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+%---------------------------------------------------------------------------------------- + +\usepackage{blindtext} % Package to generate dummy text +\usepackage{charter} % Use the Charter font +\usepackage[utf8]{inputenc} % Use UTF-8 encoding +\usepackage{microtype} % Slightly tweak font spacing for aesthetics +\usepackage[english, ngerman]{babel} % Language hyphenation and typographical rules +\usepackage{amsthm, amsmath, amssymb} % Mathematical typesetting +\usepackage{float} % Improved interface for floating objects +\usepackage[final, colorlinks = true, + linkcolor = black, + citecolor = black]{hyperref} % For hyperlinks in the PDF +\usepackage{graphicx, multicol} % Enhanced support for graphics +\usepackage{xcolor} % Driver-independent color extensions +\usepackage{marvosym, wasysym} % More symbols +\usepackage{rotating} % Rotation tools +\usepackage{censor} % Facilities for controlling restricted text +\usepackage{listings, style/lstlisting} % Environment for non-formatted code, !uses style file! +\usepackage{pseudocode} % Environment for specifying algorithms in a natural way +\usepackage{style/avm} % Environment for f-structures, !uses style file! +\usepackage{booktabs} % Enhances quality of tables +\usepackage{tikz-qtree} % Easy tree drawing tool +\tikzset{every tree node/.style={align=center,anchor=north}, + level distance=2cm} % Configuration for q-trees +\usepackage{style/btree} % Configuration for b-trees and b+-trees, !uses style file! +\usepackage[backend=biber,style=numeric, + sorting=nyt]{biblatex} % Complete reimplementation of bibliographic facilities +\addbibresource{ecl.bib} +\usepackage{csquotes} % Context sensitive quotation facilities +\usepackage[yyyymmdd]{datetime} % Uses YEAR-MONTH-DAY format for dates +\renewcommand{\dateseparator}{-} % Sets dateseparator to '-' +\usepackage{fancyhdr} % Headers and footers +\pagestyle{fancy} % All pages have headers and footers +\fancyhead{}\renewcommand{\headrulewidth}{0pt} % Blank out the default header +\fancyfoot[L]{} % Custom footer text +\fancyfoot[C]{} % Custom footer text +\fancyfoot[R]{\thepage} % Custom footer text +\newcommand{\note}[1]{\marginpar{\scriptsize \textcolor{red}{#1}}} % Enables comments in red on margin + +%---------------------------------------------------------------------------------------- + diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-1/latex/latex/main.pdf b/second/semester1/CT255/Assessment/CT255-Assignment-1/latex/latex/main.pdf new file mode 100644 index 00000000..9c9f58d6 Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-1/latex/latex/main.pdf differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-1/latex/latex/main.run.xml b/second/semester1/CT255/Assessment/CT255-Assignment-1/latex/latex/main.run.xml new file mode 100644 index 00000000..c60e32b3 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-1/latex/latex/main.run.xml @@ -0,0 +1,87 @@ + + + + + + + + + + + + + + + + + + + + + + + + +]> + + + latex + + main.bcf + + + main.bbl + + + blx-dm.def + blx-compat.def + biblatex.def + standard.bbx + numeric.bbx + numeric.cbx + biblatex.cfg + german.lbx + ngerman.lbx + english.lbx + + + + biber + + biber + main + + + main.bcf + + + main.bbl + + + main.bbl + + + main.bcf + + + ecl.bib + + + diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-1/latex/latex/main.tex b/second/semester1/CT255/Assessment/CT255-Assignment-1/latex/latex/main.tex new file mode 100644 index 00000000..a10edf89 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-1/latex/latex/main.tex @@ -0,0 +1,121 @@ +\documentclass[a4paper]{article} +\input{head} +\begin{document} + +%------------------------------- +% TITLE SECTION +%------------------------------- + +\fancyhead[C]{} +\hrule \medskip % Upper rule +\begin{minipage}{0.295\textwidth} +\raggedright +\footnotesize +Andrew Hayes \hfill\\ +21321503 \hfill\\ +a.hayes18@nuigalway.ie +\end{minipage} +\begin{minipage}{0.4\textwidth} +\centering +\large +CT255 Assignment 1\\ +\normalsize +GDPR\\ +\end{minipage} +\begin{minipage}{0.295\textwidth} +\raggedleft +\today\hfill\\ +\end{minipage} +\medskip\hrule +\bigskip + +%------------------------------- +% CONTENTS +%------------------------------- + +\section{Problem 1} +\subsection{What is GDPR?} +The \textbf{General Data Protection Regulation (GDPR)} is a legal regulation in EU law pertaining to the protection of data within the European Union and the European Economic Area (EEA), and the protection of this data when it is transferred out of this region. GDPR applies to any organisation that is processing the personal data of individuals who are in the EEA, regardless of the location of said organisation or the citizenship / residence status of the individuals whose data is being processed. GDPR sets out several key principles in relation to the processing of personal data: + +\begin{itemize} + \item \textbf{Lawfulness -} You must identify a \textit{lawful basis} under the GDPR for the processing of personal data. + \item \textbf{Fairness \& Transparency -} You must be open \& honest with the Data Subjects about how and why their data is being processed, and you must not use this data in a way that doesn't align with these methods. + \item \textbf{Purpose Limitation -} You must clearly state your purposes for processing the personal data of Data Subjects from the start, and may only use the data for different purpose if it is either compatible with your original purpose, you get \textit{consent}, or if you have a \textit{clear basis} in law. + \item \textbf{Data Minimisation -} The personal data you process must be \textit{adequate}, \textit{relevant}, and \textit{limited} only to what is necessary. + \item \textbf{Accuracy -} Personal data should not be incorrect or misleading. + \item \textbf{Storage Limitation -} You must not keep personal data for longer than you need it. + \item \textbf{Integrity \& Confidentiality -} You must take appropriate technical \& organisational measures to ensure that the personal data of data subjects remains \textit{secure}. + \item \textbf{Accountability -} You must be able to demonstrate your compliance with GDPR. +\end{itemize} +\bigbreak + +All Data Processors (i.e., anyone who is responsible for the processing of personal information) are motivated to obey GDPR by threat of strict penalties. For particularly serious GDPR breaches, a Data Processor could be fined up to €20 million, or 4\% of the firm's global turnover. For less serious breaches, the Data Processor can be fined up to €10 million, or 2\% of the firm's global turnover. + + +\subsection{Why was GDPR introduced? What was the motivation for this legislation?} +GDPR was introduced with the aim of enhancing the rights \& control of individuals over their personal data and to simplify data processing regulations with regards to international businesses. +\bigbreak +As the processing of the personal data of individuals increases in the modern world with the advent of modern technology, it has became necessary to update the laws governing the processing of personal data to protect the interests of data subjects in an era of unprecedented data collection, surveillance, \& processing. GDPR sets out clear \& concise principles \& rules that determine who's personal data may be processed, what information this data may consist of, when it is acceptable to process it, where this data can be processed \& relocated to, why this data may or may not be processed, and how this data processing can be undertaken. +\bigbreak +The European Parliament adopted the GDPR in April 2016 to replace the then-outdated Data Protection Directive, which was first enacted in 1995. +There were 2 main issues with the Data Protection Directive that made it necessary to replace it: +\begin{enumerate} + \item Under EU law, a ``Directive'' is less strict than a ``Regulation''. + A Directive allows the EU member states to adapt \& change the law to fit the needs of their citizens, while a Regulation does not allow this. + A Regulation forces the member states to adopt it, and does not allow them to adapt or change it at all. + \item The Data Protection Directive was too outdated for the modern world. + It did not address how data is collected, stored, or transferred in the digital world, and thus largely failed to regulate digital data processing. +\end{enumerate} + +\bigskip + +%------------------------------------------------ + +\section{Problem 2} +This company needs to be extremely careful with their GDPR compliance, as they are handling some extremely sensitive personal information. +\newline\newline +With regards to the GDPR key principle of \textbf{Lawfulness}, I think that this website is in the clear. +Since the users are uploading their own data of their own volition, this gives the website a clear lawful basis for data processing - they have the \textit{consent} of the data subjects for the processing of their data. +\newline\newline +I do, however, have some concerns about the compliance of the company with GDPR key principle \textbf{Fairness \& Transparency}. The company is quite vague about how they process the personal data of the users, how the data is stored, etc. +There is no mention of any kind of Data Protection Notice that informs the user of the identity \& contact details of the Data Controller, the contact details of the Data Protection officer, the details of any data transfer out of of the EEA or the safeguards in place, the data retention period, or the individual's rights. +The only information that the Data Subjects really have is the purpose of the processing and (at least some of) the recipients of the data. +It's possible that other people are in receipt of the users' personal data as well, but there is no mention of this. + +\bigbreak + +The company should be in the clear with regards to \textbf{Purpose Limitation}, assuming that they are being fully open \& honest about their purposes for processing the data, and stick to these purposes, but if they are not doing this, then that is a massive issue. +\newline\newline +The principle of \textbf{Data Minimisation} is a bit more of a grey area for this website. +It's hard to say what data is and isn't adequate \& relevant to the purpose of "keeping in touch". +Personally, I would be of the opinion that absolutely none of the data mentioned is relevant for the purposes of "keeping in touch", but it is plausible that some people would feel otherwise. +It could be problematic for the company that they allow the users to upload pretty much whatever they want, as the company may end up in possession of a lot of irrelevant data that the users uploaded. +The company needs to be extremely careful with receiving data that they didn't expect to receive, which may or may not be relevant to the purposes of the company. +\newline\newline +The principle of \textbf{Accuracy} is another potentially problematic one for this company. +The company must take all reasonable steps to ensure that the personal data that they hold is not incorrect or misleading as to any matter of fact. +It's not unlikely that some, if not many, of the users of the website will ``exaggerate'' (or just make up) positive aspects of their life after university, their salary, etc. +There also doesn't seem to be any protocol to verify that the users are who they say they are, so anyone could be uploading the personal data, fictitious or otherwise, of anyone else, and this data could be viewed by anyone in the world, so long as they claimed to be an alumni of a particular course. +This is a problem for the company, as they have the responsibility to ensure that the data is accurate, although this may be considered to be something that the company cannot reasonably be expected to regulate / control. +\newline\newline +The company does not seem to comply with the principle of \textbf{Storage Limitation} at all. +There is no mention of data retention period, or how the users might be able to learn their data retention periods. +\newline\newline +Similarly, the company doesn't seem to comply with \textbf{Accountability \& Governance} at all either. +There is no attempt to provide an assurance of GDPR compliance, or to explain why the data is held, when it will be deleted, and who may gain access to it. +\newline\newline +There is no mention of any attempt to comply with \textbf{Integrity \& Confidentiality} either. +There is no mention of any security measure such as encryption, nor do they mention any other technical measures that they might use to process the data securely. + +\bigskip + +\section{References} +\begin{enumerate} + \item Schukat, M. (2022-09-09). \textit{CT255 Lecture Slides - GDPR.} Blackboard. + \item Wolford, B. \textit{What is GDPR, the EU's new data protection law?} Proton. https://gdpr.eu/what-is-gdpr/ + \item Sivula, A. \textit{GDPR: What Happens If You Don't Comply}. AMD Solicitors. https://amdsolicitors.com/gdpr-what-happens-if-you-dont-comply/ + \item Rossow, A. \textit{The Birth of GDPR: What Is It And What You Need To Know}. Forbes\\ https://www.forbes.com/sites/andrewrossow/2018/05/25/the-birth-of-gdpr-what-is-it-and-what-you-need-to-know/?sh=62b80a5a55e5 +\end{enumerate} +%------------------------------------------------ + +\end{document} diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-1/src/CT255_HashFunction1.java b/second/semester1/CT255/Assessment/CT255-Assignment-1/src/CT255_HashFunction1.java new file mode 100644 index 00000000..aaa287ca --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-1/src/CT255_HashFunction1.java @@ -0,0 +1,97 @@ +//package ct255; + +import java.util.Random; + +public class CT255_HashFunction1 { + + public static void main(String[] args) { + int res = 0; + + if (args != null && args.length > 0) { // Check for value + res = hashF1(args[0]); // call hash function with + if (res < 0) { // Error + System.out.println("Error: must be 1 to 64 characters long."); + } + else { + System.out.println("input = " + args[0] + " : Hash = " + res); + + + System.out.println("Start searching for collisions"); + int collisionCount = 0; // variable to count the number of collisions found + + // string containing all possible ASCII characters (exclusding control characters such as [NULL]) + String allChars = "!\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~"; + + for (int i = 0; i < 100000; i++) { // checking one million randomly generated strings for hash collisions + StringBuilder str = new StringBuilder(); // creating a new StringBuilder to build char by char + + // generating 64 random characters & appending them to str + for (int j = 0; j < 64; j++) { + char c = allChars.charAt(new Random().nextInt(allChars.length())); // selecting a random character from allChars + str.append(c); // appending the randomly selected character to str + } + + // hashing str & checking if the hash matches res + if (hashF1(str.toString()) == res) { + collisionCount++; // iterating collisionCount if collision found + System.out.println(str); // printing the String that generated the collision + } + } + + // printing the number of collisions found + System.out.printf("%d hash collisions found!", collisionCount); + } + } + else { // No + System.out.println("Use: CT255_HashFunction1 "); + } + } + + private static int hashF1(String s){ + int ret = -1, i; + int[] hashA = new int[]{1, 1, 1, 1, 1, 1, 1, 1, 1, 1}; // i extended this array by 6 indices to make code more robust + // essentially, the extent of my improvements was just increasing the size of the hashA array + + String filler, sIn; + + filler = new String("ABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGH"); + + if ((s.length() > 64) || (s.length() < 1)) { // String does not have required length + ret = -1; + } + else { + sIn = s + filler; // Add characters, now have "HABCDEF..." + sIn = sIn.substring(0, 64); // // Limit string to first 64 characters + // System.out.println(sIn); // FYI + for (i = 0; i < sIn.length(); i++){ + char byPos = sIn.charAt(i); // get ith character + hashA[0] += (byPos * 17); // Note: A += B means A = A + B + hashA[1] += (byPos * 31); + hashA[2] += (byPos * 101); + hashA[3] += (byPos * 79); + hashA[4] += byPos * 83; + hashA[5] += byPos * 89; + hashA[6] += byPos * 103; + hashA[7] += byPos * 107; + hashA[8] += byPos * 109; + hashA[9] += byPos * 113; + } + + hashA[0] %= 255; // % is the modulus operation, i.e. division with rest + hashA[1] %= 255; + hashA[2] %= 255; + hashA[3] %= 255; + hashA[4] %= 255; + hashA[5] %= 255; + hashA[6] %= 255; + hashA[7] %= 255; + hashA[8] %= 255; + hashA[9] %= 255; + + ret = hashA[0] + (hashA[1] * 256) + (hashA[2] * 256 * 256) + (hashA[3] * 256 * 256 * 256) + (hashA[4] * 256*256*256*256) + (hashA[5] * 256*256*256*256*256) + (hashA[6] * 256*236*256*256*256*256) + + (hashA[6] * 256*256*256*256*256*256) + (hashA[7] * 256*256*256*256*256*256*256) + (hashA[8] * 256*256*256*256*256*256*256*256) + (hashA[9] * 256*256*256*256*256*256*256*256*256); + if (ret < 0) ret *= -1; + } + return ret; + } +} diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-1/submission.zip b/second/semester1/CT255/Assessment/CT255-Assignment-1/submission.zip new file mode 100644 index 00000000..901be966 Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-1/submission.zip differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-1/submission/CT255_Assignment_2___Breaking_Hash_Functions.pdf b/second/semester1/CT255/Assessment/CT255-Assignment-1/submission/CT255_Assignment_2___Breaking_Hash_Functions.pdf new file mode 100644 index 00000000..4f2a3f4a Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-1/submission/CT255_Assignment_2___Breaking_Hash_Functions.pdf differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-1/submission/CT255_HashFunction1.java b/second/semester1/CT255/Assessment/CT255-Assignment-1/submission/CT255_HashFunction1.java new file mode 100644 index 00000000..aaa287ca --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-1/submission/CT255_HashFunction1.java @@ -0,0 +1,97 @@ +//package ct255; + +import java.util.Random; + +public class CT255_HashFunction1 { + + public static void main(String[] args) { + int res = 0; + + if (args != null && args.length > 0) { // Check for value + res = hashF1(args[0]); // call hash function with + if (res < 0) { // Error + System.out.println("Error: must be 1 to 64 characters long."); + } + else { + System.out.println("input = " + args[0] + " : Hash = " + res); + + + System.out.println("Start searching for collisions"); + int collisionCount = 0; // variable to count the number of collisions found + + // string containing all possible ASCII characters (exclusding control characters such as [NULL]) + String allChars = "!\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~"; + + for (int i = 0; i < 100000; i++) { // checking one million randomly generated strings for hash collisions + StringBuilder str = new StringBuilder(); // creating a new StringBuilder to build char by char + + // generating 64 random characters & appending them to str + for (int j = 0; j < 64; j++) { + char c = allChars.charAt(new Random().nextInt(allChars.length())); // selecting a random character from allChars + str.append(c); // appending the randomly selected character to str + } + + // hashing str & checking if the hash matches res + if (hashF1(str.toString()) == res) { + collisionCount++; // iterating collisionCount if collision found + System.out.println(str); // printing the String that generated the collision + } + } + + // printing the number of collisions found + System.out.printf("%d hash collisions found!", collisionCount); + } + } + else { // No + System.out.println("Use: CT255_HashFunction1 "); + } + } + + private static int hashF1(String s){ + int ret = -1, i; + int[] hashA = new int[]{1, 1, 1, 1, 1, 1, 1, 1, 1, 1}; // i extended this array by 6 indices to make code more robust + // essentially, the extent of my improvements was just increasing the size of the hashA array + + String filler, sIn; + + filler = new String("ABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGH"); + + if ((s.length() > 64) || (s.length() < 1)) { // String does not have required length + ret = -1; + } + else { + sIn = s + filler; // Add characters, now have "HABCDEF..." + sIn = sIn.substring(0, 64); // // Limit string to first 64 characters + // System.out.println(sIn); // FYI + for (i = 0; i < sIn.length(); i++){ + char byPos = sIn.charAt(i); // get ith character + hashA[0] += (byPos * 17); // Note: A += B means A = A + B + hashA[1] += (byPos * 31); + hashA[2] += (byPos * 101); + hashA[3] += (byPos * 79); + hashA[4] += byPos * 83; + hashA[5] += byPos * 89; + hashA[6] += byPos * 103; + hashA[7] += byPos * 107; + hashA[8] += byPos * 109; + hashA[9] += byPos * 113; + } + + hashA[0] %= 255; // % is the modulus operation, i.e. division with rest + hashA[1] %= 255; + hashA[2] %= 255; + hashA[3] %= 255; + hashA[4] %= 255; + hashA[5] %= 255; + hashA[6] %= 255; + hashA[7] %= 255; + hashA[8] %= 255; + hashA[9] %= 255; + + ret = hashA[0] + (hashA[1] * 256) + (hashA[2] * 256 * 256) + (hashA[3] * 256 * 256 * 256) + (hashA[4] * 256*256*256*256) + (hashA[5] * 256*256*256*256*256) + (hashA[6] * 256*236*256*256*256*256) + + (hashA[6] * 256*256*256*256*256*256) + (hashA[7] * 256*256*256*256*256*256*256) + (hashA[8] * 256*256*256*256*256*256*256*256) + (hashA[9] * 256*256*256*256*256*256*256*256*256); + if (ret < 0) ret *= -1; + } + return ret; + } +} diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-1/submission/image.png b/second/semester1/CT255/Assessment/CT255-Assignment-1/submission/image.png new file mode 100644 index 00000000..a76881b5 Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-1/submission/image.png differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-1/submission/image1.png b/second/semester1/CT255/Assessment/CT255-Assignment-1/submission/image1.png new file mode 100644 index 00000000..924bc698 Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-1/submission/image1.png differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/.idea/.gitignore b/second/semester1/CT255/Assessment/CT255-Assignment-2/.idea/.gitignore new file mode 100644 index 00000000..26d33521 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-2/.idea/.gitignore @@ -0,0 +1,3 @@ +# Default ignored files +/shelf/ +/workspace.xml diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/.idea/misc.xml b/second/semester1/CT255/Assessment/CT255-Assignment-2/.idea/misc.xml new file mode 100644 index 00000000..7505e256 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-2/.idea/misc.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/.idea/modules.xml b/second/semester1/CT255/Assessment/CT255-Assignment-2/.idea/modules.xml new file mode 100644 index 00000000..23fbca6d --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-2/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/CT255 Assignment 2.pdf b/second/semester1/CT255/Assessment/CT255-Assignment-2/CT255 Assignment 2.pdf new file mode 100644 index 00000000..94e993ba Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-2/CT255 Assignment 2.pdf differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/CT255-Assignment-2.iml b/second/semester1/CT255/Assessment/CT255-Assignment-2/CT255-Assignment-2.iml new file mode 100644 index 00000000..b107a2dd --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-2/CT255-Assignment-2.iml @@ -0,0 +1,11 @@ + + + + + + + + + + + \ No newline at end of file diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/CT255_Assignment_2___Rainbow_Tables.pdf b/second/semester1/CT255/Assessment/CT255-Assignment-2/CT255_Assignment_2___Rainbow_Tables.pdf new file mode 100644 index 00000000..b9885842 Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-2/CT255_Assignment_2___Rainbow_Tables.pdf differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/RainbowTable.java b/second/semester1/CT255/Assessment/CT255-Assignment-2/RainbowTable.java new file mode 100644 index 00000000..54db3faa --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-2/RainbowTable.java @@ -0,0 +1,123 @@ +import java.util.HashMap; + +/* CT255 Assignment 2 + * This class provides functionality to build rainbow tables (with a different reduction function per round) for 8 character long strings, which + consist of the symbols "a .. z", "A .. Z", "0 .. 9", "!" and "#" (64 symbols in total). + Properly used, it creates the following value pairs (start value - end value) after 10,000 iterations of hashFunction() and reductionFunction(): + start value - end value + Kermit12 lsXcRAuN + Modulus! L2rEsY8h + Pigtail1 R0NoLf0w + GalwayNo 9PZjwF5c + Trumpets !oeHRZpK + HelloPat dkMPG7!U + pinky##! eDx58HRq + 01!19!56 vJ90ePjV + aaaaaaaa rLtVvpQS + aaaaaaaa klQ6IeQJ + + + * + * @author Michael Schukat + * @version 1.0 + */ +public class RainbowTable +{ + public static void main(String[] args) { + long res = 0; + + // String array of the known passwords + String[] passwords = {"Kermit12", "Modulus!", "Pigtail1", "GalwayNo", "Trumpets", "HelloPat", "pinky##!", "01!19!56", "aaaaaaaa", "aaaaaaaa"}; + + HashMap rainbowTable = new HashMap<>(); // declaring a HashTable that i'll use to store the password : hash pairs + + + // looping through the passwords array + for (String start : passwords) { + if (start.length() != 8) { + System.out.println("Input " + start + " must be 8 characters long - Exit"); + } + else { + String hash = start; // declaring a String hash that will hold the final reduced hash of a given password + + // hashing & reducing the start String 10000 times. + for (int i = 0; i < 10000; i++) { + hash = reductionFunction((hashFunction(hash)), i); + } + + // adding the password & its hash value to the rainbowTable HashMap + rainbowTable.put(start, hash); + } + } + // printing out the contents of the rainbowTable + System.out.println(rainbowTable); + + // chain lookup section + // long array of the 4 hashes to be searched for + long[] hashes = {895210601874431214L, 750105908431234638L, 111111111115664932L, 977984261343652499L}; + + // for each loop that loops through each hash in the array of hashes + for (long hash : hashes) { + + // looping 10000 times to search for the password - this will function as our max number of iterations, as 10000 iterations should just take use back to where we started. + for (int i = 0; i < 10000; i++) { + // reducing the hash + String str = reductionFunction(hash, i); + System.out.println(hash + " : " + str); + // checking if the reduced hash is a value (final plaintext) in the rainbowTable HashMap + if (rainbowTable.containsValue(str)) { + System.out.println("Found password " + str + " for hash value " + hash); // printing the found password + break; // breaking out of the for loop + } + else { + hash = hashFunction(str); // hashing str before continuing the for loop + } + } + } + } + + private static long hashFunction(String s){ + long ret = 0; + int i; + long[] hashA = new long[]{1, 1, 1, 1}; + + String filler, sIn; + + int DIV = 65536; + + filler = new String("ABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGH"); + + sIn = s + filler; // Add characters, now have "HABCDEF..." + sIn = sIn.substring(0, 64); // Limit string to first 64 characters + + for (i = 0; i < sIn.length(); i++) { + char byPos = sIn.charAt(i); // get i'th character + hashA[0] += (byPos * 17111); // Note: A += B means A = A + B + hashA[1] += (hashA[0] + byPos * 31349); + hashA[2] += (hashA[1] - byPos * 101302); + hashA[3] += (byPos * 79001); + } + + ret = (hashA[0] + hashA[2]) + (hashA[1] * hashA[3]); + if (ret < 0) ret *= -1; + return ret; + } + + private static String reductionFunction(long val, int round) { // Note that for the first function call "round" has to be 0, + String car, out; // and has to be incremented by one with every subsequent call. + int i; // I.e. "round" created variations of the reduction function. + char dat; + + car = new String("0123456789ABCDEFGHIJKLMNOPQRSTUNVXYZabcdefghijklmnopqrstuvwxyz!#"); + out = new String(""); + + for (i = 0; i < 8; i++) { + val -= round; + dat = (char) (val % 63); + val = val / 83; + out = out + car.charAt(dat); + } + + return out; + } +} diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/head.tex b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/head.tex new file mode 100644 index 00000000..395f2b28 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/head.tex @@ -0,0 +1,49 @@ +\addtolength{\hoffset}{-2.25cm} +\addtolength{\textwidth}{4.5cm} +\addtolength{\voffset}{-3.25cm} +\addtolength{\textheight}{5cm} +\setlength{\parskip}{0pt} +\setlength{\parindent}{0in} + +%---------------------------------------------------------------------------------------- +% PACKAGES AND OTHER DOCUMENT CONFIGURATIONS +%---------------------------------------------------------------------------------------- + +\usepackage{blindtext} % Package to generate dummy text +\usepackage{charter} % Use the Charter font +\usepackage[utf8]{inputenc} % Use UTF-8 encoding +\usepackage{microtype} % Slightly tweak font spacing for aesthetics +\usepackage[english, ngerman]{babel} % Language hyphenation and typographical rules +\usepackage{amsthm, amsmath, amssymb} % Mathematical typesetting +\usepackage{float} % Improved interface for floating objects +\usepackage[final, colorlinks = true, + linkcolor = black, + citecolor = black]{hyperref} % For hyperlinks in the PDF +\usepackage{graphicx, multicol} % Enhanced support for graphics +\usepackage{xcolor} % Driver-independent color extensions +\usepackage{marvosym, wasysym} % More symbols +\usepackage{rotating} % Rotation tools +\usepackage{censor} % Facilities for controlling restricted text +\usepackage{listings, style/lstlisting} % Environment for non-formatted code, !uses style file! +\usepackage{pseudocode} % Environment for specifying algorithms in a natural way +\usepackage{style/avm} % Environment for f-structures, !uses style file! +\usepackage{booktabs} % Enhances quality of tables +\usepackage{tikz-qtree} % Easy tree drawing tool +\tikzset{every tree node/.style={align=center,anchor=north}, + level distance=2cm} % Configuration for q-trees +\usepackage{style/btree} % Configuration for b-trees and b+-trees, !uses style file! +\usepackage[backend=biber,style=numeric, + sorting=nyt]{biblatex} % Complete reimplementation of bibliographic facilities +\addbibresource{ecl.bib} +\usepackage{csquotes} % Context sensitive quotation facilities +\usepackage[yyyymmdd]{datetime} % Uses YEAR-MONTH-DAY format for dates +\renewcommand{\dateseparator}{-} % Sets dateseparator to '-' +\usepackage{fancyhdr} % Headers and footers +\pagestyle{fancy} % All pages have headers and footers +\fancyhead{}\renewcommand{\headrulewidth}{0pt} % Blank out the default header +\fancyfoot[L]{} % Custom footer text +\fancyfoot[C]{} % Custom footer text +\fancyfoot[R]{\thepage} % Custom footer text +\newcommand{\note}[1]{\marginpar{\scriptsize \textcolor{red}{#1}}} % Enables comments in red on margin + +%---------------------------------------------------------------------------------------- diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/image.png b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/image.png new file mode 100644 index 00000000..70c38797 Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/image.png differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/image1.png b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/image1.png new file mode 100644 index 00000000..924bc698 Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/image1.png differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/main.pdf b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/main.pdf new file mode 100644 index 00000000..06992f2b Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/main.pdf differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/main.run.xml b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/main.run.xml new file mode 100644 index 00000000..ef627f13 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/main.run.xml @@ -0,0 +1,87 @@ + + + + + + + + + + + + + + + + + + + + + + + + +]> + + + latex + + main.bcf + + + main.bbl + + + blx-dm.def + blx-compat.def + biblatex.def + standard.bbx + numeric.bbx + numeric.cbx + biblatex.cfg + german.lbx + ngerman.lbx + english.lbx + + + + biber + + biber + main + + + main.bcf + + + main.bbl + + + main.bbl + + + main.bcf + + + ecl.bib + + + diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/main.tex b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/main.tex new file mode 100644 index 00000000..1e0df2cd --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/main.tex @@ -0,0 +1,281 @@ +\documentclass[a4paper]{article} +\input{head} +\begin{document} + +%------------------------------- +% TITLE SECTION +%------------------------------- + +\fancyhead[C]{} +\hrule \medskip % Upper rule +\begin{minipage}{0.295\textwidth} +\raggedright +\footnotesize +Andrew Hayes \hfill\\ +21321503 \hfill\\ +a.hayes18@nuigalway.ie +\end{minipage} +\begin{minipage}{0.4\textwidth} +\centering +\large +CT255 Assignment 2\\ +\normalsize +Rainbow Tables\\ +\end{minipage} +\begin{minipage}{0.295\textwidth} +\raggedleft +\today\hfill\\ +\end{minipage} +\medskip\hrule +\bigskip + +%------------------------------- +% CONTENTS +%------------------------------- + +\section{Problem 1} +\subsection{Code} +\begin{lstlisting}[language=Java] +import java.util.HashMap; + +/* CT255 Assignment 2 + * This class provides functionality to build rainbow tables (with a different reduction function per round) for 8 character long strings, which + consist of the symbols "a .. z", "A .. Z", "0 .. 9", "!" and "#" (64 symbols in total). + Properly used, it creates the following value pairs (start value - end value) after 10,000 iterations of hashFunction() and reductionFunction(): + start value - end value + Kermit12 lsXcRAuN + Modulus! L2rEsY8h + Pigtail1 R0NoLf0w + GalwayNo 9PZjwF5c + Trumpets !oeHRZpK + HelloPat dkMPG7!U + pinky##! eDx58HRq + 01!19!56 vJ90ePjV + aaaaaaaa rLtVvpQS + aaaaaaaa klQ6IeQJ + + + * + * @author Michael Schukat + * @version 1.0 + */ +public class RainbowTable +{ + public static void main(String[] args) { + long res = 0; + + // String array of the known passwords + String[] passwords = {"Kermit12", "Modulus!", "Pigtail1", "GalwayNo", "Trumpets", "HelloPat", "pinky##!", "01!19!56", "aaaaaaaa", "aaaaaaaa"}; + + HashMap rainbowTable = new HashMap<>(); // declaring a HashTable that i'll use to store the password : hash pairs + + + // looping through the passwords array + for (String start : passwords) { + if (start.length() != 8) { + System.out.println("Input " + start + " must be 8 characters long - Exit"); + } + else { + String hash = start; // declaring a String hash that will hold the final reduced hash of a given password + + // hashing & reducing the start String 10000 times. + for (int i = 0; i < 10000; i++) { + hash = reductionFunction((hashFunction(hash)), i); + } + + // adding the password & its hash value to the rainbowTable HashMap + rainbowTable.put(start, hash); + } + } + // printing out the contents of the rainbowTable + System.out.println(rainbowTable); + } + + private static long hashFunction(String s){ + long ret = 0; + int i; + long[] hashA = new long[]{1, 1, 1, 1}; + + String filler, sIn; + + int DIV = 65536; + + filler = new String("ABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGH"); + + sIn = s + filler; // Add characters, now have "HABCDEF..." + sIn = sIn.substring(0, 64); // // Limit string to first 64 characters + + for (i = 0; i < sIn.length(); i++) { + char byPos = sIn.charAt(i); // get i'th character + hashA[0] += (byPos * 17111); // Note: A += B means A = A + B + hashA[1] += (hashA[0] + byPos * 31349); + hashA[2] += (hashA[1] - byPos * 101302); + hashA[3] += (byPos * 79001); + } + + ret = (hashA[0] + hashA[2]) + (hashA[1] * hashA[3]); + if (ret < 0) ret *= -1; + return ret; + } + + private static String reductionFunction(long val, int round) { // Note that for the first function call "round" has to be 0, + String car, out; // and has to be incremented by one with every subsequent call. + int i; // I.e. "round" created variations of the reduction function. + char dat; + + car = new String("0123456789ABCDEFGHIJKLMNOPQRSTUNVXYZabcdefghijklmnopqrstuvwxyz!#"); + out = new String(""); + + for (i = 0; i < 8; i++) { + val -= round; + dat = (char) (val % 63); + val = val / 83; + out = out + car.charAt(dat); + } + + return out; + } +} +\end{lstlisting} + +\subsection{Output} +\includegraphics[width = 16cm]{image.png} + +\bigskip + +%------------------------------------------------ + +\section{Problem 2} +\subsection{Code} +\begin{lstlisting}[language=java] +import java.util.HashMap; + +/* CT255 Assignment 2 + * This class provides functionality to build rainbow tables (with a different reduction function per round) for 8 character long strings, which + consist of the symbols "a .. z", "A .. Z", "0 .. 9", "!" and "#" (64 symbols in total). + Properly used, it creates the following value pairs (start value - end value) after 10,000 iterations of hashFunction() and reductionFunction(): + start value - end value + Kermit12 lsXcRAuN + Modulus! L2rEsY8h + Pigtail1 R0NoLf0w + GalwayNo 9PZjwF5c + Trumpets !oeHRZpK + HelloPat dkMPG7!U + pinky##! eDx58HRq + 01!19!56 vJ90ePjV + aaaaaaaa rLtVvpQS + aaaaaaaa klQ6IeQJ + + + * + * @author Michael Schukat + * @version 1.0 + */ +public class RainbowTable +{ + public static void main(String[] args) { + long res = 0; + + // String array of the known passwords + String[] passwords = {"Kermit12", "Modulus!", "Pigtail1", "GalwayNo", "Trumpets", "HelloPat", "pinky##!", "01!19!56", "aaaaaaaa", "aaaaaaaa"}; + + HashMap rainbowTable = new HashMap<>(); // declaring a HashTable that i'll use to store the password : hash pairs + + + // looping through the passwords array + for (String start : passwords) { + if (start.length() != 8) { + System.out.println("Input " + start + " must be 8 characters long - Exit"); + } + else { + String hash = start; // declaring a String hash that will hold the final reduced hash of a given password + + // hashing & reducing the start String 10000 times. + for (int i = 0; i < 10000; i++) { + hash = reductionFunction((hashFunction(hash)), i); + } + + // adding the password & its hash value to the rainbowTable HashMap + rainbowTable.put(start, hash); + } + } + // printing out the contents of the rainbowTable + System.out.println(rainbowTable); + + // chain lookup section + // long array of the 4 hashes to be searched for + long[] hashes = {895210601874431214L, 750105908431234638L, 111111111115664932L, 977984261343652499L}; + + // for each loop that loops through each hash in the array of hashes + for (long hash : hashes) { + + // looping 10000 times to search for the password - this will function as our max number of iterations, as 10000 iterations should just take use back to where we started. + for (int i = 0; i < 10000; i++) { + // reducing the hash + String str = reductionFunction(hash, i); + // checking if the reduced hash is a key (password) in the rainbowTable HashMap + if (rainbowTable.containsValue(str)) { + System.out.println("Found password " + str + " for hash value " + hash); // printing the found password + break; // breaking out of the for loop + } + else { + hash = hashFunction(str); // hashing str before continuing the for loop + } + } + } + } + + private static long hashFunction(String s){ + long ret = 0; + int i; + long[] hashA = new long[]{1, 1, 1, 1}; + + String filler, sIn; + + int DIV = 65536; + + filler = new String("ABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGHABCDEFGH"); + + sIn = s + filler; // Add characters, now have "HABCDEF..." + sIn = sIn.substring(0, 64); // // Limit string to first 64 characters + + for (i = 0; i < sIn.length(); i++) { + char byPos = sIn.charAt(i); // get i'th character + hashA[0] += (byPos * 17111); // Note: A += B means A = A + B + hashA[1] += (hashA[0] + byPos * 31349); + hashA[2] += (hashA[1] - byPos * 101302); + hashA[3] += (byPos * 79001); + } + + ret = (hashA[0] + hashA[2]) + (hashA[1] * hashA[3]); + if (ret < 0) ret *= -1; + return ret; + } + + private static String reductionFunction(long val, int round) { // Note that for the first function call "round" has to be 0, + String car, out; // and has to be incremented by one with every subsequent call. + int i; // I.e. "round" created variations of the reduction function. + char dat; + + car = new String("0123456789ABCDEFGHIJKLMNOPQRSTUNVXYZabcdefghijklmnopqrstuvwxyz!#"); + out = new String(""); + + for (i = 0; i < 8; i++) { + val -= round; + dat = (char) (val % 63); + val = val / 83; + out = out + car.charAt(dat); + } + + return out; + } +} + +\end{lstlisting} +\subsection{Output} +I couldn't actually find a password match with the above code, and I'm not sure why. My current guess would be that the reduction function wasn't being called properly, as everything else \textit{seemed} to be working as expected. I didn't call the reduction more than 10,000 times as that would theoretically just lead me back to the same place in the chain. I think that my problem is with the passing of the integer \verb|i| to the reduction function, as I think that I correctly implemented the rest of the steps for performing a chain lookup - I input a hash value, reduce it, check if the reduced form is in the list of final plaintexts (the ``Values'' in the HashMap), and if so break out of the loop (but this never occurs), assigning the relevant ``Key'' from the HashMap as the original plaintext password that produced the original input hash. Otherwise, I continue until I'm back at the same place in the chain after the 10,000\textsuperscript{th} iteration, where the code gives up. + +\bigskip + +\includegraphics[width = 16cm]{image.png} +\end{document} diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/style/avm.sty b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/style/avm.sty new file mode 100644 index 00000000..a872483c --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/style/avm.sty @@ -0,0 +1,165 @@ +% avm.sty -- for attribute-value matrices -- mar 29, 1992; rev. dec 6, 1993 +% (c) 1992 christopher manning (manning@csli.stanford.edu) -- see avm.doc.tex + +\newif\ifavmactive\newif\ifavmsorted\newif\ifavmlabeled +\newif\ifavmcenter\newif\ifavmbottom +\newif\ifavmbottomright\newif\ifavmtopleft\newif\ifavmtopright + +\newdimen\avmdimen +\newbox\avmboxone\newbox\avmboxthree + +\def\avmoptions#1{\avmactivefalse\avmsortedfalse\avmlabeledfalse + \avmcenterfalse\avmbottomfalse + \avmbottomrightfalse\avmtopleftfalse\avmtoprightfalse + \def\more{#1}\ifx\more\empty\else\avmjoptions#1,\@nil\fi} +\def\avmjoptions#1,#2\@nil{\def\more{#2}\csname avm#1true\endcsname + \ifx\more\empty\else\avmjoptions#2\@nil\fi} + + +\def\avmfont#1{\def\avmjfont{#1}} +\def\avmjfont{} + +\def\avmvalfont#1{\def\avmjvalfont{#1}} +\def\avmjvalfont{} + +\def\avmsortfont#1{\def\avmjsortfont{#1}} +\def\avmjsortfont{} + +\def\avmhskip#1{\def\avmjhskip{#1}} +\def\avmjhskip{1em} + +\def\avmbskip#1{\def\avmjbskip{#1}} +\def\avmjbskip{0em} + +\def\avmvskip#1{\def\avmjvskip{#1}} +\def\avmjvskip{0.385ex}%was .3875 + + +\def\avmjprolog#1{$\mskip-\thinmuskip + \left#1\hskip\avmjbskip\vcenter\bgroup\vskip\avmjvskip + \ialign\bgroup\avmjfont + \strut ##\unskip\hfil + &&\hskip\avmjhskip\avmjvalfont ##\unskip\hfil\cr} +\def\avmjpostlog#1{\crcr\egroup\vskip\avmjvskip\egroup + \hskip\avmjbskip\right#1\mskip-\thinmuskip$\ignorespaces} + + +\def\avmjcatcode{\let\lparen=(\let\rparen=)\catcode`\[=13\catcode`\]=13 + \catcode`\<=13\catcode`\@=13\catcode`\(=13\catcode`\)=13 + \catcode`\>=13\catcode`\|=13} + +{\avmjcatcode % new group: redefine above catcodes as active + +\gdef\specialavm{\avmjcatcode +\def({\avmjprolog\lparen}% +\def){\avmjpostlog\rparen}% +\def<{\avmjprolog\langle}% +\def>{\avmjpostlog\rangle}% +\ifavmsorted +\def[##1{\setbox\avmboxthree=\hbox{\avmjsortfont##1\/}\setbox2=\hbox + \bgroup\avmjprolog\lbrack}% +\def]{\avmjpostlog\rbrack\egroup\avmjsort}% +\else\ifavmlabeled +\def[##1{\def\more{##1}\setbox2=\hbox\bgroup\avmjprolog[}% +\def]{\avmjpostlog]\egroup\node{\more}{\box2}}% +\else +\def[{\avmjprolog\lbrack}% +\def]{\avmjpostlog\rbrack}% +\fi\fi +% +\def\<{$\langle$}\def\>{$\rangle$}% +\def\({\lparen}\def\){\rparen}% +\def\[{\lbrack}\def\]{\rbrack}% +\def|{$\,\vert\,$}% +\def@##1{\avmbox{##1}}% +} % end defn of \specialavm +} % restore active catcodes + + +\long\def\avm{\begingroup +\ifavmactive\specialavm +\else +\def\({\avmjprolog(}% +\def\){\avmjpostlog)}% +\def\<{\avmjprolog\langle}% +\def\>{\avmjpostlog\rangle}% +% +\ifavmsorted +\def\[##1{\setbox\avmboxthree=\hbox{\avmjsortfont##1\/}\setbox + 2=\hbox\bgroup\avmjprolog[}% +\def\]{\avmjpostlog]\egroup\avmjsort}% +\else\ifavmlabeled +\def\[##1{\def\more{##1}\setbox2=\hbox\bgroup\avmjprolog[}% +\def\]{\avmjpostlog]\egroup\node{\more}{\box2}}% +\else +\def\[{\avmjprolog[}% +\def\]{\avmjpostlog]}% +\fi\fi +% +\def\|{$\,\vert\,$}% +\def\@##1{\avmbox{##1}}% +\fi % end not active +% +\ifx\LaTeX\undefined\def\\{\cr}% running under TeX +\else \def\\{\@tabularcr}% Leverage off LaTeX's \\*[dimen] options +\fi +\def\!{\node}% +\long\def\avmjsort{\dimen2=\ht2\advance\dimen2 by -.25\baselineskip + \global\dimen\avmdimen=\wd\avmboxthree + \ifavmtopleft \raise\dimen2\llap{\box\avmboxthree}\box2% + \else\ifavmtopright \box2\raise\dimen2\box\avmboxthree% + \else\ifavmbottomright \box2\lower\dimen2\box\avmboxthree% + \else \lower\dimen2\llap{\box\avmboxthree}\box2% + \fi\fi\fi}% +\long\def\sort##1##2{\setbox2=\hbox{##2}\setbox + \avmboxthree=\hbox{\avmjsortfont##1\/}\dimen2=\ht2 + \advance\dimen2 by -.25\baselineskip + \ifavmtopleft \raise\dimen2\box\avmboxthree\box2% + \else\ifavmtopright \box2\raise\dimen2\box\avmboxthree% + \else\ifavmbottomright \box2\lower\dimen2\box\avmboxthree% + \else \lower\dimen2\box\avmboxthree\box2% + \fi\fi\fi}% +\long\def\osort##1##2{\setbox2=\hbox{##2}\setbox + \avmboxthree=\hbox{\avmjsortfont ##1\/}\avmjsort}% +\def\avml{\avmjprolog.}% +\def\avmr{\avmjpostlog.}% +\def\avmb##1{\node{##1}{\lbrack\;\rbrack}}% +\def\avmd##1{\node{##1}{---}}% +\def\q##1{\ifx ##1\{$\lbrace$\else + \ifx ##1\}$\rbrace$\else + \ifx ##1<$\langle$\else + \ifx ##1>$\rangle$\fi \fi \fi \fi}% +\def\{{\avmjprolog\lbrace}% +\def\}{\avmjpostlog\rbrace}% +\def\;{\hskip\avmjhskip}% +\def\avmspan##1{\multispan2\strut ##1\expandafter\hfil}% +\avmjfont +\openup\avmjvskip +\setbox\avmboxone=\hbox\bgroup\ignorespaces +} % end defn of \avm + + +\def\endavm{\egroup\ifvmode\leavevmode\fi % this if is useful! + \ifavmsorted\null\hskip\dimen\avmdimen\fi + \ifavmcenter + \box\avmboxone + \else \ifavmbottom + \lower.575\baselineskip\hbox{\vbox{\box\avmboxone\null}}% + \else +% the next bit is ripped off from Emma's \evnup in lingmacros.sty + \dimen2=\ht\avmboxone\advance\dimen2 by -.725\baselineskip + \lower\dimen2\box\avmboxone +\fi \fi \endgroup} + + +% based on TeXbook exercise 21.3 +\def\avmbox#1{\setbox2=\hbox{$\scriptstyle #1$}\lower.2ex\vbox{\hrule + \hbox{\vrule\kern1.25pt + \vbox{\kern1.25pt\box2\kern1.25pt}\kern1.25pt\vrule}\hrule}} + +% ============ COSTOM CONFIGURATION ============= +\avmfont{\sc} +\avmoptions{sorted,active} +\avmvalfont{\rm} +\avmsortfont{\scriptsize\it} +% =============================================== \ No newline at end of file diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/style/btree.sty b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/style/btree.sty new file mode 100644 index 00000000..edec4533 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/style/btree.sty @@ -0,0 +1,131 @@ +%% Last Modified: Thu Oct 18 18:26:25 2007. + +\NeedsTeXFormat{LaTeX2e} +\ProvidesPackage{style/btree} +\typeout{Document Style `weiw_BTree - Support drawing B+-Tree (ver 0.999)} + +\RequirePackage{tikz} +\RequirePackage{ifthen} + +% use libraries +\usetikzlibrary{arrows,shapes,decorations,matrix} + + +%% global declaration +\tikzstyle{btreeptr} = [draw, semithick, minimum height=2em] +\tikzstyle{btreeval} = [draw, semithick, minimum size=2em] +\tikzstyle{btreevale} = [draw,semithick, minimum size=2em] +\tikzstyle{btlink} = [draw, semithick, ->, >=triangle 45] + +%% macro +%% helper macros +\newcommand{\suppressemptystr}[1]{% leave blank for entries in leaf nodes + \ifthenelse{\equal{#1}{}}% + {% + \relax% + }% + % Else + {% + #1\textsuperscript{*}% + }% +}% + +\newcommand{\xyshift}[3]{% help to place the nodes + \begin{scope}[xshift=#1, yshift=#2] + #3 + \end{scope}% +} + +%% Common btree macros +\newcommand{\btreelink}[2]{% #1: src node; #2: dest node; + \draw[btlink] ([yshift=3pt] #1.south) -- (#2-b.north); +} + +\newcommand{\btreelinknorth}[2]{% #1: src node; #2: dest node; + \draw[btlink] ([yshift=3pt] #1.south) -- (#2.north); +} + +\newcommand{\btreetriangle}[2]{% #1: node name; #2 text inside + \node[anchor=north, regular polygon, regular polygon sides=3, draw] (#1) {#2}; +} + +%%====================================================================== +%% btree with capacity = 4 +\newcommand{\btreeinodefour}[5]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \& \node[btreeval] (#1-c) {#4}; \& + \node[btreeptr] (#1-4) {\vphantom{1}}; \& \node[btreeval] (#1-d) {#5}; \& + \node[btreeptr] (#1-5) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodefour}[5]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \& + \node[btreevale] (#1-c) {\suppressemptystr{#4}}; \& + \node[btreevale] (#1-d) {\suppressemptystr{#5}}; \\ + }; +} + +%%====================================================================== +%% btree with capacity = 3 +\newcommand{\btreeinodethree}[4]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \& \node[btreeval] (#1-c) {#4}; \& + \node[btreeptr] (#1-4) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodethree}[4]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \& + \node[btreevale] (#1-c) {\suppressemptystr{#4}}; \\ + }; +} + +%%====================================================================== +%% btree with capacity = 2 +\newcommand{\btreeinodetwo}[4]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodetwo}[3]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \\ + }; +} +%%====================================================================== + + + + +%% simple example +% \begin{center} +% \scalebox{0.7}{ +% \begin{tikzpicture} +% % +% \btreeinodefour{root}{13}{17}{24}{30}; +% \xyshift{-40mm}{-20mm}{\btreelnodefour{n1}{2}{3}{5}{7}} +% \xyshift{-0mm}{-20mm}{\btreelnodefour{n2}{14}{16}{}{}} +% \xyshift{40mm}{-20mm}{\btreelnodefour{n3}{19}{20}{22}{}} +% \xyshift{80mm}{-20mm}{\btreelnodefour{n4}{24}{27}{29}{}} +% \xyshift{120mm}{-20mm}{\btreelnodefour{n5}{33}{34}{38}{39}} +% % +% \foreach \x in {1,2,...,5} { \btreelink{root-\x}{n\x} } +% \end{tikzpicture} +% } +% \end{center} \ No newline at end of file diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/style/image.png b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/style/image.png new file mode 100644 index 00000000..a76881b5 Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/style/image.png differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/style/lstlisting.sty b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/style/lstlisting.sty new file mode 100644 index 00000000..3d6ba743 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-2/latex/style/lstlisting.sty @@ -0,0 +1,38 @@ +% Source: ss17_wissschreib (Eva) + +\lstset{ + basicstyle=\ttfamily\scriptsize\mdseries, + keywordstyle=\bfseries\color[rgb]{0.171875, 0.242188, 0.3125}, + identifierstyle=, + commentstyle=\color[rgb]{0.257813, 0.15625, 0}, + stringstyle=\itshape\color[rgb]{0.0195313, 0.195313, 0.0117188}, + numbers=left, + numberstyle=\tiny, + stepnumber=1, + breaklines=true, + frame=none, + showstringspaces=false, + tabsize=4, + backgroundcolor=\color[rgb]{0.98,0.98,0.98}, + captionpos=b, + float=htbp, + language=Python, + xleftmargin=15pt, + xrightmargin=15pt +} + +%(deutsche) Sonderzeichen +\lstset{literate=% + {Ä}{{\"A}}1 + {Ö}{{\"O}}1 + {Ü}{{\"U}}1 + {ä}{{\"a}}1 + {ö}{{\"o}}1 + {ü}{{\"u}}1 + {ß}{{\ss}}1 +} + +%Verwendung im Text: +%-> \begin{lstlisting}[language=Python,firstnumber=27] ... \end{lstlisting} +%-> \begin{lstlisting}[language=Python,numbers=none] ... \end{lstlisting} +%-> \lstinline[language=JAVA]{...} \ No newline at end of file diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/CT255 Assignment 3.pdf b/second/semester1/CT255/Assessment/CT255-Assignment-3/CT255 Assignment 3.pdf new file mode 100644 index 00000000..99393a2f Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-3/CT255 Assignment 3.pdf differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/Stegano1.java b/second/semester1/CT255/Assessment/CT255-Assignment-3/Stegano1.java new file mode 100644 index 00000000..8c60f131 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-3/Stegano1.java @@ -0,0 +1,173 @@ +import java.io.BufferedReader; +import java.io.BufferedWriter; +import java.io.FileReader; +import java.io.FileWriter; +import java.io.IOException; +import java.util.regex.Pattern; + +public class Stegano1 +{ + public static void main(String[] args) { + // Strings to hold the arguments. mode is either A or E for "Add" or "Extract". + String mode, inputfile, outputfile, bitstring; + Boolean err = false; // Boolean to tell if the arguments were passed correctly or not + + if (args.length > 1) { // checking that at least one argument was passed to main + // assigning the mode & inputfile arguments + mode = args[0]; + inputfile = args[1]; + + if (inputfile.equals("")) { // checking that an inputfile was provided (String was not empty) + err = true; + } + else if ((mode.equals("A")) && (args.length > 3)){ // checking if the mode is "Add" & that the number of arguments provided was greater than 3 + // assigning the outputfile & bitstring arguments + outputfile = args[2]; + bitstring = args[3]; + + if (outputfile.equals("") || bitstring.equals("")) { // checking that neither the outputfile nor bitstring were empty strings + err = true; + } + else { + // hiding the bitstring + hide(inputfile, outputfile, bitstring); + } + } + else if (mode.equals("E")){ // checking if the mode is "Extract" + // retrieving (extracting) the bitstring from text + retrieve(inputfile); + } + else { + err = true; + } + } + else { + err = true; + } + + if (err) { + System.out.println(); + System.out.println("Use: Stegano1 "); + System.out.println("Example to add a bitvector to a file: Stegano1 A inp.txt out.txt 0010101"); + System.out.println("Example to extract a bitvector from a file: Stegano1 E inp.txt"); + + } + } + + // method to hide a bitstring in a copy the input file provided + static void hide(String inpFile, String outFile, String bitString) { + // to encode 2 bits with just one symbol, i'm going to represent the binary digits as an analog represenation of the number it represents plus one + // e.g., 00 will be represented as " " (1 space), 01 as " " (2 spaces), 10 as " " (3 spaces), and 11 as " " (4 spaces) + // the two bits are treated as a binary number, and then i add one to said binary number to get the number of spaces that will represent that number + + BufferedReader reader; // declaring a BufferedReader for the input file + BufferedWriter writer; // declaring a BufferedWriter for the output file + + try { + // initialising the reader & writer to FileReaders of their respective files (inpFile & outFile) + reader = new BufferedReader(new FileReader(inpFile)); + writer = new BufferedWriter(new FileWriter(outFile)); + + String line = reader.readLine(); // reading in the first line from the input file + + // checking if the number of bits in the bitstring is uneven, and if so, adding a '0' onto the end + if (bitString.length() % 2 != 0) { bitString = bitString.concat("0"); } + + // will loop until there are no more lines to be read in from the input file (inpFile) + while (line != null) { + + // if the bitString is not (yet) an empty String + if (!bitString.equals("")) { + + // if the first 2-bit substring is 00, adding one space to the end of the line + if (bitString.substring(0,2).equals("00")) { + line = line.concat(" "); + } + // if the first 2-bit substring is 01, adding two spaces to the end of the line + else if (bitString.substring(0,2).equals("01")) { + line = line.concat(" "); + } + // if the first 2-bit substring is 10, adding three spaces to the end of the line + else if (bitString.substring(0,2).equals("10")) { + line = line.concat(" "); + } + // if the first 2-bit substring is 11, adding four spaces to the end of the line + else if (bitString.substring(0,2).equals("11")) { + line = line.concat(" "); + } + // removing the first two bits from the bitString now that they have been used + bitString = bitString.substring(2, bitString.length()); // replacing bitString with it's substring that goes from the third character to the last character + } + + // writing the amended line to the output file + writer.write(line); + writer.newLine(); + + // reading the next line + line = reader.readLine(); + } + + // closing the reader & the writer + reader.close(); + writer.close(); + } + + // catching any IOExceptions + catch (IOException e) { + e.printStackTrace(); + } + } + + // method to retrieve a hidden string from the input file provided + static void retrieve(String inpFile) { + BufferedReader reader; // declaring a BufferedReader for the input file (inpFile) + String message = ""; + + try { + reader = new BufferedReader(new FileReader(inpFile)); // initialising the reader to a FileReader of the input file (inpFile) + + String line = reader.readLine(); // reading in the first line from the input file + + // will loop until there are no more lines to be read in from the input file + while (line != null) { + // checking if the line ends in a space using a regular expression + if (Pattern.matches(".* $", line)) { // (checking if the String line contains any amount of any characters, followed by a space followed by the end of a line) + + if (Pattern.matches(".* $", line)) { // checking if the line ends in four spaces using a regular expression + message = message.concat("11"); // concatenating "11" onto the end of the message String (four spaces represents "11") + } + else if (Pattern.matches(".* $", line)) { // checking if the line ends in three spaces using a regular expression + message = message.concat("10"); // concatenating "10" onto the end of the message String (three spaces represents "10") + } + else if (Pattern.matches(".* $", line)) { // (checking if the String line contains any amount of any characters, followed by two spaces followed by the end of a line) + message = message.concat("01"); // concatenating a "1" onto the message String (two spaces represent a "1") + } + else { // essentially, this "else" means "if the line ends with one space but not two" + message = message.concat("00"); // concatenating a "0" onto the message String (one space represents a "0") + } + } + else { // if the String does not end in a space, then there is no (more) message to read + break; + } + + // reading the next line + line = reader.readLine(); + } + + // closing in the reader + reader.close(); + + // checking if the message String is empty so that an error message can be printed if no hidden message was found + if (message.equals("")) { + message = "Error: No hidden message found!"; + } + + // printing out the message + System.out.println(message); + } + // catching any IOExceptions + catch (IOException e) { + e.printStackTrace(); + } + } +} diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/head.tex b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/head.tex new file mode 100644 index 00000000..395f2b28 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/head.tex @@ -0,0 +1,49 @@ +\addtolength{\hoffset}{-2.25cm} +\addtolength{\textwidth}{4.5cm} +\addtolength{\voffset}{-3.25cm} +\addtolength{\textheight}{5cm} +\setlength{\parskip}{0pt} +\setlength{\parindent}{0in} + +%---------------------------------------------------------------------------------------- +% PACKAGES AND OTHER DOCUMENT CONFIGURATIONS +%---------------------------------------------------------------------------------------- + +\usepackage{blindtext} % Package to generate dummy text +\usepackage{charter} % Use the Charter font +\usepackage[utf8]{inputenc} % Use UTF-8 encoding +\usepackage{microtype} % Slightly tweak font spacing for aesthetics +\usepackage[english, ngerman]{babel} % Language hyphenation and typographical rules +\usepackage{amsthm, amsmath, amssymb} % Mathematical typesetting +\usepackage{float} % Improved interface for floating objects +\usepackage[final, colorlinks = true, + linkcolor = black, + citecolor = black]{hyperref} % For hyperlinks in the PDF +\usepackage{graphicx, multicol} % Enhanced support for graphics +\usepackage{xcolor} % Driver-independent color extensions +\usepackage{marvosym, wasysym} % More symbols +\usepackage{rotating} % Rotation tools +\usepackage{censor} % Facilities for controlling restricted text +\usepackage{listings, style/lstlisting} % Environment for non-formatted code, !uses style file! +\usepackage{pseudocode} % Environment for specifying algorithms in a natural way +\usepackage{style/avm} % Environment for f-structures, !uses style file! +\usepackage{booktabs} % Enhances quality of tables +\usepackage{tikz-qtree} % Easy tree drawing tool +\tikzset{every tree node/.style={align=center,anchor=north}, + level distance=2cm} % Configuration for q-trees +\usepackage{style/btree} % Configuration for b-trees and b+-trees, !uses style file! +\usepackage[backend=biber,style=numeric, + sorting=nyt]{biblatex} % Complete reimplementation of bibliographic facilities +\addbibresource{ecl.bib} +\usepackage{csquotes} % Context sensitive quotation facilities +\usepackage[yyyymmdd]{datetime} % Uses YEAR-MONTH-DAY format for dates +\renewcommand{\dateseparator}{-} % Sets dateseparator to '-' +\usepackage{fancyhdr} % Headers and footers +\pagestyle{fancy} % All pages have headers and footers +\fancyhead{}\renewcommand{\headrulewidth}{0pt} % Blank out the default header +\fancyfoot[L]{} % Custom footer text +\fancyfoot[C]{} % Custom footer text +\fancyfoot[R]{\thepage} % Custom footer text +\newcommand{\note}[1]{\marginpar{\scriptsize \textcolor{red}{#1}}} % Enables comments in red on margin + +%---------------------------------------------------------------------------------------- diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/main.pdf b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/main.pdf new file mode 100644 index 00000000..726b9e61 Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/main.pdf differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/main.run.xml b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/main.run.xml new file mode 100644 index 00000000..c60e32b3 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/main.run.xml @@ -0,0 +1,87 @@ + + + + + + + + + + + + + + + + + + + + + + + + +]> + + + latex + + main.bcf + + + main.bbl + + + blx-dm.def + blx-compat.def + biblatex.def + standard.bbx + numeric.bbx + numeric.cbx + biblatex.cfg + german.lbx + ngerman.lbx + english.lbx + + + + biber + + biber + main + + + main.bcf + + + main.bbl + + + main.bbl + + + main.bcf + + + ecl.bib + + + diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/main.tex b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/main.tex new file mode 100644 index 00000000..53c28622 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/main.tex @@ -0,0 +1,383 @@ +\documentclass[a4paper]{article} +\input{head} +\begin{document} + +%------------------------------- +% TITLE SECTION +%------------------------------- + +\fancyhead[C]{} +\hrule \medskip % Upper rule +\begin{minipage}{0.295\textwidth} +\raggedright +\footnotesize +Andrew Hayes \hfill\\ +21321503 \hfill\\ +a.hayes18@nuigalway.ie +\end{minipage} +\begin{minipage}{0.4\textwidth} +\centering +\large +CT255 Assignment 3\\ +\normalsize +Steganography\\ +\end{minipage} +\begin{minipage}{0.295\textwidth} +\raggedleft +\today\hfill\\ +\end{minipage} +\medskip\hrule +\bigskip + +%------------------------------- +% CONTENTS +%------------------------------- + +\section{Problem 1} +\subsection{Code} +\begin{lstlisting}[language=Java] +import java.io.BufferedReader; +import java.io.BufferedWriter; +import java.io.FileReader; +import java.io.FileWriter; +import java.io.IOException; +import java.util.regex.Pattern; + +public class Stegano1 +{ + public static void main(String[] args) { + // Strings to hold the arguments. mode is either A or E for "Add" or "Extract". + String mode, inputfile, outputfile, bitstring; + Boolean err = false; // Boolean to tell if the arguments were passed correctly or not + + if (args.length > 1) { // checking that at least one argument was passed to main + // assigning the mode & inputfile arguments + mode = args[0]; + inputfile = args[1]; + + if (inputfile.equals("")) { // checking that an inputfile was provided (String was not empty) + err = true; + } + else if ((mode.equals("A")) && (args.length > 3)){ // checking if the mode is "Add" & that the number of arguments provided was greater than 3 + // assigning the outputfile & bitstring arguments + outputfile = args[2]; + bitstring = args[3]; + + if (outputfile.equals("") || bitstring.equals("")) { // checking that neither the outputfile nor bitstring were empty strings + err = true; + } + else { + // hiding the bitstring + hide(inputfile, outputfile, bitstring); + } + } + else if (mode.equals("E")){ // checking if the mode is "Extract" + // retrieving (extracting) the bitstring from text + retrieve(inputfile); + } + else { + err = true; + } + } + else { + err = true; + } + + if (err) { + System.out.println(); + System.out.println("Use: Stegano1 "); + System.out.println("Example to add a bitvector to a file: Stegano1 A inp.txt out.txt 0010101"); + System.out.println("Example to extract a bitvector from a file: Stegano1 E inp.txt"); + + } + } + + // method to hide a bitstring in a copy the input file provided + static void hide(String inpFile, String outFile, String bitString) { + BufferedReader reader; // declaring a BufferedReader for the input file + BufferedWriter writer; // declaring a BufferedWriter for the output file + + try { + // initialising the reader & writer to FileReaders of their respective files (inpFile & outFile) + reader = new BufferedReader(new FileReader(inpFile)); + writer = new BufferedWriter(new FileWriter(outFile)); + + String line = reader.readLine(); // reading in the first line from the input file + + // will loop until there are no more lines to be read in from the input file (inpFile) + while (line != null) { + + // if the bitString is not (yet) an empty String + if (!bitString.equals("")) { + + // if the first bit (char) of the bitString is 0 + if (bitString.charAt(0) == '0') { // note: must use '' instead of "" for char literals + line = line.concat(" "); // concatenating a space to the end of the line (one space represents a 0) + } + + // if the first bit of the bitString is 1 + if (bitString.charAt(0) == '1') { + line = line.concat(" "); // concatenating two spaces to the end of the line (two spaces represents a 1) + } + + // removing the first bit from the bitString now that it has been used + bitString = bitString.substring(1, bitString.length()); // replacing bitString with it's substring that goes from the second character to the last character + } + + // writing the amended line to the output file + writer.write(line); + writer.newLine(); + + // reading the next line + line = reader.readLine(); + } + + // closing the reader & the writer + reader.close(); + writer.close(); + } + + // catching any IOExceptions + catch (IOException e) { + e.printStackTrace(); + } + } + + // method to retrieve a hidden string from the input file provided + static void retrieve(String inpFile) { + BufferedReader reader; // declaring a BufferedReader for the input file (inpFile) + String message = ""; + + try { + reader = new BufferedReader(new FileReader(inpFile)); // initialising the reader to a FileReader of the input file (inpFile) + + String line = reader.readLine(); // reading in the first line from the input file + + // will loop until there are no more lines to be read in from the input file + while (line != null) { + + // checking if the line ends in a space using a regular expression + if (Pattern.matches(".* $", line)) { // (checking if the String line contains any amount of any characters, followed by a space followed by the end of a line) + + // checking if the line ends in two spaces using a regular expression + if (Pattern.matches(".* $", line)) { // (checking if the String line contains any amount of any characters, followed by two spaces followed by the end of a line) + message = message.concat("1"); // concatenating a "1" onto the message String (two spaces represent a "1") + } + else { // essentially, this "else" means "if the line ends with one space but not two" + message = message.concat("0"); // concatenating a "0" onto the message String (one space represents a "0") + } + } + else { // if the String does not end in a space, then there is no (more) message to read + break; + } + + // reading the next line + line = reader.readLine(); + } + + // closing in the reader + reader.close(); + + // checking if the message String is empty so that an error message can be printed if no hidden message was found + if (message.equals("")) { + message = "Error: No hidden message found!"; + } + + // printing out the message + System.out.println(message); + } + // catching any IOExceptions + catch (IOException e) { + e.printStackTrace(); + } + } +} +\end{lstlisting} + +\subsection{Screenshot of Compilation \& Output} +\includegraphics[width = 15cm]{output1.png} +\bigskip + +%------------------------------------------------ + +\section{Problem 2} +\subsection{Code} +\begin{lstlisting}[language=java] +import java.io.BufferedReader; +import java.io.BufferedWriter; +import java.io.FileReader; +import java.io.FileWriter; +import java.io.IOException; +import java.util.regex.Pattern; + +public class Stegano1 +{ + public static void main(String[] args) { + // Strings to hold the arguments. mode is either A or E for "Add" or "Extract". + String mode, inputfile, outputfile, bitstring; + Boolean err = false; // Boolean to tell if the arguments were passed correctly or not + + if (args.length > 1) { // checking that at least one argument was passed to main + // assigning the mode & inputfile arguments + mode = args[0]; + inputfile = args[1]; + + if (inputfile.equals("")) { // checking that an inputfile was provided (String was not empty) + err = true; + } + else if ((mode.equals("A")) && (args.length > 3)){ // checking if the mode is "Add" & that the number of arguments provided was greater than 3 + // assigning the outputfile & bitstring arguments + outputfile = args[2]; + bitstring = args[3]; + + if (outputfile.equals("") || bitstring.equals("")) { // checking that neither the outputfile nor bitstring were empty strings + err = true; + } + else { + // hiding the bitstring + hide(inputfile, outputfile, bitstring); + } + } + else if (mode.equals("E")){ // checking if the mode is "Extract" + // retrieving (extracting) the bitstring from text + retrieve(inputfile); + } + else { + err = true; + } + } + else { + err = true; + } + + if (err) { + System.out.println(); + System.out.println("Use: Stegano1 "); + System.out.println("Example to add a bitvector to a file: Stegano1 A inp.txt out.txt 0010101"); + System.out.println("Example to extract a bitvector from a file: Stegano1 E inp.txt"); + + } + } + + // method to hide a bitstring in a copy the input file provided + static void hide(String inpFile, String outFile, String bitString) { + // to encode 2 bits with just one symbol, i'm going to represent the binary digits as an analog represenation of the number it represents plus one + // e.g., 00 will be represented as " " (1 space), 01 as " " (2 spaces), 10 as " " (3 spaces), and 11 as " " (4 spaces) + // the two bits are treated as a binary number, and then i add one to said binary number to get the number of spaces that will represent that number + + BufferedReader reader; // declaring a BufferedReader for the input file + BufferedWriter writer; // declaring a BufferedWriter for the output file + + try { + // initialising the reader & writer to FileReaders of their respective files (inpFile & outFile) + reader = new BufferedReader(new FileReader(inpFile)); + writer = new BufferedWriter(new FileWriter(outFile)); + + String line = reader.readLine(); // reading in the first line from the input file + + // checking if the number of bits in the bitstring is uneven, and if so, adding a '0' onto the end + if (bitString.length() % 2 != 0) { bitString = bitString.concat("0"); } + + // will loop until there are no more lines to be read in from the input file (inpFile) + while (line != null) { + + // if the bitString is not (yet) an empty String + if (!bitString.equals("")) { + + // if the first 2-bit substring is 00, adding one space to the end of the line + if (bitString.substring(0,2).equals("00")) { + line = line.concat(" "); + } + // if the first 2-bit substring is 01, adding two spaces to the end of the line + else if (bitString.substring(0,2).equals("01")) { + line = line.concat(" "); + } + // if the first 2-bit substring is 10, adding three spaces to the end of the line + else if (bitString.substring(0,2).equals("10")) { + line = line.concat(" "); + } + // if the first 2-bit substring is 11, adding four spaces to the end of the line + else if (bitString.substring(0,2).equals("11")) { + line = line.concat(" "); + } + // removing the first two bits from the bitString now that they have been used + bitString = bitString.substring(2, bitString.length()); // replacing bitString with it's substring that goes from the third character to the last character + } + + // writing the amended line to the output file + writer.write(line); + writer.newLine(); + + // reading the next line + line = reader.readLine(); + } + + // closing the reader & the writer + reader.close(); + writer.close(); + } + + // catching any IOExceptions + catch (IOException e) { + e.printStackTrace(); + } + } + + // method to retrieve a hidden string from the input file provided + static void retrieve(String inpFile) { + BufferedReader reader; // declaring a BufferedReader for the input file (inpFile) + String message = ""; + + try { + reader = new BufferedReader(new FileReader(inpFile)); // initialising the reader to a FileReader of the input file (inpFile) + + String line = reader.readLine(); // reading in the first line from the input file + + // will loop until there are no more lines to be read in from the input file + while (line != null) { + // checking if the line ends in a space using a regular expression + if (Pattern.matches(".* $", line)) { // (checking if the String line contains any amount of any characters, followed by a space followed by the end of a line) + + if (Pattern.matches(".* $", line)) { // checking if the line ends in four spaces using a regular expression + message = message.concat("11"); // concatenating "11" onto the end of the message String (four spaces represents "11") + } + else if (Pattern.matches(".* $", line)) { // checking if the line ends in three spaces using a regular expression + message = message.concat("10"); // concatenating "10" onto the end of the message String (three spaces represents "10") + } + else if (Pattern.matches(".* $", line)) { // (checking if the String line contains any amount of any characters, followed by two spaces followed by the end of a line) + message = message.concat("01"); // concatenating a "1" onto the message String (two spaces represent a "1") + } + else { // essentially, this "else" means "if the line ends with one space but not two" + message = message.concat("00"); // concatenating a "0" onto the message String (one space represents a "0") + } + } + else { // if the String does not end in a space, then there is no (more) message to read + break; + } + + // reading the next line + line = reader.readLine(); + } + + // closing in the reader + reader.close(); + + // checking if the message String is empty so that an error message can be printed if no hidden message was found + if (message.equals("")) { + message = "Error: No hidden message found!"; + } + + // printing out the message + System.out.println(message); + } + // catching any IOExceptions + catch (IOException e) { + e.printStackTrace(); + } + } +} +\end{lstlisting} +\subsection{Output} +\includegraphics[width = 15cm]{output2.png} + +\end{document} diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/output1.png b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/output1.png new file mode 100644 index 00000000..44f647a2 Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/output1.png differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/output2.png b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/output2.png new file mode 100644 index 00000000..15d7e682 Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/output2.png differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/style/avm.sty b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/style/avm.sty new file mode 100644 index 00000000..a872483c --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/style/avm.sty @@ -0,0 +1,165 @@ +% avm.sty -- for attribute-value matrices -- mar 29, 1992; rev. dec 6, 1993 +% (c) 1992 christopher manning (manning@csli.stanford.edu) -- see avm.doc.tex + +\newif\ifavmactive\newif\ifavmsorted\newif\ifavmlabeled +\newif\ifavmcenter\newif\ifavmbottom +\newif\ifavmbottomright\newif\ifavmtopleft\newif\ifavmtopright + +\newdimen\avmdimen +\newbox\avmboxone\newbox\avmboxthree + +\def\avmoptions#1{\avmactivefalse\avmsortedfalse\avmlabeledfalse + \avmcenterfalse\avmbottomfalse + \avmbottomrightfalse\avmtopleftfalse\avmtoprightfalse + \def\more{#1}\ifx\more\empty\else\avmjoptions#1,\@nil\fi} +\def\avmjoptions#1,#2\@nil{\def\more{#2}\csname avm#1true\endcsname + \ifx\more\empty\else\avmjoptions#2\@nil\fi} + + +\def\avmfont#1{\def\avmjfont{#1}} +\def\avmjfont{} + +\def\avmvalfont#1{\def\avmjvalfont{#1}} +\def\avmjvalfont{} + +\def\avmsortfont#1{\def\avmjsortfont{#1}} +\def\avmjsortfont{} + +\def\avmhskip#1{\def\avmjhskip{#1}} +\def\avmjhskip{1em} + +\def\avmbskip#1{\def\avmjbskip{#1}} +\def\avmjbskip{0em} + +\def\avmvskip#1{\def\avmjvskip{#1}} +\def\avmjvskip{0.385ex}%was .3875 + + +\def\avmjprolog#1{$\mskip-\thinmuskip + \left#1\hskip\avmjbskip\vcenter\bgroup\vskip\avmjvskip + \ialign\bgroup\avmjfont + \strut ##\unskip\hfil + &&\hskip\avmjhskip\avmjvalfont ##\unskip\hfil\cr} +\def\avmjpostlog#1{\crcr\egroup\vskip\avmjvskip\egroup + \hskip\avmjbskip\right#1\mskip-\thinmuskip$\ignorespaces} + + +\def\avmjcatcode{\let\lparen=(\let\rparen=)\catcode`\[=13\catcode`\]=13 + \catcode`\<=13\catcode`\@=13\catcode`\(=13\catcode`\)=13 + \catcode`\>=13\catcode`\|=13} + +{\avmjcatcode % new group: redefine above catcodes as active + +\gdef\specialavm{\avmjcatcode +\def({\avmjprolog\lparen}% +\def){\avmjpostlog\rparen}% +\def<{\avmjprolog\langle}% +\def>{\avmjpostlog\rangle}% +\ifavmsorted +\def[##1{\setbox\avmboxthree=\hbox{\avmjsortfont##1\/}\setbox2=\hbox + \bgroup\avmjprolog\lbrack}% +\def]{\avmjpostlog\rbrack\egroup\avmjsort}% +\else\ifavmlabeled +\def[##1{\def\more{##1}\setbox2=\hbox\bgroup\avmjprolog[}% +\def]{\avmjpostlog]\egroup\node{\more}{\box2}}% +\else +\def[{\avmjprolog\lbrack}% +\def]{\avmjpostlog\rbrack}% +\fi\fi +% +\def\<{$\langle$}\def\>{$\rangle$}% +\def\({\lparen}\def\){\rparen}% +\def\[{\lbrack}\def\]{\rbrack}% +\def|{$\,\vert\,$}% +\def@##1{\avmbox{##1}}% +} % end defn of \specialavm +} % restore active catcodes + + +\long\def\avm{\begingroup +\ifavmactive\specialavm +\else +\def\({\avmjprolog(}% +\def\){\avmjpostlog)}% +\def\<{\avmjprolog\langle}% +\def\>{\avmjpostlog\rangle}% +% +\ifavmsorted +\def\[##1{\setbox\avmboxthree=\hbox{\avmjsortfont##1\/}\setbox + 2=\hbox\bgroup\avmjprolog[}% +\def\]{\avmjpostlog]\egroup\avmjsort}% +\else\ifavmlabeled +\def\[##1{\def\more{##1}\setbox2=\hbox\bgroup\avmjprolog[}% +\def\]{\avmjpostlog]\egroup\node{\more}{\box2}}% +\else +\def\[{\avmjprolog[}% +\def\]{\avmjpostlog]}% +\fi\fi +% +\def\|{$\,\vert\,$}% +\def\@##1{\avmbox{##1}}% +\fi % end not active +% +\ifx\LaTeX\undefined\def\\{\cr}% running under TeX +\else \def\\{\@tabularcr}% Leverage off LaTeX's \\*[dimen] options +\fi +\def\!{\node}% +\long\def\avmjsort{\dimen2=\ht2\advance\dimen2 by -.25\baselineskip + \global\dimen\avmdimen=\wd\avmboxthree + \ifavmtopleft \raise\dimen2\llap{\box\avmboxthree}\box2% + \else\ifavmtopright \box2\raise\dimen2\box\avmboxthree% + \else\ifavmbottomright \box2\lower\dimen2\box\avmboxthree% + \else \lower\dimen2\llap{\box\avmboxthree}\box2% + \fi\fi\fi}% +\long\def\sort##1##2{\setbox2=\hbox{##2}\setbox + \avmboxthree=\hbox{\avmjsortfont##1\/}\dimen2=\ht2 + \advance\dimen2 by -.25\baselineskip + \ifavmtopleft \raise\dimen2\box\avmboxthree\box2% + \else\ifavmtopright \box2\raise\dimen2\box\avmboxthree% + \else\ifavmbottomright \box2\lower\dimen2\box\avmboxthree% + \else \lower\dimen2\box\avmboxthree\box2% + \fi\fi\fi}% +\long\def\osort##1##2{\setbox2=\hbox{##2}\setbox + \avmboxthree=\hbox{\avmjsortfont ##1\/}\avmjsort}% +\def\avml{\avmjprolog.}% +\def\avmr{\avmjpostlog.}% +\def\avmb##1{\node{##1}{\lbrack\;\rbrack}}% +\def\avmd##1{\node{##1}{---}}% +\def\q##1{\ifx ##1\{$\lbrace$\else + \ifx ##1\}$\rbrace$\else + \ifx ##1<$\langle$\else + \ifx ##1>$\rangle$\fi \fi \fi \fi}% +\def\{{\avmjprolog\lbrace}% +\def\}{\avmjpostlog\rbrace}% +\def\;{\hskip\avmjhskip}% +\def\avmspan##1{\multispan2\strut ##1\expandafter\hfil}% +\avmjfont +\openup\avmjvskip +\setbox\avmboxone=\hbox\bgroup\ignorespaces +} % end defn of \avm + + +\def\endavm{\egroup\ifvmode\leavevmode\fi % this if is useful! + \ifavmsorted\null\hskip\dimen\avmdimen\fi + \ifavmcenter + \box\avmboxone + \else \ifavmbottom + \lower.575\baselineskip\hbox{\vbox{\box\avmboxone\null}}% + \else +% the next bit is ripped off from Emma's \evnup in lingmacros.sty + \dimen2=\ht\avmboxone\advance\dimen2 by -.725\baselineskip + \lower\dimen2\box\avmboxone +\fi \fi \endgroup} + + +% based on TeXbook exercise 21.3 +\def\avmbox#1{\setbox2=\hbox{$\scriptstyle #1$}\lower.2ex\vbox{\hrule + \hbox{\vrule\kern1.25pt + \vbox{\kern1.25pt\box2\kern1.25pt}\kern1.25pt\vrule}\hrule}} + +% ============ COSTOM CONFIGURATION ============= +\avmfont{\sc} +\avmoptions{sorted,active} +\avmvalfont{\rm} +\avmsortfont{\scriptsize\it} +% =============================================== \ No newline at end of file diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/style/btree.sty b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/style/btree.sty new file mode 100644 index 00000000..edec4533 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/style/btree.sty @@ -0,0 +1,131 @@ +%% Last Modified: Thu Oct 18 18:26:25 2007. + +\NeedsTeXFormat{LaTeX2e} +\ProvidesPackage{style/btree} +\typeout{Document Style `weiw_BTree - Support drawing B+-Tree (ver 0.999)} + +\RequirePackage{tikz} +\RequirePackage{ifthen} + +% use libraries +\usetikzlibrary{arrows,shapes,decorations,matrix} + + +%% global declaration +\tikzstyle{btreeptr} = [draw, semithick, minimum height=2em] +\tikzstyle{btreeval} = [draw, semithick, minimum size=2em] +\tikzstyle{btreevale} = [draw,semithick, minimum size=2em] +\tikzstyle{btlink} = [draw, semithick, ->, >=triangle 45] + +%% macro +%% helper macros +\newcommand{\suppressemptystr}[1]{% leave blank for entries in leaf nodes + \ifthenelse{\equal{#1}{}}% + {% + \relax% + }% + % Else + {% + #1\textsuperscript{*}% + }% +}% + +\newcommand{\xyshift}[3]{% help to place the nodes + \begin{scope}[xshift=#1, yshift=#2] + #3 + \end{scope}% +} + +%% Common btree macros +\newcommand{\btreelink}[2]{% #1: src node; #2: dest node; + \draw[btlink] ([yshift=3pt] #1.south) -- (#2-b.north); +} + +\newcommand{\btreelinknorth}[2]{% #1: src node; #2: dest node; + \draw[btlink] ([yshift=3pt] #1.south) -- (#2.north); +} + +\newcommand{\btreetriangle}[2]{% #1: node name; #2 text inside + \node[anchor=north, regular polygon, regular polygon sides=3, draw] (#1) {#2}; +} + +%%====================================================================== +%% btree with capacity = 4 +\newcommand{\btreeinodefour}[5]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \& \node[btreeval] (#1-c) {#4}; \& + \node[btreeptr] (#1-4) {\vphantom{1}}; \& \node[btreeval] (#1-d) {#5}; \& + \node[btreeptr] (#1-5) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodefour}[5]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \& + \node[btreevale] (#1-c) {\suppressemptystr{#4}}; \& + \node[btreevale] (#1-d) {\suppressemptystr{#5}}; \\ + }; +} + +%%====================================================================== +%% btree with capacity = 3 +\newcommand{\btreeinodethree}[4]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \& \node[btreeval] (#1-c) {#4}; \& + \node[btreeptr] (#1-4) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodethree}[4]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \& + \node[btreevale] (#1-c) {\suppressemptystr{#4}}; \\ + }; +} + +%%====================================================================== +%% btree with capacity = 2 +\newcommand{\btreeinodetwo}[4]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodetwo}[3]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \\ + }; +} +%%====================================================================== + + + + +%% simple example +% \begin{center} +% \scalebox{0.7}{ +% \begin{tikzpicture} +% % +% \btreeinodefour{root}{13}{17}{24}{30}; +% \xyshift{-40mm}{-20mm}{\btreelnodefour{n1}{2}{3}{5}{7}} +% \xyshift{-0mm}{-20mm}{\btreelnodefour{n2}{14}{16}{}{}} +% \xyshift{40mm}{-20mm}{\btreelnodefour{n3}{19}{20}{22}{}} +% \xyshift{80mm}{-20mm}{\btreelnodefour{n4}{24}{27}{29}{}} +% \xyshift{120mm}{-20mm}{\btreelnodefour{n5}{33}{34}{38}{39}} +% % +% \foreach \x in {1,2,...,5} { \btreelink{root-\x}{n\x} } +% \end{tikzpicture} +% } +% \end{center} \ No newline at end of file diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/style/image.png b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/style/image.png new file mode 100644 index 00000000..a76881b5 Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/style/image.png differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/style/lstlisting.sty b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/style/lstlisting.sty new file mode 100644 index 00000000..3d6ba743 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-3/latex/style/lstlisting.sty @@ -0,0 +1,38 @@ +% Source: ss17_wissschreib (Eva) + +\lstset{ + basicstyle=\ttfamily\scriptsize\mdseries, + keywordstyle=\bfseries\color[rgb]{0.171875, 0.242188, 0.3125}, + identifierstyle=, + commentstyle=\color[rgb]{0.257813, 0.15625, 0}, + stringstyle=\itshape\color[rgb]{0.0195313, 0.195313, 0.0117188}, + numbers=left, + numberstyle=\tiny, + stepnumber=1, + breaklines=true, + frame=none, + showstringspaces=false, + tabsize=4, + backgroundcolor=\color[rgb]{0.98,0.98,0.98}, + captionpos=b, + float=htbp, + language=Python, + xleftmargin=15pt, + xrightmargin=15pt +} + +%(deutsche) Sonderzeichen +\lstset{literate=% + {Ä}{{\"A}}1 + {Ö}{{\"O}}1 + {Ü}{{\"U}}1 + {ä}{{\"a}}1 + {ö}{{\"o}}1 + {ü}{{\"u}}1 + {ß}{{\ss}}1 +} + +%Verwendung im Text: +%-> \begin{lstlisting}[language=Python,firstnumber=27] ... \end{lstlisting} +%-> \begin{lstlisting}[language=Python,numbers=none] ... \end{lstlisting} +%-> \lstinline[language=JAVA]{...} \ No newline at end of file diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/ogStegano1.java b/second/semester1/CT255/Assessment/CT255-Assignment-3/ogStegano1.java new file mode 100644 index 00000000..1af07e4a --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-3/ogStegano1.java @@ -0,0 +1,116 @@ + +/** + * CT255 - Assignment 3 + * Skeleton code for Steganography assignment. + * + * @author Michael Schukat + * @version 1.0 + */ + +import java.io.BufferedReader; +import java.io.BufferedWriter; +import java.io.FileReader; +import java.io.FileWriter; +import java.io.IOException; + +public class Stegano1 +{ + /** + * Constructor for objects of class Stegano1 + */ + public Stegano1() + { + } + + public static void main(String[] args) { + String arg1, arg2, arg3, arg4; + Boolean err = false; + + if (args != null && args.length > 1) { // Check for minimum number of arguments + arg1 = args[0]; + arg2 = args[1]; + + if (arg2 == "") { + err = true; + } + else if ((arg1 == "A") && (args.length > 3)){ + // Get other arguments + arg3 = args[2]; + arg4 = args[3]; + if (arg3 == "" || arg4 == "") { + err = true; + } + else { + // Hide bitstring + hide(arg2, arg3, arg4); + } + } + else if (arg1 == "E"){ + // Extract bitstring from text + retrieve(arg2); + } + else { + err = true; + } + } + else { + err = true; + } + + if (err == true) { + System.out.println(); + System.out.println("Use: Stegano1 "); + System.out.println("Example: Stegano1 A inp.txt out.txt 0010101"); + System.out.println("Example: Stegano1 E inp.txt"); + + } + } + + static void hide(String inpFile, String outFile, String binString) { + // + BufferedReader reader; + BufferedWriter writer; + + try { + reader = new BufferedReader(new FileReader(inpFile)); + writer = new BufferedWriter(new FileWriter(outFile)); + String line = reader.readLine(); + while (line != null) { + // Your code starts here + + + // Store amended line in output file + writer.write(line); + writer.newLine(); + // read next line + line = reader.readLine(); + } + reader.close(); + writer.close(); + } catch (IOException e) { + e.printStackTrace(); + } + + } + + static void retrieve(String inpFile) { + BufferedReader reader; + + try { + reader = new BufferedReader(new FileReader(inpFile)); + String line = reader.readLine(); + while (line != null) { + // Your code starts here + + // System.out.println(line); + + // read next line + line = reader.readLine(); + } + reader.close(); + } catch (IOException e) { + e.printStackTrace(); + } + + } +} diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/output.txt b/second/semester1/CT255/Assessment/CT255-Assignment-3/output.txt new file mode 100644 index 00000000..d083c9a1 --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-3/output.txt @@ -0,0 +1,57 @@ +The Stolen Child +Where dips the rocky highland +Of Sleuth Wood in the lake, +There lies a leafy island +Where flapping herons wake +The drowsy water rats; +There we've hid our faery vats, +Full of berrys +And of reddest stolen cherries. +Come away, O human child! +To the waters and the wild +With a faery, hand in hand, +For the world's more full of weeping than you can understand. + +Where the wave of moonlight glosses +The dim gray sands with light, +Far off by furthest Rosses +We foot it all the night, +Weaving olden dances +Mingling hands and mingling glances +Till the moon has taken flight; +To and fro we leap +And chase the frothy bubbles, +While the world is full of troubles +And anxious in its sleep. +Come away, O human child! +To the waters and the wild +With a faery, hand in hand, +For the world's more full of weeping than you can understand. + +Where the wandering water gushes +From the hills above Glen-Car, +In pools among the rushes +That scarce could bathe a star, +We seek for slumbering trout +And whispering in their ears +Give them unquiet dreams; +Leaning softly out +From ferns that drop their tears +Over the young streams. +Come away, O human child! +To the waters and the wild +With a faery, hand in hand, +For the world's more full of weeping than you can understand. + +Away with us he's going, +The solemn-eyed: +He'll hear no more the lowing +Of the calves on the warm hillside +Or the kettle on the hob +Sing peace into his breast, +Or see the brown mice bob +Round and round the oatmeal chest. +For he comes, the human child, +To the waters and the wild +With a faery, hand in hand, +For the world's more full of weeping than he can understand. diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-3/wby1.txt b/second/semester1/CT255/Assessment/CT255-Assignment-3/wby1.txt new file mode 100644 index 00000000..548d75ce --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-3/wby1.txt @@ -0,0 +1,57 @@ +The Stolen Child +Where dips the rocky highland +Of Sleuth Wood in the lake, +There lies a leafy island +Where flapping herons wake +The drowsy water rats; +There we've hid our faery vats, +Full of berrys +And of reddest stolen cherries. +Come away, O human child! +To the waters and the wild +With a faery, hand in hand, +For the world's more full of weeping than you can understand. + +Where the wave of moonlight glosses +The dim gray sands with light, +Far off by furthest Rosses +We foot it all the night, +Weaving olden dances +Mingling hands and mingling glances +Till the moon has taken flight; +To and fro we leap +And chase the frothy bubbles, +While the world is full of troubles +And anxious in its sleep. +Come away, O human child! +To the waters and the wild +With a faery, hand in hand, +For the world's more full of weeping than you can understand. + +Where the wandering water gushes +From the hills above Glen-Car, +In pools among the rushes +That scarce could bathe a star, +We seek for slumbering trout +And whispering in their ears +Give them unquiet dreams; +Leaning softly out +From ferns that drop their tears +Over the young streams. +Come away, O human child! +To the waters and the wild +With a faery, hand in hand, +For the world's more full of weeping than you can understand. + +Away with us he's going, +The solemn-eyed: +He'll hear no more the lowing +Of the calves on the warm hillside +Or the kettle on the hob +Sing peace into his breast, +Or see the brown mice bob +Round and round the oatmeal chest. +For he comes, the human child, +To the waters and the wild +With a faery, hand in hand, +For the world's more full of weeping than he can understand. \ No newline at end of file diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-4/CT255 Assignment 4.pdf b/second/semester1/CT255/Assessment/CT255-Assignment-4/CT255 Assignment 4.pdf new file mode 100644 index 00000000..6faf7cf9 Binary files /dev/null and b/second/semester1/CT255/Assessment/CT255-Assignment-4/CT255 Assignment 4.pdf differ diff --git a/second/semester1/CT255/Assessment/CT255-Assignment-4/DiffieHellman.java b/second/semester1/CT255/Assessment/CT255-Assignment-4/DiffieHellman.java new file mode 100644 index 00000000..6f7ab92f --- /dev/null +++ b/second/semester1/CT255/Assessment/CT255-Assignment-4/DiffieHellman.java @@ -0,0 +1,91 @@ +import java.util.ArrayList; + +public class DiffieHellman { + + public static void main(String[] args) { + generate_params(); + } + + // method to generate the random DH parameters + public static void generate_params() { + int prime = generate_prime(); // generating a prime number + System.out.println("prime: " + prime); + int primitive_root = generate_primitive_root(prime); // generating a primitive root of that prime + System.out.println("prime: " + prime + ". primtive root : " + primitive_root); + } + + // method to generate a prime number in the range 10000 - 100000 + public static int generate_prime() { + // generating an ArrayList of prime numbers in the range 10,000 to 100,000 using the Sieve of Eratosthenes + // creating a list of consecutive integers from 2 through 100,000 + ArrayList integers = new ArrayList(); + + for (int n = 2; n <= 100000; n++) { + integers.add(n); + } + + // initially, let p equal 2, the smallest prime number in the list. + int p = integers.get(0); + + // variable to hold the number of known primes in the ArrayList + int primes_count = 1; + + // looping while p is less than the final value in the list + while (p < integers.get(integers.size() - 1)) { + // removing the mutliples of p from the list + for (int i = 2; (i * p) <= integers.get(integers.size() - 1); i++) { + integers.remove(Integer.valueOf(i * p)); + } + + // let p equal the new smallest element in the ArrayList + p = integers.get(primes_count++); + } + + // cutting out the section of the ArrayList that contains prime number outside the appropriate range + while (integers.get(0) < 10000) { // removing the first element of the ArrayList while the first index of the ArrayList holds a value less than 10,000 + integers.remove(0); + } + + // selecting the element at a random index in the ArrayList of primes as our prime number + int prime = integers.get((int) (Math.random() * (integers.size() - 1))); + + return prime; + } + + public static int generate_primitive_root(int prime) { + // ArrayList primitive_roots = new ArrayList(); // ArrayList to hold the primitive roots found + + // looping through all the numbers in the range 2 to the prime minus 1 to see if they're primitive roots of the prime, breaking when we find the first primitive root + for (int n = 3; n < prime - 1; n++) { + boolean is_n_a_primtive_root = true; // boolean to tell whether or not n is a primtive root + ArrayList distinct_values = new ArrayList(); // ArrayList to hold the distinct values of a candidate primitive root modulo the prime + + // loop to check if n is a primitive root by raising it to the power of x modulo the prime + for (int x = 2; x < prime - 2; x++) { + + // setting is_n_a_primtive_root to false and breaking out of the loop if n to the power of x modulo the prime is already in the distinct_values ArrayList + if (distinct_values.contains((n^x) % prime)) { + is_n_a_primtive_root = false; + System.out.println(n + " is not a primitive root"); + break; + } + else { + distinct_values.add((n^x) % prime); + } + } + // adding n to the list of primitive roots if it is a primitive root of the prime passed to the function + if (is_n_a_primtive_root) { + // primitive_roots.add(n); + return n; + } + } + + // selecting a random value in the list of primitive roots to be our primtitive root + // int random_primitive_root = primitive_roots.get((int) (Math.random() * (primitive_roots.size() - 1))); + // int random_primitive_root = -1; + // return random_primitive_root; + // + // returning -1 if no primitive root found + return -1; + } +} diff --git a/second/semester1/CT255/CT255-Slides.pdf b/second/semester1/CT255/CT255-Slides.pdf new file mode 100644 index 00000000..295d9af6 Binary files /dev/null and b/second/semester1/CT255/CT255-Slides.pdf differ diff --git a/second/semester1/CT255/tmpdbmt7myg_ct255_05.pdf b/second/semester1/CT255/tmpdbmt7myg_ct255_05.pdf new file mode 100644 index 00000000..39c3f0be Binary files /dev/null and b/second/semester1/CT255/tmpdbmt7myg_ct255_05.pdf differ diff --git a/second/semester1/MA284/MA284-Slides.pdf b/second/semester1/MA284/MA284-Slides.pdf new file mode 100644 index 00000000..e41b6611 Binary files /dev/null and b/second/semester1/MA284/MA284-Slides.pdf differ diff --git a/second/semester1/ST2001/Assignments/.Rhistory b/second/semester1/ST2001/Assignments/.Rhistory new file mode 100644 index 00000000..e69de29b diff --git a/second/semester1/ST2001/Assignments/Example Report Template.Rmd b/second/semester1/ST2001/Assignments/Example Report Template.Rmd new file mode 100644 index 00000000..a53221d0 --- /dev/null +++ b/second/semester1/ST2001/Assignments/Example Report Template.Rmd @@ -0,0 +1,78 @@ +--- +title: "Assignment 2" +author: "Andrew Hayes, id = 21321503" +date: "`r format(Sys.time(), '%d %B, %Y')`" +output: + word_document: default + pdf_document: default +--- + +## Starting with R-Markdown + +In the following R-Markdown document some data are created followed by calculation of some summary statistics and display of graphical summaries. All the results are embedded for you in the report when you `knit` the document into a report. + +The following `R` chunk creates a dataset in a vector and stores it in `R`'s memory using the name `x`. You will have been given some directions in how to adapt this dataset on Blackboard. + +```{r} + +x = c(10, 23, 14, 12, 34, 26, 28, 24) + +``` + +The mean of this data is + +```{r} + +mean(x) + +``` + +The summary statistics (minimum, maximum, $Q_1$, median, mean and $Q_3$) obtained from the `summary()` function are: + +```{r} +# Insert your code here +summary(x) + + + +``` + +The five number summary which uses Tukey's method to estimate the lower and upper quartiles ($Q_1$ and $Q_3$) is given below. Notice the small differences in these quartiles. + +```{r} +# Insert your code here +fivenum(x) + + + +``` + +The boxplot of the data below also uses Tukey's method. I would describe the shape of the distribution using the boxplot as right-skewed, as the tail on the right is significantly longer than the tail on the left. However, the median is offset to the right of the box, which would normally indicate a left-skew. One possible reason for this inconsistency is the small size of the dataset used for this boxplot, as boxplots are not very accurate for small data sets. + +```{r} + +boxplot(x) + +``` + +A histogram is given below. I would describe the shape of the distribution using the histogram as right-skewed, as it peaks on the left, and decreases as it goes to the right. +```{r} +hist(x) +``` + + + + + + + + + +Use the help system in `R` to learn how to use the `breaks` argument in the `hist` function to include around 10 breakpoints. To use the help system type `help(hist)` +```{r} +hist(x, breaks = 10) +``` + + + + diff --git a/second/semester1/ST2001/Assignments/Example-Report-Template.docx b/second/semester1/ST2001/Assignments/Example-Report-Template.docx new file mode 100644 index 00000000..81ba800c Binary files /dev/null and b/second/semester1/ST2001/Assignments/Example-Report-Template.docx differ diff --git a/second/semester1/ST2001/Assignments/Example-Report-Template.pdf b/second/semester1/ST2001/Assignments/Example-Report-Template.pdf new file mode 100644 index 00000000..b2147fb3 Binary files /dev/null and b/second/semester1/ST2001/Assignments/Example-Report-Template.pdf differ diff --git a/second/semester1/ST2001/Assignments/certificate.pdf b/second/semester1/ST2001/Assignments/certificate.pdf new file mode 100644 index 00000000..4915b72c Binary files /dev/null and b/second/semester1/ST2001/Assignments/certificate.pdf differ diff --git a/second/semester1/ST2001/Assignments/gapminder.csv b/second/semester1/ST2001/Assignments/gapminder.csv new file mode 100644 index 00000000..810c4362 --- /dev/null +++ b/second/semester1/ST2001/Assignments/gapminder.csv @@ -0,0 +1,1705 @@ +"country","continent","year","lifeExp","pop","gdpPercap" +"Afghanistan","Asia",1952,28.801,8425333,779.4453145 +"Afghanistan","Asia",1957,30.332,9240934,820.8530296 +"Afghanistan","Asia",1962,31.997,10267083,853.10071 +"Afghanistan","Asia",1967,34.02,11537966,836.1971382 +"Afghanistan","Asia",1972,36.088,13079460,739.9811058 +"Afghanistan","Asia",1977,38.438,14880372,786.11336 +"Afghanistan","Asia",1982,39.854,12881816,978.0114388 +"Afghanistan","Asia",1987,40.822,13867957,852.3959448 +"Afghanistan","Asia",1992,41.674,16317921,649.3413952 +"Afghanistan","Asia",1997,41.763,22227415,635.341351 +"Afghanistan","Asia",2002,42.129,25268405,726.7340548 +"Afghanistan","Asia",2007,43.828,31889923,974.5803384 +"Albania","Europe",1952,55.23,1282697,1601.056136 +"Albania","Europe",1957,59.28,1476505,1942.284244 +"Albania","Europe",1962,64.82,1728137,2312.888958 +"Albania","Europe",1967,66.22,1984060,2760.196931 +"Albania","Europe",1972,67.69,2263554,3313.422188 +"Albania","Europe",1977,68.93,2509048,3533.00391 +"Albania","Europe",1982,70.42,2780097,3630.880722 +"Albania","Europe",1987,72,3075321,3738.932735 +"Albania","Europe",1992,71.581,3326498,2497.437901 +"Albania","Europe",1997,72.95,3428038,3193.054604 +"Albania","Europe",2002,75.651,3508512,4604.211737 +"Albania","Europe",2007,76.423,3600523,5937.029526 +"Algeria","Africa",1952,43.077,9279525,2449.008185 +"Algeria","Africa",1957,45.685,10270856,3013.976023 +"Algeria","Africa",1962,48.303,11000948,2550.81688 +"Algeria","Africa",1967,51.407,12760499,3246.991771 +"Algeria","Africa",1972,54.518,14760787,4182.663766 +"Algeria","Africa",1977,58.014,17152804,4910.416756 +"Algeria","Africa",1982,61.368,20033753,5745.160213 +"Algeria","Africa",1987,65.799,23254956,5681.358539 +"Algeria","Africa",1992,67.744,26298373,5023.216647 +"Algeria","Africa",1997,69.152,29072015,4797.295051 +"Algeria","Africa",2002,70.994,31287142,5288.040382 +"Algeria","Africa",2007,72.301,33333216,6223.367465 +"Angola","Africa",1952,30.015,4232095,3520.610273 +"Angola","Africa",1957,31.999,4561361,3827.940465 +"Angola","Africa",1962,34,4826015,4269.276742 +"Angola","Africa",1967,35.985,5247469,5522.776375 +"Angola","Africa",1972,37.928,5894858,5473.288005 +"Angola","Africa",1977,39.483,6162675,3008.647355 +"Angola","Africa",1982,39.942,7016384,2756.953672 +"Angola","Africa",1987,39.906,7874230,2430.208311 +"Angola","Africa",1992,40.647,8735988,2627.845685 +"Angola","Africa",1997,40.963,9875024,2277.140884 +"Angola","Africa",2002,41.003,10866106,2773.287312 +"Angola","Africa",2007,42.731,12420476,4797.231267 +"Argentina","Americas",1952,62.485,17876956,5911.315053 +"Argentina","Americas",1957,64.399,19610538,6856.856212 +"Argentina","Americas",1962,65.142,21283783,7133.166023 +"Argentina","Americas",1967,65.634,22934225,8052.953021 +"Argentina","Americas",1972,67.065,24779799,9443.038526 +"Argentina","Americas",1977,68.481,26983828,10079.02674 +"Argentina","Americas",1982,69.942,29341374,8997.897412 +"Argentina","Americas",1987,70.774,31620918,9139.671389 +"Argentina","Americas",1992,71.868,33958947,9308.41871 +"Argentina","Americas",1997,73.275,36203463,10967.28195 +"Argentina","Americas",2002,74.34,38331121,8797.640716 +"Argentina","Americas",2007,75.32,40301927,12779.37964 +"Australia","Oceania",1952,69.12,8691212,10039.59564 +"Australia","Oceania",1957,70.33,9712569,10949.64959 +"Australia","Oceania",1962,70.93,10794968,12217.22686 +"Australia","Oceania",1967,71.1,11872264,14526.12465 +"Australia","Oceania",1972,71.93,13177000,16788.62948 +"Australia","Oceania",1977,73.49,14074100,18334.19751 +"Australia","Oceania",1982,74.74,15184200,19477.00928 +"Australia","Oceania",1987,76.32,16257249,21888.88903 +"Australia","Oceania",1992,77.56,17481977,23424.76683 +"Australia","Oceania",1997,78.83,18565243,26997.93657 +"Australia","Oceania",2002,80.37,19546792,30687.75473 +"Australia","Oceania",2007,81.235,20434176,34435.36744 +"Austria","Europe",1952,66.8,6927772,6137.076492 +"Austria","Europe",1957,67.48,6965860,8842.59803 +"Austria","Europe",1962,69.54,7129864,10750.72111 +"Austria","Europe",1967,70.14,7376998,12834.6024 +"Austria","Europe",1972,70.63,7544201,16661.6256 +"Austria","Europe",1977,72.17,7568430,19749.4223 +"Austria","Europe",1982,73.18,7574613,21597.08362 +"Austria","Europe",1987,74.94,7578903,23687.82607 +"Austria","Europe",1992,76.04,7914969,27042.01868 +"Austria","Europe",1997,77.51,8069876,29095.92066 +"Austria","Europe",2002,78.98,8148312,32417.60769 +"Austria","Europe",2007,79.829,8199783,36126.4927 +"Bahrain","Asia",1952,50.939,120447,9867.084765 +"Bahrain","Asia",1957,53.832,138655,11635.79945 +"Bahrain","Asia",1962,56.923,171863,12753.27514 +"Bahrain","Asia",1967,59.923,202182,14804.6727 +"Bahrain","Asia",1972,63.3,230800,18268.65839 +"Bahrain","Asia",1977,65.593,297410,19340.10196 +"Bahrain","Asia",1982,69.052,377967,19211.14731 +"Bahrain","Asia",1987,70.75,454612,18524.02406 +"Bahrain","Asia",1992,72.601,529491,19035.57917 +"Bahrain","Asia",1997,73.925,598561,20292.01679 +"Bahrain","Asia",2002,74.795,656397,23403.55927 +"Bahrain","Asia",2007,75.635,708573,29796.04834 +"Bangladesh","Asia",1952,37.484,46886859,684.2441716 +"Bangladesh","Asia",1957,39.348,51365468,661.6374577 +"Bangladesh","Asia",1962,41.216,56839289,686.3415538 +"Bangladesh","Asia",1967,43.453,62821884,721.1860862 +"Bangladesh","Asia",1972,45.252,70759295,630.2336265 +"Bangladesh","Asia",1977,46.923,80428306,659.8772322 +"Bangladesh","Asia",1982,50.009,93074406,676.9818656 +"Bangladesh","Asia",1987,52.819,103764241,751.9794035 +"Bangladesh","Asia",1992,56.018,113704579,837.8101643 +"Bangladesh","Asia",1997,59.412,123315288,972.7700352 +"Bangladesh","Asia",2002,62.013,135656790,1136.39043 +"Bangladesh","Asia",2007,64.062,150448339,1391.253792 +"Belgium","Europe",1952,68,8730405,8343.105127 +"Belgium","Europe",1957,69.24,8989111,9714.960623 +"Belgium","Europe",1962,70.25,9218400,10991.20676 +"Belgium","Europe",1967,70.94,9556500,13149.04119 +"Belgium","Europe",1972,71.44,9709100,16672.14356 +"Belgium","Europe",1977,72.8,9821800,19117.97448 +"Belgium","Europe",1982,73.93,9856303,20979.84589 +"Belgium","Europe",1987,75.35,9870200,22525.56308 +"Belgium","Europe",1992,76.46,10045622,25575.57069 +"Belgium","Europe",1997,77.53,10199787,27561.19663 +"Belgium","Europe",2002,78.32,10311970,30485.88375 +"Belgium","Europe",2007,79.441,10392226,33692.60508 +"Benin","Africa",1952,38.223,1738315,1062.7522 +"Benin","Africa",1957,40.358,1925173,959.6010805 +"Benin","Africa",1962,42.618,2151895,949.4990641 +"Benin","Africa",1967,44.885,2427334,1035.831411 +"Benin","Africa",1972,47.014,2761407,1085.796879 +"Benin","Africa",1977,49.19,3168267,1029.161251 +"Benin","Africa",1982,50.904,3641603,1277.897616 +"Benin","Africa",1987,52.337,4243788,1225.85601 +"Benin","Africa",1992,53.919,4981671,1191.207681 +"Benin","Africa",1997,54.777,6066080,1232.975292 +"Benin","Africa",2002,54.406,7026113,1372.877931 +"Benin","Africa",2007,56.728,8078314,1441.284873 +"Bolivia","Americas",1952,40.414,2883315,2677.326347 +"Bolivia","Americas",1957,41.89,3211738,2127.686326 +"Bolivia","Americas",1962,43.428,3593918,2180.972546 +"Bolivia","Americas",1967,45.032,4040665,2586.886053 +"Bolivia","Americas",1972,46.714,4565872,2980.331339 +"Bolivia","Americas",1977,50.023,5079716,3548.097832 +"Bolivia","Americas",1982,53.859,5642224,3156.510452 +"Bolivia","Americas",1987,57.251,6156369,2753.69149 +"Bolivia","Americas",1992,59.957,6893451,2961.699694 +"Bolivia","Americas",1997,62.05,7693188,3326.143191 +"Bolivia","Americas",2002,63.883,8445134,3413.26269 +"Bolivia","Americas",2007,65.554,9119152,3822.137084 +"Bosnia and Herzegovina","Europe",1952,53.82,2791000,973.5331948 +"Bosnia and Herzegovina","Europe",1957,58.45,3076000,1353.989176 +"Bosnia and Herzegovina","Europe",1962,61.93,3349000,1709.683679 +"Bosnia and Herzegovina","Europe",1967,64.79,3585000,2172.352423 +"Bosnia and Herzegovina","Europe",1972,67.45,3819000,2860.16975 +"Bosnia and Herzegovina","Europe",1977,69.86,4086000,3528.481305 +"Bosnia and Herzegovina","Europe",1982,70.69,4172693,4126.613157 +"Bosnia and Herzegovina","Europe",1987,71.14,4338977,4314.114757 +"Bosnia and Herzegovina","Europe",1992,72.178,4256013,2546.781445 +"Bosnia and Herzegovina","Europe",1997,73.244,3607000,4766.355904 +"Bosnia and Herzegovina","Europe",2002,74.09,4165416,6018.975239 +"Bosnia and Herzegovina","Europe",2007,74.852,4552198,7446.298803 +"Botswana","Africa",1952,47.622,442308,851.2411407 +"Botswana","Africa",1957,49.618,474639,918.2325349 +"Botswana","Africa",1962,51.52,512764,983.6539764 +"Botswana","Africa",1967,53.298,553541,1214.709294 +"Botswana","Africa",1972,56.024,619351,2263.611114 +"Botswana","Africa",1977,59.319,781472,3214.857818 +"Botswana","Africa",1982,61.484,970347,4551.14215 +"Botswana","Africa",1987,63.622,1151184,6205.88385 +"Botswana","Africa",1992,62.745,1342614,7954.111645 +"Botswana","Africa",1997,52.556,1536536,8647.142313 +"Botswana","Africa",2002,46.634,1630347,11003.60508 +"Botswana","Africa",2007,50.728,1639131,12569.85177 +"Brazil","Americas",1952,50.917,56602560,2108.944355 +"Brazil","Americas",1957,53.285,65551171,2487.365989 +"Brazil","Americas",1962,55.665,76039390,3336.585802 +"Brazil","Americas",1967,57.632,88049823,3429.864357 +"Brazil","Americas",1972,59.504,100840058,4985.711467 +"Brazil","Americas",1977,61.489,114313951,6660.118654 +"Brazil","Americas",1982,63.336,128962939,7030.835878 +"Brazil","Americas",1987,65.205,142938076,7807.095818 +"Brazil","Americas",1992,67.057,155975974,6950.283021 +"Brazil","Americas",1997,69.388,168546719,7957.980824 +"Brazil","Americas",2002,71.006,179914212,8131.212843 +"Brazil","Americas",2007,72.39,190010647,9065.800825 +"Bulgaria","Europe",1952,59.6,7274900,2444.286648 +"Bulgaria","Europe",1957,66.61,7651254,3008.670727 +"Bulgaria","Europe",1962,69.51,8012946,4254.337839 +"Bulgaria","Europe",1967,70.42,8310226,5577.0028 +"Bulgaria","Europe",1972,70.9,8576200,6597.494398 +"Bulgaria","Europe",1977,70.81,8797022,7612.240438 +"Bulgaria","Europe",1982,71.08,8892098,8224.191647 +"Bulgaria","Europe",1987,71.34,8971958,8239.854824 +"Bulgaria","Europe",1992,71.19,8658506,6302.623438 +"Bulgaria","Europe",1997,70.32,8066057,5970.38876 +"Bulgaria","Europe",2002,72.14,7661799,7696.777725 +"Bulgaria","Europe",2007,73.005,7322858,10680.79282 +"Burkina Faso","Africa",1952,31.975,4469979,543.2552413 +"Burkina Faso","Africa",1957,34.906,4713416,617.1834648 +"Burkina Faso","Africa",1962,37.814,4919632,722.5120206 +"Burkina Faso","Africa",1967,40.697,5127935,794.8265597 +"Burkina Faso","Africa",1972,43.591,5433886,854.7359763 +"Burkina Faso","Africa",1977,46.137,5889574,743.3870368 +"Burkina Faso","Africa",1982,48.122,6634596,807.1985855 +"Burkina Faso","Africa",1987,49.557,7586551,912.0631417 +"Burkina Faso","Africa",1992,50.26,8878303,931.7527731 +"Burkina Faso","Africa",1997,50.324,10352843,946.2949618 +"Burkina Faso","Africa",2002,50.65,12251209,1037.645221 +"Burkina Faso","Africa",2007,52.295,14326203,1217.032994 +"Burundi","Africa",1952,39.031,2445618,339.2964587 +"Burundi","Africa",1957,40.533,2667518,379.5646281 +"Burundi","Africa",1962,42.045,2961915,355.2032273 +"Burundi","Africa",1967,43.548,3330989,412.9775136 +"Burundi","Africa",1972,44.057,3529983,464.0995039 +"Burundi","Africa",1977,45.91,3834415,556.1032651 +"Burundi","Africa",1982,47.471,4580410,559.603231 +"Burundi","Africa",1987,48.211,5126023,621.8188189 +"Burundi","Africa",1992,44.736,5809236,631.6998778 +"Burundi","Africa",1997,45.326,6121610,463.1151478 +"Burundi","Africa",2002,47.36,7021078,446.4035126 +"Burundi","Africa",2007,49.58,8390505,430.0706916 +"Cambodia","Asia",1952,39.417,4693836,368.4692856 +"Cambodia","Asia",1957,41.366,5322536,434.0383364 +"Cambodia","Asia",1962,43.415,6083619,496.9136476 +"Cambodia","Asia",1967,45.415,6960067,523.4323142 +"Cambodia","Asia",1972,40.317,7450606,421.6240257 +"Cambodia","Asia",1977,31.22,6978607,524.9721832 +"Cambodia","Asia",1982,50.957,7272485,624.4754784 +"Cambodia","Asia",1987,53.914,8371791,683.8955732 +"Cambodia","Asia",1992,55.803,10150094,682.3031755 +"Cambodia","Asia",1997,56.534,11782962,734.28517 +"Cambodia","Asia",2002,56.752,12926707,896.2260153 +"Cambodia","Asia",2007,59.723,14131858,1713.778686 +"Cameroon","Africa",1952,38.523,5009067,1172.667655 +"Cameroon","Africa",1957,40.428,5359923,1313.048099 +"Cameroon","Africa",1962,42.643,5793633,1399.607441 +"Cameroon","Africa",1967,44.799,6335506,1508.453148 +"Cameroon","Africa",1972,47.049,7021028,1684.146528 +"Cameroon","Africa",1977,49.355,7959865,1783.432873 +"Cameroon","Africa",1982,52.961,9250831,2367.983282 +"Cameroon","Africa",1987,54.985,10780667,2602.664206 +"Cameroon","Africa",1992,54.314,12467171,1793.163278 +"Cameroon","Africa",1997,52.199,14195809,1694.337469 +"Cameroon","Africa",2002,49.856,15929988,1934.011449 +"Cameroon","Africa",2007,50.43,17696293,2042.09524 +"Canada","Americas",1952,68.75,14785584,11367.16112 +"Canada","Americas",1957,69.96,17010154,12489.95006 +"Canada","Americas",1962,71.3,18985849,13462.48555 +"Canada","Americas",1967,72.13,20819767,16076.58803 +"Canada","Americas",1972,72.88,22284500,18970.57086 +"Canada","Americas",1977,74.21,23796400,22090.88306 +"Canada","Americas",1982,75.76,25201900,22898.79214 +"Canada","Americas",1987,76.86,26549700,26626.51503 +"Canada","Americas",1992,77.95,28523502,26342.88426 +"Canada","Americas",1997,78.61,30305843,28954.92589 +"Canada","Americas",2002,79.77,31902268,33328.96507 +"Canada","Americas",2007,80.653,33390141,36319.23501 +"Central African Republic","Africa",1952,35.463,1291695,1071.310713 +"Central African Republic","Africa",1957,37.464,1392284,1190.844328 +"Central African Republic","Africa",1962,39.475,1523478,1193.068753 +"Central African Republic","Africa",1967,41.478,1733638,1136.056615 +"Central African Republic","Africa",1972,43.457,1927260,1070.013275 +"Central African Republic","Africa",1977,46.775,2167533,1109.374338 +"Central African Republic","Africa",1982,48.295,2476971,956.7529907 +"Central African Republic","Africa",1987,50.485,2840009,844.8763504 +"Central African Republic","Africa",1992,49.396,3265124,747.9055252 +"Central African Republic","Africa",1997,46.066,3696513,740.5063317 +"Central African Republic","Africa",2002,43.308,4048013,738.6906068 +"Central African Republic","Africa",2007,44.741,4369038,706.016537 +"Chad","Africa",1952,38.092,2682462,1178.665927 +"Chad","Africa",1957,39.881,2894855,1308.495577 +"Chad","Africa",1962,41.716,3150417,1389.817618 +"Chad","Africa",1967,43.601,3495967,1196.810565 +"Chad","Africa",1972,45.569,3899068,1104.103987 +"Chad","Africa",1977,47.383,4388260,1133.98495 +"Chad","Africa",1982,49.517,4875118,797.9081006 +"Chad","Africa",1987,51.051,5498955,952.386129 +"Chad","Africa",1992,51.724,6429417,1058.0643 +"Chad","Africa",1997,51.573,7562011,1004.961353 +"Chad","Africa",2002,50.525,8835739,1156.18186 +"Chad","Africa",2007,50.651,10238807,1704.063724 +"Chile","Americas",1952,54.745,6377619,3939.978789 +"Chile","Americas",1957,56.074,7048426,4315.622723 +"Chile","Americas",1962,57.924,7961258,4519.094331 +"Chile","Americas",1967,60.523,8858908,5106.654313 +"Chile","Americas",1972,63.441,9717524,5494.024437 +"Chile","Americas",1977,67.052,10599793,4756.763836 +"Chile","Americas",1982,70.565,11487112,5095.665738 +"Chile","Americas",1987,72.492,12463354,5547.063754 +"Chile","Americas",1992,74.126,13572994,7596.125964 +"Chile","Americas",1997,75.816,14599929,10118.05318 +"Chile","Americas",2002,77.86,15497046,10778.78385 +"Chile","Americas",2007,78.553,16284741,13171.63885 +"China","Asia",1952,44,556263527,400.448611 +"China","Asia",1957,50.54896,637408000,575.9870009 +"China","Asia",1962,44.50136,665770000,487.6740183 +"China","Asia",1967,58.38112,754550000,612.7056934 +"China","Asia",1972,63.11888,862030000,676.9000921 +"China","Asia",1977,63.96736,943455000,741.2374699 +"China","Asia",1982,65.525,1000281000,962.4213805 +"China","Asia",1987,67.274,1084035000,1378.904018 +"China","Asia",1992,68.69,1164970000,1655.784158 +"China","Asia",1997,70.426,1230075000,2289.234136 +"China","Asia",2002,72.028,1280400000,3119.280896 +"China","Asia",2007,72.961,1318683096,4959.114854 +"Colombia","Americas",1952,50.643,12350771,2144.115096 +"Colombia","Americas",1957,55.118,14485993,2323.805581 +"Colombia","Americas",1962,57.863,17009885,2492.351109 +"Colombia","Americas",1967,59.963,19764027,2678.729839 +"Colombia","Americas",1972,61.623,22542890,3264.660041 +"Colombia","Americas",1977,63.837,25094412,3815.80787 +"Colombia","Americas",1982,66.653,27764644,4397.575659 +"Colombia","Americas",1987,67.768,30964245,4903.2191 +"Colombia","Americas",1992,68.421,34202721,5444.648617 +"Colombia","Americas",1997,70.313,37657830,6117.361746 +"Colombia","Americas",2002,71.682,41008227,5755.259962 +"Colombia","Americas",2007,72.889,44227550,7006.580419 +"Comoros","Africa",1952,40.715,153936,1102.990936 +"Comoros","Africa",1957,42.46,170928,1211.148548 +"Comoros","Africa",1962,44.467,191689,1406.648278 +"Comoros","Africa",1967,46.472,217378,1876.029643 +"Comoros","Africa",1972,48.944,250027,1937.577675 +"Comoros","Africa",1977,50.939,304739,1172.603047 +"Comoros","Africa",1982,52.933,348643,1267.100083 +"Comoros","Africa",1987,54.926,395114,1315.980812 +"Comoros","Africa",1992,57.939,454429,1246.90737 +"Comoros","Africa",1997,60.66,527982,1173.618235 +"Comoros","Africa",2002,62.974,614382,1075.811558 +"Comoros","Africa",2007,65.152,710960,986.1478792 +"Congo, Dem. Rep.","Africa",1952,39.143,14100005,780.5423257 +"Congo, Dem. Rep.","Africa",1957,40.652,15577932,905.8602303 +"Congo, Dem. Rep.","Africa",1962,42.122,17486434,896.3146335 +"Congo, Dem. Rep.","Africa",1967,44.056,19941073,861.5932424 +"Congo, Dem. Rep.","Africa",1972,45.989,23007669,904.8960685 +"Congo, Dem. Rep.","Africa",1977,47.804,26480870,795.757282 +"Congo, Dem. Rep.","Africa",1982,47.784,30646495,673.7478181 +"Congo, Dem. Rep.","Africa",1987,47.412,35481645,672.774812 +"Congo, Dem. Rep.","Africa",1992,45.548,41672143,457.7191807 +"Congo, Dem. Rep.","Africa",1997,42.587,47798986,312.188423 +"Congo, Dem. Rep.","Africa",2002,44.966,55379852,241.1658765 +"Congo, Dem. Rep.","Africa",2007,46.462,64606759,277.5518587 +"Congo, Rep.","Africa",1952,42.111,854885,2125.621418 +"Congo, Rep.","Africa",1957,45.053,940458,2315.056572 +"Congo, Rep.","Africa",1962,48.435,1047924,2464.783157 +"Congo, Rep.","Africa",1967,52.04,1179760,2677.939642 +"Congo, Rep.","Africa",1972,54.907,1340458,3213.152683 +"Congo, Rep.","Africa",1977,55.625,1536769,3259.178978 +"Congo, Rep.","Africa",1982,56.695,1774735,4879.507522 +"Congo, Rep.","Africa",1987,57.47,2064095,4201.194937 +"Congo, Rep.","Africa",1992,56.433,2409073,4016.239529 +"Congo, Rep.","Africa",1997,52.962,2800947,3484.164376 +"Congo, Rep.","Africa",2002,52.97,3328795,3484.06197 +"Congo, Rep.","Africa",2007,55.322,3800610,3632.557798 +"Costa Rica","Americas",1952,57.206,926317,2627.009471 +"Costa Rica","Americas",1957,60.026,1112300,2990.010802 +"Costa Rica","Americas",1962,62.842,1345187,3460.937025 +"Costa Rica","Americas",1967,65.424,1588717,4161.727834 +"Costa Rica","Americas",1972,67.849,1834796,5118.146939 +"Costa Rica","Americas",1977,70.75,2108457,5926.876967 +"Costa Rica","Americas",1982,73.45,2424367,5262.734751 +"Costa Rica","Americas",1987,74.752,2799811,5629.915318 +"Costa Rica","Americas",1992,75.713,3173216,6160.416317 +"Costa Rica","Americas",1997,77.26,3518107,6677.045314 +"Costa Rica","Americas",2002,78.123,3834934,7723.447195 +"Costa Rica","Americas",2007,78.782,4133884,9645.06142 +"Cote d'Ivoire","Africa",1952,40.477,2977019,1388.594732 +"Cote d'Ivoire","Africa",1957,42.469,3300000,1500.895925 +"Cote d'Ivoire","Africa",1962,44.93,3832408,1728.869428 +"Cote d'Ivoire","Africa",1967,47.35,4744870,2052.050473 +"Cote d'Ivoire","Africa",1972,49.801,6071696,2378.201111 +"Cote d'Ivoire","Africa",1977,52.374,7459574,2517.736547 +"Cote d'Ivoire","Africa",1982,53.983,9025951,2602.710169 +"Cote d'Ivoire","Africa",1987,54.655,10761098,2156.956069 +"Cote d'Ivoire","Africa",1992,52.044,12772596,1648.073791 +"Cote d'Ivoire","Africa",1997,47.991,14625967,1786.265407 +"Cote d'Ivoire","Africa",2002,46.832,16252726,1648.800823 +"Cote d'Ivoire","Africa",2007,48.328,18013409,1544.750112 +"Croatia","Europe",1952,61.21,3882229,3119.23652 +"Croatia","Europe",1957,64.77,3991242,4338.231617 +"Croatia","Europe",1962,67.13,4076557,5477.890018 +"Croatia","Europe",1967,68.5,4174366,6960.297861 +"Croatia","Europe",1972,69.61,4225310,9164.090127 +"Croatia","Europe",1977,70.64,4318673,11305.38517 +"Croatia","Europe",1982,70.46,4413368,13221.82184 +"Croatia","Europe",1987,71.52,4484310,13822.58394 +"Croatia","Europe",1992,72.527,4494013,8447.794873 +"Croatia","Europe",1997,73.68,4444595,9875.604515 +"Croatia","Europe",2002,74.876,4481020,11628.38895 +"Croatia","Europe",2007,75.748,4493312,14619.22272 +"Cuba","Americas",1952,59.421,6007797,5586.53878 +"Cuba","Americas",1957,62.325,6640752,6092.174359 +"Cuba","Americas",1962,65.246,7254373,5180.75591 +"Cuba","Americas",1967,68.29,8139332,5690.268015 +"Cuba","Americas",1972,70.723,8831348,5305.445256 +"Cuba","Americas",1977,72.649,9537988,6380.494966 +"Cuba","Americas",1982,73.717,9789224,7316.918107 +"Cuba","Americas",1987,74.174,10239839,7532.924763 +"Cuba","Americas",1992,74.414,10723260,5592.843963 +"Cuba","Americas",1997,76.151,10983007,5431.990415 +"Cuba","Americas",2002,77.158,11226999,6340.646683 +"Cuba","Americas",2007,78.273,11416987,8948.102923 +"Czech Republic","Europe",1952,66.87,9125183,6876.14025 +"Czech Republic","Europe",1957,69.03,9513758,8256.343918 +"Czech Republic","Europe",1962,69.9,9620282,10136.86713 +"Czech Republic","Europe",1967,70.38,9835109,11399.44489 +"Czech Republic","Europe",1972,70.29,9862158,13108.4536 +"Czech Republic","Europe",1977,70.71,10161915,14800.16062 +"Czech Republic","Europe",1982,70.96,10303704,15377.22855 +"Czech Republic","Europe",1987,71.58,10311597,16310.4434 +"Czech Republic","Europe",1992,72.4,10315702,14297.02122 +"Czech Republic","Europe",1997,74.01,10300707,16048.51424 +"Czech Republic","Europe",2002,75.51,10256295,17596.21022 +"Czech Republic","Europe",2007,76.486,10228744,22833.30851 +"Denmark","Europe",1952,70.78,4334000,9692.385245 +"Denmark","Europe",1957,71.81,4487831,11099.65935 +"Denmark","Europe",1962,72.35,4646899,13583.31351 +"Denmark","Europe",1967,72.96,4838800,15937.21123 +"Denmark","Europe",1972,73.47,4991596,18866.20721 +"Denmark","Europe",1977,74.69,5088419,20422.9015 +"Denmark","Europe",1982,74.63,5117810,21688.04048 +"Denmark","Europe",1987,74.8,5127024,25116.17581 +"Denmark","Europe",1992,75.33,5171393,26406.73985 +"Denmark","Europe",1997,76.11,5283663,29804.34567 +"Denmark","Europe",2002,77.18,5374693,32166.50006 +"Denmark","Europe",2007,78.332,5468120,35278.41874 +"Djibouti","Africa",1952,34.812,63149,2669.529475 +"Djibouti","Africa",1957,37.328,71851,2864.969076 +"Djibouti","Africa",1962,39.693,89898,3020.989263 +"Djibouti","Africa",1967,42.074,127617,3020.050513 +"Djibouti","Africa",1972,44.366,178848,3694.212352 +"Djibouti","Africa",1977,46.519,228694,3081.761022 +"Djibouti","Africa",1982,48.812,305991,2879.468067 +"Djibouti","Africa",1987,50.04,311025,2880.102568 +"Djibouti","Africa",1992,51.604,384156,2377.156192 +"Djibouti","Africa",1997,53.157,417908,1895.016984 +"Djibouti","Africa",2002,53.373,447416,1908.260867 +"Djibouti","Africa",2007,54.791,496374,2082.481567 +"Dominican Republic","Americas",1952,45.928,2491346,1397.717137 +"Dominican Republic","Americas",1957,49.828,2923186,1544.402995 +"Dominican Republic","Americas",1962,53.459,3453434,1662.137359 +"Dominican Republic","Americas",1967,56.751,4049146,1653.723003 +"Dominican Republic","Americas",1972,59.631,4671329,2189.874499 +"Dominican Republic","Americas",1977,61.788,5302800,2681.9889 +"Dominican Republic","Americas",1982,63.727,5968349,2861.092386 +"Dominican Republic","Americas",1987,66.046,6655297,2899.842175 +"Dominican Republic","Americas",1992,68.457,7351181,3044.214214 +"Dominican Republic","Americas",1997,69.957,7992357,3614.101285 +"Dominican Republic","Americas",2002,70.847,8650322,4563.808154 +"Dominican Republic","Americas",2007,72.235,9319622,6025.374752 +"Ecuador","Americas",1952,48.357,3548753,3522.110717 +"Ecuador","Americas",1957,51.356,4058385,3780.546651 +"Ecuador","Americas",1962,54.64,4681707,4086.114078 +"Ecuador","Americas",1967,56.678,5432424,4579.074215 +"Ecuador","Americas",1972,58.796,6298651,5280.99471 +"Ecuador","Americas",1977,61.31,7278866,6679.62326 +"Ecuador","Americas",1982,64.342,8365850,7213.791267 +"Ecuador","Americas",1987,67.231,9545158,6481.776993 +"Ecuador","Americas",1992,69.613,10748394,7103.702595 +"Ecuador","Americas",1997,72.312,11911819,7429.455877 +"Ecuador","Americas",2002,74.173,12921234,5773.044512 +"Ecuador","Americas",2007,74.994,13755680,6873.262326 +"Egypt","Africa",1952,41.893,22223309,1418.822445 +"Egypt","Africa",1957,44.444,25009741,1458.915272 +"Egypt","Africa",1962,46.992,28173309,1693.335853 +"Egypt","Africa",1967,49.293,31681188,1814.880728 +"Egypt","Africa",1972,51.137,34807417,2024.008147 +"Egypt","Africa",1977,53.319,38783863,2785.493582 +"Egypt","Africa",1982,56.006,45681811,3503.729636 +"Egypt","Africa",1987,59.797,52799062,3885.46071 +"Egypt","Africa",1992,63.674,59402198,3794.755195 +"Egypt","Africa",1997,67.217,66134291,4173.181797 +"Egypt","Africa",2002,69.806,73312559,4754.604414 +"Egypt","Africa",2007,71.338,80264543,5581.180998 +"El Salvador","Americas",1952,45.262,2042865,3048.3029 +"El Salvador","Americas",1957,48.57,2355805,3421.523218 +"El Salvador","Americas",1962,52.307,2747687,3776.803627 +"El Salvador","Americas",1967,55.855,3232927,4358.595393 +"El Salvador","Americas",1972,58.207,3790903,4520.246008 +"El Salvador","Americas",1977,56.696,4282586,5138.922374 +"El Salvador","Americas",1982,56.604,4474873,4098.344175 +"El Salvador","Americas",1987,63.154,4842194,4140.442097 +"El Salvador","Americas",1992,66.798,5274649,4444.2317 +"El Salvador","Americas",1997,69.535,5783439,5154.825496 +"El Salvador","Americas",2002,70.734,6353681,5351.568666 +"El Salvador","Americas",2007,71.878,6939688,5728.353514 +"Equatorial Guinea","Africa",1952,34.482,216964,375.6431231 +"Equatorial Guinea","Africa",1957,35.983,232922,426.0964081 +"Equatorial Guinea","Africa",1962,37.485,249220,582.8419714 +"Equatorial Guinea","Africa",1967,38.987,259864,915.5960025 +"Equatorial Guinea","Africa",1972,40.516,277603,672.4122571 +"Equatorial Guinea","Africa",1977,42.024,192675,958.5668124 +"Equatorial Guinea","Africa",1982,43.662,285483,927.8253427 +"Equatorial Guinea","Africa",1987,45.664,341244,966.8968149 +"Equatorial Guinea","Africa",1992,47.545,387838,1132.055034 +"Equatorial Guinea","Africa",1997,48.245,439971,2814.480755 +"Equatorial Guinea","Africa",2002,49.348,495627,7703.4959 +"Equatorial Guinea","Africa",2007,51.579,551201,12154.08975 +"Eritrea","Africa",1952,35.928,1438760,328.9405571 +"Eritrea","Africa",1957,38.047,1542611,344.1618859 +"Eritrea","Africa",1962,40.158,1666618,380.9958433 +"Eritrea","Africa",1967,42.189,1820319,468.7949699 +"Eritrea","Africa",1972,44.142,2260187,514.3242082 +"Eritrea","Africa",1977,44.535,2512642,505.7538077 +"Eritrea","Africa",1982,43.89,2637297,524.8758493 +"Eritrea","Africa",1987,46.453,2915959,521.1341333 +"Eritrea","Africa",1992,49.991,3668440,582.8585102 +"Eritrea","Africa",1997,53.378,4058319,913.47079 +"Eritrea","Africa",2002,55.24,4414865,765.3500015 +"Eritrea","Africa",2007,58.04,4906585,641.3695236 +"Ethiopia","Africa",1952,34.078,20860941,362.1462796 +"Ethiopia","Africa",1957,36.667,22815614,378.9041632 +"Ethiopia","Africa",1962,40.059,25145372,419.4564161 +"Ethiopia","Africa",1967,42.115,27860297,516.1186438 +"Ethiopia","Africa",1972,43.515,30770372,566.2439442 +"Ethiopia","Africa",1977,44.51,34617799,556.8083834 +"Ethiopia","Africa",1982,44.916,38111756,577.8607471 +"Ethiopia","Africa",1987,46.684,42999530,573.7413142 +"Ethiopia","Africa",1992,48.091,52088559,421.3534653 +"Ethiopia","Africa",1997,49.402,59861301,515.8894013 +"Ethiopia","Africa",2002,50.725,67946797,530.0535319 +"Ethiopia","Africa",2007,52.947,76511887,690.8055759 +"Finland","Europe",1952,66.55,4090500,6424.519071 +"Finland","Europe",1957,67.49,4324000,7545.415386 +"Finland","Europe",1962,68.75,4491443,9371.842561 +"Finland","Europe",1967,69.83,4605744,10921.63626 +"Finland","Europe",1972,70.87,4639657,14358.8759 +"Finland","Europe",1977,72.52,4738902,15605.42283 +"Finland","Europe",1982,74.55,4826933,18533.15761 +"Finland","Europe",1987,74.83,4931729,21141.01223 +"Finland","Europe",1992,75.7,5041039,20647.16499 +"Finland","Europe",1997,77.13,5134406,23723.9502 +"Finland","Europe",2002,78.37,5193039,28204.59057 +"Finland","Europe",2007,79.313,5238460,33207.0844 +"France","Europe",1952,67.41,42459667,7029.809327 +"France","Europe",1957,68.93,44310863,8662.834898 +"France","Europe",1962,70.51,47124000,10560.48553 +"France","Europe",1967,71.55,49569000,12999.91766 +"France","Europe",1972,72.38,51732000,16107.19171 +"France","Europe",1977,73.83,53165019,18292.63514 +"France","Europe",1982,74.89,54433565,20293.89746 +"France","Europe",1987,76.34,55630100,22066.44214 +"France","Europe",1992,77.46,57374179,24703.79615 +"France","Europe",1997,78.64,58623428,25889.78487 +"France","Europe",2002,79.59,59925035,28926.03234 +"France","Europe",2007,80.657,61083916,30470.0167 +"Gabon","Africa",1952,37.003,420702,4293.476475 +"Gabon","Africa",1957,38.999,434904,4976.198099 +"Gabon","Africa",1962,40.489,455661,6631.459222 +"Gabon","Africa",1967,44.598,489004,8358.761987 +"Gabon","Africa",1972,48.69,537977,11401.94841 +"Gabon","Africa",1977,52.79,706367,21745.57328 +"Gabon","Africa",1982,56.564,753874,15113.36194 +"Gabon","Africa",1987,60.19,880397,11864.40844 +"Gabon","Africa",1992,61.366,985739,13522.15752 +"Gabon","Africa",1997,60.461,1126189,14722.84188 +"Gabon","Africa",2002,56.761,1299304,12521.71392 +"Gabon","Africa",2007,56.735,1454867,13206.48452 +"Gambia","Africa",1952,30,284320,485.2306591 +"Gambia","Africa",1957,32.065,323150,520.9267111 +"Gambia","Africa",1962,33.896,374020,599.650276 +"Gambia","Africa",1967,35.857,439593,734.7829124 +"Gambia","Africa",1972,38.308,517101,756.0868363 +"Gambia","Africa",1977,41.842,608274,884.7552507 +"Gambia","Africa",1982,45.58,715523,835.8096108 +"Gambia","Africa",1987,49.265,848406,611.6588611 +"Gambia","Africa",1992,52.644,1025384,665.6244126 +"Gambia","Africa",1997,55.861,1235767,653.7301704 +"Gambia","Africa",2002,58.041,1457766,660.5855997 +"Gambia","Africa",2007,59.448,1688359,752.7497265 +"Germany","Europe",1952,67.5,69145952,7144.114393 +"Germany","Europe",1957,69.1,71019069,10187.82665 +"Germany","Europe",1962,70.3,73739117,12902.46291 +"Germany","Europe",1967,70.8,76368453,14745.62561 +"Germany","Europe",1972,71,78717088,18016.18027 +"Germany","Europe",1977,72.5,78160773,20512.92123 +"Germany","Europe",1982,73.8,78335266,22031.53274 +"Germany","Europe",1987,74.847,77718298,24639.18566 +"Germany","Europe",1992,76.07,80597764,26505.30317 +"Germany","Europe",1997,77.34,82011073,27788.88416 +"Germany","Europe",2002,78.67,82350671,30035.80198 +"Germany","Europe",2007,79.406,82400996,32170.37442 +"Ghana","Africa",1952,43.149,5581001,911.2989371 +"Ghana","Africa",1957,44.779,6391288,1043.561537 +"Ghana","Africa",1962,46.452,7355248,1190.041118 +"Ghana","Africa",1967,48.072,8490213,1125.69716 +"Ghana","Africa",1972,49.875,9354120,1178.223708 +"Ghana","Africa",1977,51.756,10538093,993.2239571 +"Ghana","Africa",1982,53.744,11400338,876.032569 +"Ghana","Africa",1987,55.729,14168101,847.0061135 +"Ghana","Africa",1992,57.501,16278738,925.060154 +"Ghana","Africa",1997,58.556,18418288,1005.245812 +"Ghana","Africa",2002,58.453,20550751,1111.984578 +"Ghana","Africa",2007,60.022,22873338,1327.60891 +"Greece","Europe",1952,65.86,7733250,3530.690067 +"Greece","Europe",1957,67.86,8096218,4916.299889 +"Greece","Europe",1962,69.51,8448233,6017.190733 +"Greece","Europe",1967,71,8716441,8513.097016 +"Greece","Europe",1972,72.34,8888628,12724.82957 +"Greece","Europe",1977,73.68,9308479,14195.52428 +"Greece","Europe",1982,75.24,9786480,15268.42089 +"Greece","Europe",1987,76.67,9974490,16120.52839 +"Greece","Europe",1992,77.03,10325429,17541.49634 +"Greece","Europe",1997,77.869,10502372,18747.69814 +"Greece","Europe",2002,78.256,10603863,22514.2548 +"Greece","Europe",2007,79.483,10706290,27538.41188 +"Guatemala","Americas",1952,42.023,3146381,2428.237769 +"Guatemala","Americas",1957,44.142,3640876,2617.155967 +"Guatemala","Americas",1962,46.954,4208858,2750.364446 +"Guatemala","Americas",1967,50.016,4690773,3242.531147 +"Guatemala","Americas",1972,53.738,5149581,4031.408271 +"Guatemala","Americas",1977,56.029,5703430,4879.992748 +"Guatemala","Americas",1982,58.137,6395630,4820.49479 +"Guatemala","Americas",1987,60.782,7326406,4246.485974 +"Guatemala","Americas",1992,63.373,8486949,4439.45084 +"Guatemala","Americas",1997,66.322,9803875,4684.313807 +"Guatemala","Americas",2002,68.978,11178650,4858.347495 +"Guatemala","Americas",2007,70.259,12572928,5186.050003 +"Guinea","Africa",1952,33.609,2664249,510.1964923 +"Guinea","Africa",1957,34.558,2876726,576.2670245 +"Guinea","Africa",1962,35.753,3140003,686.3736739 +"Guinea","Africa",1967,37.197,3451418,708.7595409 +"Guinea","Africa",1972,38.842,3811387,741.6662307 +"Guinea","Africa",1977,40.762,4227026,874.6858643 +"Guinea","Africa",1982,42.891,4710497,857.2503577 +"Guinea","Africa",1987,45.552,5650262,805.5724718 +"Guinea","Africa",1992,48.576,6990574,794.3484384 +"Guinea","Africa",1997,51.455,8048834,869.4497668 +"Guinea","Africa",2002,53.676,8807818,945.5835837 +"Guinea","Africa",2007,56.007,9947814,942.6542111 +"Guinea-Bissau","Africa",1952,32.5,580653,299.850319 +"Guinea-Bissau","Africa",1957,33.489,601095,431.7904566 +"Guinea-Bissau","Africa",1962,34.488,627820,522.0343725 +"Guinea-Bissau","Africa",1967,35.492,601287,715.5806402 +"Guinea-Bissau","Africa",1972,36.486,625361,820.2245876 +"Guinea-Bissau","Africa",1977,37.465,745228,764.7259628 +"Guinea-Bissau","Africa",1982,39.327,825987,838.1239671 +"Guinea-Bissau","Africa",1987,41.245,927524,736.4153921 +"Guinea-Bissau","Africa",1992,43.266,1050938,745.5398706 +"Guinea-Bissau","Africa",1997,44.873,1193708,796.6644681 +"Guinea-Bissau","Africa",2002,45.504,1332459,575.7047176 +"Guinea-Bissau","Africa",2007,46.388,1472041,579.231743 +"Haiti","Americas",1952,37.579,3201488,1840.366939 +"Haiti","Americas",1957,40.696,3507701,1726.887882 +"Haiti","Americas",1962,43.59,3880130,1796.589032 +"Haiti","Americas",1967,46.243,4318137,1452.057666 +"Haiti","Americas",1972,48.042,4698301,1654.456946 +"Haiti","Americas",1977,49.923,4908554,1874.298931 +"Haiti","Americas",1982,51.461,5198399,2011.159549 +"Haiti","Americas",1987,53.636,5756203,1823.015995 +"Haiti","Americas",1992,55.089,6326682,1456.309517 +"Haiti","Americas",1997,56.671,6913545,1341.726931 +"Haiti","Americas",2002,58.137,7607651,1270.364932 +"Haiti","Americas",2007,60.916,8502814,1201.637154 +"Honduras","Americas",1952,41.912,1517453,2194.926204 +"Honduras","Americas",1957,44.665,1770390,2220.487682 +"Honduras","Americas",1962,48.041,2090162,2291.156835 +"Honduras","Americas",1967,50.924,2500689,2538.269358 +"Honduras","Americas",1972,53.884,2965146,2529.842345 +"Honduras","Americas",1977,57.402,3055235,3203.208066 +"Honduras","Americas",1982,60.909,3669448,3121.760794 +"Honduras","Americas",1987,64.492,4372203,3023.096699 +"Honduras","Americas",1992,66.399,5077347,3081.694603 +"Honduras","Americas",1997,67.659,5867957,3160.454906 +"Honduras","Americas",2002,68.565,6677328,3099.72866 +"Honduras","Americas",2007,70.198,7483763,3548.330846 +"Hong Kong, China","Asia",1952,60.96,2125900,3054.421209 +"Hong Kong, China","Asia",1957,64.75,2736300,3629.076457 +"Hong Kong, China","Asia",1962,67.65,3305200,4692.648272 +"Hong Kong, China","Asia",1967,70,3722800,6197.962814 +"Hong Kong, China","Asia",1972,72,4115700,8315.928145 +"Hong Kong, China","Asia",1977,73.6,4583700,11186.14125 +"Hong Kong, China","Asia",1982,75.45,5264500,14560.53051 +"Hong Kong, China","Asia",1987,76.2,5584510,20038.47269 +"Hong Kong, China","Asia",1992,77.601,5829696,24757.60301 +"Hong Kong, China","Asia",1997,80,6495918,28377.63219 +"Hong Kong, China","Asia",2002,81.495,6762476,30209.01516 +"Hong Kong, China","Asia",2007,82.208,6980412,39724.97867 +"Hungary","Europe",1952,64.03,9504000,5263.673816 +"Hungary","Europe",1957,66.41,9839000,6040.180011 +"Hungary","Europe",1962,67.96,10063000,7550.359877 +"Hungary","Europe",1967,69.5,10223422,9326.64467 +"Hungary","Europe",1972,69.76,10394091,10168.65611 +"Hungary","Europe",1977,69.95,10637171,11674.83737 +"Hungary","Europe",1982,69.39,10705535,12545.99066 +"Hungary","Europe",1987,69.58,10612740,12986.47998 +"Hungary","Europe",1992,69.17,10348684,10535.62855 +"Hungary","Europe",1997,71.04,10244684,11712.7768 +"Hungary","Europe",2002,72.59,10083313,14843.93556 +"Hungary","Europe",2007,73.338,9956108,18008.94444 +"Iceland","Europe",1952,72.49,147962,7267.688428 +"Iceland","Europe",1957,73.47,165110,9244.001412 +"Iceland","Europe",1962,73.68,182053,10350.15906 +"Iceland","Europe",1967,73.73,198676,13319.89568 +"Iceland","Europe",1972,74.46,209275,15798.06362 +"Iceland","Europe",1977,76.11,221823,19654.96247 +"Iceland","Europe",1982,76.99,233997,23269.6075 +"Iceland","Europe",1987,77.23,244676,26923.20628 +"Iceland","Europe",1992,78.77,259012,25144.39201 +"Iceland","Europe",1997,78.95,271192,28061.09966 +"Iceland","Europe",2002,80.5,288030,31163.20196 +"Iceland","Europe",2007,81.757,301931,36180.78919 +"India","Asia",1952,37.373,372000000,546.5657493 +"India","Asia",1957,40.249,409000000,590.061996 +"India","Asia",1962,43.605,454000000,658.3471509 +"India","Asia",1967,47.193,506000000,700.7706107 +"India","Asia",1972,50.651,567000000,724.032527 +"India","Asia",1977,54.208,634000000,813.337323 +"India","Asia",1982,56.596,708000000,855.7235377 +"India","Asia",1987,58.553,788000000,976.5126756 +"India","Asia",1992,60.223,872000000,1164.406809 +"India","Asia",1997,61.765,959000000,1458.817442 +"India","Asia",2002,62.879,1034172547,1746.769454 +"India","Asia",2007,64.698,1110396331,2452.210407 +"Indonesia","Asia",1952,37.468,82052000,749.6816546 +"Indonesia","Asia",1957,39.918,90124000,858.9002707 +"Indonesia","Asia",1962,42.518,99028000,849.2897701 +"Indonesia","Asia",1967,45.964,109343000,762.4317721 +"Indonesia","Asia",1972,49.203,121282000,1111.107907 +"Indonesia","Asia",1977,52.702,136725000,1382.702056 +"Indonesia","Asia",1982,56.159,153343000,1516.872988 +"Indonesia","Asia",1987,60.137,169276000,1748.356961 +"Indonesia","Asia",1992,62.681,184816000,2383.140898 +"Indonesia","Asia",1997,66.041,199278000,3119.335603 +"Indonesia","Asia",2002,68.588,211060000,2873.91287 +"Indonesia","Asia",2007,70.65,223547000,3540.651564 +"Iran","Asia",1952,44.869,17272000,3035.326002 +"Iran","Asia",1957,47.181,19792000,3290.257643 +"Iran","Asia",1962,49.325,22874000,4187.329802 +"Iran","Asia",1967,52.469,26538000,5906.731805 +"Iran","Asia",1972,55.234,30614000,9613.818607 +"Iran","Asia",1977,57.702,35480679,11888.59508 +"Iran","Asia",1982,59.62,43072751,7608.334602 +"Iran","Asia",1987,63.04,51889696,6642.881371 +"Iran","Asia",1992,65.742,60397973,7235.653188 +"Iran","Asia",1997,68.042,63327987,8263.590301 +"Iran","Asia",2002,69.451,66907826,9240.761975 +"Iran","Asia",2007,70.964,69453570,11605.71449 +"Iraq","Asia",1952,45.32,5441766,4129.766056 +"Iraq","Asia",1957,48.437,6248643,6229.333562 +"Iraq","Asia",1962,51.457,7240260,8341.737815 +"Iraq","Asia",1967,54.459,8519282,8931.459811 +"Iraq","Asia",1972,56.95,10061506,9576.037596 +"Iraq","Asia",1977,60.413,11882916,14688.23507 +"Iraq","Asia",1982,62.038,14173318,14517.90711 +"Iraq","Asia",1987,65.044,16543189,11643.57268 +"Iraq","Asia",1992,59.461,17861905,3745.640687 +"Iraq","Asia",1997,58.811,20775703,3076.239795 +"Iraq","Asia",2002,57.046,24001816,4390.717312 +"Iraq","Asia",2007,59.545,27499638,4471.061906 +"Ireland","Europe",1952,66.91,2952156,5210.280328 +"Ireland","Europe",1957,68.9,2878220,5599.077872 +"Ireland","Europe",1962,70.29,2830000,6631.597314 +"Ireland","Europe",1967,71.08,2900100,7655.568963 +"Ireland","Europe",1972,71.28,3024400,9530.772896 +"Ireland","Europe",1977,72.03,3271900,11150.98113 +"Ireland","Europe",1982,73.1,3480000,12618.32141 +"Ireland","Europe",1987,74.36,3539900,13872.86652 +"Ireland","Europe",1992,75.467,3557761,17558.81555 +"Ireland","Europe",1997,76.122,3667233,24521.94713 +"Ireland","Europe",2002,77.783,3879155,34077.04939 +"Ireland","Europe",2007,78.885,4109086,40675.99635 +"Israel","Asia",1952,65.39,1620914,4086.522128 +"Israel","Asia",1957,67.84,1944401,5385.278451 +"Israel","Asia",1962,69.39,2310904,7105.630706 +"Israel","Asia",1967,70.75,2693585,8393.741404 +"Israel","Asia",1972,71.63,3095893,12786.93223 +"Israel","Asia",1977,73.06,3495918,13306.61921 +"Israel","Asia",1982,74.45,3858421,15367.0292 +"Israel","Asia",1987,75.6,4203148,17122.47986 +"Israel","Asia",1992,76.93,4936550,18051.52254 +"Israel","Asia",1997,78.269,5531387,20896.60924 +"Israel","Asia",2002,79.696,6029529,21905.59514 +"Israel","Asia",2007,80.745,6426679,25523.2771 +"Italy","Europe",1952,65.94,47666000,4931.404155 +"Italy","Europe",1957,67.81,49182000,6248.656232 +"Italy","Europe",1962,69.24,50843200,8243.58234 +"Italy","Europe",1967,71.06,52667100,10022.40131 +"Italy","Europe",1972,72.19,54365564,12269.27378 +"Italy","Europe",1977,73.48,56059245,14255.98475 +"Italy","Europe",1982,74.98,56535636,16537.4835 +"Italy","Europe",1987,76.42,56729703,19207.23482 +"Italy","Europe",1992,77.44,56840847,22013.64486 +"Italy","Europe",1997,78.82,57479469,24675.02446 +"Italy","Europe",2002,80.24,57926999,27968.09817 +"Italy","Europe",2007,80.546,58147733,28569.7197 +"Jamaica","Americas",1952,58.53,1426095,2898.530881 +"Jamaica","Americas",1957,62.61,1535090,4756.525781 +"Jamaica","Americas",1962,65.61,1665128,5246.107524 +"Jamaica","Americas",1967,67.51,1861096,6124.703451 +"Jamaica","Americas",1972,69,1997616,7433.889293 +"Jamaica","Americas",1977,70.11,2156814,6650.195573 +"Jamaica","Americas",1982,71.21,2298309,6068.05135 +"Jamaica","Americas",1987,71.77,2326606,6351.237495 +"Jamaica","Americas",1992,71.766,2378618,7404.923685 +"Jamaica","Americas",1997,72.262,2531311,7121.924704 +"Jamaica","Americas",2002,72.047,2664659,6994.774861 +"Jamaica","Americas",2007,72.567,2780132,7320.880262 +"Japan","Asia",1952,63.03,86459025,3216.956347 +"Japan","Asia",1957,65.5,91563009,4317.694365 +"Japan","Asia",1962,68.73,95831757,6576.649461 +"Japan","Asia",1967,71.43,100825279,9847.788607 +"Japan","Asia",1972,73.42,107188273,14778.78636 +"Japan","Asia",1977,75.38,113872473,16610.37701 +"Japan","Asia",1982,77.11,118454974,19384.10571 +"Japan","Asia",1987,78.67,122091325,22375.94189 +"Japan","Asia",1992,79.36,124329269,26824.89511 +"Japan","Asia",1997,80.69,125956499,28816.58499 +"Japan","Asia",2002,82,127065841,28604.5919 +"Japan","Asia",2007,82.603,127467972,31656.06806 +"Jordan","Asia",1952,43.158,607914,1546.907807 +"Jordan","Asia",1957,45.669,746559,1886.080591 +"Jordan","Asia",1962,48.126,933559,2348.009158 +"Jordan","Asia",1967,51.629,1255058,2741.796252 +"Jordan","Asia",1972,56.528,1613551,2110.856309 +"Jordan","Asia",1977,61.134,1937652,2852.351568 +"Jordan","Asia",1982,63.739,2347031,4161.415959 +"Jordan","Asia",1987,65.869,2820042,4448.679912 +"Jordan","Asia",1992,68.015,3867409,3431.593647 +"Jordan","Asia",1997,69.772,4526235,3645.379572 +"Jordan","Asia",2002,71.263,5307470,3844.917194 +"Jordan","Asia",2007,72.535,6053193,4519.461171 +"Kenya","Africa",1952,42.27,6464046,853.540919 +"Kenya","Africa",1957,44.686,7454779,944.4383152 +"Kenya","Africa",1962,47.949,8678557,896.9663732 +"Kenya","Africa",1967,50.654,10191512,1056.736457 +"Kenya","Africa",1972,53.559,12044785,1222.359968 +"Kenya","Africa",1977,56.155,14500404,1267.613204 +"Kenya","Africa",1982,58.766,17661452,1348.225791 +"Kenya","Africa",1987,59.339,21198082,1361.936856 +"Kenya","Africa",1992,59.285,25020539,1341.921721 +"Kenya","Africa",1997,54.407,28263827,1360.485021 +"Kenya","Africa",2002,50.992,31386842,1287.514732 +"Kenya","Africa",2007,54.11,35610177,1463.249282 +"Korea, Dem. Rep.","Asia",1952,50.056,8865488,1088.277758 +"Korea, Dem. Rep.","Asia",1957,54.081,9411381,1571.134655 +"Korea, Dem. Rep.","Asia",1962,56.656,10917494,1621.693598 +"Korea, Dem. Rep.","Asia",1967,59.942,12617009,2143.540609 +"Korea, Dem. Rep.","Asia",1972,63.983,14781241,3701.621503 +"Korea, Dem. Rep.","Asia",1977,67.159,16325320,4106.301249 +"Korea, Dem. Rep.","Asia",1982,69.1,17647518,4106.525293 +"Korea, Dem. Rep.","Asia",1987,70.647,19067554,4106.492315 +"Korea, Dem. Rep.","Asia",1992,69.978,20711375,3726.063507 +"Korea, Dem. Rep.","Asia",1997,67.727,21585105,1690.756814 +"Korea, Dem. Rep.","Asia",2002,66.662,22215365,1646.758151 +"Korea, Dem. Rep.","Asia",2007,67.297,23301725,1593.06548 +"Korea, Rep.","Asia",1952,47.453,20947571,1030.592226 +"Korea, Rep.","Asia",1957,52.681,22611552,1487.593537 +"Korea, Rep.","Asia",1962,55.292,26420307,1536.344387 +"Korea, Rep.","Asia",1967,57.716,30131000,2029.228142 +"Korea, Rep.","Asia",1972,62.612,33505000,3030.87665 +"Korea, Rep.","Asia",1977,64.766,36436000,4657.22102 +"Korea, Rep.","Asia",1982,67.123,39326000,5622.942464 +"Korea, Rep.","Asia",1987,69.81,41622000,8533.088805 +"Korea, Rep.","Asia",1992,72.244,43805450,12104.27872 +"Korea, Rep.","Asia",1997,74.647,46173816,15993.52796 +"Korea, Rep.","Asia",2002,77.045,47969150,19233.98818 +"Korea, Rep.","Asia",2007,78.623,49044790,23348.13973 +"Kuwait","Asia",1952,55.565,160000,108382.3529 +"Kuwait","Asia",1957,58.033,212846,113523.1329 +"Kuwait","Asia",1962,60.47,358266,95458.11176 +"Kuwait","Asia",1967,64.624,575003,80894.88326 +"Kuwait","Asia",1972,67.712,841934,109347.867 +"Kuwait","Asia",1977,69.343,1140357,59265.47714 +"Kuwait","Asia",1982,71.309,1497494,31354.03573 +"Kuwait","Asia",1987,74.174,1891487,28118.42998 +"Kuwait","Asia",1992,75.19,1418095,34932.91959 +"Kuwait","Asia",1997,76.156,1765345,40300.61996 +"Kuwait","Asia",2002,76.904,2111561,35110.10566 +"Kuwait","Asia",2007,77.588,2505559,47306.98978 +"Lebanon","Asia",1952,55.928,1439529,4834.804067 +"Lebanon","Asia",1957,59.489,1647412,6089.786934 +"Lebanon","Asia",1962,62.094,1886848,5714.560611 +"Lebanon","Asia",1967,63.87,2186894,6006.983042 +"Lebanon","Asia",1972,65.421,2680018,7486.384341 +"Lebanon","Asia",1977,66.099,3115787,8659.696836 +"Lebanon","Asia",1982,66.983,3086876,7640.519521 +"Lebanon","Asia",1987,67.926,3089353,5377.091329 +"Lebanon","Asia",1992,69.292,3219994,6890.806854 +"Lebanon","Asia",1997,70.265,3430388,8754.96385 +"Lebanon","Asia",2002,71.028,3677780,9313.93883 +"Lebanon","Asia",2007,71.993,3921278,10461.05868 +"Lesotho","Africa",1952,42.138,748747,298.8462121 +"Lesotho","Africa",1957,45.047,813338,335.9971151 +"Lesotho","Africa",1962,47.747,893143,411.8006266 +"Lesotho","Africa",1967,48.492,996380,498.6390265 +"Lesotho","Africa",1972,49.767,1116779,496.5815922 +"Lesotho","Africa",1977,52.208,1251524,745.3695408 +"Lesotho","Africa",1982,55.078,1411807,797.2631074 +"Lesotho","Africa",1987,57.18,1599200,773.9932141 +"Lesotho","Africa",1992,59.685,1803195,977.4862725 +"Lesotho","Africa",1997,55.558,1982823,1186.147994 +"Lesotho","Africa",2002,44.593,2046772,1275.184575 +"Lesotho","Africa",2007,42.592,2012649,1569.331442 +"Liberia","Africa",1952,38.48,863308,575.5729961 +"Liberia","Africa",1957,39.486,975950,620.9699901 +"Liberia","Africa",1962,40.502,1112796,634.1951625 +"Liberia","Africa",1967,41.536,1279406,713.6036483 +"Liberia","Africa",1972,42.614,1482628,803.0054535 +"Liberia","Africa",1977,43.764,1703617,640.3224383 +"Liberia","Africa",1982,44.852,1956875,572.1995694 +"Liberia","Africa",1987,46.027,2269414,506.1138573 +"Liberia","Africa",1992,40.802,1912974,636.6229191 +"Liberia","Africa",1997,42.221,2200725,609.1739508 +"Liberia","Africa",2002,43.753,2814651,531.4823679 +"Liberia","Africa",2007,45.678,3193942,414.5073415 +"Libya","Africa",1952,42.723,1019729,2387.54806 +"Libya","Africa",1957,45.289,1201578,3448.284395 +"Libya","Africa",1962,47.808,1441863,6757.030816 +"Libya","Africa",1967,50.227,1759224,18772.75169 +"Libya","Africa",1972,52.773,2183877,21011.49721 +"Libya","Africa",1977,57.442,2721783,21951.21176 +"Libya","Africa",1982,62.155,3344074,17364.27538 +"Libya","Africa",1987,66.234,3799845,11770.5898 +"Libya","Africa",1992,68.755,4364501,9640.138501 +"Libya","Africa",1997,71.555,4759670,9467.446056 +"Libya","Africa",2002,72.737,5368585,9534.677467 +"Libya","Africa",2007,73.952,6036914,12057.49928 +"Madagascar","Africa",1952,36.681,4762912,1443.011715 +"Madagascar","Africa",1957,38.865,5181679,1589.20275 +"Madagascar","Africa",1962,40.848,5703324,1643.38711 +"Madagascar","Africa",1967,42.881,6334556,1634.047282 +"Madagascar","Africa",1972,44.851,7082430,1748.562982 +"Madagascar","Africa",1977,46.881,8007166,1544.228586 +"Madagascar","Africa",1982,48.969,9171477,1302.878658 +"Madagascar","Africa",1987,49.35,10568642,1155.441948 +"Madagascar","Africa",1992,52.214,12210395,1040.67619 +"Madagascar","Africa",1997,54.978,14165114,986.2958956 +"Madagascar","Africa",2002,57.286,16473477,894.6370822 +"Madagascar","Africa",2007,59.443,19167654,1044.770126 +"Malawi","Africa",1952,36.256,2917802,369.1650802 +"Malawi","Africa",1957,37.207,3221238,416.3698064 +"Malawi","Africa",1962,38.41,3628608,427.9010856 +"Malawi","Africa",1967,39.487,4147252,495.5147806 +"Malawi","Africa",1972,41.766,4730997,584.6219709 +"Malawi","Africa",1977,43.767,5637246,663.2236766 +"Malawi","Africa",1982,45.642,6502825,632.8039209 +"Malawi","Africa",1987,47.457,7824747,635.5173634 +"Malawi","Africa",1992,49.42,10014249,563.2000145 +"Malawi","Africa",1997,47.495,10419991,692.2758103 +"Malawi","Africa",2002,45.009,11824495,665.4231186 +"Malawi","Africa",2007,48.303,13327079,759.3499101 +"Malaysia","Asia",1952,48.463,6748378,1831.132894 +"Malaysia","Asia",1957,52.102,7739235,1810.066992 +"Malaysia","Asia",1962,55.737,8906385,2036.884944 +"Malaysia","Asia",1967,59.371,10154878,2277.742396 +"Malaysia","Asia",1972,63.01,11441462,2849.09478 +"Malaysia","Asia",1977,65.256,12845381,3827.921571 +"Malaysia","Asia",1982,68,14441916,4920.355951 +"Malaysia","Asia",1987,69.5,16331785,5249.802653 +"Malaysia","Asia",1992,70.693,18319502,7277.912802 +"Malaysia","Asia",1997,71.938,20476091,10132.90964 +"Malaysia","Asia",2002,73.044,22662365,10206.97794 +"Malaysia","Asia",2007,74.241,24821286,12451.6558 +"Mali","Africa",1952,33.685,3838168,452.3369807 +"Mali","Africa",1957,35.307,4241884,490.3821867 +"Mali","Africa",1962,36.936,4690372,496.1743428 +"Mali","Africa",1967,38.487,5212416,545.0098873 +"Mali","Africa",1972,39.977,5828158,581.3688761 +"Mali","Africa",1977,41.714,6491649,686.3952693 +"Mali","Africa",1982,43.916,6998256,618.0140641 +"Mali","Africa",1987,46.364,7634008,684.1715576 +"Mali","Africa",1992,48.388,8416215,739.014375 +"Mali","Africa",1997,49.903,9384984,790.2579846 +"Mali","Africa",2002,51.818,10580176,951.4097518 +"Mali","Africa",2007,54.467,12031795,1042.581557 +"Mauritania","Africa",1952,40.543,1022556,743.1159097 +"Mauritania","Africa",1957,42.338,1076852,846.1202613 +"Mauritania","Africa",1962,44.248,1146757,1055.896036 +"Mauritania","Africa",1967,46.289,1230542,1421.145193 +"Mauritania","Africa",1972,48.437,1332786,1586.851781 +"Mauritania","Africa",1977,50.852,1456688,1497.492223 +"Mauritania","Africa",1982,53.599,1622136,1481.150189 +"Mauritania","Africa",1987,56.145,1841240,1421.603576 +"Mauritania","Africa",1992,58.333,2119465,1361.369784 +"Mauritania","Africa",1997,60.43,2444741,1483.136136 +"Mauritania","Africa",2002,62.247,2828858,1579.019543 +"Mauritania","Africa",2007,64.164,3270065,1803.151496 +"Mauritius","Africa",1952,50.986,516556,1967.955707 +"Mauritius","Africa",1957,58.089,609816,2034.037981 +"Mauritius","Africa",1962,60.246,701016,2529.067487 +"Mauritius","Africa",1967,61.557,789309,2475.387562 +"Mauritius","Africa",1972,62.944,851334,2575.484158 +"Mauritius","Africa",1977,64.93,913025,3710.982963 +"Mauritius","Africa",1982,66.711,992040,3688.037739 +"Mauritius","Africa",1987,68.74,1042663,4783.586903 +"Mauritius","Africa",1992,69.745,1096202,6058.253846 +"Mauritius","Africa",1997,70.736,1149818,7425.705295 +"Mauritius","Africa",2002,71.954,1200206,9021.815894 +"Mauritius","Africa",2007,72.801,1250882,10956.99112 +"Mexico","Americas",1952,50.789,30144317,3478.125529 +"Mexico","Americas",1957,55.19,35015548,4131.546641 +"Mexico","Americas",1962,58.299,41121485,4581.609385 +"Mexico","Americas",1967,60.11,47995559,5754.733883 +"Mexico","Americas",1972,62.361,55984294,6809.40669 +"Mexico","Americas",1977,65.032,63759976,7674.929108 +"Mexico","Americas",1982,67.405,71640904,9611.147541 +"Mexico","Americas",1987,69.498,80122492,8688.156003 +"Mexico","Americas",1992,71.455,88111030,9472.384295 +"Mexico","Americas",1997,73.67,95895146,9767.29753 +"Mexico","Americas",2002,74.902,102479927,10742.44053 +"Mexico","Americas",2007,76.195,108700891,11977.57496 +"Mongolia","Asia",1952,42.244,800663,786.5668575 +"Mongolia","Asia",1957,45.248,882134,912.6626085 +"Mongolia","Asia",1962,48.251,1010280,1056.353958 +"Mongolia","Asia",1967,51.253,1149500,1226.04113 +"Mongolia","Asia",1972,53.754,1320500,1421.741975 +"Mongolia","Asia",1977,55.491,1528000,1647.511665 +"Mongolia","Asia",1982,57.489,1756032,2000.603139 +"Mongolia","Asia",1987,60.222,2015133,2338.008304 +"Mongolia","Asia",1992,61.271,2312802,1785.402016 +"Mongolia","Asia",1997,63.625,2494803,1902.2521 +"Mongolia","Asia",2002,65.033,2674234,2140.739323 +"Mongolia","Asia",2007,66.803,2874127,3095.772271 +"Montenegro","Europe",1952,59.164,413834,2647.585601 +"Montenegro","Europe",1957,61.448,442829,3682.259903 +"Montenegro","Europe",1962,63.728,474528,4649.593785 +"Montenegro","Europe",1967,67.178,501035,5907.850937 +"Montenegro","Europe",1972,70.636,527678,7778.414017 +"Montenegro","Europe",1977,73.066,560073,9595.929905 +"Montenegro","Europe",1982,74.101,562548,11222.58762 +"Montenegro","Europe",1987,74.865,569473,11732.51017 +"Montenegro","Europe",1992,75.435,621621,7003.339037 +"Montenegro","Europe",1997,75.445,692651,6465.613349 +"Montenegro","Europe",2002,73.981,720230,6557.194282 +"Montenegro","Europe",2007,74.543,684736,9253.896111 +"Morocco","Africa",1952,42.873,9939217,1688.20357 +"Morocco","Africa",1957,45.423,11406350,1642.002314 +"Morocco","Africa",1962,47.924,13056604,1566.353493 +"Morocco","Africa",1967,50.335,14770296,1711.04477 +"Morocco","Africa",1972,52.862,16660670,1930.194975 +"Morocco","Africa",1977,55.73,18396941,2370.619976 +"Morocco","Africa",1982,59.65,20198730,2702.620356 +"Morocco","Africa",1987,62.677,22987397,2755.046991 +"Morocco","Africa",1992,65.393,25798239,2948.047252 +"Morocco","Africa",1997,67.66,28529501,2982.101858 +"Morocco","Africa",2002,69.615,31167783,3258.495584 +"Morocco","Africa",2007,71.164,33757175,3820.17523 +"Mozambique","Africa",1952,31.286,6446316,468.5260381 +"Mozambique","Africa",1957,33.779,7038035,495.5868333 +"Mozambique","Africa",1962,36.161,7788944,556.6863539 +"Mozambique","Africa",1967,38.113,8680909,566.6691539 +"Mozambique","Africa",1972,40.328,9809596,724.9178037 +"Mozambique","Africa",1977,42.495,11127868,502.3197334 +"Mozambique","Africa",1982,42.795,12587223,462.2114149 +"Mozambique","Africa",1987,42.861,12891952,389.8761846 +"Mozambique","Africa",1992,44.284,13160731,410.8968239 +"Mozambique","Africa",1997,46.344,16603334,472.3460771 +"Mozambique","Africa",2002,44.026,18473780,633.6179466 +"Mozambique","Africa",2007,42.082,19951656,823.6856205 +"Myanmar","Asia",1952,36.319,20092996,331 +"Myanmar","Asia",1957,41.905,21731844,350 +"Myanmar","Asia",1962,45.108,23634436,388 +"Myanmar","Asia",1967,49.379,25870271,349 +"Myanmar","Asia",1972,53.07,28466390,357 +"Myanmar","Asia",1977,56.059,31528087,371 +"Myanmar","Asia",1982,58.056,34680442,424 +"Myanmar","Asia",1987,58.339,38028578,385 +"Myanmar","Asia",1992,59.32,40546538,347 +"Myanmar","Asia",1997,60.328,43247867,415 +"Myanmar","Asia",2002,59.908,45598081,611 +"Myanmar","Asia",2007,62.069,47761980,944 +"Namibia","Africa",1952,41.725,485831,2423.780443 +"Namibia","Africa",1957,45.226,548080,2621.448058 +"Namibia","Africa",1962,48.386,621392,3173.215595 +"Namibia","Africa",1967,51.159,706640,3793.694753 +"Namibia","Africa",1972,53.867,821782,3746.080948 +"Namibia","Africa",1977,56.437,977026,3876.485958 +"Namibia","Africa",1982,58.968,1099010,4191.100511 +"Namibia","Africa",1987,60.835,1278184,3693.731337 +"Namibia","Africa",1992,61.999,1554253,3804.537999 +"Namibia","Africa",1997,58.909,1774766,3899.52426 +"Namibia","Africa",2002,51.479,1972153,4072.324751 +"Namibia","Africa",2007,52.906,2055080,4811.060429 +"Nepal","Asia",1952,36.157,9182536,545.8657229 +"Nepal","Asia",1957,37.686,9682338,597.9363558 +"Nepal","Asia",1962,39.393,10332057,652.3968593 +"Nepal","Asia",1967,41.472,11261690,676.4422254 +"Nepal","Asia",1972,43.971,12412593,674.7881296 +"Nepal","Asia",1977,46.748,13933198,694.1124398 +"Nepal","Asia",1982,49.594,15796314,718.3730947 +"Nepal","Asia",1987,52.537,17917180,775.6324501 +"Nepal","Asia",1992,55.727,20326209,897.7403604 +"Nepal","Asia",1997,59.426,23001113,1010.892138 +"Nepal","Asia",2002,61.34,25873917,1057.206311 +"Nepal","Asia",2007,63.785,28901790,1091.359778 +"Netherlands","Europe",1952,72.13,10381988,8941.571858 +"Netherlands","Europe",1957,72.99,11026383,11276.19344 +"Netherlands","Europe",1962,73.23,11805689,12790.84956 +"Netherlands","Europe",1967,73.82,12596822,15363.25136 +"Netherlands","Europe",1972,73.75,13329874,18794.74567 +"Netherlands","Europe",1977,75.24,13852989,21209.0592 +"Netherlands","Europe",1982,76.05,14310401,21399.46046 +"Netherlands","Europe",1987,76.83,14665278,23651.32361 +"Netherlands","Europe",1992,77.42,15174244,26790.94961 +"Netherlands","Europe",1997,78.03,15604464,30246.13063 +"Netherlands","Europe",2002,78.53,16122830,33724.75778 +"Netherlands","Europe",2007,79.762,16570613,36797.93332 +"New Zealand","Oceania",1952,69.39,1994794,10556.57566 +"New Zealand","Oceania",1957,70.26,2229407,12247.39532 +"New Zealand","Oceania",1962,71.24,2488550,13175.678 +"New Zealand","Oceania",1967,71.52,2728150,14463.91893 +"New Zealand","Oceania",1972,71.89,2929100,16046.03728 +"New Zealand","Oceania",1977,72.22,3164900,16233.7177 +"New Zealand","Oceania",1982,73.84,3210650,17632.4104 +"New Zealand","Oceania",1987,74.32,3317166,19007.19129 +"New Zealand","Oceania",1992,76.33,3437674,18363.32494 +"New Zealand","Oceania",1997,77.55,3676187,21050.41377 +"New Zealand","Oceania",2002,79.11,3908037,23189.80135 +"New Zealand","Oceania",2007,80.204,4115771,25185.00911 +"Nicaragua","Americas",1952,42.314,1165790,3112.363948 +"Nicaragua","Americas",1957,45.432,1358828,3457.415947 +"Nicaragua","Americas",1962,48.632,1590597,3634.364406 +"Nicaragua","Americas",1967,51.884,1865490,4643.393534 +"Nicaragua","Americas",1972,55.151,2182908,4688.593267 +"Nicaragua","Americas",1977,57.47,2554598,5486.371089 +"Nicaragua","Americas",1982,59.298,2979423,3470.338156 +"Nicaragua","Americas",1987,62.008,3344353,2955.984375 +"Nicaragua","Americas",1992,65.843,4017939,2170.151724 +"Nicaragua","Americas",1997,68.426,4609572,2253.023004 +"Nicaragua","Americas",2002,70.836,5146848,2474.548819 +"Nicaragua","Americas",2007,72.899,5675356,2749.320965 +"Niger","Africa",1952,37.444,3379468,761.879376 +"Niger","Africa",1957,38.598,3692184,835.5234025 +"Niger","Africa",1962,39.487,4076008,997.7661127 +"Niger","Africa",1967,40.118,4534062,1054.384891 +"Niger","Africa",1972,40.546,5060262,954.2092363 +"Niger","Africa",1977,41.291,5682086,808.8970728 +"Niger","Africa",1982,42.598,6437188,909.7221354 +"Niger","Africa",1987,44.555,7332638,668.3000228 +"Niger","Africa",1992,47.391,8392818,581.182725 +"Niger","Africa",1997,51.313,9666252,580.3052092 +"Niger","Africa",2002,54.496,11140655,601.0745012 +"Niger","Africa",2007,56.867,12894865,619.6768924 +"Nigeria","Africa",1952,36.324,33119096,1077.281856 +"Nigeria","Africa",1957,37.802,37173340,1100.592563 +"Nigeria","Africa",1962,39.36,41871351,1150.927478 +"Nigeria","Africa",1967,41.04,47287752,1014.514104 +"Nigeria","Africa",1972,42.821,53740085,1698.388838 +"Nigeria","Africa",1977,44.514,62209173,1981.951806 +"Nigeria","Africa",1982,45.826,73039376,1576.97375 +"Nigeria","Africa",1987,46.886,81551520,1385.029563 +"Nigeria","Africa",1992,47.472,93364244,1619.848217 +"Nigeria","Africa",1997,47.464,106207839,1624.941275 +"Nigeria","Africa",2002,46.608,119901274,1615.286395 +"Nigeria","Africa",2007,46.859,135031164,2013.977305 +"Norway","Europe",1952,72.67,3327728,10095.42172 +"Norway","Europe",1957,73.44,3491938,11653.97304 +"Norway","Europe",1962,73.47,3638919,13450.40151 +"Norway","Europe",1967,74.08,3786019,16361.87647 +"Norway","Europe",1972,74.34,3933004,18965.05551 +"Norway","Europe",1977,75.37,4043205,23311.34939 +"Norway","Europe",1982,75.97,4114787,26298.63531 +"Norway","Europe",1987,75.89,4186147,31540.9748 +"Norway","Europe",1992,77.32,4286357,33965.66115 +"Norway","Europe",1997,78.32,4405672,41283.16433 +"Norway","Europe",2002,79.05,4535591,44683.97525 +"Norway","Europe",2007,80.196,4627926,49357.19017 +"Oman","Asia",1952,37.578,507833,1828.230307 +"Oman","Asia",1957,40.08,561977,2242.746551 +"Oman","Asia",1962,43.165,628164,2924.638113 +"Oman","Asia",1967,46.988,714775,4720.942687 +"Oman","Asia",1972,52.143,829050,10618.03855 +"Oman","Asia",1977,57.367,1004533,11848.34392 +"Oman","Asia",1982,62.728,1301048,12954.79101 +"Oman","Asia",1987,67.734,1593882,18115.22313 +"Oman","Asia",1992,71.197,1915208,18616.70691 +"Oman","Asia",1997,72.499,2283635,19702.05581 +"Oman","Asia",2002,74.193,2713462,19774.83687 +"Oman","Asia",2007,75.64,3204897,22316.19287 +"Pakistan","Asia",1952,43.436,41346560,684.5971438 +"Pakistan","Asia",1957,45.557,46679944,747.0835292 +"Pakistan","Asia",1962,47.67,53100671,803.3427418 +"Pakistan","Asia",1967,49.8,60641899,942.4082588 +"Pakistan","Asia",1972,51.929,69325921,1049.938981 +"Pakistan","Asia",1977,54.043,78152686,1175.921193 +"Pakistan","Asia",1982,56.158,91462088,1443.429832 +"Pakistan","Asia",1987,58.245,105186881,1704.686583 +"Pakistan","Asia",1992,60.838,120065004,1971.829464 +"Pakistan","Asia",1997,61.818,135564834,2049.350521 +"Pakistan","Asia",2002,63.61,153403524,2092.712441 +"Pakistan","Asia",2007,65.483,169270617,2605.94758 +"Panama","Americas",1952,55.191,940080,2480.380334 +"Panama","Americas",1957,59.201,1063506,2961.800905 +"Panama","Americas",1962,61.817,1215725,3536.540301 +"Panama","Americas",1967,64.071,1405486,4421.009084 +"Panama","Americas",1972,66.216,1616384,5364.249663 +"Panama","Americas",1977,68.681,1839782,5351.912144 +"Panama","Americas",1982,70.472,2036305,7009.601598 +"Panama","Americas",1987,71.523,2253639,7034.779161 +"Panama","Americas",1992,72.462,2484997,6618.74305 +"Panama","Americas",1997,73.738,2734531,7113.692252 +"Panama","Americas",2002,74.712,2990875,7356.031934 +"Panama","Americas",2007,75.537,3242173,9809.185636 +"Paraguay","Americas",1952,62.649,1555876,1952.308701 +"Paraguay","Americas",1957,63.196,1770902,2046.154706 +"Paraguay","Americas",1962,64.361,2009813,2148.027146 +"Paraguay","Americas",1967,64.951,2287985,2299.376311 +"Paraguay","Americas",1972,65.815,2614104,2523.337977 +"Paraguay","Americas",1977,66.353,2984494,3248.373311 +"Paraguay","Americas",1982,66.874,3366439,4258.503604 +"Paraguay","Americas",1987,67.378,3886512,3998.875695 +"Paraguay","Americas",1992,68.225,4483945,4196.411078 +"Paraguay","Americas",1997,69.4,5154123,4247.400261 +"Paraguay","Americas",2002,70.755,5884491,3783.674243 +"Paraguay","Americas",2007,71.752,6667147,4172.838464 +"Peru","Americas",1952,43.902,8025700,3758.523437 +"Peru","Americas",1957,46.263,9146100,4245.256698 +"Peru","Americas",1962,49.096,10516500,4957.037982 +"Peru","Americas",1967,51.445,12132200,5788.09333 +"Peru","Americas",1972,55.448,13954700,5937.827283 +"Peru","Americas",1977,58.447,15990099,6281.290855 +"Peru","Americas",1982,61.406,18125129,6434.501797 +"Peru","Americas",1987,64.134,20195924,6360.943444 +"Peru","Americas",1992,66.458,22430449,4446.380924 +"Peru","Americas",1997,68.386,24748122,5838.347657 +"Peru","Americas",2002,69.906,26769436,5909.020073 +"Peru","Americas",2007,71.421,28674757,7408.905561 +"Philippines","Asia",1952,47.752,22438691,1272.880995 +"Philippines","Asia",1957,51.334,26072194,1547.944844 +"Philippines","Asia",1962,54.757,30325264,1649.552153 +"Philippines","Asia",1967,56.393,35356600,1814.12743 +"Philippines","Asia",1972,58.065,40850141,1989.37407 +"Philippines","Asia",1977,60.06,46850962,2373.204287 +"Philippines","Asia",1982,62.082,53456774,2603.273765 +"Philippines","Asia",1987,64.151,60017788,2189.634995 +"Philippines","Asia",1992,66.458,67185766,2279.324017 +"Philippines","Asia",1997,68.564,75012988,2536.534925 +"Philippines","Asia",2002,70.303,82995088,2650.921068 +"Philippines","Asia",2007,71.688,91077287,3190.481016 +"Poland","Europe",1952,61.31,25730551,4029.329699 +"Poland","Europe",1957,65.77,28235346,4734.253019 +"Poland","Europe",1962,67.64,30329617,5338.752143 +"Poland","Europe",1967,69.61,31785378,6557.152776 +"Poland","Europe",1972,70.85,33039545,8006.506993 +"Poland","Europe",1977,70.67,34621254,9508.141454 +"Poland","Europe",1982,71.32,36227381,8451.531004 +"Poland","Europe",1987,70.98,37740710,9082.351172 +"Poland","Europe",1992,70.99,38370697,7738.881247 +"Poland","Europe",1997,72.75,38654957,10159.58368 +"Poland","Europe",2002,74.67,38625976,12002.23908 +"Poland","Europe",2007,75.563,38518241,15389.92468 +"Portugal","Europe",1952,59.82,8526050,3068.319867 +"Portugal","Europe",1957,61.51,8817650,3774.571743 +"Portugal","Europe",1962,64.39,9019800,4727.954889 +"Portugal","Europe",1967,66.6,9103000,6361.517993 +"Portugal","Europe",1972,69.26,8970450,9022.247417 +"Portugal","Europe",1977,70.41,9662600,10172.48572 +"Portugal","Europe",1982,72.77,9859650,11753.84291 +"Portugal","Europe",1987,74.06,9915289,13039.30876 +"Portugal","Europe",1992,74.86,9927680,16207.26663 +"Portugal","Europe",1997,75.97,10156415,17641.03156 +"Portugal","Europe",2002,77.29,10433867,19970.90787 +"Portugal","Europe",2007,78.098,10642836,20509.64777 +"Puerto Rico","Americas",1952,64.28,2227000,3081.959785 +"Puerto Rico","Americas",1957,68.54,2260000,3907.156189 +"Puerto Rico","Americas",1962,69.62,2448046,5108.34463 +"Puerto Rico","Americas",1967,71.1,2648961,6929.277714 +"Puerto Rico","Americas",1972,72.16,2847132,9123.041742 +"Puerto Rico","Americas",1977,73.44,3080828,9770.524921 +"Puerto Rico","Americas",1982,73.75,3279001,10330.98915 +"Puerto Rico","Americas",1987,74.63,3444468,12281.34191 +"Puerto Rico","Americas",1992,73.911,3585176,14641.58711 +"Puerto Rico","Americas",1997,74.917,3759430,16999.4333 +"Puerto Rico","Americas",2002,77.778,3859606,18855.60618 +"Puerto Rico","Americas",2007,78.746,3942491,19328.70901 +"Reunion","Africa",1952,52.724,257700,2718.885295 +"Reunion","Africa",1957,55.09,308700,2769.451844 +"Reunion","Africa",1962,57.666,358900,3173.72334 +"Reunion","Africa",1967,60.542,414024,4021.175739 +"Reunion","Africa",1972,64.274,461633,5047.658563 +"Reunion","Africa",1977,67.064,492095,4319.804067 +"Reunion","Africa",1982,69.885,517810,5267.219353 +"Reunion","Africa",1987,71.913,562035,5303.377488 +"Reunion","Africa",1992,73.615,622191,6101.255823 +"Reunion","Africa",1997,74.772,684810,6071.941411 +"Reunion","Africa",2002,75.744,743981,6316.1652 +"Reunion","Africa",2007,76.442,798094,7670.122558 +"Romania","Europe",1952,61.05,16630000,3144.613186 +"Romania","Europe",1957,64.1,17829327,3943.370225 +"Romania","Europe",1962,66.8,18680721,4734.997586 +"Romania","Europe",1967,66.8,19284814,6470.866545 +"Romania","Europe",1972,69.21,20662648,8011.414402 +"Romania","Europe",1977,69.46,21658597,9356.39724 +"Romania","Europe",1982,69.66,22356726,9605.314053 +"Romania","Europe",1987,69.53,22686371,9696.273295 +"Romania","Europe",1992,69.36,22797027,6598.409903 +"Romania","Europe",1997,69.72,22562458,7346.547557 +"Romania","Europe",2002,71.322,22404337,7885.360081 +"Romania","Europe",2007,72.476,22276056,10808.47561 +"Rwanda","Africa",1952,40,2534927,493.3238752 +"Rwanda","Africa",1957,41.5,2822082,540.2893983 +"Rwanda","Africa",1962,43,3051242,597.4730727 +"Rwanda","Africa",1967,44.1,3451079,510.9637142 +"Rwanda","Africa",1972,44.6,3992121,590.5806638 +"Rwanda","Africa",1977,45,4657072,670.0806011 +"Rwanda","Africa",1982,46.218,5507565,881.5706467 +"Rwanda","Africa",1987,44.02,6349365,847.991217 +"Rwanda","Africa",1992,23.599,7290203,737.0685949 +"Rwanda","Africa",1997,36.087,7212583,589.9445051 +"Rwanda","Africa",2002,43.413,7852401,785.6537648 +"Rwanda","Africa",2007,46.242,8860588,863.0884639 +"Sao Tome and Principe","Africa",1952,46.471,60011,879.5835855 +"Sao Tome and Principe","Africa",1957,48.945,61325,860.7369026 +"Sao Tome and Principe","Africa",1962,51.893,65345,1071.551119 +"Sao Tome and Principe","Africa",1967,54.425,70787,1384.840593 +"Sao Tome and Principe","Africa",1972,56.48,76595,1532.985254 +"Sao Tome and Principe","Africa",1977,58.55,86796,1737.561657 +"Sao Tome and Principe","Africa",1982,60.351,98593,1890.218117 +"Sao Tome and Principe","Africa",1987,61.728,110812,1516.525457 +"Sao Tome and Principe","Africa",1992,62.742,125911,1428.777814 +"Sao Tome and Principe","Africa",1997,63.306,145608,1339.076036 +"Sao Tome and Principe","Africa",2002,64.337,170372,1353.09239 +"Sao Tome and Principe","Africa",2007,65.528,199579,1598.435089 +"Saudi Arabia","Asia",1952,39.875,4005677,6459.554823 +"Saudi Arabia","Asia",1957,42.868,4419650,8157.591248 +"Saudi Arabia","Asia",1962,45.914,4943029,11626.41975 +"Saudi Arabia","Asia",1967,49.901,5618198,16903.04886 +"Saudi Arabia","Asia",1972,53.886,6472756,24837.42865 +"Saudi Arabia","Asia",1977,58.69,8128505,34167.7626 +"Saudi Arabia","Asia",1982,63.012,11254672,33693.17525 +"Saudi Arabia","Asia",1987,66.295,14619745,21198.26136 +"Saudi Arabia","Asia",1992,68.768,16945857,24841.61777 +"Saudi Arabia","Asia",1997,70.533,21229759,20586.69019 +"Saudi Arabia","Asia",2002,71.626,24501530,19014.54118 +"Saudi Arabia","Asia",2007,72.777,27601038,21654.83194 +"Senegal","Africa",1952,37.278,2755589,1450.356983 +"Senegal","Africa",1957,39.329,3054547,1567.653006 +"Senegal","Africa",1962,41.454,3430243,1654.988723 +"Senegal","Africa",1967,43.563,3965841,1612.404632 +"Senegal","Africa",1972,45.815,4588696,1597.712056 +"Senegal","Africa",1977,48.879,5260855,1561.769116 +"Senegal","Africa",1982,52.379,6147783,1518.479984 +"Senegal","Africa",1987,55.769,7171347,1441.72072 +"Senegal","Africa",1992,58.196,8307920,1367.899369 +"Senegal","Africa",1997,60.187,9535314,1392.368347 +"Senegal","Africa",2002,61.6,10870037,1519.635262 +"Senegal","Africa",2007,63.062,12267493,1712.472136 +"Serbia","Europe",1952,57.996,6860147,3581.459448 +"Serbia","Europe",1957,61.685,7271135,4981.090891 +"Serbia","Europe",1962,64.531,7616060,6289.629157 +"Serbia","Europe",1967,66.914,7971222,7991.707066 +"Serbia","Europe",1972,68.7,8313288,10522.06749 +"Serbia","Europe",1977,70.3,8686367,12980.66956 +"Serbia","Europe",1982,70.162,9032824,15181.0927 +"Serbia","Europe",1987,71.218,9230783,15870.87851 +"Serbia","Europe",1992,71.659,9826397,9325.068238 +"Serbia","Europe",1997,72.232,10336594,7914.320304 +"Serbia","Europe",2002,73.213,10111559,7236.075251 +"Serbia","Europe",2007,74.002,10150265,9786.534714 +"Sierra Leone","Africa",1952,30.331,2143249,879.7877358 +"Sierra Leone","Africa",1957,31.57,2295678,1004.484437 +"Sierra Leone","Africa",1962,32.767,2467895,1116.639877 +"Sierra Leone","Africa",1967,34.113,2662190,1206.043465 +"Sierra Leone","Africa",1972,35.4,2879013,1353.759762 +"Sierra Leone","Africa",1977,36.788,3140897,1348.285159 +"Sierra Leone","Africa",1982,38.445,3464522,1465.010784 +"Sierra Leone","Africa",1987,40.006,3868905,1294.447788 +"Sierra Leone","Africa",1992,38.333,4260884,1068.696278 +"Sierra Leone","Africa",1997,39.897,4578212,574.6481576 +"Sierra Leone","Africa",2002,41.012,5359092,699.489713 +"Sierra Leone","Africa",2007,42.568,6144562,862.5407561 +"Singapore","Asia",1952,60.396,1127000,2315.138227 +"Singapore","Asia",1957,63.179,1445929,2843.104409 +"Singapore","Asia",1962,65.798,1750200,3674.735572 +"Singapore","Asia",1967,67.946,1977600,4977.41854 +"Singapore","Asia",1972,69.521,2152400,8597.756202 +"Singapore","Asia",1977,70.795,2325300,11210.08948 +"Singapore","Asia",1982,71.76,2651869,15169.16112 +"Singapore","Asia",1987,73.56,2794552,18861.53081 +"Singapore","Asia",1992,75.788,3235865,24769.8912 +"Singapore","Asia",1997,77.158,3802309,33519.4766 +"Singapore","Asia",2002,78.77,4197776,36023.1054 +"Singapore","Asia",2007,79.972,4553009,47143.17964 +"Slovak Republic","Europe",1952,64.36,3558137,5074.659104 +"Slovak Republic","Europe",1957,67.45,3844277,6093.26298 +"Slovak Republic","Europe",1962,70.33,4237384,7481.107598 +"Slovak Republic","Europe",1967,70.98,4442238,8412.902397 +"Slovak Republic","Europe",1972,70.35,4593433,9674.167626 +"Slovak Republic","Europe",1977,70.45,4827803,10922.66404 +"Slovak Republic","Europe",1982,70.8,5048043,11348.54585 +"Slovak Republic","Europe",1987,71.08,5199318,12037.26758 +"Slovak Republic","Europe",1992,71.38,5302888,9498.467723 +"Slovak Republic","Europe",1997,72.71,5383010,12126.23065 +"Slovak Republic","Europe",2002,73.8,5410052,13638.77837 +"Slovak Republic","Europe",2007,74.663,5447502,18678.31435 +"Slovenia","Europe",1952,65.57,1489518,4215.041741 +"Slovenia","Europe",1957,67.85,1533070,5862.276629 +"Slovenia","Europe",1962,69.15,1582962,7402.303395 +"Slovenia","Europe",1967,69.18,1646912,9405.489397 +"Slovenia","Europe",1972,69.82,1694510,12383.4862 +"Slovenia","Europe",1977,70.97,1746919,15277.03017 +"Slovenia","Europe",1982,71.063,1861252,17866.72175 +"Slovenia","Europe",1987,72.25,1945870,18678.53492 +"Slovenia","Europe",1992,73.64,1999210,14214.71681 +"Slovenia","Europe",1997,75.13,2011612,17161.10735 +"Slovenia","Europe",2002,76.66,2011497,20660.01936 +"Slovenia","Europe",2007,77.926,2009245,25768.25759 +"Somalia","Africa",1952,32.978,2526994,1135.749842 +"Somalia","Africa",1957,34.977,2780415,1258.147413 +"Somalia","Africa",1962,36.981,3080153,1369.488336 +"Somalia","Africa",1967,38.977,3428839,1284.73318 +"Somalia","Africa",1972,40.973,3840161,1254.576127 +"Somalia","Africa",1977,41.974,4353666,1450.992513 +"Somalia","Africa",1982,42.955,5828892,1176.807031 +"Somalia","Africa",1987,44.501,6921858,1093.244963 +"Somalia","Africa",1992,39.658,6099799,926.9602964 +"Somalia","Africa",1997,43.795,6633514,930.5964284 +"Somalia","Africa",2002,45.936,7753310,882.0818218 +"Somalia","Africa",2007,48.159,9118773,926.1410683 +"South Africa","Africa",1952,45.009,14264935,4725.295531 +"South Africa","Africa",1957,47.985,16151549,5487.104219 +"South Africa","Africa",1962,49.951,18356657,5768.729717 +"South Africa","Africa",1967,51.927,20997321,7114.477971 +"South Africa","Africa",1972,53.696,23935810,7765.962636 +"South Africa","Africa",1977,55.527,27129932,8028.651439 +"South Africa","Africa",1982,58.161,31140029,8568.266228 +"South Africa","Africa",1987,60.834,35933379,7825.823398 +"South Africa","Africa",1992,61.888,39964159,7225.069258 +"South Africa","Africa",1997,60.236,42835005,7479.188244 +"South Africa","Africa",2002,53.365,44433622,7710.946444 +"South Africa","Africa",2007,49.339,43997828,9269.657808 +"Spain","Europe",1952,64.94,28549870,3834.034742 +"Spain","Europe",1957,66.66,29841614,4564.80241 +"Spain","Europe",1962,69.69,31158061,5693.843879 +"Spain","Europe",1967,71.44,32850275,7993.512294 +"Spain","Europe",1972,73.06,34513161,10638.75131 +"Spain","Europe",1977,74.39,36439000,13236.92117 +"Spain","Europe",1982,76.3,37983310,13926.16997 +"Spain","Europe",1987,76.9,38880702,15764.98313 +"Spain","Europe",1992,77.57,39549438,18603.06452 +"Spain","Europe",1997,78.77,39855442,20445.29896 +"Spain","Europe",2002,79.78,40152517,24835.47166 +"Spain","Europe",2007,80.941,40448191,28821.0637 +"Sri Lanka","Asia",1952,57.593,7982342,1083.53203 +"Sri Lanka","Asia",1957,61.456,9128546,1072.546602 +"Sri Lanka","Asia",1962,62.192,10421936,1074.47196 +"Sri Lanka","Asia",1967,64.266,11737396,1135.514326 +"Sri Lanka","Asia",1972,65.042,13016733,1213.39553 +"Sri Lanka","Asia",1977,65.949,14116836,1348.775651 +"Sri Lanka","Asia",1982,68.757,15410151,1648.079789 +"Sri Lanka","Asia",1987,69.011,16495304,1876.766827 +"Sri Lanka","Asia",1992,70.379,17587060,2153.739222 +"Sri Lanka","Asia",1997,70.457,18698655,2664.477257 +"Sri Lanka","Asia",2002,70.815,19576783,3015.378833 +"Sri Lanka","Asia",2007,72.396,20378239,3970.095407 +"Sudan","Africa",1952,38.635,8504667,1615.991129 +"Sudan","Africa",1957,39.624,9753392,1770.337074 +"Sudan","Africa",1962,40.87,11183227,1959.593767 +"Sudan","Africa",1967,42.858,12716129,1687.997641 +"Sudan","Africa",1972,45.083,14597019,1659.652775 +"Sudan","Africa",1977,47.8,17104986,2202.988423 +"Sudan","Africa",1982,50.338,20367053,1895.544073 +"Sudan","Africa",1987,51.744,24725960,1507.819159 +"Sudan","Africa",1992,53.556,28227588,1492.197043 +"Sudan","Africa",1997,55.373,32160729,1632.210764 +"Sudan","Africa",2002,56.369,37090298,1993.398314 +"Sudan","Africa",2007,58.556,42292929,2602.394995 +"Swaziland","Africa",1952,41.407,290243,1148.376626 +"Swaziland","Africa",1957,43.424,326741,1244.708364 +"Swaziland","Africa",1962,44.992,370006,1856.182125 +"Swaziland","Africa",1967,46.633,420690,2613.101665 +"Swaziland","Africa",1972,49.552,480105,3364.836625 +"Swaziland","Africa",1977,52.537,551425,3781.410618 +"Swaziland","Africa",1982,55.561,649901,3895.384018 +"Swaziland","Africa",1987,57.678,779348,3984.839812 +"Swaziland","Africa",1992,58.474,962344,3553.0224 +"Swaziland","Africa",1997,54.289,1054486,3876.76846 +"Swaziland","Africa",2002,43.869,1130269,4128.116943 +"Swaziland","Africa",2007,39.613,1133066,4513.480643 +"Sweden","Europe",1952,71.86,7124673,8527.844662 +"Sweden","Europe",1957,72.49,7363802,9911.878226 +"Sweden","Europe",1962,73.37,7561588,12329.44192 +"Sweden","Europe",1967,74.16,7867931,15258.29697 +"Sweden","Europe",1972,74.72,8122293,17832.02464 +"Sweden","Europe",1977,75.44,8251648,18855.72521 +"Sweden","Europe",1982,76.42,8325260,20667.38125 +"Sweden","Europe",1987,77.19,8421403,23586.92927 +"Sweden","Europe",1992,78.16,8718867,23880.01683 +"Sweden","Europe",1997,79.39,8897619,25266.59499 +"Sweden","Europe",2002,80.04,8954175,29341.63093 +"Sweden","Europe",2007,80.884,9031088,33859.74835 +"Switzerland","Europe",1952,69.62,4815000,14734.23275 +"Switzerland","Europe",1957,70.56,5126000,17909.48973 +"Switzerland","Europe",1962,71.32,5666000,20431.0927 +"Switzerland","Europe",1967,72.77,6063000,22966.14432 +"Switzerland","Europe",1972,73.78,6401400,27195.11304 +"Switzerland","Europe",1977,75.39,6316424,26982.29052 +"Switzerland","Europe",1982,76.21,6468126,28397.71512 +"Switzerland","Europe",1987,77.41,6649942,30281.70459 +"Switzerland","Europe",1992,78.03,6995447,31871.5303 +"Switzerland","Europe",1997,79.37,7193761,32135.32301 +"Switzerland","Europe",2002,80.62,7361757,34480.95771 +"Switzerland","Europe",2007,81.701,7554661,37506.41907 +"Syria","Asia",1952,45.883,3661549,1643.485354 +"Syria","Asia",1957,48.284,4149908,2117.234893 +"Syria","Asia",1962,50.305,4834621,2193.037133 +"Syria","Asia",1967,53.655,5680812,1881.923632 +"Syria","Asia",1972,57.296,6701172,2571.423014 +"Syria","Asia",1977,61.195,7932503,3195.484582 +"Syria","Asia",1982,64.59,9410494,3761.837715 +"Syria","Asia",1987,66.974,11242847,3116.774285 +"Syria","Asia",1992,69.249,13219062,3340.542768 +"Syria","Asia",1997,71.527,15081016,4014.238972 +"Syria","Asia",2002,73.053,17155814,4090.925331 +"Syria","Asia",2007,74.143,19314747,4184.548089 +"Taiwan","Asia",1952,58.5,8550362,1206.947913 +"Taiwan","Asia",1957,62.4,10164215,1507.86129 +"Taiwan","Asia",1962,65.2,11918938,1822.879028 +"Taiwan","Asia",1967,67.5,13648692,2643.858681 +"Taiwan","Asia",1972,69.39,15226039,4062.523897 +"Taiwan","Asia",1977,70.59,16785196,5596.519826 +"Taiwan","Asia",1982,72.16,18501390,7426.354774 +"Taiwan","Asia",1987,73.4,19757799,11054.56175 +"Taiwan","Asia",1992,74.26,20686918,15215.6579 +"Taiwan","Asia",1997,75.25,21628605,20206.82098 +"Taiwan","Asia",2002,76.99,22454239,23235.42329 +"Taiwan","Asia",2007,78.4,23174294,28718.27684 +"Tanzania","Africa",1952,41.215,8322925,716.6500721 +"Tanzania","Africa",1957,42.974,9452826,698.5356073 +"Tanzania","Africa",1962,44.246,10863958,722.0038073 +"Tanzania","Africa",1967,45.757,12607312,848.2186575 +"Tanzania","Africa",1972,47.62,14706593,915.9850592 +"Tanzania","Africa",1977,49.919,17129565,962.4922932 +"Tanzania","Africa",1982,50.608,19844382,874.2426069 +"Tanzania","Africa",1987,51.535,23040630,831.8220794 +"Tanzania","Africa",1992,50.44,26605473,825.682454 +"Tanzania","Africa",1997,48.466,30686889,789.1862231 +"Tanzania","Africa",2002,49.651,34593779,899.0742111 +"Tanzania","Africa",2007,52.517,38139640,1107.482182 +"Thailand","Asia",1952,50.848,21289402,757.7974177 +"Thailand","Asia",1957,53.63,25041917,793.5774148 +"Thailand","Asia",1962,56.061,29263397,1002.199172 +"Thailand","Asia",1967,58.285,34024249,1295.46066 +"Thailand","Asia",1972,60.405,39276153,1524.358936 +"Thailand","Asia",1977,62.494,44148285,1961.224635 +"Thailand","Asia",1982,64.597,48827160,2393.219781 +"Thailand","Asia",1987,66.084,52910342,2982.653773 +"Thailand","Asia",1992,67.298,56667095,4616.896545 +"Thailand","Asia",1997,67.521,60216677,5852.625497 +"Thailand","Asia",2002,68.564,62806748,5913.187529 +"Thailand","Asia",2007,70.616,65068149,7458.396327 +"Togo","Africa",1952,38.596,1219113,859.8086567 +"Togo","Africa",1957,41.208,1357445,925.9083202 +"Togo","Africa",1962,43.922,1528098,1067.53481 +"Togo","Africa",1967,46.769,1735550,1477.59676 +"Togo","Africa",1972,49.759,2056351,1649.660188 +"Togo","Africa",1977,52.887,2308582,1532.776998 +"Togo","Africa",1982,55.471,2644765,1344.577953 +"Togo","Africa",1987,56.941,3154264,1202.201361 +"Togo","Africa",1992,58.061,3747553,1034.298904 +"Togo","Africa",1997,58.39,4320890,982.2869243 +"Togo","Africa",2002,57.561,4977378,886.2205765 +"Togo","Africa",2007,58.42,5701579,882.9699438 +"Trinidad and Tobago","Americas",1952,59.1,662850,3023.271928 +"Trinidad and Tobago","Americas",1957,61.8,764900,4100.3934 +"Trinidad and Tobago","Americas",1962,64.9,887498,4997.523971 +"Trinidad and Tobago","Americas",1967,65.4,960155,5621.368472 +"Trinidad and Tobago","Americas",1972,65.9,975199,6619.551419 +"Trinidad and Tobago","Americas",1977,68.3,1039009,7899.554209 +"Trinidad and Tobago","Americas",1982,68.832,1116479,9119.528607 +"Trinidad and Tobago","Americas",1987,69.582,1191336,7388.597823 +"Trinidad and Tobago","Americas",1992,69.862,1183669,7370.990932 +"Trinidad and Tobago","Americas",1997,69.465,1138101,8792.573126 +"Trinidad and Tobago","Americas",2002,68.976,1101832,11460.60023 +"Trinidad and Tobago","Americas",2007,69.819,1056608,18008.50924 +"Tunisia","Africa",1952,44.6,3647735,1468.475631 +"Tunisia","Africa",1957,47.1,3950849,1395.232468 +"Tunisia","Africa",1962,49.579,4286552,1660.30321 +"Tunisia","Africa",1967,52.053,4786986,1932.360167 +"Tunisia","Africa",1972,55.602,5303507,2753.285994 +"Tunisia","Africa",1977,59.837,6005061,3120.876811 +"Tunisia","Africa",1982,64.048,6734098,3560.233174 +"Tunisia","Africa",1987,66.894,7724976,3810.419296 +"Tunisia","Africa",1992,70.001,8523077,4332.720164 +"Tunisia","Africa",1997,71.973,9231669,4876.798614 +"Tunisia","Africa",2002,73.042,9770575,5722.895655 +"Tunisia","Africa",2007,73.923,10276158,7092.923025 +"Turkey","Europe",1952,43.585,22235677,1969.10098 +"Turkey","Europe",1957,48.079,25670939,2218.754257 +"Turkey","Europe",1962,52.098,29788695,2322.869908 +"Turkey","Europe",1967,54.336,33411317,2826.356387 +"Turkey","Europe",1972,57.005,37492953,3450.69638 +"Turkey","Europe",1977,59.507,42404033,4269.122326 +"Turkey","Europe",1982,61.036,47328791,4241.356344 +"Turkey","Europe",1987,63.108,52881328,5089.043686 +"Turkey","Europe",1992,66.146,58179144,5678.348271 +"Turkey","Europe",1997,68.835,63047647,6601.429915 +"Turkey","Europe",2002,70.845,67308928,6508.085718 +"Turkey","Europe",2007,71.777,71158647,8458.276384 +"Uganda","Africa",1952,39.978,5824797,734.753484 +"Uganda","Africa",1957,42.571,6675501,774.3710692 +"Uganda","Africa",1962,45.344,7688797,767.2717398 +"Uganda","Africa",1967,48.051,8900294,908.9185217 +"Uganda","Africa",1972,51.016,10190285,950.735869 +"Uganda","Africa",1977,50.35,11457758,843.7331372 +"Uganda","Africa",1982,49.849,12939400,682.2662268 +"Uganda","Africa",1987,51.509,15283050,617.7244065 +"Uganda","Africa",1992,48.825,18252190,644.1707969 +"Uganda","Africa",1997,44.578,21210254,816.559081 +"Uganda","Africa",2002,47.813,24739869,927.7210018 +"Uganda","Africa",2007,51.542,29170398,1056.380121 +"United Kingdom","Europe",1952,69.18,50430000,9979.508487 +"United Kingdom","Europe",1957,70.42,51430000,11283.17795 +"United Kingdom","Europe",1962,70.76,53292000,12477.17707 +"United Kingdom","Europe",1967,71.36,54959000,14142.85089 +"United Kingdom","Europe",1972,72.01,56079000,15895.11641 +"United Kingdom","Europe",1977,72.76,56179000,17428.74846 +"United Kingdom","Europe",1982,74.04,56339704,18232.42452 +"United Kingdom","Europe",1987,75.007,56981620,21664.78767 +"United Kingdom","Europe",1992,76.42,57866349,22705.09254 +"United Kingdom","Europe",1997,77.218,58808266,26074.53136 +"United Kingdom","Europe",2002,78.471,59912431,29478.99919 +"United Kingdom","Europe",2007,79.425,60776238,33203.26128 +"United States","Americas",1952,68.44,157553000,13990.48208 +"United States","Americas",1957,69.49,171984000,14847.12712 +"United States","Americas",1962,70.21,186538000,16173.14586 +"United States","Americas",1967,70.76,198712000,19530.36557 +"United States","Americas",1972,71.34,209896000,21806.03594 +"United States","Americas",1977,73.38,220239000,24072.63213 +"United States","Americas",1982,74.65,232187835,25009.55914 +"United States","Americas",1987,75.02,242803533,29884.35041 +"United States","Americas",1992,76.09,256894189,32003.93224 +"United States","Americas",1997,76.81,272911760,35767.43303 +"United States","Americas",2002,77.31,287675526,39097.09955 +"United States","Americas",2007,78.242,301139947,42951.65309 +"Uruguay","Americas",1952,66.071,2252965,5716.766744 +"Uruguay","Americas",1957,67.044,2424959,6150.772969 +"Uruguay","Americas",1962,68.253,2598466,5603.357717 +"Uruguay","Americas",1967,68.468,2748579,5444.61962 +"Uruguay","Americas",1972,68.673,2829526,5703.408898 +"Uruguay","Americas",1977,69.481,2873520,6504.339663 +"Uruguay","Americas",1982,70.805,2953997,6920.223051 +"Uruguay","Americas",1987,71.918,3045153,7452.398969 +"Uruguay","Americas",1992,72.752,3149262,8137.004775 +"Uruguay","Americas",1997,74.223,3262838,9230.240708 +"Uruguay","Americas",2002,75.307,3363085,7727.002004 +"Uruguay","Americas",2007,76.384,3447496,10611.46299 +"Venezuela","Americas",1952,55.088,5439568,7689.799761 +"Venezuela","Americas",1957,57.907,6702668,9802.466526 +"Venezuela","Americas",1962,60.77,8143375,8422.974165 +"Venezuela","Americas",1967,63.479,9709552,9541.474188 +"Venezuela","Americas",1972,65.712,11515649,10505.25966 +"Venezuela","Americas",1977,67.456,13503563,13143.95095 +"Venezuela","Americas",1982,68.557,15620766,11152.41011 +"Venezuela","Americas",1987,70.19,17910182,9883.584648 +"Venezuela","Americas",1992,71.15,20265563,10733.92631 +"Venezuela","Americas",1997,72.146,22374398,10165.49518 +"Venezuela","Americas",2002,72.766,24287670,8605.047831 +"Venezuela","Americas",2007,73.747,26084662,11415.80569 +"Vietnam","Asia",1952,40.412,26246839,605.0664917 +"Vietnam","Asia",1957,42.887,28998543,676.2854478 +"Vietnam","Asia",1962,45.363,33796140,772.0491602 +"Vietnam","Asia",1967,47.838,39463910,637.1232887 +"Vietnam","Asia",1972,50.254,44655014,699.5016441 +"Vietnam","Asia",1977,55.764,50533506,713.5371196 +"Vietnam","Asia",1982,58.816,56142181,707.2357863 +"Vietnam","Asia",1987,62.82,62826491,820.7994449 +"Vietnam","Asia",1992,67.662,69940728,989.0231487 +"Vietnam","Asia",1997,70.672,76048996,1385.896769 +"Vietnam","Asia",2002,73.017,80908147,1764.456677 +"Vietnam","Asia",2007,74.249,85262356,2441.576404 +"West Bank and Gaza","Asia",1952,43.16,1030585,1515.592329 +"West Bank and Gaza","Asia",1957,45.671,1070439,1827.067742 +"West Bank and Gaza","Asia",1962,48.127,1133134,2198.956312 +"West Bank and Gaza","Asia",1967,51.631,1142636,2649.715007 +"West Bank and Gaza","Asia",1972,56.532,1089572,3133.409277 +"West Bank and Gaza","Asia",1977,60.765,1261091,3682.831494 +"West Bank and Gaza","Asia",1982,64.406,1425876,4336.032082 +"West Bank and Gaza","Asia",1987,67.046,1691210,5107.197384 +"West Bank and Gaza","Asia",1992,69.718,2104779,6017.654756 +"West Bank and Gaza","Asia",1997,71.096,2826046,7110.667619 +"West Bank and Gaza","Asia",2002,72.37,3389578,4515.487575 +"West Bank and Gaza","Asia",2007,73.422,4018332,3025.349798 +"Yemen, Rep.","Asia",1952,32.548,4963829,781.7175761 +"Yemen, Rep.","Asia",1957,33.97,5498090,804.8304547 +"Yemen, Rep.","Asia",1962,35.18,6120081,825.6232006 +"Yemen, Rep.","Asia",1967,36.984,6740785,862.4421463 +"Yemen, Rep.","Asia",1972,39.848,7407075,1265.047031 +"Yemen, Rep.","Asia",1977,44.175,8403990,1829.765177 +"Yemen, Rep.","Asia",1982,49.113,9657618,1977.55701 +"Yemen, Rep.","Asia",1987,52.922,11219340,1971.741538 +"Yemen, Rep.","Asia",1992,55.599,13367997,1879.496673 +"Yemen, Rep.","Asia",1997,58.02,15826497,2117.484526 +"Yemen, Rep.","Asia",2002,60.308,18701257,2234.820827 +"Yemen, Rep.","Asia",2007,62.698,22211743,2280.769906 +"Zambia","Africa",1952,42.038,2672000,1147.388831 +"Zambia","Africa",1957,44.077,3016000,1311.956766 +"Zambia","Africa",1962,46.023,3421000,1452.725766 +"Zambia","Africa",1967,47.768,3900000,1777.077318 +"Zambia","Africa",1972,50.107,4506497,1773.498265 +"Zambia","Africa",1977,51.386,5216550,1588.688299 +"Zambia","Africa",1982,51.821,6100407,1408.678565 +"Zambia","Africa",1987,50.821,7272406,1213.315116 +"Zambia","Africa",1992,46.1,8381163,1210.884633 +"Zambia","Africa",1997,40.238,9417789,1071.353818 +"Zambia","Africa",2002,39.193,10595811,1071.613938 +"Zambia","Africa",2007,42.384,11746035,1271.211593 +"Zimbabwe","Africa",1952,48.451,3080907,406.8841148 +"Zimbabwe","Africa",1957,50.469,3646340,518.7642681 +"Zimbabwe","Africa",1962,52.358,4277736,527.2721818 +"Zimbabwe","Africa",1967,53.995,4995432,569.7950712 +"Zimbabwe","Africa",1972,55.635,5861135,799.3621758 +"Zimbabwe","Africa",1977,57.674,6642107,685.5876821 +"Zimbabwe","Africa",1982,60.363,7636524,788.8550411 +"Zimbabwe","Africa",1987,62.351,9216418,706.1573059 +"Zimbabwe","Africa",1992,60.377,10704340,693.4207856 +"Zimbabwe","Africa",1997,46.809,11404948,792.4499603 +"Zimbabwe","Africa",2002,39.989,11926563,672.0386227 +"Zimbabwe","Africa",2007,43.487,12311143,469.7092981 diff --git a/second/semester1/ST2001/Assignments/lab_week_5.Rmd b/second/semester1/ST2001/Assignments/lab_week_5.Rmd new file mode 100644 index 00000000..960ae941 --- /dev/null +++ b/second/semester1/ST2001/Assignments/lab_week_5.Rmd @@ -0,0 +1,429 @@ +--- +title: "Reading Datafiles into R" +output: + word_document: default + html_document: default + pdf_document: default +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE, message = FALSE, warning = FALSE) +``` + +So far we have learned how to summarise (both numerically and graphically) different types of variables. We also learned how to produce numerical and graphical summaries of a variable across different groups of another categorical variable. But all the variables we used so far are from datasets that are already available in $\texttt{R}$. + + +A key next skill to learn is to import datasets into $\texttt{R}$. There are a lot of common mistakes when downloading files using browsers and then reading them into R. So we have produced a set of slides explaining these and how to avoid or overcome them, entitled "Working with R or R-Markdown and Datafiles". You may wish to read these slides first. They are posted with this lab material and in the Discussion Board. + + +## Reading datasets into `R` + +The datasets we want to import into $\texttt{R}$ might be in different file format, e.g. ".csv", ".xlsx", ".sav", ".dat", ".xml", etc. Among all these file format ".csv" is the simplest and most portable (from one machine to the other) file format. When working with different people you cannot assume they a particular piece of software (e.g. Excel), and you need to be aware that many datafile formats do not have well defined standards so can be unreliable when sharing across different systems. + +It is possible to import dataset in any of the file formats listed above and many others besides. But for the purpose of demonstration, we will show you how to import a dataset in ".csv" format using the function `read.csv()`. + +**Firstly, you need to ensure the ".csv" file and this markdown file are stored in the same folder. Next ensure `R` is using that folder as the working directory (go to Session > Set Working Directory > To Source File Location if you need to set it).** + +# Gapminder Dataset + +We are going to use the gapminder dataset which is available in the "gapminder.csv" file. The dataset contains life expectancy at birth (under `lifeExp` variable name), total population (`pop`), and GDP per capita (`gdpPercap`) of 142 different countries from five different continents over 1952 to 2007. You can find more information and more variables from [here](https://www.gapminder.org/data/). Hans Rosling, the co-founder and chairman of the Gapminder Foundation, gave a mesmerizing Ted talk on this data which you can watch [here](https://www.ted.com/talks/hans_rosling_the_best_stats_you_ve_ever_seen?language=en). + +The following code chunk reads the "gapminder.csv" into an $\texttt{R}$ object `gapminder`. If you get an error message, please read the slides on "Working with R or R-Markdown and Datafiles" and if you cannot resolve the problem discuss it with the tutor. + +```{r } +library(tidyverse) + +gapminder = read.csv("gapminder.csv") +``` + +The first thing to do when reading a dataset into statistical software is to check it has been read in correctly. You can get an overview of the dataset using the `glimpse()` function. + +```{r } +gapminder %>% glimpse() +``` + +To understand the dataset contents, please complete the following task + +**Task 1:** + +* What is the experimental unit here? +* What is the dimension of the dataset (number of rows and columns)? + +```{r} + + + + + +``` + + +## Filtering rows with the `filter()` function + +You can see that there are 1,704 (=142*12) rows in the dataset along with 6 columns. The unit of observation here is country, since all the information available here belong to countries. In the `mtcars` dataset the experiments units were a particular model of car and for the `titanic_train` dataset it was a passenger. However, the `gapminder` dataset is somewhat more complex in the sense that for the `mtcars` dataset each car occupied only one row and for the `titanic_train` dataset each passenger occupied only one row of the dataset but for the `gapminder` dataset each country occupies 12 rows of the dataset. For a particular country, these 12 rows contain information related to different year of data collection. + +Now, if we want to calculate the average population of European countries in 2007, we simply cannot use `summaries(mean(pop))` because it will give the average population of all the countries across all the years. So we have to keep the rows corresponding to European countries for 2007 by filtering out the rows we do not want. The `filter()` function from the `tidyverse` package can help us to keep the rows corresponding to European countries for 2007. + +Run the code below. `"Europe"` is a value for the `continent` variable and `2007` is a value for the `year` variable. To keep the rows corresponding to the `"Europe"` value of the `continent` variable we can use `filter(continent == "Europe")`. To keep the rows corresponding to the `2007` value of the `year` variable we can use `filter(year == 2007)`. But to keep the rows belonging to both of them we need to use `filter(continent == "Europe" & year == 2007)`. Here we used a logical operator `&`. If you are not sure how it works please revisit the first lab. + +```{r , max.print=5} +library(tidyverse) + +gapminder %>% filter(continent == "Europe" & year == 2007) +``` + +Instead of using the logical operator `&` we can separate each condition in the `filter()` function with a comma. Take a look at the help for the `filter()` function typing `help(filter)` in the `R` Console, scroll down to "Arguments" and the entry for `...` which explains that it just combines them with an `&` operator. + +```{r , max.print=5} +gapminder %>% filter(continent == "Europe", year == 2007) +``` + +**Task 2:** In the following code chunk, use the `filter()` function to keep the rows corresponding to the countries in the Americas only for the year 1952. + +```{r} + + + + +``` + +## Selecting Columns With the `select()` Function + +To keep the desired rows of a dataset we can use `filter()` function. Similarly, to keep the desired columns (variables) we can use the `select()` function. Here we select the country and population columns. + + +```{r} +gapminder %>% + filter(continent == "Europe" & year == 2007) %>% + select(country, pop) +``` + +**Task 3:** In the following code chunk, use the `select()` function to retain the `country`, `continent`, `year`, and `lifeExp` of the `gapminder` dataset. + + +```{r} + + + + + +``` + + +## Create a New Variable With the `mutate()` Function + +The `filter()` and `select()` functions help us take "actions" on the dataset, so they are described as "verbs for data manipulation". The most commonly used verbs (functions) are: `select()` , `filter()`, `summarise()`, `mutate()`, and `arrange()`. Let's now demonstrate using the last two verbs. + +The `pop` variable gives the population size for each countries. But it is hard to read such big numbers in the table above. So we could create a variable to store that number in millions (as population are usually expressed in millions). The `mutate()` function enables us to change variables in the dataset, including creating new variables. + +In the code below we created a new variable `pop_mill` using the `mutate()` function by dividing the existing variable `pop` by a million (1,000,000). To keep only two decimal places we use the `round()` function. + + +```{r} +gapminder %>% + filter(continent == "Europe" & year == 2007) %>% + select(country, pop) %>% + mutate(pop_mill = round(pop / 1000000, 2)) +``` + +**Task 4:** Create a new variable to store the total GDP of each country each year in billions (1,000,000,000) rounded to two decimal places. Hint: you need to multiply the GDP per capita by the total population to get total GDP of that year using the `mutate()` function. + +```{r} + + + + + + +``` + +## Arrange rows of a dataset using `arrange()` function + +We may also want to rank the five European countries by population size in 2007. We can do that using the `arrange()` function. + +The code below arranges the dataset in **ascending** order by the `pop` variable, using the `arrange()` function. Not surprisingly Ireland made the list due its small size within Europe! + +```{r} +gapminder %>% + filter(continent == "Europe" & year == 2007) %>% + select(country, pop) %>% + mutate(pop_mill = round(pop / 1000000, 2)) %>% + arrange(pop) +``` + +Now, if we want to see the top five most populous countries in Europe in 2007, we can use the `desc()` function inside the `arrange()` function. By default the `arrange()` function arrange the dataset from the smallest to the largest, but with the help of `desc()` function we can arrange the dataset from the largest to the smallest. See the code below, how we can use the `desc()` function inside the `arrange()` function to arrange the dataset from the largest to the smallest. + +```{r} +gapminder %>% + filter(continent == "Europe" & year == 2007) %>% + select(country, pop) %>% + mutate(pop_mill = round(pop / 1000000, 2)) %>% + arrange(desc(pop)) +``` + +**Task 5:** Now write the code below to find out the top five most economically productive countries (measured by GDP per capita) in Africa in 2002. + +```{r} + + + + + +``` + + +## Filtering Rows Based on Multiple Values of a Variable + +One way to filter more than one year at a time, or multiple countries, is to use the `%in%` operator. +Suppose we want to extract rows for Ireland and New Zealand, in both 2002 and 2007. In $\texttt{R}$, we can create a vector of these countries using `c("Ireland","New Zealand")` and the two years `c(2002, 2007)`. + +The following code extracts the rows for these two countries for those two years. Note: the code deliberately uses single quotes to demonstrate that a **character string** can use double "" or single '' quotation marks. + + +```{r} +library(tidyverse) + +gapminder %>% + filter(country %in% c('Ireland', 'New Zealand') & year %in% c(2002, 2007)) +``` + +**Task 6:** Now write the code to extract rows corresponding to the Europe and Oceania from 1997 and 2007. + +```{r} + + + +``` + +## Revisiting `group_by()` function + +Now, if we want to calculate the average GDP per capita for each of the continent by year, we could do that using the `group_by()` function that you are already familiar with. + +The following code groups the dataset by `continent` and `year`, and then calculates the average GDP per capita for each continent per year + +```{r message = FALSE, warning = FALSE} +gapminder %>% + group_by(continent, year) %>% + summarise(mean(gdpPercap)) +``` + +You can see the resulting dataset has 60 rows because there are 12 year * 5 continent groups. The `summarise(mean(gdpPercap))` calculate the average GDP per capita over all the countries in that continent for that particular year. + +If you want to count how many countries belong to a particular group and used this to calculate the average you can generate that number using the counting function `n()` inside the `summarise()` function. In statistics, "n" oft refers to as sample size. + +From the code below, you can see for each year 52 countries used to calculate the average in Africa. If you scroll through the table then you can see it varies for each continent. + + +```{r} +gapminder %>% + group_by(continent, year) %>% + summarise(n(), mean(gdpPercap)) +``` + +**Task 7:** Write code below to find out how many countries were used to calculate the mean for the Oceania continent over different years. + +```{r} + + + +``` + +## Creating a Cross-tabulation of Summary Statistics + +To see how many countries are there in the dataset for each continent by years. We can generate a cross-table using the `table()` function as follows. + +```{r} +gapminder %>% + select(continent, year) %>% + table() +``` + +Here, each row refers to the name of the continent, each column refers to the corresponding year, and the value in each cell of the table is the count of the entries. We may want to generate such a table but with the average value of the GDP per capita not the number of countries. How can we do that? To this we need to learn another function `pivot_wider()`. + +Run the following code. +```{r} +gapminder %>% + group_by(continent, year) %>% + summarise(mean(gdpPercap)) %>% + pivot_wider(names_from = year, values_from = `mean(gdpPercap)`) +``` + +Now instead of the count, now we have average GDP per capita for each continent by year. It is very easy to compare the average GDP per capitat across year and continent. + +It is slightly easier to code if you name the result from the `summary()` function as you can then just refer to it by name in `pivot_wider()`. Notice that the results are the same, but the code is maybe a little easier to understand. + +```{r} +gapminder %>% + group_by(continent, year) %>% + summarise(meanGDP = mean(gdpPercap)) %>% + pivot_wider(names_from = year, values_from = meanGDP) +``` + +The `pivot_wider()` function *reshaped* the dataset by taking the column `year` and making each of its category as separate column. Then it fills the cell by taking values from the `meanGDP` variable. The part of the name of the function is "wider" because it makes the dataset "wide" by creating more variables than it has before. This type of transformation of dataset is called "reshaping". If this concept seems a bit advanced, do not worry we will discuss more about reshaping in future labs. + + +**Task 8:** Create a cross-table of continent and year with median life expectancy as the value for each cell. + +```{r} + + + +``` + +## Creating a Scatterplot With `geom_point()` + +We have created a nice summary table to compare the average GDP per capita among different continents across different years. A graphical summary may be useful for audiences that don't like tables of numbers. **A picture is worth a thousand words, or numbers!* + +Suppose, we want to see the change of life expectancy over the years for Ireland. First, we can filter the dataset to get the rows related to Ireland and then we can put `year` variable on the x-axis and `lifeExp` on the y-axis for the `ggplot`. Then we can represent each value as a point (geometric shape). In the following code we used the `geom_point()` function to create such a plot with "points" as geometric shape. This kind of plot is commonly known as *scatterplot*. + + +```{r} +gapminder %>% + filter(country == "Ireland") %>% + ggplot(aes(x = year, y = lifeExp)) + + geom_point() + + labs(x = "Year", y = "Life Expectancy at Birth") +``` + +**Task 9:** Create a scatterplot of Irish population against year to see how Irish population is changing. + +```{r} + + + +``` + +## Layered Graphics with `ggplot` + +If we want to connect each of the dots by a line then we could use the `geom_line()` function in the plot above. In the code below, notice that we just added a new geometric shape in the plot and we have two plots (a scatter plot and a line plot) on the same plot! So we added a new *layer* by `geom_line()` function on the existing plot. + +We can add as many layers we want to the plot to make it more informative. This is a very powerful feature of `ggplot`. It is part of the "grammar of graphics", hence the **gg* in `ggplot`. + + +```{r} +gapminder %>% + filter(country == "Ireland") %>% + ggplot(aes(x = year, y = lifeExp)) + + geom_point() + + geom_line() + + labs(x = "Year", y = "Life Expectancy at Birth") +``` + +**Task 10:** Create a layered graphics (with both a scatterplot and line plot) of Irish population against year. + +```{r} + + + +``` + +## Using `group` and `colour` aesthetics + +Now, why only Ireland? You might want to add more countries to the plot to compare between countries. There is a very nice way we could do that in `ggplot` using the `group` aesthetic. + +In the following code, we keep three countries and tell `ggplot` to create different lines for the different countries by specifying `group = country` inside the aesthetic `aes()` function which creates the environment for the plot. + +```{r} +gapminder %>% + filter(country %in% c("Ireland", "Iceland", "Japan" )) %>% + ggplot(aes(x = year, y = lifeExp, group = country)) + + geom_point() + + geom_line() + + labs(x = "Year", y = "Life Expectancy at Birth") +``` + +The problem with the above plot is that we do not know what line represent what countries. To solve this, we can use `colour` aesthetic of `ggplot`. + +```{r} +gapminder %>% + filter(country %in% c("Ireland", "Iceland", "Japan" )) %>% + ggplot(aes(x = year, y = lifeExp, group = country, colour = country)) + + geom_point() + + geom_line() + + labs(x = "Year", y = "Life Expectancy at Birth") +``` + +Now we have nice label for each country. This is called *legend* in plotting terminology. + +**Task 11:** In the following R chunk, change the previous code to add two more countries: Norway and Italy. This time instead of life expectancy, plot total population in millions. Note: you have to create a new variable to convert the population in millions and you also need to change the level appropriately. + + +```{r} + + + + +``` + + +## Plotting summary statistics + +Now, if we wish to compare `lifeExp` across different continent, the line plot above might not be helpful because there are many countries belong to the same continent. So we first need to summarise them using a summary statistics (`median()` for example) and then can plot that for each continent over the years. + + +```{r} +gapminder %>% + group_by(continent, year) %>% + summarise(medianlifeExp = median(lifeExp)) %>% + ggplot(aes(x = year, y = medianlifeExp, colour = continent)) + + geom_point() + + geom_line() + + labs(x = "Year", y = "Median Life Expectancy at Birth") +``` + +**Task 12:** In the following code chunk, create a plot to compare mean GDP per capita across different continents over the years. Label the plot appropriately. + +```{r} + + + +``` + + +## Object manipulation in `R` + +Whenever you use `<-` of `=` operator in $\texttt{R}$ you are creating an object on the right and "assigning" it the name on the left of the operator. All the objects you create in an $\texttt{R}$ session are available in `R`'s memory for your to use. You can use the `objects()` or `ls()` functions to see what objects are available in the memory. + +```{r} +objects() + +ls() +``` + +The only object you should have stored in memory from this lab is the `gapminder` dataset, we imported at the beginning. No other objects have been created so far. Now, let's create some more objects. + +```{r} +x = c(1, 2, 3, 4, 5) +y = c("A", "B", "C") + +ireland = gapminder %>% filter(country == "Ireland") +``` + +and check what objects are available now. + +```{r} +ls() +``` + +If you want to delete an object you can use the `rm()` function to do so. Lets delete the `x` object. + +```{r} +rm("x") +ls() +``` + +You can also delete all the objects in the `R` memory using the following code. + +```{r} +rm(list = ls()) +``` + + +After this complete deletion there will be nothing left, hence why the `ls()` function returns `character(0)` which mean a character vector with 0 entries, i.e. an empty list! + +```{r} +ls() +``` + + + diff --git a/second/semester1/ST2001/Assignments/lowbirthweight_scaffold.Rmd b/second/semester1/ST2001/Assignments/lowbirthweight_scaffold.Rmd new file mode 100644 index 00000000..8e6f43e7 --- /dev/null +++ b/second/semester1/ST2001/Assignments/lowbirthweight_scaffold.Rmd @@ -0,0 +1,175 @@ +--- +title: "Investigating the Factors Affecting Birthweight" +author: "Andrew Hayes, id = 21321503" +date: "`r format(Sys.time(), '%d %B, %Y')`" +output: + pdf_document: default + word_document: default +--- + + +# Question of Interest + +Are the factors of smoking, previous history of hypertension or urinary irritability associated with whether babies were born with low birthweight (less than 2,500 grams)? + +## Load the Libraries and Data Needed +Load the required libraries so you can use them, and then make the birthweight data available ('lowbwt') as follows: + +```{r, message = FALSE, warning = FALSE} +library(tidyverse) +library(aplore3) + +data(lowbwt) +``` + +The low birthweight data is from the "Applied Logistic Regression" textbook by Hosmer and Lemeshow. The following is a description of the variables in this dataset. + +|Name| Description| +|:------|:------------------------------------------------------------------------| +|subject| identification code| +|low |low birthweight ("< 2500 g" or ">= 2500 g")| +|age |age of mother| +|lwt|weight at last menstrual period (pounds)| +|race |race (Black, White, Other)| +|smoke |smoked during pregnancy (Yes, No)| +|ptl |premature labour history (None, One, Two, etc.)| +|ht |history of hypertension (Yes, No)| +|ui |uterine irritability (Yes, No)| +|ftv |number of visits to physician during 1st trimester (None, One, Two, etc.)| +|bwt |birthweight (in grams)| + +## Subjective Impressions + +The key variable of interest is `low` which represents whether a baby is born with low birthweight, defined as a birthweight below 2,500 grams. + +```{r} +lowbwt %>% select(low) %>% table() +``` + +Let's explore the association between history of hypertension and low birthweight by tabulating the data. + +```{r} +lowbwt %>% select(low, ht) %>% table() +``` + +It seems there were not many mothers with hypertension, but the proportions of low weight babies is very much higher for mothers suffering from hypertension status than those that were not. + +```{r} +lowbwt %>% select(low, ht) %>% table() %>% prop.table(margin = 2) +``` + +Task: In the following `R` chunk explore the association between uterine irritability and whether the babies were born with low birthweight, using both the counts and appropriate percentages. Explain the results in words. + +```{r} +lowbwt %>% select(low, ui) %>% table() +lowbwt %>% select(low, ui) %>% table() %>% prop.table(margin = 2) + +``` +It seems that there were relatively few mothers with uterine irritability in the dataset, only 28. Of those 28, precisely half the babies had low weight, and the rest did not. When we compare these proportions to the rest of the dataset, we see that uterine irritability is definitely associated with low birth rate, although to a lesser degree than hypertension. Babies were almost 1.8 times more likely to be born with low weight if their mother suffered from uterine irritability than babies whose mothers did not. + + +Task: In the following `R` chunk explore the association between smoking status and whether the babies were born with low birthweight, using both the counts and appropriate percentages. Explain the results in words. + +```{r} +lowbwt %>% select(low, smoke) %>% table() +lowbwt %>% select(low, smoke) %>% table() %>% prop.table(margin = 2) + +``` +Smoking definitely has an association with low birth weight, although to a lesser degree than uterine irritability. Babies of smokers were about 1.6 times more likely than the babies of non-smokers to have low birth rate. However, babies of smokers were more likely to be non-low weight than low weight. There are also a lot more mothers who are smokers than have uterine irritability, so the smoker data should be less sensitive to outliers. + +Now we will create some barcharts. + +# Barchart of Low Birthweight + +The following is a frequency plot of the low birthweight status. + +```{r} +ggplot(lowbwt, aes(x = low, fill = low)) + + geom_bar() +``` + +Task: In the following `R` chunk create a frequency plot of the smoking status. + +```{r} +ggplot(lowbwt, aes(x = smoke, fill = smoke)) + + geom_bar() + +``` + + +# Stacked Barchart of Low Birthweight by Hypertension Status + +Below is a relative frequency plot of the low birthweight of the babies against the hypertension status of the mothers using a stacked barchart. + +```{r} +ggplot(lowbwt, aes(x = ht)) + + geom_bar(aes(fill = low), position = "fill") + + ylab("Proportion") +``` + + +Task: Create a stacked barchart of low birthweight by smoking status by inserting an `R` chunk and relevant code below. +```{r} +ggplot(lowbwt, aes(x = smoke)) + + geom_bar(aes(fill = low), position = "fill") + + ylab("Proportion") +``` + + + +Task: Create a stacked barchart of low birthweight by uterine irritability by inserting an `R` chunk and relevant code below. +```{r} +ggplot(lowbwt, aes(x = ui)) + + geom_bar(aes(fill = low), position = "fill") + + ylab("Proportion") +``` + + +Task: Once you have created the plots, explain your interpretation of which factors are associated with low birthweight based on the three barcharts. State which factor you think is most associated with birthweight. + +Based off of the 3 barcharts, I would say that all 3 factors are associated with low birthweight. It appears to me that hypertension is most associated with low birthweight (0.5833333), followed by uterine irritability (0.5000000), followed by smoke (0.4054054). However, it may be relevant to note that the sample size of each of those factors is rather small, and therefore sensitive to outliers. + + +The following `R` chunk produces a boxplot of the birthweight distribution. + +```{r} +lowbwt %>% ggplot(aes(y = bwt)) + + geom_boxplot() + + labs(y = "Birthweight (in grams)") + +``` + + +Task: In the previous task you stated which factor you believe was most associated with birthweight, so you can explore the impact on the distribution in more detail. Create a graph of side-by-side boxplots comparing the birthweight distribution for each level of that factor (e.g. comparing mothers who had uterine irritability and those who did not), by inserting an `R` chunk and relevant code below. + +[Hint: we used side-by-side boxplots in the week 4 lab and in the Exploratory Data Analysis worksheet] + +```{r} +lowbwt %>% ggplot(aes(y = bwt, x = factor(ht))) + + geom_boxplot() + + labs(x = "ht") +``` + + + + + + +# Conclusion + +Task: Write a short conclusion of whether you think low birthweight of babies can be predicted based on whether the mother smoked, has hypertension or uterine irritability. + +It's clear that there is some association between low birthweight of babies based off whether the mother smoked, had hyptertension, or uterine irritability, +However, it's more difficult to say whether low birthweight can be predicted by any of these factors. + +I would say that low birthweight can be predicted by hypertension, as the majority of babies born to mothers with hypertension have low birthrate (0.5833333). + +However, uterine irritability is a predictor of an increased chance of low birthweight, but not low birthweight itself. It appears from the data that it is 50-50 (0.5000000) whether a baby born to a mother with uterine irritability will have low birthrate, so you couldn't make an accurate prediction about the baby of a mother with uterine irritability. 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00000000..4289982b --- /dev/null +++ b/second/semester1/logseq-stuff/draws/2022-10-28-11-38-31.excalidraw @@ -0,0 +1,10 @@ +{ + "type": "excalidraw", + "version": 2, + "source": "https://logseq.com", + "elements": [], + "appState": { + "viewBackgroundColor": "#FFF", + "gridSize": null + } +} \ No newline at end of file diff --git a/second/semester1/logseq-stuff/journals/2022_10_20.md b/second/semester1/logseq-stuff/journals/2022_10_20.md new file mode 100644 index 00000000..4e38b76a --- /dev/null +++ b/second/semester1/logseq-stuff/journals/2022_10_20.md @@ -0,0 +1,6 @@ +- ![image.png](../assets/image_1666260304759_0.png) +- ![image.png](../assets/image_1666260339357_0.png) +- ![image.png](../assets/image_1666260376811_0.png) +- ![image.png](../assets/image_1666260397597_0.png) +- ![image.png](../assets/image_1666260421397_0.png) +- ![image.png](../assets/image_1666260436611_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_10.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_10.md new file mode 100644 index 00000000..c4362916 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_10.md @@ -0,0 +1,31 @@ +- DONE Migrate Entirely to Logseq + :LOGBOOK: + CLOCK: [2022-09-10 Sat 13:49:57]--[2022-09-11 Sun 00:19:31] => 10:29:34 + :END: + - DONE [[CT255 - Next Generation Technologies II]] + :LOGBOOK: + CLOCK: [2022-09-10 Sat 13:49:51]--[2022-09-10 Sat 13:50:39] => 00:00:48 + CLOCK: [2022-09-10 Sat 13:50:40]--[2022-09-10 Sat 13:50:41] => 00:00:01 + CLOCK: [2022-09-10 Sat 13:50:42]--[2022-09-10 Sat 13:50:47] => 00:00:05 + CLOCK: [2022-09-10 Sat 13:50:52]--[2022-09-10 Sat 13:50:53] => 00:00:01 + CLOCK: [2022-09-10 Sat 13:50:54]--[2022-09-10 Sat 13:50:56] => 00:00:02 + CLOCK: [2022-09-10 Sat 13:50:58]--[2022-09-10 Sat 13:50:58] => 00:00:00 + CLOCK: [2022-09-10 Sat 13:50:59]--[2022-09-10 Sat 17:27:55] => 03:36:56 + :END: + - DONE [[ST2001 - Statistics in Data Science I]] + - DONE [[MA284 - Discrete Mathematics]] + :LOGBOOK: + CLOCK: [2022-09-10 Sat 22:16:59]--[2022-09-10 Sat 22:27:54] => 00:10:55 + :END: + - DONE [[CT213 - Computer Systems & Organisation]] + - DONE [[ CT230 - Database Systems I]] + - DONE [[CT216 - Software Engineering I]] + :LOGBOOK: + CLOCK: [2022-09-10 Sat 22:49:58]--[2022-09-10 Sat 23:02:44] => 00:12:46 + :END: + - DONE [[CT2106 - Object-Oriented Programming]] + :LOGBOOK: + CLOCK: [2022-09-10 Sat 23:02:54]--[2022-09-10 Sat 23:03:46] => 00:00:52 + :END: + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_11.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_11.md new file mode 100644 index 00000000..4badb79a --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_11.md @@ -0,0 +1,15 @@ +- DONE Learn set notation in katex +- DONE Check ST2001 survey stats + :LOGBOOK: + CLOCK: [2022-09-11 Sun 09:22:57]--[2022-09-11 Sun 09:24:00] => 00:01:03 + :END: +- DONE Check ST2001 Blackboard for assignments + :LOGBOOK: + CLOCK: [2022-09-11 Sun 09:23:02]--[2022-09-11 Sun 09:33:05] => 00:10:03 + :END: + - DONE Do assignment +- DONE Laundry + :LOGBOOK: + CLOCK: [2022-09-11 Sun 17:35:54] + :END: +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_13.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_13.md new file mode 100644 index 00000000..f7ff9d86 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_13.md @@ -0,0 +1,10 @@ +- By the end of the week: + - DONE achieve flashcard 0 +- DONE CT2106 Notes + :LOGBOOK: + CLOCK: [2022-09-13 Tue 12:45:14]--[2022-09-13 Tue 12:45:16] => 00:00:02 + :END: +- TODO Get card activated +- TODO pick MA284 tutorial +- TODO do MA284 exercises +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_14.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_14.md new file mode 100644 index 00000000..19e82061 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_14.md @@ -0,0 +1,10 @@ +- DONE CT230 Notes + :LOGBOOK: + CLOCK: [2022-09-14 Wed 11:41:04]--[2022-09-14 Wed 18:01:05] => 06:20:01 + :END: +- DONE MA284 Notes +- DONE add definition for semantic integrity constraints + :LOGBOOK: + CLOCK: [2022-09-14 Wed 18:09:33]--[2022-09-14 Wed 18:17:23] => 00:07:50 + :END: +- TODO fla \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_15.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_15.md new file mode 100644 index 00000000..3cf20d57 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_15.md @@ -0,0 +1 @@ +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_16.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_16.md new file mode 100644 index 00000000..265b99b3 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_16.md @@ -0,0 +1,5 @@ +- :LOGBOOK: + CLOCK: [2022-09-16 Fri 09:06:48]--[2022-09-17 Sat 15:38:37] => 30:31:49 + :END: +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_17.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_17.md new file mode 100644 index 00000000..6c8a9a14 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_17.md @@ -0,0 +1,4 @@ +- +- ## Medium Priority + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_18.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_18.md new file mode 100644 index 00000000..7d1196e7 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_18.md @@ -0,0 +1,31 @@ +- ## High Priority + - TODO MA284 Assignment 1 + :LOGBOOK: + CLOCK: [2022-09-17 Sat 15:45:51] + CLOCK: [2022-09-17 Sat 15:47:59]--[2022-09-17 Sat 18:50:09] => 03:02:10 + :END: + - Leave last 5 questions until I've seen the notes on them. + - TODO Software Engineering Project Proof of Concept + - TODO Flashcard 0 + - DONE Set up CT230 Database + :LOGBOOK: + CLOCK: [2022-09-17 Sat 18:52:52]--[2022-09-17 Sat 19:02:55] => 00:10:03 + :END: + - TODO Merge PDFs from Week 1 and Week 2 + - TODO PDF unite script +- +- ## Subjects + - ### CT213 + - DONE CT213 Notes - Due Monday + :LOGBOOK: + CLOCK: [2022-09-18 Sun 00:51:10]--[2022-09-19 Mon 17:36:26] => 40:45:16 + :END: + - TODO CT213 Lab Materials - Due Tuesday + - ### CT230 + - TODO CT230 Notes - Due Tuesday + - TODO CT230 Lab Materials - Due Tuesday + - ### CT255 + - DONE CT255 Notes - Due Monday + - ### MA284 + - TODO MA284 Assignment - Due 3rd October + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_19.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_19.md new file mode 100644 index 00000000..915bcec1 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_19.md @@ -0,0 +1,7 @@ +- DONE ST2001 Lab +- DONE ST2001 Assignment 2 +- DONE find st2001 lab +- DONE ct213 notes +- DONE ct255 notes +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_20.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_20.md new file mode 100644 index 00000000..a82ff496 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_20.md @@ -0,0 +1,25 @@ +- # Today's Work + - #### CT2106 + - LATER CT2106 Lab Assignment + - #### CT230 + - DONE CT230 Notes + - TODO CT230 Lab Assignment + :LOGBOOK: + CLOCK: [2022-09-20 Tue 09:22:54]--[2022-09-20 Tue 10:35:49] => 01:12:55 + CLOCK: [2022-09-20 Tue 18:10:23]--[2022-09-20 Tue 18:13:34] => 00:03:11 + CLOCK: [2022-09-20 Tue 18:14:08]--[2022-09-20 Tue 18:14:09] => 00:00:01 + CLOCK: [2022-09-20 Tue 18:14:09]--[2022-09-20 Tue 18:14:10] => 00:00:01 + CLOCK: [2022-09-20 Tue 18:14:10]--[2022-09-20 Tue 18:14:11] => 00:00:01 + CLOCK: [2022-09-20 Tue 18:14:11]--[2022-09-20 Tue 18:14:12] => 00:00:01 + :END: + - +- +- # Tomorrow's Work + - #### MA284 + - TODO MA284 Notes + - TODO MA284 Assignment + - #### CT255 + - TODO CT255 Lab Assignment + - #### CT213 + - TODO CT213 Lab Assignment +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_21.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_21.md new file mode 100644 index 00000000..04ebf1c9 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_21.md @@ -0,0 +1,13 @@ +- DONE MA284 Slides +- DONE CT230 slides, if any +- +- DONE MA284 Homework + - very nearly almost done + - +- DONE Finish CT213 Assignment + - low priority + - +- TODO CT2106 Assignment +- +- DONE CT255 Lab? +- DONE CT213 lab \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_23.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_23.md new file mode 100644 index 00000000..ca0e519b --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_23.md @@ -0,0 +1,22 @@ +- Ideally, we would be finished this all by the Monday 00:00 +- ## CT2106 + - TODO Finish Week 3 Topic - Variables & OOP Modelling + - TODO Lecture 5 Slides + - TODO Lecture 6 Slides + - TODO Assignment 1 - Due 2022-09-30 11:59 (1 Week) +- +- ## CT213 + - TODO Quiz 3 + :LOGBOOK: + CLOCK: [2022-09-23 Fri 20:13:00]--[2022-09-23 Fri 20:13:23] => 00:00:23 + :END: + - +- ## CT230 + - TODO Finish Lab Problem Sheet 1 +- +- ## CT255 + - TODO Assignment 1 - A Reflective Review on GDPR - Due 2022-09-30 23:59 +- +- ## ST2001 + - TODO Finish Topic Data Collection & Study Design +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_24.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_24.md new file mode 100644 index 00000000..d17592f3 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_24.md @@ -0,0 +1,11 @@ +- Idea for 日本語 かんじ input: + - # Kanji + - ## 日 (for example) # card + - **おん Reading:** ひ。 + - **くん Reading:** に。 + - **Meaning:** Sun, day. + - **Strokes:** 5. + - ### Vocabulary + - **日曜日 ->** Sunday. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_25.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_25.md new file mode 100644 index 00000000..3cf20d57 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_25.md @@ -0,0 +1 @@ +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_26.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_26.md new file mode 100644 index 00000000..dd2a822f --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_26.md @@ -0,0 +1,17 @@ +- ## Assignments + - DOING Finish CT2106 Assignment 1 + :LOGBOOK: + CLOCK: [2022-09-26 Mon 17:48:37]--[2022-09-27 Tue 20:08:34] => 26:19:57 + CLOCK: [2022-09-27 Tue 20:08:37] + :END: + - DONE Finish Code + :LOGBOOK: + CLOCK: [2022-09-26 Mon 16:03:43]--[2022-09-26 Mon 16:03:45] => 00:00:02 + :END: + - DOING Make PDF + :LOGBOOK: + CLOCK: [2022-09-27 Tue 09:31:32]--[2022-09-27 Tue 20:08:33] => 10:37:01 + CLOCK: [2022-09-27 Tue 20:08:39] + :END: + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_27.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_27.md new file mode 100644 index 00000000..0ee115a2 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_27.md @@ -0,0 +1,28 @@ +- # 大学 + - ## + - ## CT213 + - DONE CT213 Quiz 4 + :LOGBOOK: + CLOCK: [2022-09-27 Tue 09:47:43]--[2022-09-27 Tue 09:48:45] => 00:01:02 + CLOCK: [2022-09-27 Tue 09:48:47]--[2022-09-27 Tue 09:48:48] => 00:00:01 + :END: + - TODO CT213 Lab 4 - 明日 + - ## CT230 + collapsed:: true + - DONE `SELECT`: Working with strings & subqueries slides + - DONE CT230 Lab Week 4 - Problem Sheet 2 + :LOGBOOK: + CLOCK: [2022-09-27 Tue 12:56:14]--[2022-09-27 Tue 16:06:20] => 03:10:06 + :END: + - DONE Sample Test 1 + - + - ## CT255 + - TODO Reflective Assignment 1 - 2022年09月30日 11時59分。 + - TODO Next Week's lecture notes - optional + - ## MA284 + collapsed:: true + - TODO Assignment 2 - optional for now + - TODO Combinatorial Proofs Lecture Slides - optional + - ## ST2001 + - TODO Lab Assignment Week 4 + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_28.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_28.md new file mode 100644 index 00000000..d650bd2f --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_28.md @@ -0,0 +1,26 @@ +- # 大学 + - ## レクチャス + - ### CT230 + - DONE Lecture Notes + :LOGBOOK: + CLOCK: [2022-09-28 Wed 20:26:22]--[2022-09-28 Wed 20:26:22] => 00:00:00 + :END: + - ### MA284 + :LOGBOOK: + CLOCK: [2022-09-28 Wed 20:26:26]--[2022-09-28 Wed 20:26:26] => 00:00:00 + :END: + - DONE Lecture Notes + :LOGBOOK: + CLOCK: [2022-09-28 Wed 20:26:31]--[2022-09-28 Wed 20:26:32] => 00:00:01 + :END: + - ## Assignments + - ### CT2106 + - DONE Assignment 1 + - DONE Write code + :LOGBOOK: + CLOCK: [2022-09-28 Wed 10:31:50] + :END: + - DONE Finish PDF + - ### CT213 + - TODO Lab Assignment 4 + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_29.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_29.md new file mode 100644 index 00000000..441f24d8 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_09_29.md @@ -0,0 +1,31 @@ +- # 大学 + - ## CT255 + - TODO ^^CT255 Assignment 1^^ + - TODO Problem 1 + - TODO Part 1 + - TODO Part 2 + - DONE Problem 2 + :LOGBOOK: + CLOCK: [2022-09-29 Thu 16:49:43]--[2022-09-29 Thu 16:49:44] => 00:00:01 + :END: + - TODO Human Security Slides (very low priority). + - ## MA284 + - TODO Assignment 2 + - TODO Take notes from annotated slides + - TODO Finish combinatorial proofs slides + - ## CT213 + - TODO Quiz Week 4 + - TODO Week 4 Lab + - ## CT216 + - DONE XP Notes + :LOGBOOK: + CLOCK: [2022-09-29 Thu 15:21:56]--[2022-09-29 Thu 15:21:59] => 00:00:03 + :END: + - ## CT230 + - TODO Practice Quiz + - TODO Revise for quiz + - ## ST2001 + - TODO Week 4 lab +- +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_03.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_03.md new file mode 100644 index 00000000..96bb819c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_03.md @@ -0,0 +1,14 @@ +- # 大学 + - ## CT213 + - TODO Lecture Notes + - TODO Exercises? + - TODO Quiz + - ## ST2001 + - TODO Finish Probability Slides + - DONE ST2001 Assignment 3 - 2022年10月13日 15:00。 + :LOGBOOK: + CLOCK: [2022-10-03 Mon 18:14:55]--[2022-10-04 Tue 13:02:51] => 18:47:56 + :END: + - ## MA284 + - TODO Assignment 2 - 2022年10月14日。 + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_04.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_04.md new file mode 100644 index 00000000..095b11f9 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_04.md @@ -0,0 +1,2 @@ +- goal: get to & stay on flashcard zero by the end of each day. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_06.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_06.md new file mode 100644 index 00000000..7498bceb --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_06.md @@ -0,0 +1,7 @@ +- ## Assignments + - TODO CT2106 Assignment 2 +- ## Good to do + - TODO CT213 Lab 3 + - TODO Fingerprint scanner + - TODO Finish Probability notes + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_08.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_08.md new file mode 100644 index 00000000..3cf20d57 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_08.md @@ -0,0 +1 @@ +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_11.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_11.md new file mode 100644 index 00000000..b0ace232 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_11.md @@ -0,0 +1,7 @@ +- DONE CT2106 Assignment 2 - 2022年10月14日 23:59。 +- DONE MA284 Assignment 2 - 2022年10月14日 23:00。 + :LOGBOOK: + CLOCK: [2022-10-14 Fri 16:13:16]--[2022-10-14 Fri 16:13:21] => 00:00:05 + :END: +- TODO CT255 Assignment "1" - Breaking Hash Functions - 2022年10月23日 23:50。 +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_14.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_14.md new file mode 100644 index 00000000..eba12642 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_14.md @@ -0,0 +1 @@ +- petition to rename abjads to bjds \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_17.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_17.md new file mode 100644 index 00000000..e31360a3 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_17.md @@ -0,0 +1,10 @@ +- # 大学 + - ## Ongoing + - DONE CT255 Assignment 1 - Breaking Hash Functions. Due: 2022年10月23日 23:59。 + - DONE ST2001 Assignment 4. Due: 2022年10月27日 15:00。 + :LOGBOOK: + CLOCK: [2022-10-20 Thu 16:18:09]--[2022-10-20 Thu 16:18:10] => 00:00:01 + :END: + - DONE CT2106 Assignment 3. Due: 2022年10月28日 23:59。 + - DONE CT255 Assignment 2 - Rainbow Tables. Due: 2022年10月30日 23:59。 + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_18.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_18.md new file mode 100644 index 00000000..c70d130d --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_18.md @@ -0,0 +1,3 @@ +- https://www.earthcam.com/world/ireland/dublin/?cam=templebar +- https://yewtu.be/watch?v=i3Lzj3sS-wg +- https://www.tepco.co.jp/decommission/progress/about/livecamera/index-j.html \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_19.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_19.md new file mode 100644 index 00000000..bf878b57 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_19.md @@ -0,0 +1,2 @@ +- finish advance pie +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_21.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_21.md new file mode 100644 index 00000000..24b6fd5c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_21.md @@ -0,0 +1,6 @@ +- | **Time** | **Activity** | + | 1415 | Leave for station | + | 1440 | Get on train | + | 1505 | Be on train| +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_24.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_24.md new file mode 100644 index 00000000..4742f24e --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_24.md @@ -0,0 +1,14 @@ +- TODO CT213 Last week's slides + - TODO Download + - TODO take notes +- +- # Tasks (In Order of Importance) + - TODO CT255 Assignment 2 - Rainbow Tables. Due: 2022年11月01日 23:59。 + - TODO CT213 Assignment 1. Due 2022年11月04日 17:00。 + - TODO MA284 Assignment 3. Due: 2022年11月04日 23:00。 + :LOGBOOK: + CLOCK: [2022-10-26 Wed 10:09:57]--[2022-10-27 Thu 10:05:58] => 23:56:01 + :END: +- +- **CT213 Idea:** store the count of late trains etc. and visualize em using grafana + background-color:: pink \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_25.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_25.md new file mode 100644 index 00000000..4ee97b25 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_25.md @@ -0,0 +1,4 @@ +- TODO CT230 Notes +- DONE CT230 Lab +- TODO ST2001 Lab +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_27.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_27.md new file mode 100644 index 00000000..b2064811 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_27.md @@ -0,0 +1,7 @@ +- # プラン　「２０２２年１０月２７日」。 + - TODO CT2106 Assignment 3 + :LOGBOOK: + CLOCK: [2022-10-27 Thu 14:13:22] + :END: + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_28.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_28.md new file mode 100644 index 00000000..0923da22 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_28.md @@ -0,0 +1,3 @@ +- TODO CT2106 Assignment 3 +- TODO CT230 MCQ +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_31.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_31.md new file mode 100644 index 00000000..e4f84d19 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_10_31.md @@ -0,0 +1,6 @@ +- # チャーリ・バンズ。 + - look for bible + - bell jar + - the trouble with being born + - phenomenology of spirit +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_02.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_02.md new file mode 100644 index 00000000..6f27523b --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_02.md @@ -0,0 +1,17 @@ +- # Assignments + - ## 今週 + - DONE MA284 Assignment 3. Due: 2022年11月04日 17:00。 + :LOGBOOK: + CLOCK: [2022-11-03 Thu 11:29:46]--[2022-11-05 Sat 15:46:52] => 52:17:06 + :END: + - DONE CT213 Assignment 1. Due 2022年11月04日 17:00。 + :LOGBOOK: + CLOCK: [2022-11-03 Thu 11:29:42]--[2022-11-03 Thu 11:29:44] => 00:00:02 + :END: + - ## 未来 + - TODO ST2001 Assignment 5. Due 2022年11月10日 15:00。 + - TODO CT255 Assignment 3. Due 2022年11月13日 23:59。 + - TODO CT2106 Assignment 4. Due 2022年11月18日 23:59。 +- # Lecture Notes + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_05.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_05.md new file mode 100644 index 00000000..e69de29b diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_06.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_06.md new file mode 100644 index 00000000..3cf20d57 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_06.md @@ -0,0 +1 @@ +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_07.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_07.md new file mode 100644 index 00000000..3cf20d57 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_07.md @@ -0,0 +1 @@ +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_08.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_08.md new file mode 100644 index 00000000..3cf20d57 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_08.md @@ -0,0 +1 @@ +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_10.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_10.md new file mode 100644 index 00000000..e69de29b diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_11.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_11.md new file mode 100644 index 00000000..e69de29b diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_13.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_13.md new file mode 100644 index 00000000..b4b0481c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_13.md @@ -0,0 +1,6 @@ +- # Highest Priority + - DONE Fix CT255 Assignment. + - DONE ST2001 Assignment 5. Due: 2022-11-14 15:00. + background-color:: red + - DONE Laundry + - DONE Tidy room \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_14.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_14.md new file mode 100644 index 00000000..e69de29b diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_15.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_15.md new file mode 100644 index 00000000..e69de29b diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_16.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_16.md new file mode 100644 index 00000000..e69de29b diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_17.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_17.md new file mode 100644 index 00000000..e69de29b diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_18.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_18.md new file mode 100644 index 00000000..e69de29b diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_19.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_19.md new file mode 100644 index 00000000..51d8a115 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_19.md @@ -0,0 +1,25 @@ +- # ストフ: + - ## 今週 + - TODO CT213 Assignment 2. Due: 2022-11-25 17:00. + background-color:: yellow + - TODO Writeup. + - TODO MA284 Assignment 5. Due: 2022-11-25 17:00. + background-color:: red + :LOGBOOK: + CLOCK: [2022-11-18 Fri 17:24:46]--[2022-11-18 Fri 18:20:24] => 00:55:38 + CLOCK: [2022-11-19 Sat 17:48:39]--[2022-11-21 Mon 07:33:03] => 37:44:24 + :END: + - TODO CT255 Assignment 4. Due: 2022-11-25 23:59. + background-color:: red + :LOGBOOK: + CLOCK: [2022-11-16 Wed 18:55:47]--[2022-11-17 Thu 09:08:37] => 14:12:50 + :END: + - ## Later + - TODO ST2001 Final Assignment. Due: 2022-11-28 15:00. + background-color:: red + - TODO ST2001 Sample Exam. Due: 2022-12-14 23:59. + background-color:: yellow + - +- # タスク。 + - TODO Studenet leap card + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_20.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_20.md new file mode 100644 index 00000000..3cf20d57 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_20.md @@ -0,0 +1 @@ +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_21.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_21.md new file mode 100644 index 00000000..e69de29b diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_22.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_22.md new file mode 100644 index 00000000..3cf20d57 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_22.md @@ -0,0 +1 @@ +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_23.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_23.md new file mode 100644 index 00000000..e69de29b diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_24.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_24.md new file mode 100644 index 00000000..a637c013 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_24.md @@ -0,0 +1,22 @@ +- # ストフ: + - ## 今週 + - TODO CT213 Assignment 2. Due: 2022-11-25 17:00. (Do Wednesday). + background-color:: yellow + - DONE Finish Application. + - TODO Writeup. + - TODO CT255 Assignment 4. Due: 2022-11-25 23:59. + background-color:: red + :LOGBOOK: + CLOCK: [2022-11-16 Wed 18:55:47]--[2022-11-17 Thu 09:08:37] => 14:12:50 + :END: + - ## Later + - TODO ST2001 Final Assignment. Due: 2022-11-28 15:00. + background-color:: red + - TODO ST2001 Sample Exam. Due: 2022-12-14 23:59. + background-color:: yellow + - +- | **日** | **Task** | + | 木曜日 | CT213 Assignment 2 | + | 金曜日 | CT255 Assignment 4 | + | 金曜日 | 日本語 | + | 土曜日 | ST2001 Final Assignment | \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_25.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_25.md new file mode 100644 index 00000000..66bd2244 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_25.md @@ -0,0 +1,2 @@ +- slowdive music video, mars argo, ukiyo by oceans ate alaska, inspiral carpets, sleep deprivation, up til 5am, ancient youtube videos and shiey freedom, trainhopping dying llama, stealing beer, maths homework, texting miska, sneaking out at 4am, ripstik, cold air, +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_27.md b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_27.md new file mode 100644 index 00000000..2f1175e5 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/journals_2022_11_27.md @@ -0,0 +1,6 @@ +- General Study Plan: + - Flashcard 0 everyday. + - Study a subject per day. + - Revise subject slides. + - Do exam paper. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc%2Flocal%2Fuibk%2Flocal%2F0.md b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc%2Flocal%2Fuibk%2Flocal%2F0.md new file mode 100644 index 00000000..66b7e7fe --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc%2Flocal%2Fuibk%2Flocal%2F0.md @@ -0,0 +1,3 @@ +title:: : https://dbis-uibk.github.io/relax/calc/local/uibk/local/0 + +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc%2Flocal%2Fuibk%2Flocal.md b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc%2Flocal%2Fuibk%2Flocal.md new file mode 100644 index 00000000..3d84c246 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc%2Flocal%2Fuibk%2Flocal.md @@ -0,0 +1 @@ +title:: : https://dbis-uibk.github.io/relax/calc/local/uibk/local diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc%2Flocal%2Fuibk.md b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc%2Flocal%2Fuibk.md new file mode 100644 index 00000000..53d36028 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc%2Flocal%2Fuibk.md @@ -0,0 +1 @@ +title:: : https://dbis-uibk.github.io/relax/calc/local/uibk diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc%2Flocal.md b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc%2Flocal.md new file mode 100644 index 00000000..a3eefc97 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc%2Flocal.md @@ -0,0 +1 @@ +title:: : https://dbis-uibk.github.io/relax/calc/local diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc.md b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc.md new file mode 100644 index 00000000..6e4a03d2 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax%2Fcalc.md @@ -0,0 +1 @@ +title:: : https://dbis-uibk.github.io/relax/calc diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax.md b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax.md new file mode 100644 index 00000000..18e32937 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io%2Frelax.md @@ -0,0 +1 @@ +title:: : https://dbis-uibk.github.io/relax diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io.md b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io.md new file mode 100644 index 00000000..a7a5634f --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A%2F%2Fdbis-uibk.github.io.md @@ -0,0 +1 @@ +title:: : https://dbis-uibk.github.io diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A.md b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A.md new file mode 100644 index 00000000..3cf20d57 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/pages_%3A https%3A.md @@ -0,0 +1 @@ +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_Chapter 11 かんじ.md b/second/semester1/logseq-stuff/logseq/.recycle/pages_Chapter 11 かんじ.md new file mode 100644 index 00000000..0296026a --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/pages_Chapter 11 かんじ.md @@ -0,0 +1,8 @@ +- # 目 #card + - **目** (め、チク) -> eye(s). + - **科目** (かもく) -> subject. + - **注目** (ちゅうまく) -> attention. +- # 見 #card + - **見る** (みーる) -> look, see. + - **花見** (はなみ) -> flower, viewing. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_Composition & Scenarios.md b/second/semester1/logseq-stuff/logseq/.recycle/pages_Composition & Scenarios.md new file mode 100644 index 00000000..4965ae3e --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/pages_Composition & Scenarios.md @@ -0,0 +1,6 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** +- **Next Topic:** null +- **Relevant Slides:** ![Lecture03.pdf](../assets/Lecture03_1663270555849_0.pdf) +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_MA284 Assignment 1.md b/second/semester1/logseq-stuff/logseq/.recycle/pages_MA284 Assignment 1.md new file mode 100644 index 00000000..48043590 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/pages_MA284 Assignment 1.md @@ -0,0 +1,2 @@ +- ## +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_Study Timetable.md b/second/semester1/logseq-stuff/logseq/.recycle/pages_Study Timetable.md new file mode 100644 index 00000000..006b06bf --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/pages_Study Timetable.md @@ -0,0 +1,11 @@ +- #Timetables +- | **Day** | **Subject** | **Extra-Curricular** | + | :--- | :----: | ---: | + | Monday | [[CT213 - Computer Systems & Organisation]] | | + | Tuesday | [[CT230 - Database Systems I]] | | + | Wednesday | [[MA284 - Discrete Mathematics]] | [[Irish Sign Language]] | + | Thursday | [[CT216 - Software Engineering I]] | | + | Friday | [[CT2106 - Object-Oriented Programming]] | [[]] | + | Saturday | [[ST2001 - Statistics in Data Science I]] | | + | Sunday | [[CT255 - Next Generation Technologies II]] | | +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_Timetables.md b/second/semester1/logseq-stuff/logseq/.recycle/pages_Timetables.md new file mode 100644 index 00000000..a79d06dc --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/.recycle/pages_Timetables.md @@ -0,0 +1,2 @@ +- [[Study Timetable]] +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/.recycle/pages_University Todo.md 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"endArrowhead": null, + "points": [ + [ + 0, + 0 + ], + [ + 59.336669921875, + -52.946502685546875 + ] + ] + } + ], + "appState": { + "gridSize": null, + "viewBackgroundColor": "#FFF" + } +} \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_11/2022-09-12T11_56_37.220Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_11/2022-09-12T11_56_37.220Z.Desktop.md new file mode 100644 index 00000000..26e97f2d --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_11/2022-09-12T11_56_37.220Z.Desktop.md @@ -0,0 +1,15 @@ +- LATER Learn set notation in katex +- DONE Check ST2001 survey stats + :LOGBOOK: + CLOCK: [2022-09-11 Sun 09:22:57]--[2022-09-11 Sun 09:24:00] => 00:01:03 + :END: +- DONE Check ST2001 Blackboard for assignments + :LOGBOOK: + CLOCK: [2022-09-11 Sun 09:23:02]--[2022-09-11 Sun 09:33:05] => 00:10:03 + :END: + - DONE Do assignment +- DOING Laundry + :LOGBOOK: + CLOCK: [2022-09-11 Sun 17:35:54] + :END: +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_16/2022-09-16T09_01_15.127Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_16/2022-09-16T09_01_15.127Z.Desktop.md new file mode 100644 index 00000000..92f48f45 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_16/2022-09-16T09_01_15.127Z.Desktop.md @@ -0,0 +1,3 @@ +- TODO PDF unite script +- TODO Merge PDFs from Week 1 and Week 2 +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_16/2022-09-16T09_59_15.501Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_16/2022-09-16T09_59_15.501Z.Desktop.md new file mode 100644 index 00000000..92f48f45 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_16/2022-09-16T09_59_15.501Z.Desktop.md @@ -0,0 +1,3 @@ +- TODO PDF unite script +- TODO Merge PDFs from Week 1 and Week 2 +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_16/2022-09-17T14_38_29.990Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_16/2022-09-17T14_38_29.990Z.Desktop.md new file mode 100644 index 00000000..92f48f45 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_16/2022-09-17T14_38_29.990Z.Desktop.md @@ -0,0 +1,3 @@ +- TODO PDF unite script +- TODO Merge PDFs from Week 1 and Week 2 +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_24/2022-09-27T10_08_55.497Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_24/2022-09-27T10_08_55.497Z.Desktop.md new file mode 100644 index 00000000..b9df7e43 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_24/2022-09-27T10_08_55.497Z.Desktop.md @@ -0,0 +1,25 @@ +- Idea for 日本語 かんじ input: + - # Kanji + - ## 日 (for example) # card + - **うん Reading:** ひ。 + - **くん Reading:** に。 + - **Meaning:** Sun, day. + - **Strokes:** 5. + - ### Vocabulary + - **日曜日 ->** Sunday. + - +- DOING CT2106 Assignment 1 + :LOGBOOK: + CLOCK: [2022-09-24 Sat 17:55:48] + CLOCK: [2022-09-24 Sat 17:55:50] + :END: + - DUE 2022年09月30日 金曜日 23:59 + - DONE Watch Lecture 2 + - DONE Lecture Slides + - DONE Lecture 1 Slides + :LOGBOOK: + CLOCK: [2022-09-24 Sat 18:32:35]--[2022-09-24 Sat 18:32:36] => 00:00:01 + :END: + - DONE Lecture 2 Slides +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_24/2022-09-27T11_50_47.795Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_24/2022-09-27T11_50_47.795Z.Desktop.md new file mode 100644 index 00000000..b9df7e43 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_24/2022-09-27T11_50_47.795Z.Desktop.md @@ -0,0 +1,25 @@ +- Idea for 日本語 かんじ input: + - # Kanji + - ## 日 (for example) # card + - **うん Reading:** ひ。 + - **くん Reading:** に。 + - **Meaning:** Sun, day. + - **Strokes:** 5. + - ### Vocabulary + - **日曜日 ->** Sunday. + - +- DOING CT2106 Assignment 1 + :LOGBOOK: + CLOCK: [2022-09-24 Sat 17:55:48] + CLOCK: [2022-09-24 Sat 17:55:50] + :END: + - DUE 2022年09月30日 金曜日 23:59 + - DONE Watch Lecture 2 + - DONE Lecture Slides + - DONE Lecture 1 Slides + :LOGBOOK: + CLOCK: [2022-09-24 Sat 18:32:35]--[2022-09-24 Sat 18:32:36] => 00:00:01 + :END: + - DONE Lecture 2 Slides +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_24/2022-09-27T13_09_31.376Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_24/2022-09-27T13_09_31.376Z.Desktop.md new file mode 100644 index 00000000..b9df7e43 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_24/2022-09-27T13_09_31.376Z.Desktop.md @@ -0,0 +1,25 @@ +- Idea for 日本語 かんじ input: + - # Kanji + - ## 日 (for example) # card + - **うん Reading:** ひ。 + - **くん Reading:** に。 + - **Meaning:** Sun, day. + - **Strokes:** 5. + - ### Vocabulary + - **日曜日 ->** Sunday. + - +- DOING CT2106 Assignment 1 + :LOGBOOK: + CLOCK: [2022-09-24 Sat 17:55:48] + CLOCK: [2022-09-24 Sat 17:55:50] + :END: + - DUE 2022年09月30日 金曜日 23:59 + - DONE Watch Lecture 2 + - DONE Lecture Slides + - DONE Lecture 1 Slides + :LOGBOOK: + CLOCK: [2022-09-24 Sat 18:32:35]--[2022-09-24 Sat 18:32:36] => 00:00:01 + :END: + - DONE Lecture 2 Slides +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_24/2022-09-29T09_57_09.797Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_24/2022-09-29T09_57_09.797Z.Desktop.md new file mode 100644 index 00000000..1721bd87 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_24/2022-09-29T09_57_09.797Z.Desktop.md @@ -0,0 +1,11 @@ +- Idea for 日本語 かんじ input: + - # Kanji + - ## 日 (for example) # card + - **うん Reading:** ひ。 + - **くん Reading:** に。 + - **Meaning:** Sun, day. + - **Strokes:** 5. + - ### Vocabulary + - **日曜日 ->** Sunday. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-26T15_56_07.810Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-26T15_56_07.810Z.Desktop.md new file mode 100644 index 00000000..4fc5821e --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-26T15_56_07.810Z.Desktop.md @@ -0,0 +1,18 @@ +- ## Lectures + - TODO CT255 Lecture Notes + - TODO CT213 Lecture Notes + - TODO Lecture 1 + - TODO Lecture 2 + - TODO ST2001 Lecture Notes + - TODO Last week's + - TODO This week's +- +- ## Assignments + - TODO Finish CT2106 Assignment 1 + - TODO ST2001 Lab Assignment + - TODO CT255 Assignment 1 + - DONE Finish CT230 Lab Assignment + :LOGBOOK: + CLOCK: [2022-09-26 Mon 12:26:06]--[2022-09-26 Mon 12:33:29] => 00:07:23 + :END: + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-27T10_08_55.501Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-27T10_08_55.501Z.Desktop.md new file mode 100644 index 00000000..f4b14fa3 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-27T10_08_55.501Z.Desktop.md @@ -0,0 +1,32 @@ +- ## Lectures + collapsed:: true + - DONE CT255 Lecture Notes + - DONE CT213 Lecture Notes + collapsed:: true + - nearly done + - DONE ST2001 Lecture Notes + collapsed:: true + - DONE Last week's + - DONE This week's + :LOGBOOK: + CLOCK: [2022-09-26 Mon 16:56:14]--[2022-09-26 Mon 16:56:15] => 00:00:01 + CLOCK: [2022-09-26 Mon 16:56:16]--[2022-09-26 Mon 16:56:17] => 00:00:01 + :END: +- +- ## Assignments + - DOING Finish CT2106 Assignment 1 + :LOGBOOK: + CLOCK: [2022-09-26 Mon 17:48:37] + :END: + - DONE Finish Code + :LOGBOOK: + CLOCK: [2022-09-26 Mon 16:03:43]--[2022-09-26 Mon 16:03:45] => 00:00:02 + :END: + - TODO Make PDF + - TODO ST2001 Lab Assignment + - TODO CT255 Assignment 1 + - DONE Finish CT230 Lab Assignment + :LOGBOOK: + CLOCK: [2022-09-26 Mon 12:26:06]--[2022-09-26 Mon 12:33:29] => 00:07:23 + :END: + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-27T11_50_47.798Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-27T11_50_47.798Z.Desktop.md new file mode 100644 index 00000000..f4b14fa3 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-27T11_50_47.798Z.Desktop.md @@ -0,0 +1,32 @@ +- ## Lectures + collapsed:: true + - DONE CT255 Lecture Notes + - DONE CT213 Lecture Notes + collapsed:: true + - nearly done + - DONE ST2001 Lecture Notes + collapsed:: true + - DONE Last week's + - DONE This week's + :LOGBOOK: + CLOCK: [2022-09-26 Mon 16:56:14]--[2022-09-26 Mon 16:56:15] => 00:00:01 + CLOCK: [2022-09-26 Mon 16:56:16]--[2022-09-26 Mon 16:56:17] => 00:00:01 + :END: +- +- ## Assignments + - DOING Finish CT2106 Assignment 1 + :LOGBOOK: + CLOCK: [2022-09-26 Mon 17:48:37] + :END: + - DONE Finish Code + :LOGBOOK: + CLOCK: [2022-09-26 Mon 16:03:43]--[2022-09-26 Mon 16:03:45] => 00:00:02 + :END: + - TODO Make PDF + - TODO ST2001 Lab Assignment + - TODO CT255 Assignment 1 + - DONE Finish CT230 Lab Assignment + :LOGBOOK: + CLOCK: [2022-09-26 Mon 12:26:06]--[2022-09-26 Mon 12:33:29] => 00:07:23 + :END: + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-27T13_09_31.378Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-27T13_09_31.378Z.Desktop.md new file mode 100644 index 00000000..f4b14fa3 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-27T13_09_31.378Z.Desktop.md @@ -0,0 +1,32 @@ +- ## Lectures + collapsed:: true + - DONE CT255 Lecture Notes + - DONE CT213 Lecture Notes + collapsed:: true + - nearly done + - DONE ST2001 Lecture Notes + collapsed:: true + - DONE Last week's + - DONE This week's + :LOGBOOK: + CLOCK: [2022-09-26 Mon 16:56:14]--[2022-09-26 Mon 16:56:15] => 00:00:01 + CLOCK: [2022-09-26 Mon 16:56:16]--[2022-09-26 Mon 16:56:17] => 00:00:01 + :END: +- +- ## Assignments + - DOING Finish CT2106 Assignment 1 + :LOGBOOK: + CLOCK: [2022-09-26 Mon 17:48:37] + :END: + - DONE Finish Code + :LOGBOOK: + CLOCK: [2022-09-26 Mon 16:03:43]--[2022-09-26 Mon 16:03:45] => 00:00:02 + :END: + - TODO Make PDF + - TODO ST2001 Lab Assignment + - TODO CT255 Assignment 1 + - DONE Finish CT230 Lab Assignment + :LOGBOOK: + CLOCK: [2022-09-26 Mon 12:26:06]--[2022-09-26 Mon 12:33:29] => 00:07:23 + :END: + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-28T08_06_59.936Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-28T08_06_59.936Z.Desktop.md new file mode 100644 index 00000000..22871990 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-28T08_06_59.936Z.Desktop.md @@ -0,0 +1,35 @@ +- ## Lectures + collapsed:: true + - DONE CT255 Lecture Notes + - DONE CT213 Lecture Notes + collapsed:: true + - nearly done + - DONE ST2001 Lecture Notes + collapsed:: true + - DONE Last week's + - DONE This week's + :LOGBOOK: + CLOCK: [2022-09-26 Mon 16:56:14]--[2022-09-26 Mon 16:56:15] => 00:00:01 + CLOCK: [2022-09-26 Mon 16:56:16]--[2022-09-26 Mon 16:56:17] => 00:00:01 + :END: +- +- ## Assignments + - DOING Finish CT2106 Assignment 1 + :LOGBOOK: + CLOCK: [2022-09-26 Mon 17:48:37] + :END: + - DONE Finish Code + :LOGBOOK: + CLOCK: [2022-09-26 Mon 16:03:43]--[2022-09-26 Mon 16:03:45] => 00:00:02 + :END: + - DOING Make PDF + :LOGBOOK: + CLOCK: [2022-09-27 Tue 09:31:32] + :END: + - TODO ST2001 Lab Assignment + - TODO CT255 Assignment 1 + - DONE Finish CT230 Lab Assignment + :LOGBOOK: + CLOCK: [2022-09-26 Mon 12:26:06]--[2022-09-26 Mon 12:33:29] => 00:07:23 + :END: + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-28T09_29_44.001Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-28T09_29_44.001Z.Desktop.md new file mode 100644 index 00000000..22871990 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_26/2022-09-28T09_29_44.001Z.Desktop.md @@ -0,0 +1,35 @@ +- ## Lectures + collapsed:: true + - DONE CT255 Lecture Notes + - DONE CT213 Lecture Notes + collapsed:: true + - nearly done + - DONE ST2001 Lecture Notes + collapsed:: true + - DONE Last week's + - DONE This week's + :LOGBOOK: + CLOCK: [2022-09-26 Mon 16:56:14]--[2022-09-26 Mon 16:56:15] => 00:00:01 + CLOCK: [2022-09-26 Mon 16:56:16]--[2022-09-26 Mon 16:56:17] => 00:00:01 + :END: +- +- ## Assignments + - DOING Finish CT2106 Assignment 1 + :LOGBOOK: + CLOCK: [2022-09-26 Mon 17:48:37] + :END: + - DONE Finish Code + :LOGBOOK: + CLOCK: [2022-09-26 Mon 16:03:43]--[2022-09-26 Mon 16:03:45] => 00:00:02 + :END: + - DOING Make PDF + :LOGBOOK: + CLOCK: [2022-09-27 Tue 09:31:32] + :END: + - TODO ST2001 Lab Assignment + - TODO CT255 Assignment 1 + - DONE Finish CT230 Lab Assignment + :LOGBOOK: + CLOCK: [2022-09-26 Mon 12:26:06]--[2022-09-26 Mon 12:33:29] => 00:07:23 + :END: + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_27/2022-09-27T18_52_25.894Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_27/2022-09-27T18_52_25.894Z.Desktop.md new file mode 100644 index 00000000..05ba202e --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_27/2022-09-27T18_52_25.894Z.Desktop.md @@ -0,0 +1,26 @@ +- # 大学 + - No laptop charger - critical path. + - ## CT213 + - DONE CT213 Quiz 4 + :LOGBOOK: + CLOCK: [2022-09-27 Tue 09:47:43]--[2022-09-27 Tue 09:48:45] => 00:01:02 + CLOCK: [2022-09-27 Tue 09:48:47]--[2022-09-27 Tue 09:48:48] => 00:00:01 + :END: + - TODO CT213 Lab 4 + - ## CT230 + - DONE `SELECT`: Working with strings & subqueries slides + - DOING CT230 Lab Week 4 - Problem Sheet 2 + :LOGBOOK: + CLOCK: [2022-09-27 Tue 12:56:14] + :END: + - DONE Sample Test 1 + - + - ## CT255 + - TODO Reflective Assignment 1 + - TODO Next Week's lecture notes - optional + - ## MA284 + - TODO Assignment 2 - optional for now + - TODO Combinatorial Proofs Lecture Slides - optional + - ## ST2001 + - TODO Lab Assignment Week 4 + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_27/2022-09-28T08_06_59.939Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_27/2022-09-28T08_06_59.939Z.Desktop.md new file mode 100644 index 00000000..05ba202e --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_27/2022-09-28T08_06_59.939Z.Desktop.md @@ -0,0 +1,26 @@ +- # 大学 + - No laptop charger - critical path. + - ## CT213 + - DONE CT213 Quiz 4 + :LOGBOOK: + CLOCK: [2022-09-27 Tue 09:47:43]--[2022-09-27 Tue 09:48:45] => 00:01:02 + CLOCK: [2022-09-27 Tue 09:48:47]--[2022-09-27 Tue 09:48:48] => 00:00:01 + :END: + - TODO CT213 Lab 4 + - ## CT230 + - DONE `SELECT`: Working with strings & subqueries slides + - DOING CT230 Lab Week 4 - Problem Sheet 2 + :LOGBOOK: + CLOCK: [2022-09-27 Tue 12:56:14] + :END: + - DONE Sample Test 1 + - + - ## CT255 + - TODO Reflective Assignment 1 + - TODO Next Week's lecture notes - optional + - ## MA284 + - TODO Assignment 2 - optional for now + - TODO Combinatorial Proofs Lecture Slides - optional + - ## ST2001 + - TODO Lab Assignment Week 4 + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_27/2022-09-28T09_29_44.004Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_27/2022-09-28T09_29_44.004Z.Desktop.md new file mode 100644 index 00000000..05ba202e --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_09_27/2022-09-28T09_29_44.004Z.Desktop.md @@ -0,0 +1,26 @@ +- # 大学 + - No laptop charger - critical path. + - ## CT213 + - DONE CT213 Quiz 4 + :LOGBOOK: + CLOCK: [2022-09-27 Tue 09:47:43]--[2022-09-27 Tue 09:48:45] => 00:01:02 + CLOCK: [2022-09-27 Tue 09:48:47]--[2022-09-27 Tue 09:48:48] => 00:00:01 + :END: + - TODO CT213 Lab 4 + - ## CT230 + - DONE `SELECT`: Working with strings & subqueries slides + - DOING CT230 Lab Week 4 - Problem Sheet 2 + :LOGBOOK: + CLOCK: [2022-09-27 Tue 12:56:14] + :END: + - DONE Sample Test 1 + - + - ## CT255 + - TODO Reflective Assignment 1 + - TODO Next Week's lecture notes - optional + - ## MA284 + - TODO Assignment 2 - optional for now + - TODO Combinatorial Proofs Lecture Slides - optional + - ## ST2001 + - TODO Lab Assignment Week 4 + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_10_18/2022-10-20T14_17_45.688Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_10_18/2022-10-20T14_17_45.688Z.Desktop.md new file mode 100644 index 00000000..aeff724e --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_10_18/2022-10-20T14_17_45.688Z.Desktop.md @@ -0,0 +1,5 @@ +- + - +- https://www.earthcam.com/world/ireland/dublin/?cam=templebar +- https://yewtu.be/watch?v=i3Lzj3sS-wg +- https://www.tepco.co.jp/decommission/progress/about/livecamera/index-j.html \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_10_24/2022-10-26T11_13_38.115Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_10_24/2022-10-26T11_13_38.115Z.Desktop.md new file mode 100644 index 00000000..aeb0795b --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_10_24/2022-10-26T11_13_38.115Z.Desktop.md @@ -0,0 +1,19 @@ +- TODO CT213 Last week's slides + - TODO Download + - TODO take notes +- +- # Tasks (In Order of Importance) + - DONE CT255 Assignment 1 - Breaking Hash Functions. Due: 2022年10月23日 23:59。 + - TODO ST2001 Assignment 4. Due: 2022年10月27日 15:00。 + :LOGBOOK: + CLOCK: [2022-10-20 Thu 16:18:09]--[2022-10-20 Thu 16:18:10] => 00:00:01 + :END: + - got 85% last attempt. cunts. + - TODO CT2106 Assignment 3. Due: 2022年10月28日 23:59。 + - TODO CT255 Assignment 2 - Rainbow Tables. Due: 2022年10月30日 23:59。 + - TODO CT213 Assignment 1. Due 2022年11月04日 17:00。 + - TODO MA284 Assignment 3. Due: 2022年11月04日 23:00。 +- +- **CT213 Idea:** store the count of late trains etc. and visualize em using grafana + background-color:: pink +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_10_24/2022-10-31T20_30_15.889Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_10_24/2022-10-31T20_30_15.889Z.Desktop.md new file mode 100644 index 00000000..76a937e9 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_10_24/2022-10-31T20_30_15.889Z.Desktop.md @@ -0,0 +1,22 @@ +- TODO CT213 Last week's slides + - TODO Download + - TODO take notes +- +- # Tasks (In Order of Importance) + - DONE CT255 Assignment 1 - Breaking Hash Functions. Due: 2022年10月23日 23:59。 + - DONE ST2001 Assignment 4. Due: 2022年10月27日 15:00。 + :LOGBOOK: + CLOCK: [2022-10-20 Thu 16:18:09]--[2022-10-20 Thu 16:18:10] => 00:00:01 + :END: + - got 95% last attempt. + - TODO CT2106 Assignment 3. Due: 2022年10月28日 23:59。 + - TODO CT255 Assignment 2 - Rainbow Tables. Due: 2022年11月01日 23:59。 + - TODO CT213 Assignment 1. Due 2022年11月04日 17:00。 + - TODO MA284 Assignment 3. Due: 2022年11月04日 23:00。 + :LOGBOOK: + CLOCK: [2022-10-26 Wed 10:09:57]--[2022-10-27 Thu 10:05:58] => 23:56:01 + :END: +- +- **CT213 Idea:** store the count of late trains etc. and visualize em using grafana + background-color:: pink +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_08/2022-11-10T07_51_39.987Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_08/2022-11-10T07_51_39.987Z.Desktop.md new file mode 100644 index 00000000..21159b26 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_08/2022-11-10T07_51_39.987Z.Desktop.md @@ -0,0 +1,56 @@ +- # ストフ: + - TODO CT216 Lecture Notes. Due: 2022-11-10 13:00. + background-color:: yellow + - TODO Functions Slides. + background-color:: yellow + - TODO Objects Slides. + background-color:: yellow + - TODO Intro to node slides. + background-color:: yellow + - TODO deploying to firebase slides. + background-color:: yellow + - TODO CT213 Labs. Due: 2022-11-10 16:00. + background-color:: yellow + - TODO Week 8 Lab. + background-color:: yellow + - TODO Week 9 Lab. + background-color:: yellow + - TODO CT255 Assignment 3 - Steganography. Due: 2022-11-13 23:59. + background-color:: red + - TODO ST2001 Assignment 5. Due: 2022-11-14 15:00. + background-color:: red + - TODO ST2001 Lecture Notes. Due: 2022-11-14 16:00. + background-color:: green + - TODO Discrete Probability Distributions. + background-color:: green + - TODO Normal Distribution. + background-color:: green + - TODO Sampling Distribution & Confidence Intervals. + background-color:: green + - TODO Hypothesis Testing. + background-color:: green + - TODO ST2001 Labs. Due: 2022-11-14 17:00. + background-color:: gray + - TODO Lab 5. + background-color:: gray + - TODO Lab 6. + background-color:: gray + - TODO Lab 7. + background-color:: gray + :LOGBOOK: + CLOCK: [2022-11-05 Sat 16:17:40]--[2022-11-05 Sat 16:17:41] => 00:00:01 + :END: + - TODO Lab 8. + background-color:: gray + - TODO Lab 9. + background-color:: gray + - TODO CT2106 Assignment 4. Due: 2022-11-18 23:59. + background-color:: red + - TODO MA284 Assignment 4. Due: 2022-11-21 17:00. + background-color:: red + - TODO CT213 Assignment 2. Due: 2022-11-25 17:00. + background-color:: red + - TODO CT255 Assignment 4. Due: 2022-11-25 23:59. + background-color:: red + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_10/2022-11-10T12_58_13.862Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_10/2022-11-10T12_58_13.862Z.Desktop.md new file mode 100644 index 00000000..668e6166 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_10/2022-11-10T12_58_13.862Z.Desktop.md @@ -0,0 +1,46 @@ +- # ストフ: + - TODO CT255 Assignment 3 - Steganography. Due: 2022-11-13 23:59. + background-color:: red + - TODO ST2001 Assignment 5. Due: 2022-11-14 15:00. + background-color:: red + - TODO ST2001 Lecture Notes. Due: 2022-11-14 16:00. + background-color:: green + - DONE [[Discrete Probability Distributions: Binomial & Poisson]] . + background-color:: green + - DONE [[The Normal Distribution]] . + background-color:: green + :LOGBOOK: + CLOCK: [2022-11-10 Thu 08:08:11]--[2022-11-10 Thu 08:16:35] => 00:08:24 + :END: + - TODO [[Sampling Distributions & Confidence Intervals]] . + background-color:: green + :LOGBOOK: + CLOCK: [2022-11-10 Thu 07:52:48]--[2022-11-10 Thu 07:52:48] => 00:00:00 + CLOCK: [2022-11-10 Thu 08:16:41]--[2022-11-10 Thu 08:37:03] => 00:20:22 + :END: + - TODO [[Hypothesis Testing]] . + background-color:: green + - TODO ST2001 Labs. Due: 2022-11-14 17:00. + background-color:: gray + - TODO Lab 5. + background-color:: gray + - TODO Lab 6. + background-color:: gray + - TODO Lab 7. + background-color:: gray + :LOGBOOK: + CLOCK: [2022-11-05 Sat 16:17:40]--[2022-11-05 Sat 16:17:41] => 00:00:01 + :END: + - TODO Lab 8. + background-color:: gray + - TODO Lab 9. + background-color:: gray + - TODO CT2106 Assignment 4. Due: 2022-11-18 23:59. + background-color:: red + - TODO MA284 Assignment 4. Due: 2022-11-21 17:00. + background-color:: red + - TODO CT213 Assignment 2. Due: 2022-11-25 17:00. + background-color:: red + - TODO CT255 Assignment 4. Due: 2022-11-25 23:59. + background-color:: red + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_10/2022-11-10T15_58_09.673Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_10/2022-11-10T15_58_09.673Z.Desktop.md new file mode 100644 index 00000000..668e6166 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_10/2022-11-10T15_58_09.673Z.Desktop.md @@ -0,0 +1,46 @@ +- # ストフ: + - TODO CT255 Assignment 3 - Steganography. Due: 2022-11-13 23:59. + background-color:: red + - TODO ST2001 Assignment 5. Due: 2022-11-14 15:00. + background-color:: red + - TODO ST2001 Lecture Notes. Due: 2022-11-14 16:00. + background-color:: green + - DONE [[Discrete Probability Distributions: Binomial & Poisson]] . + background-color:: green + - DONE [[The Normal Distribution]] . + background-color:: green + :LOGBOOK: + CLOCK: [2022-11-10 Thu 08:08:11]--[2022-11-10 Thu 08:16:35] => 00:08:24 + :END: + - TODO [[Sampling Distributions & Confidence Intervals]] . + background-color:: green + :LOGBOOK: + CLOCK: [2022-11-10 Thu 07:52:48]--[2022-11-10 Thu 07:52:48] => 00:00:00 + CLOCK: [2022-11-10 Thu 08:16:41]--[2022-11-10 Thu 08:37:03] => 00:20:22 + :END: + - TODO [[Hypothesis Testing]] . + background-color:: green + - TODO ST2001 Labs. Due: 2022-11-14 17:00. + background-color:: gray + - TODO Lab 5. + background-color:: gray + - TODO Lab 6. + background-color:: gray + - TODO Lab 7. + background-color:: gray + :LOGBOOK: + CLOCK: [2022-11-05 Sat 16:17:40]--[2022-11-05 Sat 16:17:41] => 00:00:01 + :END: + - TODO Lab 8. + background-color:: gray + - TODO Lab 9. + background-color:: gray + - TODO CT2106 Assignment 4. Due: 2022-11-18 23:59. + background-color:: red + - TODO MA284 Assignment 4. Due: 2022-11-21 17:00. + background-color:: red + - TODO CT213 Assignment 2. Due: 2022-11-25 17:00. + background-color:: red + - TODO CT255 Assignment 4. Due: 2022-11-25 23:59. + background-color:: red + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_10/2022-11-10T19_23_43.720Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_10/2022-11-10T19_23_43.720Z.Desktop.md new file mode 100644 index 00000000..668e6166 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_10/2022-11-10T19_23_43.720Z.Desktop.md @@ -0,0 +1,46 @@ +- # ストフ: + - TODO CT255 Assignment 3 - Steganography. Due: 2022-11-13 23:59. + background-color:: red + - TODO ST2001 Assignment 5. Due: 2022-11-14 15:00. + background-color:: red + - TODO ST2001 Lecture Notes. Due: 2022-11-14 16:00. + background-color:: green + - DONE [[Discrete Probability Distributions: Binomial & Poisson]] . + background-color:: green + - DONE [[The Normal Distribution]] . + background-color:: green + :LOGBOOK: + CLOCK: [2022-11-10 Thu 08:08:11]--[2022-11-10 Thu 08:16:35] => 00:08:24 + :END: + - TODO [[Sampling Distributions & Confidence Intervals]] . + background-color:: green + :LOGBOOK: + CLOCK: [2022-11-10 Thu 07:52:48]--[2022-11-10 Thu 07:52:48] => 00:00:00 + CLOCK: [2022-11-10 Thu 08:16:41]--[2022-11-10 Thu 08:37:03] => 00:20:22 + :END: + - TODO [[Hypothesis Testing]] . + background-color:: green + - TODO ST2001 Labs. Due: 2022-11-14 17:00. + background-color:: gray + - TODO Lab 5. + background-color:: gray + - TODO Lab 6. + background-color:: gray + - TODO Lab 7. + background-color:: gray + :LOGBOOK: + CLOCK: [2022-11-05 Sat 16:17:40]--[2022-11-05 Sat 16:17:41] => 00:00:01 + :END: + - TODO Lab 8. + background-color:: gray + - TODO Lab 9. + background-color:: gray + - TODO CT2106 Assignment 4. Due: 2022-11-18 23:59. + background-color:: red + - TODO MA284 Assignment 4. Due: 2022-11-21 17:00. + background-color:: red + - TODO CT213 Assignment 2. Due: 2022-11-25 17:00. + background-color:: red + - TODO CT255 Assignment 4. Due: 2022-11-25 23:59. + background-color:: red + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_17/2022-11-18T14_14_29.759Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_17/2022-11-18T14_14_29.759Z.Desktop.md new file mode 100644 index 00000000..245c95c0 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/journals/2022_11_17/2022-11-18T14_14_29.759Z.Desktop.md @@ -0,0 +1,28 @@ +- # ストフ: + - ## 今週 + - TODO CT2106 Assignment 4. Due: 2022-11-18 23:59. + background-color:: red + :LOGBOOK: + CLOCK: [2022-11-17 Thu 14:37:25]--[2022-11-17 Thu 19:07:02] => 04:29:37 + :END: + - TODO 日本語 Homework. Due: 2022-11-19 12:00. + - ## 次の週 + - TODO MA284 Assignment 4. Due: 2022-11-21 17:00. + background-color:: red + - TODO CT213 Assignment 2. Due: 2022-11-25 17:00. + background-color:: yellow + - TODO Writeup. + - DONE CTRL + C Trapping. + - TODO MA284 Assignment 5. Due: 2022-11-25 17:00. + background-color:: red + - TODO CT255 Assignment 4. Due: 2022-11-25 23:59. + background-color:: red + :LOGBOOK: + CLOCK: [2022-11-16 Wed 18:55:47]--[2022-11-17 Thu 09:08:37] => 14:12:50 + :END: + - ## Later + - TODO ST2001 Final Assignment. Due: 2022-11-28 15:00. + background-color:: red + - TODO ST2001 Sample Exam. 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![MA284-Week06.pdf](../assets/MA284-Week06_1665576169094_0.pdf) +- +- # Advanced Counting Using PIE + collapsed:: true + - The PIE works for larger number of sets than 2 and 3, although it gets a little messy to write down. + - For 4 sets, we can think of it as: + - $|A \cup B \cup C \cup D| =$ (the sum of the sizes of each single set) $-$ (the sum of the sizes of each **intersection** of 2 sets) $+$ (the sum of the sizes of each **intersection** of 3 sets) $-$ (the sum of the sizes of the **intersection** of all 4 sets). + - ## Example + - How many ways can we distribute 10 slices of pie to 4 kids that such that no kid gets more than 2 slices (and each slice is distributed)? [See [the textbook](https://discrete.openmathbooks.org/dmoi3/sec_advPIE.html) for a more detailed solution.] + - The answer is obviously 0 - there will be 2 slices leftover after each kid gets the maximum of 2 slices. + - Without the restriction that nobody gets more than 2 slices, there would be $\binom{13}{3} = 286$ ways of sharing distributing the slices ($10+4-1$ stars & $4-1$ bars). + - Now, count the number of ways where a child gets more than 2 slices, i.e. some child gets $\geq 3$ slices. + - $$\binom{4}{1} \binom{7+3}{3} = 4(120) = 480$$ + - (choose one of 4 kids)(number of ways of distributing). + - Add back in the doubly counted ones, subtracted the triply counted, + - + - $$\binom{13}{3} - \binom{4}{1} \binom{10}{3} + \binom{4}{2} \binom{7}{3} - \binom{4}{3} \binom{4}{3} + \binom{4}{4} \binom{1}{3} \\ = 286 - 480 +210 -16 = 0$$ + - ## Example + - Not all problems have such easy solutions. + - How many non-negative integer solutions are there to $x_1 + x_2 + x_3 +x_4 +x_5 = 13$ if: + - 1. There are no restrictions (other than $x_i$ being an **nni**). + 2. $0\leq x_i \leq 3$ for each $i$. + - 1. $$\displaystyle \binom{13+4}{4} = \binom{17}{4}$$ + - 2. Idea: All possibilities $-$ "the wrong ones", i.e., count the possibilities where at least one of the $x_i \geq 4$. + - $\binom{5}{1}$ ways pf choosing the $x_i$ and then number of solutions to $x_1+x_2+x_3+x_4+x_5 = 9$ is $\binom{9+4}{4} = \binom{13}{4}$, i.e. $\binom{5}{1} \binom{13}{4}$. + - But we have double counted, so number of solutions with two $x_i \ geq 4$ is $\binom{5}{2}$ choices and $x_1+x_2+x_3+x_4+x_5 = 5$ has $\binom{5+4}{4} = \binom{9}{4}$ solutions. + - Answer: $\displaystyle \binom{17}{4} - \binom{5}{1} \binom{13}{4} + \binom{5}{2}\binom{9}{4} - \binom{5}{3}\binom{5}{4} +0$. + - +- # Derangements + - What is a **derangement**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-20T19:47:44.301Z + card-last-reviewed:: 2022-11-17T09:47:44.301Z + card-last-score:: 5 + - A **derangement** is a permutation where no element is left in its original place, everything is moved. + - ## Example - Derangements of 4 Letters $\text{STARS}$. + - Let $D_n$ be the number of *derangements* of $n$ objects. + - First, we will work out the formulae for $D_1$, $D_2$, $D_3$, & $D_4$. + - $$D_1 = 0,\ D_2 = 1,\ D_3 = 2,\ D_4 = 9$$ + - We derive a formula using PIE. + - We know that there are $4!$ permutations. Which ones are **not** derangements? + - Suppose that one item (at least) is left in place. + - There are $$\displaystyle \binom{4}{1} \cdot 3!$$ such permutations. + - (choose one item to not change from four)(number of ways of permutating the other items). + - However, some of these will be counted twice. + - So, by PIE, the answer is + - $$D_4 = 4! - \binom{4}{1}3! + \binom{4}{2}2!-\binom{4}{3}1!+\binom{4}{4}0!$$ + - $$D_4 = 4! - \frac{4!3!}{1!3!} +\frac{4!2!}{2!2!}-\frac{4!1!}{3!1!} + \frac{4!0!}{4!0!}$$ + - $$D_4 = 4![1-\frac{1}{1!}+\frac{1}{2!}-\frac{1}{3!}+\frac{1}{4!}] = 9$$ + - In general, the formula for $D_n$, the number of derangements of $n$ objects is + - $$D_n = n!(1-\frac{1}{1!}+\frac{1}{2!}-\frac{1}{3!}+ \dots + (-1)^n \frac{1}{n!})$$ + - Note that the series expansion for e^x is + - $$e^x = 1 + \frac{x}{1!} +\frac{x^2}{2!}+\frac{x^3}{3!} + \dots$$ + - So $$\displaystyle e^{-1} = 1 - \frac{1}{1!} + \frac{1}{2!}-\frac{1}{3!}+ \dots$$ + - So $$\displaystyle \lim_{n \to \infty} \frac{D_n}{n!} = e^{-1} \approx 0.36787$$ +- # Counting with Repetitions + - What is a **Multinomial Coefficient**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:07:58.830Z + card-last-score:: 1 + - The number of different permutations of $n$ objects, where there are $n_1$ indistinguishable objects of Type 1, $n_2$ indistinguishable objects of Type 2, ..., and $n_k$ indistinguishable objects of Type $k$, is + - $$\frac{n!}{(n_1!)(n_2!) \dots (n_k!)}$$ + - ## Example + - How many "words" can we make from the letters in the set $\{R,O,S,C,O,M,M,O,N\}$. + - If somehow the three $O$s were all distinguishable, and the two $M$s were distinguishable, the answer would be $9!$. + - But, since we can't distinguish the identical letters, + - Let's choose which of the 9 positions in which we place the three $O$s. + - This can be done in $$\displaystyle \binom{9}{3}$$ ways. + - Now, let's choose which of the remaining 6 positions in which we place the two $M$s. + - This can be done in $$\displaystyle \binom{6}{2}$$ ways. + - Finally, let's choose where to replace the remaining 4 letters. + - This can be done in $$4!$$ ways. + - By the Multiplicative Principle, the answer is + - $$\binom{9}{3}\binom{6}{2}4! = \frac{9!}{3!6!} \frac{6!}{2!}{4!} 4! = \frac{9!}{3!2!}$$ +- # Example (MA284 Semester 1 Exam, 2014/2015) + - **(i) Find the number of different arrangements of the letters in the place name `WOLLONGONG`.** + - `OOOLLNNGGW` + - $$\frac{10!}{3!2!2!2!1!} = 75600$$ + - **(ii) How many of these arrangements start with three `O`s?** + - `OOO` (one way) and 7 others. + - $$\frac{7!}{2!2!2!} = 630$$ + - **(ii) How many contain the two `G`s consecutively?** + - Treat `GG` as a single letter and permute 9 letters. + - $$\frac{9!}{3!2!2!1!} = 15120$$ + - **(iv) How many *do not* contain the two `G`s consecutively?** + - Use **(i)** - **(iv)**. + - $$75600 - 15120 = 60480$$ +- # Counting Functions + - Recall that $f: A \rightarrow B$ is a **function** that maps every element of the set $A$ onto some element of set $B$. + - We call $A$ the **domain** & $B$ the **codomain**. + - Each element of $A$ gets mapped to exactly one element of $B$. + - What does it mean if $a$ is the **image** of $b$? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:17:52.154Z + card-last-score:: 1 + - If $f(a) = b$ where $a \in A$ and $b \in B$, we say that "the **image** of $a$ is $b$", or, equivalently, "$b$ is the **image** of $a$". + - What is a **surjective** function (surjection)? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:13:44.812Z + card-last-score:: 1 + - For some function $f: A \rightarrow B$, if every element of $B$ is the image of some element $A$, we say that the function is **surjective** (also called "**onto**"). + - What is an **injective** function (injection)? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:16:06.397Z + card-last-score:: 1 + - For some function $f: A \rightarrow B$, if no two elements of $A$ have the same image in $B$, we say that the function is **injective** (also called "one-to-one"). + - What is a **bijective** function (bijection)? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:09:58.766Z + card-last-reviewed:: 2022-11-14T20:09:58.766Z + card-last-score:: 5 + - The function $f: A \rightarrow B$ is a **bijection** if it is both **surjective** & **injective**. + - Then $f$ defines a **one-to-one correspondence** between $A$ & $B$ + - ## Examples + - **Let** $A$ **&** $B$ **be finite sets. How many functions** $f: A \rightarrow B$ **are there?** + - We can use ((6336be87-7dea-4ba3-b7d0-c77a73bae948)) to deduce that there are in total $|B|^{|A|}$ functions from $A$ to $B$. + - **How many functions** $f: A\{1,2,3,4,5,6,7,8\} \rightarrow \{1,2,3,4,5,6,7,8\}$ **are bijective**? + - Remember what it means for a function to be **bijective:** ^^each element in the codomain must be the image of **exactly one** element of the domain.^^ + - What we are really doing is just rearranging the elements of the codomain, so we are defining a **permutation** of 8 elements. + - Therefore, the answer to our question is 8!. + - More generally, there are $n!$ bijections of the set $\{1,2,\cdots, n\}$ onto itself. + - [[2022年10月19日]] + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Advanced PIE, Derangements, & Counting Functions/2022-11-23T12_15_36.855Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Advanced PIE, Derangements, & Counting Functions/2022-11-23T12_15_36.855Z.Desktop.md new file mode 100644 index 00000000..55d2785b --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Advanced PIE, Derangements, & Counting Functions/2022-11-23T12_15_36.855Z.Desktop.md @@ -0,0 +1,142 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Stars & Bars]] +- **Next Topic:** [[Introduction to Graph Theory]] +- **Relevant Slides:** ![MA284-Week06.pdf](../assets/MA284-Week06_1665576169094_0.pdf) +- +- # Advanced Counting Using PIE + collapsed:: true + - The PIE works for larger number of sets than 2 and 3, although it gets a little messy to write down. + - For 4 sets, we can think of it as: + - $|A \cup B \cup C \cup D| =$ (the sum of the sizes of each single set) $-$ (the sum of the sizes of each **intersection** of 2 sets) $+$ (the sum of the sizes of each **intersection** of 3 sets) $-$ (the sum of the sizes of the **intersection** of all 4 sets). + - ## Example + - How many ways can we distribute 10 slices of pie to 4 kids that such that no kid gets more than 2 slices (and each slice is distributed)? [See [the textbook](https://discrete.openmathbooks.org/dmoi3/sec_advPIE.html) for a more detailed solution.] + - The answer is obviously 0 - there will be 2 slices leftover after each kid gets the maximum of 2 slices. + - Without the restriction that nobody gets more than 2 slices, there would be $\binom{13}{3} = 286$ ways of sharing distributing the slices ($10+4-1$ stars & $4-1$ bars). + - Now, count the number of ways where a child gets more than 2 slices, i.e. some child gets $\geq 3$ slices. + - $$\binom{4}{1} \binom{7+3}{3} = 4(120) = 480$$ + - (choose one of 4 kids)(number of ways of distributing). + - Add back in the doubly counted ones, subtracted the triply counted, + - + - $$\binom{13}{3} - \binom{4}{1} \binom{10}{3} + \binom{4}{2} \binom{7}{3} - \binom{4}{3} \binom{4}{3} + \binom{4}{4} \binom{1}{3} \\ = 286 - 480 +210 -16 = 0$$ + - ## Example + - Not all problems have such easy solutions. + - How many non-negative integer solutions are there to $x_1 + x_2 + x_3 +x_4 +x_5 = 13$ if: + - 1. There are no restrictions (other than $x_i$ being an **nni**). + 2. $0\leq x_i \leq 3$ for each $i$. + - 1. $$\displaystyle \binom{13+4}{4} = \binom{17}{4}$$ + - 2. Idea: All possibilities $-$ "the wrong ones", i.e., count the possibilities where at least one of the $x_i \geq 4$. + - $\binom{5}{1}$ ways pf choosing the $x_i$ and then number of solutions to $x_1+x_2+x_3+x_4+x_5 = 9$ is $\binom{9+4}{4} = \binom{13}{4}$, i.e. $\binom{5}{1} \binom{13}{4}$. + - But we have double counted, so number of solutions with two $x_i \ geq 4$ is $\binom{5}{2}$ choices and $x_1+x_2+x_3+x_4+x_5 = 5$ has $\binom{5+4}{4} = \binom{9}{4}$ solutions. + - Answer: $\displaystyle \binom{17}{4} - \binom{5}{1} \binom{13}{4} + \binom{5}{2}\binom{9}{4} - \binom{5}{3}\binom{5}{4} +0$. + - +- # Derangements + - What is a **derangement**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-20T19:47:44.301Z + card-last-reviewed:: 2022-11-17T09:47:44.301Z + card-last-score:: 5 + - A **derangement** is a permutation where no element is left in its original place, everything is moved. + - ## Example - Derangements of 4 Letters $\text{STARS}$. + - Let $D_n$ be the number of *derangements* of $n$ objects. + - First, we will work out the formulae for $D_1$, $D_2$, $D_3$, & $D_4$. + - $$D_1 = 0,\ D_2 = 1,\ D_3 = 2,\ D_4 = 9$$ + - We derive a formula using PIE. + - We know that there are $4!$ permutations. Which ones are **not** derangements? + - Suppose that one item (at least) is left in place. + - There are $$\displaystyle \binom{4}{1} \cdot 3!$$ such permutations. + - (choose one item to not change from four)(number of ways of permutating the other items). + - However, some of these will be counted twice. + - So, by PIE, the answer is + - $$D_4 = 4! - \binom{4}{1}3! + \binom{4}{2}2!-\binom{4}{3}1!+\binom{4}{4}0!$$ + - $$D_4 = 4! - \frac{4!3!}{1!3!} +\frac{4!2!}{2!2!}-\frac{4!1!}{3!1!} + \frac{4!0!}{4!0!}$$ + - $$D_4 = 4![1-\frac{1}{1!}+\frac{1}{2!}-\frac{1}{3!}+\frac{1}{4!}] = 9$$ + - In general, the formula for $D_n$, the number of derangements of $n$ objects is + - $$D_n = n!(1-\frac{1}{1!}+\frac{1}{2!}-\frac{1}{3!}+ \dots + (-1)^n \frac{1}{n!})$$ + - Note that the series expansion for e^x is + - $$e^x = 1 + \frac{x}{1!} +\frac{x^2}{2!}+\frac{x^3}{3!} + \dots$$ + - So $$\displaystyle e^{-1} = 1 - \frac{1}{1!} + \frac{1}{2!}-\frac{1}{3!}+ \dots$$ + - So $$\displaystyle \lim_{n \to \infty} \frac{D_n}{n!} = e^{-1} \approx 0.36787$$ +- # Counting with Repetitions + - What is a **Multinomial Coefficient**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:07:58.830Z + card-last-score:: 1 + - The number of different permutations of $n$ objects, where there are $n_1$ indistinguishable objects of Type 1, $n_2$ indistinguishable objects of Type 2, ..., and $n_k$ indistinguishable objects of Type $k$, is + - $$\frac{n!}{(n_1!)(n_2!) \dots (n_k!)}$$ + - ## Example + - How many "words" can we make from the letters in the set $\{R,O,S,C,O,M,M,O,N\}$. + - If somehow the three $O$s were all distinguishable, and the two $M$s were distinguishable, the answer would be $9!$. + - But, since we can't distinguish the identical letters, + - Let's choose which of the 9 positions in which we place the three $O$s. + - This can be done in $$\displaystyle \binom{9}{3}$$ ways. + - Now, let's choose which of the remaining 6 positions in which we place the two $M$s. + - This can be done in $$\displaystyle \binom{6}{2}$$ ways. + - Finally, let's choose where to replace the remaining 4 letters. + - This can be done in $$4!$$ ways. + - By the Multiplicative Principle, the answer is + - $$\binom{9}{3}\binom{6}{2}4! = \frac{9!}{3!6!} \frac{6!}{2!}{4!} 4! = \frac{9!}{3!2!}$$ +- # Example (MA284 Semester 1 Exam, 2014/2015) + - **(i) Find the number of different arrangements of the letters in the place name `WOLLONGONG`.** + - `OOOLLNNGGW` + - $$\frac{10!}{3!2!2!2!1!} = 75600$$ + - **(ii) How many of these arrangements start with three `O`s?** + - `OOO` (one way) and 7 others. + - $$\frac{7!}{2!2!2!} = 630$$ + - **(ii) How many contain the two `G`s consecutively?** + - Treat `GG` as a single letter and permute 9 letters. + - $$\frac{9!}{3!2!2!1!} = 15120$$ + - **(iv) How many *do not* contain the two `G`s consecutively?** + - Use **(i)** - **(iv)**. + - $$75600 - 15120 = 60480$$ +- # Counting Functions + - Recall that $f: A \rightarrow B$ is a **function** that maps every element of the set $A$ onto some element of set $B$. + - We call $A$ the **domain** & $B$ the **codomain**. + - Each element of $A$ gets mapped to exactly one element of $B$. + - What does it mean if $a$ is the **image** of $b$? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:17:52.154Z + card-last-score:: 1 + - If $f(a) = b$ where $a \in A$ and $b \in B$, we say that "the **image** of $a$ is $b$", or, equivalently, "$b$ is the **image** of $a$". + - What is a **surjective** function (surjection)? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:13:44.812Z + card-last-score:: 1 + - For some function $f: A \rightarrow B$, if every element of $B$ is the image of some element $A$, we say that the function is **surjective** (also called "**onto**"). + - What is an **injective** function (injection)? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:16:06.397Z + card-last-score:: 1 + - For some function $f: A \rightarrow B$, if no two elements of $A$ have the same image in $B$, we say that the function is **injective** (also called "one-to-one"). + - What is a **bijective** function (bijection)? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:09:58.766Z + card-last-reviewed:: 2022-11-14T20:09:58.766Z + card-last-score:: 5 + - The function $f: A \rightarrow B$ is a **bijection** if it is both **surjective** & **injective**. + - Then $f$ defines a **one-to-one correspondence** between $A$ & $B$ + - ## Examples + - **Let** $A$ **&** $B$ **be finite sets. How many functions** $f: A \rightarrow B$ **are there?** + - We can use ((6336be87-7dea-4ba3-b7d0-c77a73bae948)) to deduce that there are in total $|B|^{|A|}$ functions from $A$ to $B$. + - **How many functions** $f: A\{1,2,3,4,5,6,7,8\} \rightarrow \{1,2,3,4,5,6,7,8\}$ **are bijective**? + - Remember what it means for a function to be **bijective:** ^^each element in the codomain must be the image of **exactly one** element of the domain.^^ + - What we are really doing is just rearranging the elements of the codomain, so we are defining a **permutation** of 8 elements. + - Therefore, the answer to our question is 8!. + - More generally, there are $n!$ bijections of the set $\{1,2,\cdots, n\}$ onto itself. + - [[2022年10月19日]] + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Aggregate Clauses, Group By, & Having Clauses/2022-10-07T08_33_33.289Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Aggregate Clauses, Group By, & Having Clauses/2022-10-07T08_33_33.289Z.Desktop.md new file mode 100644 index 00000000..df1d412f --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Aggregate Clauses, Group By, & Having Clauses/2022-10-07T08_33_33.289Z.Desktop.md @@ -0,0 +1,55 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[SQL SELECT: Working with Strings & Subqueries]] +- **Next Topic:** [[Entity Relationship Models]] +- **Relevant Slides:** ![Topic 6 SQL_DML_aggregateFns and Group By Having.pdf](../assets/Topic_6_SQL_DML_aggregateFns_and_Group_By_Having_1664362673690_0.pdf) +- +- # Aggregate Functions #card + card-last-interval:: 3.58 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-03T21:34:29.060Z + card-last-reviewed:: 2022-09-30T08:34:29.061Z + card-last-score:: 3 + - **Aggregate Functions** are only supported in `SELECT` clauses & `HAVING` clauses. + - Keywords `SUM`, `AVG`, `MIN`, `MAX` work as expected and can only be applied to **numeric** data. + - Keyword `COUNT` can be used to count the number of tuples / values / rows specified in a query. + - We can also use mathematical operations as part of an aggregate function on **numeric** data, e.g., `+`, `-`, `*`, `/`. +- # `GROUP BY` #card + card-last-interval:: 3.58 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-03T21:36:41.416Z + card-last-reviewed:: 2022-09-30T08:36:41.416Z + card-last-score:: 3 + - `GROUP BY ` + - The `GROUP BY` clause allows the grouping of rows of a table together so that all occurrences within a specified group are collected together. + - Aggregate clauses can then be applied to groups. + - ## Using Aggregate Functions with `GROUP BY` #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-06T23:00:00.000Z + card-last-reviewed:: 2022-10-06T09:42:27.555Z + card-last-score:: 1 + - The `GROUP BY` clause specifies the group and the aggregate function is applied to the group. + - `COUNT(*)` can be used to *count* the number of rows (tuples) in the specified groups. + - `SUM`, `AVG`, `MIN`, `MAX` can be used to find the sum, average, min, & max of a *numerical value* in a specified group. + - ^^**Important:** You must `GROUP BY` **all** attributes in the `SELECT` clause *unless* they are involved in an aggregation.^^ + - This **^^wouldn't work^^** as we do not `GROUP BY` all the attributes in the `SELECT` clause - `salary` remains ungrouped. + - ```SQL + SELECT dno, salary + FROM employee + GROUP BY dno -- THIS IS WRONG + ``` + - +- # `HAVING` #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T08:32:55.188Z + card-last-score:: 1 + - `HAVING ` + - The `HAVING` clause is used in conjunction with `GROUP BY` and allows the specification of **conditions on groups**. + - The column names in the `HAVING` clause must also appear in the `GROUP BY` list or be contained within an aggregate function, i.e., you cannot apply a `HAVING` condition to something that has not been calculated already. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Aggregate Clauses, Group By, & Having Clauses/2022-10-10T11_59_52.361Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Aggregate Clauses, Group By, & Having Clauses/2022-10-10T11_59_52.361Z.Desktop.md new file mode 100644 index 00000000..7c45ee59 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Aggregate Clauses, Group By, & Having Clauses/2022-10-10T11_59_52.361Z.Desktop.md @@ -0,0 +1,55 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[SQL SELECT: Working with Strings & Subqueries]] +- **Next Topic:** [[Entity Relationship Models]] +- **Relevant Slides:** ![Topic 6 SQL_DML_aggregateFns and Group By Having.pdf](../assets/Topic_6_SQL_DML_aggregateFns_and_Group_By_Having_1664362673690_0.pdf) +- +- # Aggregate Functions #card + card-last-interval:: 3.71 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T03:37:18.526Z + card-last-reviewed:: 2022-10-07T10:37:18.527Z + card-last-score:: 5 + - **Aggregate Functions** are only supported in `SELECT` clauses & `HAVING` clauses. + - Keywords `SUM`, `AVG`, `MIN`, `MAX` work as expected and can only be applied to **numeric** data. + - Keyword `COUNT` can be used to count the number of tuples / values / rows specified in a query. + - We can also use mathematical operations as part of an aggregate function on **numeric** data, e.g., `+`, `-`, `*`, `/`. +- # `GROUP BY` #card + card-last-interval:: 3.71 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T03:37:37.905Z + card-last-reviewed:: 2022-10-07T10:37:37.905Z + card-last-score:: 5 + - `GROUP BY ` + - The `GROUP BY` clause allows the grouping of rows of a table together so that all occurrences within a specified group are collected together. + - Aggregate clauses can then be applied to groups. + - ## Using Aggregate Functions with `GROUP BY` #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:01:12.709Z + card-last-score:: 1 + - The `GROUP BY` clause specifies the group and the aggregate function is applied to the group. + - `COUNT(*)` can be used to *count* the number of rows (tuples) in the specified groups. + - `SUM`, `AVG`, `MIN`, `MAX` can be used to find the sum, average, min, & max of a *numerical value* in a specified group. + - ^^**Important:** You must `GROUP BY` **all** attributes in the `SELECT` clause *unless* they are involved in an aggregation.^^ + - This **^^wouldn't work^^** as we do not `GROUP BY` all the attributes in the `SELECT` clause - `salary` remains ungrouped. + - ```SQL + SELECT dno, salary + FROM employee + GROUP BY dno -- THIS IS WRONG + ``` + - +- # `HAVING` #card + card-last-interval:: 3.71 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T10:16:13.976Z + card-last-reviewed:: 2022-10-06T17:16:13.977Z + card-last-score:: 3 + - `HAVING ` + - The `HAVING` clause is used in conjunction with `GROUP BY` and allows the specification of **conditions on groups**. + - The column names in the `HAVING` clause must also appear in the `GROUP BY` list or be contained within an aggregate function, i.e., you cannot apply a `HAVING` condition to something that has not been calculated already. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Aggregate Clauses, Group By, & Having Clauses/2022-10-20T09_05_57.918Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Aggregate Clauses, Group By, & Having Clauses/2022-10-20T09_05_57.918Z.Desktop.md new file mode 100644 index 00000000..5ce03b64 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Aggregate Clauses, Group By, & Having Clauses/2022-10-20T09_05_57.918Z.Desktop.md @@ -0,0 +1,55 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[SQL SELECT: Working with Strings & Subqueries]] +- **Next Topic:** [[Entity Relationship Models]] +- **Relevant Slides:** ![Topic 6 SQL_DML_aggregateFns and Group By Having.pdf](../assets/Topic_6_SQL_DML_aggregateFns_and_Group_By_Having_1664362673690_0.pdf) +- +- # Aggregate Functions #card + card-last-interval:: 3.71 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T03:37:18.526Z + card-last-reviewed:: 2022-10-07T10:37:18.527Z + card-last-score:: 5 + - **Aggregate Functions** are only supported in `SELECT` clauses & `HAVING` clauses. + - Keywords `SUM`, `AVG`, `MIN`, `MAX` work as expected and can only be applied to **numeric** data. + - Keyword `COUNT` can be used to count the number of tuples / values / rows specified in a query. + - We can also use mathematical operations as part of an aggregate function on **numeric** data, e.g., `+`, `-`, `*`, `/`. +- # `GROUP BY` #card + card-last-interval:: 3.71 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T03:37:37.905Z + card-last-reviewed:: 2022-10-07T10:37:37.905Z + card-last-score:: 5 + - `GROUP BY ` + - The `GROUP BY` clause allows the grouping of rows of a table together so that all occurrences within a specified group are collected together. + - Aggregate clauses can then be applied to groups. + - ## Using Aggregate Functions with `GROUP BY` #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T21:32:53.059Z + card-last-reviewed:: 2022-10-10T11:32:53.059Z + card-last-score:: 5 + - The `GROUP BY` clause specifies the group and the aggregate function is applied to the group. + - `COUNT(*)` can be used to *count* the number of rows (tuples) in the specified groups. + - `SUM`, `AVG`, `MIN`, `MAX` can be used to find the sum, average, min, & max of a *numerical value* in a specified group. + - ^^**Important:** You must `GROUP BY` **all** attributes in the `SELECT` clause *unless* they are involved in an aggregation.^^ + - This **^^wouldn't work^^** as we do not `GROUP BY` all the attributes in the `SELECT` clause - `salary` remains ungrouped. + - ```SQL + SELECT dno, salary + FROM employee + GROUP BY dno -- THIS IS WRONG + ``` + - +- # `HAVING` #card + card-last-interval:: 3.71 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T10:16:13.976Z + card-last-reviewed:: 2022-10-06T17:16:13.977Z + card-last-score:: 3 + - `HAVING ` + - The `HAVING` clause is used in conjunction with `GROUP BY` and allows the specification of **conditions on groups**. + - The column names in the `HAVING` clause must also appear in the `GROUP BY` list or be contained within an aggregate function, i.e., you cannot apply a `HAVING` condition to something that has not been calculated already. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Agile Methods - Extreme Programming/2022-10-07T08_33_33.292Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Agile Methods - Extreme Programming/2022-10-07T08_33_33.292Z.Desktop.md new file mode 100644 index 00000000..50c603c5 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Agile Methods - Extreme Programming/2022-10-07T08_33_33.292Z.Desktop.md @@ -0,0 +1,43 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Introduction to Agile Methods]] +- **Next Topic:** null +- **Relevant Slides:** ![Week 4 - Agile Methods, XP.pdf](../assets/Week_4_-_Agile_Methods,_XP_1664439416140_0.pdf) +- +- # XP + - **eXtreme Programming (XP)** is one of the most popular agile software development methods. + - Some characteristics of XP include: + - Pair programming. + - Refactoring. + - Test-Driven Development (TDD). + - Continuous Integration. + - Metaphor. + - Small releases. + - Simple design. + - Customer tests. + - ## Principles of XP #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:11:14.853Z + card-last-score:: 1 + - Communication. + - Simplicity. + - Feedback. + - Courage. + - Respect. + - All the contributors to an XP project (members of one team) sit together. This team must include a business representative (Product Owner) - the "Customer" - who provides the requirements, sets the priorities, and steers the project. + - ## Planning + - XP planning addresses two key questions in software development: predicting what will be accomplished by the due date, and determining what to do next. + - **Release Planning** is a practice where the Customer presents the desired features to the programmers, and the programmers estimate their difficulty. + - **Iteration Planning** is the practice whereby the team is given direction every few weeks (Sprints). + - ## Customer Tests + - As part of presenting each desired feature, the XP Customer defines one or more automated acceptance tests to show that the feature is working. + - The team builds these tests and uses them to prove to themselves, and to the customer, that the feature is implemented correctly. + - ## Small Releases + - XP teams practice small releases in two important ways: + - First, the team releases running, tested software, delivering business value chosen by the Customer, every iteration. + - Second, XP teams release to their end users frequently as well. + - ## Coding Standards + - XP teams follow a common coding standard, so that all the code +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Agile Methods - Extreme Programming/2022-10-10T11_59_52.367Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Agile Methods - Extreme Programming/2022-10-10T11_59_52.367Z.Desktop.md new file mode 100644 index 00000000..02e16491 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Agile Methods - Extreme Programming/2022-10-10T11_59_52.367Z.Desktop.md @@ -0,0 +1,43 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Introduction to Agile Methods]] +- **Next Topic:** null +- **Relevant Slides:** ![Week 4 - Agile Methods, XP.pdf](../assets/Week_4_-_Agile_Methods,_XP_1664439416140_0.pdf) +- +- # XP + - **eXtreme Programming (XP)** is one of the most popular agile software development methods. + - Some characteristics of XP include: + - Pair programming. + - Refactoring. + - Test-Driven Development (TDD). + - Continuous Integration. + - Metaphor. + - Small releases. + - Simple design. + - Customer tests. + - ## Principles of XP #card + card-last-interval:: 3.18 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T21:25:51.008Z + card-last-reviewed:: 2022-10-06T17:25:51.008Z + card-last-score:: 3 + - Communication. + - Simplicity. + - Feedback. + - Courage. + - Respect. + - All the contributors to an XP project (members of one team) sit together. This team must include a business representative (Product Owner) - the "Customer" - who provides the requirements, sets the priorities, and steers the project. + - ## Planning + - XP planning addresses two key questions in software development: predicting what will be accomplished by the due date, and determining what to do next. + - **Release Planning** is a practice where the Customer presents the desired features to the programmers, and the programmers estimate their difficulty. + - **Iteration Planning** is the practice whereby the team is given direction every few weeks (Sprints). + - ## Customer Tests + - As part of presenting each desired feature, the XP Customer defines one or more automated acceptance tests to show that the feature is working. + - The team builds these tests and uses them to prove to themselves, and to the customer, that the feature is implemented correctly. + - ## Small Releases + - XP teams practice small releases in two important ways: + - First, the team releases running, tested software, delivering business value chosen by the Customer, every iteration. + - Second, XP teams release to their end users frequently as well. + - ## Coding Standards + - XP teams follow a common coding standard, so that all the code +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Binomial Coefficients/2022-09-30T08_54_51.791Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Binomial Coefficients/2022-09-30T08_54_51.791Z.Desktop.md new file mode 100644 index 00000000..12c98208 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Binomial Coefficients/2022-09-30T08_54_51.791Z.Desktop.md @@ -0,0 +1,156 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Principle of Inclusion-Exclusion]] +- **Next Topic:** [[Combinatorial Proofs]] +- **Relevant Slides:** ![MA284-Week03.pdf](../assets/MA284-Week03_1663699934644_0.pdf) +- +- # Binary Strings & Lattice Paths + collapsed:: true + - ## Binary Strings + - A **bit** is a "binary digit", e.g., 1 or 0. + - A **bit string** is a string (list) of bits, e.g., 1011010. + - What is the **length** of a string? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-26T23:00:00.000Z + card-last-reviewed:: 2022-09-26T12:13:43.295Z + card-last-score:: 1 + - The **length** of the string is the number of bits. + - An $n$-bit string has length $n$. + - The set of all $n$-bit strings (for given $n$) is denoted $B^n$. + - What is the **weight** of a string? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:12:45.309Z + card-last-reviewed:: 2022-09-26T12:12:45.310Z + card-last-score:: 5 + - The **weight** of the string is the number of 1s. + - The set of all $n$-bit strings of weight $k$ is denoted $B^n_k$. + - ## Lattice Paths + - What is a **lattice**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:15:21.865Z + card-last-reviewed:: 2022-09-26T12:15:21.865Z + card-last-score:: 3 + - The (integer) **lattice** is the set of all points in the Cartesian plane for which both the $x$ & $y$ coordinates are integers. + - What is a **lattice path**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-26T23:00:00.000Z + card-last-reviewed:: 2022-09-26T12:15:00.437Z + card-last-score:: 1 + - A **lattice path** is the ^^shortest possible path^^ connecting two points on the lattice, moving only horizontally & vertically. + - There can be multiple lattice paths, so long as they are of equally short length. + - ![image.png](../assets/image_1663745526135_0.png) + - The number of lattice paths from $(0,0)$ to $(3,2)$ is the same as $|B_3^5|$. + - The number of lattice paths from $(0,0)$ to $(3,2)$ is the same as the number from $(0,0)$ to $(2,2)$, plus the number from $(0,0)$ to $(3,1)$. +- +- # Binomial Coefficients + - What is the coefficient of say, $x^3y^2$ in $(x+y)^5$? + - $$(x+y)^0=1 + \newline + (x+y)^1=x+y + \newline + (x+y)^2=x^2+2xy+y^2 + \newline + (x+y)^3=x^3+3x^2y+3xy^2+y^3 + \newline + (x+y)^4=x^4+4x^3y+6x^2y^2+4xy^3+y^4 + \newline + (x+y)^5=x^5+5x^4y+10x^3y^2+10x^2y^3+5xy^4+y^5 + $$ + - So, by doing a lot of multiplication, we have worked out that the coefficient of $x^3y^2$ is $10$. + - But, there is a more systematic way of answering this problem. + - + - $$(x+y)^5=(x+y)(x+y)(x+y)(x+y)(x+y)$$ + - We can work out the coefficient of $x^3y^2$ in the expansion of $(x+y)^5$ by counting the number of ways we can **choose** $3$ $x$s & $2$ $y$s in + - $$(x+y)(x+y)(x+y)(x+y)(x+y)$$ + - + - The numbers that occurred in all of our examples are called **binomial coefficients**, and are denoted + - $$\binom{n}{k}$$ + - What are **Binomial Coefficients**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:13:19.107Z + card-last-reviewed:: 2022-09-26T12:13:19.108Z + card-last-score:: 3 + - For each integer $n \geq 0$, and integer $k$ such that $0 \leq k \leq n$, there is a number $\binom{n}{k}$, read as "$n$ *choose* $k$". + - $\binom{n}{k} = |B^n_k|$, the number of $n$-bit strings of weight $k$. + - $\binom{n}{k}$ is the number of subsets of a set of size $n$, each with cardinality $k$. + - $\binom{n}{k}$ is the number of lattice paths of length $n$ containing $k$ steps to the right. + - $\binom{n}{k}$ is the coefficient of $x^k y^{n-k}$ in the expansion of $(x+y)^n$. + - $\binom{n}{k}$ is the number of ways to select $k$ objects from a total of $n$ objects. + - If we were to skip ahead, we would learn that there is a formula for $\binom{n}{k}$ (that is, "$n$ choose $k$") that is expressed in terms of **factorials**. + - Recall that the **factorial** of a natural number $n$ is: + - $$n! = n \times (n-1) \times (n-2) \times (n-4) \times ... \times 2 \times 1$$ + - We will eventually learn that + - $$\binom{n}{k} = \frac{n!}{k!(n-k)!}$$ + - However, the formula $\binom{n}{k} = \frac{n!}{k!(n-k)!}$ is not very useful in practice. + - +- +- # Pascal's Triangle + collapsed:: true + - ![image.png](../assets/image_1663751328603_0.png) + - Earlier, we learned that if the set of all $n$-bit strings with weight $k$ is written $B^n_k$, then + - $$|b^n_k| = |B^{n-1}_{k-1}| + |B^{n-1}_k$$ + - Similarly, we find that: + - #### Pascal's Identity: A recurrence relation for $\binom{n}{k}$ #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-26T23:00:00.000Z + card-last-reviewed:: 2022-09-26T12:14:13.327Z + card-last-score:: 1 + - $$\binom{n}{k} = \binom{n-1}{k-1} + \binom{n-1}{k}$$ + - This is often presented as **Pascal's Triangle** + - ![image.png](../assets/image_1663751709631_0.png) + - +- +- # Permutations + - What is a **permutation**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:14:28.732Z + card-last-reviewed:: 2022-09-26T12:14:28.732Z + card-last-score:: 5 + - A **permutation** is an arrangement of objects. Changing the order of the objects gives a different permutation. + - Important: order matters! + - ### Number of Permutations + - How many **permutations** are there of $n$ objects? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-22T23:00:00.000Z + card-last-reviewed:: 2022-09-22T20:27:24.238Z + card-last-score:: 1 + - There are $n!$ (i.e., $n$ *factorial*) permutations of $n$ (distinct) objects. + - How many permutations are there of $k$ objects from $n$? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-26T23:00:00.000Z + card-last-reviewed:: 2022-09-26T12:13:06.669Z + card-last-score:: 1 + - The number of permutations of $k$ objects out of $n$, $P(n,k)$ is + - $$P(n,k) = n \times (n-1) \times ... \times (n - k + 1) = \frac{n!}{(n-k)!}$$ + - + - ## The Binomial Coefficient Formula + - (1) We know that there are $P(n,k)$ permutations of $k$ objects out of $n$. + - (2) We know that + - $$P(n,k) = \frac{n!}{(n-k)!}$$ + - (3) Another way of making a permutation of $k$ objects out of $n$ is to + - (a) Choose $k$ from $n$ without order. There $\binom{n}{k}$ ways of doing this. + - (b) Then count all the ways of ordering these $k$ objects. There are $k!$ ways of doing this. + - (c) By the Multiplicative Principle, + - $$P(n,k) = \binom{n}{k}k!$$ + - (4) So now we know that + - $$\frac{n!}{(n-k)!} = \binom{n}{k}k!$$ + - (5) This gives the formula + - $$\binom{n}{k} = \frac{n!}{(n-k)!k!}$$ + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Binomial Coefficients/2022-09-30T10_01_42.250Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Binomial Coefficients/2022-09-30T10_01_42.250Z.Desktop.md new file mode 100644 index 00000000..12c98208 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Binomial Coefficients/2022-09-30T10_01_42.250Z.Desktop.md @@ -0,0 +1,156 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Principle of Inclusion-Exclusion]] +- **Next Topic:** [[Combinatorial Proofs]] +- **Relevant Slides:** ![MA284-Week03.pdf](../assets/MA284-Week03_1663699934644_0.pdf) +- +- # Binary Strings & Lattice Paths + collapsed:: true + - ## Binary Strings + - A **bit** is a "binary digit", e.g., 1 or 0. + - A **bit string** is a string (list) of bits, e.g., 1011010. + - What is the **length** of a string? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-26T23:00:00.000Z + card-last-reviewed:: 2022-09-26T12:13:43.295Z + card-last-score:: 1 + - The **length** of the string is the number of bits. + - An $n$-bit string has length $n$. + - The set of all $n$-bit strings (for given $n$) is denoted $B^n$. + - What is the **weight** of a string? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:12:45.309Z + card-last-reviewed:: 2022-09-26T12:12:45.310Z + card-last-score:: 5 + - The **weight** of the string is the number of 1s. + - The set of all $n$-bit strings of weight $k$ is denoted $B^n_k$. + - ## Lattice Paths + - What is a **lattice**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:15:21.865Z + card-last-reviewed:: 2022-09-26T12:15:21.865Z + card-last-score:: 3 + - The (integer) **lattice** is the set of all points in the Cartesian plane for which both the $x$ & $y$ coordinates are integers. + - What is a **lattice path**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-26T23:00:00.000Z + card-last-reviewed:: 2022-09-26T12:15:00.437Z + card-last-score:: 1 + - A **lattice path** is the ^^shortest possible path^^ connecting two points on the lattice, moving only horizontally & vertically. + - There can be multiple lattice paths, so long as they are of equally short length. + - ![image.png](../assets/image_1663745526135_0.png) + - The number of lattice paths from $(0,0)$ to $(3,2)$ is the same as $|B_3^5|$. + - The number of lattice paths from $(0,0)$ to $(3,2)$ is the same as the number from $(0,0)$ to $(2,2)$, plus the number from $(0,0)$ to $(3,1)$. +- +- # Binomial Coefficients + - What is the coefficient of say, $x^3y^2$ in $(x+y)^5$? + - $$(x+y)^0=1 + \newline + (x+y)^1=x+y + \newline + (x+y)^2=x^2+2xy+y^2 + \newline + (x+y)^3=x^3+3x^2y+3xy^2+y^3 + \newline + (x+y)^4=x^4+4x^3y+6x^2y^2+4xy^3+y^4 + \newline + (x+y)^5=x^5+5x^4y+10x^3y^2+10x^2y^3+5xy^4+y^5 + $$ + - So, by doing a lot of multiplication, we have worked out that the coefficient of $x^3y^2$ is $10$. + - But, there is a more systematic way of answering this problem. + - + - $$(x+y)^5=(x+y)(x+y)(x+y)(x+y)(x+y)$$ + - We can work out the coefficient of $x^3y^2$ in the expansion of $(x+y)^5$ by counting the number of ways we can **choose** $3$ $x$s & $2$ $y$s in + - $$(x+y)(x+y)(x+y)(x+y)(x+y)$$ + - + - The numbers that occurred in all of our examples are called **binomial coefficients**, and are denoted + - $$\binom{n}{k}$$ + - What are **Binomial Coefficients**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:13:19.107Z + card-last-reviewed:: 2022-09-26T12:13:19.108Z + card-last-score:: 3 + - For each integer $n \geq 0$, and integer $k$ such that $0 \leq k \leq n$, there is a number $\binom{n}{k}$, read as "$n$ *choose* $k$". + - $\binom{n}{k} = |B^n_k|$, the number of $n$-bit strings of weight $k$. + - $\binom{n}{k}$ is the number of subsets of a set of size $n$, each with cardinality $k$. + - $\binom{n}{k}$ is the number of lattice paths of length $n$ containing $k$ steps to the right. + - $\binom{n}{k}$ is the coefficient of $x^k y^{n-k}$ in the expansion of $(x+y)^n$. + - $\binom{n}{k}$ is the number of ways to select $k$ objects from a total of $n$ objects. + - If we were to skip ahead, we would learn that there is a formula for $\binom{n}{k}$ (that is, "$n$ choose $k$") that is expressed in terms of **factorials**. + - Recall that the **factorial** of a natural number $n$ is: + - $$n! = n \times (n-1) \times (n-2) \times (n-4) \times ... \times 2 \times 1$$ + - We will eventually learn that + - $$\binom{n}{k} = \frac{n!}{k!(n-k)!}$$ + - However, the formula $\binom{n}{k} = \frac{n!}{k!(n-k)!}$ is not very useful in practice. + - +- +- # Pascal's Triangle + collapsed:: true + - ![image.png](../assets/image_1663751328603_0.png) + - Earlier, we learned that if the set of all $n$-bit strings with weight $k$ is written $B^n_k$, then + - $$|b^n_k| = |B^{n-1}_{k-1}| + |B^{n-1}_k$$ + - Similarly, we find that: + - #### Pascal's Identity: A recurrence relation for $\binom{n}{k}$ #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-26T23:00:00.000Z + card-last-reviewed:: 2022-09-26T12:14:13.327Z + card-last-score:: 1 + - $$\binom{n}{k} = \binom{n-1}{k-1} + \binom{n-1}{k}$$ + - This is often presented as **Pascal's Triangle** + - ![image.png](../assets/image_1663751709631_0.png) + - +- +- # Permutations + - What is a **permutation**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:14:28.732Z + card-last-reviewed:: 2022-09-26T12:14:28.732Z + card-last-score:: 5 + - A **permutation** is an arrangement of objects. Changing the order of the objects gives a different permutation. + - Important: order matters! + - ### Number of Permutations + - How many **permutations** are there of $n$ objects? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-22T23:00:00.000Z + card-last-reviewed:: 2022-09-22T20:27:24.238Z + card-last-score:: 1 + - There are $n!$ (i.e., $n$ *factorial*) permutations of $n$ (distinct) objects. + - How many permutations are there of $k$ objects from $n$? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-26T23:00:00.000Z + card-last-reviewed:: 2022-09-26T12:13:06.669Z + card-last-score:: 1 + - The number of permutations of $k$ objects out of $n$, $P(n,k)$ is + - $$P(n,k) = n \times (n-1) \times ... \times (n - k + 1) = \frac{n!}{(n-k)!}$$ + - + - ## The Binomial Coefficient Formula + - (1) We know that there are $P(n,k)$ permutations of $k$ objects out of $n$. + - (2) We know that + - $$P(n,k) = \frac{n!}{(n-k)!}$$ + - (3) Another way of making a permutation of $k$ objects out of $n$ is to + - (a) Choose $k$ from $n$ without order. There $\binom{n}{k}$ ways of doing this. + - (b) Then count all the ways of ordering these $k$ objects. There are $k!$ ways of doing this. + - (c) By the Multiplicative Principle, + - $$P(n,k) = \binom{n}{k}k!$$ + - (4) So now we know that + - $$\frac{n!}{(n-k)!} = \binom{n}{k}k!$$ + - (5) This gives the formula + - $$\binom{n}{k} = \frac{n!}{(n-k)!k!}$$ + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Binomial Coefficients/2022-10-07T08_33_33.296Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Binomial Coefficients/2022-10-07T08_33_33.296Z.Desktop.md new file mode 100644 index 00000000..901f3b75 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Binomial Coefficients/2022-10-07T08_33_33.296Z.Desktop.md @@ -0,0 +1,154 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Principle of Inclusion-Exclusion]] +- **Next Topic:** [[Combinatorial Proofs]] +- **Relevant Slides:** ![MA284-Week03.pdf](../assets/MA284-Week03_1663699934644_0.pdf) +- +- # Binary Strings & Lattice Paths + - ## Binary Strings + - A **bit** is a "binary digit", e.g., 1 or 0. + - A **bit string** is a string (list) of bits, e.g., 1011010. + - What is the **length** of a string? #card + card-last-interval:: 3.58 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-03T21:29:15.109Z + card-last-reviewed:: 2022-09-30T08:29:15.109Z + card-last-score:: 5 + - The **length** of the string is the number of bits. + - An $n$-bit string has length $n$. + - The set of all $n$-bit strings (for given $n$) is denoted $B^n$. + - What is the **weight** of a string? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-08T12:11:29.792Z + card-last-reviewed:: 2022-10-04T12:11:29.793Z + card-last-score:: 5 + - The **weight** of the string is the number of 1s. + - The set of all $n$-bit strings of weight $k$ is denoted $B^n_k$. + - ## Lattice Paths + - What is a **lattice**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-08T12:15:35.955Z + card-last-reviewed:: 2022-10-04T12:15:35.956Z + card-last-score:: 3 + - The (integer) **lattice** is the set of all points in the Cartesian plane for which both the $x$ & $y$ coordinates are integers. + - What is a **lattice path**? #card + card-last-interval:: 4.43 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T00:33:48.083Z + card-last-reviewed:: 2022-10-03T14:33:48.083Z + card-last-score:: 5 + - A **lattice path** is the ^^shortest possible path^^ connecting two points on the lattice, moving only horizontally & vertically. + - There can be multiple lattice paths, so long as they are of equally short length. + - ![image.png](../assets/image_1663745526135_0.png) + - The number of lattice paths from $(0,0)$ to $(3,2)$ is the same as $|B_3^5|$. + - The number of lattice paths from $(0,0)$ to $(3,2)$ is the same as the number from $(0,0)$ to $(2,2)$, plus the number from $(0,0)$ to $(3,1)$. +- +- # Binomial Coefficients + - What is the coefficient of say, $x^3y^2$ in $(x+y)^5$? + - $$(x+y)^0=1 + \newline + (x+y)^1=x+y + \newline + (x+y)^2=x^2+2xy+y^2 + \newline + (x+y)^3=x^3+3x^2y+3xy^2+y^3 + \newline + (x+y)^4=x^4+4x^3y+6x^2y^2+4xy^3+y^4 + \newline + (x+y)^5=x^5+5x^4y+10x^3y^2+10x^2y^3+5xy^4+y^5 + $$ + - So, by doing a lot of multiplication, we have worked out that the coefficient of $x^3y^2$ is $10$. + - But, there is a more systematic way of answering this problem. + - + - $$(x+y)^5=(x+y)(x+y)(x+y)(x+y)(x+y)$$ + - We can work out the coefficient of $x^3y^2$ in the expansion of $(x+y)^5$ by counting the number of ways we can **choose** $3$ $x$s & $2$ $y$s in + - $$(x+y)(x+y)(x+y)(x+y)(x+y)$$ + - + - The numbers that occurred in all of our examples are called **binomial coefficients**, and are denoted + - $$\binom{n}{k}$$ + - What are **Binomial Coefficients**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:13:14.754Z + card-last-score:: 1 + - For each integer $n \geq 0$, and integer $k$ such that $0 \leq k \leq n$, there is a number $\binom{n}{k}$, read as "$n$ *choose* $k$". + - $\binom{n}{k} = |B^n_k|$, the number of $n$-bit strings of weight $k$. + - $\binom{n}{k}$ is the number of subsets of a set of size $n$, each with cardinality $k$. + - $\binom{n}{k}$ is the number of lattice paths of length $n$ containing $k$ steps to the right. + - $\binom{n}{k}$ is the coefficient of $x^k y^{n-k}$ in the expansion of $(x+y)^n$. + - $\binom{n}{k}$ is the number of ways to select $k$ objects from a total of $n$ objects. + - If we were to skip ahead, we would learn that there is a formula for $\binom{n}{k}$ (that is, "$n$ choose $k$") that is expressed in terms of **factorials**. + - Recall that the **factorial** of a natural number $n$ is: + - $$n! = n \times (n-1) \times (n-2) \times (n-4) \times ... \times 2 \times 1$$ + - We will eventually learn that + - $$\binom{n}{k} = \frac{n!}{k!(n-k)!}$$ + - However, the formula $\binom{n}{k} = \frac{n!}{k!(n-k)!}$ is not very useful in practice. + - +- +- # Pascal's Triangle + - ![image.png](../assets/image_1663751328603_0.png) + - Earlier, we learned that if the set of all $n$-bit strings with weight $k$ is written $B^n_k$, then + - $$|b^n_k| = |B^{n-1}_{k-1}| + |B^{n-1}_k$$ + - Similarly, we find that: + - #### Pascal's Identity: A recurrence relation for $\binom{n}{k}$ #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:33:47.256Z + card-last-score:: 1 + - $$\binom{n}{k} = \binom{n-1}{k-1} + \binom{n-1}{k}$$ + - This is often presented as **Pascal's Triangle** + - ![image.png](../assets/image_1663751709631_0.png) + - +- +- # Permutations + - What is a **permutation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-08T12:14:42.530Z + card-last-reviewed:: 2022-10-04T12:14:42.530Z + card-last-score:: 5 + - A **permutation** is an arrangement of objects. Changing the order of the objects gives a different permutation. + - A permutation of a set must have the same cardinality as that set. + - Important: order matters! + - ### Number of Permutations + - How many **permutations** are there of $n$ objects? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-03T23:00:00.000Z + card-last-reviewed:: 2022-10-03T11:41:35.217Z + card-last-score:: 1 + - There are $n!$ (i.e., $n$ *factorial*) permutations of $n$ (distinct) objects. + - How many permutations are there of $k$ objects from $n$? #card + card-last-interval:: 4.43 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T00:33:41.297Z + card-last-reviewed:: 2022-10-03T14:33:41.298Z + card-last-score:: 5 + - The number of permutations of $k$ objects out of $n$, $P(n,k)$ is + - $$P(n,k) = \binom{n}{k} = n \times (n-1) \times ... \times (n - k + 1) = \frac{n!}{(n-k)!}$$ + - ## The Binomial Coefficient Formula + - (1) We know that there are $P(n,k)$ permutations of $k$ objects out of $n$. + - (2) We know that + - $$P(n,k) = \frac{n!}{(n-k)!}$$ + - (3) Another way of making a permutation of $k$ objects out of $n$ is to + - (a) Choose $k$ from $n$ without order. There $\binom{n}{k}$ ways of doing this. + - (b) Then count all the ways of ordering these $k$ objects. There are $k!$ ways of doing this. + - (c) By the Multiplicative Principle, + - $$P(n,k) = \binom{n}{k}k!$$ + - (4) So now we know that + - $$\frac{n!}{(n-k)!} = \binom{n}{k}k!$$ + - (5) This gives the formula + - $$\binom{n}{k} = \frac{n!}{(n-k)!k!}$$ + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Binomial Coefficients/2022-10-20T09_05_57.923Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Binomial Coefficients/2022-10-20T09_05_57.923Z.Desktop.md new file mode 100644 index 00000000..5bfe7665 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Binomial Coefficients/2022-10-20T09_05_57.923Z.Desktop.md @@ -0,0 +1,154 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Principle of Inclusion-Exclusion]] +- **Next Topic:** [[Combinatorial Proofs]] +- **Relevant Slides:** ![MA284-Week03.pdf](../assets/MA284-Week03_1663699934644_0.pdf) +- +- # Binary Strings & Lattice Paths + - ## Binary Strings + - A **bit** is a "binary digit", e.g., 1 or 0. + - A **bit string** is a string (list) of bits, e.g., 1011010. + - What is the **length** of a string? #card + card-last-interval:: 11.55 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-18T06:19:03.162Z + card-last-reviewed:: 2022-10-06T17:19:03.163Z + card-last-score:: 5 + - The **length** of the string is the number of bits. + - An $n$-bit string has length $n$. + - The set of all $n$-bit strings (for given $n$) is denoted $B^n$. + - What is the **weight** of a string? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-20T02:52:44.155Z + card-last-reviewed:: 2022-10-08T22:52:44.155Z + card-last-score:: 5 + - The **weight** of the string is the number of 1s. + - The set of all $n$-bit strings of weight $k$ is denoted $B^n_k$. + - ## Lattice Paths + - What is a **lattice**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-18T04:54:49.128Z + card-last-reviewed:: 2022-10-08T22:54:49.129Z + card-last-score:: 5 + - The (integer) **lattice** is the set of all points in the Cartesian plane for which both the $x$ & $y$ coordinates are integers. + - What is a **lattice path**? #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-23T02:49:59.194Z + card-last-reviewed:: 2022-10-08T22:49:59.194Z + card-last-score:: 5 + - A **lattice path** is the ^^shortest possible path^^ connecting two points on the lattice, moving only horizontally & vertically. + - There can be multiple lattice paths, so long as they are of equally short length. + - ![image.png](../assets/image_1663745526135_0.png) + - The number of lattice paths from $(0,0)$ to $(3,2)$ is the same as $|B_3^5|$. + - The number of lattice paths from $(0,0)$ to $(3,2)$ is the same as the number from $(0,0)$ to $(2,2)$, plus the number from $(0,0)$ to $(3,1)$. +- +- # Binomial Coefficients + - What is the coefficient of say, $x^3y^2$ in $(x+y)^5$? + - $$(x+y)^0=1 + \newline + (x+y)^1=x+y + \newline + (x+y)^2=x^2+2xy+y^2 + \newline + (x+y)^3=x^3+3x^2y+3xy^2+y^3 + \newline + (x+y)^4=x^4+4x^3y+6x^2y^2+4xy^3+y^4 + \newline + (x+y)^5=x^5+5x^4y+10x^3y^2+10x^2y^3+5xy^4+y^5 + $$ + - So, by doing a lot of multiplication, we have worked out that the coefficient of $x^3y^2$ is $10$. + - But, there is a more systematic way of answering this problem. + - + - $$(x+y)^5=(x+y)(x+y)(x+y)(x+y)(x+y)$$ + - We can work out the coefficient of $x^3y^2$ in the expansion of $(x+y)^5$ by counting the number of ways we can **choose** $3$ $x$s & $2$ $y$s in + - $$(x+y)(x+y)(x+y)(x+y)(x+y)$$ + - + - The numbers that occurred in all of our examples are called **binomial coefficients**, and are denoted + - $$\binom{n}{k}$$ + - What are **Binomial Coefficients**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-12T08:41:44.758Z + card-last-reviewed:: 2022-10-08T22:41:44.758Z + card-last-score:: 5 + - For each integer $n \geq 0$, and integer $k$ such that $0 \leq k \leq n$, there is a number $\binom{n}{k}$, read as "$n$ *choose* $k$". + - $\binom{n}{k} = |B^n_k|$, the number of $n$-bit strings of weight $k$. + - $\binom{n}{k}$ is the number of subsets of a set of size $n$, each with cardinality $k$. + - $\binom{n}{k}$ is the number of lattice paths of length $n$ containing $k$ steps to the right. + - $\binom{n}{k}$ is the coefficient of $x^k y^{n-k}$ in the expansion of $(x+y)^n$. + - $\binom{n}{k}$ is the number of ways to select $k$ objects from a total of $n$ objects. + - If we were to skip ahead, we would learn that there is a formula for $\binom{n}{k}$ (that is, "$n$ choose $k$") that is expressed in terms of **factorials**. + - Recall that the **factorial** of a natural number $n$ is: + - $$n! = n \times (n-1) \times (n-2) \times (n-4) \times ... \times 2 \times 1$$ + - We will eventually learn that + - $$\binom{n}{k} = \frac{n!}{k!(n-k)!}$$ + - However, the formula $\displaystyle \binom{n}{k} = \frac{n!}{k!(n-k)!}$ is not very useful in practice. + - +- +- # Pascal's Triangle + - ![image.png](../assets/image_1663751328603_0.png) + - Earlier, we learned that if the set of all $n$-bit strings with weight $k$ is written $B^n_k$, then + - $$|b^n_k| = |B^{n-1}_{k-1}| + |B^{n-1}_k$$ + - Similarly, we find that: + - #### Pascal's Identity: A recurrence relation for $\binom{n}{k}$ #card + card-last-interval:: 11.56 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-18T23:22:56.816Z + card-last-reviewed:: 2022-10-07T10:22:56.817Z + card-last-score:: 5 + - $$\binom{n}{k} = \binom{n-1}{k-1} + \binom{n-1}{k}$$ + - This is often presented as **Pascal's Triangle** + - ![image.png](../assets/image_1663751709631_0.png) + - +- +- # Permutations + - What is a **permutation**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-20T02:53:38.455Z + card-last-reviewed:: 2022-10-08T22:53:38.455Z + card-last-score:: 5 + - A **permutation** is an arrangement of objects. Changing the order of the objects gives a different permutation. + - A permutation of a set must have the same cardinality as that set. + - Important: order matters! + - ### Number of Permutations + - How many **permutations** are there of $n$ objects? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T17:14:28.391Z + card-last-reviewed:: 2022-10-06T17:14:28.392Z + card-last-score:: 5 + - There are $n!$ (i.e., $n$ *factorial*) permutations of $n$ (distinct) objects. + - How many permutations are there of $k$ objects from $n$? #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-23T02:49:51.823Z + card-last-reviewed:: 2022-10-08T22:49:51.823Z + card-last-score:: 5 + - The number of permutations of $k$ objects out of $n$, $P(n,k)$ is + - $$P(n,k) = \binom{n}{k} = n \times (n-1) \times ... \times (n - k + 1) = \frac{n!}{(n-k)!}$$ + - ## The Binomial Coefficient Formula + - (1) We know that there are $P(n,k)$ permutations of $k$ objects out of $n$. + - (2) We know that + - $$P(n,k) = \frac{n!}{(n-k)!}$$ + - (3) Another way of making a permutation of $k$ objects out of $n$ is to + - (a) Choose $k$ from $n$ without order. There $\binom{n}{k}$ ways of doing this. + - (b) Then count all the ways of ordering these $k$ objects. There are $k!$ ways of doing this. + - (c) By the Multiplicative Principle, + - $$P(n,k) = \binom{n}{k}k!$$ + - (4) So now we know that + - $$\frac{n!}{(n-k)!} = \binom{n}{k}k!$$ + - (5) This gives the formula + - $$\binom{n}{k} = \frac{n!}{(n-k)!k!}$$ + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-10-07T08_33_33.306Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-10-07T08_33_33.306Z.Desktop.md new file mode 100644 index 00000000..427e92d7 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-10-07T08_33_33.306Z.Desktop.md @@ -0,0 +1,136 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Process Management]] +- **Next Topic:** null +- **Relevant Slides:** ![Lecture 5.pdf](../assets/Lecture_5_1664977343897_0.pdf) +- +- # Scheduling + - What is **scheduling**? #card + - **Scheduling** allows one process to use the CPU while the execution of another process is on hold (i.e., in the waiting state) due to unavailability of any resource like I/O etc. + - It aims to make the system efficient, fast, & fair. + - It is part of the **process manager**. + - Scheduling is the mechanism that handles the ^^**removal** of the running processes from the CPU and the **selection** of another process.^^ + - It is responsible for **multiplexing** processes in the CPU. + - When it is time for the **running** process to be removed from the CPU (into a *ready* or *suspended* state), a different process is selected from the set of processes in the ready state. + - The selection of another process is based on a particular strategy - the **scheduling algorithm** will determine the order in which the OS will execute the processes. + - + - ## Scheduler Organisation #card + - When a process is changed to the *ready* state. the **enqueuer** places a pointer to the process descriptor into a **ready list**. + - Whenever the scheduler switches the CPU from executing one process to another, the **context switcher** saves the contents of all the processor registers of the process being removed into the **process' descriptor**. + - There are two types of context switch: **Voluntary** & **Involuntary**. + - The **dispatcher** is invoked after the current process has been from the CPU. + - The dispatcher chooses one of the processes enqueued in the ready list and then allocates CPU to that process by performing another context switch from *itself* to the selected process. + - ![image.png](../assets/image_1664978282949_0.png) + - ## Scheduler Types + - What are the two main types of scheduler? #card + - **Cooperative** Scheduler (Voluntary CPU Sharing). + - **Preemptive** Scheduler (Involuntary CPU Sharing). + - ### Cooperative Scheduler (Voluntary CPU Sharing) #card + - Each process will **periodically invoke** the process scheduler, voluntarily sharing the CPU. + - Each process should call a function that will implement the process scheduling. + - yield(P_{current}, P_{next}) (sometimes implemented as instruction in hardware), where P_{current} is an identifier of the current process and P_{next} is an identifier of the next process. + - Cooperative multitasking allows much simpler implementation of applications, because their ^^execution is never unexpectedly interrupted by the process scheduler.^^ + - Possible problem: If the process does not voluntarily cooperate with the others, one process could keep the CPU forever. + - ### Preemptive Scheduler (Involuntary CPU Sharing) #card + - The interrupt system **enforces periodic involuntary interruption** of any process's execution; it can force a process to involuntarily execute a yield type function (or instruction). + - This is done by incorporating an **interval timer** device that produces an interrupt whenever the time expires. + - The programmable interval timer will cause an **interrupt** to run every $K$ clock ticks of a time interval, thus causing the hardware to execute the logical equivalent of a yield instruction to invoke the **interruption handler**. + - The **interrupt handler** for the timer interrupt will call the scheduler to reschedule the processor **without** any action on the part of the running process. + - The scheduler decides which process is run next. + - The scheduler is guaranteed to be invoked once every $K$ clock ticks. + - Even if a certain process executes in an infinite loop, it will **not** block the execution of the other processes. + - + - ## Performance Elements + - Having a set of processes $P = \{p_i, 0 \leq i \leq n\}$. + - **Service Time -** $\tau(p_i)$: The amount of time that a process needs to spend in the active/running state before it completes. + - **Wait Time -** $W(p_i)$: The time that the process spends waiting in the ready state before its first transition to the active state. + - **Turn-around Time -** $T_{TRnd}(p_i)$: The amount of time between the moment that a process enters the ready state and the moment that the process exits the running state for the last time. + - These elements are used to measure the performance of each scheduling algorithm. + - + - ## Selection Strategies #card + - ### Non-Preemptive Strategies #card + - Allow any process to run to completion once it has been allocated control of the CPU. + - A process that gets the control of the CPU releases the CPU whenever it ends or when it voluntarily gives up control of the CPU. + - ### Preemptive Strategies #card + - The process with the highest priority among all the *ready* process is allocated the CPU. + - All lower priority processes are made to yield to the highest priority process whenever it requests the CPU. + - The scheduler is called every time a process enters the *ready* queue as well as when an interval timer expires. + - Preemptive strategies allow for equitable resource sharing among processes, at the expense of overloading the system. + - + - ## Scheduling Algorithms + - ### First Come, First Served (FCFS) #card + - **Non-preemptive** algorithm. + - This scheduling strategy assigns priority to processes by the order in which they request the processor. + - The priority of a process is computed by the enqueuer by **time stamping** all incoming processes and then having the dispatcher select the process that has the ^^oidest time stamp.^^ + - Possible implementation: Using a FIFO data structure (where each entry points to a process descriptor). The enqueuer adds processes to the tail of the queue and the dispatcher removes processes from the head of the queue. + - Easy to implement. + - Not widely used because of ^^unpredictable **turn-around time** & **waiting time**.^^ + - ### Shortest Job First (SJF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-06T23:00:00.000Z + card-last-reviewed:: 2022-10-06T09:46:22.373Z + card-last-score:: 1 + - **Non-preemptive** algorithm. + - SJF is an optimal algorithm from the perspective of **average turn-around time** - it minimises the average turn-around time. + - Preferential service of small jobs. + - Requires the ^^knowledge of the **service time**^^ for each process. + - In extreme cases where the system has little idle time, processes with large service time will never be served. + - In the case where it is not possible to know the service time for each process, the service time is estimated using predictors. + - ### Shortest Remaining Time Next (SRTN) #card + - Similar to SJF, but **preemptive**. + - If a long job is mostly complete, it might have a very short time remaining, and therefore would be prioritised. + - ### Time Slice (Round Robin) #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T09:39:03.608Z + card-last-reviewed:: 2022-10-06T09:39:03.608Z + card-last-score:: 3 + - **Preemptive** algorithm. + - Each process gets a time slice of CPU time, distributing the processing time equitably among all processes that are requesting the processor. + - Whenever the time slice expires, control of the CPU is given to the next process in the ready list, and the process being switched from is placed back into the ready process list. + - Time Slice implies the existence of a **specialised timer** that measures the processor time for each process. + - Every time a process becomes active, the timer is intitialised. + - Not very well suited for long jobs, as the scheduler will be called multiple times until the job is done. + - Very sensitive to the size of the time slice. + - Too big -> large delays in the response time for interactive processes. + - Too small -> too much time spent running the scheduler. + - Very big -> turns into FCFS. + - The time slice is determined by analysing the number of instructions that the processor can execute in a given time slice. + - + - ### Priority-Based Preemptive Scheduling (Event Driven) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-06T23:00:00.000Z + card-last-reviewed:: 2022-10-06T09:43:34.034Z + card-last-score:: 1 + - Both **preemptive** & **non-preemptive** variants exist. + - Each process has an ^^externally assigned priority.^^ + - Every time an event occurs that generates a process switch, the ^^process with the highest priority^^ is chosen from the ready process list. + - There is a possibility that processes with low priority will never gain CPU time. + - There are variants with **static** & **dynamic** priorities. + - The **dynamic priority** computation solves the problem that some processes may never gain CPU time - the longer a process waits, the higher its priority becomes. + - Used for real-time systems. + - ### Multiple Level Queue Scheduling #card + card-last-interval:: 3.57 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-09T22:43:53.128Z + card-last-reviewed:: 2022-10-06T09:43:53.128Z + card-last-score:: 5 + - Complex systems have requirements for real-time, interactive users and batch jobs - Therefore, a **combined scheduling mechanism** should be used. + - The processes are divided into **classes**. + - Each class has a process queue, and has been assigned a specific scheduling algorithm. + - Each process queue is treated according to its queue scheduling algorithm. + - Each queue is assigned a priority. + - As long as there are processes in a higher priority queue, those will be serviced. + - #### Multiple Level Queue (with Feedback) #card + - Same as MLQ, but the ^^processes can migrate from class to class^^ in a dynamic fashion. + - Different strategies to modify the priority. + - Increase the priority for a given process. (E.g., the user needs a larger share of the CPU to sustain acceptable service). + - Decrease the priority for a given process. (E.g., the user process is trying to get more CPU share, which may impact on the other users). + - If a process is giving up the CPU before its time slice expires, then the process is assigned to a higher priority queue. + - During the evolution to completion, a process may go through a number of different classes. + - Any of the previous algorithms covered may be used for treating a specific process class. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-10-10T11_59_52.372Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-10-10T11_59_52.372Z.Desktop.md new file mode 100644 index 00000000..aebda3dd --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-10-10T11_59_52.372Z.Desktop.md @@ -0,0 +1,203 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Process Management]] +- **Next Topic:** null +- **Relevant Slides:** ![Lecture 5.pdf](../assets/Lecture_5_1664977343897_0.pdf) +- +- # Scheduling + - What is **scheduling**? #card + card-last-interval:: 0.91 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T19:43:11.047Z + card-last-reviewed:: 2022-10-08T22:43:11.048Z + card-last-score:: 3 + - **Scheduling** allows one process to use the CPU while the execution of another process is on hold (i.e., in the waiting state) due to unavailability of any resource like I/O etc. + - It aims to make the system efficient, fast, & fair. + - It is part of the **process manager**. + - Scheduling is the mechanism that handles the ^^**removal** of the running processes from the CPU and the **selection** of another process.^^ + - It is responsible for **multiplexing** processes in the CPU. + - When it is time for the **running** process to be removed from the CPU (into a *ready* or *suspended* state), a different process is selected from the set of processes in the ready state. + - The selection of another process is based on a particular strategy - the **scheduling algorithm** will determine the order in which the OS will execute the processes. + - + - ## Scheduler Organisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:09:47.382Z + card-last-score:: 1 + - When a process is changed to the *ready* state. the **enqueuer** places a pointer to the process descriptor into a **ready list**. + - Whenever the scheduler switches the CPU from executing one process to another, the **context switcher** saves the contents of all the processor registers of the process being removed into the **process' descriptor**. + - There are two types of context switch: **Voluntary** & **Involuntary**. + - The **dispatcher** is invoked after the current process has been from the CPU. + - The dispatcher chooses one of the processes enqueued in the ready list and then allocates CPU to that process by performing another context switch from *itself* to the selected process. + - ![image.png](../assets/image_1664978282949_0.png) + - ## Scheduler Types + collapsed:: true + - What are the two main types of scheduler? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T17:41:55.585Z + card-last-reviewed:: 2022-10-08T22:41:55.587Z + card-last-score:: 5 + - **Cooperative** Scheduler (Voluntary CPU Sharing). + - **Preemptive** Scheduler (Involuntary CPU Sharing). + - ### Cooperative Scheduler (Voluntary CPU Sharing) #card + card-last-interval:: 3.71 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T10:14:20.540Z + card-last-reviewed:: 2022-10-06T17:14:20.542Z + card-last-score:: 3 + - Each process will **periodically invoke** the process scheduler, voluntarily sharing the CPU. + - Each process should call a function that will implement the process scheduling. + - $\text{yield}(P_{current}, P_{next})$ (sometimes implemented as instruction in hardware), where $P_{current}$ is an identifier of the current process and $P_{next}$ is an identifier of the next process. + - Cooperative multitasking allows much simpler implementation of applications, because their ^^execution is never unexpectedly interrupted by the process scheduler.^^ + - Possible problem: If the process does not voluntarily cooperate with the others, one process could keep the CPU forever. + - ### Preemptive Scheduler (Involuntary CPU Sharing) #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-17T19:51:16.969Z + card-last-reviewed:: 2022-10-08T22:51:16.969Z + card-last-score:: 3 + - The interrupt system **enforces periodic involuntary interruption** of any process's execution; it can force a process to involuntarily execute a yield type function (or instruction). + - This is done by incorporating an **interval timer** device that produces an interrupt whenever the time expires. + - The programmable interval timer will cause an **interrupt** to run every $K$ clock ticks of a time interval, thus causing the hardware to execute the logical equivalent of a yield instruction to invoke the **interruption handler**. + - The **interrupt handler** for the timer interrupt will call the scheduler to reschedule the processor **without** any action on the part of the running process. + - The scheduler decides which process is run next. + - The scheduler is guaranteed to be invoked once every $K$ clock ticks. + - Even if a certain process executes in an infinite loop, it will **not** block the execution of the other processes. + - + - ## Performance Elements + - Having a set of processes $P = \{p_i, 0 \leq i \leq n\}$. + - **Service Time -** $\tau(p_i)$: The amount of time that a process needs to spend in the active/running state before it completes. + - **Wait Time -** $W(p_i)$: The time that the process spends waiting in the ready state before its first transition to the active state. + - **Turn-around Time -** $T_{TRnd}(p_i)$: The amount of time between the moment that a process enters the ready state and the moment that the process exits the running state for the last time. + - These elements are used to measure the performance of each scheduling algorithm. + - + - ## Selection Strategies #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:16:52.341Z + card-last-score:: 1 + - ### Non-Preemptive Strategies #card + card-last-interval:: 3.09 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-09T19:27:02.886Z + card-last-reviewed:: 2022-10-06T17:27:02.886Z + card-last-score:: 5 + - Allow any process to run to completion once it has been allocated control of the CPU. + - A process that gets the control of the CPU releases the CPU whenever it ends or when it voluntarily gives up control of the CPU. + - ### Preemptive Strategies #card + card-last-interval:: 3.1 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T12:22:34.748Z + card-last-reviewed:: 2022-10-07T10:22:34.748Z + card-last-score:: 3 + - The process with the highest priority among all the *ready* process is allocated the CPU. + - All lower priority processes are made to yield to the highest priority process whenever it requests the CPU. + - The **scheduler** is called every time a process enters the *ready* queue as well as when an interval timer expires. + - Preemptive strategies allow for equitable resource sharing among processes, at the expense of overloading the system. + - + - ## Scheduling Algorithms + - ### First Come, First Served (FCFS) #card + card-last-interval:: 2.14 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T13:31:14.568Z + card-last-reviewed:: 2022-10-07T10:31:14.569Z + card-last-score:: 3 + - **Non-preemptive** algorithm. + - This scheduling strategy assigns priority to processes by the order in which they request the processor. + - The priority of a process is computed by the enqueuer by **time stamping** all incoming processes and then having the dispatcher select the process that has the ^^oidest time stamp.^^ + - Possible implementation: Using a FIFO data structure (where each entry points to a process descriptor). The enqueuer adds processes to the tail of the queue and the dispatcher removes processes from the head of the queue. + - Easy to implement. + - Not widely used because of ^^unpredictable **turn-around time** & **waiting time**.^^ + - ### Shortest Job First (SJF) #card + card-last-interval:: 2.77 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T04:23:33.101Z + card-last-reviewed:: 2022-10-07T10:23:33.101Z + card-last-score:: 3 + - **Non-preemptive** algorithm. + - SJF is an optimal algorithm from the perspective of **average turn-around time** - it minimises the average turn-around time. + - Preferential service of small jobs. + - Requires the ^^knowledge of the **service time**^^ for each process. + - In extreme cases where the system has little idle time, processes with large service time will never be served. + - In the case where it is not possible to know the service time for each process, the service time is estimated using predictors. + - ### Shortest Remaining Time Next (SRTN) #card + card-last-interval:: 3.45 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T03:22:34.266Z + card-last-reviewed:: 2022-10-06T17:22:34.267Z + card-last-score:: 5 + - Similar to SJF, but **preemptive**. + - If a long job is mostly complete, it might have a very short time remaining, and therefore would be prioritised. + - ### Time Slice (Round Robin) #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T09:39:03.608Z + card-last-reviewed:: 2022-10-06T09:39:03.608Z + card-last-score:: 3 + - **Preemptive** algorithm. + - Each process gets a time slice of CPU time, distributing the processing time equitably among all processes that are requesting the processor. + - Whenever the time slice expires, control of the CPU is given to the next process in the ready list, and the process being switched from is placed back into the ready process list. + - Time Slice implies the existence of a **specialised timer** that measures the processor time for each process. + - Every time a process becomes active, the timer is intitialised. + - Not very well suited for long jobs, as the scheduler will be called multiple times until the job is done. + - Very sensitive to the size of the time slice. + - Too big -> large delays in the response time for interactive processes. + - Too small -> too much time spent running the scheduler. + - Very big -> turns into FCFS. + - The time slice is determined by analysing the number of instructions that the processor can execute in a given time slice. + - + - ### Priority-Based Preemptive Scheduling (Event Driven) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:19:24.014Z + card-last-score:: 1 + - Both **preemptive** & **non-preemptive** variants exist. + - Each process has an ^^externally assigned priority.^^ + - Every time an event occurs that generates a process switch, the ^^process with the highest priority^^ is chosen from the ready process list. + - There is a possibility that processes with low priority will never gain CPU time. + - There are variants with **static** & **dynamic** priorities. + - The **dynamic priority** computation solves the problem that some processes may never gain CPU time - the longer a process waits, the higher its priority becomes. + - Used for real-time systems. + - ### Multiple Level Queue Scheduling #card + card-last-interval:: 3.57 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-09T22:43:53.128Z + card-last-reviewed:: 2022-10-06T09:43:53.128Z + card-last-score:: 5 + - Complex systems have requirements for real-time, interactive users and batch jobs - Therefore, a **combined scheduling mechanism** should be used. + - The processes are divided into **classes**. + - Each class has a process queue, and has been assigned a specific scheduling algorithm. + - Each process queue is treated according to its queue scheduling algorithm. + - Each queue is assigned a priority. + - As long as there are processes in a higher priority queue, those will be serviced. + - #### Multiple Level Queue (with Feedback) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:32:43.331Z + card-last-score:: 1 + - Same as MLQ, but the ^^processes can migrate from class to class^^ in a dynamic fashion. + - Different strategies exist to modify the priority of a process. + - Increase the priority for a given process. (E.g., the user needs a larger share of the CPU to sustain acceptable service). + - Decrease the priority for a given process. (E.g., the user process is trying to get more CPU share, which may impact on the other users). + - If a process is giving up the CPU before its time slice expires, then the process is assigned to a higher priority queue. + - During the evolution to completion, a process may go through a number of different classes. + - Any of the previous algorithms covered may be used for treating a specific process class. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-10-10T14_02_24.335Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-10-10T14_02_24.335Z.Desktop.md new file mode 100644 index 00000000..d5a6af76 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-10-10T14_02_24.335Z.Desktop.md @@ -0,0 +1,203 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Process Management]] +- **Next Topic:** null +- **Relevant Slides:** ![Lecture 5.pdf](../assets/Lecture_5_1664977343897_0.pdf) +- +- # Scheduling + - What is **scheduling**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-19T08:45:36.066Z + card-last-reviewed:: 2022-10-10T11:45:36.066Z + card-last-score:: 3 + - **Scheduling** allows one process to use the CPU while the execution of another process is on hold (i.e., in the waiting state) due to unavailability of any resource like I/O etc. + - It aims to make the system efficient, fast, & fair. + - It is part of the **process manager**. + - Scheduling is the mechanism that handles the ^^**removal** of the running processes from the CPU and the **selection** of another process.^^ + - It is responsible for **multiplexing** processes in the CPU. + - When it is time for the **running** process to be removed from the CPU (into a *ready* or *suspended* state), a different process is selected from the set of processes in the ready state. + - The selection of another process is based on a particular strategy - the **scheduling algorithm** will determine the order in which the OS will execute the processes. + - + - ## Scheduler Organisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:34:18.238Z + card-last-score:: 1 + - When a process is changed to the *ready* state. the **enqueuer** places a pointer to the process descriptor into a **ready list**. + - Whenever the scheduler switches the CPU from executing one process to another, the **context switcher** saves the contents of all the processor registers of the process being removed into the **process' descriptor**. + - There are two types of context switch: **Voluntary** & **Involuntary**. + - The **dispatcher** is invoked after the current process has been from the CPU. + - The dispatcher chooses one of the processes enqueued in the ready list and then allocates CPU to that process by performing another context switch from *itself* to the selected process. + - ![image.png](../assets/image_1664978282949_0.png) + - ## Scheduler Types + collapsed:: true + - What are the two main types of scheduler? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T17:41:55.585Z + card-last-reviewed:: 2022-10-08T22:41:55.587Z + card-last-score:: 5 + - **Cooperative** Scheduler (Voluntary CPU Sharing). + - **Preemptive** Scheduler (Involuntary CPU Sharing). + - ### Cooperative Scheduler (Voluntary CPU Sharing) #card + card-last-interval:: 3.71 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T10:14:20.540Z + card-last-reviewed:: 2022-10-06T17:14:20.542Z + card-last-score:: 3 + - Each process will **periodically invoke** the process scheduler, voluntarily sharing the CPU. + - Each process should call a function that will implement the process scheduling. + - $\text{yield}(P_{current}, P_{next})$ (sometimes implemented as instruction in hardware), where $P_{current}$ is an identifier of the current process and $P_{next}$ is an identifier of the next process. + - Cooperative multitasking allows much simpler implementation of applications, because their ^^execution is never unexpectedly interrupted by the process scheduler.^^ + - Possible problem: If the process does not voluntarily cooperate with the others, one process could keep the CPU forever. + - ### Preemptive Scheduler (Involuntary CPU Sharing) #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-17T19:51:16.969Z + card-last-reviewed:: 2022-10-08T22:51:16.969Z + card-last-score:: 3 + - The interrupt system **enforces periodic involuntary interruption** of any process's execution; it can force a process to involuntarily execute a yield type function (or instruction). + - This is done by incorporating an **interval timer** device that produces an interrupt whenever the time expires. + - The programmable interval timer will cause an **interrupt** to run every $K$ clock ticks of a time interval, thus causing the hardware to execute the logical equivalent of a yield instruction to invoke the **interruption handler**. + - The **interrupt handler** for the timer interrupt will call the scheduler to reschedule the processor **without** any action on the part of the running process. + - The scheduler decides which process is run next. + - The scheduler is guaranteed to be invoked once every $K$ clock ticks. + - Even if a certain process executes in an infinite loop, it will **not** block the execution of the other processes. + - + - ## Performance Elements + - Having a set of processes $P = \{p_i, 0 \leq i \leq n\}$. + - **Service Time -** $\tau(p_i)$: The amount of time that a process needs to spend in the active/running state before it completes. + - **Wait Time -** $W(p_i)$: The time that the process spends waiting in the ready state before its first transition to the active state. + - **Turn-around Time -** $T_{TRnd}(p_i)$: The amount of time between the moment that a process enters the ready state and the moment that the process exits the running state for the last time. + - These elements are used to measure the performance of each scheduling algorithm. + - + - ## Selection Strategies #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:34:49.280Z + card-last-score:: 1 + - ### Non-Preemptive Strategies #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-14T11:45:13.446Z + card-last-reviewed:: 2022-10-10T11:45:13.446Z + card-last-score:: 5 + - Allow any process to run to completion once it has been allocated control of the CPU. + - A process that gets the control of the CPU releases the CPU whenever it ends or when it voluntarily gives up control of the CPU. + - ### Preemptive Strategies #card + card-last-interval:: 3.1 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T12:22:34.748Z + card-last-reviewed:: 2022-10-07T10:22:34.748Z + card-last-score:: 3 + - The process with the highest priority among all the *ready* process is allocated the CPU. + - All lower priority processes are made to yield to the highest priority process whenever it requests the CPU. + - The **scheduler** is called every time a process enters the *ready* queue as well as when an interval timer expires. + - Preemptive strategies allow for equitable resource sharing among processes, at the expense of overloading the system. + - + - ## Scheduling Algorithms + - ### First Come, First Served (FCFS) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:44:24.451Z + card-last-score:: 1 + - **Non-preemptive** algorithm. + - This scheduling strategy assigns priority to processes by the order in which they request the processor. + - The priority of a process is computed by the enqueuer by **time stamping** all incoming processes and then having the dispatcher select the process that has the ^^oidest time stamp.^^ + - Possible implementation: Using a FIFO data structure (where each entry points to a process descriptor). The enqueuer adds processes to the tail of the queue and the dispatcher removes processes from the head of the queue. + - Easy to implement. + - Not widely used because of ^^unpredictable **turn-around time** & **waiting time**.^^ + - ### Shortest Job First (SJF) #card + card-last-interval:: 2.77 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T04:23:33.101Z + card-last-reviewed:: 2022-10-07T10:23:33.101Z + card-last-score:: 3 + - **Non-preemptive** algorithm. + - SJF is an optimal algorithm from the perspective of **average turn-around time** - it minimises the average turn-around time. + - Preferential service of small jobs. + - Requires the ^^knowledge of the **service time**^^ for each process. + - In extreme cases where the system has little idle time, processes with large service time will never be served. + - In the case where it is not possible to know the service time for each process, the service time is estimated using predictors. + - ### Shortest Remaining Time Next (SRTN) #card + card-last-interval:: 3.45 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T03:22:34.266Z + card-last-reviewed:: 2022-10-06T17:22:34.267Z + card-last-score:: 5 + - Similar to SJF, but **preemptive**. + - If a long job is mostly complete, it might have a very short time remaining, and therefore would be prioritised. + - ### Time Slice (Round Robin) #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T09:39:03.608Z + card-last-reviewed:: 2022-10-06T09:39:03.608Z + card-last-score:: 3 + - **Preemptive** algorithm. + - Each process gets a time slice of CPU time, distributing the processing time equitably among all processes that are requesting the processor. + - Whenever the time slice expires, control of the CPU is given to the next process in the ready list, and the process being switched from is placed back into the ready process list. + - Time Slice implies the existence of a **specialised timer** that measures the processor time for each process. + - Every time a process becomes active, the timer is intitialised. + - Not very well suited for long jobs, as the scheduler will be called multiple times until the job is done. + - Very sensitive to the size of the time slice. + - Too big -> large delays in the response time for interactive processes. + - Too small -> too much time spent running the scheduler. + - Very big -> turns into FCFS. + - The time slice is determined by analysing the number of instructions that the processor can execute in a given time slice. + - + - ### Priority-Based Preemptive Scheduling (Event Driven) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:35:39.065Z + card-last-score:: 1 + - Both **preemptive** & **non-preemptive** variants exist. + - Each process has an ^^externally assigned priority.^^ + - Every time an event occurs that generates a process switch, the ^^process with the highest priority^^ is chosen from the ready process list. + - There is a possibility that processes with low priority will never gain CPU time. + - There are variants with **static** & **dynamic** priorities. + - The **dynamic priority** computation solves the problem that some processes may never gain CPU time - the longer a process waits, the higher its priority becomes. + - Used for real-time systems. + - ### Multiple Level Queue Scheduling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:46:27.395Z + card-last-score:: 1 + - Complex systems have requirements for real-time, interactive users and batch jobs - Therefore, a **combined scheduling mechanism** should be used. + - The processes are divided into **classes**. + - Each class has a process queue, and has been assigned a specific scheduling algorithm. + - Each process queue is treated according to its queue scheduling algorithm. + - Each queue is assigned a priority. + - As long as there are processes in a higher priority queue, those will be serviced. + - #### Multiple Level Queue (with Feedback) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:40:03.804Z + card-last-score:: 1 + - Same as MLQ, but the ^^processes can migrate from class to class^^ in a dynamic fashion. + - Different strategies exist to modify the priority of a process. + - Increase the priority for a given process. (E.g., the user needs a larger share of the CPU to sustain acceptable service). + - Decrease the priority for a given process. (E.g., the user process is trying to get more CPU share, which may impact on the other users). + - If a process is giving up the CPU before its time slice expires, then the process is assigned to a higher priority queue. + - During the evolution to completion, a process may go through a number of different classes. + - Any of the previous algorithms covered may be used for treating a specific process class. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-10-20T09_05_57.927Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-10-20T09_05_57.927Z.Desktop.md new file mode 100644 index 00000000..96c98237 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-10-20T09_05_57.927Z.Desktop.md @@ -0,0 +1,203 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Process Management]] +- **Next Topic:** [[Process Synchronisation]] +- **Relevant Slides:** ![Lecture 5.pdf](../assets/Lecture_5_1664977343897_0.pdf) +- +- # Scheduling + - What is **scheduling**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-19T08:45:36.066Z + card-last-reviewed:: 2022-10-10T11:45:36.066Z + card-last-score:: 3 + - **Scheduling** allows one process to use the CPU while the execution of another process is on hold (i.e., in the waiting state) due to unavailability of any resource like I/O etc. + - It aims to make the system efficient, fast, & fair. + - It is part of the **process manager**. + - Scheduling is the mechanism that handles the ^^**removal** of the running processes from the CPU and the **selection** of another process.^^ + - It is responsible for **multiplexing** processes in the CPU. + - When it is time for the **running** process to be removed from the CPU (into a *ready* or *suspended* state), a different process is selected from the set of processes in the ready state. + - The selection of another process is based on a particular strategy - the **scheduling algorithm** will determine the order in which the OS will execute the processes. + - + - ## Scheduler Organisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:34:18.238Z + card-last-score:: 1 + - When a process is changed to the *ready* state. the **enqueuer** places a pointer to the process descriptor into a **ready list**. + - Whenever the scheduler switches the CPU from executing one process to another, the **context switcher** saves the contents of all the processor registers of the process being removed into the **process' descriptor**. + - There are two types of context switch: **Voluntary** & **Involuntary**. + - The **dispatcher** is invoked after the current process has been from the CPU. + - The dispatcher chooses one of the processes enqueued in the ready list and then allocates CPU to that process by performing another context switch from *itself* to the selected process. + - ![image.png](../assets/image_1664978282949_0.png) + - ## Scheduler Types + collapsed:: true + - What are the two main types of scheduler? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T17:41:55.585Z + card-last-reviewed:: 2022-10-08T22:41:55.587Z + card-last-score:: 5 + - **Cooperative** Scheduler (Voluntary CPU Sharing). + - **Preemptive** Scheduler (Involuntary CPU Sharing). + - ### Cooperative Scheduler (Voluntary CPU Sharing) #card + card-last-interval:: 3.71 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T10:14:20.540Z + card-last-reviewed:: 2022-10-06T17:14:20.542Z + card-last-score:: 3 + - Each process will **periodically invoke** the process scheduler, voluntarily sharing the CPU. + - Each process should call a function that will implement the process scheduling. + - $\text{yield}(P_{current}, P_{next})$ (sometimes implemented as instruction in hardware), where $P_{current}$ is an identifier of the current process and $P_{next}$ is an identifier of the next process. + - Cooperative multitasking allows much simpler implementation of applications, because their ^^execution is never unexpectedly interrupted by the process scheduler.^^ + - Possible problem: If the process does not voluntarily cooperate with the others, one process could keep the CPU forever. + - ### Preemptive Scheduler (Involuntary CPU Sharing) #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-17T19:51:16.969Z + card-last-reviewed:: 2022-10-08T22:51:16.969Z + card-last-score:: 3 + - The interrupt system **enforces periodic involuntary interruption** of any process's execution; it can force a process to involuntarily execute a yield type function (or instruction). + - This is done by incorporating an **interval timer** device that produces an interrupt whenever the time expires. + - The programmable interval timer will cause an **interrupt** to run every $K$ clock ticks of a time interval, thus causing the hardware to execute the logical equivalent of a yield instruction to invoke the **interruption handler**. + - The **interrupt handler** for the timer interrupt will call the scheduler to reschedule the processor **without** any action on the part of the running process. + - The scheduler decides which process is run next. + - The scheduler is guaranteed to be invoked once every $K$ clock ticks. + - Even if a certain process executes in an infinite loop, it will **not** block the execution of the other processes. + - + - ## Performance Elements + - Having a set of processes $P = \{p_i, 0 \leq i \leq n\}$. + - **Service Time -** $\tau(p_i)$: The amount of time that a process needs to spend in the active/running state before it completes. + - **Wait Time -** $W(p_i)$: The time that the process spends waiting in the ready state before its first transition to the active state. + - **Turn-around Time -** $T_{TRnd}(p_i)$: The amount of time between the moment that a process enters the ready state and the moment that the process exits the running state for the last time. + - These elements are used to measure the performance of each scheduling algorithm. + - + - ## Selection Strategies #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:34:49.280Z + card-last-score:: 1 + - ### Non-Preemptive Strategies #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-14T11:45:13.446Z + card-last-reviewed:: 2022-10-10T11:45:13.446Z + card-last-score:: 5 + - Allow any process to run to completion once it has been allocated control of the CPU. + - A process that gets the control of the CPU releases the CPU whenever it ends or when it voluntarily gives up control of the CPU. + - ### Preemptive Strategies #card + card-last-interval:: 3.1 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T12:22:34.748Z + card-last-reviewed:: 2022-10-07T10:22:34.748Z + card-last-score:: 3 + - The process with the highest priority among all the *ready* process is allocated the CPU. + - All lower priority processes are made to yield to the highest priority process whenever it requests the CPU. + - The **scheduler** is called every time a process enters the *ready* queue as well as when an interval timer expires. + - Preemptive strategies allow for equitable resource sharing among processes, at the expense of overloading the system. + - + - ## Scheduling Algorithms + - ### First Come, First Served (FCFS) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:44:24.451Z + card-last-score:: 1 + - **Non-preemptive** algorithm. + - This scheduling strategy assigns priority to processes by the order in which they request the processor. + - The priority of a process is computed by the enqueuer by **time stamping** all incoming processes and then having the dispatcher select the process that has the ^^oidest time stamp.^^ + - Possible implementation: Using a FIFO data structure (where each entry points to a process descriptor). The enqueuer adds processes to the tail of the queue and the dispatcher removes processes from the head of the queue. + - Easy to implement. + - Not widely used because of ^^unpredictable **turn-around time** & **waiting time**.^^ + - ### Shortest Job First (SJF) #card + card-last-interval:: 2.77 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T04:23:33.101Z + card-last-reviewed:: 2022-10-07T10:23:33.101Z + card-last-score:: 3 + - **Non-preemptive** algorithm. + - SJF is an optimal algorithm from the perspective of **average turn-around time** - it minimises the average turn-around time. + - Preferential service of small jobs. + - Requires the ^^knowledge of the **service time**^^ for each process. + - In extreme cases where the system has little idle time, processes with large service time will never be served. + - In the case where it is not possible to know the service time for each process, the service time is estimated using predictors. + - ### Shortest Remaining Time Next (SRTN) #card + card-last-interval:: 3.45 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T03:22:34.266Z + card-last-reviewed:: 2022-10-06T17:22:34.267Z + card-last-score:: 5 + - Similar to SJF, but **preemptive**. + - If a long job is mostly complete, it might have a very short time remaining, and therefore would be prioritised. + - ### Time Slice (Round Robin) #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T09:39:03.608Z + card-last-reviewed:: 2022-10-06T09:39:03.608Z + card-last-score:: 3 + - **Preemptive** algorithm. + - Each process gets a time slice of CPU time, distributing the processing time equitably among all processes that are requesting the processor. + - Whenever the time slice expires, control of the CPU is given to the next process in the ready list, and the process being switched from is placed back into the ready process list. + - Time Slice implies the existence of a **specialised timer** that measures the processor time for each process. + - Every time a process becomes active, the timer is intitialised. + - Not very well suited for long jobs, as the scheduler will be called multiple times until the job is done. + - Very sensitive to the size of the time slice. + - Too big -> large delays in the response time for interactive processes. + - Too small -> too much time spent running the scheduler. + - Very big -> turns into FCFS. + - The time slice is determined by analysing the number of instructions that the processor can execute in a given time slice. + - + - ### Priority-Based Preemptive Scheduling (Event Driven) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:35:39.065Z + card-last-score:: 1 + - Both **preemptive** & **non-preemptive** variants exist. + - Each process has an ^^externally assigned priority.^^ + - Every time an event occurs that generates a process switch, the ^^process with the highest priority^^ is chosen from the ready process list. + - There is a possibility that processes with low priority will never gain CPU time. + - There are variants with **static** & **dynamic** priorities. + - The **dynamic priority** computation solves the problem that some processes may never gain CPU time - the longer a process waits, the higher its priority becomes. + - Used for real-time systems. + - ### Multiple Level Queue Scheduling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:46:27.395Z + card-last-score:: 1 + - Complex systems have requirements for real-time, interactive users and batch jobs - Therefore, a **combined scheduling mechanism** should be used. + - The processes are divided into **classes**. + - Each class has a process queue, and has been assigned a specific scheduling algorithm. + - Each process queue is treated according to its queue scheduling algorithm. + - Each queue is assigned a priority. + - As long as there are processes in a higher priority queue, those will be serviced. + - #### Multiple Level Queue (with Feedback) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:40:03.804Z + card-last-score:: 1 + - Same as MLQ, but the ^^processes can migrate from class to class^^ in a dynamic fashion. + - Different strategies exist to modify the priority of a process. + - Increase the priority for a given process. (E.g., the user needs a larger share of the CPU to sustain acceptable service). + - Decrease the priority for a given process. (E.g., the user process is trying to get more CPU share, which may impact on the other users). + - If a process is giving up the CPU before its time slice expires, then the process is assigned to a higher priority queue. + - During the evolution to completion, a process may go through a number of different classes. + - Any of the previous algorithms covered may be used for treating a specific process class. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-11-09T13_03_58.043Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-11-09T13_03_58.043Z.Desktop.md new file mode 100644 index 00000000..5d3f92da --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-11-09T13_03_58.043Z.Desktop.md @@ -0,0 +1,203 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Process Management]] +- **Next Topic:** [[Process Synchronisation]] +- **Relevant Slides:** ![Lecture 5.pdf](../assets/Lecture_5_1664977343897_0.pdf) +- +- # Scheduling + - What is **scheduling**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-19T08:45:36.066Z + card-last-reviewed:: 2022-10-10T11:45:36.066Z + card-last-score:: 3 + - **Scheduling** allows one process to use the CPU while the execution of another process is on hold (i.e., in the waiting state) due to unavailability of any resource like I/O etc. + - It aims to make the system efficient, fast, & fair. + - It is part of the **process manager**. + - Scheduling is the mechanism that handles the ^^**removal** of the running processes from the CPU and the **selection** of another process.^^ + - It is responsible for **multiplexing** processes in the CPU. + - When it is time for the **running** process to be removed from the CPU (into a *ready* or *suspended* state), a different process is selected from the set of processes in the ready state. + - The selection of another process is based on a particular strategy - the **scheduling algorithm** will determine the order in which the OS will execute the processes. + - + - ## Scheduler Organisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:34:18.238Z + card-last-score:: 1 + - When a process is changed to the *ready* state. the **enqueuer** places a pointer to the process descriptor into a **ready list**. + - Whenever the scheduler switches the CPU from executing one process to another, the **context switcher** saves the contents of all the processor registers of the process being removed into the **process' descriptor**. + - There are two types of context switch: **Voluntary** & **Involuntary**. + - The **dispatcher** is invoked after the current process has been from the CPU. + - The dispatcher chooses one of the processes enqueued in the ready list and then allocates CPU to that process by performing another context switch from *itself* to the selected process. + - ![image.png](../assets/image_1664978282949_0.png) + - ## Scheduler Types + collapsed:: true + - What are the two main types of scheduler? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T17:41:55.585Z + card-last-reviewed:: 2022-10-08T22:41:55.587Z + card-last-score:: 5 + - **Cooperative** Scheduler (Voluntary CPU Sharing). + - **Preemptive** Scheduler (Involuntary CPU Sharing). + - ### Cooperative Scheduler (Voluntary CPU Sharing) #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-23T18:31:15.409Z + card-last-reviewed:: 2022-10-20T08:31:15.409Z + card-last-score:: 5 + - Each process will **periodically invoke** the process scheduler, voluntarily sharing the CPU. + - Each process should call a function that will implement the process scheduling. + - $\text{yield}(P_{current}, P_{next})$ (sometimes implemented as instruction in hardware), where $P_{current}$ is an identifier of the current process and $P_{next}$ is an identifier of the next process. + - Cooperative multitasking allows much simpler implementation of applications, because their ^^execution is never unexpectedly interrupted by the process scheduler.^^ + - Possible problem: If the process does not voluntarily cooperate with the others, one process could keep the CPU forever. + - ### Preemptive Scheduler (Involuntary CPU Sharing) #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-17T19:51:16.969Z + card-last-reviewed:: 2022-10-08T22:51:16.969Z + card-last-score:: 3 + - The interrupt system **enforces periodic involuntary interruption** of any process's execution; it can force a process to involuntarily execute a yield type function (or instruction). + - This is done by incorporating an **interval timer** device that produces an interrupt whenever the time expires. + - The programmable interval timer will cause an **interrupt** to run every $K$ clock ticks of a time interval, thus causing the hardware to execute the logical equivalent of a yield instruction to invoke the **interruption handler**. + - The **interrupt handler** for the timer interrupt will call the scheduler to reschedule the processor **without** any action on the part of the running process. + - The scheduler decides which process is run next. + - The scheduler is guaranteed to be invoked once every $K$ clock ticks. + - Even if a certain process executes in an infinite loop, it will **not** block the execution of the other processes. + - + - ## Performance Elements + - Having a set of processes $P = \{p_i, 0 \leq i \leq n\}$. + - **Service Time -** $\tau(p_i)$: The amount of time that a process needs to spend in the active/running state before it completes. + - **Wait Time -** $W(p_i)$: The time that the process spends waiting in the ready state before its first transition to the active state. + - **Turn-around Time -** $T_{TRnd}(p_i)$: The amount of time between the moment that a process enters the ready state and the moment that the process exits the running state for the last time. + - These elements are used to measure the performance of each scheduling algorithm. + - + - ## Selection Strategies #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:50:48.551Z + card-last-score:: 1 + - ### Non-Preemptive Strategies #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-14T11:45:13.446Z + card-last-reviewed:: 2022-10-10T11:45:13.446Z + card-last-score:: 5 + - Allow any process to run to completion once it has been allocated control of the CPU. + - A process that gets the control of the CPU releases the CPU whenever it ends or when it voluntarily gives up control of the CPU. + - ### Preemptive Strategies #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:31:38.171Z + card-last-score:: 1 + - The process with the highest priority among all the *ready* process is allocated the CPU. + - All lower priority processes are made to yield to the highest priority process whenever it requests the CPU. + - The **scheduler** is called every time a process enters the *ready* queue as well as when an interval timer expires. + - Preemptive strategies allow for equitable resource sharing among processes, at the expense of overloading the system. + - + - ## Scheduling Algorithms + - ### First Come, First Served (FCFS) #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-24T08:38:33.286Z + card-last-reviewed:: 2022-10-20T08:38:33.286Z + card-last-score:: 3 + - **Non-preemptive** algorithm. + - This scheduling strategy assigns priority to processes by the order in which they request the processor. + - The priority of a process is computed by the enqueuer by **time stamping** all incoming processes and then having the dispatcher select the process that has the ^^oidest time stamp.^^ + - Possible implementation: Using a FIFO data structure (where each entry points to a process descriptor). The enqueuer adds processes to the tail of the queue and the dispatcher removes processes from the head of the queue. + - Easy to implement. + - Not widely used because of ^^unpredictable **turn-around time** & **waiting time**.^^ + - ### Shortest Job First (SJF) #card + card-last-interval:: 8.63 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-28T23:29:59.692Z + card-last-reviewed:: 2022-10-20T08:29:59.692Z + card-last-score:: 5 + - **Non-preemptive** algorithm. + - SJF is an optimal algorithm from the perspective of **average turn-around time** - it minimises the average turn-around time. + - Preferential service of small jobs. + - Requires the ^^knowledge of the **service time**^^ for each process. + - In extreme cases where the system has little idle time, processes with large service time will never be served. + - In the case where it is not possible to know the service time for each process, the service time is estimated using predictors. + - ### Shortest Remaining Time Next (SRTN) #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-23T18:29:18.651Z + card-last-reviewed:: 2022-10-20T08:29:18.651Z + card-last-score:: 3 + - Similar to SJF, but **preemptive**. + - If a long job is mostly complete, it might have a very short time remaining, and therefore would be prioritised. + - ### Time Slice (Round Robin) #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-24T08:30:13.805Z + card-last-reviewed:: 2022-10-20T08:30:13.806Z + card-last-score:: 3 + - **Preemptive** algorithm. + - Each process gets a time slice of CPU time, distributing the processing time equitably among all processes that are requesting the processor. + - Whenever the time slice expires, control of the CPU is given to the next process in the ready list, and the process being switched from is placed back into the ready process list. + - Time Slice implies the existence of a **specialised timer** that measures the processor time for each process. + - Every time a process becomes active, the timer is intitialised. + - Not very well suited for long jobs, as the scheduler will be called multiple times until the job is done. + - Very sensitive to the size of the time slice. + - Too big -> large delays in the response time for interactive processes. + - Too small -> too much time spent running the scheduler. + - Very big -> turns into FCFS. + - The time slice is determined by analysing the number of instructions that the processor can execute in a given time slice. + - + - ### Priority-Based Preemptive Scheduling (Event Driven) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:35:39.065Z + card-last-score:: 1 + - Both **preemptive** & **non-preemptive** variants exist. + - Each process has an ^^externally assigned priority.^^ + - Every time an event occurs that generates a process switch, the ^^process with the highest priority^^ is chosen from the ready process list. + - There is a possibility that processes with low priority will never gain CPU time. + - There are variants with **static** & **dynamic** priorities. + - The **dynamic priority** computation solves the problem that some processes may never gain CPU time - the longer a process waits, the higher its priority becomes. + - Used for real-time systems. + - ### Multiple Level Queue Scheduling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:43:05.332Z + card-last-score:: 1 + - Complex systems have requirements for real-time, interactive users and batch jobs - Therefore, a **combined scheduling mechanism** should be used. + - The processes are divided into **classes**. + - Each class has a process queue, and has been assigned a specific scheduling algorithm. + - Each process queue is treated according to its queue scheduling algorithm. + - Each queue is assigned a priority. + - As long as there are processes in a higher priority queue, those will be serviced. + - #### Multiple Level Queue (with Feedback) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:40:03.804Z + card-last-score:: 1 + - Same as MLQ, but the ^^processes can migrate from class to class^^ in a dynamic fashion. + - Different strategies exist to modify the priority of a process. + - Increase the priority for a given process. (E.g., the user needs a larger share of the CPU to sustain acceptable service). + - Decrease the priority for a given process. (E.g., the user process is trying to get more CPU share, which may impact on the other users). + - If a process is giving up the CPU before its time slice expires, then the process is assigned to a higher priority queue. + - During the evolution to completion, a process may go through a number of different classes. + - Any of the previous algorithms covered may be used for treating a specific process class. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-11-11T12_04_45.315Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-11-11T12_04_45.315Z.Desktop.md new file mode 100644 index 00000000..efba3554 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/CPU Management - Scheduling/2022-11-11T12_04_45.315Z.Desktop.md @@ -0,0 +1,203 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Process Management]] +- **Next Topic:** [[Process Synchronisation]] +- **Relevant Slides:** ![Lecture 5.pdf](../assets/Lecture_5_1664977343897_0.pdf) +- +- # Scheduling + - What is **scheduling**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-19T08:45:36.066Z + card-last-reviewed:: 2022-10-10T11:45:36.066Z + card-last-score:: 3 + - **Scheduling** allows one process to use the CPU while the execution of another process is on hold (i.e., in the waiting state) due to unavailability of any resource like I/O etc. + - It aims to make the system efficient, fast, & fair. + - It is part of the **process manager**. + - Scheduling is the mechanism that handles the ^^**removal** of the running processes from the CPU and the **selection** of another process.^^ + - It is responsible for **multiplexing** processes in the CPU. + - When it is time for the **running** process to be removed from the CPU (into a *ready* or *suspended* state), a different process is selected from the set of processes in the ready state. + - The selection of another process is based on a particular strategy - the **scheduling algorithm** will determine the order in which the OS will execute the processes. + - + - ## Scheduler Organisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:34:18.238Z + card-last-score:: 1 + - When a process is changed to the *ready* state. the **enqueuer** places a pointer to the process descriptor into a **ready list**. + - Whenever the scheduler switches the CPU from executing one process to another, the **context switcher** saves the contents of all the processor registers of the process being removed into the **process' descriptor**. + - There are two types of context switch: **Voluntary** & **Involuntary**. + - The **dispatcher** is invoked after the current process has been from the CPU. + - The dispatcher chooses one of the processes enqueued in the ready list and then allocates CPU to that process by performing another context switch from *itself* to the selected process. + - ![image.png](../assets/image_1664978282949_0.png) + - ## Scheduler Types + collapsed:: true + - What are the two main types of scheduler? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T17:41:55.585Z + card-last-reviewed:: 2022-10-08T22:41:55.587Z + card-last-score:: 5 + - **Cooperative** Scheduler (Voluntary CPU Sharing). + - **Preemptive** Scheduler (Involuntary CPU Sharing). + - ### Cooperative Scheduler (Voluntary CPU Sharing) #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-23T18:31:15.409Z + card-last-reviewed:: 2022-10-20T08:31:15.409Z + card-last-score:: 5 + - Each process will **periodically invoke** the process scheduler, voluntarily sharing the CPU. + - Each process should call a function that will implement the process scheduling. + - $\text{yield}(P_{current}, P_{next})$ (sometimes implemented as instruction in hardware), where $P_{current}$ is an identifier of the current process and $P_{next}$ is an identifier of the next process. + - Cooperative multitasking allows much simpler implementation of applications, because their ^^execution is never unexpectedly interrupted by the process scheduler.^^ + - Possible problem: If the process does not voluntarily cooperate with the others, one process could keep the CPU forever. + - ### Preemptive Scheduler (Involuntary CPU Sharing) #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-17T19:51:16.969Z + card-last-reviewed:: 2022-10-08T22:51:16.969Z + card-last-score:: 3 + - The interrupt system **enforces periodic involuntary interruption** of any process's execution; it can force a process to involuntarily execute a yield type function (or instruction). + - This is done by incorporating an **interval timer** device that produces an interrupt whenever the time expires. + - The programmable interval timer will cause an **interrupt** to run every $K$ clock ticks of a time interval, thus causing the hardware to execute the logical equivalent of a yield instruction to invoke the **interruption handler**. + - The **interrupt handler** for the timer interrupt will call the scheduler to reschedule the processor **without** any action on the part of the running process. + - The scheduler decides which process is run next. + - The scheduler is guaranteed to be invoked once every $K$ clock ticks. + - Even if a certain process executes in an infinite loop, it will **not** block the execution of the other processes. + - + - ## Performance Elements + - Having a set of processes $P = \{p_i, 0 \leq i \leq n\}$. + - **Service Time -** $\tau(p_i)$: The amount of time that a process needs to spend in the active/running state before it completes. + - **Wait Time -** $W(p_i)$: The time that the process spends waiting in the ready state before its first transition to the active state. + - **Turn-around Time -** $T_{TRnd}(p_i)$: The amount of time between the moment that a process enters the ready state and the moment that the process exits the running state for the last time. + - These elements are used to measure the performance of each scheduling algorithm. + - + - ## Selection Strategies #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:50:48.551Z + card-last-score:: 1 + - ### Non-Preemptive Strategies #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-14T11:45:13.446Z + card-last-reviewed:: 2022-10-10T11:45:13.446Z + card-last-score:: 5 + - Allow any process to run to completion once it has been allocated control of the CPU. + - A process that gets the control of the CPU releases the CPU whenever it ends or when it voluntarily gives up control of the CPU. + - ### Preemptive Strategies #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:31:38.171Z + card-last-score:: 1 + - The process with the highest priority among all the *ready* process is allocated the CPU. + - All lower priority processes are made to yield to the highest priority process whenever it requests the CPU. + - The **scheduler** is called every time a process enters the *ready* queue as well as when an interval timer expires. + - Preemptive strategies allow for equitable resource sharing among processes, at the expense of overloading the system. + - + - ## Scheduling Algorithms + - ### First Come, First Served (FCFS) #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-24T08:38:33.286Z + card-last-reviewed:: 2022-10-20T08:38:33.286Z + card-last-score:: 3 + - **Non-preemptive** algorithm. + - This scheduling strategy assigns priority to processes by the order in which they request the processor. + - The priority of a process is computed by the enqueuer by **time stamping** all incoming processes and then having the dispatcher select the process that has the ^^oidest time stamp.^^ + - Possible implementation: Using a FIFO data structure (where each entry points to a process descriptor). The enqueuer adds processes to the tail of the queue and the dispatcher removes processes from the head of the queue. + - Easy to implement. + - Not widely used because of ^^unpredictable **turn-around time** & **waiting time**.^^ + - ### Shortest Job First (SJF) #card + card-last-interval:: 8.63 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-28T23:29:59.692Z + card-last-reviewed:: 2022-10-20T08:29:59.692Z + card-last-score:: 5 + - **Non-preemptive** algorithm. + - SJF is an optimal algorithm from the perspective of **average turn-around time** - it minimises the average turn-around time. + - Preferential service of small jobs. + - Requires the ^^knowledge of the **service time**^^ for each process. + - In extreme cases where the system has little idle time, processes with large service time will never be served. + - In the case where it is not possible to know the service time for each process, the service time is estimated using predictors. + - ### Shortest Remaining Time Next (SRTN) #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-23T18:29:18.651Z + card-last-reviewed:: 2022-10-20T08:29:18.651Z + card-last-score:: 3 + - Similar to SJF, but **preemptive**. + - If a long job is mostly complete, it might have a very short time remaining, and therefore would be prioritised. + - ### Time Slice (Round Robin) #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-24T08:30:13.805Z + card-last-reviewed:: 2022-10-20T08:30:13.806Z + card-last-score:: 3 + - **Preemptive** algorithm. + - Each process gets a time slice of CPU time, distributing the processing time equitably among all processes that are requesting the processor. + - Whenever the time slice expires, control of the CPU is given to the next process in the ready list, and the process being switched from is placed back into the ready process list. + - Time Slice implies the existence of a **specialised timer** that measures the processor time for each process. + - Every time a process becomes active, the timer is intitialised. + - Not very well suited for long jobs, as the scheduler will be called multiple times until the job is done. + - Very sensitive to the size of the time slice. + - Too big -> large delays in the response time for interactive processes. + - Too small -> too much time spent running the scheduler. + - Very big -> turns into FCFS. + - The time slice is determined by analysing the number of instructions that the processor can execute in a given time slice. + - + - ### Priority-Based Preemptive Scheduling (Event Driven) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:35:39.065Z + card-last-score:: 1 + - Both **preemptive** & **non-preemptive** variants exist. + - Each process has an ^^externally assigned priority.^^ + - Every time an event occurs that generates a process switch, the ^^process with the highest priority^^ is chosen from the ready process list. + - There is a possibility that processes with low priority will never gain CPU time. + - There are variants with **static** & **dynamic** priorities. + - The **dynamic priority** computation solves the problem that some processes may never gain CPU time - the longer a process waits, the higher its priority becomes. + - Used for real-time systems. + - ### Multiple Level Queue Scheduling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:43:47.911Z + card-last-score:: 1 + - Complex systems have requirements for real-time, interactive users and batch jobs - Therefore, a **combined scheduling mechanism** should be used. + - The processes are divided into **classes**. + - Each class has a process queue, and has been assigned a specific scheduling algorithm. + - Each process queue is treated according to its queue scheduling algorithm. + - Each queue is assigned a priority. + - As long as there are processes in a higher priority queue, those will be serviced. + - #### Multiple Level Queue (with Feedback) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:40:03.804Z + card-last-score:: 1 + - Same as MLQ, but the ^^processes can migrate from class to class^^ in a dynamic fashion. + - Different strategies exist to modify the priority of a process. + - Increase the priority for a given process. (E.g., the user needs a larger share of the CPU to sustain acceptable service). + - Decrease the priority for a given process. (E.g., the user process is trying to get more CPU share, which may impact on the other users). + - If a process is giving up the CPU before its time slice expires, then the process is assigned to a higher priority queue. + - During the evolution to completion, a process may go through a number of different classes. + - Any of the previous algorithms covered may be used for treating a specific process class. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Cloud Computing/2022-09-30T10_01_42.255Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Cloud Computing/2022-09-30T10_01_42.255Z.Desktop.md new file mode 100644 index 00000000..9fad7885 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Cloud Computing/2022-09-30T10_01_42.255Z.Desktop.md @@ -0,0 +1,80 @@ +- #[[CT216 - Software Engineering I]] +- No previous topic +- **Next Topic:** [[Software Processes]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662846749778_0.pdf) +- +- What is **Cloud Computing**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-22T15:15:54.781Z + card-last-reviewed:: 2022-09-18T15:15:54.782Z + card-last-score:: 3 + - **Cloud Computing** is a model for enabling convenient, on-demand network access to a ^^shared pool of configurable computing resources^^ (e.g., networks, servers, storage, applications, & services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. +- What is a **Public Cloud**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T14:58:45.902Z + card-last-reviewed:: 2022-09-18T14:58:45.902Z + card-last-score:: 5 + - Amazon, MS Azure, & Google Cloud are examples of **public clouds**. + - Any member of the public can sign up and start provisioning computing resources within minutes. + - They are **highly scalable** and allow an organisation to grow its infrastructure rapidly. +- What is a **Private Cloud**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:09:14.946Z + card-last-reviewed:: 2022-09-18T15:09:14.947Z + card-last-score:: 5 + - Computing resources are dedicated to a single customer and not shared with other customers. + - Considered to be more **secure**. +- What is a **Hybrid Cloud**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T14:57:26.074Z + card-last-reviewed:: 2022-09-18T14:57:26.075Z + card-last-score:: 5 + - A **hybrid cloud** is simply a mix of public & private cloud resources. + - An organisation may choose this option if there is a mixture in the criticality of their data or computational requirements. + - Data that doesn't require heightened security can be pushed onto the **public cloud**, while data which does can be hosted on the **private cloud**. +- ## Cloud Services + - What is **SaaS**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T18:27:14.210Z + card-last-reviewed:: 2022-09-19T18:27:14.211Z + card-last-score:: 3 + - **Software as a Service (SaaS)** provides users with (essentially) ^^a **cloud application**, the platform on which it runs, & the platform's underlying infrastructure.^^ + - What is **PaaS**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:29:40.779Z + card-last-score:: 1 + - **Platform as a Service (PaaS)** provides users with ^^compute, networking, & storage resources.^^ +- +- What are the advantages of cloud computing? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:24:40.121Z + card-last-reviewed:: 2022-09-19T18:24:40.122Z + card-last-score:: 5 + - **Elasticity** - if your application becomes very popular, you can procure new resources within minutes. + - Reduced capital expenditure. + - Economies of scale. +- What are the disadvantages of cloud computing? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:05:53.952Z + card-last-reviewed:: 2022-09-19T18:05:53.952Z + card-last-score:: 5 + - Security / privacy + - Cost + - Migration issues \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Cloud Computing/2022-10-20T09_05_57.928Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Cloud Computing/2022-10-20T09_05_57.928Z.Desktop.md new file mode 100644 index 00000000..5a475883 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Cloud Computing/2022-10-20T09_05_57.928Z.Desktop.md @@ -0,0 +1,80 @@ +- #[[CT216 - Software Engineering I]] +- No previous topic +- **Next Topic:** [[Software Processes]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662846749778_0.pdf) +- +- What is **Cloud Computing**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-10T19:29:53.364Z + card-last-reviewed:: 2022-10-01T13:29:53.365Z + card-last-score:: 5 + - **Cloud Computing** is a model for enabling convenient, on-demand network access to a ^^shared pool of configurable computing resources^^ (e.g., networks, servers, storage, applications, & services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. +- What is a **Public Cloud**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:16:02.512Z + card-last-reviewed:: 2022-09-30T12:16:02.512Z + card-last-score:: 5 + - Amazon, MS Azure, & Google Cloud are examples of **public clouds**. + - Any member of the public can sign up and start provisioning computing resources within minutes. + - They are **highly scalable** and allow an organisation to grow its infrastructure rapidly. +- What is a **Private Cloud**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T18:17:34.107Z + card-last-reviewed:: 2022-10-01T13:17:34.107Z + card-last-score:: 5 + - Computing resources are dedicated to a single customer and not shared with other customers. + - Considered to be more **secure**. +- What is a **Hybrid Cloud**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:15:46.810Z + card-last-reviewed:: 2022-09-30T12:15:46.810Z + card-last-score:: 5 + - A **hybrid cloud** is simply a mix of public & private cloud resources. + - An organisation may choose this option if there is a mixture in the criticality of their data or computational requirements. + - Data that doesn't require heightened security can be pushed onto the **public cloud**, while data which does can be hosted on the **private cloud**. +- ## Cloud Services + - What is **SaaS**? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T21:29:20.765Z + card-last-reviewed:: 2022-10-03T14:29:20.766Z + card-last-score:: 3 + - **Software as a Service (SaaS)** provides users with (essentially) ^^a **cloud application**, the platform on which it runs, & the platform's underlying infrastructure.^^ + - What is **PaaS**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-17T13:41:30.969Z + card-last-reviewed:: 2022-10-06T09:41:30.970Z + card-last-score:: 5 + - **Platform as a Service (PaaS)** provides users with ^^compute, networking, & storage resources.^^ +- +- What are the advantages of cloud computing? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:27:49.635Z + card-last-reviewed:: 2022-10-03T14:27:49.635Z + card-last-score:: 3 + - **Elasticity** - if your application becomes very popular, you can procure new resources within minutes. + - Reduced capital expenditure. + - Economies of scale. +- What are the disadvantages of cloud computing? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:43:27.437Z + card-last-reviewed:: 2022-10-03T11:43:27.437Z + card-last-score:: 5 + - Security / privacy + - Cost + - Migration issues \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Colouring Graphs; Eulerian & Hamiltonian Graphs/2022-11-23T09_22_44.495Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Colouring Graphs; Eulerian & Hamiltonian Graphs/2022-11-23T09_22_44.495Z.Desktop.md new file mode 100644 index 00000000..2da122ae --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Colouring Graphs; Eulerian & Hamiltonian Graphs/2022-11-23T09_22_44.495Z.Desktop.md @@ -0,0 +1,156 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Convex Polyhedra]] +- **Next Topic:** [[Trees]] +- **Relevant Slides:** ![MA284-Week10.pdf](../assets/MA284-Week10_1667999565189_0.pdf) +- +- # Vertex Colouring + - There are maps that can be coloured with a single colour, two colours, three colours, or four colours. + - For all maps, no matter how complicated, at most four colours is sufficient. +- # Colouring Graphs + - If we think of a map as a way of showing which regions share borders, then we can represent it as a **graph**, where: + - A vertex in the graph corresponds to a region in the map. + - There is an edge between two vertices in the graph if the corresponding regions share a border. + - Colouring regions of a map corresponds to colouring vertices of the graph. Since neighbouring regions in the map must have different colours, so too must adjacent vertices. + - More precisely: + - **Vertex Colouring:** An assignment of colours to the vertices of a graph. + - **Proper Colouring:** If the vertex colouring has the property that adjacent vertices are coloured differently, then the colouring is called **proper**. + - **Minimal Colouring:** A proper colouring that is done with the fewest possible number of colours. + - Lots of different proper colourings are possible. If the graph has $v$ vertices, then clearly at most $v$ colours are needed. However, usually, we need far fewer. + - ## Chromatic Numbers + - What is the **chromatic number** of a graph? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T10:50:36.778Z + card-last-reviewed:: 2022-11-14T15:50:36.779Z + card-last-score:: 5 + - The **chromatic number** of the graph, written $\chi(G)$ is the smallest number of colours needed to get a proper vertex colouring of a graph $G$. + - ### Example + - Determine the **chromatic number** of the graphs $C_2$, $C_3$, $C_4$, & $C_5$. + background-color:: green + - $$\chi(C_2) = 2$$ + - $$\chi(C_3) = 3$$ + - $$\chi(C_4) = 2$$ + - $$\chi(C_3) = 5$$ + - Determine the **chromatic number** of the $K_n$ & $K_{p,q}$ for any $n$, $p$, $q$. + background-color:: green + - $$\chi(K_4) = 4$$ + - $$\chi(K_n) = n$$ + - $$\chi(K_{3,3}) = 2$$ + - $$\chi(K_{p,q}) = 2$$ + - In general, calculating $\chi(G)$ is not easy, but there are some ideas that can help. For example, it is clearly true that if a graph has $v$ vertices, then + - $$1 \leq \chi(G) \leq v$$ + - ### Cliques + - If the graph happens to be **complete**, then $\chi(G) = v$. If it is **not** complete, then we can look at ***cliques*** in the graph. + - What is a **clique** of a graph? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:14:53.505Z + card-last-score:: 1 + - A **clique** is a subgraph of a graph, all of whose vertices are connected to each other. + - (Clique numbers will not be on the exam). + - What is the **clique number** of a graph? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:21:22.385Z + card-last-score:: 1 + - The **clique number** of a graph, $G$, is the number of vertices in the largest clique in $G$. + - **Lower Bound:** The chromatic number of a graph is *at least* its clique number. + - **Upper Bound:** $\chi(G) \leq \Delta(G) + 1$, where $\Delta(G)$ denotes the largest degree of any vertex in the graph $G$. +- # Algorithms for $\chi(G)$ + - In general, finding a proper colouring for a graph is hard. There are some algorithms that are efficient, but not optimal. We'll look at two: + - The **Greedy Algorithm**. + - The **Welsh-Powell Algorithm**. + - The **Greedy Algorithm** is simple & efficient, but the result can depend on the ordering of the vertices. + - The **Welsh-Powell Algorithm** is slightly more complicated, but can give better colourings. + - ## Greedy Algorithm #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:22:55.701Z + card-last-score:: 1 + - 1. Number all the vertices. Number your colours. + 2. Give a colour to vertex 1. + 3. Take the remaining vertices in order. Assign each one the lowest numbered colours that is different from the colours of its neighbours. + - ## Welsh-Powell Algorithm #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:51:29.529Z + card-last-score:: 1 + - 1. List all vertices in decreasing order of their degree (i.e., largest degree first). If two or more share the same degree, list them in any way you want. + 2. Colour the first listed vertex (with the first unused colour). + 3. Work down the list, giving that colour to all vertices **not** conencted to one previously coloured. + 4. Cross (verb.) coloured vertices of the list, and return to the start of the list. +- # Eulerian Paths & Circuits + - Recall that a **path** is a sequence of adjacent vertices in a graph. + - What is a **Eulerian Path**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:18:26.028Z + card-last-score:: 1 + - A **Eulerian Path** (also called an *Euler Path* and an *Eulerian trail*) in a graph is path which uses every edge exactly once. + - ![image.png](../assets/image_1668164848583_0.png) + - Recall that a **circuit** is a path that begins & ends at that same vertex, and no edge is repeated. + - What is an **Eulerian Circuit**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:21:29.522Z + card-last-score:: 1 + - An **Eulerian Circuit** (also called an *Eulerian Cycle*) is an *Eulerian path* that that starts & finishes on at the same vertex. + - If a graph has such a circuit, we say that it is *Eulerian*. + - It is possible to come up with a condition that guarantees that a graph has an Eulerian Path, and, additionally, one that ensures that ensures that it has an Eulerian Circuit. + - To begin with, we'll reason that the following graph could *not* have an Eulerian circuit, although it *does* have an Eulerian path. + - ![image.png](../assets/image_1668165195209_0.png) + - Suppose, first, that we have a graph that ==**does** have an Eulerian circuit.== Then, for every edge in the circuit that "exits" a vertex, there is another that "enters" that vertex. So, every vertex must have even degree. + - A graph has an **Eulerian Circuit** if and only if every vertex has even degree. + - Next, suppose that a graph==does **not** have an Eulerian circuit==, but does have an **Eulerian path**. Then, the degree at the "start" & "end" verticwes must be odd, and every other vertex has even degree. + - A graph has an **Eulerian Path** if and only if it has either **zero** or **two** vertices with odd degree. +- # Hamiltonian Paths & Cycles + - What is a **Hamiltonian Path**? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-24T08:06:13.770Z + card-last-reviewed:: 2022-11-21T13:06:13.770Z + card-last-score:: 5 + - A **Hamiltonian Path** is a graph that visits every vertex exactly once. + - What is a **Hamiltonian Cycle**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:23:21.600Z + card-last-score:: 1 + - A **Hamiltonian Cycle** is a cycle which visits the start / end vertex twice, and every other vertex exactly once. + - A graph that has a Hamiltonian Cycle is called a **Hamiltonian Graph**. + - Important examples of Hamiltonian Graphs include cycle graphs, complete graphs, & graphs of the platonic solids. + - In general, the problem of finding a Hamiltonian path or cycle in a large graph is hard - it is known to be NP-complete. However, there are two relatively simple *sufficient conditions* to testing if a graph is Hamiltonian: + - ## Ore's Theorem #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:50:30.834Z + card-last-score:: 1 + - A graph with $v$ vertices, where $v \geq 3$, is **Hamiltonian** if, for every pair of non-adjacent vertices, the sum of their degrees is $\geq v$. + - ## Dirac's Theorem #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:15:37.739Z + card-last-score:: 1 + - A simple graph with $v$ vertices, where $v \geq 3$, is **Hamiltonian** if every vertex has degree $\geq v / 2$. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Colouring Graphs; Eulerian & Hamiltonian Graphs/2022-11-23T12_15_36.857Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Colouring Graphs; Eulerian & Hamiltonian Graphs/2022-11-23T12_15_36.857Z.Desktop.md new file mode 100644 index 00000000..2da122ae --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Colouring Graphs; Eulerian & Hamiltonian Graphs/2022-11-23T12_15_36.857Z.Desktop.md @@ -0,0 +1,156 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Convex Polyhedra]] +- **Next Topic:** [[Trees]] +- **Relevant Slides:** ![MA284-Week10.pdf](../assets/MA284-Week10_1667999565189_0.pdf) +- +- # Vertex Colouring + - There are maps that can be coloured with a single colour, two colours, three colours, or four colours. + - For all maps, no matter how complicated, at most four colours is sufficient. +- # Colouring Graphs + - If we think of a map as a way of showing which regions share borders, then we can represent it as a **graph**, where: + - A vertex in the graph corresponds to a region in the map. + - There is an edge between two vertices in the graph if the corresponding regions share a border. + - Colouring regions of a map corresponds to colouring vertices of the graph. Since neighbouring regions in the map must have different colours, so too must adjacent vertices. + - More precisely: + - **Vertex Colouring:** An assignment of colours to the vertices of a graph. + - **Proper Colouring:** If the vertex colouring has the property that adjacent vertices are coloured differently, then the colouring is called **proper**. + - **Minimal Colouring:** A proper colouring that is done with the fewest possible number of colours. + - Lots of different proper colourings are possible. If the graph has $v$ vertices, then clearly at most $v$ colours are needed. However, usually, we need far fewer. + - ## Chromatic Numbers + - What is the **chromatic number** of a graph? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T10:50:36.778Z + card-last-reviewed:: 2022-11-14T15:50:36.779Z + card-last-score:: 5 + - The **chromatic number** of the graph, written $\chi(G)$ is the smallest number of colours needed to get a proper vertex colouring of a graph $G$. + - ### Example + - Determine the **chromatic number** of the graphs $C_2$, $C_3$, $C_4$, & $C_5$. + background-color:: green + - $$\chi(C_2) = 2$$ + - $$\chi(C_3) = 3$$ + - $$\chi(C_4) = 2$$ + - $$\chi(C_3) = 5$$ + - Determine the **chromatic number** of the $K_n$ & $K_{p,q}$ for any $n$, $p$, $q$. + background-color:: green + - $$\chi(K_4) = 4$$ + - $$\chi(K_n) = n$$ + - $$\chi(K_{3,3}) = 2$$ + - $$\chi(K_{p,q}) = 2$$ + - In general, calculating $\chi(G)$ is not easy, but there are some ideas that can help. For example, it is clearly true that if a graph has $v$ vertices, then + - $$1 \leq \chi(G) \leq v$$ + - ### Cliques + - If the graph happens to be **complete**, then $\chi(G) = v$. If it is **not** complete, then we can look at ***cliques*** in the graph. + - What is a **clique** of a graph? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:14:53.505Z + card-last-score:: 1 + - A **clique** is a subgraph of a graph, all of whose vertices are connected to each other. + - (Clique numbers will not be on the exam). + - What is the **clique number** of a graph? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:21:22.385Z + card-last-score:: 1 + - The **clique number** of a graph, $G$, is the number of vertices in the largest clique in $G$. + - **Lower Bound:** The chromatic number of a graph is *at least* its clique number. + - **Upper Bound:** $\chi(G) \leq \Delta(G) + 1$, where $\Delta(G)$ denotes the largest degree of any vertex in the graph $G$. +- # Algorithms for $\chi(G)$ + - In general, finding a proper colouring for a graph is hard. There are some algorithms that are efficient, but not optimal. We'll look at two: + - The **Greedy Algorithm**. + - The **Welsh-Powell Algorithm**. + - The **Greedy Algorithm** is simple & efficient, but the result can depend on the ordering of the vertices. + - The **Welsh-Powell Algorithm** is slightly more complicated, but can give better colourings. + - ## Greedy Algorithm #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:22:55.701Z + card-last-score:: 1 + - 1. Number all the vertices. Number your colours. + 2. Give a colour to vertex 1. + 3. Take the remaining vertices in order. Assign each one the lowest numbered colours that is different from the colours of its neighbours. + - ## Welsh-Powell Algorithm #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:51:29.529Z + card-last-score:: 1 + - 1. List all vertices in decreasing order of their degree (i.e., largest degree first). If two or more share the same degree, list them in any way you want. + 2. Colour the first listed vertex (with the first unused colour). + 3. Work down the list, giving that colour to all vertices **not** conencted to one previously coloured. + 4. Cross (verb.) coloured vertices of the list, and return to the start of the list. +- # Eulerian Paths & Circuits + - Recall that a **path** is a sequence of adjacent vertices in a graph. + - What is a **Eulerian Path**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:18:26.028Z + card-last-score:: 1 + - A **Eulerian Path** (also called an *Euler Path* and an *Eulerian trail*) in a graph is path which uses every edge exactly once. + - ![image.png](../assets/image_1668164848583_0.png) + - Recall that a **circuit** is a path that begins & ends at that same vertex, and no edge is repeated. + - What is an **Eulerian Circuit**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:21:29.522Z + card-last-score:: 1 + - An **Eulerian Circuit** (also called an *Eulerian Cycle*) is an *Eulerian path* that that starts & finishes on at the same vertex. + - If a graph has such a circuit, we say that it is *Eulerian*. + - It is possible to come up with a condition that guarantees that a graph has an Eulerian Path, and, additionally, one that ensures that ensures that it has an Eulerian Circuit. + - To begin with, we'll reason that the following graph could *not* have an Eulerian circuit, although it *does* have an Eulerian path. + - ![image.png](../assets/image_1668165195209_0.png) + - Suppose, first, that we have a graph that ==**does** have an Eulerian circuit.== Then, for every edge in the circuit that "exits" a vertex, there is another that "enters" that vertex. So, every vertex must have even degree. + - A graph has an **Eulerian Circuit** if and only if every vertex has even degree. + - Next, suppose that a graph==does **not** have an Eulerian circuit==, but does have an **Eulerian path**. Then, the degree at the "start" & "end" verticwes must be odd, and every other vertex has even degree. + - A graph has an **Eulerian Path** if and only if it has either **zero** or **two** vertices with odd degree. +- # Hamiltonian Paths & Cycles + - What is a **Hamiltonian Path**? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-24T08:06:13.770Z + card-last-reviewed:: 2022-11-21T13:06:13.770Z + card-last-score:: 5 + - A **Hamiltonian Path** is a graph that visits every vertex exactly once. + - What is a **Hamiltonian Cycle**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:23:21.600Z + card-last-score:: 1 + - A **Hamiltonian Cycle** is a cycle which visits the start / end vertex twice, and every other vertex exactly once. + - A graph that has a Hamiltonian Cycle is called a **Hamiltonian Graph**. + - Important examples of Hamiltonian Graphs include cycle graphs, complete graphs, & graphs of the platonic solids. + - In general, the problem of finding a Hamiltonian path or cycle in a large graph is hard - it is known to be NP-complete. However, there are two relatively simple *sufficient conditions* to testing if a graph is Hamiltonian: + - ## Ore's Theorem #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:50:30.834Z + card-last-score:: 1 + - A graph with $v$ vertices, where $v \geq 3$, is **Hamiltonian** if, for every pair of non-adjacent vertices, the sum of their degrees is $\geq v$. + - ## Dirac's Theorem #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:15:37.739Z + card-last-score:: 1 + - A simple graph with $v$ vertices, where $v \geq 3$, is **Hamiltonian** if every vertex has degree $\geq v / 2$. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Combinatorial Proofs/2022-10-07T18_07_00.013Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Combinatorial Proofs/2022-10-07T18_07_00.013Z.Desktop.md new file mode 100644 index 00000000..707979b9 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Combinatorial Proofs/2022-10-07T18_07_00.013Z.Desktop.md @@ -0,0 +1,87 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Binomial Coefficients]] +- **Next Topic:** null +- **Relevant Slides:** ![MA284-Week04.pdf](../assets/MA284-Week04_1664365603740_0.pdf) +- +- # Pascal's Triangle + - **Pascal's Identity:** A recurrence relation for $\binom{n}{k}$: + - $$\binom{n}{k} = \binom{n-1}{k-1} + \binom{n-1}{k}$$ + - In the previous topic, we "proved" that $\binom{n}{k} = \frac{n!}{(n-k)!k!}$ by counting $P(n,k)$ in two different ways. + - This is a classic example of a **Combinatorial Proof**, where we establish a formula by counting something in 2 different ways. + - ![image.png](../assets/image_1664366784504_0.png) + - Binomial coefficients have many important properties. Looking at their arrangement in Pascal's Triangle, we can spot some: + - (i) For all $n$, $\binom{n}{0} = \binom{n}{n} = 1$. + - (ii) $\displaystyle\sum^{n}_{i=0} \binom{n}{i}= 2^n$ + - (iii) $\binom{n}{k} = \binom{n-1}{k-1} + \binom{n-1}{k}$ (Pascal's Identity). + - (iv) $\binom{n}{k} = \binom{n}{n-k}$ + - +- # Algebraic & Combinatorial Proofs + - Proofs of identities involving **Binomial Coefficients** can be classified as: + - **Algebraic:** If they rely mainly on the formula for binomial coefficients. + - $$ + \binom{n}{k} = \frac{n!}{k!(n-k)!} + \newline + \therefore \binom{n}{k} = \frac{n!}{(n-k)!(n-(n-k))!} = \frac{n!}{(n-k)!k!} = \binom{n}{k} + $$ + - **Combinatorial:** If they involve counting a set in two different ways. + - Let $A$ be a set of size $n$. + - $\binom{n}{k} =$ number of subsets of $A$ of cardinality $k$, but for each such subset there is a one-to-one correspondence with a subset of size $n-k$. + - i.e., $\binom{n}{n-k} = \binom{n}{k}$, + - ## Algebraic Proof of Pascal's Triangle Recurrence Relation + - $$\binom{n}{k} = \frac{n!}{k!(n-k)!} \newline \newline$$ + - $$\binom{n-1}{k-1} + \binom{n-1}{k} = \frac{(n-1)!}{(k-1)!(n-k)!} + \frac{(n-1)!}{k!(n-k-1)!}$$ + - $$ = \frac{k(n-1)!}{k(k-1)!(n-k)!} + \frac{(n-1)!(n-k)}{k!(n-k-1)!(n-k)} $$ + - $$= \frac{k(n-1)!+(n-k)(n-1)!}{k!(n-k)!}$$ + - $$= \frac{(n-1)!(k+n-k)}{k!(n-k)!} = \frac{n!}{k!(n-k)!} = \binom{n}{k}$$ +- +- +- ## Example: + - Let $A$ be a set with $n$ elements. + - Then, the total number of subsets of $A$ can be counted as follows: + - Generic subset: An element is either in it or not + - For each of $n$ elements, there are 2 choices: in or not in. + - By Multiplicative principle, 2 \times 2 \times ... \times 2 such subsets [2^n = |P(n)|]. + - Number of subsets with: + - 0 +- +- +- +- # How Combinatorial Proofs Work + - ## Which are better: Algebraic or Combinatorial proofs? + - When we first study discrete mathematics, **algebraic** proofs may seem to be the easiest: they rely only using some standard formulae, and don't require any deeper insight. They are also more "familiar". + - However: + - Often, algebraic proofs are quite tricky. + - Usually, algebraic proofs give no insight as to why a fact is true. + - ## Example + - We wish to show that: + - $${\binom{n}{0}}^2 + {\binom{n}{1}}^2 + {\binom{n}{2}}^2 + ... + {\binom{n}{n}}^2 = \binom{2n}{n}$$ + - We note that $\binom{2n}{n}$ is the total number of subsets of size $n$ in a set with $2n$ elements. + - Let $A$ be a set with $2n$ elements, and label them $A = \{a_1, a_2, ..., a_n, a_{n+1}, ..., a_{2n}\}$. + - Any subset of $A$ with $n$ elements has $k$ elements from $\{a_1 a_2, ..., a_n\}$ and $n-k$ elements from t $\{a_{n+1}, ..., a_{2n}\}$ where $k$ ranges from $0$ to $n$. + - There are $\displaystyle \binom{n}{k} \cdot \binom{n}{n-k}$ ways of choosing these $n$ elements by the Multiplicative Principle. + - So the total number of subsets with $n$ elements is $\displaystyle\sum^n_{k=0} \binom{n}{k} \binom{n}{n-k}$ and noting that $\displaystyle \binom{n}{n-k} = \binom{n}{k}$ and the results follows. + - ## Example + - Using a combinatorial argument, or otherwise, prove that + - $$k\binom{n}{k} = n\binom{n-1}{k-1}$$ + - **Combinatorial Proof**: + - Suppose we have a panel of $n$ players and we need to choose a team of $k$ player with a distinguished player (e.g., the goalkeeper). + - We count how many ways we can do this. + - [A] Pick the team, then pick the goalie. + - By the Multiplicative Principle, we can pick a team of $k$ from $n$ in $\binom{n}{k}$ ways and have $k$ ways then of choosing a keeper from this. + - $$= k\binom{n}{k}$$ + - [B] Pick the goalie, then pick the remainder of the team. + - We have $n$ choices for the goalie. then choose $k-1$ from the $n-1$ remaining players. + - By the Multiplicative Principle we have $\displaystyle n\binom{n-1}{k-1}$ ways. + - Result follows. + - ## What is a "Combinatorial Proof" really? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:37:08.312Z + card-last-reviewed:: 2022-10-07T10:37:08.313Z + card-last-score:: 3 + - [1] These proofs involve finding two different ways to answer the same counting question. + - [2] Then, we explain why the answer to the problem posed one way is $A$. + - [3] Next, we explain why the answer to the problem posed the other way is $B$. + - [4] Since $A$ and $B$ are answers to the same question, we have shown that it must be that $A = B$. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Counting/2022-09-15T06_32_33.698Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Counting/2022-09-15T06_32_33.698Z.Desktop.md new file mode 100644 index 00000000..b168661c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Counting/2022-09-15T06_32_33.698Z.Desktop.md @@ -0,0 +1,39 @@ +- #[[MA284 - Discrete Mathematics]] +- No previous topic +- **Next topic:** [[Principle of Inclusion-Exclusion]] +- **Relevant Slides:** ![Week01.pdf](../assets/Week01_1662844828934_0.pdf) +- +- What is **Combinatorics**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-17T10:51:03.296Z + card-last-reviewed:: 2022-09-13T10:51:03.297Z + card-last-score:: 5 + - **Combinatorics** is the mathematics of *counting*. +- +- ## The Additive & Multiplicative Principles + - ### The Additive Principle + - What is the **Additive Principle**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-13T23:00:00.000Z + card-last-reviewed:: 2022-09-13T10:46:53.779Z + card-last-score:: 1 + - If an event $A$ can occur $m$ ways, and event $B$ can occur $n$ (disjoint) ways, then event "$A$ **or** $B$" can occur $m + n$ ways. + - ### The Multiplicative Principle + - What is the **Multiplicative Principle**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-16T11:37:21.246Z + card-last-reviewed:: 2022-09-12T11:37:21.246Z + card-last-score:: 5 + - If event $A$ can occur $m$ ways, and each possibility allows for event $B$ to occur in $n$ (disjoint) ways, then the event "$A$ **and** $B$" can occur in $m \times n$ ways. +- +- ## Counting with Sets + - What is a **set**? + - A **set** is a collection of things. + - The items in a set are called *elements*. + - A set is **unordered**. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Counting/2022-09-30T10_01_42.258Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Counting/2022-09-30T10_01_42.258Z.Desktop.md new file mode 100644 index 00000000..3d7116aa --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Counting/2022-09-30T10_01_42.258Z.Desktop.md @@ -0,0 +1,45 @@ +- #[[MA284 - Discrete Mathematics]] +- No previous topic +- **Next topic:** [[Principle of Inclusion-Exclusion]] +- **Relevant Slides:** ![Week01.pdf](../assets/Week01_1662844828934_0.pdf) +- +- What is **Combinatorics**? #card + card-last-interval:: 11.16 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-30T21:29:52.224Z + card-last-reviewed:: 2022-09-19T18:29:52.225Z + card-last-score:: 5 + - **Combinatorics** is the mathematics of *counting*. +- +- ## The Additive & Multiplicative Principles + - ### The Additive Principle + - What is the **Additive Principle**? #card + card-last-interval:: 9.84 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-29T13:43:04.372Z + card-last-reviewed:: 2022-09-19T17:43:04.373Z + card-last-score:: 5 + - If an event $A$ can occur $m$ ways, and event $B$ can occur $n$ (disjoint) ways, then event "$A$ **or** $B$" can occur $m + n$ ways. + - ### The Multiplicative Principle + - What is the **Multiplicative Principle**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:18:14.874Z + card-last-reviewed:: 2022-09-18T15:18:14.874Z + card-last-score:: 3 + - If event $A$ can occur $m$ ways, and each possibility allows for event $B$ to occur in $n$ (disjoint) ways, then the event "$A$ **and** $B$" can occur in $m \times n$ ways. +- +- ## Counting with Sets + - What is a **set**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-21T20:51:01.873Z + card-last-reviewed:: 2022-09-17T20:51:01.875Z + card-last-score:: 5 + - A **set** is a collection of things. + - The items in a set are called *elements*. + - A set is **unordered**. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/DIffie-Hellman Key Exchange/2022-11-11T12_04_45.318Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/DIffie-Hellman Key Exchange/2022-11-11T12_04_45.318Z.Desktop.md new file mode 100644 index 00000000..0a93c418 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/DIffie-Hellman Key Exchange/2022-11-11T12_04_45.318Z.Desktop.md @@ -0,0 +1,67 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[Social Engineering]] +- **Next Topic:** null +- **Relevant Slides:** ![ct255_07.pdf](../assets/ct255_07_1667826292487_0.pdf) +- +- # Groups, Rings, & Fields + - In mathematics, + - a **group** is a set equipped with a binary operation that is associative, has an identity element, and is such that every element has an inverse, e.g., $(\mathbb{Z}, +)$. + - a **ring** is a set equipped with two binary operations satisfying properties analogous to those of addition & multiplication of integers, e.g. $(\mathbb{Z}, +, *)$. + - a **field** is a set on which addition, subtraction, multiplication, & division are defined and behave as the corresponding operations on rational & real numbers do. +- +- # Diffie-Hellman Key Exchange + - What is the **Diffie-Hellman Key Exchange**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-10T11:39:05.685Z + card-last-reviewed:: 2022-11-09T12:39:05.686Z + card-last-score:: 3 + - **Diffie-Hellman** provides **secure key exchange** between two partners. + - The negotiated key is subsequently used for private key encryption / authentication. + - It uses the multiplicative group of integers modulo $n$ $(\mathbb{Z} / n \mathbb{Z})^x$. + - It is based on the difficulty of computing discrete logarithms over such groups, e.g.: + - $$6^3 \text{ mod } 17 = 216 \text{ mod } 17 =12 \text{ (easy) }$$ + - $$12 = 6 ^y \text{ mod } 17 ? \text{ hard }$$ + - The core equation for the key exchange is + - $$K = (A)^B \text{ mod } q$$ + - ## Diffie-Hellman: Global Public Elements + - Select a prime number $q$ and positive and a positive integer $a$, where $a < q$ and $a$ is a **primitive root** of $q$. + - What is a **primitive root**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:41:19.113Z + card-last-score:: 1 + - $a$ is a **primitive root** of $q$, if numbers $a \text{ mod } q, a^2 \text{ mod } q, \cdots , a^{q-1} \text{ mod } q$ are distinct integer values between $1$ and $(q-1)$ in some permutation, i.e., elements of $(\mathbb{Z} / q \mathbb{Z})^x$. + - **Example:** $a = 3$ is a primitive root of $(\mathbb{Z} / 5\mathbb{Z})^x$, $a=4$ is not: + background-color:: green + - ## Generation of Secret-Key + - Both users share a public prime number $q$ and primitive root $a$. + - User A: + - 1. Select secret number $XA$ with $XA < q$. + 2. Calculate public value $YA = a^{XA} \text{ mod } q$ (difficult to reverse). + 3. $YA$ is sent to User B. + - User B: + - 1. Select secret number $XB$ with $XB < q$. + 2. Calculate public value $YB = a^{XB} \text{ mod } q$ (difficult to reverse). + 3. $YB$ is sent to User A. + - User A: + - User A owns $XA$ and receives $YB$. + - Generate secret key: $K = (YB)^{XA} \text{ mod } q$. + - User B: + - User B owns $XB$ and receives $YA$. + - Generate secret key: $K = (YA)^{XB} \text{ mod } q$. + - Both keys are identical. + - ## Diffie-Hellman in Practice + - The algorithm is used in tandem with a variety of secure network protocols. + - Provision of secure end-to-end connection. + - No endpoint authentication - you can't validate who you are talking to. + - Modulus $p$ typically has a minimum length of 1024 bits. + - ## DH & Man-in-the-Middle (MitM) Attacks + - ![image.png](../assets/image_1667828493859_0.png) + - Mallory is a MitM attacker and performs message interception & message fabrication. + - Mallory establishes two individual (secure) connections with Alice & Bob. + - Neither Alice nor Bob are aware of Mallory's existence (as there is no authentication). + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Database System Introduction/2022-10-10T11_59_52.373Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Database System Introduction/2022-10-10T11_59_52.373Z.Desktop.md new file mode 100644 index 00000000..3a43e840 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Database System Introduction/2022-10-10T11_59_52.373Z.Desktop.md @@ -0,0 +1,108 @@ +- #[[CT230 - Database Systems I]] +- No previous topic +- **Next Topic:** [[The Relational Model]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662845512365_0.pdf) +- +- What is a **database**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:12:15.766Z + card-last-reviewed:: 2022-09-30T12:12:15.767Z + card-last-score:: 3 + - A **database** is ^^a collection of related data.^^ +- +- What is the **Database Approach**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T10:35:42.411Z + card-last-reviewed:: 2022-10-07T10:35:42.412Z + card-last-score:: 3 + - A **single repository** of data (which may be distributed) is maintained that is **defined once** and then accessed by various users via a **DBMS**. +- ## Database Management Systems + - What is a **DBMS**? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:42:02.196Z + card-last-reviewed:: 2022-10-03T11:42:02.196Z + card-last-score:: 3 + - The **DataBase Management System (DBMS)** is a collection of programs that facilitates the process of ^^defining, constructing, & manipulating^^ databases for various applications. + - ### DBMS Capabilities #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T20:27:57.126Z + card-last-reviewed:: 2022-10-03T14:27:57.127Z + card-last-score:: 3 + - 1. **Define** database (DDL) + 2. **Manipulate** database (SQL) + 3. **Control** redundancy + 4. **Restrict** unauthorised access + 5. **Enforce** integrity constraints + 6. Provide multiple user interfaces / **views** + 7. Provide **concurrent access** + 8. Provide mechanism for **recovery** + 9. Provide **back-up** + 10. Allows representation of complex relationships between data (For efficiency & optimisation reasons) + - + - ### Disadvantages of DBMS approach #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T18:17:45.706Z + card-last-reviewed:: 2022-10-01T13:17:45.707Z + card-last-score:: 5 + - Strict schema & multiple tables / relations + - Complexity + - Size + - Cost of DBMS + - Additional hardware costs + - Cost of conversion + - Performance + - Higher impact of failure + - ### DBMS Users #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T10:38:38.838Z + card-last-reviewed:: 2022-10-07T10:38:38.839Z + card-last-score:: 3 + - **Administrators (DBA)** - accounts, passwords, privileges. Requiring constant vigilance + - **System Analysts** - "What's required to solve a problem? What does the business need?" + - **Designers** - ER diagrams, mapping ER diagrams to tables + - **Application Programmers** - creating tables, adding data, creating queries + - **End users** +- +- What is **Database Abstraction**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-10T19:18:04.573Z + card-last-reviewed:: 2022-10-01T13:18:04.573Z + card-last-score:: 3 + - **Database Abstraction** refers to the hiding of the details of data storage that are not needed by most database users. + - The aim is to separate user's views of the database from the way that it is "physically" represented. + - 3 ways in which data can be described: + - **External:** user's view + - **Conceptual:** logical structure as seen by DBA + - **Internal:** DBMS and OS view of data +- What is the database **schema**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-09T18:10:33.547Z + card-last-reviewed:: 2022-09-30T12:10:33.548Z + card-last-score:: 3 + - The database **schema** is the ^^logical structure of the database.^^ +- What is the database **instance**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:29:01.333Z + card-last-reviewed:: 2022-10-03T14:29:01.333Z + card-last-score:: 5 + - The database **instance** is ^^the actual content of the database at some point in time.^^ +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Database System Introduction/2022-10-20T09_05_57.932Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Database System Introduction/2022-10-20T09_05_57.932Z.Desktop.md new file mode 100644 index 00000000..2d100cd1 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Database System Introduction/2022-10-20T09_05_57.932Z.Desktop.md @@ -0,0 +1,108 @@ +- #[[CT230 - Database Systems I]] +- No previous topic +- **Next Topic:** [[The Relational Model]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662845512365_0.pdf) +- +- What is a **database**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:12:15.766Z + card-last-reviewed:: 2022-09-30T12:12:15.767Z + card-last-score:: 3 + - A **database** is ^^a collection of related data.^^ +- +- What is the **Database Approach**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T10:35:42.411Z + card-last-reviewed:: 2022-10-07T10:35:42.412Z + card-last-score:: 3 + - A **single repository** of data (which may be distributed) is maintained that is **defined once** and then accessed by various users via a **DBMS**. +- ## Database Management Systems + - What is a **DBMS**? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:42:02.196Z + card-last-reviewed:: 2022-10-03T11:42:02.196Z + card-last-score:: 3 + - The **DataBase Management System (DBMS)** is a collection of programs that facilitates the process of ^^defining, constructing, & manipulating^^ databases for various applications. + - ### DBMS Capabilities #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T20:27:57.126Z + card-last-reviewed:: 2022-10-03T14:27:57.127Z + card-last-score:: 3 + - 1. **Define** database (DDL) + 2. **Manipulate** database (SQL) + 3. **Control** redundancy + 4. **Restrict** unauthorised access + 5. **Enforce** integrity constraints + 6. Provide multiple user interfaces / **views** + 7. Provide **concurrent access** + 8. Provide mechanism for **recovery** + 9. Provide **back-up** + 10. Allows representation of complex relationships between data (For efficiency & optimisation reasons) + - + - ### Disadvantages of DBMS approach #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T18:17:45.706Z + card-last-reviewed:: 2022-10-01T13:17:45.707Z + card-last-score:: 5 + - Strict schema & multiple tables / relations + - Complexity + - Size + - Cost of DBMS + - Additional hardware costs + - Cost of conversion + - Performance + - Higher impact of failure + - ### DBMS Users #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T10:38:38.838Z + card-last-reviewed:: 2022-10-07T10:38:38.839Z + card-last-score:: 3 + - **Administrators (DBA)** - accounts, passwords, privileges. Requiring constant vigilance + - **System Analysts** - "What's required to solve a problem? What does the business need?" + - **Designers** - ER diagrams, mapping ER diagrams to tables + - **Application Programmers** - creating tables, adding data, creating queries + - **End users** +- +- What is **Database Abstraction**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-10T19:18:04.573Z + card-last-reviewed:: 2022-10-01T13:18:04.573Z + card-last-score:: 3 + - **Database Abstraction** refers to the hiding of the details of data storage that are not needed by most database users. + - The aim is to separate user's views of the database from the way that it is "physically" represented. + - 3 ways in which data can be described: + - **External:** user's view + - **Conceptual:** logical structure as seen by DBA + - **Internal:** DBMS and OS view of data +- What is the database **schema**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-02T21:44:54.610Z + card-last-reviewed:: 2022-10-10T11:44:54.610Z + card-last-score:: 5 + - The database **schema** is the ^^logical structure of the database.^^ +- What is the database **instance**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:29:01.333Z + card-last-reviewed:: 2022-10-03T14:29:01.333Z + card-last-score:: 5 + - The database **instance** is ^^the actual content of the database at some point in time.^^ +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Database System Introduction/2022-11-09T13_03_58.102Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Database System Introduction/2022-11-09T13_03_58.102Z.Desktop.md new file mode 100644 index 00000000..2ba9f10c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Database System Introduction/2022-11-09T13_03_58.102Z.Desktop.md @@ -0,0 +1,108 @@ +- #[[CT230 - Database Systems I]] +- No previous topic +- **Next Topic:** [[The Relational Model]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662845512365_0.pdf) +- +- What is a **database**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-12T18:33:52.240Z + card-last-reviewed:: 2022-10-20T08:33:52.241Z + card-last-score:: 3 + - A **database** is ^^a collection of related data.^^ +- +- What is the **Database Approach**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T10:35:42.411Z + card-last-reviewed:: 2022-10-07T10:35:42.412Z + card-last-score:: 3 + - A **single repository** of data (which may be distributed) is maintained that is **defined once** and then accessed by various users via a **DBMS**. +- ## Database Management Systems + - What is a **DBMS**? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:42:02.196Z + card-last-reviewed:: 2022-10-03T11:42:02.196Z + card-last-score:: 3 + - The **DataBase Management System (DBMS)** is a collection of programs that facilitates the process of ^^defining, constructing, & manipulating^^ databases for various applications. + - ### DBMS Capabilities #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T20:27:57.126Z + card-last-reviewed:: 2022-10-03T14:27:57.127Z + card-last-score:: 3 + - 1. **Define** database (DDL) + 2. **Manipulate** database (SQL) + 3. **Control** redundancy + 4. **Restrict** unauthorised access + 5. **Enforce** integrity constraints + 6. Provide multiple user interfaces / **views** + 7. Provide **concurrent access** + 8. Provide mechanism for **recovery** + 9. Provide **back-up** + 10. Allows representation of complex relationships between data (For efficiency & optimisation reasons) + - + - ### Disadvantages of DBMS approach #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T18:17:45.706Z + card-last-reviewed:: 2022-10-01T13:17:45.707Z + card-last-score:: 5 + - Strict schema & multiple tables / relations + - Complexity + - Size + - Cost of DBMS + - Additional hardware costs + - Cost of conversion + - Performance + - Higher impact of failure + - ### DBMS Users #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T10:38:38.838Z + card-last-reviewed:: 2022-10-07T10:38:38.839Z + card-last-score:: 3 + - **Administrators (DBA)** - accounts, passwords, privileges. Requiring constant vigilance + - **System Analysts** - "What's required to solve a problem? What does the business need?" + - **Designers** - ER diagrams, mapping ER diagrams to tables + - **Application Programmers** - creating tables, adding data, creating queries + - **End users** +- +- What is **Database Abstraction**? #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-11-08T08:37:10.629Z + card-last-reviewed:: 2022-10-20T08:37:10.629Z + card-last-score:: 3 + - **Database Abstraction** refers to the hiding of the details of data storage that are not needed by most database users. + - The aim is to separate user's views of the database from the way that it is "physically" represented. + - 3 ways in which data can be described: + - **External:** user's view + - **Conceptual:** logical structure as seen by DBA + - **Internal:** DBMS and OS view of data +- What is the database **schema**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-02T21:44:54.610Z + card-last-reviewed:: 2022-10-10T11:44:54.610Z + card-last-score:: 5 + - The database **schema** is the ^^logical structure of the database.^^ +- What is the database **instance**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:29:01.333Z + card-last-reviewed:: 2022-10-03T14:29:01.333Z + card-last-score:: 5 + - The database **instance** is ^^the actual content of the database at some point in time.^^ +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Definitions & Planar Graphs/2022-11-11T12_04_45.324Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Definitions & Planar Graphs/2022-11-11T12_04_45.324Z.Desktop.md new file mode 100644 index 00000000..c3f69bda --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Definitions & Planar Graphs/2022-11-11T12_04_45.324Z.Desktop.md @@ -0,0 +1,128 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Introduction to Graph Theory]] +- **Next Topic:** [[Convex Polyhedra]] +- **Relevant Slides:** ![MA284-Week08.pdf](../assets/MA284-Week08_1666785726176_0.pdf) +- +- # Definitions + - What is a **walk**? #card + - A **walk** is a sequence of vertices such that consecutive vertices are adjacent. + - What is a **trail**? #card + - A **trail** is a walk in which no edge is repeated. + - What is a **path**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-08T00:00:00.000Z + card-last-reviewed:: 2022-11-07T08:29:15.009Z + card-last-score:: 1 + - A **path** is a trail in which no vertex is repeated, except possibly the first & last. + - The path on $n$ vertices is denoted $P_n$. + - ## Example + - + {{renderer :mermaid_uiukfrr}} + - ```mermaid + flowchart LR + B((B)) --- A((A)) + B --- C((C)) + C --- E((E)) + E --- D((D)) + B --- E --- A + + ``` + - $(a,b,c,e,d)$ is a **walk**. + - So too is $(a,b,e,a,b,c)$ (not a trail or a path). + - + - What is the **length** of a path? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-08T00:00:00.000Z + card-last-reviewed:: 2022-11-07T08:29:37.150Z + card-last-score:: 1 + - The **length** of a path is the number of edges in the sequence. + - ## Cycles & Circuits + - What is a **cycle**? #card + - A **cycle** is a path that begins & ends at the same vertex, but no other vertex is repeated. + - A cycle on $n$ vertices is denoted $C_n$. + - What is a **circuit**? #card + - A **circuit** is a path that begins & ends at the same vertex, and no edge is repeated. + - What does it mean if a graph is **connected**? #card + - A graph is **connected** if there is a path between every pair of vertices. + - What is the **degree** of a vertex? #card + - The **degree** of a vertex is the number of edges emanating from it. + - If $v$ is a vertex, we denote its degree as $d(v)$. + - ## Handshaking Lemma + - If we know the degree of every vertex in the graph, then we know the number of edges. This is the **Handshaking Lemma**. + - What is the **Handshaking Lemma**? #card + - In any graph, the sum of the degrees of vertices in the graph, is always twice the number of edges. + - $$\sum_{v \in V} d(v) = 2|E|$$ +- # Types of Graphs + - What is a **Complete** Graph? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-08T00:00:00.000Z + card-last-reviewed:: 2022-11-07T08:29:22.503Z + card-last-score:: 1 + - A graph is **complete** if every pair of vertices is adjacent. + - This family of graphs is very important. + - Complete graphs are denoted $K_n$ - the complete graph on $n$ vertices. + - What is a **Bipartite Graph**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-08T00:00:00.000Z + card-last-reviewed:: 2022-11-07T08:30:00.319Z + card-last-score:: 1 + - A graph is **bipartite** if it is possible to partition the vertex set, $V$, into two disjoint sets, $V_1$ & $V_2$, such that there are no edges between any two vertices in the same set. + - What is a **Complete Bipartite** graph? #card + - If a bipartite graph is such that *every* vertex in $V_1$ is connected to *every* vertex in $V_2$ (and vice versa), the graph is a **complete bipartite graph**. + - If $|V_1| = m$ and $|V_2| = n$, we denote it $K_{m,n}$. + - What is a **subgraph**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-08T00:00:00.000Z + card-last-reviewed:: 2022-11-07T08:30:55.795Z + card-last-score:: 1 + - We say that $G_1 = (V_1, E_1)$ is a **subgraph** of $G_2 = (V_2, E_2)$ provided $V_1 \subset V_2$ and $E_1 \subset E_2$. + - What is an **induced subgraph**? #card + - We say that $G_1(V_1, E_1)$ is an **induced subgraph** of $G_2 = (V_2, E_2)$ provided that $V_1 \subset V_2$ and $E_2$ contains **all** edges of $E_1$ which join edges in $V_1$. +- +- # Planar Graphs + - What is a **planar graph**? #card + - If you can sketch a graph such that none of its edges cross, it is a **planar graph**. + - What is a **face**? #card + - When a planar graph is drawn without edges crossing, the edges & vertices of the graph divide the plane into regions called **faces**. + - The number of faces does not change no matter how you draw the graph, as long as no edges cross. + - + - ## Example + - The graph $K_{2,3}$ is **planar**. + background-color:: red + - ![image.png](../assets/image_1666951300835_0.png) + - [[draws/2022-10-28-11-04-05.excalidraw]] + - The planar representation $K_{2,3}$ has **3 faces** (the "outside" region counts as a face). + - Give a planar representation of $K_4$, and count how many faces it has. + background-color:: red + - [[draws/2022-10-28-11-22-12.excalidraw]] + - Why "face"? + background-color:: red + - [[draws/2022-10-28-11-25-20.excalidraw]] +- # Euler's Formula for Planar Graphs #card + - For any ^^(connected) planar graph^^ with $v$ vertices, $e$ edges, and $f$ faces, we have: + - $$v - e + f = 2$$ + - ## Outline of Proof + - Start with $P_2$. + - Here, $v=2$, $e = 1$, $f=1$. So $v-e+f=2$. + - Any other graph can be made by adding vertices & edges (or just edges) to $P_2$. + - Suppose $v-e+f=2$ for a graph. + - If we add a new edge *with* a new vertex, then no new face is created, so $v-e+f$ does not change. + - If we add a new edge *without* a new vertex, then $f$ will increase by 1, so again, $v-e+f$ does not change. + - ## Example + - Is it possible for a connected planar graph to have 5 vertices, 7 edges, and 3 faces? Explain. + background-color:: red + - No. Euler's formula tells us that $v-e+f=2$. + - Here, $v=5$, $e=7$, $f=3$, so $v-e+f=1$. + - Any such graph is **not planar**. +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Definitions & Planar Graphs/2022-11-23T09_22_44.496Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Definitions & Planar Graphs/2022-11-23T09_22_44.496Z.Desktop.md new file mode 100644 index 00000000..667a70dc --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Definitions & Planar Graphs/2022-11-23T09_22_44.496Z.Desktop.md @@ -0,0 +1,200 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Introduction to Graph Theory]] +- **Next Topic:** [[Convex Polyhedra]] +- **Relevant Slides:** ![MA284-Week08.pdf](../assets/MA284-Week08_1666785726176_0.pdf) +- +- # Definitions + - What is a **walk**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:23:27.284Z + card-last-score:: 1 + - A **walk** is a sequence of vertices such that consecutive vertices are adjacent. + - What is a **trail**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:14:59.935Z + card-last-score:: 1 + - A **trail** is a walk in which no edge is repeated. + - What is a **path**? #card + card-last-interval:: 0.9 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T17:22:40.523Z + card-last-reviewed:: 2022-11-14T20:22:40.524Z + card-last-score:: 3 + - A **path** is a trail in which no vertex is repeated, except possibly the first & last. + - The path on $n$ vertices is denoted $P_n$. + - ## Example + - + {{renderer :mermaid_uiukfrr}} + - ```mermaid + flowchart LR + B((B)) --- A((A)) + B --- C((C)) + C --- E((E)) + E --- D((D)) + B --- E --- A + + ``` + - $(a,b,c,e,d)$ is a **walk**. + - So too is $(a,b,e,a,b,c)$ (not a trail or a path). + - + - What is the **length** of a path? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:22:48.413Z + card-last-score:: 1 + - The **length** of a path is the number of edges in the sequence. + - ## Cycles & Circuits + - What is a **cycle**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:50:16.908Z + card-last-score:: 1 + - A **cycle** is a path that begins & ends at the same vertex, but no other vertex is repeated. + - A cycle on $n$ vertices is denoted $C_n$. + - What is a **circuit**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:05:28.290Z + card-last-score:: 1 + - A **circuit** is a path that begins & ends at the same vertex, and no edge is repeated. + - What does it mean if a graph is **connected**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T11:16:09.571Z + card-last-reviewed:: 2022-11-14T16:16:09.572Z + card-last-score:: 5 + - A graph is **connected** if there is a path between every pair of vertices. + - What is the **degree** of a vertex? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-25T13:10:12.122Z + card-last-reviewed:: 2022-11-21T13:10:12.123Z + card-last-score:: 5 + - The **degree** of a vertex is the number of edges emanating from it. + - If $v$ is a vertex, we denote its degree as $d(v)$. + - ## Handshaking Lemma + - If we know the degree of every vertex in the graph, then we know the number of edges. This is the **Handshaking Lemma**. + - What is the **Handshaking Lemma**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:54:11.744Z + card-last-score:: 1 + - In any graph, the sum of the degrees of vertices in the graph, is always twice the number of edges. + - $$\sum_{v \in V} d(v) = 2|E|$$ +- # Types of Graphs + - What is a **Complete** Graph? #card + card-last-interval:: 0.9 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T17:23:00.989Z + card-last-reviewed:: 2022-11-14T20:23:00.990Z + card-last-score:: 3 + - A graph is **complete** if every pair of vertices is adjacent. + - This family of graphs is very important. + - Complete graphs are denoted $K_n$ - the complete graph on $n$ vertices. + - What is a **Bipartite Graph**? #card + card-last-interval:: 8.35 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-29T21:09:36.899Z + card-last-reviewed:: 2022-11-21T13:09:36.899Z + card-last-score:: 5 + - A graph is **bipartite** if it is possible to partition the vertex set, $V$, into two disjoint sets, $V_1$ & $V_2$, such that there are no edges between any two vertices in the same set. + - What is a **Complete Bipartite** graph? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:51:45.394Z + card-last-score:: 1 + - If a bipartite graph is such that *every* vertex in $V_1$ is connected to *every* vertex in $V_2$ (and vice versa), the graph is a **complete bipartite graph**. + - If $|V_1| = m$ and $|V_2| = n$, we denote it $K_{m,n}$. + - What is a **subgraph**? #card + card-last-interval:: 3.05 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T21:23:07.436Z + card-last-reviewed:: 2022-11-14T20:23:07.436Z + card-last-score:: 5 + - We say that $G_1 = (V_1, E_1)$ is a **subgraph** of $G_2 = (V_2, E_2)$ provided $V_1 \subset V_2$ and $E_1 \subset E_2$. + - What is an **induced subgraph**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:49:58.981Z + card-last-score:: 1 + - We say that $G_1(V_1, E_1)$ is an **induced subgraph** of $G_2 = (V_2, E_2)$ provided that $V_1 \subset V_2$ and $E_2$ contains **all** edges of $E_1$ which join edges in $V_1$. +- +- # Planar Graphs + - What is a **planar graph**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:19:45.615Z + card-last-score:: 1 + - If you can sketch a graph such that none of its edges cross, it is a **planar graph**. + - What is a **face**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T15:22:52.013Z + card-last-reviewed:: 2022-11-14T16:22:52.013Z + card-last-score:: 3 + - When a planar graph is drawn without edges crossing, the edges & vertices of the graph divide the plane into regions called **faces**. + - The number of faces does not change no matter how you draw the graph, as long as no edges cross. + - + - ## Example + - The graph $K_{2,3}$ is **planar**. + background-color:: red + - ![image.png](../assets/image_1666951300835_0.png) + - [[draws/2022-10-28-11-04-05.excalidraw]] + - The planar representation $K_{2,3}$ has **3 faces** (the "outside" region counts as a face). + - Give a planar representation of $K_4$, and count how many faces it has. + background-color:: red + - [[draws/2022-10-28-11-22-12.excalidraw]] + - Why "face"? + background-color:: red + - [[draws/2022-10-28-11-25-20.excalidraw]] +- # Euler's Formula for Planar Graphs #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:18:07.821Z + card-last-score:: 1 + - For any ^^(connected) planar graph^^ with $v$ vertices, $e$ edges, and $f$ faces, we have: + - $$v - e + f = 2$$ + - ## Outline of Proof + - Start with $P_2$. + - Here, $v=2$, $e = 1$, $f=1$. So $v-e+f=2$. + - Any other graph can be made by adding vertices & edges (or just edges) to $P_2$. + - Suppose $v-e+f=2$ for a graph. + - If we add a new edge *with* a new vertex, then no new face is created, so $v-e+f$ does not change. + - If we add a new edge *without* a new vertex, then $f$ will increase by 1, so again, $v-e+f$ does not change. + - ## Example + - Is it possible for a connected planar graph to have 5 vertices, 7 edges, and 3 faces? Explain. + background-color:: red + - No. Euler's formula tells us that $v-e+f=2$. + - Here, $v=5$, $e=7$, $f=3$, so $v-e+f=1$. + - Any such graph is **not planar**. +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Definitions & Planar Graphs/2022-11-23T12_15_36.859Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Definitions & Planar Graphs/2022-11-23T12_15_36.859Z.Desktop.md new file mode 100644 index 00000000..667a70dc --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Definitions & Planar Graphs/2022-11-23T12_15_36.859Z.Desktop.md @@ -0,0 +1,200 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Introduction to Graph Theory]] +- **Next Topic:** [[Convex Polyhedra]] +- **Relevant Slides:** ![MA284-Week08.pdf](../assets/MA284-Week08_1666785726176_0.pdf) +- +- # Definitions + - What is a **walk**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:23:27.284Z + card-last-score:: 1 + - A **walk** is a sequence of vertices such that consecutive vertices are adjacent. + - What is a **trail**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:14:59.935Z + card-last-score:: 1 + - A **trail** is a walk in which no edge is repeated. + - What is a **path**? #card + card-last-interval:: 0.9 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T17:22:40.523Z + card-last-reviewed:: 2022-11-14T20:22:40.524Z + card-last-score:: 3 + - A **path** is a trail in which no vertex is repeated, except possibly the first & last. + - The path on $n$ vertices is denoted $P_n$. + - ## Example + - + {{renderer :mermaid_uiukfrr}} + - ```mermaid + flowchart LR + B((B)) --- A((A)) + B --- C((C)) + C --- E((E)) + E --- D((D)) + B --- E --- A + + ``` + - $(a,b,c,e,d)$ is a **walk**. + - So too is $(a,b,e,a,b,c)$ (not a trail or a path). + - + - What is the **length** of a path? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:22:48.413Z + card-last-score:: 1 + - The **length** of a path is the number of edges in the sequence. + - ## Cycles & Circuits + - What is a **cycle**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:50:16.908Z + card-last-score:: 1 + - A **cycle** is a path that begins & ends at the same vertex, but no other vertex is repeated. + - A cycle on $n$ vertices is denoted $C_n$. + - What is a **circuit**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:05:28.290Z + card-last-score:: 1 + - A **circuit** is a path that begins & ends at the same vertex, and no edge is repeated. + - What does it mean if a graph is **connected**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T11:16:09.571Z + card-last-reviewed:: 2022-11-14T16:16:09.572Z + card-last-score:: 5 + - A graph is **connected** if there is a path between every pair of vertices. + - What is the **degree** of a vertex? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-25T13:10:12.122Z + card-last-reviewed:: 2022-11-21T13:10:12.123Z + card-last-score:: 5 + - The **degree** of a vertex is the number of edges emanating from it. + - If $v$ is a vertex, we denote its degree as $d(v)$. + - ## Handshaking Lemma + - If we know the degree of every vertex in the graph, then we know the number of edges. This is the **Handshaking Lemma**. + - What is the **Handshaking Lemma**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:54:11.744Z + card-last-score:: 1 + - In any graph, the sum of the degrees of vertices in the graph, is always twice the number of edges. + - $$\sum_{v \in V} d(v) = 2|E|$$ +- # Types of Graphs + - What is a **Complete** Graph? #card + card-last-interval:: 0.9 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T17:23:00.989Z + card-last-reviewed:: 2022-11-14T20:23:00.990Z + card-last-score:: 3 + - A graph is **complete** if every pair of vertices is adjacent. + - This family of graphs is very important. + - Complete graphs are denoted $K_n$ - the complete graph on $n$ vertices. + - What is a **Bipartite Graph**? #card + card-last-interval:: 8.35 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-29T21:09:36.899Z + card-last-reviewed:: 2022-11-21T13:09:36.899Z + card-last-score:: 5 + - A graph is **bipartite** if it is possible to partition the vertex set, $V$, into two disjoint sets, $V_1$ & $V_2$, such that there are no edges between any two vertices in the same set. + - What is a **Complete Bipartite** graph? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:51:45.394Z + card-last-score:: 1 + - If a bipartite graph is such that *every* vertex in $V_1$ is connected to *every* vertex in $V_2$ (and vice versa), the graph is a **complete bipartite graph**. + - If $|V_1| = m$ and $|V_2| = n$, we denote it $K_{m,n}$. + - What is a **subgraph**? #card + card-last-interval:: 3.05 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T21:23:07.436Z + card-last-reviewed:: 2022-11-14T20:23:07.436Z + card-last-score:: 5 + - We say that $G_1 = (V_1, E_1)$ is a **subgraph** of $G_2 = (V_2, E_2)$ provided $V_1 \subset V_2$ and $E_1 \subset E_2$. + - What is an **induced subgraph**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:49:58.981Z + card-last-score:: 1 + - We say that $G_1(V_1, E_1)$ is an **induced subgraph** of $G_2 = (V_2, E_2)$ provided that $V_1 \subset V_2$ and $E_2$ contains **all** edges of $E_1$ which join edges in $V_1$. +- +- # Planar Graphs + - What is a **planar graph**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:19:45.615Z + card-last-score:: 1 + - If you can sketch a graph such that none of its edges cross, it is a **planar graph**. + - What is a **face**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T15:22:52.013Z + card-last-reviewed:: 2022-11-14T16:22:52.013Z + card-last-score:: 3 + - When a planar graph is drawn without edges crossing, the edges & vertices of the graph divide the plane into regions called **faces**. + - The number of faces does not change no matter how you draw the graph, as long as no edges cross. + - + - ## Example + - The graph $K_{2,3}$ is **planar**. + background-color:: red + - ![image.png](../assets/image_1666951300835_0.png) + - [[draws/2022-10-28-11-04-05.excalidraw]] + - The planar representation $K_{2,3}$ has **3 faces** (the "outside" region counts as a face). + - Give a planar representation of $K_4$, and count how many faces it has. + background-color:: red + - [[draws/2022-10-28-11-22-12.excalidraw]] + - Why "face"? + background-color:: red + - [[draws/2022-10-28-11-25-20.excalidraw]] +- # Euler's Formula for Planar Graphs #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:18:07.821Z + card-last-score:: 1 + - For any ^^(connected) planar graph^^ with $v$ vertices, $e$ edges, and $f$ faces, we have: + - $$v - e + f = 2$$ + - ## Outline of Proof + - Start with $P_2$. + - Here, $v=2$, $e = 1$, $f=1$. So $v-e+f=2$. + - Any other graph can be made by adding vertices & edges (or just edges) to $P_2$. + - Suppose $v-e+f=2$ for a graph. + - If we add a new edge *with* a new vertex, then no new face is created, so $v-e+f$ does not change. + - If we add a new edge *without* a new vertex, then $f$ will increase by 1, so again, $v-e+f$ does not change. + - ## Example + - Is it possible for a connected planar graph to have 5 vertices, 7 edges, and 3 faces? Explain. + background-color:: red + - No. Euler's formula tells us that $v-e+f=2$. + - Here, $v=5$, $e=7$, $f=3$, so $v-e+f=1$. + - Any such graph is **not planar**. +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Describing Data in R/2022-09-30T10_01_42.259Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Describing Data in R/2022-09-30T10_01_42.259Z.Desktop.md new file mode 100644 index 00000000..3f7e220b --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Describing Data in R/2022-09-30T10_01_42.259Z.Desktop.md @@ -0,0 +1,24 @@ +- #[[ST2001 Labs]] +- **Previous Topic:** [[Using R as a Calculator]] +- **Next Topic:** null +- +- Most of our computation in R will be using data in table form, with rows & columns, which are often stored as a `data.frame` object. + - The rows usually represent different *observations*, (e.g., humans, cars, etc.) and the columns represent different *variables* (features of the observation), (e.g., height, weight, etc.). +- +- What does `glimpse()` do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T17:43:30.690Z + card-last-score:: 1 + - The `glimpse()` function gives us an overview of the dataset on each experimental unit. +- What does `dim()` do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:03:27.442Z + card-last-score:: 1 + - The `dim()` function returns the number of rows & columns in a dataframe. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Describing Data in R/2022-10-07T08_33_33.308Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Describing Data in R/2022-10-07T08_33_33.308Z.Desktop.md new file mode 100644 index 00000000..8c1a1c61 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Describing Data in R/2022-10-07T08_33_33.308Z.Desktop.md @@ -0,0 +1,24 @@ +- #[[ST2001 Labs]] +- **Previous Topic:** [[Using R as a Calculator]] +- **Next Topic:** null +- +- Most of our computation in R will be using data in table form, with rows & columns, which are often stored as a `data.frame` object. + - The rows usually represent different *observations*, (e.g., humans, cars, etc.) and the columns represent different *variables* (features of the observation), (e.g., height, weight, etc.). +- +- What does `glimpse()` do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T09:23:35.496Z + card-last-score:: 1 + - The `glimpse()` function gives us an overview of the dataset on each experimental unit. +- What does `dim()` do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T09:23:32.281Z + card-last-score:: 1 + - The `dim()` function returns the number of rows & columns in a dataframe. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Describing Data in R/2022-10-10T11_59_52.375Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Describing Data in R/2022-10-10T11_59_52.375Z.Desktop.md new file mode 100644 index 00000000..947ed490 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Describing Data in R/2022-10-10T11_59_52.375Z.Desktop.md @@ -0,0 +1,24 @@ +- #[[ST2001 Labs]] +- **Previous Topic:** [[Using R as a Calculator]] +- **Next Topic:** null +- +- Most of our computation in R will be using data in table form, with rows & columns, which are often stored as a `data.frame` object. + - The rows usually represent different *observations*, (e.g., humans, cars, etc.) and the columns represent different *variables* (features of the observation), (e.g., height, weight, etc.). +- +- What does `glimpse()` do? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T03:21:42.690Z + card-last-reviewed:: 2022-10-06T17:21:42.691Z + card-last-score:: 5 + - The `glimpse()` function gives us an overview of the dataset on each experimental unit. +- What does `dim()` do? #card + card-last-interval:: 0.81 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T17:48:26.089Z + card-last-reviewed:: 2022-10-08T22:48:26.089Z + card-last-score:: 3 + - The `dim()` function returns the number of rows & columns in a dataframe. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Describing Data in R/2022-10-20T09_05_57.937Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Describing Data in R/2022-10-20T09_05_57.937Z.Desktop.md new file mode 100644 index 00000000..f2247bd7 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Describing Data in R/2022-10-20T09_05_57.937Z.Desktop.md @@ -0,0 +1,24 @@ +- #[[ST2001 Labs]] +- **Previous Topic:** [[Using R as a Calculator]] +- **Next Topic:** null +- +- Most of our computation in R will be using data in table form, with rows & columns, which are often stored as a `data.frame` object. + - The rows usually represent different *observations*, (e.g., humans, cars, etc.) and the columns represent different *variables* (features of the observation), (e.g., height, weight, etc.). +- +- What does `glimpse()` do? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T03:21:42.690Z + card-last-reviewed:: 2022-10-06T17:21:42.691Z + card-last-score:: 5 + - The `glimpse()` function gives us an overview of the dataset on each experimental unit. +- What does `dim()` do? #card + card-last-interval:: 7.48 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T22:44:50.782Z + card-last-reviewed:: 2022-10-10T11:44:50.783Z + card-last-score:: 5 + - The `dim()` function returns the number of rows & columns in a dataframe. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Discrete Probability Distributions%3A Binomial & Poisson/2022-10-18T11_54_19.981Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Discrete Probability Distributions%3A Binomial & Poisson/2022-10-18T11_54_19.981Z.Desktop.md new file mode 100644 index 00000000..e4fcb529 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Discrete Probability Distributions%3A Binomial & Poisson/2022-10-18T11_54_19.981Z.Desktop.md @@ -0,0 +1,11 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Random Variables]] +- **Next Topic:** [[The Normal Distribution]] +- **Relevant Slides:** ![Topic 6 - Binomial and Poisson.pdf](../assets/Topic_6_-_Binomial_and_Poisson_1665414148124_0.pdf) +- +- What is a **Bernouli Trial**? #card + - A **Bernouli Trial** is a random experiment with just two outcomes - success / failure. + - For a single trial, random variable: + - $$X = \Bigl\{{1 \text{ sucess}}\\{0 \text{ failure}}$$ +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Discrete Probability Distributions%3A Binomial & Poisson/2022-11-09T13_03_58.105Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Discrete Probability Distributions%3A Binomial & Poisson/2022-11-09T13_03_58.105Z.Desktop.md new file mode 100644 index 00000000..da6ae5e7 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Discrete Probability Distributions%3A Binomial & Poisson/2022-11-09T13_03_58.105Z.Desktop.md @@ -0,0 +1,125 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Random Variables]] +- **Next Topic:** [[The Normal Distribution]] +- **Relevant Slides:** ![Topic 6 - Binomial and Poisson.pdf](../assets/Topic_6_-_Binomial_and_Poisson_1665414148124_0.pdf) +- +- Often, the observations generated by different statistical experiments have the same type of behaviour. + - In general, only a handful of important probability distributions are needed to describe many of the discrete random variables encountered in practice. + - +- # Bernoulli Trials + collapsed:: true + - What is a **Bernoulli Trial**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:48:37.965Z + card-last-score:: 1 + - A **Bernoulli Trial** is a random experiment with just two outcomes - success / failure. + - For a single trial, random variable: + - $$X = \begin{cases}1, & \text{success,} \\0, & \text{failure.}\end{cases}$$ + - $P(X = 1) = p$ and $P(X=0) = 1 -p$, where $p$ is the success probability, or more compactly: + - $$P(X = x) = p^x{(1-p)^{1-x}} \ \ \ \ \ x = 0,1$$ + - What is the **expected value** of a Bernoulli Trial? #card + - $$E[X] = (0)(1-p)+(1)p = p$$ + - What is the **variance** of a Bernoulli Trial? #card + - $$Var(X) = p(1-p)$$ + - ## Bernoulli Trial Assumptions #card + - The outcomes of the trials are mutually **independent**. + - The probability of success $p$ is **constant** over trials. + - Note that these assumptions may not always be appropriate assumptions. + - ## Example: Camera Flash Tests + id:: 6368f276-bc7e-4d91-b7fb-c5b34c4c6feb + - The time to recharge the flash is tested in three mobile phone cameras. The probability that a camera passes the test is 0.8, and the cameras perform independently. + background-color:: green + - The random variable $X$ denotes the number of cameras that pass the test. The last column of the tables shows the values of $X$ assigned to each outcome of the experiment. + background-color:: green + - What is the probability that the first & second cameras pass the test, and the third one fails? + background-color:: green + - ![image.png](../assets/image_1667822368192_0.png) + - Each camera test can be treated as a **Bernoulli Trial**. + - $$P(PPF) = (0.8)(0.8)(0.2) = 0.128$$ + - What is the probability that two cameras pass the test in three trials? + background-color:: green + - How many ways can this event happen? + - $$\binom{n}{r} = \frac{n!}{r!(n-r)!} = \frac{3!}{2!(3-2)!} = 3$$ + - What is the probability of this event? + - 0.128 for each of the three ways. + - Probability = $3(0.128) = 0.383$. + - This is an example of the **Binomial Distribution**. + - +- # The Binomial Distribution + collapsed:: true + - What is the **binomial random variable**? #card + - A random experiment consists of $n$ Bernoulli trials such that: + - 1. The trials are independent. + 2. Each trial results in only two possible outcomes, labelled as "success" & "failure". + 3. The probability of a success in each trial, denotes as $p$, remains constant. + - The random variable $X$ that equals the number of trials that result in a success has a **binomial random variable** with parameters $0 < p < 1$ and $n = 1, 2, \cdots$. + - The **probability mass function** of $X$ is + - $$f(x) = \binom{n}{x}p^x (1-p)^{n-x} \ \ \ \ \ x = 0,1,\cdots, n$$ + - ## Example: Camera Flash Tests + - See ((6368f276-bc7e-4d91-b7fb-c5b34c4c6feb)) for whole question. + background-color:: green + - Calculate the probability of 2 passes in 3 tests. + background-color:: green + - We are given that $n = 3$ and $p = 0.8$. + - Use the Binomial Distribution formula where $X$ is the number of passes: + - $$P(X = 2) = \binom{3}{2}(o.8)^2(0.2)^1 = 3(0.128) = 0.384$$ + - ## Example: Organic Pollution + id:: 6368f570-83e7-4642-a881-7ccd40bb0399 + - Each sample of water has a 10% chance of containing a particular organic pollutant. Assume that the sample are independent with regard to the presence of the pollutant. + background-color:: green + - Find the probability that, in the next 18 samples, exactly 2 contain the pollutant. + background-color:: green + - Let $X$ denote the number of samples that contain the pollutant in the next 18 samples analysed. Then $X$ is a binomial random variable with $p = 0.1$ and $n = 18$. + - $$P(X = 2) = \binom{18}{2}(0.1)^2(0.9)^{18-2} = 153(0.1)^2(0.9)^16 = 0.2835$$ + - Determine the probability that $3 \leq X < 7$. + background-color:: green + - $$X = 3,4,5,6$$ + - $$P(3 \leq X < 7) = P(X=3) + P(X=4) + P(X=5) + P(X=6)$$ + - $$ \text{or}$$ + - $$P(3 \leq X < 7) = \sum^6_{x=3} \binom{18}{x}(0.1)^x(0.9)^{18-x}$$ + - $$ = 0.168 + 0.070 + 0.022 + 0.005 = 0.265$$ + - ## Binomial Distributions in R #card + - `dbinom(x, size, prob)`, where `x` is the number of events required, `size` is the total number of trials, & `prob` is the probability of the event occurring. + - ### Example: Organic Pollution + - In ((6368f570-83e7-4642-a881-7ccd40bb0399)), `x=2`, `size=18`, & `p=0.10`. + background-color:: green + - ```R + dbinom(x=2, size=18, prob=0.1) + [1] 0.2835121 + ``` + - ## Binomial Mean & Variance #card + - If $X$ is a **binomial random variable** with parameters $p$ & $n$: + - The **mean** & **variance** of the binomial distribution $b(x; n,p)$ are + - $$\mu = np \text{ and } \sigma^2 = npq \text{, where } q = 1-p$$ + - ## Chebyshev's Inequality + - What is **Chebyshev's Inequality**? #card + - **Chebyshev's Inequality** provides an estimate as to where a certain percentage of observations will lie relative to the mean once the **standard deviation** is known. + - For example, at least 75% of values will lie within two standard deviations of the mean. + - +- # Poisson Distribution + - What are **Poisson Experiments**? #card + - Experiments yielding numerical values of a random variable $X$, the number of outcomes occurring during a given time interval or in a specified region, are called **Poisson Experiments**. + - The given time interval may be of any length, such as a minute, a day, a week, a month, or even a year. + - A Poisson Experiment is derived from the **Poisson Process** and possesses the following properties: + - The number of outcomes occurring one time interval or specified region of space is **independent** of the number that occur in any other disjoint time interval or region. In this sense, we say that the Poisson Process "has no memory". + - The probability that a single outcome will occur during a very short time interval or in a small region is **proportional** to the **length** of the time interval or the size of the region, and does not depend on the number of outcomes occurring outside this time interval or region. + - The probability that more than one outcome will occur in such a short time interval or fall in such a small region is **negligible**. + - What is the **Poisson Distribution**? #card + - The random variable $X$ that equals the number of events in a Poisson Process is a **Poisson Random Variable** with parameter $\lambda > 0 $, and the probability density function is + - $$f(x) = \frac{e^{-\lambda}\lambda^x}{x!} \text{ for } x = 0,1,2,3,\cdots$$ + - ## Mean & Variance of Poisson Distribution + - If $\lambda$ is the average number of successes occurring in a given time interval or region in the Poisson Distribution, then the **mean** & the **variance** of the Poisson distribution are both equal to $\lambda$. + - Mean = $\lambda$, variance = $\lambda$. + - A one parameter distribution. + - ## Poisson Density Functions for Different Means + - ![image.png](../assets/image_1667824994941_0.png) + - If the variance is much greater than the mean, then the Poisson Distribution would not be a good model for the distribution of the random variable. + - ## Poisson Example: Calculations for Wire Flaws + - Suppose that the number of flaws on a thin copper wire follows a Poisson Distribution with a mean of 2.3 flaws per millimetre. + background-color:: green + - Find the probability of exactly 2 flaws in 1mm of wire. + background-color:: green + - $$P(X = 2) = \frac{e^{-2.3}2.3{2}}{2!} = 0.265$$ \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Discrete Probability Distributions%3A Binomial & Poisson/2022-11-11T12_04_45.325Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Discrete Probability Distributions%3A Binomial & Poisson/2022-11-11T12_04_45.325Z.Desktop.md new file mode 100644 index 00000000..4ebbfd95 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Discrete Probability Distributions%3A Binomial & Poisson/2022-11-11T12_04_45.325Z.Desktop.md @@ -0,0 +1,151 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Random Variables]] +- **Next Topic:** [[The Normal Distribution]] +- **Relevant Slides:** ![Topic 6 - Binomial and Poisson.pdf](../assets/Topic_6_-_Binomial_and_Poisson_1665414148124_0.pdf) +- +- Often, the observations generated by different statistical experiments have the same type of behaviour. + - In general, only a handful of important probability distributions are needed to describe many of the discrete random variables encountered in practice. + - +- # Bernoulli Trials + collapsed:: true + - What is a **Bernoulli Trial**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:48:37.965Z + card-last-score:: 1 + - A **Bernoulli Trial** is a random experiment with just two outcomes - success / failure. + - For a single trial, random variable: + - $$X = \begin{cases}1, & \text{success,} \\0, & \text{failure.}\end{cases}$$ + - $P(X = 1) = p$ and $P(X=0) = 1 -p$, where $p$ is the success probability, or more compactly: + - $$P(X = x) = p^x{(1-p)^{1-x}} \ \ \ \ \ x = 0,1$$ + - What is the **expected value** of a Bernoulli Trial? #card + - $$E[X] = (0)(1-p)+(1)p = p$$ + - What is the **variance** of a Bernoulli Trial? #card + - $$Var(X) = p(1-p)$$ + - ## Bernoulli Trial Assumptions #card + - The outcomes of the trials are mutually **independent**. + - The probability of success $p$ is **constant** over trials. + - Note that these assumptions may not always be appropriate assumptions. + - ## Example: Camera Flash Tests + id:: 6368f276-bc7e-4d91-b7fb-c5b34c4c6feb + - The time to recharge the flash is tested in three mobile phone cameras. The probability that a camera passes the test is 0.8, and the cameras perform independently. + background-color:: green + - The random variable $X$ denotes the number of cameras that pass the test. The last column of the tables shows the values of $X$ assigned to each outcome of the experiment. + background-color:: green + - What is the probability that the first & second cameras pass the test, and the third one fails? + background-color:: green + - ![image.png](../assets/image_1667822368192_0.png) + - Each camera test can be treated as a **Bernoulli Trial**. + - $$P(PPF) = (0.8)(0.8)(0.2) = 0.128$$ + - What is the probability that two cameras pass the test in three trials? + background-color:: green + - How many ways can this event happen? + - $$\binom{n}{r} = \frac{n!}{r!(n-r)!} = \frac{3!}{2!(3-2)!} = 3$$ + - What is the probability of this event? + - 0.128 for each of the three ways. + - Probability = $3(0.128) = 0.383$. + - This is an example of the **Binomial Distribution**. + - +- # The Binomial Distribution + collapsed:: true + - What is a **binomial random variable**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:39:57.976Z + card-last-score:: 1 + - A random experiment consists of $n$ Bernoulli trials such that: + - 1. The trials are independent. + 2. Each trial results in only two possible outcomes, labelled as "success" & "failure". + 3. The probability of a success in each trial, denotes as $p$, remains constant. + - The random variable $X$ that equals the number of trials that result in a success has a **binomial random variable** with parameters $0 < p < 1$ and $n = 1, 2, \cdots$. + - The **probability mass function** of $X$ is + - $$f(x) = \binom{n}{x}p^x (1-p)^{n-x} \ \ \ \ \ x = 0,1,\cdots, n$$ + - ## Example: Camera Flash Tests + - See ((6368f276-bc7e-4d91-b7fb-c5b34c4c6feb)) for whole question. + background-color:: green + - Calculate the probability of 2 passes in 3 tests. + background-color:: green + - We are given that $n = 3$ and $p = 0.8$. + - Use the Binomial Distribution formula where $X$ is the number of passes: + - $$P(X = 2) = \binom{3}{2}(o.8)^2(0.2)^1 = 3(0.128) = 0.384$$ + - ## Example: Organic Pollution + id:: 6368f570-83e7-4642-a881-7ccd40bb0399 + - Each sample of water has a 10% chance of containing a particular organic pollutant. Assume that the sample are independent with regard to the presence of the pollutant. + background-color:: green + - Find the probability that, in the next 18 samples, exactly 2 contain the pollutant. + background-color:: green + - Let $X$ denote the number of samples that contain the pollutant in the next 18 samples analysed. Then $X$ is a binomial random variable with $p = 0.1$ and $n = 18$. + - $$P(X = 2) = \binom{18}{2}(0.1)^2(0.9)^{18-2} = 153(0.1)^2(0.9)^16 = 0.2835$$ + - Determine the probability that $3 \leq X < 7$. + background-color:: green + - $$X = 3,4,5,6$$ + - $$P(3 \leq X < 7) = P(X=3) + P(X=4) + P(X=5) + P(X=6)$$ + - $$ \text{or}$$ + - $$P(3 \leq X < 7) = \sum^6_{x=3} \binom{18}{x}(0.1)^x(0.9)^{18-x}$$ + - $$ = 0.168 + 0.070 + 0.022 + 0.005 = 0.265$$ + - ## Binomial Distributions in R #card + - `dbinom(x, size, prob)`, where `x` is the number of events required, `size` is the total number of trials, & `prob` is the probability of the event occurring. + - ### Example: Organic Pollution + - In ((6368f570-83e7-4642-a881-7ccd40bb0399)), `x=2`, `size=18`, & `p=0.10`. + background-color:: green + - ```R + dbinom(x=2, size=18, prob=0.1) + [1] 0.2835121 + ``` + - ## Binomial Mean & Variance #card + - If $X$ is a **binomial random variable** with parameters $p$ & $n$: + - The **mean** & **variance** of the binomial distribution $b(x; n,p)$ are + - $$\mu = np \text{ and } \sigma^2 = npq \text{, where } q = 1-p$$ + - ## Chebyshev's Inequality + - What is **Chebyshev's Inequality**? #card + - **Chebyshev's Inequality** provides an estimate as to where a certain percentage of observations will lie relative to the mean once the **standard deviation** is known. + - For example, at least 75% of values will lie within two standard deviations of the mean. + - +- # Poisson Distribution + - What are **Poisson Experiments**? #card + - Experiments yielding numerical values of a random variable $X$, the number of outcomes occurring during a given time interval or in a specified region, are called **Poisson Experiments**. + - The given time interval may be of any length, such as a minute, a day, a week, a month, or even a year. + - A Poisson Experiment is derived from the **Poisson Process** and possesses the following properties: + - The number of outcomes occurring one time interval or specified region of space is **independent** of the number that occur in any other disjoint time interval or region. In this sense, we say that the Poisson Process "has no memory". + - The probability that a single outcome will occur during a very short time interval or in a small region is **proportional** to the **length** of the time interval or the size of the region, and does not depend on the number of outcomes occurring outside this time interval or region. + - The probability that more than one outcome will occur in such a short time interval or fall in such a small region is **negligible**. + - What is the **Poisson Distribution**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:38:39.167Z + card-last-score:: 1 + - The random variable $X$ that equals the number of events in a Poisson Process is a **Poisson Random Variable** with parameter $\lambda > 0$, and the probability density function is + - $$f(x) = \frac{e^{-\lambda}\lambda^x}{x!} \text{ for } x = 0,1,2,3,\cdots$$ + - ## Mean & Variance of Poisson Distribution + - If $\lambda$ is the average number of successes occurring in a given time interval or region in the Poisson Distribution, then the **mean** & the **variance** of the Poisson distribution are both equal to $\lambda$. + - Mean = $\lambda$, variance = $\lambda$. + - A one parameter distribution. + - ## Poisson Density Functions for Different Means + - ![image.png](../assets/image_1667824994941_0.png) + - If the variance is much greater than the mean, then the Poisson Distribution would not be a good model for the distribution of the random variable. + - ## Poisson Example: Calculations for Wire Flaws + - Suppose that the number of flaws on a thin copper wire follows a Poisson Distribution with a mean of 2.3 flaws per millimetre. + background-color:: green + - Find the probability of exactly 2 flaws in 1mm of wire. + background-color:: green + - $$P(X = 2) = \frac{e^{-2.3}2.3{2}}{2!} = 0.265$$ + - ## Poisson Example: Car Park + - A car park has 3 entrances, $A$, $B$, & $C$. The number of cars per hour entering through each of these is Poisson-distributed with mean $\lambda_A = 1.5$, $\lambda_B = 1.0$, and $\lambda_C = 2.5$. Arrivals at each entrance are **independent**. + background-color:: green + - $T$ is the total number of cars entering in an hour. + - $$T \sim \text{ Poisson}(\lambda_A + \lambda_B + \lambda_C) \equiv \text{Poisson}(1.5 + 1.0 + 2.5) \equiv \text{Poisson}(5)$$ + - $$P(T = 4) = \frac{e^{-5} 5^4}{4!} = 0.1755$$ + - ## Sum of Independent Poisson Random Variables #card + - If $X_1, X_2, \cdots, X_n$ are independently Poisson distributed with parameters $\lambda_1, \lambda_2, \cdots, \lambda_n$ then + - $$T = X_1 + X_2 + \cdots + X_n \text{ is Poisson}(\lambda_1 + \lambda_2 + \cdots + \lambda_n)$$ + - and + - $$E[T] = \lambda_1 + \lambda_2 + \cdots + \lambda_n$$ + - and + - $$\text{Var}(T) = \lambda_1 + \lambda_2 + \cdots + \lambda_n$$ + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-10-10T11_59_52.384Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-10-10T11_59_52.384Z.Desktop.md new file mode 100644 index 00000000..d060a711 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-10-10T11_59_52.384Z.Desktop.md @@ -0,0 +1,313 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Aggregate Clauses, Group By, & Having Clauses]] +- **Next Topic:** null +- **Relevant Slides:** ![ER-models.pdf](../assets/ER-models_1664888140370_0.pdf) +- +- What are **Data Models**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-08T23:00:14.804Z + card-last-score:: 1 + - **Data models** are concepts to describe the structure of a database. + - They comprise: + - High level or logical models; + - Representational / Implementational data models; + - Physical data models. + - Data models allow for database abstraction. +- What are **ER Models**? #card + card-last-interval:: 3.21 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T15:21:53.036Z + card-last-reviewed:: 2022-10-07T10:21:53.036Z + card-last-score:: 3 + - **Entity Relationship Models** are a top-down approach to database design that provide a way to *model the data* that will be stored in a system. The models are then used to *create tables* in the relational model. + - ER Models are used to identify: + - [1] The important data to be stored in a database called **entities**. + - [2] The **relationships** between the entities. + - [3] The **attributes** of entities. + - [4] The **constraints&& of relationships & entities. +- +- # ER Model Notation + - A number of different notations can be used to represent the same model. + - Chen Notation. + - IE Crow's Foot Notation. + - UML. + - Integrated Definition 1. Extended (IDEF1X). + - + - The original (Chen) notation uses diamonds, rectangles, and elipses. + - This is easier to hand-draw, so it is useful in an exam situation. + - It is less implementation-oriented than other notations. +- +- # Some Definitions + collapsed:: true + - ## Entities + collapsed:: true + - What is an **entity type**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:23:11.260Z + card-last-score:: 1 + - An **entity type** is a collection of *entity instances* that share common properties or charcteristics. + - It is a group of objects, with the same properties, which are identified as having an independent existence. + - ![image.png](../assets/image_1664889325926_0.png) + - What is an **entity instance**? #card + card-last-interval:: 3.18 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T21:24:28.725Z + card-last-reviewed:: 2022-10-06T17:24:28.726Z + card-last-score:: 3 + - An **entity instance** or **entity occurrence** is a single, uniquely identifiable occurrence of an entity type (e.g., row in a table). + - ![image.png](../assets/image_1664889343582_0.png) + - ## Relationships + - What is a **relationship type**? #card + card-last-interval:: 2.6 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T05:10:30.449Z + card-last-reviewed:: 2022-10-08T15:10:30.450Z + card-last-score:: 5 + collapsed:: true + - A **relationship type** is a set of meaningful relationships among entity types. + - **Chen's Notation:** A diamond shape is used to name the relationship. 1 and M/N are used for the "1" and "many" sides respectively. + - **Crow's Foot Notation:** The titular "crow's foot" is used as the representation of "many", and one line is used for the representation of "1". + - ![image.png](../assets/image_1664890907305_0.png) + - **Example:** employee "works for" department. department "has" employee. + - ![image.png](../assets/image_1664889461415_0.png) + - What is a **relationship instance**? #card + collapsed:: true + card-last-interval:: 2.33 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T22:25:34.684Z + card-last-reviewed:: 2022-10-08T15:25:34.685Z + card-last-score:: 5 + - A **relationship instance** or **relationship occurrence** is a uniquely identifiable association which includes one occurrence from each participating entity type; reading left to right and right to left. + - **Example:** + - Left-to-Right: John Smith "works for" Research department. + - Right-to-Left: Research department "has" John Smith. + - What is the **degree** of a relationship type? #card + card-last-interval:: 3.57 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-09T22:44:53.027Z + card-last-reviewed:: 2022-10-06T09:44:53.027Z + card-last-score:: 5 + collapsed:: true + - Whenever an attribute of one entity type refers to another entity type, some relationship exists. + - The **degree** of a relationship type is the number of participating entity types. + - Relationship types may have certain constraints. + - What is the **Cardinality Ratio**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:45:27.674Z + card-last-score:: 1 + - The **cardinality ratio** specifies ^^the number of relationship instances that an entity can participate in.^^ + - The possible cardinality ratios for binary relationship types are: + - $1:1$, "one to one" - at most one instance of entity $A$ is associated with one instance of entity $B$. + - $1:N$, "one to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$. + - $M:N$, "many to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$, and for one instance of entity $B$, there are 0 or more instances of entity $A$. + - + - ### Structural Constraints on Relationships + - Often, we may know the min & max of the cardinalities. + - Example: limit on the number of books that can be borrowed from a library. + - What are **Structural Constraints**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:17:03.860Z + card-last-score:: 1 + - **Structural constraints** specify a pair of integer numbers *(min, max)* for each entity participating in a relationship. + - Examples: (0, 1), (1, 1), (1, N)., (1, 7). + - + - ## Attributes + collapsed:: true + - What are **Attributes**? #card + card-last-interval:: 3.45 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T03:21:54.114Z + card-last-reviewed:: 2022-10-06T17:21:54.115Z + card-last-score:: 5 + collapsed:: true + - **Attributes** are ^^named property^^ or characteristic of an entity. + - Each entity has a set of attributes associated with it. + - Several types of attributes exist: + - Key. + - Composite. + - Derived. + - Multi-valued. + - **Notation:** + - **Chen:** An oval enclosing the name of the attribute. + - ![image.png](../assets/image_1664889737597_0.png) + - **Crow:** Listed in the entity box. + - ![image.png](../assets/image_1664889775094_0.png) + - What are **key attributes**? #card + card-last-interval:: 4.04 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T10:47:07.833Z + card-last-reviewed:: 2022-10-07T10:47:07.833Z + card-last-score:: 5 + collapsed:: true + - Each entity type must have an attribute or set of attributes that ^^uniquely identifies^^ each instance from other instances of the same type. + - A **candidate key** is an attribute (or combination of attributes) that uniquely identifies each instance of an entity type. + - A **primary key (PK)** is a candidate key that has been selected as the identifier for an entity type. + - What is a **composite attribute**? #card + card-last-interval:: 3.45 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T19:44:43.280Z + card-last-reviewed:: 2022-10-06T09:44:43.280Z + card-last-score:: 3 + collapsed:: true + - A **composite attribute** is an attribute that is composed of several atomic (simple) attributes. + - If the composite attribute is referenced as a whole only, then there is no need to subdivide it into component attributes, otherwise you should divide it: + - ![image.png](../assets/image_1664890028074_0.png) + - What is a **derived attribute**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T20:18:30.906Z + card-last-reviewed:: 2022-10-07T10:18:30.906Z + card-last-score:: 3 + collapsed:: true + - A **derived attribute** is an attribute whose values can be determined from another attribute. + - For Chen's notation, the notation is a *dotted oval*. + - ![image.png](../assets/image_1664890167971_0.png) + - For Crow's Foot notation, derived attributes can be represented by enclosing the attribute in [square brackets], e.g., [age]. + - What is a **multi-valued attribute**? #card + collapsed:: true + card-last-interval:: 0.47 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T02:33:42.655Z + card-last-reviewed:: 2022-10-08T15:33:42.655Z + card-last-score:: 3 + - A **multi-valued attribute** is an attribute which has lower & upper bounds on the number of values for an individual entry. + - For Chen's notation, multi-valued attributes can be represented by one oval inside another. + - ![image.png](../assets/image_1664890277505_0.png) + - For Crow's Foot notation, multi-valued attributes can be represented by enclosing the attribute in {curly brackets}. + - E.g., {skills}. + - +- +- # Total & Partial Participation + collapsed:: true + - What is **Total Participation**? #card + card-last-interval:: 3.84 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T13:20:26.940Z + card-last-reviewed:: 2022-10-06T17:20:26.941Z + card-last-score:: 3 + - **Total Participation** (Mandatory Participation): All instances of an entity must participate in the relationship, i.e., *every* entity instance in one set *must* be related to an entity instance in the second via the relationship. + - For example, the entity "Student" must have **total participation** in the relationship "enrolled" with the entity "Course" - each student *must* be enrolled in a course. + - What is **Partial Participation**? #card + card-last-interval:: 2.51 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T03:07:33.950Z + card-last-reviewed:: 2022-10-08T15:07:33.952Z + card-last-score:: 5 + - **Partial Participation** (Optional Participation): Some subset of instances of an entity will participate in the relationship, but not all, i.e., *some* entity instances in one set are related to an entity instance in the second via the relationship. + - For example, the entity "Course" would have a **partial participation** in the relationship "enrolled" with the entity "Student" - a course might not have any students enrolled in it. + - ## Chen's Notation for Participation #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-18T05:50:33.140Z + card-last-reviewed:: 2022-10-09T08:50:33.141Z + card-last-score:: 3 + - In both total & partial participation, the line(s) are drawn from the participating entity to the relationship (the diamond) to indicate the participation of that instance from that entity in the relationship, + - **Total Participation:** Double parallel lines. + - ![image.png](../assets/image_1664968200677_0.png) + - **Partial Participation:** Single line. + - ![image.png](../assets/image_1664968259633_0.png) + - Examples: + - ![image.png](../assets/image_1664968387620_0.png) + - + - ## Crow's Foot Notation for Participation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:33:14.077Z + card-last-score:: 1 + collapsed:: true + - Use the idea of **Ordinality / Optionality**. + - **Optionality of 0:** If an entity $A$ has partial participation in a relationship to entity $B$, then $A$ is associated with 0 or more instances of entity $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 0** is a **bar**: $|$ + - **Optionality of 1:** If an entity $A$ has full participation in a relationship to entity $B$, then $A$ is associated with at least 1 or more of $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 1** is a **circle** or "o": $\bigcirc$ + - [And vice-versa.] + - In Crow's Foot notation, there is no diamond, so there is always a direct relationship line between the entities. + - The **optionality sign** is drawn on this line. + - The optionality drawn beside some entity $A$ refers to how an instance of entity $B$ is related to entity $A$. + - That is, whether $B$ can be involved partially (0) or not (1). + - Example in *Right to Left* Relationships: + - ![image.png](../assets/image_1664969067049_0.png) + - + - ## Note on Weak Entities + - **Note:** ^^A **weak entity type** always has a total participation constraint.^^ + - We need to show the "identifying relationship". + - ![image.png](../assets/image_1664969168410_0.png) + - ### Chen's Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:31:46.745Z + card-last-score:: 1 + collapsed:: true + - **Entity:** Double rectangle. + - **Relationship:** Double diamond. + - The weak entity has full participation in the relationship. + - ![image.png](../assets/image_1664969357926_0.png) + - + - ### Crow's Foot Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:25:11.281Z + card-last-score:: 1 + collapsed:: true + - In Crow's Foot Notation, we can represent the **weak entity** as a normal entity, but do not choose any attributes as the primary key. + - For an attribute that partially determines the entity instances, we choose the "required" option. + - We usually represent the relationship between entities using a **solid line**. + - This indicates that it is an "identifying" relationship. + - ![image.png](../assets/image_1664969566989_0.png) + - + - + - In general, with entities, there may be two valid solutions, one with a weak entity, and one without. + - There is not a huge difficulty if you do not identify weak entities in a solution so long as all the entities have **primary attributes**. + - It may be slightly non-optimal in terms of introducing an additional primary key that is not needed, but this is not a huge problem for us at this level. +- +- # Entities or Multi-Valued Attributes? + collapsed:: true + - Sometimes, it may not be clear whether something should be modelled as a multi-valued attribute or an entity. + - Both may be equally correct, as long as you represent all the information that you are asked to. + - You may see (very little) difference between the two approaches if you map either approach to tables in a database. +- +- # Steps to Create an ER Model + - 1. Identify entities. + 2. Identify relationships between entities. + 3. Draw entities & relationships. + 4. Add attributes to entities (& relationships, if appropriate). + 5. Add cardinalities to relationships. + 6. Add participation constraints (total or partial) to relationships. + 7. Check that all entities have primary keys identified. +- +- # Mapping ER Models to Tables in the Relational Model + - Once you have you ER diagram, you now need to convert it into a set of tables so that you can implement it in a relational mode. + - Example: As MySQL tables using +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-10-20T09_05_57.946Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-10-20T09_05_57.946Z.Desktop.md new file mode 100644 index 00000000..1a0d3a8a --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-10-20T09_05_57.946Z.Desktop.md @@ -0,0 +1,340 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Aggregate Clauses, Group By, & Having Clauses]] +- **Next Topic:** [[Joins & Union Queries]] +- **Relevant Slides:** ![ER-models.pdf](../assets/ER-models_1664888140370_0.pdf) +- +- What are **Data Models**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-08T23:00:14.804Z + card-last-score:: 1 + - **Data models** are concepts to describe the structure of a database. + - They comprise: + - High level or logical models; + - Representational / Implementational data models; + - Physical data models. + - Data models allow for database abstraction. +- What are **ER Models**? #card + card-last-interval:: 3.21 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T15:21:53.036Z + card-last-reviewed:: 2022-10-07T10:21:53.036Z + card-last-score:: 3 + - **Entity Relationship Models** are a top-down approach to database design that provide a way to *model the data* that will be stored in a system. The models are then used to *create tables* in the relational model. + - ER Models are used to identify: + - [1] The important data to be stored in a database called **entities**. + - [2] The **relationships** between the entities. + - [3] The **attributes** of entities. + - [4] The **constraints&& of relationships & entities. +- +- # ER Model Notation + - A number of different notations can be used to represent the same model. + - Chen Notation. + - IE Crow's Foot Notation. + - UML. + - Integrated Definition 1. Extended (IDEF1X). + - + - The original (Chen) notation uses diamonds, rectangles, and elipses. + - This is easier to hand-draw, so it is useful in an exam situation. + - It is less implementation-oriented than other notations. +- +- # Some Definitions + collapsed:: true + - ## Entities + collapsed:: true + - What is an **entity type**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:37:15.394Z + card-last-score:: 1 + - An **entity type** is a collection of *entity instances* that share common properties or charcteristics. + - It is a group of objects, with the same properties, which are identified as having an independent existence. + - ![image.png](../assets/image_1664889325926_0.png) + - What is an **entity instance**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:45:57.663Z + card-last-reviewed:: 2022-10-10T11:45:57.664Z + card-last-score:: 5 + - An **entity instance** or **entity occurrence** is a single, uniquely identifiable occurrence of an entity type (e.g., row in a table). + - ![image.png](../assets/image_1664889343582_0.png) + - ## Relationships + - What is a **relationship type**? #card + card-last-interval:: 2.6 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T05:10:30.449Z + card-last-reviewed:: 2022-10-08T15:10:30.450Z + card-last-score:: 5 + collapsed:: true + - A **relationship type** is a set of meaningful relationships among entity types. + - **Chen's Notation:** A diamond shape is used to name the relationship. 1 and M/N are used for the "1" and "many" sides respectively. + - **Crow's Foot Notation:** The titular "crow's foot" is used as the representation of "many", and one line is used for the representation of "1". + - ![image.png](../assets/image_1664890907305_0.png) + - **Example:** employee "works for" department. department "has" employee. + - ![image.png](../assets/image_1664889461415_0.png) + - What is a **relationship instance**? #card + collapsed:: true + card-last-interval:: 2.33 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T22:25:34.684Z + card-last-reviewed:: 2022-10-08T15:25:34.685Z + card-last-score:: 5 + - A **relationship instance** or **relationship occurrence** is a uniquely identifiable association which includes one occurrence from each participating entity type; reading left to right and right to left. + - **Example:** + - Left-to-Right: John Smith "works for" Research department. + - Right-to-Left: Research department "has" John Smith. + - What is the **degree** of a relationship type? #card + card-last-interval:: 3.57 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-09T22:44:53.027Z + card-last-reviewed:: 2022-10-06T09:44:53.027Z + card-last-score:: 5 + collapsed:: true + - Whenever an attribute of one entity type refers to another entity type, some relationship exists. + - The **degree** of a relationship type is the number of participating entity types. + - Relationship types may have certain constraints. + - What is the **Cardinality Ratio**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:41:32.658Z + card-last-score:: 1 + - The **cardinality ratio** specifies ^^the number of relationship instances that an entity can participate in.^^ + - The possible cardinality ratios for binary relationship types are: + - $1:1$, "one to one" - at most one instance of entity $A$ is associated with one instance of entity $B$. + - $1:N$, "one to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$. + - $M:N$, "many to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$, and for one instance of entity $B$, there are 0 or more instances of entity $A$. + - + - ### Structural Constraints on Relationships + - Often, we may know the min & max of the cardinalities. + - Example: limit on the number of books that can be borrowed from a library. + - What are **Structural Constraints**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:34:55.501Z + card-last-score:: 1 + - **Structural constraints** specify a pair of integer numbers *(min, max)* for each entity participating in a relationship. + - Examples: (0, 1), (1, 1), (1, N)., (1, 7). + - + - ## Attributes + collapsed:: true + - What are **Attributes**? #card + card-last-interval:: 3.45 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T03:21:54.114Z + card-last-reviewed:: 2022-10-06T17:21:54.115Z + card-last-score:: 5 + collapsed:: true + - **Attributes** are ^^named property^^ or characteristic of an entity. + - Each entity has a set of attributes associated with it. + - Several types of attributes exist: + - Key. + - Composite. + - Derived. + - Multi-valued. + - **Notation:** + - **Chen:** An oval enclosing the name of the attribute. + - ![image.png](../assets/image_1664889737597_0.png) + - **Crow:** Listed in the entity box. + - ![image.png](../assets/image_1664889775094_0.png) + - What are **key attributes**? #card + card-last-interval:: 4.04 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T10:47:07.833Z + card-last-reviewed:: 2022-10-07T10:47:07.833Z + card-last-score:: 5 + collapsed:: true + - Each entity type must have an attribute or set of attributes that ^^uniquely identifies^^ each instance from other instances of the same type. + - A **candidate key** is an attribute (or combination of attributes) that uniquely identifies each instance of an entity type. + - A **primary key (PK)** is a candidate key that has been selected as the identifier for an entity type. + - What is a **composite attribute**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:45:42.013Z + card-last-reviewed:: 2022-10-10T11:45:42.014Z + card-last-score:: 5 + collapsed:: true + - A **composite attribute** is an attribute that is composed of several atomic (simple) attributes. + - If the composite attribute is referenced as a whole only, then there is no need to subdivide it into component attributes, otherwise you should divide it: + - ![image.png](../assets/image_1664890028074_0.png) + - What is a **derived attribute**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T20:18:30.906Z + card-last-reviewed:: 2022-10-07T10:18:30.906Z + card-last-score:: 3 + collapsed:: true + - A **derived attribute** is an attribute whose values can be determined from another attribute. + - For Chen's notation, the notation is a *dotted oval*. + - ![image.png](../assets/image_1664890167971_0.png) + - For Crow's Foot notation, derived attributes can be represented by enclosing the attribute in [square brackets], e.g., [age]. + - What is a **multi-valued attribute**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:42:23.846Z + card-last-score:: 1 + - A **multi-valued attribute** is an attribute which has lower & upper bounds on the number of values for an individual entry. + - For Chen's notation, multi-valued attributes can be represented by one oval inside another. + - ![image.png](../assets/image_1664890277505_0.png) + - For Crow's Foot notation, multi-valued attributes can be represented by enclosing the attribute in {curly brackets}. + - E.g., {skills}. + - +- +- # Total & Partial Participation + collapsed:: true + - What is **Total Participation**? #card + card-last-interval:: 3.84 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T13:20:26.940Z + card-last-reviewed:: 2022-10-06T17:20:26.941Z + card-last-score:: 3 + - **Total Participation** (Mandatory Participation): All instances of an entity must participate in the relationship, i.e., *every* entity instance in one set *must* be related to an entity instance in the second via the relationship. + - For example, the entity "Student" must have **total participation** in the relationship "enrolled" with the entity "Course" - each student *must* be enrolled in a course. + - What is **Partial Participation**? #card + card-last-interval:: 2.51 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T03:07:33.950Z + card-last-reviewed:: 2022-10-08T15:07:33.952Z + card-last-score:: 5 + - **Partial Participation** (Optional Participation): Some subset of instances of an entity will participate in the relationship, but not all, i.e., *some* entity instances in one set are related to an entity instance in the second via the relationship. + - For example, the entity "Course" would have a **partial participation** in the relationship "enrolled" with the entity "Student" - a course might not have any students enrolled in it. + - ## Chen's Notation for Participation #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-18T05:50:33.140Z + card-last-reviewed:: 2022-10-09T08:50:33.141Z + card-last-score:: 3 + - In both total & partial participation, the line(s) are drawn from the participating entity to the relationship (the diamond) to indicate the participation of that instance from that entity in the relationship, + - **Total Participation:** Double parallel lines. + - ![image.png](../assets/image_1664968200677_0.png) + - **Partial Participation:** Single line. + - ![image.png](../assets/image_1664968259633_0.png) + - Examples: + - ![image.png](../assets/image_1664968387620_0.png) + - + - ## Crow's Foot Notation for Participation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:40:09.417Z + card-last-score:: 1 + collapsed:: true + - Use the idea of **Ordinality / Optionality**. + - **Optionality of 0:** If an entity $A$ has partial participation in a relationship to entity $B$, then $A$ is associated with 0 or more instances of entity $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 0** is a **bar**: $|$ + - **Optionality of 1:** If an entity $A$ has full participation in a relationship to entity $B$, then $A$ is associated with at least 1 or more of $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 1** is a **circle** or "o": $\bigcirc$ + - [And vice-versa.] + - In Crow's Foot notation, there is no diamond, so there is always a direct relationship line between the entities. + - The **optionality sign** is drawn on this line. + - The optionality drawn beside some entity $A$ refers to how an instance of entity $B$ is related to entity $A$. + - That is, whether $B$ can be involved partially (0) or not (1). + - Example in *Right to Left* Relationships: + - ![image.png](../assets/image_1664969067049_0.png) + - + - ## Note on Weak Entities + - **Note:** ^^A **weak entity type** always has a total participation constraint.^^ + - We need to show the "identifying relationship". + - ![image.png](../assets/image_1664969168410_0.png) + - ### Chen's Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:39:33.993Z + card-last-score:: 1 + collapsed:: true + - **Entity:** Double rectangle. + - **Relationship:** Double diamond. + - The weak entity has full participation in the relationship. + - ![image.png](../assets/image_1664969357926_0.png) + - + - ### Crow's Foot Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:37:34.222Z + card-last-score:: 1 + collapsed:: true + - In Crow's Foot Notation, we can represent the **weak entity** as a normal entity, but do not choose any attributes as the primary key. + - For an attribute that partially determines the entity instances, we choose the "required" option. + - We usually represent the relationship between entities using a **solid line**. + - This indicates that it is an "identifying" relationship. + - ![image.png](../assets/image_1664969566989_0.png) + - + - + - In general, with entities, there may be two valid solutions, one with a weak entity, and one without. + - There is not a huge difficulty if you do not identify weak entities in a solution so long as all the entities have **primary attributes**. + - It may be slightly non-optimal in terms of introducing an additional primary key that is not needed, but this is not a huge problem for us at this level. +- +- # Entities or Multi-Valued Attributes? + collapsed:: true + - Sometimes, it may not be clear whether something should be modelled as a multi-valued attribute or an entity. + - Both may be equally correct, as long as you represent all the information that you are asked to. + - You may see (very little) difference between the two approaches if you map either approach to tables in a database. +- +- # Steps to Create an ER Model + - 1. Identify entities. + 2. Identify relationships between entities. + 3. Draw entities & relationships. + 4. Add attributes to entities (& relationships, if appropriate). + 5. Add cardinalities to relationships. + 6. Add participation constraints (total or partial) to relationships. + 7. Check that all entities have primary keys identified. +- +- # Mapping ER Models to Tables in the Relational Model + - Once you have you ER diagram, you now need to convert it into a set of tables so that you can implement it in a relational mode. + - Example: As MySQL tables using `CREATE TABLES` commands. + - This stage is called **Mapping ER Models to Tables in the Relational Model**, and it specifies a set of rules that must be followed in a certain order. + - The rules specified here are based on **Chen's Notation**. + - ## Steps + - [1] For each entity, create a table $R$ that includes all the **simple** attributes of the entity. + - [2] For strong entities, choose a key attribute as the primary key of the table. + - [3] For weak entities $R$, include the primary key attributes of the table that corresponds to the owner as foreign key attributes of $R$. + - The primary key of $R$ is a combination of the primary key of the owner and the partial key of the weak entity type. + - The relationship of the weak & strong entity is generally taken care of by this step. + - [4] For each **binary** $1:1$ relationship, identify entites $S$ & $T$ that participate in the relation. + - If applicable, choose the entity that has **total participation** in the relation. + - Include the primary key of the other relation as the foreign key in this table. + - Include any attributes of the relationship as attributes of the chosen table. + - If both entities have total participation in the relationship, you can choose either one for the foreign key and proceed as above, or you can map two entities & their associated attributes & relationship attributes into one table. + - [5] For each **binary** $1:N$ relationship, identify the table $S$ that represents the $N$ side and the table $T$ that represents the $1$ side. + - Include the primary key of table $T$ as a foreign key in $S$ such that each entity on the $N$ side is related to at most one entity instance on the $1$ side. + - Include any attributes of the relationship as attributes of $S$. + - For recursive $1:N$ relationships, choose the primary key of the table and include it as a foreign key in the same table with a different name. + - [6] For each $M:N$ relationship, create a new table $S$ to represent the relationship. + - Include the primary keys of the tables that represent the participating entity types as foreign keys in $S$ - their combination will form the primary key of $S$. + - Also include in $S$ any attributes of the relationship. + - For a recursive $M:N$ relationship, both foreign keys come from the same table (give different names to each) and become the new primary key. + - [7] For each **multi-valued attribute** $A$ of an entity $S$, create a new table $R$. + - $R$ will include: + - An attribute corresponding to $A$. + - The primary key of $S$, which will be a foreign key in $R$. Call this $K$. + - The primary key of $R$ is a combination of $A$ & $K$. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-11-09T13_03_58.107Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-11-09T13_03_58.107Z.Desktop.md new file mode 100644 index 00000000..0d9b360b --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-11-09T13_03_58.107Z.Desktop.md @@ -0,0 +1,340 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Aggregate Clauses, Group By, & Having Clauses]] +- **Next Topic:** [[Joins & Union Queries]] +- **Relevant Slides:** ![ER-models.pdf](../assets/ER-models_1664888140370_0.pdf) +- +- What are **Data Models**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:28:27.254Z + card-last-score:: 1 + - **Data models** are concepts to describe the structure of a database. + - They comprise: + - High level or logical models; + - Representational / Implementational data models; + - Physical data models. + - Data models allow for database abstraction. +- What are **ER Models**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:33:37.565Z + card-last-score:: 1 + - **Entity Relationship Models** are a top-down approach to database design that provide a way to *model the data* that will be stored in a system. The models are then used to *create tables* in the relational model. + - ER Models are used to identify: + - [1] The important data to be stored in a database called **entities**. + - [2] The **relationships** between the entities. + - [3] The **attributes** of entities. + - [4] The **constraints** of relationships & entities. +- +- # ER Model Notation + - A number of different notations can be used to represent the same model. + - Chen Notation. + - IE Crow's Foot Notation. + - UML. + - Integrated Definition 1. Extended (IDEF1X). + - + - The original (Chen) notation uses diamonds, rectangles, and elipses. + - This is easier to hand-draw, so it is useful in an exam situation. + - It is less implementation-oriented than other notations. +- +- # Some Definitions + collapsed:: true + - ## Entities + collapsed:: true + - What is an **entity type**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:42:58.469Z + card-last-score:: 1 + - An **entity type** is a collection of *entity instances* that share common properties or charcteristics. + - It is a group of objects, with the same properties, which are identified as having an independent existence. + - ![image.png](../assets/image_1664889325926_0.png) + - What is an **entity instance**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:45:57.663Z + card-last-reviewed:: 2022-10-10T11:45:57.664Z + card-last-score:: 5 + - An **entity instance** or **entity occurrence** is a single, uniquely identifiable occurrence of an entity type (e.g., row in a table). + - ![image.png](../assets/image_1664889343582_0.png) + - ## Relationships + - What is a **relationship type**? #card + card-last-interval:: 2.6 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T05:10:30.449Z + card-last-reviewed:: 2022-10-08T15:10:30.450Z + card-last-score:: 5 + collapsed:: true + - A **relationship type** is a set of meaningful relationships among entity types. + - **Chen's Notation:** A diamond shape is used to name the relationship. 1 and M/N are used for the "1" and "many" sides respectively. + - **Crow's Foot Notation:** The titular "crow's foot" is used as the representation of "many", and one line is used for the representation of "1". + - ![image.png](../assets/image_1664890907305_0.png) + - **Example:** employee "works for" department. department "has" employee. + - ![image.png](../assets/image_1664889461415_0.png) + - What is a **relationship instance**? #card + collapsed:: true + card-last-interval:: 15.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-04T12:37:54.349Z + card-last-reviewed:: 2022-10-20T08:37:54.349Z + card-last-score:: 5 + - A **relationship instance** or **relationship occurrence** is a uniquely identifiable association which includes one occurrence from each participating entity type; reading left to right and right to left. + - **Example:** + - Left-to-Right: John Smith "works for" Research department. + - Right-to-Left: Research department "has" John Smith. + - What is the **degree** of a relationship type? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-23T18:28:15.095Z + card-last-reviewed:: 2022-10-20T08:28:15.096Z + card-last-score:: 3 + collapsed:: true + - Whenever an attribute of one entity type refers to another entity type, some relationship exists. + - The **degree** of a relationship type is ^^the number of participating entity types.^^ + - Relationship types may have certain constraints. + - What is the **Cardinality Ratio**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:25:13.663Z + card-last-score:: 1 + - The **cardinality ratio** specifies ^^the number of relationship instances that an entity can participate in.^^ + - The possible cardinality ratios for binary relationship types are: + - $1:1$, "one to one" - at most one instance of entity $A$ is associated with one instance of entity $B$. + - $1:N$, "one to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$. + - $M:N$, "many to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$, and for one instance of entity $B$, there are 0 or more instances of entity $A$. + - + - ### Structural Constraints on Relationships + - Often, we may know the min & max of the cardinalities. + - Example: limit on the number of books that can be borrowed from a library. + - What are **Structural Constraints**? #card + card-last-interval:: 0.85 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-27T07:51:05.213Z + card-last-reviewed:: 2022-10-26T11:51:05.213Z + card-last-score:: 3 + - **Structural constraints** specify a pair of integer numbers *(min, max)* for each entity participating in a relationship. + - Examples: (0, 1), (1, 1), (1, N)., (1, 7). + - + - ## Attributes + collapsed:: true + - What are **Attributes**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:29:04.692Z + card-last-score:: 1 + collapsed:: true + - **Attributes** are ^^named property^^ or characteristic of an entity. + - Each entity has a set of attributes associated with it. + - Several types of attributes exist: + - Key. + - Composite. + - Derived. + - Multi-valued. + - **Notation:** + - **Chen:** An oval enclosing the name of the attribute. + - ![image.png](../assets/image_1664889737597_0.png) + - **Crow:** Listed in the entity box. + - ![image.png](../assets/image_1664889775094_0.png) + - What are **key attributes**? #card + card-last-interval:: 4.04 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T10:47:07.833Z + card-last-reviewed:: 2022-10-07T10:47:07.833Z + card-last-score:: 5 + collapsed:: true + - Each entity type must have an attribute or set of attributes that ^^uniquely identifies^^ each instance from other instances of the same type. + - A **candidate key** is an attribute (or combination of attributes) that uniquely identifies each instance of an entity type. + - A **primary key (PK)** is a candidate key that has been selected as the identifier for an entity type. + - What is a **composite attribute**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:45:42.013Z + card-last-reviewed:: 2022-10-10T11:45:42.014Z + card-last-score:: 5 + collapsed:: true + - A **composite attribute** is an attribute that is composed of several atomic (simple) attributes. + - If the composite attribute is referenced as a whole only, then there is no need to subdivide it into component attributes, otherwise you should divide it: + - ![image.png](../assets/image_1664890028074_0.png) + - What is a **derived attribute**? #card + card-last-interval:: 5.14 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-25T11:37:32.828Z + card-last-reviewed:: 2022-10-20T08:37:32.828Z + card-last-score:: 5 + collapsed:: true + - A **derived attribute** is an attribute whose values can be determined from another attribute. + - For Chen's notation, the notation is a *dotted oval*. + - ![image.png](../assets/image_1664890167971_0.png) + - For Crow's Foot notation, derived attributes can be represented by enclosing the attribute in [square brackets], e.g., [age]. + - What is a **multi-valued attribute**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:39:12.380Z + card-last-score:: 1 + - A **multi-valued attribute** is an attribute which has lower & upper bounds on the number of values for an individual entry. + - For Chen's notation, multi-valued attributes can be represented by one oval inside another. + - ![image.png](../assets/image_1664890277505_0.png) + - For Crow's Foot notation, multi-valued attributes can be represented by enclosing the attribute in {curly brackets}. + - E.g., {skills}. + - +- +- # Total & Partial Participation + collapsed:: true + - What is **Total Participation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:31:55.731Z + card-last-score:: 1 + - **Total Participation** (Mandatory Participation): All instances of an entity must participate in the relationship, i.e., *every* entity instance in one set *must* be related to an entity instance in the second via the relationship. + - For example, the entity "Student" must have **total participation** in the relationship "enrolled" with the entity "Course" - each student *must* be enrolled in a course. + - What is **Partial Participation**? #card + card-last-interval:: 2.51 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T03:07:33.950Z + card-last-reviewed:: 2022-10-08T15:07:33.952Z + card-last-score:: 5 + - **Partial Participation** (Optional Participation): Some subset of instances of an entity will participate in the relationship, but not all, i.e., *some* entity instances in one set are related to an entity instance in the second via the relationship. + - For example, the entity "Course" would have a **partial participation** in the relationship "enrolled" with the entity "Student" - a course might not have any students enrolled in it. + - ## Chen's Notation for Participation #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-18T05:50:33.140Z + card-last-reviewed:: 2022-10-09T08:50:33.141Z + card-last-score:: 3 + - In both total & partial participation, the line(s) are drawn from the participating entity to the relationship (the diamond) to indicate the participation of that instance from that entity in the relationship, + - **Total Participation:** Double parallel lines. + - ![image.png](../assets/image_1664968200677_0.png) + - **Partial Participation:** Single line. + - ![image.png](../assets/image_1664968259633_0.png) + - Examples: + - ![image.png](../assets/image_1664968387620_0.png) + - + - ## Crow's Foot Notation for Participation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:42:23.258Z + card-last-score:: 1 + collapsed:: true + - Use the idea of **Ordinality / Optionality**. + - **Optionality of 0:** If an entity $A$ has partial participation in a relationship to entity $B$, then $A$ is associated with 0 or more instances of entity $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 0** is a **bar**: $|$ + - **Optionality of 1:** If an entity $A$ has full participation in a relationship to entity $B$, then $A$ is associated with at least 1 or more of $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 1** is a **circle** or "o": $\bigcirc$ + - [And vice-versa.] + - In Crow's Foot notation, there is no diamond, so there is always a direct relationship line between the entities. + - The **optionality sign** is drawn on this line. + - The optionality drawn beside some entity $A$ refers to how an instance of entity $B$ is related to entity $A$. + - That is, whether $B$ can be involved partially (0) or not (1). + - Example in *Right to Left* Relationships: + - ![image.png](../assets/image_1664969067049_0.png) + - + - ## Note on Weak Entities + - **Note:** ^^A **weak entity type** always has a total participation constraint.^^ + - We need to show the "identifying relationship". + - ![image.png](../assets/image_1664969168410_0.png) + - ### Chen's Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:38:00.499Z + card-last-score:: 1 + collapsed:: true + - **Entity:** Double rectangle. + - **Relationship:** Double diamond. + - The weak entity has full participation in the relationship. + - ![image.png](../assets/image_1664969357926_0.png) + - + - ### Crow's Foot Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:41:13.705Z + card-last-score:: 1 + collapsed:: true + - In Crow's Foot Notation, we can represent the **weak entity** as a normal entity, but do not choose any attributes as the primary key. + - For an attribute that partially determines the entity instances, we choose the "required" option. + - We usually represent the relationship between entities using a **solid line**. + - This indicates that it is an "identifying" relationship. + - ![image.png](../assets/image_1664969566989_0.png) + - + - + - In general, with entities, there may be two valid solutions, one with a weak entity, and one without. + - There is not a huge difficulty if you do not identify weak entities in a solution so long as all the entities have **primary attributes**. + - It may be slightly non-optimal in terms of introducing an additional primary key that is not needed, but this is not a huge problem for us at this level. +- +- # Entities or Multi-Valued Attributes? + collapsed:: true + - Sometimes, it may not be clear whether something should be modelled as a multi-valued attribute or an entity. + - Both may be equally correct, as long as you represent all the information that you are asked to. + - You may see (very little) difference between the two approaches if you map either approach to tables in a database. +- +- # Steps to Create an ER Model + - 1. Identify entities. + 2. Identify relationships between entities. + 3. Draw entities & relationships. + 4. Add attributes to entities (& relationships, if appropriate). + 5. Add cardinalities to relationships. + 6. Add participation constraints (total or partial) to relationships. + 7. Check that all entities have primary keys identified. +- +- # Mapping ER Models to Tables in the Relational Model + - Once you have you ER diagram, you now need to convert it into a set of tables so that you can implement it in a relational mode. + - Example: As MySQL tables using `CREATE TABLES` commands. + - This stage is called **Mapping ER Models to Tables in the Relational Model**, and it specifies a set of rules that must be followed in a certain order. + - The rules specified here are based on **Chen's Notation**. + - ## Steps + - [1] For each entity, create a table $R$ that includes all the **simple** attributes of the entity. + - [2] For strong entities, choose a key attribute as the primary key of the table. + - [3] For weak entities $R$, include the primary key attributes of the table that corresponds to the owner as foreign key attributes of $R$. + - The primary key of $R$ is a combination of the primary key of the owner and the partial key of the weak entity type. + - The relationship of the weak & strong entity is generally taken care of by this step. + - [4] For each **binary** $1:1$ relationship, identify entites $S$ & $T$ that participate in the relation. + - If applicable, choose the entity that has **total participation** in the relation. + - Include the primary key of the other relation as the foreign key in this table. + - Include any attributes of the relationship as attributes of the chosen table. + - If both entities have total participation in the relationship, you can choose either one for the foreign key and proceed as above, or you can map two entities & their associated attributes & relationship attributes into one table. + - [5] For each **binary** $1:N$ relationship, identify the table $S$ that represents the $N$ side and the table $T$ that represents the $1$ side. + - Include the primary key of table $T$ as a foreign key in $S$ such that each entity on the $N$ side is related to at most one entity instance on the $1$ side. + - Include any attributes of the relationship as attributes of $S$. + - For recursive $1:N$ relationships, choose the primary key of the table and include it as a foreign key in the same table with a different name. + - [6] For each $M:N$ relationship, create a new table $S$ to represent the relationship. + - Include the primary keys of the tables that represent the participating entity types as foreign keys in $S$ - their combination will form the primary key of $S$. + - Also include in $S$ any attributes of the relationship. + - For a recursive $M:N$ relationship, both foreign keys come from the same table (give different names to each) and become the new primary key. + - [7] For each **multi-valued attribute** $A$ of an entity $S$, create a new table $R$. + - $R$ will include: + - An attribute corresponding to $A$. + - The primary key of $S$, which will be a foreign key in $R$. Call this $K$. + - The primary key of $R$ is a combination of $A$ & $K$. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-11-11T12_04_45.329Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-11-11T12_04_45.329Z.Desktop.md new file mode 100644 index 00000000..5a508df0 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-11-11T12_04_45.329Z.Desktop.md @@ -0,0 +1,340 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Aggregate Clauses, Group By, & Having Clauses]] +- **Next Topic:** [[Joins & Union Queries]] +- **Relevant Slides:** ![ER-models.pdf](../assets/ER-models_1664888140370_0.pdf) +- +- What are **Data Models**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:28:27.254Z + card-last-score:: 1 + - **Data models** are concepts to describe the structure of a database. + - They comprise: + - High level or logical models; + - Representational / Implementational data models; + - Physical data models. + - Data models allow for database abstraction. +- What are **ER Models**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:33:37.565Z + card-last-score:: 1 + - **Entity Relationship Models** are a top-down approach to database design that provide a way to *model the data* that will be stored in a system. The models are then used to *create tables* in the relational model. + - ER Models are used to identify: + - [1] The important data to be stored in a database called **entities**. + - [2] The **relationships** between the entities. + - [3] The **attributes** of entities. + - [4] The **constraints** of relationships & entities. +- +- # ER Model Notation + - A number of different notations can be used to represent the same model. + - Chen Notation. + - IE Crow's Foot Notation. + - UML. + - Integrated Definition 1. Extended (IDEF1X). + - + - The original (Chen) notation uses diamonds, rectangles, and elipses. + - This is easier to hand-draw, so it is useful in an exam situation. + - It is less implementation-oriented than other notations. +- +- # Some Definitions + collapsed:: true + - ## Entities + collapsed:: true + - What is an **entity type**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:46:10.209Z + card-last-score:: 1 + - An **entity type** is a collection of *entity instances* that share common properties or charcteristics. + - It is a group of objects, with the same properties, which are identified as having an independent existence. + - ![image.png](../assets/image_1664889325926_0.png) + - What is an **entity instance**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:45:57.663Z + card-last-reviewed:: 2022-10-10T11:45:57.664Z + card-last-score:: 5 + - An **entity instance** or **entity occurrence** is a single, uniquely identifiable occurrence of an entity type (e.g., row in a table). + - ![image.png](../assets/image_1664889343582_0.png) + - ## Relationships + - What is a **relationship type**? #card + card-last-interval:: 2.6 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T05:10:30.449Z + card-last-reviewed:: 2022-10-08T15:10:30.450Z + card-last-score:: 5 + collapsed:: true + - A **relationship type** is a set of meaningful relationships among entity types. + - **Chen's Notation:** A diamond shape is used to name the relationship. 1 and M/N are used for the "1" and "many" sides respectively. + - **Crow's Foot Notation:** The titular "crow's foot" is used as the representation of "many", and one line is used for the representation of "1". + - ![image.png](../assets/image_1664890907305_0.png) + - **Example:** employee "works for" department. department "has" employee. + - ![image.png](../assets/image_1664889461415_0.png) + - What is a **relationship instance**? #card + collapsed:: true + card-last-interval:: 15.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-04T12:37:54.349Z + card-last-reviewed:: 2022-10-20T08:37:54.349Z + card-last-score:: 5 + - A **relationship instance** or **relationship occurrence** is a uniquely identifiable association which includes one occurrence from each participating entity type; reading left to right and right to left. + - **Example:** + - Left-to-Right: John Smith "works for" Research department. + - Right-to-Left: Research department "has" John Smith. + - What is the **degree** of a relationship type? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-23T18:28:15.095Z + card-last-reviewed:: 2022-10-20T08:28:15.096Z + card-last-score:: 3 + collapsed:: true + - Whenever an attribute of one entity type refers to another entity type, some relationship exists. + - The **degree** of a relationship type is ^^the number of participating entity types.^^ + - Relationship types may have certain constraints. + - What is the **Cardinality Ratio**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:25:13.663Z + card-last-score:: 1 + - The **cardinality ratio** specifies ^^the number of relationship instances that an entity can participate in.^^ + - The possible cardinality ratios for binary relationship types are: + - $1:1$, "one to one" - at most one instance of entity $A$ is associated with one instance of entity $B$. + - $1:N$, "one to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$. + - $M:N$, "many to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$, and for one instance of entity $B$, there are 0 or more instances of entity $A$. + - + - ### Structural Constraints on Relationships + - Often, we may know the min & max of the cardinalities. + - Example: limit on the number of books that can be borrowed from a library. + - What are **Structural Constraints**? #card + card-last-interval:: 0.85 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-27T07:51:05.213Z + card-last-reviewed:: 2022-10-26T11:51:05.213Z + card-last-score:: 3 + - **Structural constraints** specify a pair of integer numbers *(min, max)* for each entity participating in a relationship. + - Examples: (0, 1), (1, 1), (1, N)., (1, 7). + - + - ## Attributes + collapsed:: true + - What are **Attributes**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:29:04.692Z + card-last-score:: 1 + collapsed:: true + - **Attributes** are ^^named property^^ or characteristic of an entity. + - Each entity has a set of attributes associated with it. + - Several types of attributes exist: + - Key. + - Composite. + - Derived. + - Multi-valued. + - **Notation:** + - **Chen:** An oval enclosing the name of the attribute. + - ![image.png](../assets/image_1664889737597_0.png) + - **Crow:** Listed in the entity box. + - ![image.png](../assets/image_1664889775094_0.png) + - What are **key attributes**? #card + card-last-interval:: 4.04 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T10:47:07.833Z + card-last-reviewed:: 2022-10-07T10:47:07.833Z + card-last-score:: 5 + collapsed:: true + - Each entity type must have an attribute or set of attributes that ^^uniquely identifies^^ each instance from other instances of the same type. + - A **candidate key** is an attribute (or combination of attributes) that uniquely identifies each instance of an entity type. + - A **primary key (PK)** is a candidate key that has been selected as the identifier for an entity type. + - What is a **composite attribute**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:45:42.013Z + card-last-reviewed:: 2022-10-10T11:45:42.014Z + card-last-score:: 5 + collapsed:: true + - A **composite attribute** is an attribute that is composed of several atomic (simple) attributes. + - If the composite attribute is referenced as a whole only, then there is no need to subdivide it into component attributes, otherwise you should divide it: + - ![image.png](../assets/image_1664890028074_0.png) + - What is a **derived attribute**? #card + card-last-interval:: 5.14 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-25T11:37:32.828Z + card-last-reviewed:: 2022-10-20T08:37:32.828Z + card-last-score:: 5 + collapsed:: true + - A **derived attribute** is an attribute whose values can be determined from another attribute. + - For Chen's notation, the notation is a *dotted oval*. + - ![image.png](../assets/image_1664890167971_0.png) + - For Crow's Foot notation, derived attributes can be represented by enclosing the attribute in [square brackets], e.g., [age]. + - What is a **multi-valued attribute**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:39:12.380Z + card-last-score:: 1 + - A **multi-valued attribute** is an attribute which has lower & upper bounds on the number of values for an individual entry. + - For Chen's notation, multi-valued attributes can be represented by one oval inside another. + - ![image.png](../assets/image_1664890277505_0.png) + - For Crow's Foot notation, multi-valued attributes can be represented by enclosing the attribute in {curly brackets}. + - E.g., {skills}. + - +- +- # Total & Partial Participation + collapsed:: true + - What is **Total Participation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:45:13.796Z + card-last-score:: 1 + - **Total Participation** (Mandatory Participation): ==All instances of an entity must participate in the relationship==, i.e., *every* entity instance in one set *must* be related to an entity instance in the second via the relationship. + - For example, the entity "Student" must have **total participation** in the relationship "enrolled" with the entity "Course" - each student *must* be enrolled in a course. + - What is **Partial Participation**? #card + card-last-interval:: 2.51 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T03:07:33.950Z + card-last-reviewed:: 2022-10-08T15:07:33.952Z + card-last-score:: 5 + - **Partial Participation** (Optional Participation): Some subset of instances of an entity will participate in the relationship, but not all, i.e., *some* entity instances in one set are related to an entity instance in the second via the relationship. + - For example, the entity "Course" would have a **partial participation** in the relationship "enrolled" with the entity "Student" - a course might not have any students enrolled in it. + - ## Chen's Notation for Participation #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-18T05:50:33.140Z + card-last-reviewed:: 2022-10-09T08:50:33.141Z + card-last-score:: 3 + - In both total & partial participation, the line(s) are drawn from the participating entity to the relationship (the diamond) to indicate the participation of that instance from that entity in the relationship, + - **Total Participation:** Double parallel lines. + - ![image.png](../assets/image_1664968200677_0.png) + - **Partial Participation:** Single line. + - ![image.png](../assets/image_1664968259633_0.png) + - Examples: + - ![image.png](../assets/image_1664968387620_0.png) + - + - ## Crow's Foot Notation for Participation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:42:23.258Z + card-last-score:: 1 + collapsed:: true + - Use the idea of **Ordinality / Optionality**. + - **Optionality of 0:** If an entity $A$ has partial participation in a relationship to entity $B$, then $A$ is associated with 0 or more instances of entity $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 0** is a **bar**: $|$ + - **Optionality of 1:** If an entity $A$ has full participation in a relationship to entity $B$, then $A$ is associated with at least 1 or more of $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 1** is a **circle** or "o": $\bigcirc$ + - [And vice-versa.] + - In Crow's Foot notation, there is no diamond, so there is always a direct relationship line between the entities. + - The **optionality sign** is drawn on this line. + - The optionality drawn beside some entity $A$ refers to how an instance of entity $B$ is related to entity $A$. + - That is, whether $B$ can be involved partially (0) or not (1). + - Example in *Right to Left* Relationships: + - ![image.png](../assets/image_1664969067049_0.png) + - + - ## Note on Weak Entities + - **Note:** ^^A **weak entity type** always has a total participation constraint.^^ + - We need to show the "identifying relationship". + - ![image.png](../assets/image_1664969168410_0.png) + - ### Chen's Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:38:00.499Z + card-last-score:: 1 + collapsed:: true + - **Entity:** Double rectangle. + - **Relationship:** Double diamond. + - The weak entity has full participation in the relationship. + - ![image.png](../assets/image_1664969357926_0.png) + - + - ### Crow's Foot Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:41:13.705Z + card-last-score:: 1 + collapsed:: true + - In Crow's Foot Notation, we can represent the **weak entity** as a normal entity, but do not choose any attributes as the primary key. + - For an attribute that partially determines the entity instances, we choose the "required" option. + - We usually represent the relationship between entities using a **solid line**. + - This indicates that it is an "identifying" relationship. + - ![image.png](../assets/image_1664969566989_0.png) + - + - + - In general, with entities, there may be two valid solutions, one with a weak entity, and one without. + - There is not a huge difficulty if you do not identify weak entities in a solution so long as all the entities have **primary attributes**. + - It may be slightly non-optimal in terms of introducing an additional primary key that is not needed, but this is not a huge problem for us at this level. +- +- # Entities or Multi-Valued Attributes? + collapsed:: true + - Sometimes, it may not be clear whether something should be modelled as a multi-valued attribute or an entity. + - Both may be equally correct, as long as you represent all the information that you are asked to. + - You may see (very little) difference between the two approaches if you map either approach to tables in a database. +- +- # Steps to Create an ER Model + - 1. Identify entities. + 2. Identify relationships between entities. + 3. Draw entities & relationships. + 4. Add attributes to entities (& relationships, if appropriate). + 5. Add cardinalities to relationships. + 6. Add participation constraints (total or partial) to relationships. + 7. Check that all entities have primary keys identified. +- +- # Mapping ER Models to Tables in the Relational Model + - Once you have you ER diagram, you now need to convert it into a set of tables so that you can implement it in a relational mode. + - Example: As MySQL tables using `CREATE TABLES` commands. + - This stage is called **Mapping ER Models to Tables in the Relational Model**, and it specifies a set of rules that must be followed in a certain order. + - The rules specified here are based on **Chen's Notation**. + - ## Steps + - [1] For each entity, create a table $R$ that includes all the **simple** attributes of the entity. + - [2] For strong entities, choose a key attribute as the primary key of the table. + - [3] For weak entities $R$, include the primary key attributes of the table that corresponds to the owner as foreign key attributes of $R$. + - The primary key of $R$ is a combination of the primary key of the owner and the partial key of the weak entity type. + - The relationship of the weak & strong entity is generally taken care of by this step. + - [4] For each **binary** $1:1$ relationship, identify entites $S$ & $T$ that participate in the relation. + - If applicable, choose the entity that has **total participation** in the relation. + - Include the primary key of the other relation as the foreign key in this table. + - Include any attributes of the relationship as attributes of the chosen table. + - If both entities have total participation in the relationship, you can choose either one for the foreign key and proceed as above, or you can map two entities & their associated attributes & relationship attributes into one table. + - [5] For each **binary** $1:N$ relationship, identify the table $S$ that represents the $N$ side and the table $T$ that represents the $1$ side. + - Include the primary key of table $T$ as a foreign key in $S$ such that each entity on the $N$ side is related to at most one entity instance on the $1$ side. + - Include any attributes of the relationship as attributes of $S$. + - For recursive $1:N$ relationships, choose the primary key of the table and include it as a foreign key in the same table with a different name. + - [6] For each $M:N$ relationship, create a new table $S$ to represent the relationship. + - Include the primary keys of the tables that represent the participating entity types as foreign keys in $S$ - their combination will form the primary key of $S$. + - Also include in $S$ any attributes of the relationship. + - For a recursive $M:N$ relationship, both foreign keys come from the same table (give different names to each) and become the new primary key. + - [7] For each **multi-valued attribute** $A$ of an entity $S$, create a new table $R$. + - $R$ will include: + - An attribute corresponding to $A$. + - The primary key of $S$, which will be a foreign key in $R$. Call this $K$. + - The primary key of $R$ is a combination of $A$ & $K$. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-11-23T09_22_44.497Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-11-23T09_22_44.497Z.Desktop.md new file mode 100644 index 00000000..9d94082e --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-11-23T09_22_44.497Z.Desktop.md @@ -0,0 +1,340 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Aggregate Clauses, Group By, & Having Clauses]] +- **Next Topic:** [[Joins & Union Queries]] +- **Relevant Slides:** ![ER-models.pdf](../assets/ER-models_1664888140370_0.pdf) +- +- What are **Data Models**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:34:07.942Z + card-last-score:: 1 + - **Data models** are concepts to describe the structure of a database. + - They comprise: + - High level or logical models; + - Representational / Implementational data models; + - Physical data models. + - Data models allow for database abstraction. +- What are **ER Models**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:34:30.174Z + card-last-score:: 1 + - **Entity Relationship Models** are a top-down approach to database design that provide a way to *model the data* that will be stored in a system. The models are then used to *create tables* in the relational model. + - ER Models are used to identify: + - [1] The important data to be stored in a database called **entities**. + - [2] The **relationships** between the entities. + - [3] The **attributes** of entities. + - [4] The **constraints** of relationships & entities. +- +- # ER Model Notation + - A number of different notations can be used to represent the same model. + - Chen Notation. + - IE Crow's Foot Notation. + - UML. + - Integrated Definition 1. Extended (IDEF1X). + - + - The original (Chen) notation uses diamonds, rectangles, and elipses. + - This is easier to hand-draw, so it is useful in an exam situation. + - It is less implementation-oriented than other notations. +- +- # Some Definitions + collapsed:: true + - ## Entities + collapsed:: true + - What is an **entity type**? #card + card-last-interval:: 3.05 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T21:24:38.127Z + card-last-reviewed:: 2022-11-14T20:24:38.127Z + card-last-score:: 5 + - An **entity type** is a collection of *entity instances* that share common properties or charcteristics. + - It is a group of objects, with the same properties, which are identified as having an independent existence. + - ![image.png](../assets/image_1664889325926_0.png) + - What is an **entity instance**? #card + card-last-interval:: 11.34 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-26T00:47:05.851Z + card-last-reviewed:: 2022-11-14T16:47:05.851Z + card-last-score:: 5 + - An **entity instance** or **entity occurrence** is a single, uniquely identifiable occurrence of an entity type (e.g., row in a table). + - ![image.png](../assets/image_1664889343582_0.png) + - ## Relationships + - What is a **relationship type**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:30:24.202Z + card-last-score:: 1 + collapsed:: true + - A **relationship type** is a set of meaningful relationships among entity types. + - **Chen's Notation:** A diamond shape is used to name the relationship. 1 and M/N are used for the "1" and "many" sides respectively. + - **Crow's Foot Notation:** The titular "crow's foot" is used as the representation of "many", and one line is used for the representation of "1". + - ![image.png](../assets/image_1664890907305_0.png) + - **Example:** employee "works for" department. department "has" employee. + - ![image.png](../assets/image_1664889461415_0.png) + - What is a **relationship instance**? #card + collapsed:: true + card-last-interval:: 29.04 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-10T11:35:42.874Z + card-last-reviewed:: 2022-11-11T11:35:42.874Z + card-last-score:: 3 + - A **relationship instance** or **relationship occurrence** is ==a uniquely identifiable association which includes one occurrence from each participating entity type==; reading left to right and right to left. + - **Example:** + - Left-to-Right: John Smith "works for" Research department. + - Right-to-Left: Research department "has" John Smith. + - What is the **degree** of a relationship type? #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-22T01:30:24.968Z + card-last-reviewed:: 2022-11-11T11:30:24.969Z + card-last-score:: 5 + collapsed:: true + - Whenever an attribute of one entity type refers to another entity type, some relationship exists. + - The **degree** of a relationship type is ^^the number of participating entity types.^^ + - Relationship types may have certain constraints. + - What is the **Cardinality Ratio**? #card + collapsed:: true + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-20T15:15:43.390Z + card-last-reviewed:: 2022-11-17T20:15:43.391Z + card-last-score:: 5 + - The **cardinality ratio** specifies ^^the number of relationship instances that an entity can participate in.^^ + - The possible cardinality ratios for binary relationship types are: + - $1:1$, "one to one" - at most one instance of entity $A$ is associated with one instance of entity $B$. + - $1:N$, "one to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$. + - $M:N$, "many to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$, and for one instance of entity $B$, there are 0 or more instances of entity $A$. + - + - ### Structural Constraints on Relationships + - Often, we may know the min & max of the cardinalities. + - Example: limit on the number of books that can be borrowed from a library. + - What are **Structural Constraints**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-25T13:06:19.301Z + card-last-reviewed:: 2022-11-21T13:06:19.301Z + card-last-score:: 3 + - **Structural constraints** specify a pair of integer numbers *(min, max)* for each entity participating in a relationship. + - Examples: (0, 1), (1, 1), (1, N)., (1, 7). + - + - ## Attributes + collapsed:: true + - What are **Attributes**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:08.122Z + card-last-score:: 1 + collapsed:: true + - **Attributes** are ^^named property^^ or characteristic of an entity. + - Each entity has a set of attributes associated with it. + - Several types of attributes exist: + - Key. + - Composite. + - Derived. + - Multi-valued. + - **Notation:** + - **Chen:** An oval enclosing the name of the attribute. + - ![image.png](../assets/image_1664889737597_0.png) + - **Crow:** Listed in the entity box. + - ![image.png](../assets/image_1664889775094_0.png) + - What are **key attributes**? #card + card-last-interval:: 5.52 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-20T04:37:24.678Z + card-last-reviewed:: 2022-11-14T16:37:24.678Z + card-last-score:: 3 + collapsed:: true + - Each entity type must have an attribute or set of attributes that ^^uniquely identifies^^ each instance from other instances of the same type. + - A **candidate key** is an attribute (or combination of attributes) that uniquely identifies each instance of an entity type. + - A **primary key (PK)** is a candidate key that has been selected as the identifier for an entity type. + - What is a **composite attribute**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:46:49.892Z + card-last-score:: 1 + collapsed:: true + - A **composite attribute** is an attribute that is composed of several atomic (simple) attributes. + - If the composite attribute is referenced as a whole only, then there is no need to subdivide it into component attributes, otherwise you should divide it: + - ![image.png](../assets/image_1664890028074_0.png) + - What is a **derived attribute**? #card + card-last-interval:: 31.05 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-15T21:12:18.376Z + card-last-reviewed:: 2022-11-14T20:12:18.376Z + card-last-score:: 5 + collapsed:: true + - A **derived attribute** is an attribute whose values can be determined from another attribute. + - For Chen's notation, the notation is a *dotted oval*. + - ![image.png](../assets/image_1664890167971_0.png) + - For Crow's Foot notation, derived attributes can be represented by enclosing the attribute in [square brackets], e.g., [age]. + - What is a **multi-valued attribute**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:04.379Z + card-last-score:: 1 + - A **multi-valued attribute** is an attribute which has lower & upper bounds on the number of values for an individual entry. + - For Chen's notation, multi-valued attributes can be represented by one oval inside another. + - ![image.png](../assets/image_1664890277505_0.png) + - For Crow's Foot notation, multi-valued attributes can be represented by enclosing the attribute in {curly brackets}. + - E.g., {skills}. + - +- +- # Total & Partial Participation + collapsed:: true + - What is **Total Participation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T20:26:04.052Z + card-last-reviewed:: 2022-11-14T20:26:04.052Z + card-last-score:: 3 + - **Total Participation** (Mandatory Participation): ==All instances of an entity must participate in the relationship==, i.e., *every* entity instance in one set *must* be related to an entity instance in the second via the relationship. + - For example, the entity "Student" must have **total participation** in the relationship "enrolled" with the entity "Course" - each student *must* be enrolled in a course. + - What is **Partial Participation**? #card + card-last-interval:: 7.45 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-22T02:28:50.125Z + card-last-reviewed:: 2022-11-14T16:28:50.125Z + card-last-score:: 3 + - **Partial Participation** (Optional Participation): Some subset of instances of an entity will participate in the relationship, but not all, i.e., *some* entity instances in one set are related to an entity instance in the second via the relationship. + - For example, the entity "Course" would have a **partial participation** in the relationship "enrolled" with the entity "Student" - a course might not have any students enrolled in it. + - ## Chen's Notation for Participation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:06:29.661Z + card-last-score:: 1 + - In both total & partial participation, the line(s) are drawn from the participating entity to the relationship (the diamond) to indicate the participation of that instance from that entity in the relationship, + - **Total Participation:** Double parallel lines. + - ![image.png](../assets/image_1664968200677_0.png) + - **Partial Participation:** Single line. + - ![image.png](../assets/image_1664968259633_0.png) + - Examples: + - ![image.png](../assets/image_1664968387620_0.png) + - + - ## Crow's Foot Notation for Participation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:01.789Z + card-last-score:: 1 + collapsed:: true + - Use the idea of **Ordinality / Optionality**. + - **Optionality of 0:** If an entity $A$ has partial participation in a relationship to entity $B$, then $A$ is associated with 0 or more instances of entity $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 0** is a **bar**: $|$ + - **Optionality of 1:** If an entity $A$ has full participation in a relationship to entity $B$, then $A$ is associated with at least 1 or more of $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 1** is a **circle** or "o": $\bigcirc$ + - [And vice-versa.] + - In Crow's Foot notation, there is no diamond, so there is always a direct relationship line between the entities. + - The **optionality sign** is drawn on this line. + - The optionality drawn beside some entity $A$ refers to how an instance of entity $B$ is related to entity $A$. + - That is, whether $B$ can be involved partially (0) or not (1). + - Example in *Right to Left* Relationships: + - ![image.png](../assets/image_1664969067049_0.png) + - + - ## Note on Weak Entities + - **Note:** ^^A **weak entity type** always has a total participation constraint.^^ + - We need to show the "identifying relationship". + - ![image.png](../assets/image_1664969168410_0.png) + - ### Chen's Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:34:03.316Z + card-last-score:: 1 + collapsed:: true + - **Entity:** Double rectangle. + - **Relationship:** Double diamond. + - The weak entity has full participation in the relationship. + - ![image.png](../assets/image_1664969357926_0.png) + - + - ### Crow's Foot Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T19:36:10.883Z + card-last-score:: 1 + collapsed:: true + - In Crow's Foot Notation, we can represent the **weak entity** as a normal entity, but do not choose any attributes as the primary key. + - For an attribute that partially determines the entity instances, we choose the "required" option. + - We usually represent the relationship between entities using a **solid line**. + - This indicates that it is an "identifying" relationship. + - ![image.png](../assets/image_1664969566989_0.png) + - + - + - In general, with entities, there may be two valid solutions, one with a weak entity, and one without. + - There is not a huge difficulty if you do not identify weak entities in a solution so long as all the entities have **primary attributes**. + - It may be slightly non-optimal in terms of introducing an additional primary key that is not needed, but this is not a huge problem for us at this level. +- +- # Entities or Multi-Valued Attributes? + collapsed:: true + - Sometimes, it may not be clear whether something should be modelled as a multi-valued attribute or an entity. + - Both may be equally correct, as long as you represent all the information that you are asked to. + - You may see (very little) difference between the two approaches if you map either approach to tables in a database. +- +- # Steps to Create an ER Model + - 1. Identify entities. + 2. Identify relationships between entities. + 3. Draw entities & relationships. + 4. Add attributes to entities (& relationships, if appropriate). + 5. Add cardinalities to relationships. + 6. Add participation constraints (total or partial) to relationships. + 7. Check that all entities have primary keys identified. +- +- # Mapping ER Models to Tables in the Relational Model + - Once you have you ER diagram, you now need to convert it into a set of tables so that you can implement it in a relational mode. + - Example: As MySQL tables using `CREATE TABLES` commands. + - This stage is called **Mapping ER Models to Tables in the Relational Model**, and it specifies a set of rules that must be followed in a certain order. + - The rules specified here are based on **Chen's Notation**. + - ## Steps + - [1] For each entity, create a table $R$ that includes all the **simple** attributes of the entity. + - [2] For strong entities, choose a key attribute as the primary key of the table. + - [3] For weak entities $R$, include the primary key attributes of the table that corresponds to the owner as foreign key attributes of $R$. + - The primary key of $R$ is a combination of the primary key of the owner and the partial key of the weak entity type. + - The relationship of the weak & strong entity is generally taken care of by this step. + - [4] For each **binary** $1:1$ relationship, identify entites $S$ & $T$ that participate in the relation. + - If applicable, choose the entity that has **total participation** in the relation. + - Include the primary key of the other relation as the foreign key in this table. + - Include any attributes of the relationship as attributes of the chosen table. + - If both entities have total participation in the relationship, you can choose either one for the foreign key and proceed as above, or you can map two entities & their associated attributes & relationship attributes into one table. + - [5] For each **binary** $1:N$ relationship, identify the table $S$ that represents the $N$ side and the table $T$ that represents the $1$ side. + - Include the primary key of table $T$ as a foreign key in $S$ such that each entity on the $N$ side is related to at most one entity instance on the $1$ side. + - Include any attributes of the relationship as attributes of $S$. + - For recursive $1:N$ relationships, choose the primary key of the table and include it as a foreign key in the same table with a different name. + - [6] For each $M:N$ relationship, create a new table $S$ to represent the relationship. + - Include the primary keys of the tables that represent the participating entity types as foreign keys in $S$ - their combination will form the primary key of $S$. + - Also include in $S$ any attributes of the relationship. + - For a recursive $M:N$ relationship, both foreign keys come from the same table (give different names to each) and become the new primary key. + - [7] For each **multi-valued attribute** $A$ of an entity $S$, create a new table $R$. + - $R$ will include: + - An attribute corresponding to $A$. + - The primary key of $S$, which will be a foreign key in $R$. Call this $K$. + - The primary key of $R$ is a combination of $A$ & $K$. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-11-23T12_15_36.860Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-11-23T12_15_36.860Z.Desktop.md new file mode 100644 index 00000000..9d94082e --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Entity Relationship Models/2022-11-23T12_15_36.860Z.Desktop.md @@ -0,0 +1,340 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Aggregate Clauses, Group By, & Having Clauses]] +- **Next Topic:** [[Joins & Union Queries]] +- **Relevant Slides:** ![ER-models.pdf](../assets/ER-models_1664888140370_0.pdf) +- +- What are **Data Models**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:34:07.942Z + card-last-score:: 1 + - **Data models** are concepts to describe the structure of a database. + - They comprise: + - High level or logical models; + - Representational / Implementational data models; + - Physical data models. + - Data models allow for database abstraction. +- What are **ER Models**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:34:30.174Z + card-last-score:: 1 + - **Entity Relationship Models** are a top-down approach to database design that provide a way to *model the data* that will be stored in a system. The models are then used to *create tables* in the relational model. + - ER Models are used to identify: + - [1] The important data to be stored in a database called **entities**. + - [2] The **relationships** between the entities. + - [3] The **attributes** of entities. + - [4] The **constraints** of relationships & entities. +- +- # ER Model Notation + - A number of different notations can be used to represent the same model. + - Chen Notation. + - IE Crow's Foot Notation. + - UML. + - Integrated Definition 1. Extended (IDEF1X). + - + - The original (Chen) notation uses diamonds, rectangles, and elipses. + - This is easier to hand-draw, so it is useful in an exam situation. + - It is less implementation-oriented than other notations. +- +- # Some Definitions + collapsed:: true + - ## Entities + collapsed:: true + - What is an **entity type**? #card + card-last-interval:: 3.05 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T21:24:38.127Z + card-last-reviewed:: 2022-11-14T20:24:38.127Z + card-last-score:: 5 + - An **entity type** is a collection of *entity instances* that share common properties or charcteristics. + - It is a group of objects, with the same properties, which are identified as having an independent existence. + - ![image.png](../assets/image_1664889325926_0.png) + - What is an **entity instance**? #card + card-last-interval:: 11.34 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-26T00:47:05.851Z + card-last-reviewed:: 2022-11-14T16:47:05.851Z + card-last-score:: 5 + - An **entity instance** or **entity occurrence** is a single, uniquely identifiable occurrence of an entity type (e.g., row in a table). + - ![image.png](../assets/image_1664889343582_0.png) + - ## Relationships + - What is a **relationship type**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:30:24.202Z + card-last-score:: 1 + collapsed:: true + - A **relationship type** is a set of meaningful relationships among entity types. + - **Chen's Notation:** A diamond shape is used to name the relationship. 1 and M/N are used for the "1" and "many" sides respectively. + - **Crow's Foot Notation:** The titular "crow's foot" is used as the representation of "many", and one line is used for the representation of "1". + - ![image.png](../assets/image_1664890907305_0.png) + - **Example:** employee "works for" department. department "has" employee. + - ![image.png](../assets/image_1664889461415_0.png) + - What is a **relationship instance**? #card + collapsed:: true + card-last-interval:: 29.04 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-10T11:35:42.874Z + card-last-reviewed:: 2022-11-11T11:35:42.874Z + card-last-score:: 3 + - A **relationship instance** or **relationship occurrence** is ==a uniquely identifiable association which includes one occurrence from each participating entity type==; reading left to right and right to left. + - **Example:** + - Left-to-Right: John Smith "works for" Research department. + - Right-to-Left: Research department "has" John Smith. + - What is the **degree** of a relationship type? #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-22T01:30:24.968Z + card-last-reviewed:: 2022-11-11T11:30:24.969Z + card-last-score:: 5 + collapsed:: true + - Whenever an attribute of one entity type refers to another entity type, some relationship exists. + - The **degree** of a relationship type is ^^the number of participating entity types.^^ + - Relationship types may have certain constraints. + - What is the **Cardinality Ratio**? #card + collapsed:: true + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-20T15:15:43.390Z + card-last-reviewed:: 2022-11-17T20:15:43.391Z + card-last-score:: 5 + - The **cardinality ratio** specifies ^^the number of relationship instances that an entity can participate in.^^ + - The possible cardinality ratios for binary relationship types are: + - $1:1$, "one to one" - at most one instance of entity $A$ is associated with one instance of entity $B$. + - $1:N$, "one to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$. + - $M:N$, "many to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$, and for one instance of entity $B$, there are 0 or more instances of entity $A$. + - + - ### Structural Constraints on Relationships + - Often, we may know the min & max of the cardinalities. + - Example: limit on the number of books that can be borrowed from a library. + - What are **Structural Constraints**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-25T13:06:19.301Z + card-last-reviewed:: 2022-11-21T13:06:19.301Z + card-last-score:: 3 + - **Structural constraints** specify a pair of integer numbers *(min, max)* for each entity participating in a relationship. + - Examples: (0, 1), (1, 1), (1, N)., (1, 7). + - + - ## Attributes + collapsed:: true + - What are **Attributes**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:08.122Z + card-last-score:: 1 + collapsed:: true + - **Attributes** are ^^named property^^ or characteristic of an entity. + - Each entity has a set of attributes associated with it. + - Several types of attributes exist: + - Key. + - Composite. + - Derived. + - Multi-valued. + - **Notation:** + - **Chen:** An oval enclosing the name of the attribute. + - ![image.png](../assets/image_1664889737597_0.png) + - **Crow:** Listed in the entity box. + - ![image.png](../assets/image_1664889775094_0.png) + - What are **key attributes**? #card + card-last-interval:: 5.52 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-20T04:37:24.678Z + card-last-reviewed:: 2022-11-14T16:37:24.678Z + card-last-score:: 3 + collapsed:: true + - Each entity type must have an attribute or set of attributes that ^^uniquely identifies^^ each instance from other instances of the same type. + - A **candidate key** is an attribute (or combination of attributes) that uniquely identifies each instance of an entity type. + - A **primary key (PK)** is a candidate key that has been selected as the identifier for an entity type. + - What is a **composite attribute**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:46:49.892Z + card-last-score:: 1 + collapsed:: true + - A **composite attribute** is an attribute that is composed of several atomic (simple) attributes. + - If the composite attribute is referenced as a whole only, then there is no need to subdivide it into component attributes, otherwise you should divide it: + - ![image.png](../assets/image_1664890028074_0.png) + - What is a **derived attribute**? #card + card-last-interval:: 31.05 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-15T21:12:18.376Z + card-last-reviewed:: 2022-11-14T20:12:18.376Z + card-last-score:: 5 + collapsed:: true + - A **derived attribute** is an attribute whose values can be determined from another attribute. + - For Chen's notation, the notation is a *dotted oval*. + - ![image.png](../assets/image_1664890167971_0.png) + - For Crow's Foot notation, derived attributes can be represented by enclosing the attribute in [square brackets], e.g., [age]. + - What is a **multi-valued attribute**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:04.379Z + card-last-score:: 1 + - A **multi-valued attribute** is an attribute which has lower & upper bounds on the number of values for an individual entry. + - For Chen's notation, multi-valued attributes can be represented by one oval inside another. + - ![image.png](../assets/image_1664890277505_0.png) + - For Crow's Foot notation, multi-valued attributes can be represented by enclosing the attribute in {curly brackets}. + - E.g., {skills}. + - +- +- # Total & Partial Participation + collapsed:: true + - What is **Total Participation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T20:26:04.052Z + card-last-reviewed:: 2022-11-14T20:26:04.052Z + card-last-score:: 3 + - **Total Participation** (Mandatory Participation): ==All instances of an entity must participate in the relationship==, i.e., *every* entity instance in one set *must* be related to an entity instance in the second via the relationship. + - For example, the entity "Student" must have **total participation** in the relationship "enrolled" with the entity "Course" - each student *must* be enrolled in a course. + - What is **Partial Participation**? #card + card-last-interval:: 7.45 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-22T02:28:50.125Z + card-last-reviewed:: 2022-11-14T16:28:50.125Z + card-last-score:: 3 + - **Partial Participation** (Optional Participation): Some subset of instances of an entity will participate in the relationship, but not all, i.e., *some* entity instances in one set are related to an entity instance in the second via the relationship. + - For example, the entity "Course" would have a **partial participation** in the relationship "enrolled" with the entity "Student" - a course might not have any students enrolled in it. + - ## Chen's Notation for Participation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:06:29.661Z + card-last-score:: 1 + - In both total & partial participation, the line(s) are drawn from the participating entity to the relationship (the diamond) to indicate the participation of that instance from that entity in the relationship, + - **Total Participation:** Double parallel lines. + - ![image.png](../assets/image_1664968200677_0.png) + - **Partial Participation:** Single line. + - ![image.png](../assets/image_1664968259633_0.png) + - Examples: + - ![image.png](../assets/image_1664968387620_0.png) + - + - ## Crow's Foot Notation for Participation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:01.789Z + card-last-score:: 1 + collapsed:: true + - Use the idea of **Ordinality / Optionality**. + - **Optionality of 0:** If an entity $A$ has partial participation in a relationship to entity $B$, then $A$ is associated with 0 or more instances of entity $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 0** is a **bar**: $|$ + - **Optionality of 1:** If an entity $A$ has full participation in a relationship to entity $B$, then $A$ is associated with at least 1 or more of $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 1** is a **circle** or "o": $\bigcirc$ + - [And vice-versa.] + - In Crow's Foot notation, there is no diamond, so there is always a direct relationship line between the entities. + - The **optionality sign** is drawn on this line. + - The optionality drawn beside some entity $A$ refers to how an instance of entity $B$ is related to entity $A$. + - That is, whether $B$ can be involved partially (0) or not (1). + - Example in *Right to Left* Relationships: + - ![image.png](../assets/image_1664969067049_0.png) + - + - ## Note on Weak Entities + - **Note:** ^^A **weak entity type** always has a total participation constraint.^^ + - We need to show the "identifying relationship". + - ![image.png](../assets/image_1664969168410_0.png) + - ### Chen's Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:34:03.316Z + card-last-score:: 1 + collapsed:: true + - **Entity:** Double rectangle. + - **Relationship:** Double diamond. + - The weak entity has full participation in the relationship. + - ![image.png](../assets/image_1664969357926_0.png) + - + - ### Crow's Foot Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T19:36:10.883Z + card-last-score:: 1 + collapsed:: true + - In Crow's Foot Notation, we can represent the **weak entity** as a normal entity, but do not choose any attributes as the primary key. + - For an attribute that partially determines the entity instances, we choose the "required" option. + - We usually represent the relationship between entities using a **solid line**. + - This indicates that it is an "identifying" relationship. + - ![image.png](../assets/image_1664969566989_0.png) + - + - + - In general, with entities, there may be two valid solutions, one with a weak entity, and one without. + - There is not a huge difficulty if you do not identify weak entities in a solution so long as all the entities have **primary attributes**. + - It may be slightly non-optimal in terms of introducing an additional primary key that is not needed, but this is not a huge problem for us at this level. +- +- # Entities or Multi-Valued Attributes? + collapsed:: true + - Sometimes, it may not be clear whether something should be modelled as a multi-valued attribute or an entity. + - Both may be equally correct, as long as you represent all the information that you are asked to. + - You may see (very little) difference between the two approaches if you map either approach to tables in a database. +- +- # Steps to Create an ER Model + - 1. Identify entities. + 2. Identify relationships between entities. + 3. Draw entities & relationships. + 4. Add attributes to entities (& relationships, if appropriate). + 5. Add cardinalities to relationships. + 6. Add participation constraints (total or partial) to relationships. + 7. Check that all entities have primary keys identified. +- +- # Mapping ER Models to Tables in the Relational Model + - Once you have you ER diagram, you now need to convert it into a set of tables so that you can implement it in a relational mode. + - Example: As MySQL tables using `CREATE TABLES` commands. + - This stage is called **Mapping ER Models to Tables in the Relational Model**, and it specifies a set of rules that must be followed in a certain order. + - The rules specified here are based on **Chen's Notation**. + - ## Steps + - [1] For each entity, create a table $R$ that includes all the **simple** attributes of the entity. + - [2] For strong entities, choose a key attribute as the primary key of the table. + - [3] For weak entities $R$, include the primary key attributes of the table that corresponds to the owner as foreign key attributes of $R$. + - The primary key of $R$ is a combination of the primary key of the owner and the partial key of the weak entity type. + - The relationship of the weak & strong entity is generally taken care of by this step. + - [4] For each **binary** $1:1$ relationship, identify entites $S$ & $T$ that participate in the relation. + - If applicable, choose the entity that has **total participation** in the relation. + - Include the primary key of the other relation as the foreign key in this table. + - Include any attributes of the relationship as attributes of the chosen table. + - If both entities have total participation in the relationship, you can choose either one for the foreign key and proceed as above, or you can map two entities & their associated attributes & relationship attributes into one table. + - [5] For each **binary** $1:N$ relationship, identify the table $S$ that represents the $N$ side and the table $T$ that represents the $1$ side. + - Include the primary key of table $T$ as a foreign key in $S$ such that each entity on the $N$ side is related to at most one entity instance on the $1$ side. + - Include any attributes of the relationship as attributes of $S$. + - For recursive $1:N$ relationships, choose the primary key of the table and include it as a foreign key in the same table with a different name. + - [6] For each $M:N$ relationship, create a new table $S$ to represent the relationship. + - Include the primary keys of the tables that represent the participating entity types as foreign keys in $S$ - their combination will form the primary key of $S$. + - Also include in $S$ any attributes of the relationship. + - For a recursive $M:N$ relationship, both foreign keys come from the same table (give different names to each) and become the new primary key. + - [7] For each **multi-valued attribute** $A$ of an entity $S$, create a new table $R$. + - $R$ will include: + - An attribute corresponding to $A$. + - The primary key of $S$, which will be a foreign key in $R$. Call this $K$. + - The primary key of $R$ is a combination of $A$ & $K$. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-09-30T10_01_42.260Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-09-30T10_01_42.260Z.Desktop.md new file mode 100644 index 00000000..166e2cbd --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-09-30T10_01_42.260Z.Desktop.md @@ -0,0 +1,282 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** null +- **Next Topic:** [[Sampling]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662914505882_0.pdf) +- +- ## What is / are Statistics? + collapsed:: true + - What is a **statistic**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:13:39.783Z + card-last-reviewed:: 2022-09-18T15:13:39.783Z + card-last-score:: 5 + - A **statistic** is any quantity computed from sample data. + - What is the **Science of Statistics**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:19:14.009Z + card-last-reviewed:: 2022-09-18T15:19:14.009Z + card-last-score:: 5 + - The collecting, classifying, summarising, organising, analysing, estimation, and interpretation of information. + - What is the **role of statistics**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-22T15:13:48.388Z + card-last-reviewed:: 2022-09-18T15:13:48.389Z + card-last-score:: 3 + - The field of statistics deals with the collection, presentation, analysis, and use of data to: + - make decisions + - solve problems + - design products & processes + - Statistics is the ^^science of uncertainty.^^ + - What is the **role of probability** in statistics? + - **Probability** provides the framework for the study & application of statistics. +- +- ## Types of Statistics + collapsed:: true + - What is **Descriptive Statistics**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:50:07.222Z + card-last-score:: 1 + - **Descriptive Statistics** is the science of summarising data, both numerically & graphically. + - The analysis methods applicable depends on the variable being measured and the research questions that you are trying to answer. + - What is **Inferential Statistics**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:22:10.041Z + card-last-reviewed:: 2022-09-18T15:22:10.041Z + card-last-score:: 5 + - **Inferential Statistics** is the science of using the ^^information in your sample^^ to ^^infer^^ something about the population of statistics. +- +- ## Important Terms + collapsed:: true + - What is an **experimental unit**? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:17:06.471Z + card-last-reviewed:: 2022-09-18T15:17:06.471Z + card-last-score:: 5 + - An **experimental unit** / individual is a single object upon which we collect data. e.g., a person, thing, transaction, or event. + - What is a **population**? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:19:17.126Z + card-last-reviewed:: 2022-09-18T15:19:17.126Z + card-last-score:: 5 + - A **population** is a ^^collection of experimental units^^ / individuals that we are interested in studying. + - What is a **sample**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:22:15.918Z + card-last-reviewed:: 2022-09-18T15:22:15.919Z + card-last-score:: 5 + - A **sample** is a subset of experimental units from the population. + - What is a **variable**? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:19:22.661Z + card-last-reviewed:: 2022-09-18T15:19:22.662Z + card-last-score:: 5 + - A **variable** is a ^^characteristic or property of an individual experimental unit^^. + - A variable may be measured, or more generally "observed" on each individual. + - What is **Qualitative Data**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-28T15:29:26.142Z + card-last-reviewed:: 2022-09-19T18:29:26.143Z + card-last-score:: 3 + - **Qualitative Data** is data which can be classified into categories. + - Two types of Qualitative Data: + - **Ordinal:** ordered qualitative data - e.g., a grade, + - **Nominal:** unordered qualitative data - e.g., a gender, a method of payment + - What is **Quantitative Data**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:18:00.114Z + card-last-reviewed:: 2022-09-18T15:18:00.114Z + card-last-score:: 5 + - **Quantitative Data** is data in the form of counts or numbers - it cannot be classified into categories. + - Two types of Quantitative Data: + - **Discrete:** non-divisible, single points of data, **counts** - e.g., number of texts sent + - **Continuous:** measurements that, if placed on a number scale, can be placed in an infinite number of spaces between two whole numbers - e.g., age, rent, temperature +- +- Pie charts make data very difficult to interpret & read - **don't use them**. +- +- ## Numerical Summaries + - ### Central Tendency + - What is a **numerical summary**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-09-29T22:46:04.368Z + card-last-reviewed:: 2022-09-19T17:46:04.368Z + card-last-score:: 5 + - A **numerical summary** is a way of summarising categorical data using a frequency count or percentage. + - How do you calculate the **sample mean**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:23:34.273Z + card-last-reviewed:: 2022-09-18T15:23:34.273Z + card-last-score:: 5 + - Suppose that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$. The **sample mean**, denoted by $\bar{x}$, is: + - $$\bar{x} = \sum_{i=1}^{n}=\frac{x_i}{n}=\frac{x_1+x_2+...+x_n}{n}$$ + :LOGBOOK: + CLOCK: [2022-09-12 Mon 18:35:39] + :END: + - ^^The sample mean is **sensitive** to extreme values^^ + - How do you calculate the **sample median**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T18:21:34.890Z + card-last-reviewed:: 2022-09-19T18:21:34.891Z + card-last-score:: 3 + - Given that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$, arranged in **increasing order** of magnitude, the **sample median** is: + - $$\bar{x} = \begin{cases}x_{(n+1)/2}, & \text{if $n$ is odd},\\ \frac{1}{2}(x_{n/2} + x_{n/2+1}), &\text{if $n$ is even.} \\ \end{cases}$$ + - ^^The sample median is **not** sensitive to extreme values.^^ + - What is the **mode**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:43:51.718Z + card-last-reviewed:: 2022-09-19T17:43:51.719Z + card-last-score:: 5 + - The **mode** is the most frequent observation in a dataset. + - ### Variation + collapsed:: true + - What is the **range** of a sample? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:45:55.511Z + card-last-reviewed:: 2022-09-19T17:45:55.512Z + card-last-score:: 5 + - The **range** of a sample is the **maximum** - **minimum**. + - The range is a ^^poor measure of spread and is badly affected by outliers.^^ + - The range is also ^^badly affected by outliers.^^ + - #### Interquartile Range + - What is the **interquartile range** of a sample? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:50:39.855Z + card-last-reviewed:: 2022-09-18T14:50:39.855Z + card-last-score:: 3 + - The **interquartile range** is the middle 50% of the data. + - Therefore, it is ^^robust to outliers.^^ + - To calculate the **IQR**, first split the data in 4 quarters and subtract the value at $Q_3$ from the value at $Q_1$. + - $$IQR=Q_3-Q_1$$ + - ![image.png](../assets/image_1663005545935_0.png) + - #### Tukey's Method for IQR + - There are also many other methods for calculating IQR. + - 1. Put data in **ascending** order. + 2. The **lower quartile** ($Q_1$)is the **median** of the **lower** 50% of the data, including the median. + 3. The **upper quartile** ($Q_3$) is the **median** of the **upper** 50% of the data, including the median. + - #### Standard Deviation #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:52:05.581Z + card-last-reviewed:: 2022-09-18T14:52:05.582Z + card-last-score:: 3 + - A common measure of spread is the **standard deviation**, which takes into account how far *each* data value is from the mean. + - A **deviation** is the distance of a datapoint from the mean. + - Since the sum of all the deviations would be zero, we square each deviation and find an average of the deviations called the **variance**. + - We then get the positive square root of the **sample variance** to get the the **sample standard deviation**, which is preferable to the sample variance, as the sample variance is in squared units. + - The **standard deviation** is ^^sensitive to outliers.^^ + - How do you calculate the **sample variance**, and hence, the **sample standard deviation**? #card + card-last-interval:: 4.55 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-24T06:47:06.630Z + card-last-reviewed:: 2022-09-19T17:47:06.630Z + card-last-score:: 5 + - The **sample variance**, denoted by $s^2$, is given by: + - $$s^2=\sum_{i=1}^{n} \frac{(x_i - \bar{x})^2}{n-1}$$ + - The **sample standard deviation**, denoted by $s$, is the **positive square root** of $s^2$, that is: + - $$s=\sqrt{s^2}$$ + - ### Shape + - #### Graphical Summaries of Data + - Depends on the variable of interest. + - **Categorical** response variable -> bar chart or pie chart. + - **Categorical** response variable ^^with an explanatory variable^^ -> grouped bar chart. + - **Continuous** response variable -> histogram, boxplot, densit plot. + - **Continuous** response variable ^^with an explanatory variable^^ -> grouped boxplot. + - + - What is a **boxplot**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:30:23.072Z + card-last-score:: 1 + - A **boxplot** is a graphical display showing centre, spread, shape, & outliers. + - It displays the **5-number summary**: + - *min, Q1, median, Q3, max* + - ![image.png](../assets/image_1663236210540_0.png) + - What is a **histogram**? #card + card-last-interval:: 9.55 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-29T07:30:03.396Z + card-last-reviewed:: 2022-09-19T18:30:03.397Z + card-last-score:: 5 + - **Histograms** are useful to show the general shape, location, and spread of data values. + - Representation by *area*. + - **Construction** + - Determine range of data *minimum, maximum*. + - Split into convenient intervals or *bins*. + - Usually use 5 to 15 intervals. + - Count number of observations in each interval - *frequency*. + - When talking about the shape of the data, make sure to address the following 3 questions: + - 1. Does the histogram have a single, central hump or several well-separated bumps? + 2. Is the histogram or boxplot **symmetric**, or more spread out in one direction (skewed)? + 3. Any unusual features? e.g.., outliers, spikes. + - ![image.png](../assets/image_1663237164731_0.png) + - ![image.png](../assets/image_1663237245117_0.png) + - + - #### Explanatory & Response Variables + collapsed:: true + - To identify the **explanatory** variable in a pair of variables, identify which of the two is suspected of affecting the other and plan an appropriate analysis + - explanatory variable -might effect-> response variable + - continent -might effect-> life expectancy. +- +- ## R Markdown + - What is **R Markdown**? #card + card-last-interval:: 3.02 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T18:30:58.574Z + card-last-reviewed:: 2022-09-19T18:30:58.574Z + card-last-score:: 3 + - **R Markdown** is a file format for making ^^dynamic documents in R.^^ + - R Markdown is written in Markdown and contains chunks of embedded R code (data management, summaries, graphics, analysis & interpretation) all in one document. + - Documents can be **knitted** to HTML, PDF, Word, and many other formats. + - ### Key Benefits of R Markdown + - Makes it easy to produce statistical reports with code, analysis, outputs, and write-up all in one place. + - Perfect for reproducible research. + - Easy to convert to different document types. + - ### Structure + - R Markdown contains **three** types of content: + - A **YAML Header**. + - Text, formatted with Markdown. + - Code chunks. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-10-07T08_33_33.315Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-10-07T08_33_33.315Z.Desktop.md new file mode 100644 index 00000000..14a0fc5f --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-10-07T08_33_33.315Z.Desktop.md @@ -0,0 +1,282 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** null +- **Next Topic:** [[Sampling]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662914505882_0.pdf) +- +- ## What is / are Statistics? + collapsed:: true + - What is a **statistic**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T18:29:35.052Z + card-last-reviewed:: 2022-10-01T13:29:35.052Z + card-last-score:: 5 + - A **statistic** is any quantity computed from sample data. + - What is the **Science of Statistics**? + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:37:15.281Z + card-last-reviewed:: 2022-10-03T11:37:15.284Z + card-last-score:: 5 + - The collecting, classifying, summarising, organising, analysing, estimation, and interpretation of information. + - What is the **role of statistics**? + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-09T18:10:56.000Z + card-last-reviewed:: 2022-09-30T12:10:56.000Z + card-last-score:: 5 + - The field of statistics deals with the collection, presentation, analysis, and use of data to: + - make decisions + - solve problems + - design products & processes + - Statistics is the ^^science of uncertainty.^^ + - What is the **role of probability** in statistics? + - **Probability** provides the framework for the study & application of statistics. +- +- ## Types of Statistics + collapsed:: true + - What is **Descriptive Statistics**? #card + card-last-interval:: 3.57 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-09T22:41:41.392Z + card-last-reviewed:: 2022-10-06T09:41:41.392Z + card-last-score:: 5 + - **Descriptive Statistics** is the science of summarising data, both numerically & graphically. + - The analysis methods applicable depends on the variable being measured and the research questions that you are trying to answer. + - What is **Inferential Statistics**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:40:04.081Z + card-last-reviewed:: 2022-10-03T11:40:04.082Z + card-last-score:: 5 + - **Inferential Statistics** is the science of using the ^^information in your sample^^ to ^^infer^^ something about the population of statistics. +- +- ## Important Terms + collapsed:: true + - What is an **experimental unit**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:30:26.549Z + card-last-reviewed:: 2022-10-01T17:30:26.549Z + card-last-score:: 5 + - An **experimental unit** / individual is a single object upon which we collect data. e.g., a person, thing, transaction, or event. + - What is a **population**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:17.248Z + card-last-reviewed:: 2022-10-03T11:37:17.248Z + card-last-score:: 5 + - A **population** is a ^^collection of experimental units^^ / individuals that we are interested in studying. + - What is a **sample**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:40:07.495Z + card-last-reviewed:: 2022-10-03T11:40:07.496Z + card-last-score:: 5 + - A **sample** is a subset of experimental units from the population. + - What is a **variable**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T12:12:49.015Z + card-last-score:: 1 + - A **variable** is a ^^characteristic or property of an individual experimental unit^^. + - A variable may be measured, or more generally "observed" on each individual. + - What is **Qualitative Data**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:02:29.057Z + card-last-score:: 1 + - **Qualitative Data** is data which can be classified into categories. + - Two types of Qualitative Data: + - **Ordinal:** ordered qualitative data - e.g., a grade, + - **Nominal:** unordered qualitative data - e.g., a gender, a method of payment + - What is **Quantitative Data**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-01T23:00:00.000Z + card-last-reviewed:: 2022-10-01T17:34:22.458Z + card-last-score:: 1 + - **Quantitative Data** is data in the form of counts or numbers - it cannot be classified into categories. + - Two types of Quantitative Data: + - **Discrete:** non-divisible, single points of data, **counts** - e.g., number of texts sent + - **Continuous:** measurements that, if placed on a number scale, can be placed in an infinite number of spaces between two whole numbers - e.g., age, rent, temperature +- +- Pie charts make data very difficult to interpret & read - **don't use them**. +- +- ## Numerical Summaries + - ### Central Tendency + - What is a **numerical summary**? #card + card-last-score:: 5 + card-repeats:: 4 + card-next-schedule:: 2022-11-01T19:10:35.516Z + card-last-interval:: 28.3 + card-ease-factor:: 2.66 + card-last-reviewed:: 2022-10-04T12:10:35.517Z + - A **numerical summary** is a way of summarising categorical data using a frequency count or percentage. + - How do you calculate the **sample mean**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:40:44.143Z + card-last-reviewed:: 2022-10-03T11:40:44.143Z + card-last-score:: 5 + - Suppose that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$. The **sample mean**, denoted by $\bar{x}$, is: + - $$\bar{x} = \sum_{i=1}^{n}=\frac{x_i}{n}=\frac{x_1+x_2+...+x_n}{n}$$ + :LOGBOOK: + CLOCK: [2022-09-12 Mon 18:35:39] + :END: + - ^^The sample mean is **sensitive** to extreme values^^ + - How do you calculate the **sample median**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-03T23:00:00.000Z + card-last-reviewed:: 2022-10-03T11:44:18.197Z + card-last-score:: 1 + - Given that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$, arranged in **increasing order** of magnitude, the **sample median** is: + - $$\bar{x} = \begin{cases}x_{(n+1)/2}, & \text{if $n$ is odd},\\ \frac{1}{2}(x_{n/2} + x_{n/2+1}), &\text{if $n$ is even.} \\ \end{cases}$$ + - ^^The sample median is **not** sensitive to extreme values.^^ + - What is the **mode**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:24.167Z + card-last-reviewed:: 2022-10-03T11:42:24.168Z + card-last-score:: 5 + - The **mode** is the most frequent observation in a dataset. + - ### Variation + collapsed:: true + - What is the **range** of a sample? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:37.291Z + card-last-reviewed:: 2022-10-03T11:42:37.291Z + card-last-score:: 5 + - The **range** of a sample is the **maximum** - **minimum**. + - The range is a ^^poor measure of spread and is badly affected by outliers.^^ + - The range is also ^^badly affected by outliers.^^ + - #### Interquartile Range + - What is the **interquartile range** of a sample? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T09:13:50.901Z + card-last-reviewed:: 2022-09-30T12:13:50.901Z + card-last-score:: 3 + - The **interquartile range** is the middle 50% of the data. + - Therefore, it is ^^robust to outliers.^^ + - To calculate the **IQR**, first split the data in 4 quarters and subtract the value at $Q_3$ from the value at $Q_1$. + - $$IQR=Q_3-Q_1$$ + - ![image.png](../assets/image_1663005545935_0.png) + - #### Tukey's Method for IQR + - There are also many other methods for calculating IQR. + - 1. Put data in **ascending** order. + 2. The **lower quartile** ($Q_1$)is the **median** of the **lower** 50% of the data, including the median. + 3. The **upper quartile** ($Q_3$) is the **median** of the **upper** 50% of the data, including the median. + - #### Standard Deviation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:28:57.649Z + card-last-score:: 1 + - A common measure of spread is the **standard deviation**, which takes into account how far *each* data value is from the mean. + - A **deviation** is the distance of a datapoint from the mean. + - Since the sum of all the deviations would be zero, we square each deviation and find an average of the deviations called the **variance**. + - We then get the positive square root of the **sample variance** to get the the **sample standard deviation**, which is preferable to the sample variance, as the sample variance is in squared units. + - The **standard deviation** is ^^sensitive to outliers.^^ + - How do you calculate the **sample variance**, and hence, the **sample standard deviation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-03T23:00:00.000Z + card-last-reviewed:: 2022-10-03T14:31:20.377Z + card-last-score:: 1 + - The **sample variance**, denoted by $s^2$, is given by: + - $$s^2=\sum_{i=1}^{n} \frac{(x_i - \bar{x})^2}{n-1}$$ + - The **sample standard deviation**, denoted by $s$, is the **positive square root** of $s^2$, that is: + - $$s=\sqrt{s^2}$$ + - ### Shape + - #### Graphical Summaries of Data + - Depends on the variable of interest. + - **Categorical** response variable -> bar chart or pie chart. + - **Categorical** response variable ^^with an explanatory variable^^ -> grouped bar chart. + - **Continuous** response variable -> histogram, boxplot, densit plot. + - **Continuous** response variable ^^with an explanatory variable^^ -> grouped boxplot. + - + - What is a **boxplot**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T09:21:43.026Z + card-last-score:: 1 + - A **boxplot** is a graphical display showing centre, spread, shape, & outliers. + - It displays the **5-number summary**: + - *min, Q1, median, Q3, max* + - ![image.png](../assets/image_1663236210540_0.png) + - What is a **histogram**? #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-15T07:07:49.634Z + card-last-reviewed:: 2022-10-04T12:07:49.636Z + card-last-score:: 5 + - **Histograms** are useful to show the general shape, location, and spread of data values. + - Representation by *area*. + - **Construction** + - Determine range of data *minimum, maximum*. + - Split into convenient intervals or *bins*. + - Usually use 5 to 15 intervals. + - Count number of observations in each interval - *frequency*. + - When talking about the shape of the data, make sure to address the following 3 questions: + - 1. Does the histogram have a single, central hump or several well-separated bumps? + 2. Is the histogram or boxplot **symmetric**, or more spread out in one direction (skewed)? + 3. Any unusual features? e.g.., outliers, spikes. + - ![image.png](../assets/image_1663237164731_0.png) + - ![image.png](../assets/image_1663237245117_0.png) + - + - #### Explanatory & Response Variables + collapsed:: true + - To identify the **explanatory** variable in a pair of variables, identify which of the two is suspected of affecting the other and plan an appropriate analysis + - explanatory variable -might effect-> response variable + - continent -might effect-> life expectancy. +- +- ## R Markdown + - What is **R Markdown**? #card + card-last-interval:: 10.56 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-14T00:41:15.771Z + card-last-reviewed:: 2022-10-03T11:41:15.771Z + card-last-score:: 5 + - **R Markdown** is a file format for making ^^dynamic documents in R.^^ + - R Markdown is written in Markdown and contains chunks of embedded R code (data management, summaries, graphics, analysis & interpretation) all in one document. + - Documents can be **knitted** to HTML, PDF, Word, and many other formats. + - ### Key Benefits of R Markdown + - Makes it easy to produce statistical reports with code, analysis, outputs, and write-up all in one place. + - Perfect for reproducible research. + - Easy to convert to different document types. + - ### Structure + - R Markdown contains **three** types of content: + - A **YAML Header**. + - Text, formatted with Markdown. + - Code chunks. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-10-10T11_59_52.387Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-10-10T11_59_52.387Z.Desktop.md new file mode 100644 index 00000000..ad60fadb --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-10-10T11_59_52.387Z.Desktop.md @@ -0,0 +1,282 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** null +- **Next Topic:** [[Sampling]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662914505882_0.pdf) +- +- ## What is / are Statistics? + collapsed:: true + - What is a **statistic**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T18:29:35.052Z + card-last-reviewed:: 2022-10-01T13:29:35.052Z + card-last-score:: 5 + - A **statistic** is any quantity computed from sample data. + - What is the **Science of Statistics**? + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:37:15.281Z + card-last-reviewed:: 2022-10-03T11:37:15.284Z + card-last-score:: 5 + - The collecting, classifying, summarising, organising, analysing, estimation, and interpretation of information. + - What is the **role of statistics**? + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-09T18:10:56.000Z + card-last-reviewed:: 2022-09-30T12:10:56.000Z + card-last-score:: 5 + - The field of statistics deals with the collection, presentation, analysis, and use of data to: + - make decisions + - solve problems + - design products & processes + - Statistics is the ^^science of uncertainty.^^ + - What is the **role of probability** in statistics? + - **Probability** provides the framework for the study & application of statistics. +- +- ## Types of Statistics + collapsed:: true + - What is **Descriptive Statistics**? #card + card-last-interval:: 3.57 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-09T22:41:41.392Z + card-last-reviewed:: 2022-10-06T09:41:41.392Z + card-last-score:: 5 + - **Descriptive Statistics** is the science of summarising data, both numerically & graphically. + - The analysis methods applicable depends on the variable being measured and the research questions that you are trying to answer. + - What is **Inferential Statistics**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:40:04.081Z + card-last-reviewed:: 2022-10-03T11:40:04.082Z + card-last-score:: 5 + - **Inferential Statistics** is the science of using the ^^information in your sample^^ to ^^infer^^ something about the population of statistics. +- +- ## Important Terms + collapsed:: true + - What is an **experimental unit**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:30:26.549Z + card-last-reviewed:: 2022-10-01T17:30:26.549Z + card-last-score:: 5 + - An **experimental unit** / individual is a single object upon which we collect data. e.g., a person, thing, transaction, or event. + - What is a **population**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:17.248Z + card-last-reviewed:: 2022-10-03T11:37:17.248Z + card-last-score:: 5 + - A **population** is a ^^collection of experimental units^^ / individuals that we are interested in studying. + - What is a **sample**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:40:07.495Z + card-last-reviewed:: 2022-10-03T11:40:07.496Z + card-last-score:: 5 + - A **sample** is a subset of experimental units from the population. + - What is a **variable**? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T10:31:37.141Z + card-last-reviewed:: 2022-10-07T10:31:37.142Z + card-last-score:: 5 + - A **variable** is a ^^characteristic or property of an individual experimental unit^^. + - A variable may be measured, or more generally "observed" on each individual. + - What is **Qualitative Data**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-11T10:46:08.943Z + card-last-reviewed:: 2022-10-07T10:46:08.944Z + card-last-score:: 5 + - **Qualitative Data** is data which can be classified into categories. + - Two types of Qualitative Data: + - **Ordinal:** ordered qualitative data - e.g., a grade, + - **Nominal:** unordered qualitative data - e.g., a gender, a method of payment + - What is **Quantitative Data**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:29:23.069Z + card-last-reviewed:: 2022-10-06T17:29:23.069Z + card-last-score:: 5 + - **Quantitative Data** is data in the form of counts or numbers - it cannot be classified into categories. + - Two types of Quantitative Data: + - **Discrete:** non-divisible, single points of data, **counts** - e.g., number of texts sent + - **Continuous:** measurements that, if placed on a number scale, can be placed in an infinite number of spaces between two whole numbers - e.g., age, rent, temperature +- +- Pie charts make data very difficult to interpret & read - **don't use them**. +- +- ## Numerical Summaries + - ### Central Tendency + - What is a **numerical summary**? #card + card-last-score:: 5 + card-repeats:: 4 + card-next-schedule:: 2022-11-01T19:10:35.516Z + card-last-interval:: 28.3 + card-ease-factor:: 2.66 + card-last-reviewed:: 2022-10-04T12:10:35.517Z + - A **numerical summary** is a way of summarising categorical data using a frequency count or percentage. + - How do you calculate the **sample mean**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:40:44.143Z + card-last-reviewed:: 2022-10-03T11:40:44.143Z + card-last-score:: 5 + - Suppose that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$. The **sample mean**, denoted by $\bar{x}$, is: + - $$\bar{x} = \sum_{i=1}^{n}=\frac{x_i}{n}=\frac{x_1+x_2+...+x_n}{n}$$ + :LOGBOOK: + CLOCK: [2022-09-12 Mon 18:35:39] + :END: + - ^^The sample mean is **sensitive** to extreme values^^ + - How do you calculate the **sample median**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:40:49.278Z + card-last-score:: 1 + - Given that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$, arranged in **increasing order** of magnitude, the **sample median** is: + - $$\bar{x} = \begin{cases}x_{(n+1)/2}, & \text{if $n$ is odd},\\ \frac{1}{2}(x_{n/2} + x_{n/2+1}), &\text{if $n$ is even.} \\ \end{cases}$$ + - ^^The sample median is **not** sensitive to extreme values.^^ + - What is the **mode**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:24.167Z + card-last-reviewed:: 2022-10-03T11:42:24.168Z + card-last-score:: 5 + - The **mode** is the most frequent observation in a dataset. + - ### Variation + collapsed:: true + - What is the **range** of a sample? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:37.291Z + card-last-reviewed:: 2022-10-03T11:42:37.291Z + card-last-score:: 5 + - The **range** of a sample is the **maximum** - **minimum**. + - The range is a ^^poor measure of spread and is badly affected by outliers.^^ + - The range is also ^^badly affected by outliers.^^ + - #### Interquartile Range + - What is the **interquartile range** of a sample? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T09:13:50.901Z + card-last-reviewed:: 2022-09-30T12:13:50.901Z + card-last-score:: 3 + - The **interquartile range** is the middle 50% of the data. + - Therefore, it is ^^robust to outliers.^^ + - To calculate the **IQR**, first split the data in 4 quarters and subtract the value at $Q_3$ from the value at $Q_1$. + - $$IQR=Q_3-Q_1$$ + - ![image.png](../assets/image_1663005545935_0.png) + - #### Tukey's Method for IQR + - There are also many other methods for calculating IQR. + - 1. Put data in **ascending** order. + 2. The **lower quartile** ($Q_1$)is the **median** of the **lower** 50% of the data, including the median. + 3. The **upper quartile** ($Q_3$) is the **median** of the **upper** 50% of the data, including the median. + - #### Standard Deviation #card + card-last-interval:: 3.33 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T22:24:00.798Z + card-last-reviewed:: 2022-10-08T15:24:00.798Z + card-last-score:: 5 + - A common measure of spread is the **standard deviation**, which takes into account how far *each* data value is from the mean. + - A **deviation** is the distance of a datapoint from the mean. + - Since the sum of all the deviations would be zero, we square each deviation and find an average of the deviations called the **variance**. + - We then get the positive square root of the **sample variance** to get the the **sample standard deviation**, which is preferable to the sample variance, as the sample variance is in squared units. + - The **standard deviation** is ^^sensitive to outliers.^^ + - How do you calculate the **sample variance**, and hence, the **sample standard deviation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:46:54.597Z + card-last-reviewed:: 2022-10-07T10:46:54.597Z + card-last-score:: 5 + - The **sample variance**, denoted by $s^2$, is given by: + - $$s^2=\sum_{i=1}^{n} \frac{(x_i - \bar{x})^2}{n-1}$$ + - The **sample standard deviation**, denoted by $s$, is the **positive square root** of $s^2$, that is: + - $$s=\sqrt{s^2}$$ + - ### Shape + - #### Graphical Summaries of Data + - Depends on the variable of interest. + - **Categorical** response variable -> bar chart or pie chart. + - **Categorical** response variable ^^with an explanatory variable^^ -> grouped bar chart. + - **Continuous** response variable -> histogram, boxplot, densit plot. + - **Continuous** response variable ^^with an explanatory variable^^ -> grouped boxplot. + - + - What is a **boxplot**? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T10:00:03.971Z + card-last-reviewed:: 2022-10-08T15:00:03.971Z + card-last-score:: 5 + - A **boxplot** is a graphical display showing centre, spread, shape, & outliers. + - It displays the **5-number summary**: + - *min, Q1, median, Q3, max* + - ![image.png](../assets/image_1663236210540_0.png) + - What is a **histogram**? #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-15T07:07:49.634Z + card-last-reviewed:: 2022-10-04T12:07:49.636Z + card-last-score:: 5 + - **Histograms** are useful to show the general shape, location, and spread of data values. + - Representation by *area*. + - **Construction** + - Determine range of data *minimum, maximum*. + - Split into convenient intervals or *bins*. + - Usually use 5 to 15 intervals. + - Count number of observations in each interval - *frequency*. + - When talking about the shape of the data, make sure to address the following 3 questions: + - 1. Does the histogram have a single, central hump or several well-separated bumps? + 2. Is the histogram or boxplot **symmetric**, or more spread out in one direction (skewed)? + 3. Any unusual features? e.g.., outliers, spikes. + - ![image.png](../assets/image_1663237164731_0.png) + - ![image.png](../assets/image_1663237245117_0.png) + - + - #### Explanatory & Response Variables + collapsed:: true + - To identify the **explanatory** variable in a pair of variables, identify which of the two is suspected of affecting the other and plan an appropriate analysis + - explanatory variable -might effect-> response variable + - continent -might effect-> life expectancy. +- +- ## R Markdown + - What is **R Markdown**? #card + card-last-interval:: 10.56 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-14T00:41:15.771Z + card-last-reviewed:: 2022-10-03T11:41:15.771Z + card-last-score:: 5 + - **R Markdown** is a file format for making ^^dynamic documents in R.^^ + - R Markdown is written in Markdown and contains chunks of embedded R code (data management, summaries, graphics, analysis & interpretation) all in one document. + - Documents can be **knitted** to HTML, PDF, Word, and many other formats. + - ### Key Benefits of R Markdown + - Makes it easy to produce statistical reports with code, analysis, outputs, and write-up all in one place. + - Perfect for reproducible research. + - Easy to convert to different document types. + - ### Structure + - R Markdown contains **three** types of content: + - A **YAML Header**. + - Text, formatted with Markdown. + - Code chunks. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-10-20T09_05_57.950Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-10-20T09_05_57.950Z.Desktop.md new file mode 100644 index 00000000..80102c96 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-10-20T09_05_57.950Z.Desktop.md @@ -0,0 +1,282 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** null +- **Next Topic:** [[Sampling]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662914505882_0.pdf) +- +- ## What is / are Statistics? + collapsed:: true + - What is a **statistic**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T18:29:35.052Z + card-last-reviewed:: 2022-10-01T13:29:35.052Z + card-last-score:: 5 + - A **statistic** is any quantity computed from sample data. + - What is the **Science of Statistics**? + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:37:15.281Z + card-last-reviewed:: 2022-10-03T11:37:15.284Z + card-last-score:: 5 + - The collecting, classifying, summarising, organising, analysing, estimation, and interpretation of information. + - What is the **role of statistics**? + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-09T18:10:56.000Z + card-last-reviewed:: 2022-09-30T12:10:56.000Z + card-last-score:: 5 + - The field of statistics deals with the collection, presentation, analysis, and use of data to: + - make decisions + - solve problems + - design products & processes + - Statistics is the ^^science of uncertainty.^^ + - What is the **role of probability** in statistics? + - **Probability** provides the framework for the study & application of statistics. +- +- ## Types of Statistics + collapsed:: true + - What is **Descriptive Statistics**? #card + card-last-interval:: 7.48 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T22:46:14.707Z + card-last-reviewed:: 2022-10-10T11:46:14.707Z + card-last-score:: 3 + - **Descriptive Statistics** is the science of summarising data, both numerically & graphically. + - The analysis methods applicable depends on the variable being measured and the research questions that you are trying to answer. + - What is **Inferential Statistics**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:40:04.081Z + card-last-reviewed:: 2022-10-03T11:40:04.082Z + card-last-score:: 5 + - **Inferential Statistics** is the science of using the ^^information in your sample^^ to ^^infer^^ something about the population of statistics. +- +- ## Important Terms + collapsed:: true + - What is an **experimental unit**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:30:26.549Z + card-last-reviewed:: 2022-10-01T17:30:26.549Z + card-last-score:: 5 + - An **experimental unit** / individual is a single object upon which we collect data. e.g., a person, thing, transaction, or event. + - What is a **population**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:17.248Z + card-last-reviewed:: 2022-10-03T11:37:17.248Z + card-last-score:: 5 + - A **population** is a ^^collection of experimental units^^ / individuals that we are interested in studying. + - What is a **sample**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:40:07.495Z + card-last-reviewed:: 2022-10-03T11:40:07.496Z + card-last-score:: 5 + - A **sample** is a subset of experimental units from the population. + - What is a **variable**? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T10:31:37.141Z + card-last-reviewed:: 2022-10-07T10:31:37.142Z + card-last-score:: 5 + - A **variable** is a ^^characteristic or property of an individual experimental unit^^. + - A variable may be measured, or more generally "observed" on each individual. + - What is **Qualitative Data**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-11T10:46:08.943Z + card-last-reviewed:: 2022-10-07T10:46:08.944Z + card-last-score:: 5 + - **Qualitative Data** is data which can be classified into categories. + - Two types of Qualitative Data: + - **Ordinal:** ordered qualitative data - e.g., a grade, + - **Nominal:** unordered qualitative data - e.g., a gender, a method of payment + - What is **Quantitative Data**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:29:23.069Z + card-last-reviewed:: 2022-10-06T17:29:23.069Z + card-last-score:: 5 + - **Quantitative Data** is data in the form of counts or numbers - it cannot be classified into categories. + - Two types of Quantitative Data: + - **Discrete:** non-divisible, single points of data, **counts** - e.g., number of texts sent + - **Continuous:** measurements that, if placed on a number scale, can be placed in an infinite number of spaces between two whole numbers - e.g., age, rent, temperature +- +- Pie charts make data very difficult to interpret & read - **don't use them**. +- +- ## Numerical Summaries + - ### Central Tendency + - What is a **numerical summary**? #card + card-last-score:: 5 + card-repeats:: 4 + card-next-schedule:: 2022-11-01T19:10:35.516Z + card-last-interval:: 28.3 + card-ease-factor:: 2.66 + card-last-reviewed:: 2022-10-04T12:10:35.517Z + - A **numerical summary** is a way of summarising categorical data using a frequency count or percentage. + - How do you calculate the **sample mean**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:40:44.143Z + card-last-reviewed:: 2022-10-03T11:40:44.143Z + card-last-score:: 5 + - Suppose that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$. The **sample mean**, denoted by $\bar{x}$, is: + - $$\bar{x} = \sum_{i=1}^{n}=\frac{x_i}{n}=\frac{x_1+x_2+...+x_n}{n}$$ + :LOGBOOK: + CLOCK: [2022-09-12 Mon 18:35:39] + :END: + - ^^The sample mean is **sensitive** to extreme values^^ + - How do you calculate the **sample median**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-14T11:40:32.583Z + card-last-reviewed:: 2022-10-10T11:40:32.584Z + card-last-score:: 3 + - Given that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$, arranged in **increasing order** of magnitude, the **sample median** is: + - $$\bar{x} = \begin{cases}x_{(n+1)/2}, & \text{if $n$ is odd},\\ \frac{1}{2}(x_{n/2} + x_{n/2+1}), &\text{if $n$ is even.} \\ \end{cases}$$ + - ^^The sample median is **not** sensitive to extreme values.^^ + - What is the **mode**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:24.167Z + card-last-reviewed:: 2022-10-03T11:42:24.168Z + card-last-score:: 5 + - The **mode** is the most frequent observation in a dataset. + - ### Variation + collapsed:: true + - What is the **range** of a sample? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:37.291Z + card-last-reviewed:: 2022-10-03T11:42:37.291Z + card-last-score:: 5 + - The **range** of a sample is the **maximum** - **minimum**. + - The range is a ^^poor measure of spread and is badly affected by outliers.^^ + - The range is also ^^badly affected by outliers.^^ + - #### Interquartile Range + - What is the **interquartile range** of a sample? #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-27T18:43:51.820Z + card-last-reviewed:: 2022-10-10T11:43:51.821Z + card-last-score:: 3 + - The **interquartile range** is the middle 50% of the data. + - Therefore, it is ^^robust to outliers.^^ + - To calculate the **IQR**, first split the data in 4 quarters and subtract the value at $Q_3$ from the value at $Q_1$. + - $$IQR=Q_3-Q_1$$ + - ![image.png](../assets/image_1663005545935_0.png) + - #### Tukey's Method for IQR + - There are also many other methods for calculating IQR. + - 1. Put data in **ascending** order. + 2. The **lower quartile** ($Q_1$)is the **median** of the **lower** 50% of the data, including the median. + 3. The **upper quartile** ($Q_3$) is the **median** of the **upper** 50% of the data, including the median. + - #### Standard Deviation #card + card-last-interval:: 3.33 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T22:24:00.798Z + card-last-reviewed:: 2022-10-08T15:24:00.798Z + card-last-score:: 5 + - A common measure of spread is the **standard deviation**, which takes into account how far *each* data value is from the mean. + - A **deviation** is the distance of a datapoint from the mean. + - Since the sum of all the deviations would be zero, we square each deviation and find an average of the deviations called the **variance**. + - We then get the positive square root of the **sample variance** to get the the **sample standard deviation**, which is preferable to the sample variance, as the sample variance is in squared units. + - The **standard deviation** is ^^sensitive to outliers.^^ + - How do you calculate the **sample variance**, and hence, the **sample standard deviation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:46:54.597Z + card-last-reviewed:: 2022-10-07T10:46:54.597Z + card-last-score:: 5 + - The **sample variance**, denoted by $s^2$, is given by: + - $$s^2=\sum_{i=1}^{n} \frac{(x_i - \bar{x})^2}{n-1}$$ + - The **sample standard deviation**, denoted by $s$, is the **positive square root** of $s^2$, that is: + - $$s=\sqrt{s^2}$$ + - ### Shape + - #### Graphical Summaries of Data + - Depends on the variable of interest. + - **Categorical** response variable -> bar chart or pie chart. + - **Categorical** response variable ^^with an explanatory variable^^ -> grouped bar chart. + - **Continuous** response variable -> histogram, boxplot, densit plot. + - **Continuous** response variable ^^with an explanatory variable^^ -> grouped boxplot. + - + - What is a **boxplot**? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T10:00:03.971Z + card-last-reviewed:: 2022-10-08T15:00:03.971Z + card-last-score:: 5 + - A **boxplot** is a graphical display showing centre, spread, shape, & outliers. + - It displays the **5-number summary**: + - *min, Q1, median, Q3, max* + - ![image.png](../assets/image_1663236210540_0.png) + - What is a **histogram**? #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-15T07:07:49.634Z + card-last-reviewed:: 2022-10-04T12:07:49.636Z + card-last-score:: 5 + - **Histograms** are useful to show the general shape, location, and spread of data values. + - Representation by *area*. + - **Construction** + - Determine range of data *minimum, maximum*. + - Split into convenient intervals or *bins*. + - Usually use 5 to 15 intervals. + - Count number of observations in each interval - *frequency*. + - When talking about the shape of the data, make sure to address the following 3 questions: + - 1. Does the histogram have a single, central hump or several well-separated bumps? + 2. Is the histogram or boxplot **symmetric**, or more spread out in one direction (skewed)? + 3. Any unusual features? e.g.., outliers, spikes. + - ![image.png](../assets/image_1663237164731_0.png) + - ![image.png](../assets/image_1663237245117_0.png) + - + - #### Explanatory & Response Variables + collapsed:: true + - To identify the **explanatory** variable in a pair of variables, identify which of the two is suspected of affecting the other and plan an appropriate analysis + - explanatory variable -might effect-> response variable + - continent -might effect-> life expectancy. +- +- ## R Markdown + - What is **R Markdown**? #card + card-last-interval:: 10.56 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-14T00:41:15.771Z + card-last-reviewed:: 2022-10-03T11:41:15.771Z + card-last-score:: 5 + - **R Markdown** is a file format for making ^^dynamic documents in R.^^ + - R Markdown is written in Markdown and contains chunks of embedded R code (data management, summaries, graphics, analysis & interpretation) all in one document. + - Documents can be **knitted** to HTML, PDF, Word, and many other formats. + - ### Key Benefits of R Markdown + - Makes it easy to produce statistical reports with code, analysis, outputs, and write-up all in one place. + - Perfect for reproducible research. + - Easy to convert to different document types. + - ### Structure + - R Markdown contains **three** types of content: + - A **YAML Header**. + - Text, formatted with Markdown. + - Code chunks. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-11-23T09_22_44.500Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-11-23T09_22_44.500Z.Desktop.md new file mode 100644 index 00000000..0bf61872 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-11-23T09_22_44.500Z.Desktop.md @@ -0,0 +1,282 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** null +- **Next Topic:** [[Sampling]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662914505882_0.pdf) +- +- ## What is / are Statistics? + collapsed:: true + - What is a **statistic**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:39:44.342Z + card-last-score:: 1 + - A **statistic** is any quantity computed from sample data. + - What is the **Science of Statistics**? + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:37:15.281Z + card-last-reviewed:: 2022-10-03T11:37:15.284Z + card-last-score:: 5 + - The collecting, classifying, summarising, organising, analysing, estimation, and interpretation of information. + - What is the **role of statistics**? + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-09T18:10:56.000Z + card-last-reviewed:: 2022-09-30T12:10:56.000Z + card-last-score:: 5 + - The field of statistics deals with the collection, presentation, analysis, and use of data to: + - make decisions + - solve problems + - design products & processes + - Statistics is the ^^science of uncertainty.^^ + - What is the **role of probability** in statistics? + - **Probability** provides the framework for the study & application of statistics. +- +- ## Types of Statistics + collapsed:: true + - What is **Descriptive Statistics**? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-30T04:36:51.695Z + card-last-reviewed:: 2022-11-18T18:36:51.696Z + card-last-score:: 3 + - **Descriptive Statistics** is the science of summarising data, both numerically & graphically. + - The analysis methods applicable depends on the variable being measured and the research questions that you are trying to answer. + - What is **Inferential Statistics**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:51:33.945Z + card-last-score:: 1 + - **Inferential Statistics** is the science of using the ^^information in your sample^^ to ^^infer^^ something about the population of statistics. +- +- ## Important Terms + collapsed:: true + - What is an **experimental unit**? #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:44:53.701Z + card-last-reviewed:: 2022-11-14T16:44:53.701Z + card-last-score:: 5 + - An **experimental unit** / individual is a single object upon which we collect data. e.g., a person, thing, transaction, or event. + - What is a **population**? #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:49:52.921Z + card-last-reviewed:: 2022-11-14T16:49:52.922Z + card-last-score:: 5 + - A **population** is a ^^collection of experimental units^^ / individuals that we are interested in studying. + - What is a **sample**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:36.002Z + card-last-reviewed:: 2022-11-14T16:51:36.002Z + card-last-score:: 5 + - A **sample** is a subset of experimental units from the population. + - What is a **variable**? #card + collapsed:: true + card-last-interval:: 10.64 + card-repeats:: 3 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-25T07:35:49.776Z + card-last-reviewed:: 2022-11-14T16:35:49.776Z + card-last-score:: 5 + - A **variable** is a ^^characteristic or property of an individual experimental unit^^. + - A variable may be measured, or more generally "observed" on each individual. + - What is **Qualitative Data**? #card + card-last-interval:: 8.72 + card-repeats:: 3 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-11-23T09:37:05.082Z + card-last-reviewed:: 2022-11-14T16:37:05.082Z + card-last-score:: 3 + - **Qualitative Data** is data which can be classified into categories. + - Two types of Qualitative Data: + - **Ordinal:** ordered qualitative data - e.g., a grade, + - **Nominal:** unordered qualitative data - e.g., a gender, a method of payment + - What is **Quantitative Data**? #card + card-last-interval:: 30.47 + card-repeats:: 4 + card-ease-factor:: 2.76 + card-next-schedule:: 2022-12-15T07:21:06.252Z + card-last-reviewed:: 2022-11-14T20:21:06.252Z + card-last-score:: 5 + - **Quantitative Data** is data in the form of counts or numbers - it cannot be classified into categories. + - Two types of Quantitative Data: + - **Discrete:** non-divisible, single points of data, **counts** - e.g., number of texts sent + - **Continuous:** measurements that, if placed on a number scale, can be placed in an infinite number of spaces between two whole numbers - e.g., age, rent, temperature +- +- Pie charts make data very difficult to interpret & read - **don't use them**. +- +- ## Numerical Summaries + - ### Central Tendency + - What is a **numerical summary**? #card + card-last-score:: 5 + card-repeats:: 5 + card-next-schedule:: 2023-02-06T22:21:22.599Z + card-last-interval:: 84.1 + card-ease-factor:: 2.76 + card-last-reviewed:: 2022-11-14T20:21:22.599Z + - A **numerical summary** is a way of summarising categorical data using a frequency count or percentage. + - How do you calculate the **sample mean**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:47:38.996Z + card-last-reviewed:: 2022-11-14T16:47:38.997Z + card-last-score:: 5 + - Suppose that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$. The **sample mean**, denoted by $\bar{x}$, is: + - $$\bar{x} = \sum_{i=1}^{n}\frac{x_i}{n}=\frac{x_1+x_2+...+x_n}{n}$$ + :LOGBOOK: + CLOCK: [2022-09-12 Mon 18:35:39] + :END: + - ^^The sample mean is **sensitive** to extreme values^^ + - How do you calculate the **sample median**? #card + card-last-interval:: 8.72 + card-repeats:: 3 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-11-23T09:49:27.636Z + card-last-reviewed:: 2022-11-14T16:49:27.637Z + card-last-score:: 5 + - Given that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$, arranged in **increasing order** of magnitude, the **sample median** is: + - $$\bar{x} = \begin{cases}x_{(n+1)/2}, & \text{if $n$ is odd},\\ \frac{1}{2}(x_{n/2} + x_{n/2+1}), &\text{if $n$ is even.} \\ \end{cases}$$ + - ^^The sample median is **not** sensitive to extreme values.^^ + - What is the **mode**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:42.814Z + card-last-reviewed:: 2022-11-14T16:51:42.815Z + card-last-score:: 5 + - The **mode** is the most frequent observation in a dataset. + - ### Variation + collapsed:: true + - What is the **range** of a sample? #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:53.283Z + card-last-reviewed:: 2022-11-14T16:51:53.283Z + card-last-score:: 5 + - The **range** of a sample is the **maximum** - **minimum**. + - The range is a ^^poor measure of spread and is badly affected by outliers.^^ + - The range is also ^^badly affected by outliers.^^ + - #### Interquartile Range + - What is the **interquartile range** of a sample? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-26T06:18:35.901Z + card-last-reviewed:: 2022-11-14T20:18:35.901Z + card-last-score:: 5 + - The **interquartile range** is the middle 50% of the data. + - Therefore, it is ^^robust to outliers.^^ + - To calculate the **IQR**, first split the data in 4 quarters and subtract the value at $Q_3$ from the value at $Q_1$. + - $$IQR=Q_3-Q_1$$ + - ![image.png](../assets/image_1663005545935_0.png) + - #### Tukey's Method for IQR + - There are also many other methods for calculating IQR. + - 1. Put data in **ascending** order. + 2. The **lower quartile** ($Q_1$)is the **median** of the **lower** 50% of the data, including the median. + 3. The **upper quartile** ($Q_3$) is the **median** of the **upper** 50% of the data, including the median. + - #### Standard Deviation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:40:52.313Z + card-last-score:: 1 + - A common measure of spread is the **standard deviation**, which takes into account how far *each* data value is from the mean. + - A **deviation** is the distance of a datapoint from the mean. + - Since the sum of all the deviations would be zero, we square each deviation and find an average of the deviations called the **variance**. + - We then get the positive square root of the **sample variance** to get the the **sample standard deviation**, which is preferable to the sample variance, as the sample variance is in squared units. + - The **standard deviation** is ^^sensitive to outliers.^^ + - How do you calculate the **sample variance**, and hence, the **sample standard deviation**? #card + card-last-interval:: 10.97 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-25T15:37:19.443Z + card-last-reviewed:: 2022-11-14T16:37:19.444Z + card-last-score:: 3 + - The **sample variance**, denoted by $s^2$, is given by: + - $$s^2=\sum_{i=1}^{n} \frac{(x_i - \bar{x})^2}{n-1}$$ + - The **sample standard deviation**, denoted by $s$, is the **positive square root** of $s^2$, that is: + - $$s=\sqrt{s^2}$$ + - ### Shape + - #### Graphical Summaries of Data + - Depends on the variable of interest. + - **Categorical** response variable -> bar chart or pie chart. + - **Categorical** response variable ^^with an explanatory variable^^ -> grouped bar chart. + - **Continuous** response variable -> histogram, boxplot, densit plot. + - **Continuous** response variable ^^with an explanatory variable^^ -> grouped boxplot. + - + - What is a **boxplot**? #card + card-last-interval:: 5.52 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-20T04:34:53.491Z + card-last-reviewed:: 2022-11-14T16:34:53.492Z + card-last-score:: 3 + - A **boxplot** is a graphical display showing centre, spread, shape, & outliers. + - It displays the **5-number summary**: + - *min, Q1, median, Q3, max* + - ![image.png](../assets/image_1663236210540_0.png) + - What is a **histogram**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:00:35.072Z + card-last-score:: 1 + - **Histograms** are useful to show the general shape, location, and spread of data values. + - Representation by *area*. + - **Construction** + - Determine range of data *minimum, maximum*. + - Split into convenient intervals or *bins*. + - Usually use 5 to 15 intervals. + - Count number of observations in each interval - *frequency*. + - When talking about the shape of the data, make sure to address the following 3 questions: + - 1. Does the histogram have a single, central hump or several well-separated bumps? + 2. Is the histogram or boxplot **symmetric**, or more spread out in one direction (skewed)? + 3. Any unusual features? e.g.., outliers, spikes. + - ![image.png](../assets/image_1663237164731_0.png) + - ![image.png](../assets/image_1663237245117_0.png) + - + - #### Explanatory & Response Variables + collapsed:: true + - To identify the **explanatory** variable in a pair of variables, identify which of the two is suspected of affecting the other and plan an appropriate analysis + - explanatory variable -might effect-> response variable + - continent -might effect-> life expectancy. +- +- ## R Markdown + - What is **R Markdown**? #card + card-last-interval:: 28.93 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-13T14:49:15.636Z + card-last-reviewed:: 2022-11-14T16:49:15.637Z + card-last-score:: 5 + - **R Markdown** is a file format for making ^^dynamic documents in R.^^ + - R Markdown is written in Markdown and contains chunks of embedded R code (data management, summaries, graphics, analysis & interpretation) all in one document. + - Documents can be **knitted** to HTML, PDF, Word, and many other formats. + - ### Key Benefits of R Markdown + - Makes it easy to produce statistical reports with code, analysis, outputs, and write-up all in one place. + - Perfect for reproducible research. + - Easy to convert to different document types. + - ### Structure + - R Markdown contains **three** types of content: + - A **YAML Header**. + - Text, formatted with Markdown. + - Code chunks. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-11-23T12_15_36.863Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-11-23T12_15_36.863Z.Desktop.md new file mode 100644 index 00000000..0bf61872 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Exploratory Data Analysis/2022-11-23T12_15_36.863Z.Desktop.md @@ -0,0 +1,282 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** null +- **Next Topic:** [[Sampling]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662914505882_0.pdf) +- +- ## What is / are Statistics? + collapsed:: true + - What is a **statistic**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:39:44.342Z + card-last-score:: 1 + - A **statistic** is any quantity computed from sample data. + - What is the **Science of Statistics**? + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:37:15.281Z + card-last-reviewed:: 2022-10-03T11:37:15.284Z + card-last-score:: 5 + - The collecting, classifying, summarising, organising, analysing, estimation, and interpretation of information. + - What is the **role of statistics**? + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-09T18:10:56.000Z + card-last-reviewed:: 2022-09-30T12:10:56.000Z + card-last-score:: 5 + - The field of statistics deals with the collection, presentation, analysis, and use of data to: + - make decisions + - solve problems + - design products & processes + - Statistics is the ^^science of uncertainty.^^ + - What is the **role of probability** in statistics? + - **Probability** provides the framework for the study & application of statistics. +- +- ## Types of Statistics + collapsed:: true + - What is **Descriptive Statistics**? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-30T04:36:51.695Z + card-last-reviewed:: 2022-11-18T18:36:51.696Z + card-last-score:: 3 + - **Descriptive Statistics** is the science of summarising data, both numerically & graphically. + - The analysis methods applicable depends on the variable being measured and the research questions that you are trying to answer. + - What is **Inferential Statistics**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:51:33.945Z + card-last-score:: 1 + - **Inferential Statistics** is the science of using the ^^information in your sample^^ to ^^infer^^ something about the population of statistics. +- +- ## Important Terms + collapsed:: true + - What is an **experimental unit**? #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:44:53.701Z + card-last-reviewed:: 2022-11-14T16:44:53.701Z + card-last-score:: 5 + - An **experimental unit** / individual is a single object upon which we collect data. e.g., a person, thing, transaction, or event. + - What is a **population**? #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:49:52.921Z + card-last-reviewed:: 2022-11-14T16:49:52.922Z + card-last-score:: 5 + - A **population** is a ^^collection of experimental units^^ / individuals that we are interested in studying. + - What is a **sample**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:36.002Z + card-last-reviewed:: 2022-11-14T16:51:36.002Z + card-last-score:: 5 + - A **sample** is a subset of experimental units from the population. + - What is a **variable**? #card + collapsed:: true + card-last-interval:: 10.64 + card-repeats:: 3 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-25T07:35:49.776Z + card-last-reviewed:: 2022-11-14T16:35:49.776Z + card-last-score:: 5 + - A **variable** is a ^^characteristic or property of an individual experimental unit^^. + - A variable may be measured, or more generally "observed" on each individual. + - What is **Qualitative Data**? #card + card-last-interval:: 8.72 + card-repeats:: 3 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-11-23T09:37:05.082Z + card-last-reviewed:: 2022-11-14T16:37:05.082Z + card-last-score:: 3 + - **Qualitative Data** is data which can be classified into categories. + - Two types of Qualitative Data: + - **Ordinal:** ordered qualitative data - e.g., a grade, + - **Nominal:** unordered qualitative data - e.g., a gender, a method of payment + - What is **Quantitative Data**? #card + card-last-interval:: 30.47 + card-repeats:: 4 + card-ease-factor:: 2.76 + card-next-schedule:: 2022-12-15T07:21:06.252Z + card-last-reviewed:: 2022-11-14T20:21:06.252Z + card-last-score:: 5 + - **Quantitative Data** is data in the form of counts or numbers - it cannot be classified into categories. + - Two types of Quantitative Data: + - **Discrete:** non-divisible, single points of data, **counts** - e.g., number of texts sent + - **Continuous:** measurements that, if placed on a number scale, can be placed in an infinite number of spaces between two whole numbers - e.g., age, rent, temperature +- +- Pie charts make data very difficult to interpret & read - **don't use them**. +- +- ## Numerical Summaries + - ### Central Tendency + - What is a **numerical summary**? #card + card-last-score:: 5 + card-repeats:: 5 + card-next-schedule:: 2023-02-06T22:21:22.599Z + card-last-interval:: 84.1 + card-ease-factor:: 2.76 + card-last-reviewed:: 2022-11-14T20:21:22.599Z + - A **numerical summary** is a way of summarising categorical data using a frequency count or percentage. + - How do you calculate the **sample mean**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:47:38.996Z + card-last-reviewed:: 2022-11-14T16:47:38.997Z + card-last-score:: 5 + - Suppose that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$. The **sample mean**, denoted by $\bar{x}$, is: + - $$\bar{x} = \sum_{i=1}^{n}\frac{x_i}{n}=\frac{x_1+x_2+...+x_n}{n}$$ + :LOGBOOK: + CLOCK: [2022-09-12 Mon 18:35:39] + :END: + - ^^The sample mean is **sensitive** to extreme values^^ + - How do you calculate the **sample median**? #card + card-last-interval:: 8.72 + card-repeats:: 3 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-11-23T09:49:27.636Z + card-last-reviewed:: 2022-11-14T16:49:27.637Z + card-last-score:: 5 + - Given that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$, arranged in **increasing order** of magnitude, the **sample median** is: + - $$\bar{x} = \begin{cases}x_{(n+1)/2}, & \text{if $n$ is odd},\\ \frac{1}{2}(x_{n/2} + x_{n/2+1}), &\text{if $n$ is even.} \\ \end{cases}$$ + - ^^The sample median is **not** sensitive to extreme values.^^ + - What is the **mode**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:42.814Z + card-last-reviewed:: 2022-11-14T16:51:42.815Z + card-last-score:: 5 + - The **mode** is the most frequent observation in a dataset. + - ### Variation + collapsed:: true + - What is the **range** of a sample? #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:53.283Z + card-last-reviewed:: 2022-11-14T16:51:53.283Z + card-last-score:: 5 + - The **range** of a sample is the **maximum** - **minimum**. + - The range is a ^^poor measure of spread and is badly affected by outliers.^^ + - The range is also ^^badly affected by outliers.^^ + - #### Interquartile Range + - What is the **interquartile range** of a sample? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-26T06:18:35.901Z + card-last-reviewed:: 2022-11-14T20:18:35.901Z + card-last-score:: 5 + - The **interquartile range** is the middle 50% of the data. + - Therefore, it is ^^robust to outliers.^^ + - To calculate the **IQR**, first split the data in 4 quarters and subtract the value at $Q_3$ from the value at $Q_1$. + - $$IQR=Q_3-Q_1$$ + - ![image.png](../assets/image_1663005545935_0.png) + - #### Tukey's Method for IQR + - There are also many other methods for calculating IQR. + - 1. Put data in **ascending** order. + 2. The **lower quartile** ($Q_1$)is the **median** of the **lower** 50% of the data, including the median. + 3. The **upper quartile** ($Q_3$) is the **median** of the **upper** 50% of the data, including the median. + - #### Standard Deviation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:40:52.313Z + card-last-score:: 1 + - A common measure of spread is the **standard deviation**, which takes into account how far *each* data value is from the mean. + - A **deviation** is the distance of a datapoint from the mean. + - Since the sum of all the deviations would be zero, we square each deviation and find an average of the deviations called the **variance**. + - We then get the positive square root of the **sample variance** to get the the **sample standard deviation**, which is preferable to the sample variance, as the sample variance is in squared units. + - The **standard deviation** is ^^sensitive to outliers.^^ + - How do you calculate the **sample variance**, and hence, the **sample standard deviation**? #card + card-last-interval:: 10.97 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-25T15:37:19.443Z + card-last-reviewed:: 2022-11-14T16:37:19.444Z + card-last-score:: 3 + - The **sample variance**, denoted by $s^2$, is given by: + - $$s^2=\sum_{i=1}^{n} \frac{(x_i - \bar{x})^2}{n-1}$$ + - The **sample standard deviation**, denoted by $s$, is the **positive square root** of $s^2$, that is: + - $$s=\sqrt{s^2}$$ + - ### Shape + - #### Graphical Summaries of Data + - Depends on the variable of interest. + - **Categorical** response variable -> bar chart or pie chart. + - **Categorical** response variable ^^with an explanatory variable^^ -> grouped bar chart. + - **Continuous** response variable -> histogram, boxplot, densit plot. + - **Continuous** response variable ^^with an explanatory variable^^ -> grouped boxplot. + - + - What is a **boxplot**? #card + card-last-interval:: 5.52 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-20T04:34:53.491Z + card-last-reviewed:: 2022-11-14T16:34:53.492Z + card-last-score:: 3 + - A **boxplot** is a graphical display showing centre, spread, shape, & outliers. + - It displays the **5-number summary**: + - *min, Q1, median, Q3, max* + - ![image.png](../assets/image_1663236210540_0.png) + - What is a **histogram**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:00:35.072Z + card-last-score:: 1 + - **Histograms** are useful to show the general shape, location, and spread of data values. + - Representation by *area*. + - **Construction** + - Determine range of data *minimum, maximum*. + - Split into convenient intervals or *bins*. + - Usually use 5 to 15 intervals. + - Count number of observations in each interval - *frequency*. + - When talking about the shape of the data, make sure to address the following 3 questions: + - 1. Does the histogram have a single, central hump or several well-separated bumps? + 2. Is the histogram or boxplot **symmetric**, or more spread out in one direction (skewed)? + 3. Any unusual features? e.g.., outliers, spikes. + - ![image.png](../assets/image_1663237164731_0.png) + - ![image.png](../assets/image_1663237245117_0.png) + - + - #### Explanatory & Response Variables + collapsed:: true + - To identify the **explanatory** variable in a pair of variables, identify which of the two is suspected of affecting the other and plan an appropriate analysis + - explanatory variable -might effect-> response variable + - continent -might effect-> life expectancy. +- +- ## R Markdown + - What is **R Markdown**? #card + card-last-interval:: 28.93 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-13T14:49:15.636Z + card-last-reviewed:: 2022-11-14T16:49:15.637Z + card-last-score:: 5 + - **R Markdown** is a file format for making ^^dynamic documents in R.^^ + - R Markdown is written in Markdown and contains chunks of embedded R code (data management, summaries, graphics, analysis & interpretation) all in one document. + - Documents can be **knitted** to HTML, PDF, Word, and many other formats. + - ### Key Benefits of R Markdown + - Makes it easy to produce statistical reports with code, analysis, outputs, and write-up all in one place. + - Perfect for reproducible research. + - Easy to convert to different document types. + - ### Structure + - R Markdown contains **three** types of content: + - A **YAML Header**. + - Text, formatted with Markdown. + - Code chunks. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-09-30T10_01_42.265Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-09-30T10_01_42.265Z.Desktop.md new file mode 100644 index 00000000..7d655e5b --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-09-30T10_01_42.265Z.Desktop.md @@ -0,0 +1,194 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Introduction to Java]] +- **Next Topic:** [[More Java Code]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663059993088_0.pdf) +- +- What is the **structure of a class**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:29:57.359Z + card-last-score:: 1 + - Every class has the following structure: + - ```java + public class ClassName + { + Fields + Constructors + Methods + } + ``` +- ## Fields + - What are **Fields**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:55:21.827Z + card-last-reviewed:: 2022-09-18T14:55:21.828Z + card-last-score:: 3 + - **Fields**, also known as **instance variables**, store values for an object. + - Fields define the state of an object. + - In BlueJ, use *Inspect* to view the state. + - Some values change frequently, others rarely, or not at all. +- ## Encapsulation + - What is **Encapsulation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T18:22:08.303Z + card-last-reviewed:: 2022-09-19T18:22:08.303Z + card-last-score:: 3 + - In **encapsulation**, the ^^variables of a class will be hidden from other classes^^ and can only be accessed through the methods of their current class. + - This is also known as **data hiding**. + - Why use encapsulation? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T18:23:15.213Z + card-last-reviewed:: 2022-09-19T18:23:15.213Z + card-last-score:: 3 + - In OOP, ^^each object is responsible for its own data.^^ + - This allows an object to have greater control over which data is available to be viewed externally, and how external objects can mutate the object's state. + - ### Encapsulation Type: Private + - What is the effect of making a field **private**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:25:31.450Z + card-last-reviewed:: 2022-09-19T18:25:31.450Z + card-last-score:: 5 + - Making a field **private** encapsulates their values inside their object. + - No external class or object can access a private field. +- +- ## Constructors + - What are **constructors**? #card + card-last-interval:: 3.02 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T18:30:51.722Z + card-last-reviewed:: 2022-09-19T18:30:51.722Z + card-last-score:: 3 + - Constructors: + - Initialise an object. + - Have the same name as their class. + - Have a close association with the fields: + - They contain the initial values stored in the fields. + - They contain the parameter values often used for these. + - What is the point of the keyword `this`? #card + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-09-22T15:21:45.332Z + card-last-interval:: 4 + card-ease-factor:: 2.7 + card-last-reviewed:: 2022-09-18T15:21:45.332Z + - If the input parameter variables in your constructor have the **same name** as your fields, you must use the `this` keyword to distinguish between the two. + - `this` = "belonging to this object". + - E.g., + - ```java + public Bicycle(int speed, int gear, int cadence) + { + this.speed = speed; + this.gear = gear; + this.cadence = cadence; + } + ``` +- +- ## Methods +- What are **methods**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T18:06:15.300Z + card-last-reviewed:: 2022-09-19T18:06:15.300Z + card-last-score:: 3 + - **Methods** implement the *behaviour* of an object. + - They have a consistent structure comprised of a *header* and a *body*. +- ### Accessor Methods + - What are **accessor** methods? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:22:14.771Z + card-last-score:: 1 + - **Accessor** methods provide information about the state of an object. + - An accessor method always returns a type that is **not** `void`. + - An accessor method returns a value (*result*) of the type given in the **header**. + - The method will contain a **return** statement to return the value. +- ### Mutator Methods + - What are **mutator** methods? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:23:53.666Z + card-last-reviewed:: 2022-09-19T18:23:53.666Z + card-last-score:: 3 + - **Mutator** methods alter (*mutate*) the state of an object. + - Achieved through changing the value of one or more fields. + - They typically contain one or more *assignment* statements. + - Often receive parameters. + - ![image.png](../assets/image_1663063179688_0.png) + - ### Mutator Methods: Set + - Each field may have a dedicated **set** mutator method. + - These have a simple, distinctive form: + - **void** return type + - method name related to the field name + - a single formal parameter, with the same type as the type of the field + - a single assignment statement + - A typical "set" method: + - ```java + public void setGear (int number) + { + gear = number; + } + ``` + - ### Protector Mutators + - A set method does not always have to assign unconditionally to the field. + - The parameter may be checked for validity and rejected if innappropriate. + - Mutators thereby protect fields. + - Mutators also support *encapsulation*. + - #### Protecting a Field + - ```java + public void setGear (int gearing) + { + // this conditional statement prevents innapropriate action. + // if protects the "gear" field from values that are too large or too small. + if (gearing >= 1 && gearing <= 18) + { + gear = gearing; + } + else + { + System.out.println("Exceeds maximum gear ratio. Gear not set"); + } + } + ``` +- ### Method Structure + - The **header**: + - The head tells us: + - the *visibility* of the method to objects of other class. + - whether or not the method *returns a result*. + - the *name* of the method. + - whether or not the method takes *parameters*. + - E.g., + - ```java + public int getSpeed() + ``` + - The **body** encloses the method's *statements*. +- +- ## C vs Java + - Unlike C, an OOP program will **not** have a pool of global variables that each method can access. + - Instead, ^^each object has its own data^^, and other objects rely on the *accessor* methods of the object to access the data. +- +- ## Conditional Statements + - Conditional statements in Java have the same format as in C. + - ```java + if (condition) { + do something; + } + else { + do somethingElse; + } + ``` + - ![image.png](../assets/image_1663063508214_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-10-07T08_33_33.319Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-10-07T08_33_33.319Z.Desktop.md new file mode 100644 index 00000000..ba47cbdd --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-10-07T08_33_33.319Z.Desktop.md @@ -0,0 +1,196 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Introduction to Java]] +- **Next Topic:** [[More Java Code]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663059993088_0.pdf) +- +- What is the **structure of a class**? #card + card-last-interval:: 2.3 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-02T16:26:57.406Z + card-last-reviewed:: 2022-09-30T09:26:57.407Z + card-last-score:: 3 + - Every class has the following structure: + - ```java + public class ClassName + { + Fields + Constructors + Methods + } + ``` +- ## Fields + - What are **Fields**? #card + card-last-interval:: 8.76 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-09T06:15:08.025Z + card-last-reviewed:: 2022-09-30T12:15:08.025Z + card-last-score:: 5 + - **Fields**, also known as **instance variables**, store values for an object. + - Fields define the state of an object. + - In BlueJ, use *Inspect* to view the state. + - Some values change frequently, others rarely, or not at all. +- ## Encapsulation + - What is **Encapsulation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-03T23:00:00.000Z + card-last-reviewed:: 2022-10-03T11:44:39.961Z + card-last-score:: 1 + - In **encapsulation**, the ^^variables of a class will be hidden from other classes^^ and can only be accessed through the methods of their current class. + - This is also known as **data hiding**. + - Why use encapsulation? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-08T15:30:57.356Z + card-last-reviewed:: 2022-09-30T08:30:57.357Z + card-last-score:: 3 + - In OOP, ^^each object is responsible for its own data.^^ + - This allows an object to have greater control over which data is available to be viewed externally, and how external objects can mutate the object's state. + - ### Encapsulation Type: Private + - What is the effect of making a field **private**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T13:30:49.649Z + card-last-reviewed:: 2022-09-30T08:30:49.650Z + card-last-score:: 5 + - Making a field **private** encapsulates their values inside their object. + - No external class or object can access a private field. +- +- ## Constructors + - What are **constructors**? #card + card-last-interval:: 10.56 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-14T00:41:02.783Z + card-last-reviewed:: 2022-10-03T11:41:02.784Z + card-last-score:: 5 + - Constructors: + - Initialise an object. + - Have the same name as their class. + - Have a close association with the fields: + - They contain the initial values stored in the fields. + - They contain the parameter values often used for these. + - What is the point of the keyword `this`? #card + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-14T15:39:43.016Z + card-last-interval:: 11.2 + card-ease-factor:: 2.8 + card-last-reviewed:: 2022-10-03T11:39:43.018Z + - The `this` keyword refers to the current object in a method or constructor. + - The most common use of `this` is to distinguish between class attributes & parameters of the same name. + - If the input parameter variables in your constructor have the **same name** as your fields, you must use the `this` keyword to distinguish between the two. + - `this` = "belonging to this object". + - E.g., + - ```java + public Bicycle(int speed, int gear, int cadence) + { + this.speed = speed; + this.gear = gear; + this.cadence = cadence; + } + ``` +- +- ## Methods + - What are **qmethods**? #card + card-last-score:: 3 + card-repeats:: 3 + card-next-schedule:: 2022-10-08T19:10:46.142Z + card-last-interval:: 8.32 + card-ease-factor:: 2.08 + card-last-reviewed:: 2022-09-30T12:10:46.142Z + - **Methods** implement the *behaviour* of an object. + - They have a consistent structure comprised of a *header* and a *body*. + - ### Accessor Methods + - What are **accessor** methods? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-04T09:21:53.359Z + card-last-reviewed:: 2022-09-30T09:21:53.359Z + card-last-score:: 5 + - **Accessor** methods provide information about the state of an object. + - An accessor method always returns a type that is **not** `void`. + - An accessor method returns a value (*result*) of the type given in the **header**. + - The method will contain a **return** statement to return the value. + - ### Mutator Methods + - What are **mutator** methods? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:27:22.160Z + card-last-reviewed:: 2022-10-03T14:27:22.161Z + card-last-score:: 5 + - **Mutator** methods alter (*mutate*) the state of an object. + - Achieved through changing the value of one or more fields. + - They typically contain one or more *assignment* statements. + - Often receive parameters. + - ![image.png](../assets/image_1663063179688_0.png) + - ### Mutator Methods: Set + - Each field may have a dedicated **set** mutator method. + - These have a simple, distinctive form: + - **void** return type + - method name related to the field name + - a single formal parameter, with the same type as the type of the field + - a single assignment statement + - A typical "set" method: + - ```java + public void setGear (int number) + { + gear = number; + } + ``` + - ### Protector Mutators + - A set method does not always have to assign unconditionally to the field. + - The parameter may be checked for validity and rejected if innappropriate. + - Mutators thereby protect fields. + - Mutators also support *encapsulation*. + - #### Protecting a Field + - ```java + public void setGear (int gearing) + { + // this conditional statement prevents innapropriate action. + // if protects the "gear" field from values that are too large or too small. + if (gearing >= 1 && gearing <= 18) + { + gear = gearing; + } + else + { + System.out.println("Exceeds maximum gear ratio. Gear not set"); + } + } + ``` + - ### Method Structure + - The **header**: + - The head tells us: + - the *visibility* of the method to objects of other class. + - whether or not the method *returns a result*. + - the *name* of the method. + - whether or not the method takes *parameters*. + - E.g., + - ```java + public int getSpeed() + ``` + - The **body** encloses the method's *statements*. +- +- ## C vs Java + - Unlike C, an OOP program will **not** have a pool of global variables that each method can access. + - Instead, ^^each object has its own data^^, and other objects rely on the *accessor* methods of the object to access the data. +- +- ## Conditional Statements + - Conditional statements in Java have the same format as in C. + - ```java + if (condition) { + do something; + } + else { + do somethingElse; + } + ``` + - ![image.png](../assets/image_1663063508214_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-10-10T11_59_52.389Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-10-10T11_59_52.389Z.Desktop.md new file mode 100644 index 00000000..0f5220db --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-10-10T11_59_52.389Z.Desktop.md @@ -0,0 +1,196 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Introduction to Java]] +- **Next Topic:** [[More Java Code]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663059993088_0.pdf) +- +- What is the **structure of a class**? #card + card-last-interval:: 9.84 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-16T13:11:17.984Z + card-last-reviewed:: 2022-10-06T17:11:17.985Z + card-last-score:: 5 + - Every class has the following structure: + - ```java + public class ClassName + { + Fields + Constructors + Methods + } + ``` +- ## Fields + - What are **Fields**? #card + card-last-interval:: 8.76 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-09T06:15:08.025Z + card-last-reviewed:: 2022-09-30T12:15:08.025Z + card-last-score:: 5 + - **Fields**, also known as **instance variables**, store values for an object. + - Fields define the state of an object. + - In BlueJ, use *Inspect* to view the state. + - Some values change frequently, others rarely, or not at all. +- ## Encapsulation + - What is **Encapsulation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-11T10:23:51.445Z + card-last-reviewed:: 2022-10-07T10:23:51.446Z + card-last-score:: 5 + - In **encapsulation**, the ^^variables of a class will be hidden from other classes^^ and can only be accessed through the methods of their current class. + - This is also known as **data hiding**. + - Why use encapsulation? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-09T08:51:16.259Z + card-last-score:: 1 + - In OOP, ^^each object is responsible for its own data.^^ + - This allows an object to have greater control over which data is available to be viewed externally, and how external objects can mutate the object's state. + - ### Encapsulation Type: Private + - What is the effect of making a field **private**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T13:30:49.649Z + card-last-reviewed:: 2022-09-30T08:30:49.650Z + card-last-score:: 5 + - Making a field **private** encapsulates their values inside their object. + - No external class or object can access a private field. +- +- ## Constructors + - What are **constructors**? #card + card-last-interval:: 10.56 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-14T00:41:02.783Z + card-last-reviewed:: 2022-10-03T11:41:02.784Z + card-last-score:: 5 + - Constructors: + - Initialise an object. + - Have the same name as their class. + - Have a close association with the fields: + - They contain the initial values stored in the fields. + - They contain the parameter values often used for these. + - What is the point of the keyword `this`? #card + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-14T15:39:43.016Z + card-last-interval:: 11.2 + card-ease-factor:: 2.8 + card-last-reviewed:: 2022-10-03T11:39:43.018Z + - The `this` keyword refers to the current object in a method or constructor. + - The most common use of `this` is to distinguish between class attributes & parameters of the same name. + - If the input parameter variables in your constructor have the **same name** as your fields, you must use the `this` keyword to distinguish between the two. + - `this` = "belonging to this object". + - E.g., + - ```java + public Bicycle(int speed, int gear, int cadence) + { + this.speed = speed; + this.gear = gear; + this.cadence = cadence; + } + ``` +- +- ## Methods + - What are **methods**? #card + card-last-score:: 3 + card-repeats:: 4 + card-next-schedule:: 2022-10-24T09:51:35.296Z + card-last-interval:: 15.05 + card-ease-factor:: 1.94 + card-last-reviewed:: 2022-10-09T08:51:35.296Z + - **Methods** implement the *behaviour* of an object. + - They have a consistent structure comprised of a *header* and a *body*. + - ### Accessor Methods + - What are **accessor** methods? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:19:14.037Z + card-last-reviewed:: 2022-10-07T10:19:14.038Z + card-last-score:: 5 + - **Accessor** methods provide information about the state of an object. + - An accessor method always returns a type that is **not** `void`. + - An accessor method returns a value (*result*) of the type given in the **header**. + - The method will contain a **return** statement to return the value. + - ### Mutator Methods + - What are **mutator** methods? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:27:22.160Z + card-last-reviewed:: 2022-10-03T14:27:22.161Z + card-last-score:: 5 + - **Mutator** methods alter (*mutate*) the state of an object. + - Achieved through changing the value of one or more fields. + - They typically contain one or more *assignment* statements. + - Often receive parameters. + - ![image.png](../assets/image_1663063179688_0.png) + - ### Mutator Methods: Set + - Each field may have a dedicated **set** mutator method. + - These have a simple, distinctive form: + - **void** return type + - method name related to the field name + - a single formal parameter, with the same type as the type of the field + - a single assignment statement + - A typical "set" method: + - ```java + public void setGear (int number) + { + gear = number; + } + ``` + - ### Protector Mutators + - A set method does not always have to assign unconditionally to the field. + - The parameter may be checked for validity and rejected if innappropriate. + - Mutators thereby protect fields. + - Mutators also support *encapsulation*. + - #### Protecting a Field + - ```java + public void setGear (int gearing) + { + // this conditional statement prevents innapropriate action. + // if protects the "gear" field from values that are too large or too small. + if (gearing >= 1 && gearing <= 18) + { + gear = gearing; + } + else + { + System.out.println("Exceeds maximum gear ratio. Gear not set"); + } + } + ``` + - ### Method Structure + - The **header**: + - The head tells us: + - the *visibility* of the method to objects of other class. + - whether or not the method *returns a result*. + - the *name* of the method. + - whether or not the method takes *parameters*. + - E.g., + - ```java + public int getSpeed() + ``` + - The **body** encloses the method's *statements*. +- +- ## C vs Java + - Unlike C, an OOP program will **not** have a pool of global variables that each method can access. + - Instead, ^^each object has its own data^^, and other objects rely on the *accessor* methods of the object to access the data. +- +- ## Conditional Statements + - Conditional statements in Java have the same format as in C. + - ```java + if (condition) { + do something; + } + else { + do somethingElse; + } + ``` + - ![image.png](../assets/image_1663063508214_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-10-20T09_05_57.955Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-10-20T09_05_57.955Z.Desktop.md new file mode 100644 index 00000000..b1441a52 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-10-20T09_05_57.955Z.Desktop.md @@ -0,0 +1,196 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Introduction to Java]] +- **Next Topic:** [[More Java Code]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663059993088_0.pdf) +- +- What is the **structure of a class**? #card + card-last-interval:: 9.84 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-16T13:11:17.984Z + card-last-reviewed:: 2022-10-06T17:11:17.985Z + card-last-score:: 5 + - Every class has the following structure: + - ```java + public class ClassName + { + Fields + Constructors + Methods + } + ``` +- ## Fields + - What are **Fields**? #card + card-last-interval:: 27.13 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-06T14:43:03.193Z + card-last-reviewed:: 2022-10-10T11:43:03.194Z + card-last-score:: 5 + - **Fields**, also known as **instance variables**, store values for an object. + - Fields define the state of an object. + - In BlueJ, use *Inspect* to view the state. + - Some values change frequently, others rarely, or not at all. +- ## Encapsulation + - What is **Encapsulation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-11T10:23:51.445Z + card-last-reviewed:: 2022-10-07T10:23:51.446Z + card-last-score:: 5 + - In **encapsulation**, the ^^variables of a class will be hidden from other classes^^ and can only be accessed through the methods of their current class. + - This is also known as **data hiding**. + - Why use encapsulation? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-09T08:51:16.259Z + card-last-score:: 1 + - In OOP, ^^each object is responsible for its own data.^^ + - This allows an object to have greater control over which data is available to be viewed externally, and how external objects can mutate the object's state. + - ### Encapsulation Type: Private + - What is the effect of making a field **private**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T13:30:49.649Z + card-last-reviewed:: 2022-09-30T08:30:49.650Z + card-last-score:: 5 + - Making a field **private** encapsulates their values inside their object. + - No external class or object can access a private field. +- +- ## Constructors + - What are **constructors**? #card + card-last-interval:: 10.56 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-14T00:41:02.783Z + card-last-reviewed:: 2022-10-03T11:41:02.784Z + card-last-score:: 5 + - Constructors: + - Initialise an object. + - Have the same name as their class. + - Have a close association with the fields: + - They contain the initial values stored in the fields. + - They contain the parameter values often used for these. + - What is the point of the keyword `this`? #card + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-14T15:39:43.016Z + card-last-interval:: 11.2 + card-ease-factor:: 2.8 + card-last-reviewed:: 2022-10-03T11:39:43.018Z + - The `this` keyword refers to the current object in a method or constructor. + - The most common use of `this` is to distinguish between class attributes & parameters of the same name. + - If the input parameter variables in your constructor have the **same name** as your fields, you must use the `this` keyword to distinguish between the two. + - `this` = "belonging to this object". + - E.g., + - ```java + public Bicycle(int speed, int gear, int cadence) + { + this.speed = speed; + this.gear = gear; + this.cadence = cadence; + } + ``` +- +- ## Methods + - What are **methods**? #card + card-last-score:: 3 + card-repeats:: 4 + card-next-schedule:: 2022-10-24T09:51:35.296Z + card-last-interval:: 15.05 + card-ease-factor:: 1.94 + card-last-reviewed:: 2022-10-09T08:51:35.296Z + - **Methods** implement the *behaviour* of an object. + - They have a consistent structure comprised of a *header* and a *body*. + - ### Accessor Methods + - What are **accessor** methods? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:19:14.037Z + card-last-reviewed:: 2022-10-07T10:19:14.038Z + card-last-score:: 5 + - **Accessor** methods provide information about the state of an object. + - An accessor method always returns a type that is **not** `void`. + - An accessor method returns a value (*result*) of the type given in the **header**. + - The method will contain a **return** statement to return the value. + - ### Mutator Methods + - What are **mutator** methods? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:27:22.160Z + card-last-reviewed:: 2022-10-03T14:27:22.161Z + card-last-score:: 5 + - **Mutator** methods alter (*mutate*) the state of an object. + - Achieved through changing the value of one or more fields. + - They typically contain one or more *assignment* statements. + - Often receive parameters. + - ![image.png](../assets/image_1663063179688_0.png) + - ### Mutator Methods: Set + - Each field may have a dedicated **set** mutator method. + - These have a simple, distinctive form: + - **void** return type + - method name related to the field name + - a single formal parameter, with the same type as the type of the field + - a single assignment statement + - A typical "set" method: + - ```java + public void setGear (int number) + { + gear = number; + } + ``` + - ### Protector Mutators + - A set method does not always have to assign unconditionally to the field. + - The parameter may be checked for validity and rejected if innappropriate. + - Mutators thereby protect fields. + - Mutators also support *encapsulation*. + - #### Protecting a Field + - ```java + public void setGear (int gearing) + { + // this conditional statement prevents innapropriate action. + // if protects the "gear" field from values that are too large or too small. + if (gearing >= 1 && gearing <= 18) + { + gear = gearing; + } + else + { + System.out.println("Exceeds maximum gear ratio. Gear not set"); + } + } + ``` + - ### Method Structure + - The **header**: + - The head tells us: + - the *visibility* of the method to objects of other class. + - whether or not the method *returns a result*. + - the *name* of the method. + - whether or not the method takes *parameters*. + - E.g., + - ```java + public int getSpeed() + ``` + - The **body** encloses the method's *statements*. +- +- ## C vs Java + - Unlike C, an OOP program will **not** have a pool of global variables that each method can access. + - Instead, ^^each object has its own data^^, and other objects rely on the *accessor* methods of the object to access the data. +- +- ## Conditional Statements + - Conditional statements in Java have the same format as in C. + - ```java + if (condition) { + do something; + } + else { + do somethingElse; + } + ``` + - ![image.png](../assets/image_1663063508214_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-11-09T13_03_58.109Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-11-09T13_03_58.109Z.Desktop.md new file mode 100644 index 00000000..1588092b --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-11-09T13_03_58.109Z.Desktop.md @@ -0,0 +1,196 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Introduction to Java]] +- **Next Topic:** [[More Java Code]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663059993088_0.pdf) +- +- What is the **structure of a class**? #card + card-last-interval:: 9.84 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-16T13:11:17.984Z + card-last-reviewed:: 2022-10-06T17:11:17.985Z + card-last-score:: 5 + - Every class has the following structure: + - ```java + public class ClassName + { + Fields + Constructors + Methods + } + ``` +- ## Fields + - What are **Fields**? #card + card-last-interval:: 27.13 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-06T14:43:03.193Z + card-last-reviewed:: 2022-10-10T11:43:03.194Z + card-last-score:: 5 + - **Fields**, also known as **instance variables**, store values for an object. + - Fields define the state of an object. + - In BlueJ, use *Inspect* to view the state. + - Some values change frequently, others rarely, or not at all. +- ## Encapsulation + - What is **Encapsulation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-11T10:23:51.445Z + card-last-reviewed:: 2022-10-07T10:23:51.446Z + card-last-score:: 5 + - In **encapsulation**, the ^^variables of a class will be hidden from other classes^^ and can only be accessed through the methods of their current class. + - This is also known as **data hiding**. + - Why use encapsulation? #card + card-last-interval:: 9.12 + card-repeats:: 3 + card-ease-factor:: 2.28 + card-next-schedule:: 2022-10-29T10:28:34.075Z + card-last-reviewed:: 2022-10-20T08:28:34.075Z + card-last-score:: 5 + - In OOP, ^^each object is responsible for its own data.^^ + - This allows an object to have greater control over which data is available to be viewed externally, and how external objects can mutate the object's state. + - ### Encapsulation Type: Private + - What is the effect of making a field **private**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:33:20.443Z + card-last-reviewed:: 2022-10-20T08:33:20.443Z + card-last-score:: 5 + - Making a field **private** encapsulates their values inside their object. + - No external class or object can access a private field. +- +- ## Constructors + - What are **constructors**? #card + card-last-interval:: 10.56 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-14T00:41:02.783Z + card-last-reviewed:: 2022-10-03T11:41:02.784Z + card-last-score:: 5 + - Constructors: + - Initialise an object. + - Have the same name as their class. + - Have a close association with the fields: + - They contain the initial values stored in the fields. + - They contain the parameter values often used for these. + - What is the point of the keyword `this`? #card + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-14T15:39:43.016Z + card-last-interval:: 11.2 + card-ease-factor:: 2.8 + card-last-reviewed:: 2022-10-03T11:39:43.018Z + - The `this` keyword refers to the current object in a method or constructor. + - The most common use of `this` is to distinguish between class attributes & parameters of the same name. + - If the input parameter variables in your constructor have the **same name** as your fields, you must use the `this` keyword to distinguish between the two. + - `this` = "belonging to this object". + - E.g., + - ```java + public Bicycle(int speed, int gear, int cadence) + { + this.speed = speed; + this.gear = gear; + this.cadence = cadence; + } + ``` +- +- ## Methods + - What are **methods**? #card + card-last-score:: 3 + card-repeats:: 4 + card-next-schedule:: 2022-10-24T09:51:35.296Z + card-last-interval:: 15.05 + card-ease-factor:: 1.94 + card-last-reviewed:: 2022-10-09T08:51:35.296Z + - **Methods** implement the *behaviour* of an object. + - They have a consistent structure comprised of a *header* and a *body*. + - ### Accessor Methods + - What are **accessor** methods? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:19:14.037Z + card-last-reviewed:: 2022-10-07T10:19:14.038Z + card-last-score:: 5 + - **Accessor** methods provide information about the state of an object. + - An accessor method always returns a type that is **not** `void`. + - An accessor method returns a value (*result*) of the type given in the **header**. + - The method will contain a **return** statement to return the value. + - ### Mutator Methods + - What are **mutator** methods? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:27:22.160Z + card-last-reviewed:: 2022-10-03T14:27:22.161Z + card-last-score:: 5 + - **Mutator** methods alter (*mutate*) the state of an object. + - Achieved through changing the value of one or more fields. + - They typically contain one or more *assignment* statements. + - Often receive parameters. + - ![image.png](../assets/image_1663063179688_0.png) + - ### Mutator Methods: Set + - Each field may have a dedicated **set** mutator method. + - These have a simple, distinctive form: + - **void** return type + - method name related to the field name + - a single formal parameter, with the same type as the type of the field + - a single assignment statement + - A typical "set" method: + - ```java + public void setGear (int number) + { + gear = number; + } + ``` + - ### Protector Mutators + - A set method does not always have to assign unconditionally to the field. + - The parameter may be checked for validity and rejected if innappropriate. + - Mutators thereby protect fields. + - Mutators also support *encapsulation*. + - #### Protecting a Field + - ```java + public void setGear (int gearing) + { + // this conditional statement prevents innapropriate action. + // if protects the "gear" field from values that are too large or too small. + if (gearing >= 1 && gearing <= 18) + { + gear = gearing; + } + else + { + System.out.println("Exceeds maximum gear ratio. Gear not set"); + } + } + ``` + - ### Method Structure + - The **header**: + - The head tells us: + - the *visibility* of the method to objects of other class. + - whether or not the method *returns a result*. + - the *name* of the method. + - whether or not the method takes *parameters*. + - E.g., + - ```java + public int getSpeed() + ``` + - The **body** encloses the method's *statements*. +- +- ## C vs Java + - Unlike C, an OOP program will **not** have a pool of global variables that each method can access. + - Instead, ^^each object has its own data^^, and other objects rely on the *accessor* methods of the object to access the data. +- +- ## Conditional Statements + - Conditional statements in Java have the same format as in C. + - ```java + if (condition) { + do something; + } + else { + do somethingElse; + } + ``` + - ![image.png](../assets/image_1663063508214_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-11-11T12_04_45.330Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-11-11T12_04_45.330Z.Desktop.md new file mode 100644 index 00000000..0b010027 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/First Java Code/2022-11-11T12_04_45.330Z.Desktop.md @@ -0,0 +1,196 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Introduction to Java]] +- **Next Topic:** [[More Java Code]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663059993088_0.pdf) +- +- What is the **structure of a class**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-01T00:46:31.046Z + card-last-reviewed:: 2022-11-09T12:46:31.046Z + card-last-score:: 3 + - Every class has the following structure: + - ```java + public class ClassName + { + Fields + Constructors + Methods + } + ``` +- ## Fields + - What are **Fields**? #card + card-last-interval:: 27.13 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-06T14:43:03.193Z + card-last-reviewed:: 2022-10-10T11:43:03.194Z + card-last-score:: 5 + - **Fields**, also known as **instance variables**, store values for an object. + - Fields define the state of an object. + - In BlueJ, use *Inspect* to view the state. + - Some values change frequently, others rarely, or not at all. +- ## Encapsulation + - What is **Encapsulation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-11T10:23:51.445Z + card-last-reviewed:: 2022-10-07T10:23:51.446Z + card-last-score:: 5 + - In **encapsulation**, the ^^variables of a class will be hidden from other classes^^ and can only be accessed through the methods of their current class. + - This is also known as **data hiding**. + - Why use encapsulation? #card + card-last-interval:: 9.12 + card-repeats:: 3 + card-ease-factor:: 2.28 + card-next-schedule:: 2022-10-29T10:28:34.075Z + card-last-reviewed:: 2022-10-20T08:28:34.075Z + card-last-score:: 5 + - In OOP, ^^each object is responsible for its own data.^^ + - This allows an object to have greater control over which data is available to be viewed externally, and how external objects can mutate the object's state. + - ### Encapsulation Type: Private + - What is the effect of making a field **private**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:33:20.443Z + card-last-reviewed:: 2022-10-20T08:33:20.443Z + card-last-score:: 5 + - Making a field **private** encapsulates their values inside their object. + - No external class or object can access a private field. +- +- ## Constructors + - What are **constructors**? #card + card-last-interval:: 10.56 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-14T00:41:02.783Z + card-last-reviewed:: 2022-10-03T11:41:02.784Z + card-last-score:: 5 + - Constructors: + - Initialise an object. + - Have the same name as their class. + - Have a close association with the fields: + - They contain the initial values stored in the fields. + - They contain the parameter values often used for these. + - What is the point of the keyword `this`? #card + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-14T15:39:43.016Z + card-last-interval:: 11.2 + card-ease-factor:: 2.8 + card-last-reviewed:: 2022-10-03T11:39:43.018Z + - The `this` keyword refers to the current object in a method or constructor. + - The most common use of `this` is to distinguish between class attributes & parameters of the same name. + - If the input parameter variables in your constructor have the **same name** as your fields, you must use the `this` keyword to distinguish between the two. + - `this` = "belonging to this object". + - E.g., + - ```java + public Bicycle(int speed, int gear, int cadence) + { + this.speed = speed; + this.gear = gear; + this.cadence = cadence; + } + ``` +- +- ## Methods + - What are **methods**? #card + card-last-score:: 3 + card-repeats:: 4 + card-next-schedule:: 2022-10-24T09:51:35.296Z + card-last-interval:: 15.05 + card-ease-factor:: 1.94 + card-last-reviewed:: 2022-10-09T08:51:35.296Z + - **Methods** implement the *behaviour* of an object. + - They have a consistent structure comprised of a *header* and a *body*. + - ### Accessor Methods + - What are **accessor** methods? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:19:14.037Z + card-last-reviewed:: 2022-10-07T10:19:14.038Z + card-last-score:: 5 + - **Accessor** methods provide information about the state of an object. + - An accessor method always returns a type that is **not** `void`. + - An accessor method returns a value (*result*) of the type given in the **header**. + - The method will contain a **return** statement to return the value. + - ### Mutator Methods + - What are **mutator** methods? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:27:22.160Z + card-last-reviewed:: 2022-10-03T14:27:22.161Z + card-last-score:: 5 + - **Mutator** methods alter (*mutate*) the state of an object. + - Achieved through changing the value of one or more fields. + - They typically contain one or more *assignment* statements. + - Often receive parameters. + - ![image.png](../assets/image_1663063179688_0.png) + - ### Mutator Methods: Set + - Each field may have a dedicated **set** mutator method. + - These have a simple, distinctive form: + - **void** return type + - method name related to the field name + - a single formal parameter, with the same type as the type of the field + - a single assignment statement + - A typical "set" method: + - ```java + public void setGear (int number) + { + gear = number; + } + ``` + - ### Protector Mutators + - A set method does not always have to assign unconditionally to the field. + - The parameter may be checked for validity and rejected if innappropriate. + - Mutators thereby protect fields. + - Mutators also support *encapsulation*. + - #### Protecting a Field + - ```java + public void setGear (int gearing) + { + // this conditional statement prevents innapropriate action. + // if protects the "gear" field from values that are too large or too small. + if (gearing >= 1 && gearing <= 18) + { + gear = gearing; + } + else + { + System.out.println("Exceeds maximum gear ratio. Gear not set"); + } + } + ``` + - ### Method Structure + - The **header**: + - The head tells us: + - the *visibility* of the method to objects of other class. + - whether or not the method *returns a result*. + - the *name* of the method. + - whether or not the method takes *parameters*. + - E.g., + - ```java + public int getSpeed() + ``` + - The **body** encloses the method's *statements*. +- +- ## C vs Java + - Unlike C, an OOP program will **not** have a pool of global variables that each method can access. + - Instead, ^^each object has its own data^^, and other objects rely on the *accessor* methods of the object to access the data. +- +- ## Conditional Statements + - Conditional statements in Java have the same format as in C. + - ```java + if (condition) { + do something; + } + else { + do somethingElse; + } + ``` + - ![image.png](../assets/image_1663063508214_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-09-30T10_01_42.283Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-09-30T10_01_42.283Z.Desktop.md new file mode 100644 index 00000000..cfc2cd30 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-09-30T10_01_42.283Z.Desktop.md @@ -0,0 +1,455 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous topic:** [[Introduction to Cybersecurity]] +- **Next Topic:** [[Introduction to Cryptography]] +- **Relevant lecture slides:** ![Lecture01.pdf](../assets/Lecture01_1662819128126_0.pdf) +- +- ## Motivation + - What are **Cyberattacks**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:12:09.399Z + card-last-reviewed:: 2022-09-18T15:12:09.400Z + card-last-score:: 5 + - Cyberattacks are aimed at **accessing, changing, or destroying sensitive information**, extorting money, or interrupting normal business processes. + - Managing sensitive data may reduce the attack probability, or at least its impact. + - **GDPR** provides such a regulatory framework +- +- ## General Data Protection Regulation + - What is **GDPR**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-28T15:29:17.338Z + card-last-reviewed:: 2022-09-19T18:29:17.338Z + card-last-score:: 3 + - The **General Data Protection Regulation** is a binding regulation in EU law on data protection in the European Union and the European Economic Area (EEA). + - The primary aim of GDPR is to ^^enhance individuals' control & rights over their personal data and to simplify the regulatory environment for international business.^^ + - The regulation contains ^^provisions & requirements related to the processing of personal data of individuals^^ who are located in the EEA, and applies to any enterprise that is processing the personal data of individuals inside the EEA - ^^regardless of its location and the data subjects' citizenship or residence.^^ + - ### GDPR Overview + - The GDPR sets out several key principles: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:47:35.615Z + card-last-score:: 1 + - Lawfulness + - Fairness & Transparency + - Purpose Limitation + - Data Minimsation + - Accuracy + - Storage Limitation + - Integrity & Confidentiality (Security) + - Accountability + - What is **Lawfulness** in GDPR? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:07:45.168Z + card-last-reviewed:: 2022-09-18T15:07:45.169Z + card-last-score:: 5 + - You must identify ^^**valid grounds** under the GDPR (known as a "**lawful basis**")^^ for collecting & using personal data. + - Processing shall be lawful if and to the extent that at least one of the following applies: + - Consensual + - Necessary for the performance of a contract + - Necessary for compliance with a legal obligation + - Necessary to protect the vital interests of the data subject or another person + - Necessary for the performance of a task carried out in public interest + - Necessary for the purpose of legitimate interests + - What is **Fairness & Transparency** in GDPR? #card + card-last-interval:: 11.32 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-01T01:28:42.062Z + card-last-reviewed:: 2022-09-19T18:28:42.063Z + card-last-score:: 3 + - You must ^^use personal data in a way that is fair.^^ This means that you must not process the data in a way that is unduly detrimental, unexpected, or misleading to the individuals concerned. + - You must be ^^clear, open, & honest^^ with data subjects from the start about how you will use their personal data. + - At the time personal data is being collected from data subjects, they must be informed via a "**Data Protection Notice**". + - What is a **Data Protection Notice**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:31:34.947Z + card-last-score:: 1 + - A **Data Protection Notice** entails: + - The identity & contact details of the **data controller** + - The contact details of the **data protection officer** + - The **purpose of the processing** & the legal basis for the processing + - The recipients or categories of **recipients of the data** + - Details of any transfers out of the EEA, the safeguards in place, and the means by which to obtain a copy of them + - The **data retention** period or the criteria to determine the data retention period + - The **individual's rights** (access, rectification & erasure, restriction, complaint) + - What is **Purpose Limitation** in GDPR? #card + card-last-interval:: 11.32 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-01T01:29:49.066Z + card-last-reviewed:: 2022-09-19T18:29:49.066Z + card-last-score:: 5 + - You must be ^^clear about what your purposes for processing^^ are from the start. + - You must ^^record your purposes^^ as part of your documentation obligations and specify them in your privacy information for individuals. + - You ^^can only use the personal data for a new purpose^^ if it is either compatible with your original purpose, you get **consent**, or you have a **clear basis in law**. + - What is **Data Minimisation** in GDPR? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:18:53.347Z + card-last-reviewed:: 2022-09-18T15:18:53.348Z + card-last-score:: 5 + - You must ensure that the personal data that you are processing is: + - **adequate** - sufficient to properly fulfil your stated purpose + - **relevant** - has a rational link to that purpose + - **limited** to what is necessary - you do not hold more than what you need for your stated purpose + - What is **Accuracy** in GDPR? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:00:01.564Z + card-last-reviewed:: 2022-09-18T15:00:01.564Z + card-last-score:: 5 + - You should take all reasonable steps to ensure that the personal data you hold is ^^not incorrect or misleading^^ as to any matter of fact. + - You may need to ^^keep the personal data updated^^, although this will depend on what you are using it for. + - If you ^^discover that personal data is incorrect or misleading^^, you must take reasonable steps to correct or erase it as soon as possible. + - You must ^^carefully consider any challenges to the accuracy^^ of personal data. + - What is **Storage Limitation** in GDPR? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T14:59:31.645Z + card-last-reviewed:: 2022-09-18T14:59:31.645Z + card-last-score:: 5 + - You must not keep personal data for ^^longer than you need it^^. + - You need to think about - and be able to justify - ^^how long you keep personal data^^. This will depend on your purposes for holding the data. + - You need a policy ^^setting standard retention periods^^ wherever possible, to comply with documentation requirements. + - You should also ^^periodically review the data you hold^^, and erase or anonymise it when you no longer need it. + - You must ^^carefully consider any challenges to your retention of data^^. + - Individuals have a **right to erasure** if you no longer need the data. + - You can ^^keep personal data for longer^^ if you are only keeping it for ^^personal interest archiving, scientific or historical research, or statistical purposes.^^ + - What is **Accountability & Governance** in GDPR? #card + card-last-interval:: 3.02 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T18:30:45.595Z + card-last-reviewed:: 2022-09-19T18:30:45.595Z + card-last-score:: 3 + - **Accountability** is one of the **data protection principles** - it makes you responsible for complying with the GDPR and says that ^^you must be able to demonstrate your compliance.^^ + - You need to put in place appropriate technical & organisational measures to meet the requirements of accountability. + - Accountability requires controllers to maintain records of processing activities in order to demonstrate how they comply with the data protection principles, i.e.: + - Inventory of personal data + - Providing assurance of compliance + - Need to document + - Why it is held + - How it is collected + - When it will be deleted + - Who may gain access to it + - What is **Integrity & Confidentiality** in GDPR? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:48:22.142Z + card-last-score:: 1 + - A key principle of GDPR is that you process personal data ^^securely by means of "appropriate technical & organisational measures"^^ - this is the "**security principle**". + - Doing this requires you to consider things like ^^risk analysis, organisational policies, and physical + technical measures.^^ + - Where appropriate, you should look to use measures such as **pseudoanonymisation** and **encryption**. + - Your measures must ensure the ^^"confidentiality, integrity, & availability"^^ of your systems & services and the personal data you process with them. + - The measures must also enable you to ^^restore access & availability^^ to personal data in a timely manner in the event of a physical or technical incident. + - What is **Data Protection**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T17:43:35.395Z + card-last-score:: 1 + - **Data Protection** is about an ^^individual's fundamental right to privacy.^^ + - When an individual gives their personal data to any organisation, the recipient has the duty to keep the data both safe & private. This applies to both printed & electronic data. + - What does Data Protection Legislation do? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T17:42:08.681Z + card-last-reviewed:: 2022-09-19T17:42:08.682Z + card-last-score:: 3 + - Data Protection Legislation: + - governs the way we deal with personal data / information + - provides a mechanism for safeguarding the privacy rights of individuals in relation to the processing of their data + - upholds rights and enforces obligations + - What is **Personal Data**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:21:56.198Z + card-last-reviewed:: 2022-09-19T18:21:56.199Z + card-last-score:: 5 + - **Personal Data** is any information relating to an identified or ^^identifiable natural person^^ ("data subject"). + - What is an **identifiable natural person**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T18:21:42.644Z + card-last-reviewed:: 2022-09-19T18:21:42.644Z + card-last-score:: 3 + - An **identifiable natural person** is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier to one or more factors specific to the ^^physical, physiological, genetic, mental, economic, cultural, or social identity^^ of that natural person. + - What is **Data Processing**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:50:21.132Z + card-last-reviewed:: 2022-09-18T14:50:21.132Z + card-last-score:: 3 + - **Data Processing** is ^^performing any operation on personal data^^, either manually or by automated means, including: + - Obtaining + - Storing + - Transmitting + - Recording + - Organising + - Altering + - Disclosing + - Erasing + - ### Entities in GDPR + - GDPR distinguishes between: + - The **Data Subject** + - The **Data Protection Officer (DPO)** + - The **Data Controller** + - The **Data Processor** + - + - What is the **Data Subject**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:24:52.976Z + card-last-reviewed:: 2022-09-19T18:24:52.976Z + card-last-score:: 5 + - The **Data Subject** is the person to whom the data relates. + - GDPR only applies to living individuals, but any duty of confidence in place prior to the death extends beyond that point. + - In Ireland, the next of kin of the deceased are entitled to a Freedom of Information request to the deceased's personal data. + - What is the **DPO**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:31:23.177Z + card-last-score:: 1 + - The primary role of the **Data Protection Officer** is to ^^ensure that their organisation processes the personal data of its staff, customers, and other data subjects in compliance with the applicable data protection rules.^^ + - The Data Protection officer is required to be an expert within this field, along with the requirement for them to report to the highest management level. + - With this being a challenging aspect of GDPR compliance for smaller organisations, there is the option to make an external appointment of a third-part DPO. + - + - When is the DPO a mandatory role? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:50:53.979Z + card-last-reviewed:: 2022-09-18T14:50:53.980Z + card-last-score:: 3 + - The DPO is a mandatory role within 3 different scenarios: + - 1. When the processing is undertaken by a public authority or body. + - 2. When an organisation's main activities require the frequent & large-scale monitoring of individual people. + - 3. Where large-scale processing of special categories of data or data relating to criminal records forms the core activities. + - What is the **Data Controller**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-28T14:47:48.190Z + card-last-reviewed:: 2022-09-19T17:47:48.191Z + card-last-score:: 3 + - The **Data Controller** is the company or an individual who ^^has overall control over the processing of personal data.^^ + - The Data Controller takes on the responsibility for GDPR compliance. + - A Data Controller needs to have had sufficient training and to be able to competently ensure the security & protection of data held within the organisation. + - What is the **Data Processor**? #card + card-last-interval:: 11.32 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-01T01:29:33.325Z + card-last-reviewed:: 2022-09-19T18:29:33.326Z + card-last-score:: 5 + - The **Data Processor** is the person who is ^^responsible for the processing of personal information.^^ + - Generally, this role is undertaken under the instruction of the **data controller**. + - This might mean obtaining or recording the data, its adaption, and use. It may also include the disclosure of the data or making it available to others. + - Generally, the Data Processor is involved in the more technical elements of the operation, while the interpretation & main decision-making is the role of the Data Controller. + - + - ### Cloud Services & GDPR + - What makes a **Cloud Service Provider** a **Data Processor**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T17:49:31.101Z + card-last-score:: 1 + - A **Cloud Service Provider** will be considered a **Data Processor** under GDPR if it provides data processing services (e.g., storage) on behalf of the Data Controller even without determining the purposes & means of processing. + - A Cloud Service Provider that offers personal data processing services directly to Data Subjects will be considered a **Data Controller**. + - What are some key benefits of GDPR for Data Subjects? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T18:22:42.639Z + card-last-reviewed:: 2022-09-19T18:22:42.640Z + card-last-score:: 3 + - More information must be given to data subjects (e.g., how long the data will be kept, right to lodge a complaint). + - The Data Controller must explain & document the legal basis for processing the personal data. + - GDPR tightens the rules on how consent can be obtained. + - Must be distinguishable from other matters and in clear, plain language. + - It must be as easy to withdraw consent as it is to give it. + - Mandatory notification of security breaches without "undue delay" to the Data Protection Commissioner (within 72 hours). + - What are some key rights of Data Subjects? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T20:03:27.743Z + card-last-reviewed:: 2022-09-14T20:03:27.743Z + card-last-score:: 3 + - Right of Access (copy to be provided within one month) + - Right to Erasure (the right to be forgotten) + - Right to Restriction of Processing + - Right to Object to Processing + - Right not to be subject to a decision based solely upon automated processing + - What are **Personal Data Security Breaches**? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:24:23.550Z + card-last-reviewed:: 2022-09-19T18:24:23.551Z + card-last-score:: 5 + - **Personal Data Security Breaches** include: + - Disclosure of confidential data to unauthorised individuals. + - Loss or theft of data or equipment upon which data is stored. + - Hacking, viruses, or other security attacks on IT equipment / systems / networks. + - Inappropriate access controls allowing unauthorised use of information. + - Emails containing personal data sent in error to the wrong recipient. + - Personal Data Security Breaches apply to both paper & electronic records. +- +- ## HTTP Cookies + - What is a **(HTTP) Cookie**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T15:12:42.615Z + card-last-score:: 1 + - A **(HTTP) Cookie** is a small piece of data stored on the user's computer by the web browser while browsing a website. + - Cookies were designed to be a reliable mechanism for websites to remember stateful information (such as items in the shopping cart in an online store) or to record the user's browsing activity. + - They can be also be used to remember pieces of information that the user previously entered into form fields. + - **Authentication Cookies** are the most common method used by web servers to know whether the user is logged in or not, and which account they are logged into. + - + - #### Cookie Implementation + - How are cookies implemented? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:48:34.015Z + card-last-score:: 1 + - Cookies are ^^arbitrary pieces of data^^ (i.e., large, random strings), usually chosen and first sent by the web server, and stored on the client computer by the web browser. + - The browser then send them back to the server with every request. + - Browser are required to: + - support cookies as large as 4,906 bytes in size + - support at least 50 cookies per domain + - support at least 3,000 cookies in total + - + - #### Cookie Structure + - What are the components of a cookie? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T17:43:45.262Z + card-last-score:: 1 + - A cookie consists of the following components: + - Name + - Value + - Zero or more attributes (name - value pairs). These attributes store information such as the cookie's expiration, domain, and flags (such as *Secure* and *HttpOnly*) + - + - ### Session Cookies + - What is a **session cookie**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T18:22:21.715Z + card-last-reviewed:: 2022-09-19T18:22:21.716Z + card-last-score:: 3 + - A **session cookie** (aka in-memory cookie, transient cookie, or non-persistent cookie) is a cookie that ^^exists only in temporary memory while the user navigates its website.^^ + - Web browsers normally delete session cookies when the user closes the browser. + - Session cookies do not have an expiration date assigned to them, which is how the browser know to treat them as session cookies. + - + - + - ### Persistent Cookies + - What is a **persistent cookie**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T18:27:39.082Z + card-last-reviewed:: 2022-09-19T18:27:39.082Z + card-last-score:: 3 + - A **persistent cookie** is a cookie which ^^expires at a specific data or after a specific length of time.^^ + - A persistent cookie's information will be transmitted to the server every time the user visits the website that the cookie belongs to, for the lifespan of the persistent cookie (as set by its creator), or every time that the user views a resource belonging to that website from another website (such as an advertisement). + - + - Persistent cookies are sometimes referred to as **tracking cookies** because they can be used by advertisers to record information about a user's web browsing habits. + - However, tracking cookies are mainly used for legitimate reasons, such as keeping users logged into their accounts on website to avoid re-entering login credentials at every visit. + - + - ### Cookie Attributes + - Consider the following response header sent by a webserver that contains 3 persistent cookies: + - ![image.png](../assets/image_1662819462897_0.png) + - What do the *Domain* and *Path* attributes do? #card + card-last-interval:: 9.55 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-29T07:30:31.159Z + card-last-reviewed:: 2022-09-19T18:30:31.160Z + card-last-score:: 5 + - The *Domain* and *Path* attributes define the cookie's scope. + - What does the *Secure* attribute do? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-09-29T22:47:37.954Z + card-last-reviewed:: 2022-09-19T17:47:37.955Z + card-last-score:: 5 + - The *Secure* attribute ensures that the cookie can only be transmitted over an **encrypted connection**, making it a "**secure cookie**". + - What does the *HttpOnly* attribute do? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:10:53.386Z + card-last-reviewed:: 2022-09-18T15:10:53.387Z + card-last-score:: 5 + - The *HttpOnly* attribute ^^directs cookies not to expose cookies through channels other than HTTP / HTTPS.^^ + - This means that this HttpOnly cookie cannot be accessed via client-side scripting languages (notably JavaScript). +- +- ## GDPR & Cookies + - Generally, a user's consent must be sought before a cookie is installed in a web browser. + - There are **two** expemptions: + - The **Communications Exemption** + - The **Strictly Necessary Exemption** + - + - What is the **Communications Exemption**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:48:01.065Z + card-last-reviewed:: 2022-09-18T14:48:01.066Z + card-last-score:: 3 + - The **Communications Exemption** applies to cookies ^^whose sole purpose is for carrying out the transmission of a communication over a network^^, for example, to identify the communication endpoints. + - Cookies that meet these criteria are exempted from being required to ask for the user's consent prior to installation. + - **Example:** load-balancing cookies that distribute network traffic across different backend servers, also known as **session stickiness**. + - Here, a **load-balancer** creates an affinity between a client and a specific network server for the duration of a session using a cookie with a random & unique tracking ID. + - Subsequently, the load-balancer routes all the of the requests from this client to a specific backend server using the tracking ID, for the duration of the session. + - ![image.png](../assets/image_1662820187995_0.png){:height 426, :width 529} + - + - + - What is the **Strictly Necessary** exemption? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T14:58:17.880Z + card-last-reviewed:: 2022-09-18T14:58:17.881Z + card-last-score:: 5 + - The **Strictly Necessary** exemption exempts cookies that are strictly necessary to provide the service of delivered over the internet, i.e., a website or app from being required to ask the user's consent prior to installation. + - ^^This service must have been explicitly requested by the user (i.e., typing in the URL), and the use of the cookie must be restricted to what is strictly necessary to provide that service.^^ + - Cookies related to advertising are **not** strictly necessary, and must be consented to. + - Examples: + - A website uses session cookies to keep track of items that a user places in an online shopping basket (assuming that this cookie will be deleted once the session is over). + - Cookies that a record a user's language or country preference. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-10-07T08_33_33.321Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-10-07T08_33_33.321Z.Desktop.md new file mode 100644 index 00000000..deac0986 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-10-07T08_33_33.321Z.Desktop.md @@ -0,0 +1,454 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous topic:** [[Introduction to Cybersecurity]] +- **Next Topic:** [[Introduction to Cryptography]] +- **Relevant lecture slides:** ![Lecture01.pdf](../assets/Lecture01_1662819128126_0.pdf) +- +- ## Motivation + - What are **Cyberattacks**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:25:05.425Z + card-last-reviewed:: 2022-10-01T13:25:05.425Z + card-last-score:: 5 + - Cyberattacks are aimed at **accessing, changing, or destroying sensitive information**, extorting money, or interrupting normal business processes. + - Managing sensitive data may reduce the attack probability, or at least its impact. + - **GDPR** provides such a regulatory framework +- +- ## General Data Protection Regulation + - What is **GDPR**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-25T02:35:29.600Z + card-last-reviewed:: 2022-10-03T14:35:29.600Z + card-last-score:: 5 + - The **General Data Protection Regulation** is a binding regulation in EU law on data protection in the European Union and the European Economic Area (EEA). + - The primary aim of GDPR is to ^^enhance individuals' control & rights over their personal data and to simplify the regulatory environment for international business.^^ + - The regulation contains ^^provisions & requirements related to the processing of personal data of individuals^^ who are located in the EEA, and applies to any enterprise that is processing the personal data of individuals inside the EEA - ^^regardless of its location and the data subjects' citizenship or residence.^^ + - ### GDPR Overview + - The GDPR sets out several key principles: #card + card-last-interval:: 3.33 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-03T16:20:39.425Z + card-last-reviewed:: 2022-09-30T09:20:39.425Z + card-last-score:: 3 + - Lawfulness + - Fairness & Transparency + - Purpose Limitation + - Data Minimsation + - Accuracy + - Storage Limitation + - Integrity & Confidentiality (Security) + - Accountability + - What is **Lawfulness** in GDPR? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T13:30:40.152Z + card-last-reviewed:: 2022-09-30T08:30:40.153Z + card-last-score:: 5 + - You must identify ^^**valid grounds** under the GDPR (known as a "**lawful basis**")^^ for collecting & using personal data. + - Processing shall be lawful if and to the extent that at least one of the following applies: + - Consensual + - Necessary for the performance of a contract + - Necessary for compliance with a legal obligation + - Necessary to protect the vital interests of the data subject or another person + - Necessary for the performance of a task carried out in public interest + - Necessary for the purpose of legitimate interests + - What is **Fairness & Transparency** in GDPR? #card + card-last-interval:: 11.32 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-01T01:28:42.062Z + card-last-reviewed:: 2022-09-19T18:28:42.063Z + card-last-score:: 3 + - You must ^^use personal data in a way that is fair.^^ This means that you must not process the data in a way that is unduly detrimental, unexpected, or misleading to the individuals concerned. + - You must be ^^clear, open, & honest^^ with data subjects from the start about how you will use their personal data. + - At the time personal data is being collected from data subjects, they must be informed via a "**Data Protection Notice**". + - What is a **Data Protection Notice**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-03T11:22:24.235Z + card-last-reviewed:: 2022-09-30T09:22:24.235Z + card-last-score:: 3 + - A **Data Protection Notice** entails: + - The identity & contact details of the **data controller** + - The contact details of the **data protection officer** + - The **purpose of the processing** & the legal basis for the processing + - The recipients or categories of **recipients of the data** + - Details of any transfers out of the EEA, the safeguards in place, and the means by which to obtain a copy of them + - The **data retention** period or the criteria to determine the data retention period + - The **individual's rights** (access, rectification & erasure, restriction, complaint) + - What is **Purpose Limitation** in GDPR? #card + card-last-interval:: 11.32 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-01T01:29:49.066Z + card-last-reviewed:: 2022-09-19T18:29:49.066Z + card-last-score:: 5 + - You must be ^^clear about what your purposes for processing^^ are from the start. + - You must ^^record your purposes^^ as part of your documentation obligations and specify them in your privacy information for individuals. + - You ^^can only use the personal data for a new purpose^^ if it is either compatible with your original purpose, you get **consent**, or you have a **clear basis in law**. + - What is **Data Minimisation** in GDPR? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:23.953Z + card-last-reviewed:: 2022-10-01T17:35:23.953Z + card-last-score:: 5 + - You must ensure that the personal data that you are processing is: + - **adequate** - sufficient to properly fulfil your stated purpose + - **relevant** - has a rational link to that purpose + - **limited** to what is necessary - you do not hold more than what you need for your stated purpose + - What is **Accuracy** in GDPR? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:16:08.483Z + card-last-reviewed:: 2022-09-30T12:16:08.484Z + card-last-score:: 5 + - You should take all reasonable steps to ensure that the personal data you hold is ^^not incorrect or misleading^^ as to any matter of fact. + - You may need to ^^keep the personal data updated^^, although this will depend on what you are using it for. + - If you ^^discover that personal data is incorrect or misleading^^, you must take reasonable steps to correct or erase it as soon as possible. + - You must ^^carefully consider any challenges to the accuracy^^ of personal data. + - What is **Storage Limitation** in GDPR? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:26:30.278Z + card-last-reviewed:: 2022-09-30T08:26:30.278Z + card-last-score:: 5 + - You must not keep personal data for ^^longer than you need it^^. + - You need to think about - and be able to justify - ^^how long you keep personal data^^. This will depend on your purposes for holding the data. + - You need a policy ^^setting standard retention periods^^ wherever possible, to comply with documentation requirements. + - You should also ^^periodically review the data you hold^^, and erase or anonymise it when you no longer need it. + - You must ^^carefully consider any challenges to your retention of data^^. + - Individuals have a **right to erasure** if you no longer need the data. + - You can ^^keep personal data for longer^^ if you are only keeping it for ^^personal interest archiving, scientific or historical research, or statistical purposes.^^ + - What is **Accountability & Governance** in GDPR? #card + card-last-interval:: 10.56 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-14T00:40:56.633Z + card-last-reviewed:: 2022-10-03T11:40:56.633Z + card-last-score:: 5 + - **Accountability** is one of the **data protection principles** - it makes you responsible for complying with the GDPR and says that ^^you must be able to demonstrate your compliance.^^ + - You need to put in place appropriate technical & organisational measures to meet the requirements of accountability. + - Accountability requires controllers to maintain records of processing activities in order to demonstrate how they comply with the data protection principles, i.e.: + - Inventory of personal data + - Providing assurance of compliance + - Need to document + - Why it is held + - How it is collected + - When it will be deleted + - Who may gain access to it + - What is **Integrity & Confidentiality** in GDPR? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T09:08:33.941Z + card-last-reviewed:: 2022-09-30T09:08:33.941Z + card-last-score:: 3 + - A key principle of GDPR is that you process personal data ^^securely by means of "appropriate technical & organisational measures"^^ - this is the "**security principle**". + - Doing this requires you to consider things like ^^risk analysis, organisational policies, and physical + technical measures.^^ + - Where appropriate, you should look to use measures such as **pseudoanonymisation** and **encryption**. + - Your measures must ensure the ^^"confidentiality, integrity, & availability"^^ of your systems & services and the personal data you process with them. + - The measures must also enable you to ^^restore access & availability^^ to personal data in a timely manner in the event of a physical or technical incident. + - What is **Data Protection**? #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-04T12:23:04.068Z + card-last-reviewed:: 2022-09-30T09:23:04.069Z + card-last-score:: 5 + - **Data Protection** is about an ^^individual's fundamental right to privacy.^^ + - When an individual gives their personal data to any organisation, the recipient has the duty to keep the data both safe & private. This applies to both printed & electronic data. + - What does Data Protection Legislation do? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:42:07.775Z + card-last-reviewed:: 2022-10-03T11:42:07.775Z + card-last-score:: 3 + - Data Protection Legislation: + - governs the way we deal with personal data / information + - provides a mechanism for safeguarding the privacy rights of individuals in relation to the processing of their data + - upholds rights and enforces obligations + - What is **Personal Data**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:44:35.417Z + card-last-reviewed:: 2022-10-03T11:44:35.417Z + card-last-score:: 5 + - **Personal Data** is any information relating to an identified or ^^identifiable natural person^^ ("data subject"). + - What is an **identifiable natural person**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:44:29.504Z + card-last-reviewed:: 2022-10-03T11:44:29.504Z + card-last-score:: 5 + - An **identifiable natural person** is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier to one or more factors specific to the ^^physical, physiological, genetic, mental, economic, cultural, or social identity^^ of that natural person. + - What is **Data Processing**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T09:13:46.167Z + card-last-reviewed:: 2022-09-30T12:13:46.167Z + card-last-score:: 3 + - **Data Processing** is ^^performing any operation on personal data^^, either manually or by automated means, including: + - Obtaining + - Storing + - Transmitting + - Recording + - Organising + - Altering + - Disclosing + - Erasing + - ### Entities in GDPR + - GDPR distinguishes between: + - The **Data Subject** + - The **Data Protection Officer (DPO)** + - The **Data Controller** + - The **Data Processor** + - + - What is the **Data Subject**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:03.265Z + card-last-reviewed:: 2022-10-03T14:28:03.266Z + card-last-score:: 5 + - The **Data Subject** is the person to whom the data relates. + - GDPR only applies to living individuals, but any duty of confidence in place prior to the death extends beyond that point. + - In Ireland, the next of kin of the deceased are entitled to a Freedom of Information request to the deceased's personal data. + - What is the **DPO**? #card + card-last-interval:: 3.51 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T00:26:04.053Z + card-last-reviewed:: 2022-10-04T12:26:04.054Z + card-last-score:: 5 + - The primary role of the **Data Protection Officer** is to ^^ensure that their organisation processes the personal data of its staff, customers, and other data subjects in compliance with the applicable data protection rules.^^ + - The Data Protection officer is required to be an expert within this field, along with the requirement for them to report to the highest management level. + - With this being a challenging aspect of GDPR compliance for smaller organisations, there is the option to make an external appointment of a third-part DPO. + - + - When is the DPO a mandatory role? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:34:15.483Z + card-last-score:: 1 + - The DPO is a mandatory role within 3 different scenarios: + - 1. When the processing is undertaken by a public authority or body. + - 2. When an organisation's main activities require the frequent & large-scale monitoring of individual people. + - 3. Where large-scale processing of special categories of data or data relating to criminal records forms the core activities. + - What is the **Data Controller**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-03T23:00:00.000Z + card-last-reviewed:: 2022-10-03T14:34:50.476Z + card-last-score:: 1 + - The **Data Controller** is the company or an individual who ^^has overall control over the processing of personal data.^^ + - The Data Controller takes on the responsibility for GDPR compliance. + - A Data Controller needs to have had sufficient training and to be able to competently ensure the security & protection of data held within the organisation. + - What is the **Data Processor**? #card + card-last-interval:: 11.32 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-01T01:29:33.325Z + card-last-reviewed:: 2022-09-19T18:29:33.326Z + card-last-score:: 5 + - The **Data Processor** is the person who is ^^responsible for the processing of personal information.^^ + - Generally, this role is undertaken under the instruction of the **data controller**. + - This might mean obtaining or recording the data, its adaption, and use. It may also include the disclosure of the data or making it available to others. + - Generally, the Data Processor is involved in the more technical elements of the operation, while the interpretation & main decision-making is the role of the Data Controller. + - + - ### Cloud Services & GDPR + - What makes a **Cloud Service Provider** a **Data Processor**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-08T12:32:03.127Z + card-last-reviewed:: 2022-10-04T12:32:03.127Z + card-last-score:: 3 + - A **Cloud Service Provider** will be considered a **Data Processor** under GDPR if it provides data processing services (e.g., storage) on behalf of the Data Controller even without determining the purposes & means of processing. + - A Cloud Service Provider that offers personal data processing services directly to Data Subjects will be considered a **Data Controller**. + - What are some key benefits of GDPR for Data Subjects? #card + collapsed:: true + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:45:06.983Z + card-last-reviewed:: 2022-10-03T11:45:06.983Z + card-last-score:: 3 + - More information must be given to data subjects (e.g., how long the data will be kept, right to lodge a complaint). + - The Data Controller must explain & document the legal basis for processing the personal data. + - GDPR tightens the rules on how consent can be obtained. + - Must be distinguishable from other matters and in clear, plain language. + - It must be as easy to withdraw consent as it is to give it. + - Mandatory notification of security breaches without "undue delay" to the Data Protection Commissioner (within 72 hours). + - What are some key rights of Data Subjects? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T05:45:53.547Z + card-last-reviewed:: 2022-09-30T08:45:53.547Z + card-last-score:: 3 + - Right of Access (copy to be provided within one month) + - Right to Erasure (the right to be forgotten) + - Right to Restriction of Processing + - Right to Object to Processing + - Right not to be subject to a decision based solely upon automated processing + - What are **Personal Data Security Breaches**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T13:28:54.471Z + card-last-reviewed:: 2022-09-30T08:28:54.471Z + card-last-score:: 5 + - **Personal Data Security Breaches** include: + - Disclosure of confidential data to unauthorised individuals. + - Loss or theft of data or equipment upon which data is stored. + - Hacking, viruses, or other security attacks on IT equipment / systems / networks. + - Inappropriate access controls allowing unauthorised use of information. + - Emails containing personal data sent in error to the wrong recipient. + - Personal Data Security Breaches apply to both paper & electronic records. +- +- ## HTTP Cookies + - What is a **(HTTP) Cookie**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T09:09:15.904Z + card-last-score:: 1 + - A **(HTTP) Cookie** is a small piece of data stored on the user's computer by the web browser while browsing a website. + - Cookies were designed to be a reliable mechanism for websites to remember stateful information (such as items in the shopping cart in an online store) or to record the user's browsing activity. + - They can be also be used to remember pieces of information that the user previously entered into form fields. + - **Authentication Cookies** are the most common method used by web servers to know whether the user is logged in or not, and which account they are logged into. + - + - #### Cookie Implementation + - How are cookies implemented? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:28:04.276Z + card-last-score:: 1 + - Cookies are ^^arbitrary pieces of data^^ (i.e., large, random strings), usually chosen and first sent by the web server, and stored on the client computer by the web browser. + - The browser then send them back to the server with every request. + - Browser are required to: + - support cookies as large as 4,906 bytes in size + - support at least 50 cookies per domain + - support at least 3,000 cookies in total + - + - #### Cookie Structure + - What are the components of a cookie? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:27:31.803Z + card-last-score:: 1 + - A cookie consists of the following components: + - Name + - Value + - Zero or more attributes (name - value pairs). These attributes store information such as the cookie's expiration, domain, and flags (such as *Secure* and *HttpOnly*) + - + - ### Session Cookies + - What is a **session cookie**? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:44:48.596Z + card-last-reviewed:: 2022-10-03T11:44:48.597Z + card-last-score:: 3 + - A **session cookie** (aka in-memory cookie, transient cookie, or non-persistent cookie) is a cookie that ^^exists only in temporary memory while the user navigates its website.^^ + - Web browsers normally delete session cookies when the user closes the browser. + - Session cookies do not have an expiration date assigned to them, which is how the browser know to treat them as session cookies. + - + - + - ### Persistent Cookies + - What is a **persistent cookie**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T20:29:49.936Z + card-last-reviewed:: 2022-10-03T14:29:49.936Z + card-last-score:: 5 + - A **persistent cookie** is a cookie which ^^expires at a specific data or after a specific length of time.^^ + - A persistent cookie's information will be transmitted to the server every time the user visits the website that the cookie belongs to, for the lifespan of the persistent cookie (as set by its creator), or every time that the user views a resource belonging to that website from another website (such as an advertisement). + - + - Persistent cookies are sometimes referred to as **tracking cookies** because they can be used by advertisers to record information about a user's web browsing habits. + - However, tracking cookies are mainly used for legitimate reasons, such as keeping users logged into their accounts on website to avoid re-entering login credentials at every visit. + - + - ### Cookie Attributes + - Consider the following response header sent by a webserver that contains 3 persistent cookies: + - ![image.png](../assets/image_1662819462897_0.png) + - What do the *Domain* and *Path* attributes do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:07:55.485Z + card-last-score:: 1 + - The *Domain* and *Path* attributes define the cookie's scope. + - What does the *Secure* attribute do? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-01T19:10:41.850Z + card-last-reviewed:: 2022-10-04T12:10:41.851Z + card-last-score:: 5 + - The *Secure* attribute ensures that the cookie can only be transmitted over an **encrypted connection**, making it a "**secure cookie**". + - What does the *HttpOnly* attribute do? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-10T19:21:36.210Z + card-last-reviewed:: 2022-10-01T13:21:36.211Z + card-last-score:: 3 + - The *HttpOnly* attribute ^^directs cookies not to expose cookies through channels other than HTTP / HTTPS.^^ + - This means that this HttpOnly cookie cannot be accessed via client-side scripting languages (notably JavaScript). +- +- ## GDPR & Cookies + - Generally, a user's consent must be sought before a cookie is installed in a web browser. + - There are **two** expemptions: + - The **Communications Exemption** + - The **Strictly Necessary Exemption** + - + - What is the **Communications Exemption**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T09:13:34.042Z + card-last-reviewed:: 2022-09-30T12:13:34.042Z + card-last-score:: 3 + - The **Communications Exemption** applies to cookies ^^whose sole purpose is for carrying out the transmission of a communication over a network^^, for example, to identify the communication endpoints. + - Cookies that meet these criteria are exempted from being required to ask for the user's consent prior to installation. + - **Example:** load-balancing cookies that distribute network traffic across different backend servers, also known as **session stickiness**. + - Here, a **load-balancer** creates an affinity between a client and a specific network server for the duration of a session using a cookie with a random & unique tracking ID. + - Subsequently, the load-balancer routes all the of the requests from this client to a specific backend server using the tracking ID, for the duration of the session. + - ![image.png](../assets/image_1662820187995_0.png){:height 426, :width 529} + - + - + - What is the **Strictly Necessary** exemption? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:15:51.772Z + card-last-reviewed:: 2022-09-30T12:15:51.773Z + card-last-score:: 5 + - The **Strictly Necessary** exemption exempts cookies that are strictly necessary to provide the service of delivered over the internet, i.e., a website or app from being required to ask the user's consent prior to installation. + - ^^This service must have been explicitly requested by the user (i.e., typing in the URL), and the use of the cookie must be restricted to what is strictly necessary to provide that service.^^ + - Cookies related to advertising are **not** strictly necessary, and must be consented to. + - Examples: + - A website uses session cookies to keep track of items that a user places in an online shopping basket (assuming that this cookie will be deleted once the session is over). + - Cookies that a record a user's language or country preference. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-10-10T11_59_52.403Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-10-10T11_59_52.403Z.Desktop.md new file mode 100644 index 00000000..d60ee391 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-10-10T11_59_52.403Z.Desktop.md @@ -0,0 +1,459 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous topic:** [[Introduction to Cybersecurity]] +- **Next Topic:** [[Introduction to Cryptography]] +- **Relevant lecture slides:** ![Lecture01.pdf](../assets/Lecture01_1662819128126_0.pdf) +- +- ## Motivation + - What are **Cyberattacks**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:25:05.425Z + card-last-reviewed:: 2022-10-01T13:25:05.425Z + card-last-score:: 5 + - Cyberattacks are aimed at **accessing, changing, or destroying sensitive information**, extorting money, or interrupting normal business processes. + - Managing sensitive data may reduce the attack probability, or at least its impact. + - **GDPR** provides such a regulatory framework +- +- ## General Data Protection Regulation + - What is **GDPR**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-25T02:35:29.600Z + card-last-reviewed:: 2022-10-03T14:35:29.600Z + card-last-score:: 5 + - The **General Data Protection Regulation** is a binding regulation in EU law on data protection in the European Union and the European Economic Area (EEA). + - The primary aim of GDPR is to ^^enhance individuals' control & rights over their personal data and to simplify the regulatory environment for international business.^^ + - The regulation contains ^^provisions & requirements related to the processing of personal data of individuals^^ who are located in the EEA, and applies to any enterprise that is processing the personal data of individuals inside the EEA - ^^regardless of its location and the data subjects' citizenship or residence.^^ + - ### GDPR Overview + - The GDPR sets out several key principles: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:20:12.573Z + card-last-score:: 1 + - Lawfulness + - Fairness & Transparency + - Purpose Limitation + - Data Minimsation + - Accuracy + - Storage Limitation + - Integrity & Confidentiality (Security) + - Accountability + - What is **Lawfulness** in GDPR? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T13:30:40.152Z + card-last-reviewed:: 2022-09-30T08:30:40.153Z + card-last-score:: 5 + - You must identify ^^**valid grounds** under the GDPR (known as a "**lawful basis**")^^ for collecting & using personal data. + - Processing shall be lawful if and to the extent that at least one of the following applies: + - Consensual + - Necessary for the performance of a contract + - Necessary for compliance with a legal obligation + - Necessary to protect the vital interests of the data subject or another person + - Necessary for the performance of a task carried out in public interest + - Necessary for the purpose of legitimate interests + - What is **Fairness & Transparency** in GDPR? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-28T22:35:32.027Z + card-last-reviewed:: 2022-10-07T10:35:32.027Z + card-last-score:: 3 + - You must ^^use personal data in a way that is fair.^^ This means that you must not process the data in a way that is unduly detrimental, unexpected, or misleading to the individuals concerned. + - You must be ^^clear, open, & honest^^ with data subjects from the start about how you will use their personal data. + - At the time personal data is being collected from data subjects, they must be informed via a "**Data Protection Notice**". + - What is a **Data Protection Notice**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-16T07:36:37.829Z + card-last-reviewed:: 2022-10-07T10:36:37.829Z + card-last-score:: 3 + - A **Data Protection Notice** entails: + - The identity & contact details of the **data controller** + - The contact details of the **data protection officer** + - The **purpose of the processing** & the legal basis for the processing + - The recipients or categories of **recipients of the data** + - Details of any transfers out of the EEA, the safeguards in place, and the means by which to obtain a copy of them + - The **data retention** period or the criteria to determine the data retention period + - The **individual's rights** (access, rectification & erasure, restriction, complaint) + - What is **Purpose Limitation** in GDPR? #card + card-last-interval:: 26.21 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-02T15:18:23.577Z + card-last-reviewed:: 2022-10-07T10:18:23.578Z + card-last-score:: 5 + - You must be ^^clear about what your purposes for processing^^ are from the start. + - You must ^^record your purposes^^ as part of your documentation obligations and specify them in your privacy information for individuals. + - You ^^can only use the personal data for a new purpose^^ if it is either compatible with your original purpose, you get **consent**, or you have a **clear basis in law**. + - What is **Data Minimisation** in GDPR? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:23.953Z + card-last-reviewed:: 2022-10-01T17:35:23.953Z + card-last-score:: 5 + - You must ensure that the personal data that you are processing is: + - **adequate** - sufficient to properly fulfil your stated purpose + - **relevant** - has a rational link to that purpose + - **limited** to what is necessary - you do not hold more than what you need for your stated purpose + - What is **Accuracy** in GDPR? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:16:08.483Z + card-last-reviewed:: 2022-09-30T12:16:08.484Z + card-last-score:: 5 + - You should take all reasonable steps to ensure that the personal data you hold is ^^not incorrect or misleading^^ as to any matter of fact. + - You may need to ^^keep the personal data updated^^, although this will depend on what you are using it for. + - If you ^^discover that personal data is incorrect or misleading^^, you must take reasonable steps to correct or erase it as soon as possible. + - You must ^^carefully consider any challenges to the accuracy^^ of personal data. + - What is **Storage Limitation** in GDPR? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:26:30.278Z + card-last-reviewed:: 2022-09-30T08:26:30.278Z + card-last-score:: 5 + - You must not keep personal data for ^^longer than you need it^^. + - You need to think about - and be able to justify - ^^how long you keep personal data^^. This will depend on your purposes for holding the data. + - You need a policy ^^setting standard retention periods^^ wherever possible, to comply with documentation requirements. + - You should also ^^periodically review the data you hold^^, and erase or anonymise it when you no longer need it. + - You must ^^carefully consider any challenges to your retention of data^^. + - Individuals have a **right to erasure** if you no longer need the data. + - You can ^^keep personal data for longer^^ if you are only keeping it for ^^personal interest archiving, scientific or historical research, or statistical purposes.^^ + - What is **Accountability & Governance** in GDPR? #card + card-last-interval:: 10.56 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-14T00:40:56.633Z + card-last-reviewed:: 2022-10-03T11:40:56.633Z + card-last-score:: 5 + - **Accountability** is one of the **data protection principles** - it makes you responsible for complying with the GDPR and says that ^^you must be able to demonstrate your compliance.^^ + - You need to put in place appropriate technical & organisational measures to meet the requirements of accountability. + - Accountability requires controllers to maintain records of processing activities in order to demonstrate how they comply with the data protection principles, i.e.: + - Inventory of personal data + - Providing assurance of compliance + - Need to document + - Why it is held + - How it is collected + - When it will be deleted + - Who may gain access to it + - What is **Integrity & Confidentiality** in GDPR? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:19:04.604Z + card-last-reviewed:: 2022-10-07T10:19:04.605Z + card-last-score:: 5 + - A key principle of GDPR is that you process personal data ^^securely by means of "appropriate technical & organisational measures"^^ - this is the "**security principle**". + - Doing this requires you to consider things like ^^risk analysis, organisational policies, and physical + technical measures.^^ + - Where appropriate, you should look to use measures such as **pseudoanonymisation** and **encryption**. + - Your measures must ensure the ^^"confidentiality, integrity, & availability"^^ of your systems & services and the personal data you process with them. + - The measures must also enable you to ^^restore access & availability^^ to personal data in a timely manner in the event of a physical or technical incident. + - What is **Data Protection**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:27:56.517Z + card-last-score:: 1 + - **Data Protection** is about an ^^individual's fundamental right to privacy.^^ + - When an individual gives their personal data to any organisation, the recipient has the duty to keep the data both safe & private. This applies to both printed & electronic data. + - What does Data Protection Legislation do? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:42:07.775Z + card-last-reviewed:: 2022-10-03T11:42:07.775Z + card-last-score:: 3 + - Data Protection Legislation: + - governs the way we deal with personal data / information + - provides a mechanism for safeguarding the privacy rights of individuals in relation to the processing of their data + - upholds rights and enforces obligations + - What is **Personal Data**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:44:35.417Z + card-last-reviewed:: 2022-10-03T11:44:35.417Z + card-last-score:: 5 + - **Personal Data** is any information relating to an identified or ^^identifiable natural person^^ ("data subject"). + - What is an **identifiable natural person**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:44:29.504Z + card-last-reviewed:: 2022-10-03T11:44:29.504Z + card-last-score:: 5 + - An **identifiable natural person** is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier to one or more factors specific to the ^^physical, physiological, genetic, mental, economic, cultural, or social identity^^ of that natural person. + - What is **Data Processing**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T09:13:46.167Z + card-last-reviewed:: 2022-09-30T12:13:46.167Z + card-last-score:: 3 + - **Data Processing** is ^^performing any operation on personal data^^, either manually or by automated means, including: + - Obtaining + - Storing + - Transmitting + - Recording + - Organising + - Altering + - Disclosing + - Erasing + - ### Entities in GDPR + - GDPR distinguishes between: + - The **Data Subject** + - The **Data Protection Officer (DPO)** + - The **Data Controller** + - The **Data Processor** + - + - What is the **Data Subject**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:03.265Z + card-last-reviewed:: 2022-10-03T14:28:03.266Z + card-last-score:: 5 + - The **Data Subject** is the person to whom the data relates. + - GDPR only applies to living individuals, but any duty of confidence in place prior to the death extends beyond that point. + - In Ireland, the next of kin of the deceased are entitled to a Freedom of Information request to the deceased's personal data. + - What is the **DPO**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:48:55.229Z + card-last-score:: 1 + - The primary role of the **Data Protection Officer (DPO)** is to ^^ensure that their organisation processes the personal data of its staff, customers, and other data subjects in compliance with the applicable data protection rules.^^ + - The Data Protection officer is required to be an expert within this field, along with the requirement for them to report to the highest management level. + - With this being a challenging aspect of GDPR compliance for smaller organisations, there is the option to make an external appointment of a third-part DPO. + - When is the DPO a mandatory role? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:15:05.911Z + card-last-reviewed:: 2022-10-07T10:15:05.911Z + card-last-score:: 3 + - The DPO is a mandatory role within 3 different scenarios: + - 1. When the processing is undertaken by a public authority or body. + - 2. When an organisation's main activities require the frequent & large-scale monitoring of individual people. + - 3. Where large-scale processing of special categories of data or data relating to criminal records forms the core activities. + - What is the **Data Controller**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T15:33:20.988Z + card-last-reviewed:: 2022-10-08T15:33:20.988Z + card-last-score:: 5 + - The **Data Controller** is the company or an individual who ^^has overall control over the processing of personal data.^^ + - The Data Controller takes on the responsibility for GDPR compliance. + - A Data Controller needs to have had sufficient training and to be able to competently ensure the security & protection of data held within the organisation. + - What is the **Data Processor**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:26:05.237Z + card-last-score:: 1 + - The **Data Processor** is the person who is ^^responsible for the processing of personal information.^^ + - Generally, this role is undertaken under the instruction of the **data controller**. + - This might mean obtaining or recording the data, its adaption, and use. It may also include the disclosure of the data or making it available to others. + - Generally, the Data Processor is involved in the more technical elements of the operation, while the interpretation & main decision-making is the role of the Data Controller. + - + - ### Cloud Services & GDPR + - What makes a **Cloud Service Provider** a **Data Processor**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-18T05:00:00.250Z + card-last-reviewed:: 2022-10-08T23:00:00.251Z + card-last-score:: 5 + - A **Cloud Service Provider** will be considered a **Data Processor** under GDPR if it provides **data processing services** (e.g., storage) on behalf of the **Data Controller** ^^even without determining the purposes & means of processing.^^ + - A Cloud Service Provider that offers personal data processing services directly to Data Subjects will be considered a **Data Controller**. + - What are some key benefits of GDPR for Data Subjects? #card + collapsed:: true + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:45:06.983Z + card-last-reviewed:: 2022-10-03T11:45:06.983Z + card-last-score:: 3 + - More information must be given to data subjects (e.g., how long the data will be kept, right to lodge a complaint). + - The Data Controller must explain & document the legal basis for processing the personal data. + - GDPR tightens the rules on how consent can be obtained. + - Must be distinguishable from other matters and in clear, plain language. + - It must be as easy to withdraw consent as it is to give it. + - Mandatory notification of security breaches without "undue delay" to the Data Protection Commissioner (within 72 hours). + - What are some key rights of Data Subjects? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T05:45:53.547Z + card-last-reviewed:: 2022-09-30T08:45:53.547Z + card-last-score:: 3 + - Right of Access (copy to be provided within one month) + - Right to Erasure (the right to be forgotten) + - Right to Restriction of Processing + - Right to Object to Processing + - Right not to be subject to a decision based solely upon automated processing + - What are **Personal Data Security Breaches**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T13:28:54.471Z + card-last-reviewed:: 2022-09-30T08:28:54.471Z + card-last-score:: 5 + - **Personal Data Security Breaches** include: + - Disclosure of confidential data to unauthorised individuals. + - Loss or theft of data or equipment upon which data is stored. + - Hacking, viruses, or other security attacks on IT equipment / systems / networks. + - Inappropriate access controls allowing unauthorised use of information. + - Emails containing personal data sent in error to the wrong recipient. + - Personal Data Security Breaches apply to both paper & electronic records. +- +- ## HTTP Cookies + - What is a **(HTTP) Cookie**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:31:55.799Z + card-last-reviewed:: 2022-10-07T10:31:55.800Z + card-last-score:: 3 + - A **(HTTP) Cookie** is a small piece of data stored on the user's computer by the web browser while browsing a website. + - Cookies were designed to be a reliable mechanism for websites to remember stateful information (such as items in the shopping cart in an online store) or to record the user's browsing activity. + - They can be also be used to remember pieces of information that the user previously entered into form fields. + - **Authentication Cookies** are the most common method used by web servers to know whether the user is logged in or not, and which account they are logged into. + - + - #### Cookie Implementation + - How are cookies implemented? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:26:56.144Z + card-last-score:: 1 + - Cookies are ^^arbitrary pieces of data^^ (i.e., large, random strings), usually chosen & first sent by the web server, and stored on the client computer by the web browser. + - The browser then sends them back to the server with every request. + - Browsers are required to: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:27:06.498Z + card-last-score:: 1 + - support cookies as large as 4,906 bytes in size + - support at least 50 cookies per domain + - support at least 3,000 cookies in total + - + - #### Cookie Structure + - What are the components of a cookie? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:19:47.270Z + card-last-score:: 1 + - A cookie consists of the following components: + - Name + - Value + - Zero or more attributes (name - value pairs). These attributes store information such as the cookie's expiration, domain, and flags (such as *Secure* and *HttpOnly*) + - + - ### Session Cookies + - What is a **session cookie**? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:44:48.596Z + card-last-reviewed:: 2022-10-03T11:44:48.597Z + card-last-score:: 3 + - A **session cookie** (aka in-memory cookie, transient cookie, or non-persistent cookie) is a cookie that ^^exists only in temporary memory while the user navigates its website.^^ + - Web browsers normally delete session cookies when the user closes the browser. + - Session cookies do not have an expiration date assigned to them, which is how the browser know to treat them as session cookies. + - + - + - ### Persistent Cookies + - What is a **persistent cookie**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T20:29:49.936Z + card-last-reviewed:: 2022-10-03T14:29:49.936Z + card-last-score:: 5 + - A **persistent cookie** is a cookie which ^^expires at a specific data or after a specific length of time.^^ + - A persistent cookie's information will be transmitted to the server every time the user visits the website that the cookie belongs to, for the lifespan of the persistent cookie (as set by its creator), or every time that the user views a resource belonging to that website from another website (such as an advertisement). + - + - Persistent cookies are sometimes referred to as **tracking cookies** because they can be used by advertisers to record information about a user's web browsing habits. + - However, tracking cookies are mainly used for legitimate reasons, such as keeping users logged into their accounts on website to avoid re-entering login credentials at every visit. + - + - ### Cookie Attributes + - Consider the following response header sent by a webserver that contains 3 persistent cookies: + - ![image.png](../assets/image_1662819462897_0.png) + - What do the *Domain* and *Path* attributes do? #card + card-last-interval:: 2.98 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T14:29:23.228Z + card-last-reviewed:: 2022-10-08T15:29:23.228Z + card-last-score:: 3 + - The *Domain* and *Path* attributes define the cookie's scope. + - What does the *Secure* attribute do? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-01T19:10:41.850Z + card-last-reviewed:: 2022-10-04T12:10:41.851Z + card-last-score:: 5 + - The *Secure* attribute ensures that the cookie can only be transmitted over an **encrypted connection**, making it a "**secure cookie**". + - What does the *HttpOnly* attribute do? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-10T19:21:36.210Z + card-last-reviewed:: 2022-10-01T13:21:36.211Z + card-last-score:: 3 + - The *HttpOnly* attribute ^^directs cookies not to expose cookies through channels other than HTTP / HTTPS.^^ + - This means that this HttpOnly cookie cannot be accessed via client-side scripting languages (notably JavaScript). +- +- ## GDPR & Cookies + - Generally, a user's consent must be sought before a cookie is installed in a web browser. + - There are **two** expemptions: + - The **Communications Exemption** + - The **Strictly Necessary Exemption** + - + - What is the **Communications Exemption**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T09:13:34.042Z + card-last-reviewed:: 2022-09-30T12:13:34.042Z + card-last-score:: 3 + - The **Communications Exemption** applies to cookies ^^whose sole purpose is for carrying out the transmission of a communication over a network^^, for example, to identify the communication endpoints. + - Cookies that meet these criteria are exempted from being required to ask for the user's consent prior to installation. + - **Example:** load-balancing cookies that distribute network traffic across different backend servers, also known as **session stickiness**. + - Here, a **load-balancer** creates an affinity between a client and a specific network server for the duration of a session using a cookie with a random & unique tracking ID. + - Subsequently, the load-balancer routes all the of the requests from this client to a specific backend server using the tracking ID, for the duration of the session. + - ![image.png](../assets/image_1662820187995_0.png){:height 426, :width 529} + - + - + - What is the **Strictly Necessary** exemption? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:15:51.772Z + card-last-reviewed:: 2022-09-30T12:15:51.773Z + card-last-score:: 5 + - The **Strictly Necessary** exemption exempts cookies that are strictly necessary to provide the service of delivered over the internet, i.e., a website or app from being required to ask the user's consent prior to installation. + - ^^This service must have been explicitly requested by the user (i.e., typing in the URL), and the use of the cookie must be restricted to what is strictly necessary to provide that service.^^ + - Cookies related to advertising are **not** strictly necessary, and must be consented to. + - Examples: + - A website uses session cookies to keep track of items that a user places in an online shopping basket (assuming that this cookie will be deleted once the session is over). + - Cookies that a record a user's language or country preference. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-10-20T09_05_57.961Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-10-20T09_05_57.961Z.Desktop.md new file mode 100644 index 00000000..6414a013 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-10-20T09_05_57.961Z.Desktop.md @@ -0,0 +1,459 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous topic:** [[Introduction to Cybersecurity]] +- **Next Topic:** [[Introduction to Cryptography]] +- **Relevant lecture slides:** ![Lecture01.pdf](../assets/Lecture01_1662819128126_0.pdf) +- +- ## Motivation + - What are **Cyberattacks**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:25:05.425Z + card-last-reviewed:: 2022-10-01T13:25:05.425Z + card-last-score:: 5 + - Cyberattacks are aimed at **accessing, changing, or destroying sensitive information**, extorting money, or interrupting normal business processes. + - Managing sensitive data may reduce the attack probability, or at least its impact. + - **GDPR** provides such a regulatory framework +- +- ## General Data Protection Regulation + - What is **GDPR**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-25T02:35:29.600Z + card-last-reviewed:: 2022-10-03T14:35:29.600Z + card-last-score:: 5 + - The **General Data Protection Regulation** is a binding regulation in EU law on data protection in the European Union and the European Economic Area (EEA). + - The primary aim of GDPR is to ^^enhance individuals' control & rights over their personal data and to simplify the regulatory environment for international business.^^ + - The regulation contains ^^provisions & requirements related to the processing of personal data of individuals^^ who are located in the EEA, and applies to any enterprise that is processing the personal data of individuals inside the EEA - ^^regardless of its location and the data subjects' citizenship or residence.^^ + - ### GDPR Overview + - The GDPR sets out several key principles: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:36:09.651Z + card-last-score:: 1 + - Lawfulness + - Fairness & Transparency + - Purpose Limitation + - Data Minimsation + - Accuracy + - Storage Limitation + - Integrity & Confidentiality (Security) + - Accountability + - What is **Lawfulness** in GDPR? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T13:30:40.152Z + card-last-reviewed:: 2022-09-30T08:30:40.153Z + card-last-score:: 5 + - You must identify ^^**valid grounds** under the GDPR (known as a "**lawful basis**")^^ for collecting & using personal data. + - Processing shall be lawful if and to the extent that at least one of the following applies: + - Consensual + - Necessary for the performance of a contract + - Necessary for compliance with a legal obligation + - Necessary to protect the vital interests of the data subject or another person + - Necessary for the performance of a task carried out in public interest + - Necessary for the purpose of legitimate interests + - What is **Fairness & Transparency** in GDPR? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-28T22:35:32.027Z + card-last-reviewed:: 2022-10-07T10:35:32.027Z + card-last-score:: 3 + - You must ^^use personal data in a way that is fair.^^ This means that you must not process the data in a way that is unduly detrimental, unexpected, or misleading to the individuals concerned. + - You must be ^^clear, open, & honest^^ with data subjects from the start about how you will use their personal data. + - At the time personal data is being collected from data subjects, they must be informed via a "**Data Protection Notice**". + - What is a **Data Protection Notice**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-16T07:36:37.829Z + card-last-reviewed:: 2022-10-07T10:36:37.829Z + card-last-score:: 3 + - A **Data Protection Notice** entails: + - The identity & contact details of the **data controller** + - The contact details of the **data protection officer** + - The **purpose of the processing** & the legal basis for the processing + - The recipients or categories of **recipients of the data** + - Details of any transfers out of the EEA, the safeguards in place, and the means by which to obtain a copy of them + - The **data retention** period or the criteria to determine the data retention period + - The **individual's rights** (access, rectification & erasure, restriction, complaint) + - What is **Purpose Limitation** in GDPR? #card + card-last-interval:: 26.21 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-02T15:18:23.577Z + card-last-reviewed:: 2022-10-07T10:18:23.578Z + card-last-score:: 5 + - You must be ^^clear about what your purposes for processing^^ are from the start. + - You must ^^record your purposes^^ as part of your documentation obligations and specify them in your privacy information for individuals. + - You ^^can only use the personal data for a new purpose^^ if it is either compatible with your original purpose, you get **consent**, or you have a **clear basis in law**. + - What is **Data Minimisation** in GDPR? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:23.953Z + card-last-reviewed:: 2022-10-01T17:35:23.953Z + card-last-score:: 5 + - You must ensure that the personal data that you are processing is: + - **adequate** - sufficient to properly fulfil your stated purpose + - **relevant** - has a rational link to that purpose + - **limited** to what is necessary - you do not hold more than what you need for your stated purpose + - What is **Accuracy** in GDPR? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:16:08.483Z + card-last-reviewed:: 2022-09-30T12:16:08.484Z + card-last-score:: 5 + - You should take all reasonable steps to ensure that the personal data you hold is ^^not incorrect or misleading^^ as to any matter of fact. + - You may need to ^^keep the personal data updated^^, although this will depend on what you are using it for. + - If you ^^discover that personal data is incorrect or misleading^^, you must take reasonable steps to correct or erase it as soon as possible. + - You must ^^carefully consider any challenges to the accuracy^^ of personal data. + - What is **Storage Limitation** in GDPR? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:26:30.278Z + card-last-reviewed:: 2022-09-30T08:26:30.278Z + card-last-score:: 5 + - You must not keep personal data for ^^longer than you need it^^. + - You need to think about - and be able to justify - ^^how long you keep personal data^^. This will depend on your purposes for holding the data. + - You need a policy ^^setting standard retention periods^^ wherever possible, to comply with documentation requirements. + - You should also ^^periodically review the data you hold^^, and erase or anonymise it when you no longer need it. + - You must ^^carefully consider any challenges to your retention of data^^. + - Individuals have a **right to erasure** if you no longer need the data. + - You can ^^keep personal data for longer^^ if you are only keeping it for ^^personal interest archiving, scientific or historical research, or statistical purposes.^^ + - What is **Accountability & Governance** in GDPR? #card + card-last-interval:: 10.56 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-14T00:40:56.633Z + card-last-reviewed:: 2022-10-03T11:40:56.633Z + card-last-score:: 5 + - **Accountability** is one of the **data protection principles** - it makes you responsible for complying with the GDPR and says that ^^you must be able to demonstrate your compliance.^^ + - You need to put in place appropriate technical & organisational measures to meet the requirements of accountability. + - Accountability requires controllers to maintain records of processing activities in order to demonstrate how they comply with the data protection principles, i.e.: + - Inventory of personal data + - Providing assurance of compliance + - Need to document + - Why it is held + - How it is collected + - When it will be deleted + - Who may gain access to it + - What is **Integrity & Confidentiality** in GDPR? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-16T15:43:04.896Z + card-last-reviewed:: 2022-10-19T08:43:04.897Z + card-last-score:: 5 + - A key principle of GDPR is that you process personal data ^^securely by means of "appropriate technical & organisational measures"^^ - this is the "**security principle**". + - Doing this requires you to consider things like ^^risk analysis, organisational policies, and physical + technical measures.^^ + - Where appropriate, you should look to use measures such as **pseudoanonymisation** and **encryption**. + - Your measures must ensure the ^^"confidentiality, integrity, & availability"^^ of your systems & services and the personal data you process with them. + - The measures must also enable you to ^^restore access & availability^^ to personal data in a timely manner in the event of a physical or technical incident. + - What is **Data Protection**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:38:02.257Z + card-last-reviewed:: 2022-10-10T11:38:02.257Z + card-last-score:: 3 + - **Data Protection** is about an ^^individual's fundamental right to privacy.^^ + - When an individual gives their personal data to any organisation, the recipient has the duty to keep the data both safe & private. This applies to both printed & electronic data. + - What does Data Protection Legislation do? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:42:07.775Z + card-last-reviewed:: 2022-10-03T11:42:07.775Z + card-last-score:: 3 + - Data Protection Legislation: + - governs the way we deal with personal data / information + - provides a mechanism for safeguarding the privacy rights of individuals in relation to the processing of their data + - upholds rights and enforces obligations + - What is **Personal Data**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:44:35.417Z + card-last-reviewed:: 2022-10-03T11:44:35.417Z + card-last-score:: 5 + - **Personal Data** is any information relating to an identified or ^^identifiable natural person^^ ("data subject"). + - What is an **identifiable natural person**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:44:29.504Z + card-last-reviewed:: 2022-10-03T11:44:29.504Z + card-last-score:: 5 + - An **identifiable natural person** is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier to one or more factors specific to the ^^physical, physiological, genetic, mental, economic, cultural, or social identity^^ of that natural person. + - What is **Data Processing**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-31T23:43:37.835Z + card-last-reviewed:: 2022-10-10T11:43:37.836Z + card-last-score:: 5 + - **Data Processing** is ^^performing any operation on personal data^^, either manually or by automated means, including: + - Obtaining + - Storing + - Transmitting + - Recording + - Organising + - Altering + - Disclosing + - Erasing + - ### Entities in GDPR + - GDPR distinguishes between: + - The **Data Subject** + - The **Data Protection Officer (DPO)** + - The **Data Controller** + - The **Data Processor** + - + - What is the **Data Subject**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:03.265Z + card-last-reviewed:: 2022-10-03T14:28:03.266Z + card-last-score:: 5 + - The **Data Subject** is the person to whom the data relates. + - GDPR only applies to living individuals, but any duty of confidence in place prior to the death extends beyond that point. + - In Ireland, the next of kin of the deceased are entitled to a Freedom of Information request to the deceased's personal data. + - What is the **DPO**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:39:55.084Z + card-last-reviewed:: 2022-10-10T11:39:55.085Z + card-last-score:: 3 + - The primary role of the **Data Protection Officer (DPO)** is to ^^ensure that their organisation processes the personal data of its staff, customers, and other data subjects in compliance with the applicable data protection rules.^^ + - The Data Protection officer is required to be an expert within this field, along with the requirement for them to report to the highest management level. + - With this being a challenging aspect of GDPR compliance for smaller organisations, there is the option to make an external appointment of a third-part DPO. + - When is the DPO a mandatory role? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:15:05.911Z + card-last-reviewed:: 2022-10-07T10:15:05.911Z + card-last-score:: 3 + - The DPO is a mandatory role within 3 different scenarios: + - 1. When the processing is undertaken by a public authority or body. + - 2. When an organisation's main activities require the frequent & large-scale monitoring of individual people. + - 3. Where large-scale processing of special categories of data or data relating to criminal records forms the core activities. + - What is the **Data Controller**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T15:33:20.988Z + card-last-reviewed:: 2022-10-08T15:33:20.988Z + card-last-score:: 5 + - The **Data Controller** is the company or an individual who ^^has overall control over the processing of personal data.^^ + - The Data Controller takes on the responsibility for GDPR compliance. + - A Data Controller needs to have had sufficient training and to be able to competently ensure the security & protection of data held within the organisation. + - What is the **Data Processor**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:37:43.256Z + card-last-score:: 1 + - The **Data Processor** is the person who is ^^responsible for the processing of personal information.^^ + - Generally, this role is undertaken under the instruction of the **data controller**. + - This might mean obtaining or recording the data, its adaption, and use. It may also include the disclosure of the data or making it available to others. + - Generally, the Data Processor is involved in the more technical elements of the operation, while the interpretation & main decision-making is the role of the Data Controller. + - + - ### Cloud Services & GDPR + - What makes a **Cloud Service Provider** a **Data Processor**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-18T05:00:00.250Z + card-last-reviewed:: 2022-10-08T23:00:00.251Z + card-last-score:: 5 + - A **Cloud Service Provider** will be considered a **Data Processor** under GDPR if it provides **data processing services** (e.g., storage) on behalf of the **Data Controller** ^^even without determining the purposes & means of processing.^^ + - A Cloud Service Provider that offers personal data processing services directly to Data Subjects will be considered a **Data Controller**. + - What are some key benefits of GDPR for Data Subjects? #card + collapsed:: true + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:45:06.983Z + card-last-reviewed:: 2022-10-03T11:45:06.983Z + card-last-score:: 3 + - More information must be given to data subjects (e.g., how long the data will be kept, right to lodge a complaint). + - The Data Controller must explain & document the legal basis for processing the personal data. + - GDPR tightens the rules on how consent can be obtained. + - Must be distinguishable from other matters and in clear, plain language. + - It must be as easy to withdraw consent as it is to give it. + - Mandatory notification of security breaches without "undue delay" to the Data Protection Commissioner (within 72 hours). + - What are some key rights of Data Subjects? #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-27T18:42:55.024Z + card-last-reviewed:: 2022-10-10T11:42:55.025Z + card-last-score:: 3 + - Right of Access (copy to be provided within one month) + - Right to Erasure (the right to be forgotten) + - Right to Restriction of Processing + - Right to Object to Processing + - Right not to be subject to a decision based solely upon automated processing + - What are **Personal Data Security Breaches**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T13:28:54.471Z + card-last-reviewed:: 2022-09-30T08:28:54.471Z + card-last-score:: 5 + - **Personal Data Security Breaches** include: + - Disclosure of confidential data to unauthorised individuals. + - Loss or theft of data or equipment upon which data is stored. + - Hacking, viruses, or other security attacks on IT equipment / systems / networks. + - Inappropriate access controls allowing unauthorised use of information. + - Emails containing personal data sent in error to the wrong recipient. + - Personal Data Security Breaches apply to both paper & electronic records. +- +- ## HTTP Cookies + - What is a **(HTTP) Cookie**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:31:55.799Z + card-last-reviewed:: 2022-10-07T10:31:55.800Z + card-last-score:: 3 + - A **(HTTP) Cookie** is a small piece of data stored on the user's computer by the web browser while browsing a website. + - Cookies were designed to be a reliable mechanism for websites to remember stateful information (such as items in the shopping cart in an online store) or to record the user's browsing activity. + - They can be also be used to remember pieces of information that the user previously entered into form fields. + - **Authentication Cookies** are the most common method used by web servers to know whether the user is logged in or not, and which account they are logged into. + - + - #### Cookie Implementation + - How are cookies implemented? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:37:51.259Z + card-last-score:: 1 + - Cookies are ^^arbitrary pieces of data^^ (i.e., large, random strings), usually chosen & first sent by the web server, and stored on the client computer by the web browser. + - The browser then sends them back to the server with every request. + - Browsers are required to: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:33:35.161Z + card-last-score:: 1 + - support cookies as large as 4,906 bytes in size + - support at least 50 cookies per domain + - support at least 3,000 cookies in total + - + - #### Cookie Structure + - What are the components of a cookie? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:35:57.374Z + card-last-score:: 1 + - A cookie consists of the following components: + - Name + - Value + - Zero or more attributes (name - value pairs). These attributes store information such as the cookie's expiration, domain, and flags (such as *Secure* and *HttpOnly*) + - + - ### Session Cookies + - What is a **session cookie**? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:44:48.596Z + card-last-reviewed:: 2022-10-03T11:44:48.597Z + card-last-score:: 3 + - A **session cookie** (aka in-memory cookie, transient cookie, or non-persistent cookie) is a cookie that ^^exists only in temporary memory while the user navigates its website.^^ + - Web browsers normally delete session cookies when the user closes the browser. + - Session cookies do not have an expiration date assigned to them, which is how the browser know to treat them as session cookies. + - + - + - ### Persistent Cookies + - What is a **persistent cookie**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T20:29:49.936Z + card-last-reviewed:: 2022-10-03T14:29:49.936Z + card-last-score:: 5 + - A **persistent cookie** is a cookie which ^^expires at a specific data or after a specific length of time.^^ + - A persistent cookie's information will be transmitted to the server every time the user visits the website that the cookie belongs to, for the lifespan of the persistent cookie (as set by its creator), or every time that the user views a resource belonging to that website from another website (such as an advertisement). + - + - Persistent cookies are sometimes referred to as **tracking cookies** because they can be used by advertisers to record information about a user's web browsing habits. + - However, tracking cookies are mainly used for legitimate reasons, such as keeping users logged into their accounts on website to avoid re-entering login credentials at every visit. + - + - ### Cookie Attributes + - Consider the following response header sent by a webserver that contains 3 persistent cookies: + - ![image.png](../assets/image_1662819462897_0.png) + - What do the *Domain* and *Path* attributes do? #card + card-last-interval:: 2.98 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T14:29:23.228Z + card-last-reviewed:: 2022-10-08T15:29:23.228Z + card-last-score:: 3 + - The *Domain* and *Path* attributes define the cookie's scope. + - What does the *Secure* attribute do? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-01T19:10:41.850Z + card-last-reviewed:: 2022-10-04T12:10:41.851Z + card-last-score:: 5 + - The *Secure* attribute ensures that the cookie can only be transmitted over an **encrypted connection**, making it a "**secure cookie**". + - What does the *HttpOnly* attribute do? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-10T19:21:36.210Z + card-last-reviewed:: 2022-10-01T13:21:36.211Z + card-last-score:: 3 + - The *HttpOnly* attribute ^^directs cookies not to expose cookies through channels other than HTTP / HTTPS.^^ + - This means that this HttpOnly cookie cannot be accessed via client-side scripting languages (notably JavaScript). +- +- ## GDPR & Cookies + - Generally, a user's consent must be sought before a cookie is installed in a web browser. + - There are **two** expemptions: + - The **Communications Exemption** + - The **Strictly Necessary Exemption** + - + - What is the **Communications Exemption**? #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-27T18:43:32.762Z + card-last-reviewed:: 2022-10-10T11:43:32.763Z + card-last-score:: 3 + - The **Communications Exemption** applies to cookies ^^whose sole purpose is for carrying out the transmission of a communication over a network^^, for example, to identify the communication endpoints. + - Cookies that meet these criteria are exempted from being required to ask for the user's consent prior to installation. + - **Example:** load-balancing cookies that distribute network traffic across different backend servers, also known as **session stickiness**. + - Here, a **load-balancer** creates an affinity between a client and a specific network server for the duration of a session using a cookie with a random & unique tracking ID. + - Subsequently, the load-balancer routes all the of the requests from this client to a specific backend server using the tracking ID, for the duration of the session. + - ![image.png](../assets/image_1662820187995_0.png){:height 426, :width 529} + - + - + - What is the **Strictly Necessary** exemption? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:15:51.772Z + card-last-reviewed:: 2022-09-30T12:15:51.773Z + card-last-score:: 5 + - The **Strictly Necessary** exemption exempts cookies that are strictly necessary to provide the service of delivered over the internet, i.e., a website or app from being required to ask the user's consent prior to installation. + - ^^This service must have been explicitly requested by the user (i.e., typing in the URL), and the use of the cookie must be restricted to what is strictly necessary to provide that service.^^ + - Cookies related to advertising are **not** strictly necessary, and must be consented to. + - Examples: + - A website uses session cookies to keep track of items that a user places in an online shopping basket (assuming that this cookie will be deleted once the session is over). + - Cookies that a record a user's language or country preference. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-11-09T13_03_58.116Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-11-09T13_03_58.116Z.Desktop.md new file mode 100644 index 00000000..5c51f8a1 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-11-09T13_03_58.116Z.Desktop.md @@ -0,0 +1,459 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous topic:** [[Introduction to Cybersecurity]] +- **Next Topic:** [[Introduction to Cryptography]] +- **Relevant lecture slides:** ![Lecture01.pdf](../assets/Lecture01_1662819128126_0.pdf) +- +- ## Motivation + - What are **Cyberattacks**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:25:05.425Z + card-last-reviewed:: 2022-10-01T13:25:05.425Z + card-last-score:: 5 + - Cyberattacks are aimed at **accessing, changing, or destroying sensitive information**, extorting money, or interrupting normal business processes. + - Managing sensitive data may reduce the attack probability, or at least its impact. + - **GDPR** provides such a regulatory framework +- +- ## General Data Protection Regulation + - What is **GDPR**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-25T02:35:29.600Z + card-last-reviewed:: 2022-10-03T14:35:29.600Z + card-last-score:: 5 + - The **General Data Protection Regulation** is a binding regulation in EU law on data protection in the European Union and the European Economic Area (EEA). + - The primary aim of GDPR is to ^^enhance individuals' control & rights over their personal data and to simplify the regulatory environment for international business.^^ + - The regulation contains ^^provisions & requirements related to the processing of personal data of individuals^^ who are located in the EEA, and applies to any enterprise that is processing the personal data of individuals inside the EEA - ^^regardless of its location and the data subjects' citizenship or residence.^^ + - ### GDPR Overview + - The GDPR sets out several key principles: #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-30T11:48:25.295Z + card-last-reviewed:: 2022-10-26T11:48:25.296Z + card-last-score:: 3 + - Lawfulness + - Fairness & Transparency + - Purpose Limitation + - Data Minimsation + - Accuracy + - Storage Limitation + - Integrity & Confidentiality (Security) + - Accountability + - What is **Lawfulness** in GDPR? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:33:16.784Z + card-last-reviewed:: 2022-10-20T08:33:16.785Z + card-last-score:: 5 + - You must identify ^^**valid grounds** under the GDPR (known as a "**lawful basis**")^^ for collecting & using personal data. + - Processing shall be lawful if and to the extent that at least one of the following applies: + - Consensual + - Necessary for the performance of a contract + - Necessary for compliance with a legal obligation + - Necessary to protect the vital interests of the data subject or another person + - Necessary for the performance of a task carried out in public interest + - Necessary for the purpose of legitimate interests + - What is **Fairness & Transparency** in GDPR? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-28T22:35:32.027Z + card-last-reviewed:: 2022-10-07T10:35:32.027Z + card-last-score:: 3 + - You must ^^use personal data in a way that is fair.^^ This means that you must not process the data in a way that is unduly detrimental, unexpected, or misleading to the individuals concerned. + - You must be ^^clear, open, & honest^^ with data subjects from the start about how you will use their personal data. + - At the time personal data is being collected from data subjects, they must be informed via a "**Data Protection Notice**". + - What is a **Data Protection Notice**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-16T07:36:37.829Z + card-last-reviewed:: 2022-10-07T10:36:37.829Z + card-last-score:: 3 + - A **Data Protection Notice** entails: + - The identity & contact details of the **data controller** + - The contact details of the **data protection officer** + - The **purpose of the processing** & the legal basis for the processing + - The recipients or categories of **recipients of the data** + - Details of any transfers out of the EEA, the safeguards in place, and the means by which to obtain a copy of them + - The **data retention** period or the criteria to determine the data retention period + - The **individual's rights** (access, rectification & erasure, restriction, complaint) + - What is **Purpose Limitation** in GDPR? #card + card-last-interval:: 26.21 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-02T15:18:23.577Z + card-last-reviewed:: 2022-10-07T10:18:23.578Z + card-last-score:: 5 + - You must be ^^clear about what your purposes for processing^^ are from the start. + - You must ^^record your purposes^^ as part of your documentation obligations and specify them in your privacy information for individuals. + - You ^^can only use the personal data for a new purpose^^ if it is either compatible with your original purpose, you get **consent**, or you have a **clear basis in law**. + - What is **Data Minimisation** in GDPR? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:23.953Z + card-last-reviewed:: 2022-10-01T17:35:23.953Z + card-last-score:: 5 + - You must ensure that the personal data that you are processing is: + - **adequate** - sufficient to properly fulfil your stated purpose + - **relevant** - has a rational link to that purpose + - **limited** to what is necessary - you do not hold more than what you need for your stated purpose + - What is **Accuracy** in GDPR? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:35:02.681Z + card-last-reviewed:: 2022-10-20T08:35:02.682Z + card-last-score:: 5 + - You should take all reasonable steps to ensure that the personal data you hold is ^^not incorrect or misleading^^ as to any matter of fact. + - You may need to ^^keep the personal data updated^^, although this will depend on what you are using it for. + - If you ^^discover that personal data is incorrect or misleading^^, you must take reasonable steps to correct or erase it as soon as possible. + - You must ^^carefully consider any challenges to the accuracy^^ of personal data. + - What is **Storage Limitation** in GDPR? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:26:30.278Z + card-last-reviewed:: 2022-09-30T08:26:30.278Z + card-last-score:: 5 + - You must not keep personal data for ^^longer than you need it^^. + - You need to think about - and be able to justify - ^^how long you keep personal data^^. This will depend on your purposes for holding the data. + - You need a policy ^^setting standard retention periods^^ wherever possible, to comply with documentation requirements. + - You should also ^^periodically review the data you hold^^, and erase or anonymise it when you no longer need it. + - You must ^^carefully consider any challenges to your retention of data^^. + - Individuals have a **right to erasure** if you no longer need the data. + - You can ^^keep personal data for longer^^ if you are only keeping it for ^^personal interest archiving, scientific or historical research, or statistical purposes.^^ + - What is **Accountability & Governance** in GDPR? #card + card-last-interval:: 10.56 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-14T00:40:56.633Z + card-last-reviewed:: 2022-10-03T11:40:56.633Z + card-last-score:: 5 + - **Accountability** is one of the **data protection principles** - it makes you responsible for complying with the GDPR and says that ^^you must be able to demonstrate your compliance.^^ + - You need to put in place appropriate technical & organisational measures to meet the requirements of accountability. + - Accountability requires controllers to maintain records of processing activities in order to demonstrate how they comply with the data protection principles, i.e.: + - Inventory of personal data + - Providing assurance of compliance + - Need to document + - Why it is held + - How it is collected + - When it will be deleted + - Who may gain access to it + - What is **Integrity & Confidentiality** in GDPR? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-16T15:43:04.896Z + card-last-reviewed:: 2022-10-19T08:43:04.897Z + card-last-score:: 5 + - A key principle of GDPR is that you process personal data ^^securely by means of "appropriate technical & organisational measures"^^ - this is the "**security principle**". + - Doing this requires you to consider things like ^^risk analysis, organisational policies, and physical + technical measures.^^ + - Where appropriate, you should look to use measures such as **pseudoanonymisation** and **encryption**. + - Your measures must ensure the ^^"confidentiality, integrity, & availability"^^ of your systems & services and the personal data you process with them. + - The measures must also enable you to ^^restore access & availability^^ to personal data in a timely manner in the event of a physical or technical incident. + - What is **Data Protection**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:38:02.257Z + card-last-reviewed:: 2022-10-10T11:38:02.257Z + card-last-score:: 3 + - **Data Protection** is about an ^^individual's fundamental right to privacy.^^ + - When an individual gives their personal data to any organisation, the recipient has the duty to keep the data both safe & private. This applies to both printed & electronic data. + - What does Data Protection Legislation do? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:42:07.775Z + card-last-reviewed:: 2022-10-03T11:42:07.775Z + card-last-score:: 3 + - Data Protection Legislation: + - governs the way we deal with personal data / information + - provides a mechanism for safeguarding the privacy rights of individuals in relation to the processing of their data + - upholds rights and enforces obligations + - What is **Personal Data**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:44:35.417Z + card-last-reviewed:: 2022-10-03T11:44:35.417Z + card-last-score:: 5 + - **Personal Data** is any information relating to an identified or ^^identifiable natural person^^ ("data subject"). + - What is an **identifiable natural person**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:44:29.504Z + card-last-reviewed:: 2022-10-03T11:44:29.504Z + card-last-score:: 5 + - An **identifiable natural person** is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier to one or more factors specific to the ^^physical, physiological, genetic, mental, economic, cultural, or social identity^^ of that natural person. + - What is **Data Processing**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-31T23:43:37.835Z + card-last-reviewed:: 2022-10-10T11:43:37.836Z + card-last-score:: 5 + - **Data Processing** is ^^performing any operation on personal data^^, either manually or by automated means, including: + - Obtaining + - Storing + - Transmitting + - Recording + - Organising + - Altering + - Disclosing + - Erasing + - ### Entities in GDPR + - GDPR distinguishes between: + - The **Data Subject** + - The **Data Protection Officer (DPO)** + - The **Data Controller** + - The **Data Processor** + - + - What is the **Data Subject**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:03.265Z + card-last-reviewed:: 2022-10-03T14:28:03.266Z + card-last-score:: 5 + - The **Data Subject** is the person to whom the data relates. + - GDPR only applies to living individuals, but any duty of confidence in place prior to the death extends beyond that point. + - In Ireland, the next of kin of the deceased are entitled to a Freedom of Information request to the deceased's personal data. + - What is the **DPO**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:39:55.084Z + card-last-reviewed:: 2022-10-10T11:39:55.085Z + card-last-score:: 3 + - The primary role of the **Data Protection Officer (DPO)** is to ^^ensure that their organisation processes the personal data of its staff, customers, and other data subjects in compliance with the applicable data protection rules.^^ + - The Data Protection officer is required to be an expert within this field, along with the requirement for them to report to the highest management level. + - With this being a challenging aspect of GDPR compliance for smaller organisations, there is the option to make an external appointment of a third-part DPO. + - When is the DPO a mandatory role? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:15:05.911Z + card-last-reviewed:: 2022-10-07T10:15:05.911Z + card-last-score:: 3 + - The DPO is a mandatory role within 3 different scenarios: + - 1. When the processing is undertaken by a public authority or body. + - 2. When an organisation's main activities require the frequent & large-scale monitoring of individual people. + - 3. Where large-scale processing of special categories of data or data relating to criminal records forms the core activities. + - What is the **Data Controller**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T15:33:20.988Z + card-last-reviewed:: 2022-10-08T15:33:20.988Z + card-last-score:: 5 + - The **Data Controller** is the company or an individual who ^^has overall control over the processing of personal data.^^ + - The Data Controller takes on the responsibility for GDPR compliance. + - A Data Controller needs to have had sufficient training and to be able to competently ensure the security & protection of data held within the organisation. + - What is the **Data Processor**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:38:22.885Z + card-last-score:: 1 + - The **Data Processor** is the person who is ^^responsible for the processing of personal information.^^ + - Generally, this role is undertaken under the instruction of the **data controller**. + - This might mean obtaining or recording the data, its adaption, and use. It may also include the disclosure of the data or making it available to others. + - Generally, the Data Processor is involved in the more technical elements of the operation, while the interpretation & main decision-making is the role of the Data Controller. + - + - ### Cloud Services & GDPR + - What makes a **Cloud Service Provider** a **Data Processor**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-18T05:00:00.250Z + card-last-reviewed:: 2022-10-08T23:00:00.251Z + card-last-score:: 5 + - A **Cloud Service Provider** will be considered a **Data Processor** under GDPR if it provides **data processing services** (e.g., storage) on behalf of the **Data Controller** ^^even without determining the purposes & means of processing.^^ + - A Cloud Service Provider that offers personal data processing services directly to Data Subjects will be considered a **Data Controller**. + - What are some key benefits of GDPR for Data Subjects? #card + collapsed:: true + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:45:06.983Z + card-last-reviewed:: 2022-10-03T11:45:06.983Z + card-last-score:: 3 + - More information must be given to data subjects (e.g., how long the data will be kept, right to lodge a complaint). + - The Data Controller must explain & document the legal basis for processing the personal data. + - GDPR tightens the rules on how consent can be obtained. + - Must be distinguishable from other matters and in clear, plain language. + - It must be as easy to withdraw consent as it is to give it. + - Mandatory notification of security breaches without "undue delay" to the Data Protection Commissioner (within 72 hours). + - What are some key rights of Data Subjects? #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-27T18:42:55.024Z + card-last-reviewed:: 2022-10-10T11:42:55.025Z + card-last-score:: 3 + - Right of Access (copy to be provided within one month) + - Right to Erasure (the right to be forgotten) + - Right to Restriction of Processing + - Right to Object to Processing + - Right not to be subject to a decision based solely upon automated processing + - What are **Personal Data Security Breaches**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:32:03.843Z + card-last-reviewed:: 2022-10-20T08:32:03.844Z + card-last-score:: 5 + - **Personal Data Security Breaches** include: + - Disclosure of confidential data to unauthorised individuals. + - Loss or theft of data or equipment upon which data is stored. + - Hacking, viruses, or other security attacks on IT equipment / systems / networks. + - Inappropriate access controls allowing unauthorised use of information. + - Emails containing personal data sent in error to the wrong recipient. + - Personal Data Security Breaches apply to both paper & electronic records. +- +- ## HTTP Cookies + - What is a **(HTTP) Cookie**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:31:55.799Z + card-last-reviewed:: 2022-10-07T10:31:55.800Z + card-last-score:: 3 + - A **(HTTP) Cookie** is a small piece of data stored on the user's computer by the web browser while browsing a website. + - Cookies were designed to be a reliable mechanism for websites to remember stateful information (such as items in the shopping cart in an online store) or to record the user's browsing activity. + - They can be also be used to remember pieces of information that the user previously entered into form fields. + - **Authentication Cookies** are the most common method used by web servers to know whether the user is logged in or not, and which account they are logged into. + - + - #### Cookie Implementation + - How are cookies implemented? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:37:51.259Z + card-last-score:: 1 + - Cookies are ^^arbitrary pieces of data^^ (i.e., large, random strings), usually chosen & first sent by the web server, and stored on the client computer by the web browser. + - The browser then sends them back to the server with every request. + - Browsers are required to: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:33:35.161Z + card-last-score:: 1 + - support cookies as large as 4,906 bytes in size + - support at least 50 cookies per domain + - support at least 3,000 cookies in total + - + - #### Cookie Structure + - What are the components of a cookie? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:35:57.374Z + card-last-score:: 1 + - A cookie consists of the following components: + - Name + - Value + - Zero or more attributes (name - value pairs). These attributes store information such as the cookie's expiration, domain, and flags (such as *Secure* and *HttpOnly*) + - + - ### Session Cookies + - What is a **session cookie**? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:44:48.596Z + card-last-reviewed:: 2022-10-03T11:44:48.597Z + card-last-score:: 3 + - A **session cookie** (aka in-memory cookie, transient cookie, or non-persistent cookie) is a cookie that ^^exists only in temporary memory while the user navigates its website.^^ + - Web browsers normally delete session cookies when the user closes the browser. + - Session cookies do not have an expiration date assigned to them, which is how the browser know to treat them as session cookies. + - + - + - ### Persistent Cookies + - What is a **persistent cookie**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T20:29:49.936Z + card-last-reviewed:: 2022-10-03T14:29:49.936Z + card-last-score:: 5 + - A **persistent cookie** is a cookie which ^^expires at a specific data or after a specific length of time.^^ + - A persistent cookie's information will be transmitted to the server every time the user visits the website that the cookie belongs to, for the lifespan of the persistent cookie (as set by its creator), or every time that the user views a resource belonging to that website from another website (such as an advertisement). + - + - Persistent cookies are sometimes referred to as **tracking cookies** because they can be used by advertisers to record information about a user's web browsing habits. + - However, tracking cookies are mainly used for legitimate reasons, such as keeping users logged into their accounts on website to avoid re-entering login credentials at every visit. + - + - ### Cookie Attributes + - Consider the following response header sent by a webserver that contains 3 persistent cookies: + - ![image.png](../assets/image_1662819462897_0.png) + - What do the *Domain* and *Path* attributes do? #card + card-last-interval:: 2.98 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T14:29:23.228Z + card-last-reviewed:: 2022-10-08T15:29:23.228Z + card-last-score:: 3 + - The *Domain* and *Path* attributes define the cookie's scope. + - What does the *Secure* attribute do? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-01T19:10:41.850Z + card-last-reviewed:: 2022-10-04T12:10:41.851Z + card-last-score:: 5 + - The *Secure* attribute ensures that the cookie can only be transmitted over an **encrypted connection**, making it a "**secure cookie**". + - What does the *HttpOnly* attribute do? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-12T18:37:21.841Z + card-last-reviewed:: 2022-10-20T08:37:21.841Z + card-last-score:: 5 + - The *HttpOnly* attribute ^^directs cookies not to expose cookies through channels other than HTTP / HTTPS.^^ + - This means that this HttpOnly cookie cannot be accessed via client-side scripting languages (notably JavaScript). +- +- ## GDPR & Cookies + - Generally, a user's consent must be sought before a cookie is installed in a web browser. + - There are **two** expemptions: + - The **Communications Exemption** + - The **Strictly Necessary Exemption** + - + - What is the **Communications Exemption**? #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-27T18:43:32.762Z + card-last-reviewed:: 2022-10-10T11:43:32.763Z + card-last-score:: 3 + - The **Communications Exemption** applies to cookies ^^whose sole purpose is for carrying out the transmission of a communication over a network^^, for example, to identify the communication endpoints. + - Cookies that meet these criteria are exempted from being required to ask for the user's consent prior to installation. + - **Example:** load-balancing cookies that distribute network traffic across different backend servers, also known as **session stickiness**. + - Here, a **load-balancer** creates an affinity between a client and a specific network server for the duration of a session using a cookie with a random & unique tracking ID. + - Subsequently, the load-balancer routes all the of the requests from this client to a specific backend server using the tracking ID, for the duration of the session. + - ![image.png](../assets/image_1662820187995_0.png){:height 426, :width 529} + - + - + - What is the **Strictly Necessary** exemption? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:34:39.740Z + card-last-reviewed:: 2022-10-20T08:34:39.740Z + card-last-score:: 5 + - The **Strictly Necessary** exemption exempts cookies that are strictly necessary to provide the service of delivered over the internet, i.e., a website or app from being required to ask the user's consent prior to installation. + - ^^This service must have been explicitly requested by the user (i.e., typing in the URL), and the use of the cookie must be restricted to what is strictly necessary to provide that service.^^ + - Cookies related to advertising are **not** strictly necessary, and must be consented to. + - Examples: + - A website uses session cookies to keep track of items that a user places in an online shopping basket (assuming that this cookie will be deleted once the session is over). + - Cookies that a record a user's language or country preference. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-11-11T12_04_45.335Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-11-11T12_04_45.335Z.Desktop.md new file mode 100644 index 00000000..ce25aa0b --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/GDPR/2022-11-11T12_04_45.335Z.Desktop.md @@ -0,0 +1,459 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous topic:** [[Introduction to Cybersecurity]] +- **Next Topic:** [[Introduction to Cryptography]] +- **Relevant lecture slides:** ![Lecture01.pdf](../assets/Lecture01_1662819128126_0.pdf) +- +- ## Motivation + - What are **Cyberattacks**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:25:05.425Z + card-last-reviewed:: 2022-10-01T13:25:05.425Z + card-last-score:: 5 + - Cyberattacks are aimed at **accessing, changing, or destroying sensitive information**, extorting money, or interrupting normal business processes. + - Managing sensitive data may reduce the attack probability, or at least its impact. + - **GDPR** provides such a regulatory framework +- +- ## General Data Protection Regulation + - What is **GDPR**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-25T02:35:29.600Z + card-last-reviewed:: 2022-10-03T14:35:29.600Z + card-last-score:: 5 + - The **General Data Protection Regulation** is a binding regulation in EU law on data protection in the European Union and the European Economic Area (EEA). + - The primary aim of GDPR is to ^^enhance individuals' control & rights over their personal data and to simplify the regulatory environment for international business.^^ + - The regulation contains ^^provisions & requirements related to the processing of personal data of individuals^^ who are located in the EEA, and applies to any enterprise that is processing the personal data of individuals inside the EEA - ^^regardless of its location and the data subjects' citizenship or residence.^^ + - ### GDPR Overview + - The GDPR sets out several key principles: #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-30T11:48:25.295Z + card-last-reviewed:: 2022-10-26T11:48:25.296Z + card-last-score:: 3 + - Lawfulness + - Fairness & Transparency + - Purpose Limitation + - Data Minimsation + - Accuracy + - Storage Limitation + - Integrity & Confidentiality (Security) + - Accountability + - What is **Lawfulness** in GDPR? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:33:16.784Z + card-last-reviewed:: 2022-10-20T08:33:16.785Z + card-last-score:: 5 + - You must identify ^^**valid grounds** under the GDPR (known as a "**lawful basis**")^^ for collecting & using personal data. + - Processing shall be lawful if and to the extent that at least one of the following applies: + - Consensual + - Necessary for the performance of a contract + - Necessary for compliance with a legal obligation + - Necessary to protect the vital interests of the data subject or another person + - Necessary for the performance of a task carried out in public interest + - Necessary for the purpose of legitimate interests + - What is **Fairness & Transparency** in GDPR? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-28T22:35:32.027Z + card-last-reviewed:: 2022-10-07T10:35:32.027Z + card-last-score:: 3 + - You must ^^use personal data in a way that is fair.^^ This means that you must not process the data in a way that is unduly detrimental, unexpected, or misleading to the individuals concerned. + - You must be ^^clear, open, & honest^^ with data subjects from the start about how you will use their personal data. + - At the time personal data is being collected from data subjects, they must be informed via a "**Data Protection Notice**". + - What is a **Data Protection Notice**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-16T07:36:37.829Z + card-last-reviewed:: 2022-10-07T10:36:37.829Z + card-last-score:: 3 + - A **Data Protection Notice** entails: + - The identity & contact details of the **data controller** + - The contact details of the **data protection officer** + - The **purpose of the processing** & the legal basis for the processing + - The recipients or categories of **recipients of the data** + - Details of any transfers out of the EEA, the safeguards in place, and the means by which to obtain a copy of them + - The **data retention** period or the criteria to determine the data retention period + - The **individual's rights** (access, rectification & erasure, restriction, complaint) + - What is **Purpose Limitation** in GDPR? #card + card-last-interval:: 26.21 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-02T15:18:23.577Z + card-last-reviewed:: 2022-10-07T10:18:23.578Z + card-last-score:: 5 + - You must be ^^clear about what your purposes for processing^^ are from the start. + - You must ^^record your purposes^^ as part of your documentation obligations and specify them in your privacy information for individuals. + - You ^^can only use the personal data for a new purpose^^ if it is either compatible with your original purpose, you get **consent**, or you have a **clear basis in law**. + - What is **Data Minimisation** in GDPR? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:23.953Z + card-last-reviewed:: 2022-10-01T17:35:23.953Z + card-last-score:: 5 + - You must ensure that the personal data that you are processing is: + - **adequate** - sufficient to properly fulfil your stated purpose + - **relevant** - has a rational link to that purpose + - **limited** to what is necessary - you do not hold more than what you need for your stated purpose + - What is **Accuracy** in GDPR? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:35:02.681Z + card-last-reviewed:: 2022-10-20T08:35:02.682Z + card-last-score:: 5 + - You should take all reasonable steps to ensure that the personal data you hold is ^^not incorrect or misleading^^ as to any matter of fact. + - You may need to ^^keep the personal data updated^^, although this will depend on what you are using it for. + - If you ^^discover that personal data is incorrect or misleading^^, you must take reasonable steps to correct or erase it as soon as possible. + - You must ^^carefully consider any challenges to the accuracy^^ of personal data. + - What is **Storage Limitation** in GDPR? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:26:30.278Z + card-last-reviewed:: 2022-09-30T08:26:30.278Z + card-last-score:: 5 + - You must not keep personal data for ^^longer than you need it^^. + - You need to think about - and be able to justify - ^^how long you keep personal data^^. This will depend on your purposes for holding the data. + - You need a policy ^^setting standard retention periods^^ wherever possible, to comply with documentation requirements. + - You should also ^^periodically review the data you hold^^, and erase or anonymise it when you no longer need it. + - You must ^^carefully consider any challenges to your retention of data^^. + - Individuals have a **right to erasure** if you no longer need the data. + - You can ^^keep personal data for longer^^ if you are only keeping it for ^^personal interest archiving, scientific or historical research, or statistical purposes.^^ + - What is **Accountability & Governance** in GDPR? #card + card-last-interval:: 10.56 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-14T00:40:56.633Z + card-last-reviewed:: 2022-10-03T11:40:56.633Z + card-last-score:: 5 + - **Accountability** is one of the **data protection principles** - it makes you responsible for complying with the GDPR and says that ^^you must be able to demonstrate your compliance.^^ + - You need to put in place appropriate technical & organisational measures to meet the requirements of accountability. + - Accountability requires controllers to maintain records of processing activities in order to demonstrate how they comply with the data protection principles, i.e.: + - Inventory of personal data + - Providing assurance of compliance + - Need to document + - Why it is held + - How it is collected + - When it will be deleted + - Who may gain access to it + - What is **Integrity & Confidentiality** in GDPR? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-16T15:43:04.896Z + card-last-reviewed:: 2022-10-19T08:43:04.897Z + card-last-score:: 5 + - A key principle of GDPR is that you process personal data ^^securely by means of "appropriate technical & organisational measures"^^ - this is the "**security principle**". + - Doing this requires you to consider things like ^^risk analysis, organisational policies, and physical + technical measures.^^ + - Where appropriate, you should look to use measures such as **pseudoanonymisation** and **encryption**. + - Your measures must ensure the ^^"confidentiality, integrity, & availability"^^ of your systems & services and the personal data you process with them. + - The measures must also enable you to ^^restore access & availability^^ to personal data in a timely manner in the event of a physical or technical incident. + - What is **Data Protection**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:38:02.257Z + card-last-reviewed:: 2022-10-10T11:38:02.257Z + card-last-score:: 3 + - **Data Protection** is about an ^^individual's fundamental right to privacy.^^ + - When an individual gives their personal data to any organisation, the recipient has the duty to keep the data both safe & private. This applies to both printed & electronic data. + - What does Data Protection Legislation do? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:42:07.775Z + card-last-reviewed:: 2022-10-03T11:42:07.775Z + card-last-score:: 3 + - Data Protection Legislation: + - governs the way we deal with personal data / information + - provides a mechanism for safeguarding the privacy rights of individuals in relation to the processing of their data + - upholds rights and enforces obligations + - What is **Personal Data**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:44:35.417Z + card-last-reviewed:: 2022-10-03T11:44:35.417Z + card-last-score:: 5 + - **Personal Data** is any information relating to an identified or ^^identifiable natural person^^ ("data subject"). + - What is an **identifiable natural person**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:44:29.504Z + card-last-reviewed:: 2022-10-03T11:44:29.504Z + card-last-score:: 5 + - An **identifiable natural person** is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier to one or more factors specific to the ^^physical, physiological, genetic, mental, economic, cultural, or social identity^^ of that natural person. + - What is **Data Processing**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-31T23:43:37.835Z + card-last-reviewed:: 2022-10-10T11:43:37.836Z + card-last-score:: 5 + - **Data Processing** is ^^performing any operation on personal data^^, either manually or by automated means, including: + - Obtaining + - Storing + - Transmitting + - Recording + - Organising + - Altering + - Disclosing + - Erasing + - ### Entities in GDPR + - GDPR distinguishes between: + - The **Data Subject** + - The **Data Protection Officer (DPO)** + - The **Data Controller** + - The **Data Processor** + - + - What is the **Data Subject**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:03.265Z + card-last-reviewed:: 2022-10-03T14:28:03.266Z + card-last-score:: 5 + - The **Data Subject** is the person to whom the data relates. + - GDPR only applies to living individuals, but any duty of confidence in place prior to the death extends beyond that point. + - In Ireland, the next of kin of the deceased are entitled to a Freedom of Information request to the deceased's personal data. + - What is the **DPO**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:39:55.084Z + card-last-reviewed:: 2022-10-10T11:39:55.085Z + card-last-score:: 3 + - The primary role of the **Data Protection Officer (DPO)** is to ^^ensure that their organisation processes the personal data of its staff, customers, and other data subjects in compliance with the applicable data protection rules.^^ + - The Data Protection officer is required to be an expert within this field, along with the requirement for them to report to the highest management level. + - With this being a challenging aspect of GDPR compliance for smaller organisations, there is the option to make an external appointment of a third-part DPO. + - When is the DPO a mandatory role? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:15:05.911Z + card-last-reviewed:: 2022-10-07T10:15:05.911Z + card-last-score:: 3 + - The DPO is a mandatory role within 3 different scenarios: + - 1. When the processing is undertaken by a public authority or body. + - 2. When an organisation's main activities require the frequent & large-scale monitoring of individual people. + - 3. Where large-scale processing of special categories of data or data relating to criminal records forms the core activities. + - What is the **Data Controller**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T15:33:20.988Z + card-last-reviewed:: 2022-10-08T15:33:20.988Z + card-last-score:: 5 + - The **Data Controller** is the company or an individual who ^^has overall control over the processing of personal data.^^ + - The Data Controller takes on the responsibility for GDPR compliance. + - A Data Controller needs to have had sufficient training and to be able to competently ensure the security & protection of data held within the organisation. + - What is the **Data Processor**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:38:22.885Z + card-last-score:: 1 + - The **Data Processor** is the person who is ^^responsible for the processing of personal information.^^ + - Generally, this role is undertaken under the instruction of the **data controller**. + - This might mean obtaining or recording the data, its adaption, and use. It may also include the disclosure of the data or making it available to others. + - Generally, the Data Processor is involved in the more technical elements of the operation, while the interpretation & main decision-making is the role of the Data Controller. + - + - ### Cloud Services & GDPR + - What makes a **Cloud Service Provider** a **Data Processor**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-18T05:00:00.250Z + card-last-reviewed:: 2022-10-08T23:00:00.251Z + card-last-score:: 5 + - A **Cloud Service Provider** will be considered a **Data Processor** under GDPR if it provides **data processing services** (e.g., storage) on behalf of the **Data Controller** ^^even without determining the purposes & means of processing.^^ + - A Cloud Service Provider that offers personal data processing services directly to Data Subjects will be considered a **Data Controller**. + - What are some key benefits of GDPR for Data Subjects? #card + collapsed:: true + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:45:06.983Z + card-last-reviewed:: 2022-10-03T11:45:06.983Z + card-last-score:: 3 + - More information must be given to data subjects (e.g., how long the data will be kept, right to lodge a complaint). + - The Data Controller must explain & document the legal basis for processing the personal data. + - GDPR tightens the rules on how consent can be obtained. + - Must be distinguishable from other matters and in clear, plain language. + - It must be as easy to withdraw consent as it is to give it. + - Mandatory notification of security breaches without "undue delay" to the Data Protection Commissioner (within 72 hours). + - What are some key rights of Data Subjects? #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-27T18:42:55.024Z + card-last-reviewed:: 2022-10-10T11:42:55.025Z + card-last-score:: 3 + - Right of Access (copy to be provided within one month) + - Right to Erasure (the right to be forgotten) + - Right to Restriction of Processing + - Right to Object to Processing + - Right not to be subject to a decision based solely upon automated processing + - What are **Personal Data Security Breaches**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:32:03.843Z + card-last-reviewed:: 2022-10-20T08:32:03.844Z + card-last-score:: 5 + - **Personal Data Security Breaches** include: + - Disclosure of confidential data to unauthorised individuals. + - Loss or theft of data or equipment upon which data is stored. + - Hacking, viruses, or other security attacks on IT equipment / systems / networks. + - Inappropriate access controls allowing unauthorised use of information. + - Emails containing personal data sent in error to the wrong recipient. + - Personal Data Security Breaches apply to both paper & electronic records. +- +- ## HTTP Cookies + - What is a **(HTTP) Cookie**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:31:55.799Z + card-last-reviewed:: 2022-10-07T10:31:55.800Z + card-last-score:: 3 + - A **(HTTP) Cookie** is a small piece of data stored on the user's computer by the web browser while browsing a website. + - Cookies were designed to be a reliable mechanism for websites to remember stateful information (such as items in the shopping cart in an online store) or to record the user's browsing activity. + - They can be also be used to remember pieces of information that the user previously entered into form fields. + - **Authentication Cookies** are the most common method used by web servers to know whether the user is logged in or not, and which account they are logged into. + - + - #### Cookie Implementation + - How are cookies implemented? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:37:51.259Z + card-last-score:: 1 + - Cookies are ^^arbitrary pieces of data^^ (i.e., large, random strings), usually chosen & first sent by the web server, and stored on the client computer by the web browser. + - The browser then sends them back to the server with every request. + - Browsers are required to: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:33:35.161Z + card-last-score:: 1 + - support cookies as large as 4,906 bytes in size + - support at least 50 cookies per domain + - support at least 3,000 cookies in total + - + - #### Cookie Structure + - What are the components of a cookie? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:35:57.374Z + card-last-score:: 1 + - A cookie consists of the following components: + - Name + - Value + - Zero or more attributes (name - value pairs). These attributes store information such as the cookie's expiration, domain, and flags (such as *Secure* and *HttpOnly*) + - + - ### Session Cookies + - What is a **session cookie**? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:44:48.596Z + card-last-reviewed:: 2022-10-03T11:44:48.597Z + card-last-score:: 3 + - A **session cookie** (aka in-memory cookie, transient cookie, or non-persistent cookie) is a cookie that ^^exists only in temporary memory while the user navigates its website.^^ + - Web browsers normally delete session cookies when the user closes the browser. + - Session cookies do not have an expiration date assigned to them, which is how the browser know to treat them as session cookies. + - + - + - ### Persistent Cookies + - What is a **persistent cookie**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T20:29:49.936Z + card-last-reviewed:: 2022-10-03T14:29:49.936Z + card-last-score:: 5 + - A **persistent cookie** is a cookie which ^^expires at a specific data or after a specific length of time.^^ + - A persistent cookie's information will be transmitted to the server every time the user visits the website that the cookie belongs to, for the lifespan of the persistent cookie (as set by its creator), or every time that the user views a resource belonging to that website from another website (such as an advertisement). + - + - Persistent cookies are sometimes referred to as **tracking cookies** because they can be used by advertisers to record information about a user's web browsing habits. + - However, tracking cookies are mainly used for legitimate reasons, such as keeping users logged into their accounts on website to avoid re-entering login credentials at every visit. + - + - ### Cookie Attributes + - Consider the following response header sent by a webserver that contains 3 persistent cookies: + - ![image.png](../assets/image_1662819462897_0.png) + - What do the *Domain* and *Path* attributes do? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-18T18:45:59.521Z + card-last-reviewed:: 2022-11-09T12:45:59.521Z + card-last-score:: 3 + - The *Domain* and *Path* attributes define the cookie's scope. + - What does the *Secure* attribute do? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-01T19:10:41.850Z + card-last-reviewed:: 2022-10-04T12:10:41.851Z + card-last-score:: 5 + - The *Secure* attribute ensures that the cookie can only be transmitted over an **encrypted connection**, making it a "**secure cookie**". + - What does the *HttpOnly* attribute do? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-12T18:37:21.841Z + card-last-reviewed:: 2022-10-20T08:37:21.841Z + card-last-score:: 5 + - The *HttpOnly* attribute ^^directs cookies not to expose cookies through channels other than HTTP / HTTPS.^^ + - This means that this HttpOnly cookie cannot be accessed via client-side scripting languages (notably JavaScript). +- +- ## GDPR & Cookies + - Generally, a user's consent must be sought before a cookie is installed in a web browser. + - There are **two** expemptions: + - The **Communications Exemption** + - The **Strictly Necessary Exemption** + - + - What is the **Communications Exemption**? #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-27T18:43:32.762Z + card-last-reviewed:: 2022-10-10T11:43:32.763Z + card-last-score:: 3 + - The **Communications Exemption** applies to cookies ^^whose sole purpose is for carrying out the transmission of a communication over a network^^, for example, to identify the communication endpoints. + - Cookies that meet these criteria are exempted from being required to ask for the user's consent prior to installation. + - **Example:** load-balancing cookies that distribute network traffic across different backend servers, also known as **session stickiness**. + - Here, a **load-balancer** creates an affinity between a client and a specific network server for the duration of a session using a cookie with a random & unique tracking ID. + - Subsequently, the load-balancer routes all the of the requests from this client to a specific backend server using the tracking ID, for the duration of the session. + - ![image.png](../assets/image_1662820187995_0.png){:height 426, :width 529} + - + - + - What is the **Strictly Necessary** exemption? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:34:39.740Z + card-last-reviewed:: 2022-10-20T08:34:39.740Z + card-last-score:: 5 + - The **Strictly Necessary** exemption exempts cookies that are strictly necessary to provide the service of delivered over the internet, i.e., a website or app from being required to ask the user's consent prior to installation. + - ^^This service must have been explicitly requested by the user (i.e., typing in the URL), and the use of the cookie must be restricted to what is strictly necessary to provide that service.^^ + - Cookies related to advertising are **not** strictly necessary, and must be consented to. + - Examples: + - A website uses session cookies to keep track of items that a user places in an online shopping basket (assuming that this cookie will be deleted once the session is over). + - Cookies that a record a user's language or country preference. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Human Security & Passwords/2022-10-07T08_33_33.322Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Human Security & Passwords/2022-10-07T08_33_33.322Z.Desktop.md new file mode 100644 index 00000000..3402e99c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Human Security & Passwords/2022-10-07T08_33_33.322Z.Desktop.md @@ -0,0 +1,87 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[Introduction to Cryptography]] +- **Next Topic:** null +- **Relevant Slides:** ![ct255_03.pdf](../assets/ct255_03_1664798420872_0.pdf) +- +- What is a **password**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-07T14:27:05.787Z + card-last-reviewed:: 2022-10-03T14:27:05.787Z + card-last-score:: 5 + - A **password** is a memorised secret used to confirm the identity of a user. + - Typically, an arbitrary string of characters including letters, digits, or other symbols. + - A purely numeric secret is called a **Personal Identification Number (PIN)**. + - The secret is memorised by a party called the **claimant** while the party verifying the identity of the claimant is called the **verifier**. + - The claimant & the verifier communicate via an **authentication protocol**. +- # Some Password Alternatives + - One-Time Password (OTP). + - Transaction Authentication Number (TAN) list used for online banking - they can only be used once. + - Time-synchronised one-time passwords. + - Biometric methods. + - Fingerprints, irises, voice, face. + - Cognitive passwords. + - Use question & answer cue/response pairs to verify identity. +- +- # Algorithmic Generation of OTP + - Paper-based TANs are hard to manage -> both the claimant and the verifier need to have a copy of every OTP (possibly hundreds of them). + - Idea: each OTP may be created from the passt OTPs used. + - An example of this type of algorithm, credited to Leslie Lamport, uses a **one-way function** (hash function). + - ## One-Way Functions + - What is a **hash function**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-03T23:00:00.000Z + card-last-reviewed:: 2022-10-03T14:27:00.494Z + card-last-score:: 1 + - A **one-way function** $H$ produces a fixed-size output $h$ based on a variable size input $s$. + - $$H(s) = h$$ + - $H$ is also called a **hash function**, $h$ is called a **hash** (value). + - Important: *one-way property*: + - For a given hash code $h$, it is infeasible to find $s$ that $H(s) = h$. + - ### Leslie Lamport's Algorithm #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-03T23:00:00.000Z + card-last-reviewed:: 2022-10-03T14:26:52.424Z + card-last-score:: 1 + - For every claimant, a random seed (starting value) $s$ is chosen. + - A hash function $H(s)$ is applied repeatedly (e.g., 1,000 times) to the seed, giving a value of: + - $$H(H(H(...(H(s)....))))$$ + - The user's first login uses an OTP $p$ derived by applying $H$ 999 times to the seed, i.e., $H^{999}(s)$. + - The verifier can authenticate that this is the correct OTP, because $H(p) = H^{1000}(s)$, the value stored. + - The value stored is then replaced by $p$ and the user is allowed to log in. + - The next login must be accompanied by $H^{998}(s)$. + - Again, this can be validated because hashing gives $H^{999}(s)$ which is $p$, the value stored after the previous login. + - The new value replaces $p$ and the user is authenticated. + - This process can be repeated another 997 times, each time the password will be $H$ applied one fewer times. + - ### Time-Synchronised OTP #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-03T23:00:00.000Z + card-last-reviewed:: 2022-10-03T14:26:07.581Z + card-last-score:: 1 + - Each user has a unique piece of hardware called a **security token** that generates an OTP (e.g., mobile phone). + - Inside the token is an accurate clock that has been synchronised with the clock of the verifer. + - Both claimant token and verifier server calculate identical OTPs that are based on time. + - ![image.png](../assets/image_1664799869963_0.png) +- +- # Some New Biometric Methods + - **Hand geometry:** Measurement & comparison of the (unique) different physical characteristics of the hand. + - **Palm vein authentication:** Uses an infrared beam to penetrate the user's hand as it is waved over the system; the veins within the palm are returned as black lines. + - **Retina scan:** Provides an analysis of the capillary blood vessels located in the back of the eye. + - **Iris scan:** Provides an analysis of the rings, furrows, & freckles in the coloured ring that surrounds the pupil of the eye. + - Face recognition, signature, & voice analysis. + - **Behavioural biometrics:** + - ![image.png](../assets/image_1664800188644_0.png) +- +- # Multi-Factor Authentication + - This may include a combination of the following: + - Some physical object in the possession of the user, e.g., a USB stick with a secret token, a bank card, a key, etc. + - Some secret known only to the user, such as a password, PIN, TAN, etc. + - Some physical characteristic of the user (biometrics), such as a fingerprint, eye iris, voice, typing speed, pattern in key press intervals, etc. + - Somewhere you are, such as connection to a specific computing network or utilising a GPS signal to identify the location. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Human Security & Passwords/2022-10-07T18_07_00.016Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Human Security & Passwords/2022-10-07T18_07_00.016Z.Desktop.md new file mode 100644 index 00000000..eef9a8b5 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Human Security & Passwords/2022-10-07T18_07_00.016Z.Desktop.md @@ -0,0 +1,87 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[Introduction to Cryptography]] +- **Next Topic:** null +- **Relevant Slides:** ![ct255_03.pdf](../assets/ct255_03_1664798420872_0.pdf) +- +- What is a **password**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-07T14:27:05.787Z + card-last-reviewed:: 2022-10-03T14:27:05.787Z + card-last-score:: 5 + - A **password** is a memorised secret used to confirm the identity of a user. + - Typically, an arbitrary string of characters including letters, digits, or other symbols. + - A purely numeric secret is called a **Personal Identification Number (PIN)**. + - The secret is memorised by a party called the **claimant** while the party verifying the identity of the claimant is called the **verifier**. + - The claimant & the verifier communicate via an **authentication protocol**. +- # Some Password Alternatives + - One-Time Password (OTP). + - Transaction Authentication Number (TAN) list used for online banking - they can only be used once. + - Time-synchronised one-time passwords. + - Biometric methods. + - Fingerprints, irises, voice, face. + - Cognitive passwords. + - Use question & answer cue/response pairs to verify identity. +- +- # Algorithmic Generation of OTP + - Paper-based TANs are hard to manage -> both the claimant and the verifier need to have a copy of every OTP (possibly hundreds of them). + - Idea: each OTP may be created from the passt OTPs used. + - An example of this type of algorithm, credited to Leslie Lamport, uses a **one-way function** (hash function). + - ## One-Way Functions + - What is a **hash function**? #card + card-last-interval:: 1.47 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-08T21:37:51.695Z + card-last-reviewed:: 2022-10-07T10:37:51.696Z + card-last-score:: 3 + - A **one-way function** $H$ produces a fixed-size output $h$ based on a variable size input $s$. + - $$H(s) = h$$ + - $H$ is also called a **hash function**, $h$ is called a **hash** (value). + - Important: *one-way property*: + - For a given hash code $h$, it is infeasible to find $s$ that $H(s) = h$. + - ### Leslie Lamport's Algorithm #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-reviewed:: 2022-10-07T10:48:57.261Z + card-last-score:: 1 + - For every claimant, a random seed (starting value) $s$ is chosen. + - A hash function $H(s)$ is applied repeatedly (e.g., 1,000 times) to the seed, giving a value of: + - $$H(H(H(...(H(s)....))))$$ + - The user's first login uses an OTP $p$ derived by applying $H$ 999 times to the seed, i.e., $H^{999}(s)$. + - The verifier can authenticate that this is the correct OTP, because $H(p) = H^{1000}(s)$, the value stored. + - The value stored is then replaced by $p$ and the user is allowed to log in. + - The next login must be accompanied by $H^{998}(s)$. + - Again, this can be validated because hashing gives $H^{999}(s)$ which is $p$, the value stored after the previous login. + - The new value replaces $p$ and the user is authenticated. + - This process can be repeated another 997 times, each time the password will be $H$ applied one fewer times. + - ### Time-Synchronised OTP #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-reviewed:: 2022-10-07T10:17:02.675Z + card-last-score:: 1 + - Each user has a unique piece of hardware called a **security token** that generates an OTP (e.g., mobile phone). + - Inside the token is an accurate clock that has been synchronised with the clock of the verifer. + - Both claimant token and verifier server calculate identical OTPs that are based on time. + - ![image.png](../assets/image_1664799869963_0.png) +- +- # Some New Biometric Methods + - **Hand geometry:** Measurement & comparison of the (unique) different physical characteristics of the hand. + - **Palm vein authentication:** Uses an infrared beam to penetrate the user's hand as it is waved over the system; the veins within the palm are returned as black lines. + - **Retina scan:** Provides an analysis of the capillary blood vessels located in the back of the eye. + - **Iris scan:** Provides an analysis of the rings, furrows, & freckles in the coloured ring that surrounds the pupil of the eye. + - Face recognition, signature, & voice analysis. + - **Behavioural biometrics:** + - ![image.png](../assets/image_1664800188644_0.png) +- +- # Multi-Factor Authentication + - This may include a combination of the following: + - Some physical object in the possession of the user, e.g., a USB stick with a secret token, a bank card, a key, etc. + - Some secret known only to the user, such as a password, PIN, TAN, etc. + - Some physical characteristic of the user (biometrics), such as a fingerprint, eye iris, voice, typing speed, pattern in key press intervals, etc. + - Somewhere you are, such as connection to a specific computing network or utilising a GPS signal to identify the location. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Human Security & Passwords/2022-10-10T11_59_52.405Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Human Security & Passwords/2022-10-10T11_59_52.405Z.Desktop.md new file mode 100644 index 00000000..f0b4c4db --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Human Security & Passwords/2022-10-10T11_59_52.405Z.Desktop.md @@ -0,0 +1,87 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[Introduction to Cryptography]] +- **Next Topic:** null +- **Relevant Slides:** ![ct255_03.pdf](../assets/ct255_03_1664798420872_0.pdf) +- +- What is a **password**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T01:20:19.049Z + card-last-reviewed:: 2022-10-07T15:20:19.050Z + card-last-score:: 3 + - A **password** is a memorised secret used to confirm the identity of a user. + - Typically, an arbitrary string of characters including letters, digits, or other symbols. + - A purely numeric secret is called a **Personal Identification Number (PIN)**. + - The secret is memorised by a party called the **claimant** while the party verifying the identity of the claimant is called the **verifier**. + - The claimant & the verifier communicate via an **authentication protocol**. +- # Some Password Alternatives + - One-Time Password (OTP). + - Transaction Authentication Number (TAN) list used for online banking - they can only be used once. + - Time-synchronised one-time passwords. + - Biometric methods. + - Fingerprints, irises, voice, face. + - Cognitive passwords. + - Use question & answer cue/response pairs to verify identity. +- +- # Algorithmic Generation of OTP + - Paper-based TANs are hard to manage -> both the claimant and the verifier need to have a copy of every OTP (possibly hundreds of them). + - Idea: each OTP may be created from the passt OTPs used. + - An example of this type of algorithm, credited to Leslie Lamport, uses a **one-way function** (hash function). + - ## One-Way Functions + - What is a **hash function**? #card + card-last-interval:: 8.35 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T16:51:58.310Z + card-last-reviewed:: 2022-10-09T08:51:58.310Z + card-last-score:: 5 + - A **one-way function** $H$ produces a fixed-size output $h$ based on a variable size input $s$. + - $$H(s) = h$$ + - $H$ is also called a **hash function**, $h$ is called a **hash** (value). + - Important: *one-way property*: + - For a given hash code $h$, it is infeasible to find $s$ that $H(s) = h$. + - ### Leslie Lamport's Algorithm #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:02:53.292Z + card-last-score:: 1 + - For every claimant, a random seed (starting value) $s$ is chosen. + - A hash function $H(s)$ is applied repeatedly (e.g., 1,000 times) to the seed, giving a value of: + - $$H(H(H(...(H(s)....))))$$ + - The user's first login uses an OTP $p$ derived by applying $H$ 999 times to the seed, i.e., $H^{999}(s)$. + - The verifier can authenticate that this is the correct OTP, because $H(p) = H^{1000}(s)$, the value stored. + - The value stored is then replaced by $p$ and the user is allowed to log in. + - The next login must be accompanied by $H^{998}(s)$. + - Again, this can be validated because hashing gives $H^{999}(s)$ which is $p$, the value stored after the previous login. + - The new value replaces $p$ and the user is authenticated. + - This process can be repeated another 997 times, each time the password will be $H$ applied one fewer times. + - ### Time-Synchronised OTP #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:19:40.334Z + card-last-score:: 1 + - Each user has a unique piece of hardware called a **security token** that generates an OTP (e.g., mobile phone). + - Inside the token is an accurate clock that has been synchronised with the clock of the verifer. + - Both claimant token and verifier server calculate identical OTPs that are based on time. + - ![image.png](../assets/image_1664799869963_0.png) +- +- # Some New Biometric Methods + - **Hand geometry:** Measurement & comparison of the (unique) different physical characteristics of the hand. + - **Palm vein authentication:** Uses an infrared beam to penetrate the user's hand as it is waved over the system; the veins within the palm are returned as black lines. + - **Retina scan:** Provides an analysis of the capillary blood vessels located in the back of the eye. + - **Iris scan:** Provides an analysis of the rings, furrows, & freckles in the coloured ring that surrounds the pupil of the eye. + - Face recognition, signature, & voice analysis. + - **Behavioural biometrics:** + - ![image.png](../assets/image_1664800188644_0.png) +- +- # Multi-Factor Authentication + - This may include a combination of the following: + - Some physical object in the possession of the user, e.g., a USB stick with a secret token, a bank card, a key, etc. + - Some secret known only to the user, such as a password, PIN, TAN, etc. + - Some physical characteristic of the user (biometrics), such as a fingerprint, eye iris, voice, typing speed, pattern in key press intervals, etc. + - Somewhere you are, such as connection to a specific computing network or utilising a GPS signal to identify the location. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Human Security & Passwords/2022-11-11T12_04_45.342Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Human Security & Passwords/2022-11-11T12_04_45.342Z.Desktop.md new file mode 100644 index 00000000..bb4e38e2 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Human Security & Passwords/2022-11-11T12_04_45.342Z.Desktop.md @@ -0,0 +1,87 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[Introduction to Cryptography]] +- **Next Topic:** [[Hash Cracking Using Rainbow Tables]] +- **Relevant Slides:** ![ct255_03.pdf](../assets/ct255_03_1664798420872_0.pdf) +- +- What is a **password**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T01:20:19.049Z + card-last-reviewed:: 2022-10-07T15:20:19.050Z + card-last-score:: 3 + - A **password** is a memorised secret used to confirm the identity of a user. + - Typically, an arbitrary string of characters including letters, digits, or other symbols. + - A purely numeric secret is called a **Personal Identification Number (PIN)**. + - The secret is memorised by a party called the **claimant** while the party verifying the identity of the claimant is called the **verifier**. + - The claimant & the verifier communicate via an **authentication protocol**. +- # Some Password Alternatives + - One-Time Password (OTP). + - Transaction Authentication Number (TAN) list used for online banking - they can only be used once. + - Time-synchronised one-time passwords. + - Biometric methods. + - Fingerprints, irises, voice, face. + - Cognitive passwords. + - Use question & answer cue/response pairs to verify identity. +- +- # Algorithmic Generation of OTP + - Paper-based TANs are hard to manage -> both the claimant and the verifier need to have a copy of every OTP (possibly hundreds of them). + - Idea: each OTP may be created from the passt OTPs used. + - An example of this type of algorithm, credited to Leslie Lamport, uses a **one-way function** (hash function). + - ## One-Way Functions + - What is a **hash function**? #card + card-last-interval:: 8.35 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T16:51:58.310Z + card-last-reviewed:: 2022-10-09T08:51:58.310Z + card-last-score:: 5 + - A **one-way function** $H$ produces a fixed-size output $h$ based on a variable size input $s$. + - $$H(s) = h$$ + - $H$ is also called a **hash function**, $h$ is called a **hash** (value). + - Important: *one-way property*: + - For a given hash code $h$, it is infeasible to find $s$ that $H(s) = h$. + - ### Leslie Lamport's Algorithm #card + card-last-interval:: 0.85 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-27T07:50:40.061Z + card-last-reviewed:: 2022-10-26T11:50:40.061Z + card-last-score:: 3 + - For every claimant, a random seed (starting value) $s$ is chosen. + - A hash function $H(s)$ is applied repeatedly (e.g., 1,000 times) to the seed, giving a value of: + - $$H(H(H(...(H(s)....))))$$ + - The user's first login uses an OTP $p$ derived by applying $H$ 999 times to the seed, i.e., $H^{999}(s)$. + - The verifier can authenticate that this is the correct OTP, because $H(p) = H^{1000}(s)$, the value stored. + - The value stored is then replaced by $p$ and the user is allowed to log in. + - The next login must be accompanied by $H^{998}(s)$. + - Again, this can be validated because hashing gives $H^{999}(s)$ which is $p$, the value stored after the previous login. + - The new value replaces $p$ and the user is authenticated. + - This process can be repeated another 997 times, each time the password will be $H$ applied one fewer times. + - ### Time-Synchronised OTP #card + card-last-interval:: 0.84 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-11T07:35:51.251Z + card-last-reviewed:: 2022-10-10T11:35:51.251Z + card-last-score:: 3 + - Each user has a unique piece of hardware called a **security token** that generates an OTP (e.g., mobile phone). + - Inside the token is an accurate clock that has been synchronised with the clock of the verifer. + - Both claimant token and verifier server calculate identical OTPs that are based on time. + - ![image.png](../assets/image_1664799869963_0.png) +- +- # Some New Biometric Methods + - **Hand geometry:** Measurement & comparison of the (unique) different physical characteristics of the hand. + - **Palm vein authentication:** Uses an infrared beam to penetrate the user's hand as it is waved over the system; the veins within the palm are returned as black lines. + - **Retina scan:** Provides an analysis of the capillary blood vessels located in the back of the eye. + - **Iris scan:** Provides an analysis of the rings, furrows, & freckles in the coloured ring that surrounds the pupil of the eye. + - Face recognition, signature, & voice analysis. + - **Behavioural biometrics:** + - ![image.png](../assets/image_1664800188644_0.png) +- +- # Multi-Factor Authentication + - This may include a combination of the following: + - Some physical object in the possession of the user, e.g., a USB stick with a secret token, a bank card, a key, etc. + - Some secret known only to the user, such as a password, PIN, TAN, etc. + - Some physical characteristic of the user (biometrics), such as a fingerprint, eye iris, voice, typing speed, pattern in key press intervals, etc. + - Somewhere you are, such as connection to a specific computing network or utilising a GPS signal to identify the location. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-09-30T10_01_42.288Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-09-30T10_01_42.288Z.Desktop.md new file mode 100644 index 00000000..ec396bac --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-09-30T10_01_42.288Z.Desktop.md @@ -0,0 +1,101 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Software Processes]] +- **Next Topic:** [[SCRUM Roles & Ceremonies]] +- **Relevant Slides:** ![Week 3 - Introduction to Agile Methods - Scrum(1).pdf](../assets/Week_3_-_Introduction_to_Agile_Methods_-_Scrum(1)_1663848442133_0.pdf) +- +- # Software Development Lifecycle + - What is the **Software Lifecycle**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-22T23:00:00.000Z + card-last-reviewed:: 2022-09-22T20:28:27.102Z + card-last-score:: 1 + - The **software lifecycle** is an abstract representation of a software process. It defines the steps, methods, tools, activities, and deliverables of a software development project. + - The following **lifecycle phases** are considered: + - 1. Requirement Analysis + 2. System Design + 3. Implementation + 4. Integration & Deployment + 5. Operation & Maintenance + - ## SDLC Limitations + - Classical project planning methods have a lot of disadvantages: + - Huge efforts during the planning phase (requirements + design). + - Poor requirements conversion in a rapidly changing environment. + - Treatment of staff as a factor of production. +- +- # Agile + - What is **Agile**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:14:38.542Z + card-last-reviewed:: 2022-09-26T12:14:38.542Z + card-last-score:: 3 + - There is no single definition of Agile, but the Agile Manifesto is the closest to a defintion. + - Set of principles. + - Developed by Agile Alliance. + - Agile methods focus on: + - Individuals & interactions over processes & tools. + - Working software over comprehensive documentation. + - Customer collaboration over contract negotiation. + - Responding to change over following a plan. + - The [Agile Alliance](www.agilealliance.org) is a non-profit organisation promotes agile development. + - ## Agile Motivation + - Agile proponents argue: + - Software development processes relying on lifecycle models are too heavyweight or cumbersome. + - Too many things are done that are not directly related to the software product being produced, i.e., design, models, requirements docs, documentation that isn't shipped as part of the product. + - Difficulty with incomplete or changing requirements. + - Short development cycles (Mobile Apps). + - More active customer involvement needed. + - There are several Agile methods, including **Scrum** and **Extreme Programming (XP)**. + - ## SCRUM + - What is **SCRUM**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-22T23:00:00.000Z + card-last-reviewed:: 2022-09-22T20:41:57.926Z + card-last-score:: 1 + - **Software Project Management Methodology (SCRUM)** is an agile project management methodology for managing product development. + - It allows us to rapidly and repeatedly inspect actual working software (every two weeks to one month). + - The business sets the priorities. The teams **self-manage** to determine the best way to deliver the highest priority features. + - Every two weeks to a month, anyone can see real, working software and decide to release it as is or continue to enhance it for another iteration. + - ### Characteristics of SCRUM #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:13:39.492Z + card-last-reviewed:: 2022-09-26T12:13:39.493Z + card-last-score:: 3 + - Self-organising teams. + - No need for project manager (in theory). + - Product progresses in a series of month-long or biweekly **sprints**. + - Assumes that the software cannot be well defined and requirements will change frequently. + - Requirements are captured as items in a list of **product backlog**. + - No specific engineering practices prescribed. + - XP, TDD, FDD. + - Best approach is to start with Scrum and then invent your own version using XP, TDD< FDD, etc. + - ### Daily SCRUM / Standup #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:14:54.429Z + card-last-reviewed:: 2022-09-26T12:14:54.429Z + card-last-score:: 5 + - Parameters: + - Daily. + - 15-minutes. + - Stand-up. + - Not for problem solving. + - Only team members, ScrumMaster, & Product Owners should talk. + - Should help to avoid additional unnecessary meetings. + - Commitment in front of peers to complete tasks. + - Answer 3 questions: + - What did you do yesterday? + - What will you do today? + - Is anything in your way? + - The Daily SCRUM is **not** a problem-solving session and is **not** a way to collect information about who is behind the schedule. + - It is a meeting in which members make commitments to each other and to the SCRUM Master. + - It is a good way for a SCRUM Master to track the progress of the team. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-10-07T08_33_33.325Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-10-07T08_33_33.325Z.Desktop.md new file mode 100644 index 00000000..0392369c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-10-07T08_33_33.325Z.Desktop.md @@ -0,0 +1,101 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Software Processes]] +- **Next Topic:** [[SCRUM Roles & Ceremonies]] +- **Relevant Slides:** ![Week 3 - Introduction to Agile Methods - Scrum(1).pdf](../assets/Week_3_-_Introduction_to_Agile_Methods_-_Scrum(1)_1663848442133_0.pdf) +- +- # Software Development Lifecycle + - What is the **Software Lifecycle**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-07T11:41:44.734Z + card-last-reviewed:: 2022-10-03T11:41:44.735Z + card-last-score:: 5 + - The **software lifecycle** is an abstract representation of a software process. It defines the steps, methods, tools, activities, and deliverables of a software development project. + - The following **lifecycle phases** are considered: + - 1. Requirement Analysis + 2. System Design + 3. Implementation + 4. Integration & Deployment + 5. Operation & Maintenance + - ## SDLC Limitations + - Classical project planning methods have a lot of disadvantages: + - Huge efforts during the planning phase (requirements + design). + - Poor requirements conversion in a rapidly changing environment. + - Treatment of staff as a factor of production. +- +- # Agile + - What is **Agile**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:14:50.132Z + card-last-score:: 1 + - There is no single definition of Agile, but the Agile Manifesto is the closest to a defintion. + - Set of principles. + - Developed by Agile Alliance. + - Agile methods focus on: + - Individuals & interactions over processes & tools. + - Working software over comprehensive documentation. + - Customer collaboration over contract negotiation. + - Responding to change over following a plan. + - The [Agile Alliance](www.agilealliance.org) is a non-profit organisation promotes agile development. + - ## Agile Motivation + - Agile proponents argue: + - Software development processes relying on lifecycle models are too heavyweight or cumbersome. + - Too many things are done that are not directly related to the software product being produced, i.e., design, models, requirements docs, documentation that isn't shipped as part of the product. + - Difficulty with incomplete or changing requirements. + - Short development cycles (Mobile Apps). + - More active customer involvement needed. + - There are several Agile methods, including **Scrum** and **Extreme Programming (XP)**. + - ## SCRUM + - What is **Scrum**? #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-04T12:33:02.463Z + - **Scrum** is an agile project management methodology for managing product development. + - It allows us to rapidly and repeatedly inspect actual working software (every two weeks to one month). + - The business sets the priorities. The teams **self-manage** to determine the best way to deliver the highest priority features. + - Every two weeks to a month, anyone can see real, working software and decide to release it as is or continue to enhance it for another iteration. + - ### Characteristics of SCRUM #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:13:22.626Z + card-last-score:: 1 + - Self-organising teams. + - No need for project manager (in theory). + - Product progresses in a series of month-long or biweekly **sprints**. + - Assumes that the software cannot be well defined and requirements will change frequently. + - Requirements are captured as items in a list of **product backlog**. + - No specific engineering practices prescribed. + - XP, TDD, FDD. + - Best approach is to start with Scrum and then invent your own version using XP, TDD< FDD, etc. + - ### Daily SCRUM / Standup #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-08T12:15:05.415Z + card-last-reviewed:: 2022-10-04T12:15:05.415Z + card-last-score:: 5 + - Parameters: + - Daily. + - 15-minutes. + - Stand-up. + - Not for problem solving. + - Only team members, ScrumMaster, & Product Owners should talk. + - Should help to avoid additional unnecessary meetings. + - Commitment in front of peers to complete tasks. + - Answer 3 questions: + - What did you do yesterday? + - What will you do today? + - Is anything in your way? + - The Daily SCRUM is **not** a problem-solving session and is **not** a way to collect information about who is behind the schedule. + - It is a meeting in which members make commitments to each other and to the SCRUM Master. + - It is a good way for a SCRUM Master to track the progress of the team. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-10-07T18_07_00.019Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-10-07T18_07_00.019Z.Desktop.md new file mode 100644 index 00000000..7f7b06ba --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-10-07T18_07_00.019Z.Desktop.md @@ -0,0 +1,101 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Software Processes]] +- **Next Topic:** [[SCRUM Roles & Ceremonies]] +- **Relevant Slides:** ![Week 3 - Introduction to Agile Methods - Scrum(1).pdf](../assets/Week_3_-_Introduction_to_Agile_Methods_-_Scrum(1)_1663848442133_0.pdf) +- +- # Software Development Lifecycle + - What is the **Software Lifecycle**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-07T11:41:44.734Z + card-last-reviewed:: 2022-10-03T11:41:44.735Z + card-last-score:: 5 + - The **software lifecycle** is an abstract representation of a software process. It defines the steps, methods, tools, activities, and deliverables of a software development project. + - The following **lifecycle phases** are considered: + - 1. Requirement Analysis + 2. System Design + 3. Implementation + 4. Integration & Deployment + 5. Operation & Maintenance + - ## SDLC Limitations + - Classical project planning methods have a lot of disadvantages: + - Huge efforts during the planning phase (requirements + design). + - Poor requirements conversion in a rapidly changing environment. + - Treatment of staff as a factor of production. +- +- # Agile + - What is **Agile**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:14:18.767Z + card-last-reviewed:: 2022-10-07T10:14:18.769Z + card-last-score:: 3 + - There is no single definition of Agile, but the Agile Manifesto is the closest to a defintion. + - Set of principles. + - Developed by Agile Alliance. + - Agile methods focus on: + - Individuals & interactions over processes & tools. + - Working software over comprehensive documentation. + - Customer collaboration over contract negotiation. + - Responding to change over following a plan. + - The [Agile Alliance](www.agilealliance.org) is a non-profit organisation promotes agile development. + - ## Agile Motivation + - Agile proponents argue: + - Software development processes relying on lifecycle models are too heavyweight or cumbersome. + - Too many things are done that are not directly related to the software product being produced, i.e., design, models, requirements docs, documentation that isn't shipped as part of the product. + - Difficulty with incomplete or changing requirements. + - Short development cycles (Mobile Apps). + - More active customer involvement needed. + - There are several Agile methods, including **Scrum** and **Extreme Programming (XP)**. + - ## SCRUM + - What is **Scrum**? #card + card-last-score:: 3 + card-repeats:: 2 + card-next-schedule:: 2022-10-10T04:23:23.437Z + card-last-interval:: 2.77 + card-ease-factor:: 2.36 + card-last-reviewed:: 2022-10-07T10:23:23.438Z + - **Scrum** is an agile project management methodology for managing product development. + - It allows us to rapidly and repeatedly inspect actual working software (every two weeks to one month). + - The business sets the priorities. The teams **self-manage** to determine the best way to deliver the highest priority features. + - Every two weeks to a month, anyone can see real, working software and decide to release it as is or continue to enhance it for another iteration. + - ### Characteristics of Scrum #card + card-last-score:: 3 + card-repeats:: 2 + card-next-schedule:: 2022-10-11T10:49:04.551Z + card-last-interval:: 4 + card-ease-factor:: 2.22 + card-last-reviewed:: 2022-10-07T10:49:04.552Z + - Self-organising teams. + - No need for project manager (in theory). + - Product progresses in a series of month-long or biweekly **sprints**. + - Assumes that the software cannot be well defined and requirements will change frequently. + - Requirements are captured as items in a list of **product backlog**. + - No specific engineering practices prescribed. + - XP, TDD, FDD. + - Best approach is to start with Scrum and then invent your own version using XP, TDD< FDD, etc. + - ### Daily SCRUM / Standup #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-08T12:15:05.415Z + card-last-reviewed:: 2022-10-04T12:15:05.415Z + card-last-score:: 5 + - Parameters: + - Daily. + - 15-minutes. + - Stand-up. + - Not for problem solving. + - Only team members, ScrumMaster, & Product Owners should talk. + - Should help to avoid additional unnecessary meetings. + - Commitment in front of peers to complete tasks. + - Answer 3 questions: + - What did you do yesterday? + - What will you do today? + - Is anything in your way? + - The Daily SCRUM is **not** a problem-solving session and is **not** a way to collect information about who is behind the schedule. + - It is a meeting in which members make commitments to each other and to the SCRUM Master. + - It is a good way for a SCRUM Master to track the progress of the team. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-10-10T11_59_52.406Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-10-10T11_59_52.406Z.Desktop.md new file mode 100644 index 00000000..fc4d347b --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-10-10T11_59_52.406Z.Desktop.md @@ -0,0 +1,101 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Software Processes]] +- **Next Topic:** [[SCRUM Roles & Ceremonies]] +- **Relevant Slides:** ![Week 3 - Introduction to Agile Methods - Scrum(1).pdf](../assets/Week_3_-_Introduction_to_Agile_Methods_-_Scrum(1)_1663848442133_0.pdf) +- +- # Software Development Lifecycle + - What is the **Software Lifecycle**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:00:18.476Z + card-last-score:: 1 + - The **software lifecycle** is an abstract representation of a software process. It defines the steps, methods, tools, activities, and deliverables of a software development project. + - The following **lifecycle phases** are considered: + - 1. Requirement Analysis + 2. System Design + 3. Implementation + 4. Integration & Deployment + 5. Operation & Maintenance + - ## SDLC Limitations + - Classical project planning methods have a lot of disadvantages: + - Huge efforts during the planning phase (requirements + design). + - Poor requirements conversion in a rapidly changing environment. + - Treatment of staff as a factor of production. +- +- # Agile + - What is **Agile**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:14:18.767Z + card-last-reviewed:: 2022-10-07T10:14:18.769Z + card-last-score:: 3 + - There is no single definition of Agile, but the Agile Manifesto is the closest to a defintion. + - Set of principles. + - Developed by Agile Alliance. + - Agile methods focus on: + - Individuals & interactions over processes & tools. + - Working software over comprehensive documentation. + - Customer collaboration over contract negotiation. + - Responding to change over following a plan. + - The [Agile Alliance](www.agilealliance.org) is a non-profit organisation promotes agile development. + - ## Agile Motivation + - Agile proponents argue: + - Software development processes relying on lifecycle models are too heavyweight or cumbersome. + - Too many things are done that are not directly related to the software product being produced, i.e., design, models, requirements docs, documentation that isn't shipped as part of the product. + - Difficulty with incomplete or changing requirements. + - Short development cycles (Mobile Apps). + - More active customer involvement needed. + - There are several Agile methods, including **Scrum** and **Extreme Programming (XP)**. + - ## SCRUM + - What is **Scrum**? #card + card-last-score:: 3 + card-repeats:: 2 + card-next-schedule:: 2022-10-10T04:23:23.437Z + card-last-interval:: 2.77 + card-ease-factor:: 2.36 + card-last-reviewed:: 2022-10-07T10:23:23.438Z + - **Scrum** is an agile project management methodology for managing product development. + - It allows us to rapidly and repeatedly inspect actual working software (every two weeks to one month). + - The business sets the priorities. The teams **self-manage** to determine the best way to deliver the highest priority features. + - Every two weeks to a month, anyone can see real, working software and decide to release it as is or continue to enhance it for another iteration. + - ### Characteristics of Scrum #card + card-last-score:: 3 + card-repeats:: 2 + card-next-schedule:: 2022-10-11T10:49:04.551Z + card-last-interval:: 4 + card-ease-factor:: 2.22 + card-last-reviewed:: 2022-10-07T10:49:04.552Z + - Self-organising teams. + - No need for project manager (in theory). + - Product progresses in a series of month-long or biweekly **sprints**. + - Assumes that the software cannot be well defined and requirements will change frequently. + - Requirements are captured as items in a list of **product backlog**. + - No specific engineering practices prescribed. + - XP, TDD, FDD. + - Best approach is to start with Scrum and then invent your own version using XP, TDD< FDD, etc. + - ### Daily SCRUM / Standup #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-20T02:54:31.522Z + card-last-reviewed:: 2022-10-08T22:54:31.568Z + card-last-score:: 5 + - Parameters: + - Daily. + - 15-minutes. + - Stand-up. + - **Not** for problem solving. + - Only team members, Scrum Master, & Product Owners should talk. + - Should help to avoid additional unnecessary meetings. + - Commitment in front of peers to complete tasks. + - ^^Answer 3 questions:^^ + - ^^What did you do yesterday?^^ + - ^^What will you do today?^^ + - ^^Is anything in your way?^^ + - The Daily SCRUM is **not** a problem-solving session and is **not** a way to collect information about who is behind the schedule. + - It is a meeting in which members make commitments to each other and to the SCRUM Master. + - It is a good way for a SCRUM Master to track the progress of the team. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-10-20T09_05_57.963Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-10-20T09_05_57.963Z.Desktop.md new file mode 100644 index 00000000..87ff0f74 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-10-20T09_05_57.963Z.Desktop.md @@ -0,0 +1,101 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Software Processes]] +- **Next Topic:** [[SCRUM Roles & Ceremonies]] +- **Relevant Slides:** ![Week 3 - Introduction to Agile Methods - Scrum(1).pdf](../assets/Week_3_-_Introduction_to_Agile_Methods_-_Scrum(1)_1663848442133_0.pdf) +- +- # Software Development Lifecycle + - What is the **Software Lifecycle**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:32:31.602Z + card-last-score:: 1 + - The **software lifecycle** is an abstract representation of a software process. It defines the steps, methods, tools, activities, and deliverables of a software development project. + - The following **lifecycle phases** are considered: + - 1. Requirement Analysis + 2. System Design + 3. Implementation + 4. Integration & Deployment + 5. Operation & Maintenance + - ## SDLC Limitations + - Classical project planning methods have a lot of disadvantages: + - Huge efforts during the planning phase (requirements + design). + - Poor requirements conversion in a rapidly changing environment. + - Treatment of staff as a factor of production. +- +- # Agile + - What is **Agile**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:14:18.767Z + card-last-reviewed:: 2022-10-07T10:14:18.769Z + card-last-score:: 3 + - There is no single definition of Agile, but the Agile Manifesto is the closest to a defintion. + - Set of principles. + - Developed by Agile Alliance. + - Agile methods focus on: + - Individuals & interactions over processes & tools. + - Working software over comprehensive documentation. + - Customer collaboration over contract negotiation. + - Responding to change over following a plan. + - The [Agile Alliance](www.agilealliance.org) is a non-profit organisation promotes agile development. + - ## Agile Motivation + - Agile proponents argue: + - Software development processes relying on lifecycle models are too heavyweight or cumbersome. + - Too many things are done that are not directly related to the software product being produced, i.e., design, models, requirements docs, documentation that isn't shipped as part of the product. + - Difficulty with incomplete or changing requirements. + - Short development cycles (Mobile Apps). + - More active customer involvement needed. + - There are several Agile methods, including **Scrum** and **Extreme Programming (XP)**. + - ## SCRUM + - What is **Scrum**? #card + card-last-score:: 3 + card-repeats:: 2 + card-next-schedule:: 2022-10-10T04:23:23.437Z + card-last-interval:: 2.77 + card-ease-factor:: 2.36 + card-last-reviewed:: 2022-10-07T10:23:23.438Z + - **Scrum** is an agile project management methodology for managing product development. + - It allows us to rapidly and repeatedly inspect actual working software (every two weeks to one month). + - The business sets the priorities. The teams **self-manage** to determine the best way to deliver the highest priority features. + - Every two weeks to a month, anyone can see real, working software and decide to release it as is or continue to enhance it for another iteration. + - ### Characteristics of Scrum #card + card-last-score:: 3 + card-repeats:: 2 + card-next-schedule:: 2022-10-11T10:49:04.551Z + card-last-interval:: 4 + card-ease-factor:: 2.22 + card-last-reviewed:: 2022-10-07T10:49:04.552Z + - Self-organising teams. + - No need for project manager (in theory). + - Product progresses in a series of month-long or biweekly **sprints**. + - Assumes that the software cannot be well defined and requirements will change frequently. + - Requirements are captured as items in a list of **product backlog**. + - No specific engineering practices prescribed. + - XP, TDD, FDD. + - Best approach is to start with Scrum and then invent your own version using XP, TDD< FDD, etc. + - ### Daily SCRUM / Standup #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-20T02:54:31.522Z + card-last-reviewed:: 2022-10-08T22:54:31.568Z + card-last-score:: 5 + - Parameters: + - Daily. + - 15-minutes. + - Stand-up. + - **Not** for problem solving. + - Only team members, Scrum Master, & Product Owners should talk. + - Should help to avoid additional unnecessary meetings. + - Commitment in front of peers to complete tasks. + - ^^Answer 3 questions:^^ + - ^^What did you do yesterday?^^ + - ^^What will you do today?^^ + - ^^Is anything in your way?^^ + - The Daily SCRUM is **not** a problem-solving session and is **not** a way to collect information about who is behind the schedule. + - It is a meeting in which members make commitments to each other and to the SCRUM Master. + - It is a good way for a SCRUM Master to track the progress of the team. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-11-11T12_04_45.344Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-11-11T12_04_45.344Z.Desktop.md new file mode 100644 index 00000000..a43260d8 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Agile Methods/2022-11-11T12_04_45.344Z.Desktop.md @@ -0,0 +1,101 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Software Processes]] +- **Next Topic:** [[SCRUM Roles & Ceremonies]] +- **Relevant Slides:** ![Week 3 - Introduction to Agile Methods - Scrum(1).pdf](../assets/Week_3_-_Introduction_to_Agile_Methods_-_Scrum(1)_1663848442133_0.pdf) +- +- # Software Development Lifecycle + - What is the **Software Lifecycle**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:38:27.177Z + card-last-score:: 1 + - The **software lifecycle** is an abstract representation of a software process. It defines the steps, methods, tools, activities, and deliverables of a software development project. + - The following **lifecycle phases** are considered: + - 1. Requirement Analysis + 2. System Design + 3. Implementation + 4. Integration & Deployment + 5. Operation & Maintenance + - ## SDLC Limitations + - Classical project planning methods have a lot of disadvantages: + - Huge efforts during the planning phase (requirements + design). + - Poor requirements conversion in a rapidly changing environment. + - Treatment of staff as a factor of production. +- +- # Agile + - What is **Agile**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:14:18.767Z + card-last-reviewed:: 2022-10-07T10:14:18.769Z + card-last-score:: 3 + - There is no single definition of Agile, but the Agile Manifesto is the closest to a defintion. + - Set of principles. + - Developed by Agile Alliance. + - Agile methods focus on: + - Individuals & interactions over processes & tools. + - Working software over comprehensive documentation. + - Customer collaboration over contract negotiation. + - Responding to change over following a plan. + - The [Agile Alliance](www.agilealliance.org) is a non-profit organisation promotes agile development. + - ## Agile Motivation + - Agile proponents argue: + - Software development processes relying on lifecycle models are too heavyweight or cumbersome. + - Too many things are done that are not directly related to the software product being produced, i.e., design, models, requirements docs, documentation that isn't shipped as part of the product. + - Difficulty with incomplete or changing requirements. + - Short development cycles (Mobile Apps). + - More active customer involvement needed. + - There are several Agile methods, including **Scrum** and **Extreme Programming (XP)**. + - ## SCRUM + - What is **Scrum**? #card + card-last-score:: 3 + card-repeats:: 3 + card-next-schedule:: 2022-10-29T05:29:46.102Z + card-last-interval:: 8.88 + card-ease-factor:: 2.22 + card-last-reviewed:: 2022-10-20T08:29:46.102Z + - **Scrum** is an agile project management methodology for managing product development. + - It allows us to rapidly and repeatedly inspect actual working software (every two weeks to one month). + - The business sets the priorities. The teams **self-manage** to determine the best way to deliver the highest priority features. + - Every two weeks to a month, anyone can see real, working software and decide to release it as is or continue to enhance it for another iteration. + - ### Characteristics of Scrum #card + card-last-score:: 3 + card-repeats:: 2 + card-next-schedule:: 2022-10-11T10:49:04.551Z + card-last-interval:: 4 + card-ease-factor:: 2.22 + card-last-reviewed:: 2022-10-07T10:49:04.552Z + - Self-organising teams. + - No need for project manager (in theory). + - Product progresses in a series of month-long or biweekly **sprints**. + - Assumes that the software cannot be well defined and requirements will change frequently. + - Requirements are captured as items in a list of **product backlog**. + - No specific engineering practices prescribed. + - XP, TDD, FDD. + - Best approach is to start with Scrum and then invent your own version using XP, TDD< FDD, etc. + - ### Daily SCRUM / Standup #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-20T02:54:31.522Z + card-last-reviewed:: 2022-10-08T22:54:31.568Z + card-last-score:: 5 + - Parameters: + - Daily. + - 15-minutes. + - Stand-up. + - **Not** for problem solving. + - Only team members, Scrum Master, & Product Owners should talk. + - Should help to avoid additional unnecessary meetings. + - Commitment in front of peers to complete tasks. + - ^^Answer 3 questions:^^ + - ^^What did you do yesterday?^^ + - ^^What will you do today?^^ + - ^^Is anything in your way?^^ + - The Daily SCRUM is **not** a problem-solving session and is **not** a way to collect information about who is behind the schedule. + - It is a meeting in which members make commitments to each other and to the SCRUM Master. + - It is a good way for a SCRUM Master to track the progress of the team. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-09-30T08_54_51.814Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-09-30T08_54_51.814Z.Desktop.md new file mode 100644 index 00000000..b91d47f1 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-09-30T08_54_51.814Z.Desktop.md @@ -0,0 +1,315 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[GDPR]] +- **Next Topic:** null +- **Relevant Slides:** ![ct255_02.pdf](../assets/ct255_02_1663458790357_0.pdf) + id:: 63265db7-1d41-44f7-b4cf-0bab377a7c1c +- +- ## SQL Injections + - What is an **SQL Injection**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:46:36.580Z + card-last-reviewed:: 2022-09-18T14:46:36.581Z + card-last-score:: 3 + - An **SQL Injection** is a ^^code injection technique^^ used to attack data-driven applications, in which malicious SQL statements are inserted for execution. + - It is a way of exploiting user input & SQL statements to compromise the database & retrieve sensitive data. +- +- ## Basic Terminology + - What is **Cryptography**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:46:04.518Z + card-last-reviewed:: 2022-09-18T14:46:04.518Z + card-last-score:: 5 + - **Cryptography** is the art of encompassing the principles & methods of transforming an intelligible message into one that is unintelligible, and then retransforming that message back into its original form. + - What is **Plaintext**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:39:41.558Z + card-last-reviewed:: 2022-09-18T14:39:41.558Z + card-last-score:: 5 + - **Plaintext** is the ^^original, intelligible message.^^ + - What is **Ciphertext**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:39:52.620Z + card-last-reviewed:: 2022-09-18T14:39:52.621Z + card-last-score:: 5 + - **Ciphertext** is the encrypted messsage. + - What is a **Cipher**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:44:53.575Z + card-last-reviewed:: 2022-09-18T14:44:53.575Z + card-last-score:: 5 + - A **Cipher** is an algorithm for transforming an intelligible message into one that is unintelligible. + - What is a **Key**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:43:53.075Z + card-last-reviewed:: 2022-09-18T14:43:53.075Z + card-last-score:: 3 + - A **Key** is some critical information used by the cipher, known only to the sender & receiver, selected from a **keyspace** (the set of all possible keys). + - What does **Encipher** mean? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:46:57.114Z + card-last-reviewed:: 2022-09-18T14:46:57.114Z + card-last-score:: 5 + - **Enciphering** is the process of converting plaintext into ciphertext using a cipher & a key. + - What does **Decipher** mean? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:43:30.989Z + card-last-reviewed:: 2022-09-18T14:43:30.989Z + card-last-score:: 5 + - **Deciphering** is the process of converting ciphertext back into plaintext using a cipher & a key. + - What is **Encryption**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:44:36.754Z + card-last-reviewed:: 2022-09-18T14:44:36.755Z + card-last-score:: 3 + - **Encryption** is some mathematical function $E_K()$ mapping plaintext $P$ to ciphertext $C$ using the specified key $K$. + - $$C=E_K(P)$$ + - What is **Decryption**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:45:19.915Z + card-last-reviewed:: 2022-09-18T14:45:19.915Z + card-last-score:: 3 + - **Decryption** is some mathematical function ${E_K}^{-1}()$ mapping the ciphertext $C$ to plaintext $P$ using the specified key $K$. + - $$P={E_K}^{-1}(C)$$ + - What is **Cryptanalysis**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:41:43.525Z + card-last-reviewed:: 2022-09-18T14:41:43.525Z + card-last-score:: 5 + - **Cryptanalysis** is the study of principles & methods of transforming an unintelligible message into an intelligible message without knowledge of the key. + - What is **Cryptology**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:39:33.475Z + card-last-reviewed:: 2022-09-18T14:39:33.475Z + card-last-score:: 3 + - **Cryptology** is the field encompassing both cryptography & cryptanalysis. + - +- +- ## Model of Conventional Cryptosystem + - ![image.png](../assets/image_1663459919021_0.png){:height 304, :width 610} +- ## Cryptanalysis via Letter Frequency Distribution + - Human languages are **redundant** - letters are not equally commonly used. + - In the **English** language: + - **E** is by far the most common letter followed by T, R, N, I, O, A, and S. + - Other letters like Z, J, K, Q, and X are fairly rare. + - Certain letter combinations like **TH** are quite common. + - ![image.png](../assets/image_1663488626792_0.png) + - + - ### C Program for Frequency Analysis of single Characters + - ```c + #include + #include + #include + + int main(int argc, char* argv[]) { + FILE* fp; + int data[26]; + char c; + + memset(data, 0, siezof(data)); + + if (argc != 2) { + return(-1); + } + if (fp = fopen(argv[1], "r" == NULL)) { + return(-2); + } + + while(!feof(fp)) { + c = toupper(fgetc(fp)); + + if ((c >= 'A') && (c <= 'Z')) { + data[c-65]++; + } + } + + for (int i = 0; i < 26; i++) { + printf("%c:%i\n", i+65, data[i]); + } + + fclose(fp); + return(0); + } + ``` +- ## Known Plaintext Attacks (KPA) + - What is a **Known Plaintext Attack (KPA)**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:46:48.201Z + card-last-reviewed:: 2022-09-18T14:46:48.202Z + card-last-score:: 3 + - The **Known Plaintext Attack (KPA)** is an attack model for cryptanalysis where the attacker has access to both: + - some of, or all of, the plaintext (called a **crib**) + - the ciphertext + - +- +- ## Caesar Cipher + - What is a **Caesar Cipher**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:44:47.075Z + card-last-reviewed:: 2022-09-18T14:44:47.075Z + card-last-score:: 5 + - A **Caesar Cipher** involves using an offset alphabet to encrypt a message. + - We can use any shift from 1 to 25 to replace each plaintext letter with a letter a fixed distance away. + - The **key letter** represents the start of this offset alphabet. + - For example, a key letter of F means that A -> F, B -> G, and so on. +- ## Playfair Cipher + - Not even the large number of keys in a monoalphabetic cipher provides security. + - What is a **monoalphabetic cipher**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:40:09.236Z + card-last-reviewed:: 2022-09-18T14:40:09.237Z + card-last-score:: 5 + - A **monoalphabetic cipher** is any cipher in which the letters of the plaintext are mapped to ciphertext letters based on a single alphabetic key. + - One approach to improving security over monoalphabetic ciphers is to to encrypt ^^multiple letters.^^ + - The **Playfair Cipher** is one example of such an approach. + - The algorithm was invented by Charles Wheatstone in 1854, but named after his friend Baron Playfair. + - ### How does the Playfair Cipher work? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:43:16.213Z + card-last-score:: 1 + - ![image.png](../assets/image_1663491286810_0.png) + - 1. Create a 5x5 grid of letters; insert the keyword as shown, with each letter only considered once; fill the grid with the remaining letters in alphabetic order. + - 2. The letters are then encrypted in pairs. + - 3. Repeats have an "X" inserted. + - BALLOON -> BA LX LO ON + - 4. Letters that fall in the same row are replaced with the letter on the right. + - OK -> GM + - 5. Letters in the same column are replaced with the letter below. + - FO -> OU + - 6. Otherwise, each letter gets replaced by the letter in its row but in the other letters column. + - QM -> TH + - ### Security of the Playfair Cipher + - The security is much improved over simple monoalphabetic ciphers, as the Playfair Cipher has $26^2 = 676$ combinations. + - This requires a 676 entry frequency table to analyse (as compared to a 26 entry frequency table for a monoalphabetic cipher) and correspondingly, more ciphertext. + - However, the Playfair Cipher *can* be cracked through frequency analysis of letter pairs, given a few hundred letters. + - +- ## Vigenère Cipher + - [Blaise de Vigenère](https://en.wikipedia.org/wiki/Blaise_de_Vigen%C3%A8re) is generally credited as the inventor of the **Polyalphabetic Substitution Cipher**. + - What is a **Polyalphabetic Substitution Cipher**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:39:24.910Z + card-last-reviewed:: 2022-09-18T14:39:24.912Z + card-last-score:: 5 + - A **Polyalphabetic Substitution Cipher** uses multiple substitution alphabets, as opposed to a monoalphabetic cipher which uses a single alphabetic key. + - The Vigenère Cipher improves security by using many monoalphabetic substitution alphabets, so each letter can be replaced by many others. + - You use a **key** to select which alphabet is used for each letter of the message. + - The $i^{th}$ letter of the key specifies the $i^{th}$ alphabet to use. + - Use each alphabet in turn. + - Repeat from the start after the end of the key is reached. + - + - ### Vigenère Steps + - ![image.png](../assets/image_1663494147352_0.png) + - 1. Write the plaintext out, and write the keyword underneath it, repeated, for the length of the plaintext. + - 2. Use each key letter in turn as a Caesar cipher key. + - 3. Encrypt the corresponding plaintext letter. + - In this example, we use the keyword "CIPHER". Hence, we have the following translation alphabets: + - ![image.png](../assets/image_1663494236099_0.png) + - ### How to crack the Vigenère Cipher + - 1. Search the ciphertext for repeated strings of letters - the longer the string, the better. + - 2. For each occurrence of a repeated string, count how many letters are between the first letters in the string, and add one. + - 3. Factorise that number. + - 4. Repeat this process with each repeated string you find and make a table of common factors. The most common factor, $n$ is most likely the length of the keyword used to encipher the ciphertext. + - 5. Do a frequency count on the ciphertext, on every $n^{th}$ letter. You should end up with $n$ different frequency counts. + - 6. Compare these counts to standard frequency tables to figure out how much each letter was shifted by. + - 7. Undo the shifts and read the message. +- ## Enigma (Rotor Ciphers) + - ### Rotor Ciphers + - The mechanisation / automation of encryption. + - An $\text{N}$-stage polyalphabetic algorithm modulo 26. + - $26^N$ steps before a repetition, where $N$ is the number of cylinders. + - The Enigma machine had 5 cylinders, so: + - $$26^{N=5}=11,881,376 \text{ steps}$$ + - + - ### Breaking Enigma using **Cribs** + - The starting point for breaking Enigma was based on the following: + - Plaintext messages were likely to contain certain phrases. + - Weather reports contained the term "WETTER VORHERSAGE". + - Military units often sent messages containing "KEINE BESONDEREN EREIGNISSE" ("nothing to report"). + - A plaintext letter was never mapped onto the same ciphertext letter. + - While the cryptanalysts in Bletchely Park did not know exactly where these cribs were placed in an intercepted message, they could exclude certain positions. + - ![image.png](../assets/image_1663500888551_0.png) + - From here, possible rotor start positions & rotor wiring would be systematically examined using the "bombe" - an electromechanical device designed by Turing that replicated the action of several Enigma machines wired together. + - +- ## Transposition Ciphers + - What are **Transposition Ciphers**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:46:25.289Z + card-last-score:: 1 + - **Transposition** or **Permutation Ciphers** hide the message by rearranging the letter order ^^without altering the actual letters used.^^ + - This can be recognised since the ciphertext has the same frequency distribution as the original text. + - ### Rail Fence Cipher + - Write plaintext letters out diagonally over a number of rows, then read off the cipher row by row. + - ![image.png](../assets/image_1663501467907_0.png) + - ### Row Transposition Cipher + - What are **Row Transposition Ciphers**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:41:09.367Z + card-last-score:: 1 + - **Row Transposition Ciphers** are a more complex kind of transposition cipher than Rail Fence Ciphers. + - Plaintext letters are written out in rows over a specified number of columns. + - The columns are then re-ordered according to some key before reading off the columns + - ![image.png](../assets/image_1663501773385_0.png) +- +- ## Product Ciphers + - Ciphers using just substitutions or transpositions are not secure because of language characteristics. + - Consider using several ciphers in succession to make it harder to crack: + - Two substitutions make a more complex substitution. + - Two transpositions make a more complex transposition. + - However, a substitution followed by a transposition makes a much harder cipher. + - +- +- # Steganography + - What is **Steganography**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:45:30.141Z + card-last-reviewed:: 2022-09-18T14:45:30.142Z + card-last-score:: 5 + - **Steganography** is an alternative to encryption that hides the existence of the message. + - For example: + - Using only a subset of letters / words in a message marked in some way. + - Using invisible ink. + - Hiding in LSB in graphic image or sound file. + - The drawback of steganography is that it's not very economical in terms of overheads to hide a message. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-09-30T10_01_42.293Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-09-30T10_01_42.293Z.Desktop.md new file mode 100644 index 00000000..b91d47f1 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-09-30T10_01_42.293Z.Desktop.md @@ -0,0 +1,315 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[GDPR]] +- **Next Topic:** null +- **Relevant Slides:** ![ct255_02.pdf](../assets/ct255_02_1663458790357_0.pdf) + id:: 63265db7-1d41-44f7-b4cf-0bab377a7c1c +- +- ## SQL Injections + - What is an **SQL Injection**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:46:36.580Z + card-last-reviewed:: 2022-09-18T14:46:36.581Z + card-last-score:: 3 + - An **SQL Injection** is a ^^code injection technique^^ used to attack data-driven applications, in which malicious SQL statements are inserted for execution. + - It is a way of exploiting user input & SQL statements to compromise the database & retrieve sensitive data. +- +- ## Basic Terminology + - What is **Cryptography**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:46:04.518Z + card-last-reviewed:: 2022-09-18T14:46:04.518Z + card-last-score:: 5 + - **Cryptography** is the art of encompassing the principles & methods of transforming an intelligible message into one that is unintelligible, and then retransforming that message back into its original form. + - What is **Plaintext**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:39:41.558Z + card-last-reviewed:: 2022-09-18T14:39:41.558Z + card-last-score:: 5 + - **Plaintext** is the ^^original, intelligible message.^^ + - What is **Ciphertext**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:39:52.620Z + card-last-reviewed:: 2022-09-18T14:39:52.621Z + card-last-score:: 5 + - **Ciphertext** is the encrypted messsage. + - What is a **Cipher**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:44:53.575Z + card-last-reviewed:: 2022-09-18T14:44:53.575Z + card-last-score:: 5 + - A **Cipher** is an algorithm for transforming an intelligible message into one that is unintelligible. + - What is a **Key**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:43:53.075Z + card-last-reviewed:: 2022-09-18T14:43:53.075Z + card-last-score:: 3 + - A **Key** is some critical information used by the cipher, known only to the sender & receiver, selected from a **keyspace** (the set of all possible keys). + - What does **Encipher** mean? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:46:57.114Z + card-last-reviewed:: 2022-09-18T14:46:57.114Z + card-last-score:: 5 + - **Enciphering** is the process of converting plaintext into ciphertext using a cipher & a key. + - What does **Decipher** mean? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:43:30.989Z + card-last-reviewed:: 2022-09-18T14:43:30.989Z + card-last-score:: 5 + - **Deciphering** is the process of converting ciphertext back into plaintext using a cipher & a key. + - What is **Encryption**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:44:36.754Z + card-last-reviewed:: 2022-09-18T14:44:36.755Z + card-last-score:: 3 + - **Encryption** is some mathematical function $E_K()$ mapping plaintext $P$ to ciphertext $C$ using the specified key $K$. + - $$C=E_K(P)$$ + - What is **Decryption**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:45:19.915Z + card-last-reviewed:: 2022-09-18T14:45:19.915Z + card-last-score:: 3 + - **Decryption** is some mathematical function ${E_K}^{-1}()$ mapping the ciphertext $C$ to plaintext $P$ using the specified key $K$. + - $$P={E_K}^{-1}(C)$$ + - What is **Cryptanalysis**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:41:43.525Z + card-last-reviewed:: 2022-09-18T14:41:43.525Z + card-last-score:: 5 + - **Cryptanalysis** is the study of principles & methods of transforming an unintelligible message into an intelligible message without knowledge of the key. + - What is **Cryptology**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:39:33.475Z + card-last-reviewed:: 2022-09-18T14:39:33.475Z + card-last-score:: 3 + - **Cryptology** is the field encompassing both cryptography & cryptanalysis. + - +- +- ## Model of Conventional Cryptosystem + - ![image.png](../assets/image_1663459919021_0.png){:height 304, :width 610} +- ## Cryptanalysis via Letter Frequency Distribution + - Human languages are **redundant** - letters are not equally commonly used. + - In the **English** language: + - **E** is by far the most common letter followed by T, R, N, I, O, A, and S. + - Other letters like Z, J, K, Q, and X are fairly rare. + - Certain letter combinations like **TH** are quite common. + - ![image.png](../assets/image_1663488626792_0.png) + - + - ### C Program for Frequency Analysis of single Characters + - ```c + #include + #include + #include + + int main(int argc, char* argv[]) { + FILE* fp; + int data[26]; + char c; + + memset(data, 0, siezof(data)); + + if (argc != 2) { + return(-1); + } + if (fp = fopen(argv[1], "r" == NULL)) { + return(-2); + } + + while(!feof(fp)) { + c = toupper(fgetc(fp)); + + if ((c >= 'A') && (c <= 'Z')) { + data[c-65]++; + } + } + + for (int i = 0; i < 26; i++) { + printf("%c:%i\n", i+65, data[i]); + } + + fclose(fp); + return(0); + } + ``` +- ## Known Plaintext Attacks (KPA) + - What is a **Known Plaintext Attack (KPA)**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:46:48.201Z + card-last-reviewed:: 2022-09-18T14:46:48.202Z + card-last-score:: 3 + - The **Known Plaintext Attack (KPA)** is an attack model for cryptanalysis where the attacker has access to both: + - some of, or all of, the plaintext (called a **crib**) + - the ciphertext + - +- +- ## Caesar Cipher + - What is a **Caesar Cipher**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:44:47.075Z + card-last-reviewed:: 2022-09-18T14:44:47.075Z + card-last-score:: 5 + - A **Caesar Cipher** involves using an offset alphabet to encrypt a message. + - We can use any shift from 1 to 25 to replace each plaintext letter with a letter a fixed distance away. + - The **key letter** represents the start of this offset alphabet. + - For example, a key letter of F means that A -> F, B -> G, and so on. +- ## Playfair Cipher + - Not even the large number of keys in a monoalphabetic cipher provides security. + - What is a **monoalphabetic cipher**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:40:09.236Z + card-last-reviewed:: 2022-09-18T14:40:09.237Z + card-last-score:: 5 + - A **monoalphabetic cipher** is any cipher in which the letters of the plaintext are mapped to ciphertext letters based on a single alphabetic key. + - One approach to improving security over monoalphabetic ciphers is to to encrypt ^^multiple letters.^^ + - The **Playfair Cipher** is one example of such an approach. + - The algorithm was invented by Charles Wheatstone in 1854, but named after his friend Baron Playfair. + - ### How does the Playfair Cipher work? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:43:16.213Z + card-last-score:: 1 + - ![image.png](../assets/image_1663491286810_0.png) + - 1. Create a 5x5 grid of letters; insert the keyword as shown, with each letter only considered once; fill the grid with the remaining letters in alphabetic order. + - 2. The letters are then encrypted in pairs. + - 3. Repeats have an "X" inserted. + - BALLOON -> BA LX LO ON + - 4. Letters that fall in the same row are replaced with the letter on the right. + - OK -> GM + - 5. Letters in the same column are replaced with the letter below. + - FO -> OU + - 6. Otherwise, each letter gets replaced by the letter in its row but in the other letters column. + - QM -> TH + - ### Security of the Playfair Cipher + - The security is much improved over simple monoalphabetic ciphers, as the Playfair Cipher has $26^2 = 676$ combinations. + - This requires a 676 entry frequency table to analyse (as compared to a 26 entry frequency table for a monoalphabetic cipher) and correspondingly, more ciphertext. + - However, the Playfair Cipher *can* be cracked through frequency analysis of letter pairs, given a few hundred letters. + - +- ## Vigenère Cipher + - [Blaise de Vigenère](https://en.wikipedia.org/wiki/Blaise_de_Vigen%C3%A8re) is generally credited as the inventor of the **Polyalphabetic Substitution Cipher**. + - What is a **Polyalphabetic Substitution Cipher**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:39:24.910Z + card-last-reviewed:: 2022-09-18T14:39:24.912Z + card-last-score:: 5 + - A **Polyalphabetic Substitution Cipher** uses multiple substitution alphabets, as opposed to a monoalphabetic cipher which uses a single alphabetic key. + - The Vigenère Cipher improves security by using many monoalphabetic substitution alphabets, so each letter can be replaced by many others. + - You use a **key** to select which alphabet is used for each letter of the message. + - The $i^{th}$ letter of the key specifies the $i^{th}$ alphabet to use. + - Use each alphabet in turn. + - Repeat from the start after the end of the key is reached. + - + - ### Vigenère Steps + - ![image.png](../assets/image_1663494147352_0.png) + - 1. Write the plaintext out, and write the keyword underneath it, repeated, for the length of the plaintext. + - 2. Use each key letter in turn as a Caesar cipher key. + - 3. Encrypt the corresponding plaintext letter. + - In this example, we use the keyword "CIPHER". Hence, we have the following translation alphabets: + - ![image.png](../assets/image_1663494236099_0.png) + - ### How to crack the Vigenère Cipher + - 1. Search the ciphertext for repeated strings of letters - the longer the string, the better. + - 2. For each occurrence of a repeated string, count how many letters are between the first letters in the string, and add one. + - 3. Factorise that number. + - 4. Repeat this process with each repeated string you find and make a table of common factors. The most common factor, $n$ is most likely the length of the keyword used to encipher the ciphertext. + - 5. Do a frequency count on the ciphertext, on every $n^{th}$ letter. You should end up with $n$ different frequency counts. + - 6. Compare these counts to standard frequency tables to figure out how much each letter was shifted by. + - 7. Undo the shifts and read the message. +- ## Enigma (Rotor Ciphers) + - ### Rotor Ciphers + - The mechanisation / automation of encryption. + - An $\text{N}$-stage polyalphabetic algorithm modulo 26. + - $26^N$ steps before a repetition, where $N$ is the number of cylinders. + - The Enigma machine had 5 cylinders, so: + - $$26^{N=5}=11,881,376 \text{ steps}$$ + - + - ### Breaking Enigma using **Cribs** + - The starting point for breaking Enigma was based on the following: + - Plaintext messages were likely to contain certain phrases. + - Weather reports contained the term "WETTER VORHERSAGE". + - Military units often sent messages containing "KEINE BESONDEREN EREIGNISSE" ("nothing to report"). + - A plaintext letter was never mapped onto the same ciphertext letter. + - While the cryptanalysts in Bletchely Park did not know exactly where these cribs were placed in an intercepted message, they could exclude certain positions. + - ![image.png](../assets/image_1663500888551_0.png) + - From here, possible rotor start positions & rotor wiring would be systematically examined using the "bombe" - an electromechanical device designed by Turing that replicated the action of several Enigma machines wired together. + - +- ## Transposition Ciphers + - What are **Transposition Ciphers**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:46:25.289Z + card-last-score:: 1 + - **Transposition** or **Permutation Ciphers** hide the message by rearranging the letter order ^^without altering the actual letters used.^^ + - This can be recognised since the ciphertext has the same frequency distribution as the original text. + - ### Rail Fence Cipher + - Write plaintext letters out diagonally over a number of rows, then read off the cipher row by row. + - ![image.png](../assets/image_1663501467907_0.png) + - ### Row Transposition Cipher + - What are **Row Transposition Ciphers**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:41:09.367Z + card-last-score:: 1 + - **Row Transposition Ciphers** are a more complex kind of transposition cipher than Rail Fence Ciphers. + - Plaintext letters are written out in rows over a specified number of columns. + - The columns are then re-ordered according to some key before reading off the columns + - ![image.png](../assets/image_1663501773385_0.png) +- +- ## Product Ciphers + - Ciphers using just substitutions or transpositions are not secure because of language characteristics. + - Consider using several ciphers in succession to make it harder to crack: + - Two substitutions make a more complex substitution. + - Two transpositions make a more complex transposition. + - However, a substitution followed by a transposition makes a much harder cipher. + - +- +- # Steganography + - What is **Steganography**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:45:30.141Z + card-last-reviewed:: 2022-09-18T14:45:30.142Z + card-last-score:: 5 + - **Steganography** is an alternative to encryption that hides the existence of the message. + - For example: + - Using only a subset of letters / words in a message marked in some way. + - Using invisible ink. + - Hiding in LSB in graphic image or sound file. + - The drawback of steganography is that it's not very economical in terms of overheads to hide a message. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-10-07T08_33_33.339Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-10-07T08_33_33.339Z.Desktop.md new file mode 100644 index 00000000..5b30a950 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-10-07T08_33_33.339Z.Desktop.md @@ -0,0 +1,316 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[GDPR]] +- **Next Topic:** [[Human Security & Passwords]] +- **Relevant Slides:** ![ct255_02.pdf](../assets/ct255_02_1663458790357_0.pdf) + id:: 63265db7-1d41-44f7-b4cf-0bab377a7c1c +- +- ## SQL Injections + - What is an **SQL Injection**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-08T12:29:41.822Z + card-last-reviewed:: 2022-10-04T12:29:41.822Z + card-last-score:: 5 + - + - An **SQL Injection** is a ^^code injection technique^^ used to attack data-driven applications, in which malicious SQL statements are inserted for execution. + - It is a way of exploiting user input & SQL statements to compromise the database & retrieve sensitive data. +- +- ## Basic Terminology + - What is **Cryptography**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T12:13:18.768Z + card-last-reviewed:: 2022-09-30T12:13:18.768Z + card-last-score:: 5 + - **Cryptography** is the art of encompassing the principles & methods of transforming an intelligible message into one that is unintelligible, and then retransforming that message back into its original form. + - What is **Plaintext**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T12:07:59.453Z + card-last-reviewed:: 2022-09-30T12:07:59.456Z + card-last-score:: 5 + - **Plaintext** is the ^^original, intelligible message.^^ + - What is **Ciphertext**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T08:29:48.663Z + card-last-reviewed:: 2022-09-30T08:29:48.663Z + card-last-score:: 5 + - **Ciphertext** is the encrypted messsage. + - What is a **Cipher**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-04T12:11:06.873Z + card-last-reviewed:: 2022-09-30T12:11:06.874Z + card-last-score:: 3 + - A **Cipher** is an algorithm for transforming an intelligible message into one that is unintelligible. + - What is a **Key**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-04T12:09:48.972Z + card-last-reviewed:: 2022-09-30T12:09:48.972Z + card-last-score:: 5 + - A **Key** is some critical information used by the cipher, known only to the sender & receiver, selected from a **keyspace** (the set of all possible keys). + - What does **Encipher** mean? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T12:13:23.717Z + card-last-reviewed:: 2022-09-30T12:13:23.717Z + card-last-score:: 5 + - **Enciphering** is the process of converting plaintext into ciphertext using a cipher & a key. + - What does **Decipher** mean? + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T12:09:14.829Z + card-last-reviewed:: 2022-09-30T12:09:14.829Z + card-last-score:: 5 + - **Deciphering** is the process of converting ciphertext back into plaintext using a cipher & a key. + - What is **Encryption**? #card + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-10-04T12:09:55.038Z + card-last-interval:: 4 + card-ease-factor:: 2.46 + card-last-reviewed:: 2022-09-30T12:09:55.039Z + - **Encryption** is some mathematical function $E_K()$ mapping plaintext $P$ to ciphertext $C$ using the specified key $K$. + - $$C=E_K(P)$$ + - What is **Decryption**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-04T12:13:15.777Z + card-last-reviewed:: 2022-09-30T12:13:15.777Z + card-last-score:: 3 + - **Decryption** is some mathematical function ${E_K}^{-1}()$ mapping the ciphertext $C$ to plaintext $P$ using the specified key $K$. + - $$P={E_K}^{-1}(C)$$ + - What is **Cryptanalysis**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T12:08:29.141Z + card-last-reviewed:: 2022-09-30T12:08:29.141Z + card-last-score:: 5 + - **Cryptanalysis** is the study of principles & methods of transforming an unintelligible message into an intelligible message without knowledge of the key. + - What is **Cryptology**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-04T09:29:41.789Z + card-last-reviewed:: 2022-09-30T09:29:41.789Z + card-last-score:: 3 + - **Cryptology** is the field encompassing both cryptography & cryptanalysis. + - +- +- ## Model of Conventional Cryptosystem + - ![image.png](../assets/image_1663459919021_0.png){:height 304, :width 610} +- ## Cryptanalysis via Letter Frequency Distribution + - Human languages are **redundant** - letters are not equally commonly used. + - In the **English** language: + - **E** is by far the most common letter followed by T, R, N, I, O, A, and S. + - Other letters like Z, J, K, Q, and X are fairly rare. + - Certain letter combinations like **TH** are quite common. + - ![image.png](../assets/image_1663488626792_0.png) + - + - ### C Program for Frequency Analysis of single Characters + - ```c + #include + #include + #include + + int main(int argc, char* argv[]) { + FILE* fp; + int data[26]; + char c; + + memset(data, 0, siezof(data)); + + if (argc != 2) { + return(-1); + } + if (fp = fopen(argv[1], "r" == NULL)) { + return(-2); + } + + while(!feof(fp)) { + c = toupper(fgetc(fp)); + + if ((c >= 'A') && (c <= 'Z')) { + data[c-65]++; + } + } + + for (int i = 0; i < 26; i++) { + printf("%c:%i\n", i+65, data[i]); + } + + fclose(fp); + return(0); + } + ``` +- ## Known Plaintext Attacks (KPA) + - What is a **Known Plaintext Attack (KPA)**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-16T14:39:41.014Z + card-last-reviewed:: 2022-10-06T09:39:41.014Z + card-last-score:: 5 + - The **Known Plaintext Attack (KPA)** is an attack model for cryptanalysis where the attacker has access to both: + - some of, or all of, the plaintext (called a **crib**) + - the ciphertext + - +- +- ## Caesar Cipher + - What is a **Caesar Cipher**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T12:09:58.027Z + card-last-reviewed:: 2022-09-30T12:09:58.027Z + card-last-score:: 5 + - A **Caesar Cipher** involves using an offset alphabet to encrypt a message. + - We can use any shift from 1 to 25 to replace each plaintext letter with a letter a fixed distance away. + - The **key letter** represents the start of this offset alphabet. + - For example, a key letter of F means that A -> F, B -> G, and so on. +- ## Playfair Cipher + - Not even the large number of keys in a monoalphabetic cipher provides security. + - What is a **monoalphabetic cipher**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T12:08:03.733Z + card-last-reviewed:: 2022-09-30T12:08:03.733Z + card-last-score:: 5 + - A **monoalphabetic cipher** is any cipher in which the letters of the plaintext are mapped to ciphertext letters based on a single alphabetic key. + - One approach to improving security over monoalphabetic ciphers is to to encrypt ^^multiple letters.^^ + - The **Playfair Cipher** is one example of such an approach. + - The algorithm was invented by Charles Wheatstone in 1854, but named after his friend Baron Playfair. + - ### How does the Playfair Cipher work? + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-10-08T00:33:19.557Z + card-last-interval:: 3.51 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-04T12:33:19.558Z + - ![image.png](../assets/image_1663491286810_0.png) + - 1. Create a 5x5 grid of letters; insert the keyword as shown, with each letter only considered once; fill the grid with the remaining letters in alphabetic order. + - 2. The letters are then encrypted in pairs. + - 3. Repeats have an "X" inserted. + - BALLOON -> BA LX LO ON + - 4. Letters that fall in the same row are replaced with the letter on the right. + - OK -> GM + - 5. Letters in the same column are replaced with the letter below. + - FO -> OU + - 6. Otherwise, each letter gets replaced by the letter in its row but in the other letters column. + - QM -> TH + - ### Security of the Playfair Cipher + - The security is much improved over simple monoalphabetic ciphers, as the Playfair Cipher has $26^2 = 676$ combinations. + - This requires a 676 entry frequency table to analyse (as compared to a 26 entry frequency table for a monoalphabetic cipher) and correspondingly, more ciphertext. + - However, the Playfair Cipher *can* be cracked through frequency analysis of letter pairs, given a few hundred letters. + - +- ## Vigenère Cipher + - [Blaise de Vigenère](https://en.wikipedia.org/wiki/Blaise_de_Vigen%C3%A8re) is generally credited as the inventor of the **Polyalphabetic Substitution Cipher**. + - What is a **Polyalphabetic Substitution Cipher**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T09:29:32.337Z + card-last-score:: 1 + - A **Polyalphabetic Substitution Cipher** uses multiple substitution alphabets, as opposed to a monoalphabetic cipher which uses a single alphabetic key. + - The Vigenère Cipher improves security by using many monoalphabetic substitution alphabets, so each letter can be replaced by many others. + - You use a **key** to select which alphabet is used for each letter of the message. + - The $i^{th}$ letter of the key specifies the $i^{th}$ alphabet to use. + - Use each alphabet in turn. + - Repeat from the start after the end of the key is reached. + - + - ### Vigenère Steps + - ![image.png](../assets/image_1663494147352_0.png) + - 1. Write the plaintext out, and write the keyword underneath it, repeated, for the length of the plaintext. + - 2. Use each key letter in turn as a Caesar cipher key. + - 3. Encrypt the corresponding plaintext letter. + - In this example, we use the keyword "CIPHER". Hence, we have the following translation alphabets: + - ![image.png](../assets/image_1663494236099_0.png) + - ### How to crack the Vigenère Cipher + - 1. Search the ciphertext for repeated strings of letters - the longer the string, the better. + - 2. For each occurrence of a repeated string, count how many letters are between the first letters in the string, and add one. + - 3. Factorise that number. + - 4. Repeat this process with each repeated string you find and make a table of common factors. The most common factor, $n$ is most likely the length of the keyword used to encipher the ciphertext. + - 5. Do a frequency count on the ciphertext, on every $n^{th}$ letter. You should end up with $n$ different frequency counts. + - 6. Compare these counts to standard frequency tables to figure out how much each letter was shifted by. + - 7. Undo the shifts and read the message. +- ## Enigma (Rotor Ciphers) + - ### Rotor Ciphers + - The mechanisation / automation of encryption. + - An $\text{N}$-stage polyalphabetic algorithm modulo 26. + - $26^N$ steps before a repetition, where $N$ is the number of cylinders. + - The Enigma machine had 5 cylinders, so: + - $$26^{N=5}=11,881,376 \text{ steps}$$ + - + - ### Breaking Enigma using **Cribs** + - The starting point for breaking Enigma was based on the following: + - Plaintext messages were likely to contain certain phrases. + - Weather reports contained the term "WETTER VORHERSAGE". + - Military units often sent messages containing "KEINE BESONDEREN EREIGNISSE" ("nothing to report"). + - A plaintext letter was never mapped onto the same ciphertext letter. + - While the cryptanalysts in Bletchely Park did not know exactly where these cribs were placed in an intercepted message, they could exclude certain positions. + - ![image.png](../assets/image_1663500888551_0.png) + - From here, possible rotor start positions & rotor wiring would be systematically examined using the "bombe" - an electromechanical device designed by Turing that replicated the action of several Enigma machines wired together. + - +- ## Transposition Ciphers + - What are **Transposition Ciphers**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T09:08:18.147Z + card-last-reviewed:: 2022-09-30T09:08:18.150Z + card-last-score:: 3 + - **Transposition** or **Permutation Ciphers** hide the message by rearranging the letter order ^^without altering the actual letters used.^^ + - This can be recognised since the ciphertext has the same frequency distribution as the original text. + - ### Rail Fence Cipher + - Write plaintext letters out diagonally over a number of rows, then read off the cipher row by row. + - ![image.png](../assets/image_1663501467907_0.png) + - ### Row Transposition Cipher + - What are **Row Transposition Ciphers**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-03T19:11:23.311Z + card-last-reviewed:: 2022-09-30T09:11:23.312Z + card-last-score:: 3 + - **Row Transposition Ciphers** are a more complex kind of transposition cipher than Rail Fence Ciphers. + - Plaintext letters are written out in rows over a specified number of columns. + - The columns are then re-ordered according to some key before reading off the columns + - ![image.png](../assets/image_1663501773385_0.png) +- +- ## Product Ciphers + - Ciphers using just substitutions or transpositions are not secure because of language characteristics. + - Consider using several ciphers in succession to make it harder to crack: + - Two substitutions make a more complex substitution. + - Two transpositions make a more complex transposition. + - However, a substitution followed by a transposition makes a much harder cipher. + - +- +- # Steganography + - What is **Steganography**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-08T12:33:34.285Z + card-last-reviewed:: 2022-10-04T12:33:34.285Z + card-last-score:: 5 + - **Steganography** is an alternative to encryption that hides the existence of the message. + - For example: + - Using only a subset of letters / words in a message marked in some way. + - Using invisible ink. + - Hiding in LSB in graphic image or sound file. + - The drawback of steganography is that it's not very economical in terms of overheads to hide a message. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-10-10T11_59_52.408Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-10-10T11_59_52.408Z.Desktop.md new file mode 100644 index 00000000..e85833bf --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-10-10T11_59_52.408Z.Desktop.md @@ -0,0 +1,316 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[GDPR]] +- **Next Topic:** [[Human Security & Passwords]] +- **Relevant Slides:** ![ct255_02.pdf](../assets/ct255_02_1663458790357_0.pdf) + id:: 63265db7-1d41-44f7-b4cf-0bab377a7c1c +- +- ## SQL Injections + - What is an **SQL Injection**? #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-19T12:58:54.850Z + card-last-reviewed:: 2022-10-08T22:58:54.851Z + card-last-score:: 5 + - + - An **SQL Injection** is a ***code injection technique*** used to attack data-driven applications, in which malicious SQL statements are inserted for execution. + - It is a way of exploiting user input & SQL statements to compromise the database & retrieve sensitive data. +- +- ## Basic Terminology + - What is **Cryptography**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-10T01:19:02.918Z + card-last-reviewed:: 2022-10-07T10:19:02.918Z + card-last-score:: 5 + - **Cryptography** is the art of encompassing the principles & methods of transforming an intelligible message into one that is unintelligible, and then retransforming that message back into its original form. + - What is **Plaintext**? + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-17T21:24:55.999Z + card-last-interval:: 11.2 + card-ease-factor:: 2.8 + card-last-reviewed:: 2022-10-06T17:24:55.999Z + - **Plaintext** is the ^^original, intelligible message.^^ + - What is **Ciphertext**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-18T14:39:00.206Z + card-last-reviewed:: 2022-10-07T10:39:00.207Z + card-last-score:: 5 + - **Ciphertext** is the encrypted messsage. + - What is a **Cipher**? #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T01:43:58.055Z + card-last-reviewed:: 2022-10-08T22:43:58.056Z + card-last-score:: 5 + - A **Cipher** is an algorithm for transforming an intelligible message into one that is unintelligible. + - What is a **Key**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-11T10:47:20.304Z + card-last-reviewed:: 2022-10-07T10:47:20.304Z + card-last-score:: 3 + - A **Key** is some critical information used by the cipher, known only to the sender & receiver, selected from a **keyspace** (the set of all possible keys). + - What does **Encipher** mean? + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-17T21:14:43.789Z + card-last-interval:: 11.2 + card-ease-factor:: 2.8 + card-last-reviewed:: 2022-10-06T17:14:43.790Z + - **Enciphering** is the process of converting plaintext into ciphertext using a cipher & a key. + - What does **Decipher** mean? + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T12:09:14.829Z + card-last-reviewed:: 2022-09-30T12:09:14.829Z + card-last-score:: 5 + - **Deciphering** is the process of converting ciphertext back into plaintext using a cipher & a key. + - What is **Encryption**? #card + card-last-score:: 3 + card-repeats:: 3 + card-next-schedule:: 2022-10-16T16:40:50.413Z + card-last-interval:: 9.28 + card-ease-factor:: 2.32 + card-last-reviewed:: 2022-10-07T10:40:50.414Z + - **Encryption** is some mathematical function $E_K()$ mapping plaintext $P$ to ciphertext $C$ using the specified key $K$. + - $$E_K(P) = C$$ + - What is **Decryption**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:22:54.739Z + card-last-score:: 1 + - **Decryption** is some mathematical function ${E_K}^{-1}()$ mapping the ciphertext $C$ to plaintext $P$ using the specified key $K$. + - $$P={E_K}^{-1}(C)$$ + - What is **Cryptanalysis**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-17T21:28:14.325Z + card-last-reviewed:: 2022-10-06T17:28:14.325Z + card-last-score:: 5 + - **Cryptanalysis** is the study of principles & methods of transforming an unintelligible message into an intelligible message without knowledge of the key. + - What is **Cryptology**? + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-16T16:40:03.776Z + card-last-reviewed:: 2022-10-07T10:40:03.777Z + card-last-score:: 5 + - **Cryptology** is the field encompassing both cryptography & cryptanalysis. + - +- +- ## Model of Conventional Cryptosystem + - ![image.png](../assets/image_1663459919021_0.png){:height 304, :width 610} +- ## Cryptanalysis via Letter Frequency Distribution + - Human languages are **redundant** - letters are not equally commonly used. + - In the **English** language: + - **E** is by far the most common letter followed by T, R, N, I, O, A, and S. + - Other letters like Z, J, K, Q, and X are fairly rare. + - Certain letter combinations like **TH** are quite common. + - ![image.png](../assets/image_1663488626792_0.png) + - + - ### C Program for Frequency Analysis of single Characters + - ```c + #include + #include + #include + + int main(int argc, char* argv[]) { + FILE* fp; + int data[26]; + char c; + + memset(data, 0, siezof(data)); + + if (argc != 2) { + return(-1); + } + if (fp = fopen(argv[1], "r" == NULL)) { + return(-2); + } + + while(!feof(fp)) { + c = toupper(fgetc(fp)); + + if ((c >= 'A') && (c <= 'Z')) { + data[c-65]++; + } + } + + for (int i = 0; i < 26; i++) { + printf("%c:%i\n", i+65, data[i]); + } + + fclose(fp); + return(0); + } + ``` +- ## Known Plaintext Attacks (KPA) + - What is a **Known Plaintext Attack (KPA)**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-16T14:39:41.014Z + card-last-reviewed:: 2022-10-06T09:39:41.014Z + card-last-score:: 5 + - The **Known Plaintext Attack (KPA)** is an attack model for cryptanalysis where the attacker has access to both: + - some of, or all of, the plaintext (called a **crib**) + - the ciphertext + - +- +- ## Caesar Cipher + - What is a **Caesar Cipher**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-17T21:27:16.902Z + card-last-reviewed:: 2022-10-06T17:27:16.903Z + card-last-score:: 5 + - A **Caesar Cipher** involves using an offset alphabet to encrypt a message. + - We can use any shift from 1 to 25 to replace each plaintext letter with a letter a fixed distance away. + - The **key letter** represents the start of this offset alphabet. + - For example, a key letter of F means that A -> F, B -> G, and so on. +- ## Playfair Cipher + - Not even the large number of keys in a monoalphabetic cipher provides security. + - What is a **monoalphabetic cipher**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-16T22:27:13.914Z + card-last-reviewed:: 2022-10-06T17:27:13.915Z + card-last-score:: 3 + - A **monoalphabetic cipher** is any cipher in which the letters of the plaintext are mapped to ciphertext letters based on a single alphabetic key. + - One approach to improving security over monoalphabetic ciphers is to to encrypt ^^multiple letters.^^ + - The **Playfair Cipher** is one example of such an approach. + - The algorithm was invented by Charles Wheatstone in 1854, but named after his friend Baron Playfair. + - ### How does the Playfair Cipher work? + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-10-08T00:33:19.557Z + card-last-interval:: 3.51 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-04T12:33:19.558Z + - ![image.png](../assets/image_1663491286810_0.png) + - 1. Create a 5x5 grid of letters; insert the keyword as shown, with each letter only considered once; fill the grid with the remaining letters in alphabetic order. + - 2. The letters are then encrypted in pairs. + - 3. Repeats have an "X" inserted. + - BALLOON -> BA LX LO ON + - 4. Letters that fall in the same row are replaced with the letter on the right. + - OK -> GM + - 5. Letters in the same column are replaced with the letter below. + - FO -> OU + - 6. Otherwise, each letter gets replaced by the letter in its row but in the other letters column. + - QM -> TH + - ### Security of the Playfair Cipher + - The security is much improved over simple monoalphabetic ciphers, as the Playfair Cipher has $26^2 = 676$ combinations. + - This requires a 676 entry frequency table to analyse (as compared to a 26 entry frequency table for a monoalphabetic cipher) and correspondingly, more ciphertext. + - However, the Playfair Cipher *can* be cracked through frequency analysis of letter pairs, given a few hundred letters. + - +- ## Vigenère Cipher + - [Blaise de Vigenère](https://en.wikipedia.org/wiki/Blaise_de_Vigen%C3%A8re) is generally credited as the inventor of the **Polyalphabetic Substitution Cipher**. + - What is a **Polyalphabetic Substitution Cipher**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:31:42.282Z + card-last-reviewed:: 2022-10-07T10:31:42.283Z + card-last-score:: 5 + - A **Polyalphabetic Substitution Cipher** uses multiple substitution alphabets, as opposed to a monoalphabetic cipher which uses a single alphabetic key. + - The Vigenère Cipher improves security by using many monoalphabetic substitution alphabets, so each letter can be replaced by many others. + - You use a **key** to select which alphabet is used for each letter of the message. + - The $i^{th}$ letter of the key specifies the $i^{th}$ alphabet to use. + - Use each alphabet in turn. + - Repeat from the start after the end of the key is reached. + - + - ### Vigenère Steps + - ![image.png](../assets/image_1663494147352_0.png) + - 1. Write the plaintext out, and write the keyword underneath it, repeated, for the length of the plaintext. + - 2. Use each key letter in turn as a Caesar cipher key. + - 3. Encrypt the corresponding plaintext letter. + - In this example, we use the keyword "CIPHER". Hence, we have the following translation alphabets: + - ![image.png](../assets/image_1663494236099_0.png) + - ### How to crack the Vigenère Cipher + - 1. Search the ciphertext for repeated strings of letters - the longer the string, the better. + - 2. For each occurrence of a repeated string, count how many letters are between the first letters in the string, and add one. + - 3. Factorise that number. + - 4. Repeat this process with each repeated string you find and make a table of common factors. The most common factor, $n$ is most likely the length of the keyword used to encipher the ciphertext. + - 5. Do a frequency count on the ciphertext, on every $n^{th}$ letter. You should end up with $n$ different frequency counts. + - 6. Compare these counts to standard frequency tables to figure out how much each letter was shifted by. + - 7. Undo the shifts and read the message. +- ## Enigma (Rotor Ciphers) + - ### Rotor Ciphers + - The mechanisation / automation of encryption. + - An $\text{N}$-stage polyalphabetic algorithm modulo 26. + - $26^N$ steps before a repetition, where $N$ is the number of cylinders. + - The Enigma machine had 5 cylinders, so: + - $$26^{N=5}=11,881,376 \text{ steps}$$ + - + - ### Breaking Enigma using **Cribs** + - The starting point for breaking Enigma was based on the following: + - Plaintext messages were likely to contain certain phrases. + - Weather reports contained the term "WETTER VORHERSAGE". + - Military units often sent messages containing "KEINE BESONDEREN EREIGNISSE" ("nothing to report"). + - A plaintext letter was never mapped onto the same ciphertext letter. + - While the cryptanalysts in Bletchely Park did not know exactly where these cribs were placed in an intercepted message, they could exclude certain positions. + - ![image.png](../assets/image_1663500888551_0.png) + - From here, possible rotor start positions & rotor wiring would be systematically examined using the "bombe" - an electromechanical device designed by Turing that replicated the action of several Enigma machines wired together. + - +- ## Transposition Ciphers + - What are **Transposition Ciphers**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-16T07:39:25.895Z + card-last-reviewed:: 2022-10-07T10:39:25.895Z + card-last-score:: 3 + - **Transposition** or **Permutation Ciphers** hide the message by rearranging the letter order ^^without altering the actual letters used.^^ + - This can be recognised since the ciphertext has the same frequency distribution as the original text. + - ### Rail Fence Cipher + - Write plaintext letters out diagonally over a number of rows, then read off the cipher row by row. + - ![image.png](../assets/image_1663501467907_0.png) + - ### Row Transposition Cipher + - What are **Row Transposition Ciphers**? #card + card-last-interval:: 26.21 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-01T22:18:29.590Z + card-last-reviewed:: 2022-10-06T17:18:29.591Z + card-last-score:: 5 + - **Row Transposition Ciphers** are a more complex kind of transposition cipher than Rail Fence Ciphers. + - Plaintext letters are written out in rows over a specified number of columns. + - The columns are then re-ordered according to some key before reading off the columns + - ![image.png](../assets/image_1663501773385_0.png) +- +- ## Product Ciphers + - Ciphers using just substitutions or transpositions are not secure because of language characteristics. + - Consider using several ciphers in succession to make it harder to crack: + - Two substitutions make a more complex substitution. + - Two transpositions make a more complex transposition. + - However, a substitution followed by a transposition makes a much harder cipher. + - +- +- # Steganography + - What is **Steganography**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-20T12:50:18.491Z + card-last-reviewed:: 2022-10-09T08:50:18.492Z + card-last-score:: 5 + - **Steganography** is an alternative to encryption that hides the existence of the message. + - For example: + - Using only a subset of letters / words in a message marked in some way. + - Using invisible ink. + - Hiding in LSB in graphic image or sound file. + - The drawback of steganography is that it's not very economical in terms of overheads to hide a message. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-11-09T13_03_58.123Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-11-09T13_03_58.123Z.Desktop.md new file mode 100644 index 00000000..4a236c01 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-11-09T13_03_58.123Z.Desktop.md @@ -0,0 +1,316 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[GDPR]] +- **Next Topic:** [[Human Security & Passwords]] +- **Relevant Slides:** ![ct255_02.pdf](../assets/ct255_02_1663458790357_0.pdf) + id:: 63265db7-1d41-44f7-b4cf-0bab377a7c1c +- +- ## SQL Injections + - What is an **SQL Injection**? #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-19T12:58:54.850Z + card-last-reviewed:: 2022-10-08T22:58:54.851Z + card-last-score:: 5 + - + - An **SQL Injection** is a ***code injection technique*** used to attack data-driven applications, in which malicious SQL statements are inserted for execution. + - It is a way of exploiting user input & SQL statements to compromise the database & retrieve sensitive data. +- +- ## Basic Terminology + - What is **Cryptography**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-10T01:19:02.918Z + card-last-reviewed:: 2022-10-07T10:19:02.918Z + card-last-score:: 5 + - **Cryptography** is the art of encompassing the principles & methods of transforming an intelligible message into one that is unintelligible, and then retransforming that message back into its original form. + - What is **Plaintext**? + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-17T21:24:55.999Z + card-last-interval:: 11.2 + card-ease-factor:: 2.8 + card-last-reviewed:: 2022-10-06T17:24:55.999Z + - **Plaintext** is the ^^original, intelligible message.^^ + - What is **Ciphertext**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-18T14:39:00.206Z + card-last-reviewed:: 2022-10-07T10:39:00.207Z + card-last-score:: 5 + - **Ciphertext** is the encrypted messsage. + - What is a **Cipher**? #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T01:43:58.055Z + card-last-reviewed:: 2022-10-08T22:43:58.056Z + card-last-score:: 5 + - A **Cipher** is an algorithm for transforming an intelligible message into one that is unintelligible. + - What is a **Key**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-11T10:47:20.304Z + card-last-reviewed:: 2022-10-07T10:47:20.304Z + card-last-score:: 3 + - A **Key** is some critical information used by the cipher, known only to the sender & receiver, selected from a **keyspace** (the set of all possible keys). + - What does **Encipher** mean? + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-17T21:14:43.789Z + card-last-interval:: 11.2 + card-ease-factor:: 2.8 + card-last-reviewed:: 2022-10-06T17:14:43.790Z + - **Enciphering** is the process of converting plaintext into ciphertext using a cipher & a key. + - What does **Decipher** mean? + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T12:09:14.829Z + card-last-reviewed:: 2022-09-30T12:09:14.829Z + card-last-score:: 5 + - **Deciphering** is the process of converting ciphertext back into plaintext using a cipher & a key. + - What is **Encryption**? #card + card-last-score:: 3 + card-repeats:: 3 + card-next-schedule:: 2022-10-16T16:40:50.413Z + card-last-interval:: 9.28 + card-ease-factor:: 2.32 + card-last-reviewed:: 2022-10-07T10:40:50.414Z + - **Encryption** is some mathematical function $E_K()$ mapping plaintext $P$ to ciphertext $C$ using the specified key $K$. + - $$E_K(P) = C$$ + - What is **Decryption**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-14T11:37:04.045Z + card-last-reviewed:: 2022-10-10T11:37:04.046Z + card-last-score:: 5 + - **Decryption** is some mathematical function ${E_K}^{-1}()$ mapping the ciphertext $C$ to plaintext $P$ using the specified key $K$. + - $$P={E_K}^{-1}(C)$$ + - What is **Cryptanalysis**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-16T15:43:11.780Z + card-last-reviewed:: 2022-10-19T08:43:11.781Z + card-last-score:: 3 + - **Cryptanalysis** is the study of principles & methods of transforming an unintelligible message into an intelligible message without knowledge of the key. + - What is **Cryptology**? + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-16T16:40:03.776Z + card-last-reviewed:: 2022-10-07T10:40:03.777Z + card-last-score:: 5 + - **Cryptology** is the field encompassing both cryptography & cryptanalysis. + - +- +- ## Model of Conventional Cryptosystem + - ![image.png](../assets/image_1663459919021_0.png){:height 304, :width 610} +- ## Cryptanalysis via Letter Frequency Distribution + - Human languages are **redundant** - letters are not equally commonly used. + - In the **English** language: + - **E** is by far the most common letter followed by T, R, N, I, O, A, and S. + - Other letters like Z, J, K, Q, and X are fairly rare. + - Certain letter combinations like **TH** are quite common. + - ![image.png](../assets/image_1663488626792_0.png) + - + - ### C Program for Frequency Analysis of single Characters + - ```c + #include + #include + #include + + int main(int argc, char* argv[]) { + FILE* fp; + int data[26]; + char c; + + memset(data, 0, siezof(data)); + + if (argc != 2) { + return(-1); + } + if (fp = fopen(argv[1], "r" == NULL)) { + return(-2); + } + + while(!feof(fp)) { + c = toupper(fgetc(fp)); + + if ((c >= 'A') && (c <= 'Z')) { + data[c-65]++; + } + } + + for (int i = 0; i < 26; i++) { + printf("%c:%i\n", i+65, data[i]); + } + + fclose(fp); + return(0); + } + ``` +- ## Known Plaintext Attacks (KPA) + - What is a **Known Plaintext Attack (KPA)**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-16T14:39:41.014Z + card-last-reviewed:: 2022-10-06T09:39:41.014Z + card-last-score:: 5 + - The **Known Plaintext Attack (KPA)** is an attack model for cryptanalysis where the attacker has access to both: + - some of, or all of, the plaintext (called a **crib**) + - the ciphertext + - +- +- ## Caesar Cipher + - What is a **Caesar Cipher**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-17T21:27:16.902Z + card-last-reviewed:: 2022-10-06T17:27:16.903Z + card-last-score:: 5 + - A **Caesar Cipher** involves using an offset alphabet to encrypt a message. + - We can use any shift from 1 to 25 to replace each plaintext letter with a letter a fixed distance away. + - The **key letter** represents the start of this offset alphabet. + - For example, a key letter of F means that A -> F, B -> G, and so on. +- ## Playfair Cipher + - Not even the large number of keys in a monoalphabetic cipher provides security. + - What is a **monoalphabetic cipher**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-16T22:27:13.914Z + card-last-reviewed:: 2022-10-06T17:27:13.915Z + card-last-score:: 3 + - A **monoalphabetic cipher** is any cipher in which the letters of the plaintext are mapped to ciphertext letters based on a single alphabetic key. + - One approach to improving security over monoalphabetic ciphers is to to encrypt ^^multiple letters.^^ + - The **Playfair Cipher** is one example of such an approach. + - The algorithm was invented by Charles Wheatstone in 1854, but named after his friend Baron Playfair. + - ### How does the Playfair Cipher work? + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-10-08T00:33:19.557Z + card-last-interval:: 3.51 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-04T12:33:19.558Z + - ![image.png](../assets/image_1663491286810_0.png) + - 1. Create a 5x5 grid of letters; insert the keyword as shown, with each letter only considered once; fill the grid with the remaining letters in alphabetic order. + - 2. The letters are then encrypted in pairs. + - 3. Repeats have an "X" inserted. + - BALLOON -> BA LX LO ON + - 4. Letters that fall in the same row are replaced with the letter on the right. + - OK -> GM + - 5. Letters in the same column are replaced with the letter below. + - FO -> OU + - 6. Otherwise, each letter gets replaced by the letter in its row but in the other letters column. + - QM -> TH + - ### Security of the Playfair Cipher + - The security is much improved over simple monoalphabetic ciphers, as the Playfair Cipher has $26^2 = 676$ combinations. + - This requires a 676 entry frequency table to analyse (as compared to a 26 entry frequency table for a monoalphabetic cipher) and correspondingly, more ciphertext. + - However, the Playfair Cipher *can* be cracked through frequency analysis of letter pairs, given a few hundred letters. + - +- ## Vigenère Cipher + - [Blaise de Vigenère](https://en.wikipedia.org/wiki/Blaise_de_Vigen%C3%A8re) is generally credited as the inventor of the **Polyalphabetic Substitution Cipher**. + - What is a **Polyalphabetic Substitution Cipher**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:31:42.282Z + card-last-reviewed:: 2022-10-07T10:31:42.283Z + card-last-score:: 5 + - A **Polyalphabetic Substitution Cipher** uses multiple substitution alphabets, as opposed to a monoalphabetic cipher which uses a single alphabetic key. + - The Vigenère Cipher improves security by using many monoalphabetic substitution alphabets, so each letter can be replaced by many others. + - You use a **key** to select which alphabet is used for each letter of the message. + - The $i^{th}$ letter of the key specifies the $i^{th}$ alphabet to use. + - Use each alphabet in turn. + - Repeat from the start after the end of the key is reached. + - + - ### Vigenère Steps + - ![image.png](../assets/image_1663494147352_0.png) + - 1. Write the plaintext out, and write the keyword underneath it, repeated, for the length of the plaintext. + - 2. Use each key letter in turn as a Caesar cipher key. + - 3. Encrypt the corresponding plaintext letter. + - In this example, we use the keyword "CIPHER". Hence, we have the following translation alphabets: + - ![image.png](../assets/image_1663494236099_0.png) + - ### How to crack the Vigenère Cipher + - 1. Search the ciphertext for repeated strings of letters - the longer the string, the better. + - 2. For each occurrence of a repeated string, count how many letters are between the first letters in the string, and add one. + - 3. Factorise that number. + - 4. Repeat this process with each repeated string you find and make a table of common factors. The most common factor, $n$ is most likely the length of the keyword used to encipher the ciphertext. + - 5. Do a frequency count on the ciphertext, on every $n^{th}$ letter. You should end up with $n$ different frequency counts. + - 6. Compare these counts to standard frequency tables to figure out how much each letter was shifted by. + - 7. Undo the shifts and read the message. +- ## Enigma (Rotor Ciphers) + - ### Rotor Ciphers + - The mechanisation / automation of encryption. + - An $\text{N}$-stage polyalphabetic algorithm modulo 26. + - $26^N$ steps before a repetition, where $N$ is the number of cylinders. + - The Enigma machine had 5 cylinders, so: + - $$26^{N=5}=11,881,376 \text{ steps}$$ + - + - ### Breaking Enigma using **Cribs** + - The starting point for breaking Enigma was based on the following: + - Plaintext messages were likely to contain certain phrases. + - Weather reports contained the term "WETTER VORHERSAGE". + - Military units often sent messages containing "KEINE BESONDEREN EREIGNISSE" ("nothing to report"). + - A plaintext letter was never mapped onto the same ciphertext letter. + - While the cryptanalysts in Bletchely Park did not know exactly where these cribs were placed in an intercepted message, they could exclude certain positions. + - ![image.png](../assets/image_1663500888551_0.png) + - From here, possible rotor start positions & rotor wiring would be systematically examined using the "bombe" - an electromechanical device designed by Turing that replicated the action of several Enigma machines wired together. + - +- ## Transposition Ciphers + - What are **Transposition Ciphers**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-16T07:39:25.895Z + card-last-reviewed:: 2022-10-07T10:39:25.895Z + card-last-score:: 3 + - **Transposition** or **Permutation Ciphers** hide the message by rearranging the letter order ^^without altering the actual letters used.^^ + - This can be recognised since the ciphertext has the same frequency distribution as the original text. + - ### Rail Fence Cipher + - Write plaintext letters out diagonally over a number of rows, then read off the cipher row by row. + - ![image.png](../assets/image_1663501467907_0.png) + - ### Row Transposition Cipher + - What are **Row Transposition Ciphers**? #card + card-last-interval:: 26.21 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-01T22:18:29.590Z + card-last-reviewed:: 2022-10-06T17:18:29.591Z + card-last-score:: 5 + - **Row Transposition Ciphers** are a more complex kind of transposition cipher than Rail Fence Ciphers. + - Plaintext letters are written out in rows over a specified number of columns. + - The columns are then re-ordered according to some key before reading off the columns + - ![image.png](../assets/image_1663501773385_0.png) +- +- ## Product Ciphers + - Ciphers using just substitutions or transpositions are not secure because of language characteristics. + - Consider using several ciphers in succession to make it harder to crack: + - Two substitutions make a more complex substitution. + - Two transpositions make a more complex transposition. + - However, a substitution followed by a transposition makes a much harder cipher. + - +- +- # Steganography + - What is **Steganography**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-20T12:50:18.491Z + card-last-reviewed:: 2022-10-09T08:50:18.492Z + card-last-score:: 5 + - **Steganography** is an alternative to encryption that hides the existence of the message. + - For example: + - Using only a subset of letters / words in a message marked in some way. + - Using invisible ink. + - Hiding in LSB in graphic image or sound file. + - The drawback of steganography is that it's not very economical in terms of overheads to hide a message. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-11-11T12_04_45.345Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-11-11T12_04_45.345Z.Desktop.md new file mode 100644 index 00000000..03788651 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Cryptography/2022-11-11T12_04_45.345Z.Desktop.md @@ -0,0 +1,317 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[GDPR]] +- **Next Topic:** [[Human Security & Passwords]] +- **Relevant Slides:** ![ct255_02.pdf](../assets/ct255_02_1663458790357_0.pdf) + id:: 63265db7-1d41-44f7-b4cf-0bab377a7c1c +- +- ## SQL Injections + - What is an **SQL Injection**? #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-19T12:58:54.850Z + card-last-reviewed:: 2022-10-08T22:58:54.851Z + card-last-score:: 5 + - + - An **SQL Injection** is a ***code injection technique*** used to attack data-driven applications, in which malicious SQL statements are inserted for execution. + - It is a way of exploiting user input & SQL statements to compromise the database & retrieve sensitive data. +- +- ## Basic Terminology + - What is **Cryptography**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-10T01:19:02.918Z + card-last-reviewed:: 2022-10-07T10:19:02.918Z + card-last-score:: 5 + - **Cryptography** is the art of encompassing the principles & methods of transforming an intelligible message into one that is unintelligible, and then retransforming that message back into its original form. + - What is **Plaintext**? + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-17T21:24:55.999Z + card-last-interval:: 11.2 + card-ease-factor:: 2.8 + card-last-reviewed:: 2022-10-06T17:24:55.999Z + - **Plaintext** is the ^^original, intelligible message.^^ + - What is **Ciphertext**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-18T14:39:00.206Z + card-last-reviewed:: 2022-10-07T10:39:00.207Z + card-last-score:: 5 + - **Ciphertext** is the encrypted messsage. + - What is a **Cipher**? #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T01:43:58.055Z + card-last-reviewed:: 2022-10-08T22:43:58.056Z + card-last-score:: 5 + - A **Cipher** is an algorithm for transforming an intelligible message into one that is unintelligible. + - What is a **Key**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-11T10:47:20.304Z + card-last-reviewed:: 2022-10-07T10:47:20.304Z + card-last-score:: 3 + - A **Key** is some critical information used by the cipher, known only to the sender & receiver, selected from a **keyspace** (the set of all possible keys). + - What does **Encipher** mean? + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-17T21:14:43.789Z + card-last-interval:: 11.2 + card-ease-factor:: 2.8 + card-last-reviewed:: 2022-10-06T17:14:43.790Z + - **Enciphering** is the process of converting plaintext into ciphertext using a cipher & a key. + - What does **Decipher** mean? + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T12:09:14.829Z + card-last-reviewed:: 2022-09-30T12:09:14.829Z + card-last-score:: 5 + - **Deciphering** is the process of converting ciphertext back into plaintext using a cipher & a key. + - What is **Encryption**? #card + card-last-score:: 3 + card-repeats:: 3 + card-next-schedule:: 2022-10-16T16:40:50.413Z + card-last-interval:: 9.28 + card-ease-factor:: 2.32 + card-last-reviewed:: 2022-10-07T10:40:50.414Z + - **Encryption** is some mathematical function $E_K()$ mapping plaintext $P$ to ciphertext $C$ using the specified key $K$. + - $$E_K(P) = C$$ + - What is **Decryption**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-14T11:37:04.045Z + card-last-reviewed:: 2022-10-10T11:37:04.046Z + card-last-score:: 5 + - **Decryption** is some mathematical function ${E_K}^{-1}()$ mapping the ciphertext $C$ to plaintext $P$ using the specified key $K$. + - $$P={E_K}^{-1}(C)$$ + - What is **Cryptanalysis**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-16T15:43:11.780Z + card-last-reviewed:: 2022-10-19T08:43:11.781Z + card-last-score:: 3 + - **Cryptanalysis** is the study of principles & methods of transforming an unintelligible message into an intelligible message without knowledge of the key. + - What is **Cryptology**? + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-16T16:40:03.776Z + card-last-reviewed:: 2022-10-07T10:40:03.777Z + card-last-score:: 5 + - **Cryptology** is the field encompassing both cryptography & cryptanalysis. + - +- +- ## Model of Conventional Cryptosystem + - ![image.png](../assets/image_1663459919021_0.png){:height 304, :width 610} +- ## Cryptanalysis via Letter Frequency Distribution + - Human languages are **redundant** - letters are not equally commonly used. + - In the **English** language: + - **E** is by far the most common letter followed by T, R, N, I, O, A, and S. + - Other letters like Z, J, K, Q, and X are fairly rare. + - Certain letter combinations like **TH** are quite common. + - ![image.png](../assets/image_1663488626792_0.png) + - + - ### C Program for Frequency Analysis of single Characters + - ```c + #include + #include + #include + + int main(int argc, char* argv[]) { + FILE* fp; + int data[26]; + char c; + + memset(data, 0, siezof(data)); + + if (argc != 2) { + return(-1); + } + if (fp = fopen(argv[1], "r" == NULL)) { + return(-2); + } + + while(!feof(fp)) { + c = toupper(fgetc(fp)); + + if ((c >= 'A') && (c <= 'Z')) { + data[c-65]++; + } + } + + for (int i = 0; i < 26; i++) { + printf("%c:%i\n", i+65, data[i]); + } + + fclose(fp); + return(0); + } + ``` +- ## Known Plaintext Attacks (KPA) + - What is a **Known Plaintext Attack (KPA)**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-16T14:39:41.014Z + card-last-reviewed:: 2022-10-06T09:39:41.014Z + card-last-score:: 5 + - The **Known Plaintext Attack (KPA)** is an attack model for cryptanalysis where the attacker has access to both: + - some of, or all of, the plaintext (called a **crib**) + - the ciphertext + - +- +- ## Caesar Cipher + - What is a **Caesar Cipher**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-17T21:27:16.902Z + card-last-reviewed:: 2022-10-06T17:27:16.903Z + card-last-score:: 5 + - A **Caesar Cipher** involves using an offset alphabet to encrypt a message. + - We can use any shift from 1 to 25 to replace each plaintext letter with a letter a fixed distance away. + - The **key letter** represents the start of this offset alphabet. + - For example, a key letter of F means that A -> F, B -> G, and so on. +- ## Playfair Cipher + - Not even the large number of keys in a monoalphabetic cipher provides security. + - What is a **monoalphabetic cipher**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-16T22:27:13.914Z + card-last-reviewed:: 2022-10-06T17:27:13.915Z + card-last-score:: 3 + - A **monoalphabetic cipher** is any cipher in which the letters of the plaintext are mapped to ciphertext letters based on a single alphabetic key. + - One approach to improving security over monoalphabetic ciphers is to to encrypt ^^multiple letters.^^ + - The **Playfair Cipher** is one example of such an approach. + - The algorithm was invented by Charles Wheatstone in 1854, but named after his friend Baron Playfair. + - ### How does the Playfair Cipher work? + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-10-08T00:33:19.557Z + card-last-interval:: 3.51 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-04T12:33:19.558Z + - ![image.png](../assets/image_1663491286810_0.png) + - 1. Create a 5x5 grid of letters; insert the keyword as shown, with each letter only considered once; fill the grid with the remaining letters in alphabetic order. + - 2. The letters are then encrypted in pairs. + - 3. Repeats have an "X" inserted. + - BALLOON -> BA LX LO ON + - 4. Letters that fall in the same row are replaced with the letter on the right. + - OK -> GM + - 5. Letters in the same column are replaced with the letter below. + - FO -> OU + - 6. Otherwise, each letter gets replaced by the letter in its row but in the other letters column. + - QM -> TH + - ### Security of the Playfair Cipher + - The security is much improved over simple monoalphabetic ciphers, as the Playfair Cipher has $26^2 = 676$ combinations. + - This requires a 676 entry frequency table to analyse (as compared to a 26 entry frequency table for a monoalphabetic cipher) and correspondingly, more ciphertext. + - However, the Playfair Cipher *can* be cracked through frequency analysis of letter pairs, given a few hundred letters. + - +- ## Vigenère Cipher + - [Blaise de Vigenère](https://en.wikipedia.org/wiki/Blaise_de_Vigen%C3%A8re) is generally credited as the inventor of the **Polyalphabetic Substitution Cipher**. + - What is a **Polyalphabetic Substitution Cipher**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:31:42.282Z + card-last-reviewed:: 2022-10-07T10:31:42.283Z + card-last-score:: 5 + - A **Polyalphabetic Substitution Cipher** uses multiple substitution alphabets, as opposed to a monoalphabetic cipher which uses a single alphabetic key. + - The Vigenère Cipher improves security by using many monoalphabetic substitution alphabets, so each letter can be replaced by many others. + - You use a **key** to select which alphabet is used for each letter of the message. + - The $i^{th}$ letter of the key specifies the $i^{th}$ alphabet to use. + - Use each alphabet in turn. + - Repeat from the start after the end of the key is reached. + - + - ### Vigenère Steps + - ![image.png](../assets/image_1663494147352_0.png) + - 1. Write the plaintext out, and write the keyword underneath it, repeated, for the length of the plaintext. + - 2. Use each key letter in turn as a Caesar cipher key. + - 3. Encrypt the corresponding plaintext letter. + - In this example, we use the keyword "CIPHER". Hence, we have the following translation alphabets: + - ![image.png](../assets/image_1663494236099_0.png) + - ### How to crack the Vigenère Cipher + - 1. Search the ciphertext for repeated strings of letters - the longer the string, the better. + - 2. For each occurrence of a repeated string, count how many letters are between the first letters in the string, and add one. + - 3. Factorise that number. + - 4. Repeat this process with each repeated string you find and make a table of common factors. The most common factor, $n$ is most likely the length of the keyword used to encipher the ciphertext. + - 5. Do a frequency count on the ciphertext, on every $n^{th}$ letter. You should end up with $n$ different frequency counts. + - 6. Compare these counts to standard frequency tables to figure out how much each letter was shifted by. + - 7. Undo the shifts and read the message. +- ## Enigma (Rotor Ciphers) + - ### Rotor Ciphers + - The mechanisation / automation of encryption. + - An $\text{N}$-stage polyalphabetic algorithm modulo 26. + - $26^N$ steps before a repetition, where $N$ is the number of cylinders. + - The Enigma machine had 5 cylinders, so: + - $$26^{N=5}=11,881,376 \text{ steps}$$ + - + - ### Breaking Enigma using **Cribs** + - The starting point for breaking Enigma was based on the following: + - Plaintext messages were likely to contain certain phrases. + - Weather reports contained the term "WETTER VORHERSAGE". + - Military units often sent messages containing "KEINE BESONDEREN EREIGNISSE" ("nothing to report"). + - A plaintext letter was never mapped onto the same ciphertext letter. + - While the cryptanalysts in Bletchely Park did not know exactly where these cribs were placed in an intercepted message, they could exclude certain positions. + - ![image.png](../assets/image_1663500888551_0.png) + - From here, possible rotor start positions & rotor wiring would be systematically examined using the "bombe" - an electromechanical device designed by Turing that replicated the action of several Enigma machines wired together. + - +- ## Transposition Ciphers + - What are **Transposition Ciphers**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-16T07:39:25.895Z + card-last-reviewed:: 2022-10-07T10:39:25.895Z + card-last-score:: 3 + - **Transposition** or **Permutation Ciphers** hide the message by rearranging the letter order ^^without altering the actual letters used.^^ + - This can be recognised since the ciphertext has the same frequency distribution as the original text. + - ### Rail Fence Cipher + id:: 6344093b-2f4f-4c58-95e4-39a8b30d16c3 + - Write plaintext letters out diagonally over a number of rows, then read off the cipher row by row. + - ![image.png](../assets/image_1663501467907_0.png) + - ### Row Transposition Cipher + - What are **Row Transposition Ciphers**? #card + card-last-interval:: 26.21 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-01T22:18:29.590Z + card-last-reviewed:: 2022-10-06T17:18:29.591Z + card-last-score:: 5 + - **Row Transposition Ciphers** are a more complex kind of transposition cipher than ((6344093b-2f4f-4c58-95e4-39a8b30d16c3))s. + - Plaintext letters are written out in rows over a specified number of columns. + - The columns are then re-ordered according to some key before reading off the columns + - ![image.png](../assets/image_1663501773385_0.png) +- +- ## Product Ciphers + - Ciphers using just substitutions or transpositions are not secure because of language characteristics. + - Consider using several ciphers in succession to make it harder to crack: + - Two substitutions make a more complex substitution. + - Two transpositions make a more complex transposition. + - However, a substitution followed by a transposition makes a much harder cipher. + - +- +- # Steganography + - What is **Steganography**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-20T12:50:18.491Z + card-last-reviewed:: 2022-10-09T08:50:18.492Z + card-last-score:: 5 + - **Steganography** is an alternative to encryption that hides the existence of the message. + - For example: + - Using only a subset of letters / words in a message marked in some way. + - Using invisible ink. + - Hiding in LSB in graphic image or sound file. + - The drawback of steganography is that it's not very economical in terms of overheads to hide a message. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Inheritance/2022-10-10T11_59_52.415Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Inheritance/2022-10-10T11_59_52.415Z.Desktop.md new file mode 100644 index 00000000..83001b2b --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Inheritance/2022-10-10T11_59_52.415Z.Desktop.md @@ -0,0 +1,143 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[OOP Modelling]] +- **Next Topic:** +- **Relevant Slides:** ![Lecture-9__2022.pdf](../assets/Lecture-9_2022_1665043655336_0.pdf) ![Lecture-10__2022.pdf](../assets/Lecture-10_2022_1665044307581_0.pdf) +- +- # Object Equality #card + card-last-interval:: 3.45 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T03:26:39.173Z + card-last-reviewed:: 2022-10-06T17:26:39.174Z + card-last-score:: 5 + collapsed:: true + - When you use `==` with reference variables, you are checking if the variables **point** to the same object. + - So, using `==` on strings will only return true if the Strings are references to the same object. It will return to false even if the strings contain the same data. + - The value of a string variable is the **memory location** where its String object is stored. + - When checking for equality between objects, you must use the `equals` method. + - The `equals` method is an instance method that ^^all objects of built-in classes have.^^ + - However, for any class that you define, you will have to write your own equals method. + - All equals methods must have the following method signature: + - ```java + public boolean equals(Object object) + ``` + - Its specific purpose is to define equality between objects. + - It returns a **boolean** value. + - It is **commutative**. + - `str1.equals(str4)` returns the same value as `str4.equals(str1)`. + - Example: + - ```java + String str1 = "Java"; + String str2 = "Ja"; + String str3 = "va"; + String str4 = str2 + str3; + + str1.equals(str4) ? System.out.println("true") : System.out.println("false"); + + ``` +- # `instanceof` #card + card-last-interval:: 4.59 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-12T00:29:22.029Z + card-last-reviewed:: 2022-10-07T10:29:22.030Z + card-last-score:: 5 + - `instanceof` is an operator that is used to determine if a variable is pointing to an object with a particular type. + - ```java + System.out.println(bike2 instanceof Bicycle ? "true" : "false"); + ``` +- # Object + collapsed:: true + - What is the type of `Object obj`? #card + card-last-interval:: 4.59 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-12T00:29:39.466Z + card-last-reviewed:: 2022-10-07T10:29:39.466Z + card-last-score:: 5 + - `obj` is a variable whose type is `java.lang.Object`. + - What is `java.lang.Object`? #card + card-last-interval:: 4.59 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-12T00:30:00.069Z + card-last-reviewed:: 2022-10-07T10:30:00.070Z + card-last-score:: 5 + - `java.lang.Object` is a class that provides the ^^most generic definition^^ of an object in Java. + - It is the **parent class** of every class in Java. + - For example. A `Bicycle` object is a `Bicycle` object **and** a `java.lang.Object` object. + - +- # Casting + - ```java + Bicycle bike1 = (Bicycle) myObject; + String str1 = (String) obj; + ``` + - Here, we can **cast** (convert) a variable from a higher type (`Object`), to a lower type (`Bicycle`). + - This is allowed, as `anObject` point to a Bicycle object - we can check this using `instanceof`. + - `obj` points to a String object - we can check this using `instanceof`. + - Note that the variable type being converted is ^^not the object.^^ +- # Class Hierarchy + - ## Is-a Relationships + - Java organises all its classes in a class hierarchy. + - For example, a car is a type of vehicle, which is a type of object. + - These relationships can be described as "is-a" relationships. + - A car **is-a** vehicle; a vehicle **is-a**(n) object. + - We refer the higher-up types as **parents** and the lower types as **children**. + - Car *is-a child* of Vehicle. + - Vehicle *is-a parent* of Car. + - Object *is the parent* of Vehicle & Car. + - ## Key Ideas in Class Hierarchy + - The top of the hierarchy represents the ^^most **generic** attributes & behaviours.^^ + - The bottom (sometimes referred to as "leaves") represent the ^^most **specific** attributes & behaviours.^^ + - Each level inherits and customises the attributes & behaviours from the level above it. + - `java.lang.Object` is *the* **superclass**, the parent of all classes in Java. + - Every class in Java has the `java.lang.Object` as its superclass (parent). + - ![image.png](../assets/image_1665133543483_0.png) + - All the classes shown above **inherit** (receive) methods from the superclass `java.lang.Object`. + - What is **OOP Inheritance**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:40:20.126Z + card-last-score:: 1 + - **Inheritance** is the means by which objects automatically receive features (fields) & behaviours (methods) from their **superclass**. + - The methods of this superclass are available to all objects of this Class, even though these methods may not be shown in the Class code. + - For example: `.equals()`. + - ### Generic Methods + - All the methods provided by the `java.lang.Object` are *generic*. + - They only relate to `java.lang.Object` classes, not the subclasses. + - When a subclass inherits these methods, it needs to customise them. + - This is why we had to override `.equals()` with our own version for the example Bicycle class. + - ### Overriding + - What is **overriding**? #card + card-last-interval:: 0.81 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T17:46:07.249Z + card-last-reviewed:: 2022-10-08T22:46:07.249Z + card-last-score:: 3 + - **Overriding** is when you write your own version of a method that you have inherited from a superclass. + - It is creating a specific version of a method inherited from a parent (superclass) class. + - When overriding a method, you must keep every part of the method signature the same - You can only change the code in the method body. + - Its name, its parameter types & order, its access level (e.g., public, protected), and its return type. + - #### Annotation + - It is good practice to **annotate** your overridden methods using `@Override`. + - You code will compile & run without it, but it is considered good practice to annotate the methods that are overridden inherited from the superclass. + - ```java + @Override + public boolean equals(Object obj) + { + obj == null ? return false; + + if (obj instanceof Bicycle) + { + Bicycle bike = (Bicycle) obj; + if (this.speed == bike.getSpeed() && this.gear == bike.getGear()) + { + return true; + } + } + return false; + } + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Inheritance/2022-10-20T09_05_57.964Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Inheritance/2022-10-20T09_05_57.964Z.Desktop.md new file mode 100644 index 00000000..1f9d79cc --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Inheritance/2022-10-20T09_05_57.964Z.Desktop.md @@ -0,0 +1,143 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[OOP Modelling]] +- **Next Topic:** [[Coding Up Inheritance]] +- **Relevant Slides:** ![Lecture-9__2022.pdf](../assets/Lecture-9_2022_1665043655336_0.pdf) ![Lecture-10__2022.pdf](../assets/Lecture-10_2022_1665044307581_0.pdf) +- +- # Object Equality #card + card-last-interval:: 3.45 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T03:26:39.173Z + card-last-reviewed:: 2022-10-06T17:26:39.174Z + card-last-score:: 5 + collapsed:: true + - When you use `==` with reference variables, you are checking if the variables **point** to the same object. + - So, using `==` on strings will only return true if the Strings are references to the same object. It will return to false even if the strings contain the same data. + - The value of a string variable is the **memory location** where its String object is stored. + - When checking for equality between objects, you must use the `equals` method. + - The `equals` method is an instance method that ^^all objects of built-in classes have.^^ + - However, for any class that you define, you will have to write your own equals method. + - All equals methods must have the following method signature: + - ```java + public boolean equals(Object object) + ``` + - Its specific purpose is to define equality between objects. + - It returns a **boolean** value. + - It is **commutative**. + - `str1.equals(str4)` returns the same value as `str4.equals(str1)`. + - Example: + - ```java + String str1 = "Java"; + String str2 = "Ja"; + String str3 = "va"; + String str4 = str2 + str3; + + str1.equals(str4) ? System.out.println("true") : System.out.println("false"); + + ``` +- # `instanceof` #card + card-last-interval:: 4.59 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-12T00:29:22.029Z + card-last-reviewed:: 2022-10-07T10:29:22.030Z + card-last-score:: 5 + - `instanceof` is an operator that is used to determine if a variable is pointing to an object with a particular type. + - ```java + System.out.println(bike2 instanceof Bicycle ? "true" : "false"); + ``` +- # Object + collapsed:: true + - What is the type of `Object obj`? #card + card-last-interval:: 4.59 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-12T00:29:39.466Z + card-last-reviewed:: 2022-10-07T10:29:39.466Z + card-last-score:: 5 + - `obj` is a variable whose type is `java.lang.Object`. + - What is `java.lang.Object`? #card + card-last-interval:: 4.59 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-12T00:30:00.069Z + card-last-reviewed:: 2022-10-07T10:30:00.070Z + card-last-score:: 5 + - `java.lang.Object` is a class that provides the ^^most generic definition^^ of an object in Java. + - It is the **parent class** of every class in Java. + - For example. A `Bicycle` object is a `Bicycle` object **and** a `java.lang.Object` object. + - +- # Casting + - ```java + Bicycle bike1 = (Bicycle) myObject; + String str1 = (String) obj; + ``` + - Here, we can **cast** (convert) a variable from a higher type (`Object`), to a lower type (`Bicycle`). + - This is allowed, as `anObject` point to a Bicycle object - we can check this using `instanceof`. + - `obj` points to a String object - we can check this using `instanceof`. + - Note that the variable type being converted is ^^not the object.^^ +- # Class Hierarchy + - ## Is-a Relationships + - Java organises all its classes in a class hierarchy. + - For example, a car is a type of vehicle, which is a type of object. + - These relationships can be described as "is-a" relationships. + - A car **is-a** vehicle; a vehicle **is-a**(n) object. + - We refer the higher-up types as **parents** and the lower types as **children**. + - Car *is-a child* of Vehicle. + - Vehicle *is-a parent* of Car. + - Object *is the parent* of Vehicle & Car. + - ## Key Ideas in Class Hierarchy + - The top of the hierarchy represents the ^^most **generic** attributes & behaviours.^^ + - The bottom (sometimes referred to as "leaves") represent the ^^most **specific** attributes & behaviours.^^ + - Each level inherits and customises the attributes & behaviours from the level above it. + - `java.lang.Object` is *the* **superclass**, the parent of all classes in Java. + - Every class in Java has the `java.lang.Object` as its superclass (parent). + - ![image.png](../assets/image_1665133543483_0.png) + - All the classes shown above **inherit** (receive) methods from the superclass `java.lang.Object`. + - What is **OOP Inheritance**? #card + card-last-interval:: 1.05 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-11T12:34:06.705Z + card-last-reviewed:: 2022-10-10T11:34:06.705Z + card-last-score:: 3 + - **Inheritance** is the means by which objects automatically receive features (fields) & behaviours (methods) from their **superclass**. + - The methods of this superclass are available to all objects of this Class, even though these methods may not be shown in the Class code. + - For example: `.equals()`. + - ### Generic Methods + - All the methods provided by the `java.lang.Object` are *generic*. + - They only relate to `java.lang.Object` classes, not the subclasses. + - When a subclass inherits these methods, it needs to customise them. + - This is why we had to override `.equals()` with our own version for the example Bicycle class. + - ### Overriding + - What is **overriding**? #card + card-last-interval:: 7.48 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T22:44:46.299Z + card-last-reviewed:: 2022-10-10T11:44:46.300Z + card-last-score:: 5 + - **Overriding** is when you write your own version of a method that you have inherited from a superclass. + - It is creating a specific version of a method inherited from a parent (superclass) class. + - When overriding a method, you must keep every part of the method signature the same - You can only change the code in the method body. + - Its name, its parameter types & order, its access level (e.g., public, protected), and its return type. + - #### Annotation + - It is good practice to **annotate** your overridden methods using `@Override`. + - You code will compile & run without it, but it is considered good practice to annotate the methods that are overridden inherited from the superclass. + - ```java + @Override + public boolean equals(Object obj) + { + obj == null ? return false; + + if (obj instanceof Bicycle) + { + Bicycle bike = (Bicycle) obj; + if (this.speed == bike.getSpeed() && this.gear == bike.getGear()) + { + return true; + } + } + return false; + } + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Object-Oriented Programming/2022-09-30T10_01_42.296Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Object-Oriented Programming/2022-09-30T10_01_42.296Z.Desktop.md new file mode 100644 index 00000000..2e28c7e5 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Object-Oriented Programming/2022-09-30T10_01_42.296Z.Desktop.md @@ -0,0 +1,39 @@ +- #[[CT2106 - Object-Oriented Programming]] +- No previous topic +- **Relevant Slides:** ![Lecture00.pdf](../assets/Lecture00_1662850272554_0.pdf) +- +- ## Definitions + - What is a **class**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:27:33.091Z + card-last-reviewed:: 2022-09-19T18:27:33.091Z + card-last-score:: 5 + - A **class** is a type of *blueprint* or *template* from which you make objects. + - What is an **object**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:51:10.520Z + card-last-score:: 1 + - A (Java) **object** is a self-contained component which consists of *methods* and *properties*. + - It is a piece of code that has a **state** and has **behaviour**. + - Often, they represent a "real-life" object. + - An object is created by *instantiating* a **class**. + - What is **bytecode**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:11:44.761Z + card-last-reviewed:: 2022-09-18T15:11:44.762Z + card-last-score:: 5 + - Unlike other high-level programming languages, Java code is **not** compiled into machine-specific code that can be executed by a microprocessor. + - Instead, Java programs are compiled into **bytecode**. The bytecode is input into a **Java Virtual Machine (JVM)**, which interprets & executes the code. The JVM is usually a program itself. + - Bytecode is **platform independent**. + - The JVM is specific for each platform, but the bytecode for the program remains the same across different platforms. + - The main trade-off is the effect it has on the execution speed. + - +- **Next Topic:** [[Introduction to Java]] +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Object-Oriented Programming/2022-10-07T08_33_33.340Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Object-Oriented Programming/2022-10-07T08_33_33.340Z.Desktop.md new file mode 100644 index 00000000..2e62b5c9 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Object-Oriented Programming/2022-10-07T08_33_33.340Z.Desktop.md @@ -0,0 +1,39 @@ +- #[[CT2106 - Object-Oriented Programming]] +- No previous topic +- **Relevant Slides:** ![Lecture00.pdf](../assets/Lecture00_1662850272554_0.pdf) +- +- ## Definitions + - What is a **class**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:29:42.373Z + card-last-reviewed:: 2022-10-03T14:29:42.374Z + card-last-score:: 5 + - A **class** is a type of *blueprint* or *template* from which you make objects. + - What is an **object**? #card + card-last-interval:: 3.33 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-03T16:21:16.230Z + card-last-reviewed:: 2022-09-30T09:21:16.231Z + card-last-score:: 3 + - A (Java) **object** is a self-contained component which consists of *methods* and *properties*. + - It is a piece of code that has a **state** and has **behaviour**. + - Often, they represent a "real-life" object. + - An object is created by *instantiating* a **class**. + - What is **bytecode**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T18:21:49.464Z + card-last-reviewed:: 2022-10-01T13:21:49.465Z + card-last-score:: 3 + - Unlike other high-level programming languages, Java code is **not** compiled into machine-specific code that can be executed by a microprocessor. + - Instead, Java programs are compiled into **bytecode**. The bytecode is input into a **Java Virtual Machine (JVM)**, which interprets & executes the code. The JVM is usually a program itself. + - Bytecode is **platform independent**. + - The JVM is specific for each platform, but the bytecode for the program remains the same across different platforms. + - The main trade-off is the effect it has on the execution speed. + - +- **Next Topic:** [[Introduction to Java]] +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Object-Oriented Programming/2022-11-09T13_03_58.125Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Object-Oriented Programming/2022-11-09T13_03_58.125Z.Desktop.md new file mode 100644 index 00000000..9449f9a9 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to Object-Oriented Programming/2022-11-09T13_03_58.125Z.Desktop.md @@ -0,0 +1,39 @@ +- #[[CT2106 - Object-Oriented Programming]] +- No previous topic +- **Relevant Slides:** ![Lecture00.pdf](../assets/Lecture00_1662850272554_0.pdf) +- +- ## Definitions + - What is a **class**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:29:42.373Z + card-last-reviewed:: 2022-10-03T14:29:42.374Z + card-last-score:: 5 + - A **class** is a type of *blueprint* or *template* from which you make objects. + - What is an **object**? #card + card-last-interval:: 8.8 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-15T12:29:13.252Z + card-last-reviewed:: 2022-10-06T17:29:13.252Z + card-last-score:: 5 + - A (Java) **object** is a self-contained component which consists of *methods* and *properties*. + - It is a piece of code that has a **state** and has **behaviour**. + - Often, they represent a "real-life" object. + - An object is created by *instantiating* a **class**. + - What is **bytecode**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T18:21:49.464Z + card-last-reviewed:: 2022-10-01T13:21:49.465Z + card-last-score:: 3 + - Unlike other high-level programming languages, Java code is **not** compiled into machine-specific code that can be executed by a microprocessor. + - Instead, Java programs are compiled into **bytecode**. The bytecode is input into a **Java Virtual Machine (JVM)**, which interprets & executes the code. The JVM is usually a program itself. + - Bytecode is **platform independent**. + - The JVM is specific for each platform, but the bytecode for the program remains the same across different platforms. + - The main trade-off is the effect it has on the execution speed. + - +- **Next Topic:** [[Introduction to Java]] +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-10-07T08_33_33.343Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-10-07T08_33_33.343Z.Desktop.md new file mode 100644 index 00000000..54b94e82 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-10-07T08_33_33.343Z.Desktop.md @@ -0,0 +1,357 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[The Relational Model]] +- **Next Topic:** null +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663148803122_0.pdf) +- +- # SQL + - What is **SQL**? #card + card-last-interval:: 15.72 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-19T04:41:54.766Z + card-last-reviewed:: 2022-10-03T11:41:54.767Z + card-last-score:: 5 + - **Structured Query Language (SQL)** is a special-purpose **programming language** for relational database systems. + - ### Features of SQL + - SQL is based on *relational algebra*. + - All relational, set, and hybrid operators are supported. + - SQL also has additional operators to allow easier query development. + - SQL has been *standardised* since 1987. + - The American National Standards Institute (ANSI) and International Organization for Standardization (ISO) form SQL standard committees. Many vendors also take part. + - Recent standards include XML-related features in addition to many others, including JSON data types. + - ### ANSI/ISO SQL + - Despite standards, there can be a lack of portability between database systems due to: + - Complexity & size of standards (not all vendors will implement all of the standard). + - The vendor may want to keep the syntax consistent with their other software products / OS or develop features to support their user base. + - The vendor may want to maintain backward compatibility. + - The vendor may want to maintain "Vendor lock-in". + - What is the **standardised SQL syntax** comprised of? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T12:15:02.333Z + card-last-score:: 1 + - The **standardised SQL syntax** comprises 3 components: + - **DDL -** Data Definition Language + - **DCL -** Data Control Language + - **DML -** Data Manipulation Language + - ### DCL: Data Control Language + - What is **DCL** used for? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:28:18.563Z + card-last-score:: 1 + - **Data Control Language** is used to control access to the database & to database relations. + - It is the role of the **database administrator**. + - Very important in multi-user systems. + - What are the typical **DCL** commands? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T09:14:42.612Z + card-last-reviewed:: 2022-09-30T12:14:42.612Z + card-last-score:: 3 + - ```sql + GRANT + REVOKE + ``` + - These can be used to: + - grant / revoke access to the database. + - grant / revoke access to individual relations. + - + - ### DDL: Data Definition Language + - What is **DDL**? #card + card-last-interval:: 8.76 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-09T06:14:56.915Z + card-last-reviewed:: 2022-09-30T12:14:56.915Z + card-last-score:: 3 + - **Data Definition Language** is a standardised language to ^^define the schema of a database.^^ + - It's the back-end of "design" options on the Interface (e.g., Create options). + - What are the typical **DDL** commands? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T08:44:55.362Z + card-last-score:: 1 + - The typical DDL tasks include creating, altering, and removing **database objects** such as tables & indexes. + - Common DDL keywords include: + - ```sql + CREATE + ALTER + DROP + ADD + CONSTRAINT + ``` + - #### Create a table, its indexes, & constraints + - Steps: + - 1. Specify **table** (relation) name. + 2. For each attribute in the table, specify **Attribute Name**, **Data Type**, and any **constraints**. + 3. Specify the **Primary Key** of the table: choose one or more attributes. + 4. Specify **Foreign Keys** *if they exist* and assuming that the attributes & table you are referencing exist (you may have to return to this step). + - Steps 1-3 ^^must be completed for all tables.^^ + - #### Data Types + - The main data types are **strings**, **numeric**, and **date/time**. + - + - **Strings** + - What can **strings** contain? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:26:33.849Z + card-last-reviewed:: 2022-09-30T08:26:33.849Z + card-last-score:: 5 + - **Strings** can contain ^^letters, numbers, & special characters.^^ + - Types of string: #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-04T09:26:44.930Z + card-last-reviewed:: 2022-09-30T09:26:44.930Z + card-last-score:: 5 + - `CHAR(size)` is a string of **fixed length**. `size` can be from 0 to 255 - the default is 1. + - `VARCHAR(size)` is a string of **variable length**. `size` can be from 0 to 65,535. + - if `size` is not specified, it is unlimited + - `TEXT` is the same thing as `VARCHAR` except it is unlimited by default, and takes no argument `size`. + - + - **Date/Time** + - Types of date/time: #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-10-27T22:08:23.636Z + card-last-reviewed:: 2022-10-04T12:08:23.637Z + card-last-score:: 3 + - `DATE` Format: YYYY-MM_DD + - `TIME` Format: hh:mm:ss + - `DATETIME` Format: YYYY-MM-DD hh:mm:ss + - `YEAR` A year in four-digit format + - + - **Numeric** + - The maximum `size` value is 255. + - MySQL supports **unsigned** numeric types but not all DBMS do. + - Types of numerics: #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-13T18:17:13.863Z + card-last-reviewed:: 2022-10-04T12:17:13.863Z + card-last-score:: 3 + - `INTEGERS` - *See next block*. + - `BOOL / BOOLEAN` - 0 is False; non-zero is True. + - `FLOAT` - A floating-point number. 4 bytes, single precision. + - `DOUBLE` - A floating-point number. 8 bytes, double precision. + - `DECIMAL(size, d) / DEC(size,d)` - An exact, fixed-point number. + - `size` = total number of digits (max 65, default 10) + - `d` = number of digits after the decimal point (max 30, default 0) + - + - **Integers** + - Types of integers: + - | **Type** | **Bytes** | **Range** | + | `TINYINT` | 1 | -128 to 127 | + | `SMALLINT` | 2 | -32,768 to 32,767 | + | `MEDIUMINT` | 3 | -8,388,608 to 8,388,607 | + | `INT` | 4| -2,147,483,648 to 2,147,483,647 | + | `BIGINT` | 8 | -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807 | + - ^^Note:^^ the number in brackets next to integers only refers to the number of digits to display, not size. + - + - **Others** + - Unicode char/string + - Binary + - Blob, Json, etc. + - ### DML: Data Manipulation Language + - What is **DML**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-08T12:35:13.598Z + card-last-reviewed:: 2022-10-04T12:35:13.598Z + card-last-score:: 5 + - **Data Manipulation Language** is a standardised language used for ^^adding, deleting, & modifying data in a database.^^ + - What are the typical **DML** commands? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:42:42.165Z + card-last-reviewed:: 2022-10-03T11:42:42.165Z + card-last-score:: 3 + - ```sql + INSERT -- insert data + SELECT -- query (select) data + UPDATE -- update data + DELETE -- delete data + ``` +- +- # Autonumber + - What does `AUTO_INCREMENT` do in MySQL? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-04T08:45:10.629Z + card-last-reviewed:: 2022-09-30T08:45:10.629Z + card-last-score:: 3 + - Specifying an attribute to `AUTO_INCREMENT` tells the DBMS to ^^generate a number automatically when a new tuple is inserted into a table.^^ + - Often, this is used for an "artificial" **primary key** value which is needed to ensure that we have a primary key, but has no meaning for the data being stored. + - Using `AUTO_INCREMENT` means that the DBMS takes care of inserting a unique value automatically every time a new tuple is inserted. + - By default, `AUTO_INCREMENT` is **1**, and is incremented by 1 for each new tuple inserted. +- +- # Constraints + - ## Types of Constraints + - ### Foreign Keys + - What is the syntax for specifying **Foreign Keys**? #card + card-last-interval:: 8.76 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-09T06:15:41.002Z + card-last-reviewed:: 2022-09-30T12:15:41.003Z + card-last-score:: 5 + - ```sql + FOREIGN KEY (attributename) REFERENCES tablename(attributename) + ``` + - You need to specify: + - The keyword `FOREIGN KEY` to indicate that it is a foreign key constraint. + - The attribute name(s) that will identify the foreign keys in the current table. + - If there is more than one attribute, they should be separated by commas. + - Attribute names should be enclosed in brackets. + - The keyword `REFERENCES` to specify the attribute that the foreign key references. + - The table name and the attribute name of the attribute being referenced by the foreign key. + - Again, the attribute name(s)should be in brackets. + - The table name should be **outside** the brackets. + - ^^You cannot create a foreign key link unless the attribute that it is referencing exists.^^ + - ### Using `ALTER` to Modify Design + - **Remember:** You cannot create a foreign key link *unless* the attribute it's referencing already exists. + - If you want to create everything but the foreign keys initially, you can add a foreign key later using the `ALTER TABLE` command + - + - #### Syntax for `ALTER` Command + - To add a constraint: + - ```SQL + ALTER TABLE tablename + ADD CONSTRAINT constraintname FOREIGN KEY (attributename) REFERENCES tablename(attribute name); + ``` + - To add an attribute (column) constraint: + - ```SQL + ALTER TABLE tablename + ADD attributename DATATYPE; + ``` + - ### Domain Constraints + id:: 6321ba81-0b92-447e-9c6f-1953528d51a8 + - What is the **Domain Constraint**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:34:07.625Z + card-last-score:: 1 + - The value of each attribute A must be an **atomic** value from the **domain** dom(A). + - Essentially: ^^the data types & formats must match to that specified.^^ + - ### Entity Integrity Constraints (Primary Key Constraints) + id:: 6321bafc-6bfc-42da-96a9-f05bcfdff9ba + - What is the **Primary Key / Entity Integrity Constraint**? #card + card-last-interval:: 13.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-13T16:14:37.382Z + card-last-reviewed:: 2022-09-30T12:14:37.382Z + card-last-score:: 5 + - The **primary key** should uniquely identify each tuple in a relation. + - This means: + - No duplicate values allowed for the primary key + - No `NULL`values allowed for the primary key + - **Note:** `NULL` values may possibly also not be permitted for other attributes. + - We often see this constraint when filling out forms online ("*required") and the constraint is often necessary for non-key attributes. + - However, we should be careful to only add `NOT NULL` constraints in the databases when they are really necessary. + - + - ### Referential Integrity Constraints + - What are **Referential Integrity Constraints**? #card + card-last-score:: 5 + card-repeats:: 4 + card-next-schedule:: 2022-10-28T18:17:48.915Z + card-last-interval:: 24.27 + card-ease-factor:: 2.56 + card-last-reviewed:: 2022-10-04T12:17:48.915Z + - **Referential Integrity Constraints** are specified between two relations and require the concept of a **foreign key**. The constraint ensures that ^^the database must **not** contain any unmatched foreign keys.^^ + - Therefore, a relationship involving foreign keys **must** be between attributes of the ^^same type & size.^^ + - In addition, a value for a foreign key attribute **must** exist already as a candidate key value. + - Essentially: "no unmatched foreign keys". + - + - ### Semantic Integrity Constraints + - What are **Semantic Integrity Constraints**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T09:15:32.324Z + card-last-reviewed:: 2022-09-30T12:15:32.324Z + card-last-score:: 3 + - **Semantic Integrity Constraints** ensure that the data entered into a row reflects an allowable value for that row. The value must be within the *domain*, or allowable set of values, for that column. + - How are **Semantic Integrity Constraints** specified? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:28:12.548Z + card-last-score:: 1 + - **Semantic Integrity Constraints** are specified & enforced using a *constraint specification language*. + - What are the two types of **Semantic Integrity Constraints**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-03T23:00:00.000Z + card-last-reviewed:: 2022-10-03T11:43:05.343Z + card-last-score:: 1 + - **State Constraints:** Constrain an entity to being in certain states. + - **Transition Constraints:** Constrain an entity to only being updated in certain ways. + - ## Setting Constraints + - **Domain Constraints** are set automatically once the data type is chosen. + - **Entity Constraints** are also set automatically once a primary key has been chosen. + - Usually default constraints are set for foreign keys, but these can be changed. + - + - ## Update Operations & Constraint Violations + - The DBMS must check that the constraints are not violated whenever **update operations** are applied. + - + - ### Insert Operation + - What does the **Insert Operation** do? #card + card-last-interval:: 13.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-13T16:15:27.475Z + card-last-reviewed:: 2022-09-30T12:15:27.476Z + card-last-score:: 5 + - The **Insert Operation** provides a list of attribute values for a new tuple $t$ that is to be inserted into a relation $R$. + - This can happen directly via the interface or via the query. + - If a constraint is violated, the DBMS will reject the insertion - usually with an explanation. + - ### Delete Operation + - How can a **Delete Operation** violate constraints? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-04T08:44:42.623Z + card-last-reviewed:: 2022-09-30T08:44:42.623Z + card-last-score:: 3 + - A **delete operation** can only violate **integrity constraints**, i.e., if the tuple being deleted is referenced by the foreign key from other tuples. + - The DBMS can: + - reject deletion, without explanation. + - attempt to *cascade* deletion. + - modify referencing attribute. + - #### Update Operation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T08:44:33.401Z + card-last-score:: 1 + - An **update** operation is used to change the values of one or more attributes in a tuple of a table. + - Issues already discussed with insert & delete could arise with this operation, specifically: + - If a primary key is modified, that's essentially the same as deleting one tuple and inserting another tuple in its place. + - If a foreign key is modified, the DBMS must ensure that the new value refers to an existing tuple in the reference relation. + - ### Cascade Update & Delete + - Whenever tuples in the **referenced** (master) table are deleted or updated, the respective tuples of the **referencing** (child) table with a matching foreign key column will be deleted or updated as well. + - Note that if cascading `DELETE` is turned on, there could be many deletions performed with a single query such as: + - ```sql + DELETE FROM employee + WHERE ssn = 12345678; + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-10-10T11_59_52.426Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-10-10T11_59_52.426Z.Desktop.md new file mode 100644 index 00000000..576a3cd2 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-10-10T11_59_52.426Z.Desktop.md @@ -0,0 +1,364 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[The Relational Model]] +- **Next Topic:** null +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663148803122_0.pdf) +- +- # SQL + - What is **SQL**? #card + card-last-interval:: 15.72 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-19T04:41:54.766Z + card-last-reviewed:: 2022-10-03T11:41:54.767Z + card-last-score:: 5 + - **Structured Query Language (SQL)** is a special-purpose **programming language** for relational database systems. + - ### Features of SQL + - SQL is based on *relational algebra*. + - All relational, set, and hybrid operators are supported. + - SQL also has additional operators to allow easier query development. + - SQL has been *standardised* since 1987. + - The American National Standards Institute (ANSI) and International Organization for Standardization (ISO) form SQL standard committees. Many vendors also take part. + - Recent standards include XML-related features in addition to many others, including JSON data types. + - ### ANSI/ISO SQL + - Despite standards, there can be a lack of portability between database systems due to: + - Complexity & size of standards (not all vendors will implement all of the standard). + - The vendor may want to keep the syntax consistent with their other software products / OS or develop features to support their user base. + - The vendor may want to maintain backward compatibility. + - The vendor may want to maintain "Vendor lock-in". + - What is the **standardised SQL syntax** comprised of? #card + card-last-interval:: 3.71 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T03:32:46.591Z + card-last-reviewed:: 2022-10-07T10:32:46.591Z + card-last-score:: 3 + - The **standardised SQL syntax** comprises 3 components: + - **DDL -** Data Definition Language + - **DCL -** Data Control Language + - **DML -** Data Manipulation Language + - ### DCL: Data Control Language + - What is **DCL** used for? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T03:24:46.993Z + card-last-reviewed:: 2022-10-06T17:24:46.993Z + card-last-score:: 5 + - **Data Control Language** is used to control access to the database & to database relations. + - It is the role of the **database administrator**. + - Very important in multi-user systems. + - What are the typical **DCL** commands? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T09:14:42.612Z + card-last-reviewed:: 2022-09-30T12:14:42.612Z + card-last-score:: 3 + - ```sql + GRANT + REVOKE + ``` + - These can be used to: + - grant / revoke access to the database. + - grant / revoke access to individual relations. + - + - ### DDL: Data Definition Language + - What is **DDL**? #card + card-last-interval:: 8.76 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-09T06:14:56.915Z + card-last-reviewed:: 2022-09-30T12:14:56.915Z + card-last-score:: 3 + - **Data Definition Language** is a standardised language to ^^define the schema of a database.^^ + - It's the back-end of "design" options on the Interface (e.g., Create options). + - What are the typical **DDL** commands? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:33:30.852Z + card-last-reviewed:: 2022-10-07T10:33:30.852Z + card-last-score:: 3 + - The typical DDL tasks include creating, altering, and removing **database objects** such as tables & indexes. + - Common DDL keywords include: + - ```sql + CREATE + ALTER + DROP + ADD + CONSTRAINT + ``` + - #### Create a table, its indexes, & constraints + - Steps: + - 1. Specify **table** (relation) name. + 2. For each attribute in the table, specify **Attribute Name**, **Data Type**, and any **constraints**. + 3. Specify the **Primary Key** of the table: choose one or more attributes. + 4. Specify **Foreign Keys** *if they exist* and assuming that the attributes & table you are referencing exist (you may have to return to this step). + - Steps 1-3 ^^must be completed for all tables.^^ + - #### Data Types + - The main data types are **strings**, **numeric**, and **date/time**. + - + - **Strings** + - What can **strings** contain? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:26:33.849Z + card-last-reviewed:: 2022-09-30T08:26:33.849Z + card-last-score:: 5 + - **Strings** can contain ^^letters, numbers, & special characters.^^ + - Types of string: #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:19:22.819Z + card-last-reviewed:: 2022-10-07T10:19:22.820Z + card-last-score:: 5 + - `CHAR(size)` is a string of **fixed length**. `size` can be from 0 to 255 - the default is 1. + - `VARCHAR(size)` is a string of **variable length**. `size` can be from 0 to 65,535. + - if `size` is not specified, it is unlimited + - `TEXT` is the same thing as `VARCHAR` except it is unlimited by default, and takes no argument `size`. + - + - **Date/Time** + - Types of date/time: #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-10-27T22:08:23.636Z + card-last-reviewed:: 2022-10-04T12:08:23.637Z + card-last-score:: 3 + - `DATE` Format: YYYY-MM_DD + - `TIME` Format: hh:mm:ss + - `DATETIME` Format: YYYY-MM-DD hh:mm:ss + - `YEAR` A year in four-digit format + - + - **Numeric** + - The maximum `size` value is 255. + - MySQL supports **unsigned** numeric types but not all DBMS do. + - Types of numerics: #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-13T18:17:13.863Z + card-last-reviewed:: 2022-10-04T12:17:13.863Z + card-last-score:: 3 + - `INTEGERS` - *See next block*. + - `BOOL / BOOLEAN` - 0 is False; non-zero is True. + - `FLOAT` - A floating-point number. 4 bytes, single precision. + - `DOUBLE` - A floating-point number. 8 bytes, double precision. + - `DECIMAL(size, d) / DEC(size,d)` - An exact, fixed-point number. + - `size` = total number of digits (max 65, default 10) + - `d` = number of digits after the decimal point (max 30, default 0) + - + - **Integers** + - Types of integers: + - | **Type** | **Bytes** | **Range** | + | `TINYINT` | 1 | -128 to 127 | + | `SMALLINT` | 2 | -32,768 to 32,767 | + | `MEDIUMINT` | 3 | -8,388,608 to 8,388,607 | + | `INT` | 4| -2,147,483,648 to 2,147,483,647 | + | `BIGINT` | 8 | -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807 | + - ^^Note:^^ the number in brackets next to integers only refers to the number of digits to display, not size. + - + - **Others** + - Unicode char/string + - Binary + - Blob, Json, etc. + - ### DML: Data Manipulation Language + - What is **DML**? #card + card-last-interval:: 9.68 + card-repeats:: 3 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-10-19T00:50:25.340Z + card-last-reviewed:: 2022-10-09T08:50:25.341Z + card-last-score:: 5 + - **Data Manipulation Language** is a standardised language used for ^^adding, deleting, & modifying data in a database.^^ + - What are the typical **DML** commands? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:42:42.165Z + card-last-reviewed:: 2022-10-03T11:42:42.165Z + card-last-score:: 3 + - ```sql + INSERT -- insert data + SELECT -- query (select) data + UPDATE -- update data + DELETE -- delete data + ``` +- +- # Autonumber + - What does `AUTO_INCREMENT` do in MySQL? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:39:18.480Z + card-last-reviewed:: 2022-10-07T10:39:18.480Z + card-last-score:: 5 + - Specifying an attribute to `AUTO_INCREMENT` tells the DBMS to ^^generate a number automatically when a new tuple is inserted into a table.^^ + - Often, this is used for an "artificial" **primary key** value which is needed to ensure that we have a primary key, but has no meaning for the data being stored. + - Using `AUTO_INCREMENT` means that the DBMS takes care of inserting a unique value automatically every time a new tuple is inserted. + - By default, `AUTO_INCREMENT` is **1**, and is incremented by 1 for each new tuple inserted. +- +- # Constraints + - ## Types of Constraints + - ### Foreign Keys + - What is the syntax for specifying **Foreign Keys**? #card + card-last-interval:: 8.76 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-09T06:15:41.002Z + card-last-reviewed:: 2022-09-30T12:15:41.003Z + card-last-score:: 5 + - ```sql + FOREIGN KEY (attributename) REFERENCES tablename(attributename) + ``` + - You need to specify: + - The keyword `FOREIGN KEY` to indicate that it is a foreign key constraint. + - The attribute name(s) that will identify the foreign keys in the current table. + - If there is more than one attribute, they should be separated by commas. + - Attribute names should be enclosed in brackets. + - The keyword `REFERENCES` to specify the attribute that the foreign key references. + - The table name and the attribute name of the attribute being referenced by the foreign key. + - Again, the attribute name(s)should be in brackets. + - The table name should be **outside** the brackets. + - ^^You cannot create a foreign key link unless the attribute that it is referencing exists.^^ + - ### Using `ALTER` to Modify Design + - **Remember:** You cannot create a foreign key link *unless* the attribute it's referencing already exists. + - If you want to create everything but the foreign keys initially, you can add a foreign key later using the `ALTER TABLE` command + - + - #### Syntax for `ALTER` Command + - To add a constraint: + - ```SQL + ALTER TABLE tablename + ADD CONSTRAINT constraintname FOREIGN KEY (attributename) REFERENCES tablename(attribute name); + ``` + - To add an attribute (column) constraint: + - ```SQL + ALTER TABLE tablename + ADD attributename DATATYPE; + ``` + - ### Domain Constraints + id:: 6321ba81-0b92-447e-9c6f-1953528d51a8 + - What is the **Domain Constraint**? #card + card-last-interval:: 4.28 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T16:20:44.796Z + card-last-reviewed:: 2022-10-07T10:20:44.796Z + card-last-score:: 5 + - The value of each attribute A must be an **atomic** value from the **domain** dom(A). + - Essentially: ^^the data types & formats must match to that specified.^^ + - ### Entity Integrity Constraints (Primary Key Constraints) + id:: 6321bafc-6bfc-42da-96a9-f05bcfdff9ba + - What is the **Primary Key / Entity Integrity Constraint**? #card + card-last-interval:: 13.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-13T16:14:37.382Z + card-last-reviewed:: 2022-09-30T12:14:37.382Z + card-last-score:: 5 + - The **primary key** should uniquely identify each tuple in a relation. + - This means: + - No duplicate values allowed for the primary key + - No `NULL`values allowed for the primary key + - **Note:** `NULL` values may possibly also not be permitted for other attributes. + - We often see this constraint when filling out forms online ("*required") and the constraint is often necessary for non-key attributes. + - However, we should be careful to only add `NOT NULL` constraints in the databases when they are really necessary. + - + - ### Referential Integrity Constraints + - What are **Referential Integrity Constraints**? #card + card-last-score:: 5 + card-repeats:: 4 + card-next-schedule:: 2022-10-28T18:17:48.915Z + card-last-interval:: 24.27 + card-ease-factor:: 2.56 + card-last-reviewed:: 2022-10-04T12:17:48.915Z + - **Referential Integrity Constraints** are specified between two relations and require the concept of a **foreign key**. The constraint ensures that ^^the database must **not** contain any unmatched foreign keys.^^ + - Therefore, a relationship involving foreign keys **must** be between attributes of the ^^same type & size.^^ + - In addition, a value for a foreign key attribute **must** exist already as a candidate key value. + - Essentially: "no unmatched foreign keys". + - + - ### Semantic Integrity Constraints + - What are **Semantic Integrity Constraints**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T09:15:32.324Z + card-last-reviewed:: 2022-09-30T12:15:32.324Z + card-last-score:: 3 + - **Semantic Integrity Constraints** ensure that the data entered into a row reflects an allowable value for that row. The value must be within the *domain*, or allowable set of values, for that column. + - How are **Semantic Integrity Constraints** specified? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:32:01.681Z + card-last-score:: 1 + - **Semantic Integrity Constraints** are specified & enforced using a *constraint specification language*. + - What are the two types of **Semantic Integrity Constraints**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T15:15:01.657Z + card-last-reviewed:: 2022-10-08T15:15:01.658Z + card-last-score:: 3 + - **State Constraints:** Constrain an entity to being in certain states. + - **Transition Constraints:** Constrain an entity to only being updated in certain ways. + - ## Setting Constraints + - **Domain Constraints** are set automatically once the data type is chosen. + - **Entity Constraints** are also set automatically once a primary key has been chosen. + - Usually default constraints are set for foreign keys, but these can be changed. + - + - ## Update Operations & Constraint Violations + - The DBMS must check that the constraints are not violated whenever **update operations** are applied. + - + - ### Insert Operation + - What does the **Insert Operation** do? #card + card-last-interval:: 13.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-13T16:15:27.475Z + card-last-reviewed:: 2022-09-30T12:15:27.476Z + card-last-score:: 5 + - The **Insert Operation** provides a list of attribute values for a new tuple $t$ that is to be inserted into a relation $R$. + - This can happen directly via the interface or via the query. + - If a constraint is violated, the DBMS will reject the insertion - usually with an explanation. + - ### Delete Operation + - How can a **Delete Operation** violate constraints? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:39:11.689Z + card-last-reviewed:: 2022-10-07T10:39:11.689Z + card-last-score:: 5 + - A **delete operation** can only violate **integrity constraints**, i.e., if the tuple being deleted is referenced by the foreign key from other tuples. + - The DBMS can: + - reject deletion, without explanation. + - attempt to *cascade* deletion. + - modify referencing attribute. + - #### Update Operation + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-07T10:32:05.858Z + - What is an **Update** Operation? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:18:56.111Z + card-last-score:: 1 + - An **update** operation is used to change the values of one or more attributes in a tuple of a table. + - Issues already discussed with insert & delete could arise with this operation, specifically: + - If a primary key is modified, that's essentially the same as deleting one tuple and inserting another tuple in its place. + - If a foreign key is modified, the DBMS must ensure that the new value refers to an existing tuple in the reference relation. + - ### Cascade Update & Delete + - Whenever tuples in the **referenced** (master) table are deleted or updated, the respective tuples of the **referencing** (child) table with a matching foreign key column will be deleted or updated as well. + - Note that if cascading `DELETE` is turned on, there could be many deletions performed with a single query such as: + - ```sql + DELETE FROM employee + WHERE ssn = 12345678; + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-10-20T09_05_57.967Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-10-20T09_05_57.967Z.Desktop.md new file mode 100644 index 00000000..05a7194c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-10-20T09_05_57.967Z.Desktop.md @@ -0,0 +1,364 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[The Relational Model]] +- **Next Topic:** null +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663148803122_0.pdf) +- +- # SQL + - What is **SQL**? #card + card-last-interval:: 15.72 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-19T04:41:54.766Z + card-last-reviewed:: 2022-10-03T11:41:54.767Z + card-last-score:: 5 + - **Structured Query Language (SQL)** is a special-purpose **programming language** for relational database systems. + - ### Features of SQL + - SQL is based on *relational algebra*. + - All relational, set, and hybrid operators are supported. + - SQL also has additional operators to allow easier query development. + - SQL has been *standardised* since 1987. + - The American National Standards Institute (ANSI) and International Organization for Standardization (ISO) form SQL standard committees. Many vendors also take part. + - Recent standards include XML-related features in addition to many others, including JSON data types. + - ### ANSI/ISO SQL + - Despite standards, there can be a lack of portability between database systems due to: + - Complexity & size of standards (not all vendors will implement all of the standard). + - The vendor may want to keep the syntax consistent with their other software products / OS or develop features to support their user base. + - The vendor may want to maintain backward compatibility. + - The vendor may want to maintain "Vendor lock-in". + - What is the **standardised SQL syntax** comprised of? #card + card-last-interval:: 3.71 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T03:32:46.591Z + card-last-reviewed:: 2022-10-07T10:32:46.591Z + card-last-score:: 3 + - The **standardised SQL syntax** comprises 3 components: + - **DDL -** Data Definition Language + - **DCL -** Data Control Language + - **DML -** Data Manipulation Language + - ### DCL: Data Control Language + - What is **DCL** used for? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T03:24:46.993Z + card-last-reviewed:: 2022-10-06T17:24:46.993Z + card-last-score:: 5 + - **Data Control Language** is used to control access to the database & to database relations. + - It is the role of the **database administrator**. + - Very important in multi-user systems. + - What are the typical **DCL** commands? #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-27T18:44:02.090Z + card-last-reviewed:: 2022-10-10T11:44:02.091Z + card-last-score:: 3 + - ```sql + GRANT + REVOKE + ``` + - These can be used to: + - grant / revoke access to the database. + - grant / revoke access to individual relations. + - + - ### DDL: Data Definition Language + - What is **DDL**? #card + card-last-interval:: 27.13 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-06T14:42:59.239Z + card-last-reviewed:: 2022-10-10T11:42:59.239Z + card-last-score:: 5 + - **Data Definition Language** is a standardised language to ^^define the schema of a database.^^ + - It's the back-end of "design" options on the Interface (e.g., Create options). + - What are the typical **DDL** commands? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:33:30.852Z + card-last-reviewed:: 2022-10-07T10:33:30.852Z + card-last-score:: 3 + - The typical DDL tasks include creating, altering, and removing **database objects** such as tables & indexes. + - Common DDL keywords include: + - ```sql + CREATE + ALTER + DROP + ADD + CONSTRAINT + ``` + - #### Create a table, its indexes, & constraints + - Steps: + - 1. Specify **table** (relation) name. + 2. For each attribute in the table, specify **Attribute Name**, **Data Type**, and any **constraints**. + 3. Specify the **Primary Key** of the table: choose one or more attributes. + 4. Specify **Foreign Keys** *if they exist* and assuming that the attributes & table you are referencing exist (you may have to return to this step). + - Steps 1-3 ^^must be completed for all tables.^^ + - #### Data Types + - The main data types are **strings**, **numeric**, and **date/time**. + - + - **Strings** + - What can **strings** contain? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:26:33.849Z + card-last-reviewed:: 2022-09-30T08:26:33.849Z + card-last-score:: 5 + - **Strings** can contain ^^letters, numbers, & special characters.^^ + - Types of string: #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:19:22.819Z + card-last-reviewed:: 2022-10-07T10:19:22.820Z + card-last-score:: 5 + - `CHAR(size)` is a string of **fixed length**. `size` can be from 0 to 255 - the default is 1. + - `VARCHAR(size)` is a string of **variable length**. `size` can be from 0 to 65,535. + - if `size` is not specified, it is unlimited + - `TEXT` is the same thing as `VARCHAR` except it is unlimited by default, and takes no argument `size`. + - + - **Date/Time** + - Types of date/time: #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-10-27T22:08:23.636Z + card-last-reviewed:: 2022-10-04T12:08:23.637Z + card-last-score:: 3 + - `DATE` Format: YYYY-MM_DD + - `TIME` Format: hh:mm:ss + - `DATETIME` Format: YYYY-MM-DD hh:mm:ss + - `YEAR` A year in four-digit format + - + - **Numeric** + - The maximum `size` value is 255. + - MySQL supports **unsigned** numeric types but not all DBMS do. + - Types of numerics: #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-13T18:17:13.863Z + card-last-reviewed:: 2022-10-04T12:17:13.863Z + card-last-score:: 3 + - `INTEGERS` - *See next block*. + - `BOOL / BOOLEAN` - 0 is False; non-zero is True. + - `FLOAT` - A floating-point number. 4 bytes, single precision. + - `DOUBLE` - A floating-point number. 8 bytes, double precision. + - `DECIMAL(size, d) / DEC(size,d)` - An exact, fixed-point number. + - `size` = total number of digits (max 65, default 10) + - `d` = number of digits after the decimal point (max 30, default 0) + - + - **Integers** + - Types of integers: + - | **Type** | **Bytes** | **Range** | + | `TINYINT` | 1 | -128 to 127 | + | `SMALLINT` | 2 | -32,768 to 32,767 | + | `MEDIUMINT` | 3 | -8,388,608 to 8,388,607 | + | `INT` | 4| -2,147,483,648 to 2,147,483,647 | + | `BIGINT` | 8 | -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807 | + - ^^Note:^^ the number in brackets next to integers only refers to the number of digits to display, not size. + - + - **Others** + - Unicode char/string + - Binary + - Blob, Json, etc. + - ### DML: Data Manipulation Language + - What is **DML**? #card + card-last-interval:: 9.68 + card-repeats:: 3 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-10-19T00:50:25.340Z + card-last-reviewed:: 2022-10-09T08:50:25.341Z + card-last-score:: 5 + - **Data Manipulation Language** is a standardised language used for ^^adding, deleting, & modifying data in a database.^^ + - What are the typical **DML** commands? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:42:42.165Z + card-last-reviewed:: 2022-10-03T11:42:42.165Z + card-last-score:: 3 + - ```sql + INSERT -- insert data + SELECT -- query (select) data + UPDATE -- update data + DELETE -- delete data + ``` +- +- # Autonumber + - What does `AUTO_INCREMENT` do in MySQL? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:39:18.480Z + card-last-reviewed:: 2022-10-07T10:39:18.480Z + card-last-score:: 5 + - Specifying an attribute to `AUTO_INCREMENT` tells the DBMS to ^^generate a number automatically when a new tuple is inserted into a table.^^ + - Often, this is used for an "artificial" **primary key** value which is needed to ensure that we have a primary key, but has no meaning for the data being stored. + - Using `AUTO_INCREMENT` means that the DBMS takes care of inserting a unique value automatically every time a new tuple is inserted. + - By default, `AUTO_INCREMENT` is **1**, and is incremented by 1 for each new tuple inserted. +- +- # Constraints + - ## Types of Constraints + - ### Foreign Keys + - What is the syntax for specifying **Foreign Keys**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-31T23:43:12.658Z + card-last-reviewed:: 2022-10-10T11:43:12.658Z + card-last-score:: 3 + - ```sql + FOREIGN KEY (attributename) REFERENCES tablename(attributename) + ``` + - You need to specify: + - The keyword `FOREIGN KEY` to indicate that it is a foreign key constraint. + - The attribute name(s) that will identify the foreign keys in the current table. + - If there is more than one attribute, they should be separated by commas. + - Attribute names should be enclosed in brackets. + - The keyword `REFERENCES` to specify the attribute that the foreign key references. + - The table name and the attribute name of the attribute being referenced by the foreign key. + - Again, the attribute name(s)should be in brackets. + - The table name should be **outside** the brackets. + - ^^You cannot create a foreign key link unless the attribute that it is referencing exists.^^ + - ### Using `ALTER` to Modify Design + - **Remember:** You cannot create a foreign key link *unless* the attribute it's referencing already exists. + - If you want to create everything but the foreign keys initially, you can add a foreign key later using the `ALTER TABLE` command + - + - #### Syntax for `ALTER` Command + - To add a constraint: + - ```SQL + ALTER TABLE tablename + ADD CONSTRAINT constraintname FOREIGN KEY (attributename) REFERENCES tablename(attribute name); + ``` + - To add an attribute (column) constraint: + - ```SQL + ALTER TABLE tablename + ADD attributename DATATYPE; + ``` + - ### Domain Constraints + id:: 6321ba81-0b92-447e-9c6f-1953528d51a8 + - What is the **Domain Constraint**? #card + card-last-interval:: 4.28 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T16:20:44.796Z + card-last-reviewed:: 2022-10-07T10:20:44.796Z + card-last-score:: 5 + - The value of each attribute A must be an **atomic** value from the **domain** dom(A). + - Essentially: ^^the data types & formats must match to that specified.^^ + - ### Entity Integrity Constraints (Primary Key Constraints) + id:: 6321bafc-6bfc-42da-96a9-f05bcfdff9ba + - What is the **Primary Key / Entity Integrity Constraint**? #card + card-last-interval:: 13.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-13T16:14:37.382Z + card-last-reviewed:: 2022-09-30T12:14:37.382Z + card-last-score:: 5 + - The **primary key** should uniquely identify each tuple in a relation. + - This means: + - No duplicate values allowed for the primary key + - No `NULL`values allowed for the primary key + - **Note:** `NULL` values may possibly also not be permitted for other attributes. + - We often see this constraint when filling out forms online ("*required") and the constraint is often necessary for non-key attributes. + - However, we should be careful to only add `NOT NULL` constraints in the databases when they are really necessary. + - + - ### Referential Integrity Constraints + - What are **Referential Integrity Constraints**? #card + card-last-score:: 5 + card-repeats:: 4 + card-next-schedule:: 2022-10-28T18:17:48.915Z + card-last-interval:: 24.27 + card-ease-factor:: 2.56 + card-last-reviewed:: 2022-10-04T12:17:48.915Z + - **Referential Integrity Constraints** are specified between two relations and require the concept of a **foreign key**. The constraint ensures that ^^the database must **not** contain any unmatched foreign keys.^^ + - Therefore, a relationship involving foreign keys **must** be between attributes of the ^^same type & size.^^ + - In addition, a value for a foreign key attribute **must** exist already as a candidate key value. + - Essentially: "no unmatched foreign keys". + - + - ### Semantic Integrity Constraints + - What are **Semantic Integrity Constraints**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-31T23:44:09.198Z + card-last-reviewed:: 2022-10-10T11:44:09.198Z + card-last-score:: 5 + - **Semantic Integrity Constraints** ensure that the data entered into a row reflects an allowable value for that row. The value must be within the *domain*, or allowable set of values, for that column. + - How are **Semantic Integrity Constraints** specified? #card + card-last-interval:: 2.09 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-12T13:39:40.453Z + card-last-reviewed:: 2022-10-10T11:39:40.453Z + card-last-score:: 5 + - **Semantic Integrity Constraints** are specified & enforced using a *constraint specification language*. + - What are the two types of **Semantic Integrity Constraints**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T15:15:01.657Z + card-last-reviewed:: 2022-10-08T15:15:01.658Z + card-last-score:: 3 + - **State Constraints:** Constrain an entity to being in certain states. + - **Transition Constraints:** Constrain an entity to only being updated in certain ways. + - ## Setting Constraints + - **Domain Constraints** are set automatically once the data type is chosen. + - **Entity Constraints** are also set automatically once a primary key has been chosen. + - Usually default constraints are set for foreign keys, but these can be changed. + - + - ## Update Operations & Constraint Violations + - The DBMS must check that the constraints are not violated whenever **update operations** are applied. + - + - ### Insert Operation + - What does the **Insert Operation** do? #card + card-last-interval:: 13.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-13T16:15:27.475Z + card-last-reviewed:: 2022-09-30T12:15:27.476Z + card-last-score:: 5 + - The **Insert Operation** provides a list of attribute values for a new tuple $t$ that is to be inserted into a relation $R$. + - This can happen directly via the interface or via the query. + - If a constraint is violated, the DBMS will reject the insertion - usually with an explanation. + - ### Delete Operation + - How can a **Delete Operation** violate constraints? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:39:11.689Z + card-last-reviewed:: 2022-10-07T10:39:11.689Z + card-last-score:: 5 + - A **delete operation** can only violate **integrity constraints**, i.e., if the tuple being deleted is referenced by the foreign key from other tuples. + - The DBMS can: + - reject deletion, without explanation. + - attempt to *cascade* deletion. + - modify referencing attribute. + - #### Update Operation + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-07T10:32:05.858Z + - What is an **Update** Operation? #card + card-last-interval:: 0.75 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-11T05:41:10.864Z + card-last-reviewed:: 2022-10-10T11:41:10.864Z + card-last-score:: 3 + - An **update** operation is used to change the values of one or more attributes in a tuple of a table. + - Issues already discussed with insert & delete could arise with this operation, specifically: + - If a primary key is modified, that's essentially the same as deleting one tuple and inserting another tuple in its place. + - If a foreign key is modified, the DBMS must ensure that the new value refers to an existing tuple in the reference relation. + - ### Cascade Update & Delete + - Whenever tuples in the **referenced** (master) table are deleted or updated, the respective tuples of the **referencing** (child) table with a matching foreign key column will be deleted or updated as well. + - Note that if cascading `DELETE` is turned on, there could be many deletions performed with a single query such as: + - ```sql + DELETE FROM employee + WHERE ssn = 12345678; + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-11-11T12_04_45.347Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-11-11T12_04_45.347Z.Desktop.md new file mode 100644 index 00000000..018bc796 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-11-11T12_04_45.347Z.Desktop.md @@ -0,0 +1,364 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[The Relational Model]] +- **Next Topic:** null +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663148803122_0.pdf) +- +- # SQL + - What is **SQL**? #card + card-last-interval:: 15.72 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-19T04:41:54.766Z + card-last-reviewed:: 2022-10-03T11:41:54.767Z + card-last-score:: 5 + - **Structured Query Language (SQL)** is a special-purpose **programming language** for relational database systems. + - ### Features of SQL + - SQL is based on *relational algebra*. + - All relational, set, and hybrid operators are supported. + - SQL also has additional operators to allow easier query development. + - SQL has been *standardised* since 1987. + - The American National Standards Institute (ANSI) and International Organization for Standardization (ISO) form SQL standard committees. Many vendors also take part. + - Recent standards include XML-related features in addition to many others, including JSON data types. + - ### ANSI/ISO SQL + - Despite standards, there can be a lack of portability between database systems due to: + - Complexity & size of standards (not all vendors will implement all of the standard). + - The vendor may want to keep the syntax consistent with their other software products / OS or develop features to support their user base. + - The vendor may want to maintain backward compatibility. + - The vendor may want to maintain "Vendor lock-in". + - What is the **standardised SQL syntax** comprised of? #card + card-last-interval:: 3.71 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T03:32:46.591Z + card-last-reviewed:: 2022-10-07T10:32:46.591Z + card-last-score:: 3 + - The **standardised SQL syntax** comprises 3 components: + - **DDL -** Data Definition Language + - **DCL -** Data Control Language + - **DML -** Data Manipulation Language + - ### DCL: Data Control Language + - What is **DCL** used for? #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-03T12:29:26.988Z + card-last-reviewed:: 2022-10-20T08:29:26.989Z + card-last-score:: 5 + - **Data Control Language** is used to control access to the database & to database relations. + - It is the role of the **database administrator**. + - Very important in multi-user systems. + - What are the typical **DCL** commands? #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-27T18:44:02.090Z + card-last-reviewed:: 2022-10-10T11:44:02.091Z + card-last-score:: 3 + - ```sql + GRANT + REVOKE + ``` + - These can be used to: + - grant / revoke access to the database. + - grant / revoke access to individual relations. + - + - ### DDL: Data Definition Language + - What is **DDL**? #card + card-last-interval:: 27.13 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-06T14:42:59.239Z + card-last-reviewed:: 2022-10-10T11:42:59.239Z + card-last-score:: 5 + - **Data Definition Language** is a standardised language to ^^define the schema of a database.^^ + - It's the back-end of "design" options on the Interface (e.g., Create options). + - What are the typical **DDL** commands? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:33:30.852Z + card-last-reviewed:: 2022-10-07T10:33:30.852Z + card-last-score:: 3 + - The typical DDL tasks include creating, altering, and removing **database objects** such as tables & indexes. + - Common DDL keywords include: + - ```sql + CREATE + ALTER + DROP + ADD + CONSTRAINT + ``` + - #### Create a table, its indexes, & constraints + - Steps: + - 1. Specify **table** (relation) name. + 2. For each attribute in the table, specify **Attribute Name**, **Data Type**, and any **constraints**. + 3. Specify the **Primary Key** of the table: choose one or more attributes. + 4. Specify **Foreign Keys** *if they exist* and assuming that the attributes & table you are referencing exist (you may have to return to this step). + - Steps 1-3 ^^must be completed for all tables.^^ + - #### Data Types + - The main data types are **strings**, **numeric**, and **date/time**. + - + - **Strings** + - What can **strings** contain? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:26:33.849Z + card-last-reviewed:: 2022-09-30T08:26:33.849Z + card-last-score:: 5 + - **Strings** can contain ^^letters, numbers, & special characters.^^ + - Types of string: #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:19:22.819Z + card-last-reviewed:: 2022-10-07T10:19:22.820Z + card-last-score:: 5 + - `CHAR(size)` is a string of **fixed length**. `size` can be from 0 to 255 - the default is 1. + - `VARCHAR(size)` is a string of **variable length**. `size` can be from 0 to 65,535. + - if `size` is not specified, it is unlimited + - `TEXT` is the same thing as `VARCHAR` except it is unlimited by default, and takes no argument `size`. + - + - **Date/Time** + - Types of date/time: #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-10-27T22:08:23.636Z + card-last-reviewed:: 2022-10-04T12:08:23.637Z + card-last-score:: 3 + - `DATE` Format: YYYY-MM_DD + - `TIME` Format: hh:mm:ss + - `DATETIME` Format: YYYY-MM-DD hh:mm:ss + - `YEAR` A year in four-digit format + - + - **Numeric** + - The maximum `size` value is 255. + - MySQL supports **unsigned** numeric types but not all DBMS do. + - Types of numerics: #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-13T18:17:13.863Z + card-last-reviewed:: 2022-10-04T12:17:13.863Z + card-last-score:: 3 + - `INTEGERS` - *See next block*. + - `BOOL / BOOLEAN` - 0 is False; non-zero is True. + - `FLOAT` - A floating-point number. 4 bytes, single precision. + - `DOUBLE` - A floating-point number. 8 bytes, double precision. + - `DECIMAL(size, d) / DEC(size,d)` - An exact, fixed-point number. + - `size` = total number of digits (max 65, default 10) + - `d` = number of digits after the decimal point (max 30, default 0) + - + - **Integers** + - Types of integers: + - | **Type** | **Bytes** | **Range** | + | `TINYINT` | 1 | -128 to 127 | + | `SMALLINT` | 2 | -32,768 to 32,767 | + | `MEDIUMINT` | 3 | -8,388,608 to 8,388,607 | + | `INT` | 4| -2,147,483,648 to 2,147,483,647 | + | `BIGINT` | 8 | -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807 | + - ^^Note:^^ the number in brackets next to integers only refers to the number of digits to display, not size. + - + - **Others** + - Unicode char/string + - Binary + - Blob, Json, etc. + - ### DML: Data Manipulation Language + - What is **DML**? #card + card-last-interval:: 9.68 + card-repeats:: 3 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-10-19T00:50:25.340Z + card-last-reviewed:: 2022-10-09T08:50:25.341Z + card-last-score:: 5 + - **Data Manipulation Language** is a standardised language used for ^^adding, deleting, & modifying data in a database.^^ + - What are the typical **DML** commands? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:42:42.165Z + card-last-reviewed:: 2022-10-03T11:42:42.165Z + card-last-score:: 3 + - ```sql + INSERT -- insert data + SELECT -- query (select) data + UPDATE -- update data + DELETE -- delete data + ``` +- +- # Autonumber + - What does `AUTO_INCREMENT` do in MySQL? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:39:18.480Z + card-last-reviewed:: 2022-10-07T10:39:18.480Z + card-last-score:: 5 + - Specifying an attribute to `AUTO_INCREMENT` tells the DBMS to ^^generate a number automatically when a new tuple is inserted into a table.^^ + - Often, this is used for an "artificial" **primary key** value which is needed to ensure that we have a primary key, but has no meaning for the data being stored. + - Using `AUTO_INCREMENT` means that the DBMS takes care of inserting a unique value automatically every time a new tuple is inserted. + - By default, `AUTO_INCREMENT` is **1**, and is incremented by 1 for each new tuple inserted. +- +- # Constraints + - ## Types of Constraints + - ### Foreign Keys + - What is the syntax for specifying **Foreign Keys**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-31T23:43:12.658Z + card-last-reviewed:: 2022-10-10T11:43:12.658Z + card-last-score:: 3 + - ```sql + FOREIGN KEY (attributename) REFERENCES tablename(attributename) + ``` + - You need to specify: + - The keyword `FOREIGN KEY` to indicate that it is a foreign key constraint. + - The attribute name(s) that will identify the foreign keys in the current table. + - If there is more than one attribute, they should be separated by commas. + - Attribute names should be enclosed in brackets. + - The keyword `REFERENCES` to specify the attribute that the foreign key references. + - The table name and the attribute name of the attribute being referenced by the foreign key. + - Again, the attribute name(s)should be in brackets. + - The table name should be **outside** the brackets. + - ^^You cannot create a foreign key link unless the attribute that it is referencing exists.^^ + - ### Using `ALTER` to Modify Design + - **Remember:** You cannot create a foreign key link *unless* the attribute it's referencing already exists. + - If you want to create everything but the foreign keys initially, you can add a foreign key later using the `ALTER TABLE` command + - + - #### Syntax for `ALTER` Command + - To add a constraint: + - ```SQL + ALTER TABLE tablename + ADD CONSTRAINT constraintname FOREIGN KEY (attributename) REFERENCES tablename(attribute name); + ``` + - To add an attribute (column) constraint: + - ```SQL + ALTER TABLE tablename + ADD attributename DATATYPE; + ``` + - ### Domain Constraints + id:: 6321ba81-0b92-447e-9c6f-1953528d51a8 + - What is the **Domain Constraint**? #card + card-last-interval:: 4.28 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T16:20:44.796Z + card-last-reviewed:: 2022-10-07T10:20:44.796Z + card-last-score:: 5 + - The value of each attribute A must be an **atomic** value from the **domain** dom(A). + - Essentially: ^^the data types & formats must match to that specified.^^ + - ### Entity Integrity Constraints (Primary Key Constraints) + id:: 6321bafc-6bfc-42da-96a9-f05bcfdff9ba + - What is the **Primary Key / Entity Integrity Constraint**? #card + card-last-interval:: 13.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-13T16:14:37.382Z + card-last-reviewed:: 2022-09-30T12:14:37.382Z + card-last-score:: 5 + - The **primary key** should uniquely identify each tuple in a relation. + - This means: + - No duplicate values allowed for the primary key + - No `NULL`values allowed for the primary key + - **Note:** `NULL` values may possibly also not be permitted for other attributes. + - We often see this constraint when filling out forms online ("*required") and the constraint is often necessary for non-key attributes. + - However, we should be careful to only add `NOT NULL` constraints in the databases when they are really necessary. + - + - ### Referential Integrity Constraints + - What are **Referential Integrity Constraints**? #card + card-last-score:: 5 + card-repeats:: 4 + card-next-schedule:: 2022-10-28T18:17:48.915Z + card-last-interval:: 24.27 + card-ease-factor:: 2.56 + card-last-reviewed:: 2022-10-04T12:17:48.915Z + - **Referential Integrity Constraints** are specified between two relations and require the concept of a **foreign key**. The constraint ensures that ^^the database must **not** contain any unmatched foreign keys.^^ + - Therefore, a relationship involving foreign keys **must** be between attributes of the ^^same type & size.^^ + - In addition, a value for a foreign key attribute **must** exist already as a candidate key value. + - Essentially: "no unmatched foreign keys". + - + - ### Semantic Integrity Constraints + - What are **Semantic Integrity Constraints**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-31T23:44:09.198Z + card-last-reviewed:: 2022-10-10T11:44:09.198Z + card-last-score:: 5 + - **Semantic Integrity Constraints** ensure that the data entered into a row reflects an allowable value for that row. The value must be within the *domain*, or allowable set of values, for that column. + - How are **Semantic Integrity Constraints** specified? #card + card-last-interval:: 2.09 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-12T13:39:40.453Z + card-last-reviewed:: 2022-10-10T11:39:40.453Z + card-last-score:: 5 + - **Semantic Integrity Constraints** are specified & enforced using a *constraint specification language*. + - What are the two types of **Semantic Integrity Constraints**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T15:15:01.657Z + card-last-reviewed:: 2022-10-08T15:15:01.658Z + card-last-score:: 3 + - **State Constraints:** Constrain an entity to being in certain states. + - **Transition Constraints:** Constrain an entity to only being updated in certain ways. + - ## Setting Constraints + - **Domain Constraints** are set automatically once the data type is chosen. + - **Entity Constraints** are also set automatically once a primary key has been chosen. + - Usually default constraints are set for foreign keys, but these can be changed. + - + - ## Update Operations & Constraint Violations + - The DBMS must check that the constraints are not violated whenever **update operations** are applied. + - + - ### Insert Operation + - What does the **Insert Operation** do? #card + card-last-interval:: 13.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-13T16:15:27.475Z + card-last-reviewed:: 2022-09-30T12:15:27.476Z + card-last-score:: 5 + - The **Insert Operation** provides a list of attribute values for a new tuple $t$ that is to be inserted into a relation $R$. + - This can happen directly via the interface or via the query. + - If a constraint is violated, the DBMS will reject the insertion - usually with an explanation. + - ### Delete Operation + - How can a **Delete Operation** violate constraints? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:39:11.689Z + card-last-reviewed:: 2022-10-07T10:39:11.689Z + card-last-score:: 5 + - A **delete operation** can only violate **integrity constraints**, i.e., if the tuple being deleted is referenced by the foreign key from other tuples. + - The DBMS can: + - reject deletion, without explanation. + - attempt to *cascade* deletion. + - modify referencing attribute. + - #### Update Operation + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-07T10:32:05.858Z + - What is an **Update** Operation? #card + card-last-interval:: 0.75 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-11T05:41:10.864Z + card-last-reviewed:: 2022-10-10T11:41:10.864Z + card-last-score:: 3 + - An **update** operation is used to change the values of one or more attributes in a tuple of a table. + - Issues already discussed with insert & delete could arise with this operation, specifically: + - If a primary key is modified, that's essentially the same as deleting one tuple and inserting another tuple in its place. + - If a foreign key is modified, the DBMS must ensure that the new value refers to an existing tuple in the reference relation. + - ### Cascade Update & Delete + - Whenever tuples in the **referenced** (master) table are deleted or updated, the respective tuples of the **referencing** (child) table with a matching foreign key column will be deleted or updated as well. + - Note that if cascading `DELETE` is turned on, there could be many deletions performed with a single query such as: + - ```sql + DELETE FROM employee + WHERE ssn = 12345678; + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-12-02T20_17_40.324Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-12-02T20_17_40.324Z.Desktop.md new file mode 100644 index 00000000..3e5af493 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-12-02T20_17_40.324Z.Desktop.md @@ -0,0 +1,364 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[The Relational Model]] +- **Next Topic:** null +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663148803122_0.pdf) +- +- # SQL + - What is **SQL**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-18T17:47:35.469Z + card-last-reviewed:: 2022-11-17T09:47:35.470Z + card-last-score:: 5 + - **Structured Query Language (SQL)** is a special-purpose **programming language** for relational database systems. + - ### Features of SQL + - SQL is based on *relational algebra*. + - All relational, set, and hybrid operators are supported. + - SQL also has additional operators to allow easier query development. + - SQL has been *standardised* since 1987. + - The American National Standards Institute (ANSI) and International Organization for Standardization (ISO) form SQL standard committees. Many vendors also take part. + - Recent standards include XML-related features in addition to many others, including JSON data types. + - ### ANSI/ISO SQL + - Despite standards, there can be a lack of portability between database systems due to: + - Complexity & size of standards (not all vendors will implement all of the standard). + - The vendor may want to keep the syntax consistent with their other software products / OS or develop features to support their user base. + - The vendor may want to maintain backward compatibility. + - The vendor may want to maintain "Vendor lock-in". + - What is the **standardised SQL syntax** comprised of? #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-25T06:29:02.836Z + card-last-reviewed:: 2022-11-14T16:29:02.836Z + card-last-score:: 5 + - The **standardised SQL syntax** comprises 3 components: + - **DDL -** Data Definition Language + - **DCL -** Data Control Language + - **DML -** Data Manipulation Language + - ### DCL: Data Control Language + - What is **DCL** used for? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:21:50.434Z + card-last-reviewed:: 2022-11-14T20:21:50.434Z + card-last-score:: 5 + - **Data Control Language** is used to control access to the database & to database relations. + - It is the role of the **database administrator**. + - Very important in multi-user systems. + - What are the typical **DCL** commands? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-26T06:18:39.799Z + card-last-reviewed:: 2022-11-14T20:18:39.800Z + card-last-score:: 5 + - ```sql + GRANT + REVOKE + ``` + - These can be used to: + - grant / revoke access to the database. + - grant / revoke access to individual relations. + - + - ### DDL: Data Definition Language + - What is **DDL**? #card + card-last-interval:: 86.42 + card-repeats:: 5 + card-ease-factor:: 2.66 + card-next-schedule:: 2023-02-09T06:22:06.927Z + card-last-reviewed:: 2022-11-14T20:22:06.927Z + card-last-score:: 5 + - **Data Definition Language** is a standardised language to ^^define the schema of a database.^^ + - It's the back-end of "design" options on the Interface (e.g., Create options). + - What are the typical **DDL** commands? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:36:00.957Z + card-last-score:: 1 + - The typical DDL tasks include creating, altering, and removing **database objects** such as tables & indexes. + - Common DDL keywords include: + - ```sql + CREATE + ALTER + DROP + ADD + CONSTRAINT + ``` + - #### Create a table, its indexes, & constraints + - Steps: + - 1. Specify **table** (relation) name. + 2. For each attribute in the table, specify **Attribute Name**, **Data Type**, and any **constraints**. + 3. Specify the **Primary Key** of the table: choose one or more attributes. + 4. Specify **Foreign Keys** *if they exist* and assuming that the attributes & table you are referencing exist (you may have to return to this step). + - Steps 1-3 ^^must be completed for all tables.^^ + - #### Data Types + - The main data types are **strings**, **numeric**, and **date/time**. + - + - **Strings** + - What can **strings** contain? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:37:34.017Z + card-last-reviewed:: 2022-11-14T16:37:34.018Z + card-last-score:: 5 + - **Strings** can contain ^^letters, numbers, & special characters.^^ + - Types of string: #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T06:03:14.822Z + card-last-reviewed:: 2022-11-14T20:03:14.822Z + card-last-score:: 3 + - `CHAR(size)` is a string of **fixed length**. `size` can be from 0 to 255 - the default is 1. + - `VARCHAR(size)` is a string of **variable length**. `size` can be from 0 to 65,535. + - if `size` is not specified, it is unlimited + - `TEXT` is the same thing as `VARCHAR` except it is unlimited by default, and takes no argument `size`. + - + - **Date/Time** + - Types of date/time: #card + card-last-interval:: 47.41 + card-repeats:: 5 + card-ease-factor:: 2.28 + card-next-schedule:: 2023-01-01T05:18:44.919Z + card-last-reviewed:: 2022-11-14T20:18:44.919Z + card-last-score:: 3 + - `DATE` Format: YYYY-MM_DD + - `TIME` Format: hh:mm:ss + - `DATETIME` Format: YYYY-MM-DD hh:mm:ss + - `YEAR` A year in four-digit format + - + - **Numeric** + - The maximum `size` value is 255. + - MySQL supports **unsigned** numeric types but not all DBMS do. + - Types of numerics: #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T16:48:07.382Z + card-last-reviewed:: 2022-11-14T16:48:07.383Z + card-last-score:: 3 + - `INTEGERS` - *See next block*. + - `BOOL / BOOLEAN` - 0 is False; non-zero is True. + - `FLOAT` - A floating-point number. 4 bytes, single precision. + - `DOUBLE` - A floating-point number. 8 bytes, double precision. + - `DECIMAL(size, d) / DEC(size,d)` - An exact, fixed-point number. + - `size` = total number of digits (max 65, default 10) + - `d` = number of digits after the decimal point (max 30, default 0) + - + - **Integers** + - Types of integers: + - | **Type** | **Bytes** | **Range** | + | `TINYINT` | 1 | -128 to 127 | + | `SMALLINT` | 2 | -32,768 to 32,767 | + | `MEDIUMINT` | 3 | -8,388,608 to 8,388,607 | + | `INT` | 4| -2,147,483,648 to 2,147,483,647 | + | `BIGINT` | 8 | -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807 | + - ^^Note:^^ the number in brackets next to integers only refers to the number of digits to display, not size. + - + - **Others** + - Unicode char/string + - Binary + - Blob, Json, etc. + - ### DML: Data Manipulation Language + - What is **DML**? #card + card-last-interval:: 25.4 + card-repeats:: 4 + card-ease-factor:: 2.52 + card-next-schedule:: 2022-12-12T18:47:31.780Z + card-last-reviewed:: 2022-11-17T09:47:31.780Z + card-last-score:: 5 + - **Data Manipulation Language** is a standardised language used for ^^adding, deleting, & modifying data in a database.^^ + - What are the typical **DML** commands? #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-29T17:40:29.100Z + card-last-reviewed:: 2022-11-14T16:40:29.100Z + card-last-score:: 3 + - ```sql + INSERT -- insert data + SELECT -- query (select) data + UPDATE -- update data + DELETE -- delete data + ``` +- +- # Autonumber + - What does `AUTO_INCREMENT` do in MySQL? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T03:03:50.803Z + card-last-reviewed:: 2022-11-14T20:03:50.803Z + card-last-score:: 5 + - Specifying an attribute to `AUTO_INCREMENT` tells the DBMS to ^^generate a number automatically when a new tuple is inserted into a table.^^ + - Often, this is used for an "artificial" **primary key** value which is needed to ensure that we have a primary key, but has no meaning for the data being stored. + - Using `AUTO_INCREMENT` means that the DBMS takes care of inserting a unique value automatically every time a new tuple is inserted. + - By default, `AUTO_INCREMENT` is **1**, and is incremented by 1 for each new tuple inserted. +- +- # Constraints + - ## Types of Constraints + - ### Foreign Keys + - What is the syntax for specifying **Foreign Keys**? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-26T06:21:18.467Z + card-last-reviewed:: 2022-11-14T20:21:18.468Z + card-last-score:: 3 + - ```sql + FOREIGN KEY (attributename) REFERENCES tablename(attributename) + ``` + - You need to specify: + - The keyword `FOREIGN KEY` to indicate that it is a foreign key constraint. + - The attribute name(s) that will identify the foreign keys in the current table. + - If there is more than one attribute, they should be separated by commas. + - Attribute names should be enclosed in brackets. + - The keyword `REFERENCES` to specify the attribute that the foreign key references. + - The table name and the attribute name of the attribute being referenced by the foreign key. + - Again, the attribute name(s)should be in brackets. + - The table name should be **outside** the brackets. + - ^^You cannot create a foreign key link unless the attribute that it is referencing exists.^^ + - ### Using `ALTER` to Modify Design + - **Remember:** You cannot create a foreign key link *unless* the attribute it's referencing already exists. + - If you want to create everything but the foreign keys initially, you can add a foreign key later using the `ALTER TABLE` command + - + - #### Syntax for `ALTER` Command + - To add a constraint: + - ```SQL + ALTER TABLE tablename + ADD CONSTRAINT constraintname FOREIGN KEY (attributename) REFERENCES tablename(attribute name); + ``` + - To add an attribute (column) constraint: + - ```SQL + ALTER TABLE tablename + ADD attributename DATATYPE; + ``` + - ### Domain Constraints + id:: 6321ba81-0b92-447e-9c6f-1953528d51a8 + - What is the **Domain Constraint**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:38:56.391Z + card-last-score:: 1 + - The value of each attribute A must be an **atomic** value from the **domain** dom(A). + - Essentially: ^^the data types & formats must match to that specified.^^ + - ### Entity Integrity Constraints (Primary Key Constraints) + id:: 6321bafc-6bfc-42da-96a9-f05bcfdff9ba + - What is the **Primary Key / Entity Integrity Constraint**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T00:47:09.544Z + card-last-reviewed:: 2022-11-14T16:47:09.544Z + card-last-score:: 5 + - The **primary key** should uniquely identify each tuple in a relation. + - This means: + - No duplicate values allowed for the primary key + - No `NULL`values allowed for the primary key + - **Note:** `NULL` values may possibly also not be permitted for other attributes. + - We often see this constraint when filling out forms online ("*required") and the constraint is often necessary for non-key attributes. + - However, we should be careful to only add `NOT NULL` constraints in the databases when they are really necessary. + - + - ### Referential Integrity Constraints + - What are **Referential Integrity Constraints**? #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.56 + card-last-reviewed:: 2022-11-14T20:19:00.925Z + - **Referential Integrity Constraints** are specified between two relations and require the concept of a **foreign key**. The constraint ensures that ^^the database must **not** contain any unmatched foreign keys.^^ + - Therefore, a relationship involving foreign keys **must** be between attributes of the ^^same type & size.^^ + - In addition, a value for a foreign key attribute **must** exist already as a candidate key value. + - Essentially: "no unmatched foreign keys". + - + - ### Semantic Integrity Constraints + - What are **Semantic Integrity Constraints**? #card + card-last-interval:: 56.69 + card-repeats:: 5 + card-ease-factor:: 2.42 + card-next-schedule:: 2023-01-07T03:37:12.551Z + card-last-reviewed:: 2022-11-11T11:37:12.551Z + card-last-score:: 5 + - **Semantic Integrity Constraints** ensure that the data entered into a row reflects an allowable value for that row. The value must be within the *domain*, or allowable set of values, for that column. + - How are **Semantic Integrity Constraints** specified? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:42:45.174Z + card-last-score:: 1 + - **Semantic Integrity Constraints** are specified & enforced using a *constraint specification language*. + - What are the two types of **Semantic Integrity Constraints**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-11-25T13:05:15.346Z + card-last-reviewed:: 2022-11-21T13:05:15.347Z + card-last-score:: 3 + - **State Constraints:** Constrain an entity to being in certain states. + - **Transition Constraints:** Constrain an entity to only being updated in certain ways. + - ## Setting Constraints + - **Domain Constraints** are set automatically once the data type is chosen. + - **Entity Constraints** are also set automatically once a primary key has been chosen. + - Usually default constraints are set for foreign keys, but these can be changed. + - + - ## Update Operations & Constraint Violations + - The DBMS must check that the constraints are not violated whenever **update operations** are applied. + - + - ### Insert Operation + - What does the **Insert Operation** do? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T00:47:14.600Z + card-last-reviewed:: 2022-11-14T16:47:14.600Z + card-last-score:: 5 + - The **Insert Operation** provides a list of attribute values for a new tuple $t$ that is to be inserted into a relation $R$. + - This can happen directly via the interface or via the query. + - If a constraint is violated, the DBMS will reject the insertion - usually with an explanation. + - ### Delete Operation + - How can a **Delete Operation** violate constraints? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T03:03:33.858Z + card-last-reviewed:: 2022-11-14T20:03:33.859Z + card-last-score:: 5 + - A **delete operation** can only violate **integrity constraints**, i.e., if the tuple being deleted is referenced by the foreign key from other tuples. + - The DBMS can: + - reject deletion, usually within an explanation. + - attempt to *cascade* deletion. + - modify referencing attribute. + - #### Update Operation + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-07T10:32:05.858Z + - What is an **Update** Operation? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-20T08:30:42.712Z + card-last-reviewed:: 2022-11-11T11:30:42.713Z + card-last-score:: 3 + - An **update** operation is used to change the values of one or more attributes in a tuple of a table. + - Issues already discussed with insert & delete could arise with this operation, specifically: + - If a primary key is modified, that's essentially the same as deleting one tuple and inserting another tuple in its place. + - If a foreign key is modified, the DBMS must ensure that the new value refers to an existing tuple in the reference relation. + - ### Cascade Update & Delete + - Whenever tuples in the **referenced** (master) table are deleted or updated, the respective tuples of the **referencing** (child) table with a matching foreign key column will be deleted or updated as well. + - Note that if cascading `DELETE` is turned on, there could be many deletions performed with a single query such as: + - ```sql + DELETE FROM employee + WHERE ssn = 12345678; + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-12-03T15_59_39.790Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-12-03T15_59_39.790Z.Desktop.md new file mode 100644 index 00000000..3e5af493 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Introduction to SQL & DDL/2022-12-03T15_59_39.790Z.Desktop.md @@ -0,0 +1,364 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[The Relational Model]] +- **Next Topic:** null +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663148803122_0.pdf) +- +- # SQL + - What is **SQL**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-18T17:47:35.469Z + card-last-reviewed:: 2022-11-17T09:47:35.470Z + card-last-score:: 5 + - **Structured Query Language (SQL)** is a special-purpose **programming language** for relational database systems. + - ### Features of SQL + - SQL is based on *relational algebra*. + - All relational, set, and hybrid operators are supported. + - SQL also has additional operators to allow easier query development. + - SQL has been *standardised* since 1987. + - The American National Standards Institute (ANSI) and International Organization for Standardization (ISO) form SQL standard committees. Many vendors also take part. + - Recent standards include XML-related features in addition to many others, including JSON data types. + - ### ANSI/ISO SQL + - Despite standards, there can be a lack of portability between database systems due to: + - Complexity & size of standards (not all vendors will implement all of the standard). + - The vendor may want to keep the syntax consistent with their other software products / OS or develop features to support their user base. + - The vendor may want to maintain backward compatibility. + - The vendor may want to maintain "Vendor lock-in". + - What is the **standardised SQL syntax** comprised of? #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-25T06:29:02.836Z + card-last-reviewed:: 2022-11-14T16:29:02.836Z + card-last-score:: 5 + - The **standardised SQL syntax** comprises 3 components: + - **DDL -** Data Definition Language + - **DCL -** Data Control Language + - **DML -** Data Manipulation Language + - ### DCL: Data Control Language + - What is **DCL** used for? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:21:50.434Z + card-last-reviewed:: 2022-11-14T20:21:50.434Z + card-last-score:: 5 + - **Data Control Language** is used to control access to the database & to database relations. + - It is the role of the **database administrator**. + - Very important in multi-user systems. + - What are the typical **DCL** commands? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-26T06:18:39.799Z + card-last-reviewed:: 2022-11-14T20:18:39.800Z + card-last-score:: 5 + - ```sql + GRANT + REVOKE + ``` + - These can be used to: + - grant / revoke access to the database. + - grant / revoke access to individual relations. + - + - ### DDL: Data Definition Language + - What is **DDL**? #card + card-last-interval:: 86.42 + card-repeats:: 5 + card-ease-factor:: 2.66 + card-next-schedule:: 2023-02-09T06:22:06.927Z + card-last-reviewed:: 2022-11-14T20:22:06.927Z + card-last-score:: 5 + - **Data Definition Language** is a standardised language to ^^define the schema of a database.^^ + - It's the back-end of "design" options on the Interface (e.g., Create options). + - What are the typical **DDL** commands? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:36:00.957Z + card-last-score:: 1 + - The typical DDL tasks include creating, altering, and removing **database objects** such as tables & indexes. + - Common DDL keywords include: + - ```sql + CREATE + ALTER + DROP + ADD + CONSTRAINT + ``` + - #### Create a table, its indexes, & constraints + - Steps: + - 1. Specify **table** (relation) name. + 2. For each attribute in the table, specify **Attribute Name**, **Data Type**, and any **constraints**. + 3. Specify the **Primary Key** of the table: choose one or more attributes. + 4. Specify **Foreign Keys** *if they exist* and assuming that the attributes & table you are referencing exist (you may have to return to this step). + - Steps 1-3 ^^must be completed for all tables.^^ + - #### Data Types + - The main data types are **strings**, **numeric**, and **date/time**. + - + - **Strings** + - What can **strings** contain? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:37:34.017Z + card-last-reviewed:: 2022-11-14T16:37:34.018Z + card-last-score:: 5 + - **Strings** can contain ^^letters, numbers, & special characters.^^ + - Types of string: #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T06:03:14.822Z + card-last-reviewed:: 2022-11-14T20:03:14.822Z + card-last-score:: 3 + - `CHAR(size)` is a string of **fixed length**. `size` can be from 0 to 255 - the default is 1. + - `VARCHAR(size)` is a string of **variable length**. `size` can be from 0 to 65,535. + - if `size` is not specified, it is unlimited + - `TEXT` is the same thing as `VARCHAR` except it is unlimited by default, and takes no argument `size`. + - + - **Date/Time** + - Types of date/time: #card + card-last-interval:: 47.41 + card-repeats:: 5 + card-ease-factor:: 2.28 + card-next-schedule:: 2023-01-01T05:18:44.919Z + card-last-reviewed:: 2022-11-14T20:18:44.919Z + card-last-score:: 3 + - `DATE` Format: YYYY-MM_DD + - `TIME` Format: hh:mm:ss + - `DATETIME` Format: YYYY-MM-DD hh:mm:ss + - `YEAR` A year in four-digit format + - + - **Numeric** + - The maximum `size` value is 255. + - MySQL supports **unsigned** numeric types but not all DBMS do. + - Types of numerics: #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T16:48:07.382Z + card-last-reviewed:: 2022-11-14T16:48:07.383Z + card-last-score:: 3 + - `INTEGERS` - *See next block*. + - `BOOL / BOOLEAN` - 0 is False; non-zero is True. + - `FLOAT` - A floating-point number. 4 bytes, single precision. + - `DOUBLE` - A floating-point number. 8 bytes, double precision. + - `DECIMAL(size, d) / DEC(size,d)` - An exact, fixed-point number. + - `size` = total number of digits (max 65, default 10) + - `d` = number of digits after the decimal point (max 30, default 0) + - + - **Integers** + - Types of integers: + - | **Type** | **Bytes** | **Range** | + | `TINYINT` | 1 | -128 to 127 | + | `SMALLINT` | 2 | -32,768 to 32,767 | + | `MEDIUMINT` | 3 | -8,388,608 to 8,388,607 | + | `INT` | 4| -2,147,483,648 to 2,147,483,647 | + | `BIGINT` | 8 | -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807 | + - ^^Note:^^ the number in brackets next to integers only refers to the number of digits to display, not size. + - + - **Others** + - Unicode char/string + - Binary + - Blob, Json, etc. + - ### DML: Data Manipulation Language + - What is **DML**? #card + card-last-interval:: 25.4 + card-repeats:: 4 + card-ease-factor:: 2.52 + card-next-schedule:: 2022-12-12T18:47:31.780Z + card-last-reviewed:: 2022-11-17T09:47:31.780Z + card-last-score:: 5 + - **Data Manipulation Language** is a standardised language used for ^^adding, deleting, & modifying data in a database.^^ + - What are the typical **DML** commands? #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-29T17:40:29.100Z + card-last-reviewed:: 2022-11-14T16:40:29.100Z + card-last-score:: 3 + - ```sql + INSERT -- insert data + SELECT -- query (select) data + UPDATE -- update data + DELETE -- delete data + ``` +- +- # Autonumber + - What does `AUTO_INCREMENT` do in MySQL? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T03:03:50.803Z + card-last-reviewed:: 2022-11-14T20:03:50.803Z + card-last-score:: 5 + - Specifying an attribute to `AUTO_INCREMENT` tells the DBMS to ^^generate a number automatically when a new tuple is inserted into a table.^^ + - Often, this is used for an "artificial" **primary key** value which is needed to ensure that we have a primary key, but has no meaning for the data being stored. + - Using `AUTO_INCREMENT` means that the DBMS takes care of inserting a unique value automatically every time a new tuple is inserted. + - By default, `AUTO_INCREMENT` is **1**, and is incremented by 1 for each new tuple inserted. +- +- # Constraints + - ## Types of Constraints + - ### Foreign Keys + - What is the syntax for specifying **Foreign Keys**? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-26T06:21:18.467Z + card-last-reviewed:: 2022-11-14T20:21:18.468Z + card-last-score:: 3 + - ```sql + FOREIGN KEY (attributename) REFERENCES tablename(attributename) + ``` + - You need to specify: + - The keyword `FOREIGN KEY` to indicate that it is a foreign key constraint. + - The attribute name(s) that will identify the foreign keys in the current table. + - If there is more than one attribute, they should be separated by commas. + - Attribute names should be enclosed in brackets. + - The keyword `REFERENCES` to specify the attribute that the foreign key references. + - The table name and the attribute name of the attribute being referenced by the foreign key. + - Again, the attribute name(s)should be in brackets. + - The table name should be **outside** the brackets. + - ^^You cannot create a foreign key link unless the attribute that it is referencing exists.^^ + - ### Using `ALTER` to Modify Design + - **Remember:** You cannot create a foreign key link *unless* the attribute it's referencing already exists. + - If you want to create everything but the foreign keys initially, you can add a foreign key later using the `ALTER TABLE` command + - + - #### Syntax for `ALTER` Command + - To add a constraint: + - ```SQL + ALTER TABLE tablename + ADD CONSTRAINT constraintname FOREIGN KEY (attributename) REFERENCES tablename(attribute name); + ``` + - To add an attribute (column) constraint: + - ```SQL + ALTER TABLE tablename + ADD attributename DATATYPE; + ``` + - ### Domain Constraints + id:: 6321ba81-0b92-447e-9c6f-1953528d51a8 + - What is the **Domain Constraint**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:38:56.391Z + card-last-score:: 1 + - The value of each attribute A must be an **atomic** value from the **domain** dom(A). + - Essentially: ^^the data types & formats must match to that specified.^^ + - ### Entity Integrity Constraints (Primary Key Constraints) + id:: 6321bafc-6bfc-42da-96a9-f05bcfdff9ba + - What is the **Primary Key / Entity Integrity Constraint**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T00:47:09.544Z + card-last-reviewed:: 2022-11-14T16:47:09.544Z + card-last-score:: 5 + - The **primary key** should uniquely identify each tuple in a relation. + - This means: + - No duplicate values allowed for the primary key + - No `NULL`values allowed for the primary key + - **Note:** `NULL` values may possibly also not be permitted for other attributes. + - We often see this constraint when filling out forms online ("*required") and the constraint is often necessary for non-key attributes. + - However, we should be careful to only add `NOT NULL` constraints in the databases when they are really necessary. + - + - ### Referential Integrity Constraints + - What are **Referential Integrity Constraints**? #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.56 + card-last-reviewed:: 2022-11-14T20:19:00.925Z + - **Referential Integrity Constraints** are specified between two relations and require the concept of a **foreign key**. The constraint ensures that ^^the database must **not** contain any unmatched foreign keys.^^ + - Therefore, a relationship involving foreign keys **must** be between attributes of the ^^same type & size.^^ + - In addition, a value for a foreign key attribute **must** exist already as a candidate key value. + - Essentially: "no unmatched foreign keys". + - + - ### Semantic Integrity Constraints + - What are **Semantic Integrity Constraints**? #card + card-last-interval:: 56.69 + card-repeats:: 5 + card-ease-factor:: 2.42 + card-next-schedule:: 2023-01-07T03:37:12.551Z + card-last-reviewed:: 2022-11-11T11:37:12.551Z + card-last-score:: 5 + - **Semantic Integrity Constraints** ensure that the data entered into a row reflects an allowable value for that row. The value must be within the *domain*, or allowable set of values, for that column. + - How are **Semantic Integrity Constraints** specified? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:42:45.174Z + card-last-score:: 1 + - **Semantic Integrity Constraints** are specified & enforced using a *constraint specification language*. + - What are the two types of **Semantic Integrity Constraints**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-11-25T13:05:15.346Z + card-last-reviewed:: 2022-11-21T13:05:15.347Z + card-last-score:: 3 + - **State Constraints:** Constrain an entity to being in certain states. + - **Transition Constraints:** Constrain an entity to only being updated in certain ways. + - ## Setting Constraints + - **Domain Constraints** are set automatically once the data type is chosen. + - **Entity Constraints** are also set automatically once a primary key has been chosen. + - Usually default constraints are set for foreign keys, but these can be changed. + - + - ## Update Operations & Constraint Violations + - The DBMS must check that the constraints are not violated whenever **update operations** are applied. + - + - ### Insert Operation + - What does the **Insert Operation** do? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T00:47:14.600Z + card-last-reviewed:: 2022-11-14T16:47:14.600Z + card-last-score:: 5 + - The **Insert Operation** provides a list of attribute values for a new tuple $t$ that is to be inserted into a relation $R$. + - This can happen directly via the interface or via the query. + - If a constraint is violated, the DBMS will reject the insertion - usually with an explanation. + - ### Delete Operation + - How can a **Delete Operation** violate constraints? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T03:03:33.858Z + card-last-reviewed:: 2022-11-14T20:03:33.859Z + card-last-score:: 5 + - A **delete operation** can only violate **integrity constraints**, i.e., if the tuple being deleted is referenced by the foreign key from other tuples. + - The DBMS can: + - reject deletion, usually within an explanation. + - attempt to *cascade* deletion. + - modify referencing attribute. + - #### Update Operation + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-07T10:32:05.858Z + - What is an **Update** Operation? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-20T08:30:42.712Z + card-last-reviewed:: 2022-11-11T11:30:42.713Z + card-last-score:: 3 + - An **update** operation is used to change the values of one or more attributes in a tuple of a table. + - Issues already discussed with insert & delete could arise with this operation, specifically: + - If a primary key is modified, that's essentially the same as deleting one tuple and inserting another tuple in its place. + - If a foreign key is modified, the DBMS must ensure that the new value refers to an existing tuple in the reference relation. + - ### Cascade Update & Delete + - Whenever tuples in the **referenced** (master) table are deleted or updated, the respective tuples of the **referencing** (child) table with a matching foreign key column will be deleted or updated as well. + - Note that if cascading `DELETE` is turned on, there could be many deletions performed with a single query such as: + - ```sql + DELETE FROM employee + WHERE ssn = 12345678; + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Joins & Union Queries/2022-11-09T13_03_58.126Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Joins & Union Queries/2022-11-09T13_03_58.126Z.Desktop.md new file mode 100644 index 00000000..06e3b519 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Joins & Union Queries/2022-11-09T13_03_58.126Z.Desktop.md @@ -0,0 +1,180 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Entity Relationship Models]] +- **Next Topic:** [[Normalisation]] +- **Relevant Slides:** ![SQL Joins and Union Queries class.pdf](../assets/SQL_Joins_and_Union_Queries_class_1665572555489_0.pdf) +- +- # Joins + - What are **Joins**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:10.068Z + card-last-score:: 1 + - ^^**Joins** combine multiple tables into one table.^^ + - This new (temporary) table is then queried to return results so that we can return values from any of the table that were joined. + - Tables are joined by specifying links (**joins**) across attributes in the tables. + - Joins are carried out on 2 tables at a time, but many tables can be joined in one. + - For example, a third table could be joined to a table that results from joining two tables. + - ## Specifying Joins #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:57:28.441Z + card-last-score:: 1 + - [1]. In SQL, we must specify *all the tables* that are part of the join in the `FROM` clause. + - [2]. We must then specify the **join condition** - for an inner join, the condition is `foreign_key = primary_key / candidate_key`. + - [3]. The join condition can be specified in the `FROM` or `WHERE` clause. + - ## Different Types of Joins + - **Inner Join** is the default when using an **implicit join**. + - For **explicit joins**, we must explicitly state the join used. + - ![https://www.csestack.org/wp-content/uploads/2020/10/sql-table-joins.png](https://www.csestack.org/wp-content/uploads/2020/10/sql-table-joins.png) + - ### Inner Joins #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:56:56.972Z + card-last-score:: 1 + - An `INNER JOIN` includes the tuples from the first (left) of the two tables ^^only when they satisfy the join condition^^ and tuples from the second (right) table ^^only when they also satisfy the join condition.^^ + - Example: + - ```sql + SELECT * + FROM employee INNER JOIN dependent + ON ssn = essn; + ``` + - ### Left Joins #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T08:43:49.911Z + card-last-reviewed:: 2022-10-18T08:43:49.912Z + card-last-score:: 1 + - **Left (outer) joins** include all of the tuples from the first (left) of two tables, regardless of whether or not they satisfy the join condition or if there are matching values in the second (right) table. + - Tuples from the second (right) table are only included when they satisfy the join condition. + - [Essentially the same as right joins.] + - Example: + - ```sql + SELECT * + FROM employee LEFT JOIN department ON + employee.ssn = department.mgrssn; + ``` + - ### Right Joins #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:25.910Z + card-last-score:: 1 + - **Right (outer) joins** include all of the tuples from the second (right) table, regardless of whether or not they satisfy the join condition or if there are matching values in the first (left) table. + - Tuples from the first (left) table are include only if the satisfy the join condition. + - [Essentially the same as left joins.] + - Example: + - ```sql + SELECT * + FROM employee RIGHT JOIN department ON + employee.ssn = department.mgrssn; + ``` + - ## Inner Joining Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-17T23:00:00.000Z + card-last-reviewed:: 2022-10-17T13:27:52.837Z + card-last-score:: 1 + - The results of an inner join operation between two tables $R(A_1, A_2, \dots, A_n)$ and $S(B_1, B_2, \dots, B_m)$ is a table $Q(A_1, A_2, \dots, A_n, B_1, B_2, \dots, B_m)$. + - $Q$ has one tuple for each combination of tuples (one from $R$ & one from $S$) ^^whenever the combination satisfies the join condition^^ - the join will retrieve **all** attributes in each table. + - ### Example: Inner Join Condition for the `employee` & `dependent` Tables + - **Join Condition:** `ssn = essn`. + - Full query retrieving all employees & their dependents (*dependants* in non-American English), when they have dependents: + - ```SQL + SELECT * + FROM employee INNER JOIN dependent + ON ssn = essn; + ``` + - #### Note + - When attributes with the same name from different tables are used in a join query, you need to specify the table name to avoid ambiguity. + - For example: + - `bdate` in `employee` & `dependent`. + - We can refer to these unambiguously as `employee.bdate` & `dependent.bdate`. + - + - ## Implicit & Explicit Joins + - The **join condition** can be specified *implicitly* or *explicitly*. + - What is an **explicit join**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-17T23:00:00.000Z + card-last-reviewed:: 2022-10-17T13:27:41.672Z + card-last-score:: 1 + - An **explicit join** is specified in the `FROM` clause where the tables to be joined are listed. + - The keyword `INNER JOIN` is used for inner joins, and the **join condition** is listed using the keyword `ON`. + - Syntax: + - ```SQL + SELECT [DISTINCT] + FROM + [INNER / LEFT / RIGHT] JOIN
+ ON + WHERE + ``` + - What is an **implicit join**? #card + id:: 6346a49e-2951-4bdb-ab74-6920aa664c41 + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-17T23:00:00.000Z + card-last-reviewed:: 2022-10-17T13:28:05.696Z + card-last-score:: 1 + - An **implicit join** is specified on the `WHERE` clause without using the keyword `ON`. + - It is referred to as a **join condition**. + - All the tables must be listed in the `FROM` clause, separated by commas. + - The **join condition** is contained in the `WHERE` clause. + - If there are other conditions, the join condition is appended on with `AND`. + - Other conditions can be specified in the `WHERE` clause as well as the join condition. + - All implicit joins are **inner joins** - all rows from both tables will be returned whenever there is a match between the attributes in the join table. + - Syntax: + - ```sql + SELECT [DISTINCT] + FROM
,
+ WHERE AND + + ``` + - ## Self-Joins & Aliases + - What is a **self-join**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:33.200Z + card-last-score:: 1 + - A **self-join** is a normal SQL join that joins a table to itself. + - This is accomplished by using **aliases** to give each "instance" of the table a separate name using the keyword `AS`. +- # Sub-Queries VS Joins + - Can sub-queries & joins be used interchangeably? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T07:45:55.095Z + card-last-reviewed:: 2022-10-19T08:45:55.097Z + card-last-score:: 3 + - In some cases, you can replace a join with a sub-query. + - But recall: + - Joins are needed when values across multiple tables must be displayed. + - Sub-queries are needed when an existing value from a table needs to be retrieved & used as part of the query solution. + - Sub-queries are needed when an aggregate function needs to be performed & used as part of a query solution. +- # Union Queries + - The keyword `UNION` is used to combine the results of two or more queries or tables. + - MySQL does not support minus or intersection (intersect) operators, but the same functionality can be built using join. + - For union queries, tables must be **union compatible**. + - What does it mean to be **union compatible**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:11.787Z + card-last-score:: 1 + - Two relations are **union compatible** if the schemas of two relations match. + - i.e., there are the same number of attributes in each relation, and each pair of corresponding attributes have the same **domain**. +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/More Java Code/2022-09-30T10_01_42.352Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/More Java Code/2022-09-30T10_01_42.352Z.Desktop.md new file mode 100644 index 00000000..3e60286d --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/More Java Code/2022-09-30T10_01_42.352Z.Desktop.md @@ -0,0 +1,52 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[First Java Code]] +- **Next Topic:** null +- **Relevant Slides:** ![Lecture03.pdf](../assets/Lecture03_1663063871202_0.pdf) +- +- # Composition & Inheritance + - ## Composition + - What is **Composition**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-21T20:50:47.300Z + card-last-reviewed:: 2022-09-17T20:50:47.301Z + card-last-score:: 5 + - **Composition** is a type of "has-a" relationship. One object is **composed** of another and relies upon its services for its own functionality. + - It is one of the fundamental relationships between classes in OOP. + - For example: + - The class `RacingBike` **has-a** `Wheel` - **Composition**. + - How do you represent **Composition** in OOP class diagrams? #card + card-last-interval:: 9.55 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-29T07:30:34.783Z + card-last-reviewed:: 2022-09-19T18:30:34.784Z + card-last-score:: 5 + - In OOP class diagrams, a **diamond shape** indicates **composition** or a "has-a" relationship. + - ![image.png](../assets/image_1663271062397_0.png) + - This class diagram tells us that a `Vehicle` object is composed of a single `Engine` object. + - How do you realise **Composition** in Java? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-21T19:47:12.777Z + card-last-reviewed:: 2022-09-17T19:47:12.777Z + card-last-score:: 3 + - To realise a "has-a" relationship in Java, you must ^^create a link between the **participant classes** using a **reference type variable**.^^ + - The reference declaration is in the **owner** class. + - + - # Inheritance + - What is **Inheritance**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:31:39.621Z + card-last-score:: 1 + - **Inheritance** is a type of "is-a" relationship. + - It is one of the fundamental relationships between classes in OOP. + - For example: + - A `RacingBike` **is-a** type of `Bicycle` - **Inheritance**. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/More Java Code/2022-10-07T08_33_33.349Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/More Java Code/2022-10-07T08_33_33.349Z.Desktop.md new file mode 100644 index 00000000..8aaf9f55 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/More Java Code/2022-10-07T08_33_33.349Z.Desktop.md @@ -0,0 +1,52 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[First Java Code]] +- **Next Topic:** null +- **Relevant Slides:** ![Lecture03.pdf](../assets/Lecture03_1663063871202_0.pdf) +- +- # Composition & Inheritance + - ## Composition + - What is **Composition**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T09:28:05.146Z + card-last-reviewed:: 2022-09-30T09:28:05.146Z + card-last-score:: 5 + - **Composition** is a type of "has-a" relationship. One object is **composed** of another and relies upon its services for its own functionality. + - It is one of the fundamental relationships between classes in OOP. + - For example: + - The class `RacingBike` **has-a** `Wheel` - **Composition**. + - How do you represent **Composition** in OOP class diagrams? #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-15T07:08:01.227Z + card-last-reviewed:: 2022-10-04T12:08:01.227Z + card-last-score:: 5 + - In OOP class diagrams, a **diamond shape** indicates **composition** or a "has-a" relationship. + - ![image.png](../assets/image_1663271062397_0.png) + - This class diagram tells us that a `Vehicle` object is composed of a single `Engine` object. + - How do you realise **Composition** in Java? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T09:28:00.640Z + card-last-score:: 1 + - To realise a "has-a" relationship in Java, you must ^^create a link between the **participant classes** using a **reference type variable**.^^ + - The reference declaration is in the **owner** class. + - + - # Inheritance + - What is **Inheritance**? #card + card-last-interval:: 2.22 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-02T14:27:50.641Z + card-last-reviewed:: 2022-09-30T09:27:50.642Z + card-last-score:: 3 + - **Inheritance** is a type of "is-a" relationship. + - It is one of the fundamental relationships between classes in OOP. + - For example: + - A `RacingBike` **is-a** type of `Bicycle` - **Inheritance**. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/More Java Code/2022-11-11T12_04_45.349Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/More Java Code/2022-11-11T12_04_45.349Z.Desktop.md new file mode 100644 index 00000000..efeca672 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/More Java Code/2022-11-11T12_04_45.349Z.Desktop.md @@ -0,0 +1,52 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[First Java Code]] +- **Next Topic:** [[Variables & Types]] +- **Relevant Slides:** ![Lecture03.pdf](../assets/Lecture03_1663063871202_0.pdf) +- +- # Composition & Inheritance + - ## Composition + - What is **Composition**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-17T15:22:03.790Z + card-last-reviewed:: 2022-10-07T10:22:03.790Z + card-last-score:: 3 + - **Composition** is a type of "has-a" relationship. One object is **composed** of another and relies upon its services for its own functionality. + - It is one of the fundamental relationships between classes in OOP. + - For example: + - The class `RacingBike` **has-a** `Wheel` - **Composition**. + - How do you represent **Composition** in OOP class diagrams? #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-15T07:08:01.227Z + card-last-reviewed:: 2022-10-04T12:08:01.227Z + card-last-score:: 5 + - In OOP class diagrams, a **diamond shape** indicates **composition** or a "has-a" relationship. + - ![image.png](../assets/image_1663271062397_0.png) + - This class diagram tells us that a `Vehicle` object is composed of a single `Engine` object. + - How do you realise **Composition** in Java? #card + card-last-interval:: 3.58 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T23:31:31.282Z + card-last-reviewed:: 2022-10-07T10:31:31.282Z + card-last-score:: 5 + - To realise a "has-a" relationship in Java, you must ^^create a link between the **participant classes** using a **reference type variable**.^^ + - The reference declaration is in the **owner** class. + - + - # Inheritance + - What is **Inheritance**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-15T14:18:15.221Z + card-last-reviewed:: 2022-10-06T17:18:15.222Z + card-last-score:: 3 + - **Inheritance** is a type of "is-a" relationship. + - It is one of the fundamental relationships between classes in OOP. + - For example: + - A `RacingBike` **is-a** type of `Bicycle` - **Inheritance**. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Normalisation/2022-11-11T12_04_45.351Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Normalisation/2022-11-11T12_04_45.351Z.Desktop.md new file mode 100644 index 00000000..6f469e60 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Normalisation/2022-11-11T12_04_45.351Z.Desktop.md @@ -0,0 +1,227 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Joins & Union Queries]] +- **Next Topic:** [[Query Processing: Relational Algebra]] +- **Relevant Slides:** ![normalisation_2022_part1.pdf](../assets/normalisation_2022_part1_1666177004532_0.pdf) ![normalisation_2022_part2.pdf](../assets/normalisation_2022_part2_1666776016494_0.pdf) +- +- # Normalisation + - What is **normalisation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:26:27.892Z + card-last-score:: 1 + - **Normalisation** takes each table through a series of tests to "verify" whether or not it belongs to a certain **normal form**. + - Normal forms to check: + - 1^{st}, 2^{nd}, & 3^{rd} normal forms (**NF**). + - Boyce-Codd normal form - strong 3NF. + - 4^{th} & 5^{th} Normal Forms. + - ### Normalisation Provides: + - 1. A formal framework for analysing relation schemas based on **keys** & **functional dependencies** among attributes. + 2. A series of **tests** so that a database can be normalised to any degree (e.g., from 1NF to 5NF). + - However, normalisation does not necessarily provide a good design if considered in isolation to everything else. + - What are **normalisation rules**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:34:44.367Z + card-last-score:: 1 + - **Normalisation** rules gives us a *formal measure* of why one grouping of attributes in a relation schema may be better than the other. + - Why normalise? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:34:00.942Z + card-last-score:: 1 + - 1. Redundancy will be reduced or eliminated, reducing storage space as a result. + 2. The task of maintaining data integrity is made easier. + - However, with normalisation, tables are usually added to the schema and are linked with foreign keys, which causes queries to become more complex as the often require data from multiple tables (requiring joins or subqueries). + - ## Normalised & Un-Normalised Databases + - Both normalised & un-normalised databases have advantages & disadvantages. + - If a data base is **normalised**: + - No (or very little) redundancy. + - No anomalies when inserting, deleting, or modifying data. + - More tables. + - More foreign & primary keys to link tables. + - More complex queries. + - ### Redundancy + - What is **redundancy**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-29T06:39:09.263Z + card-last-reviewed:: 2022-10-26T11:39:09.264Z + card-last-score:: 5 + - **Redundancy** is the unnecessary duplication of data in a database. + - Consequences of redundancy: + - Space is wasted. + - Data can become inconsistent due to potential problems with update, insert, & delete operations. + - What is **duplication**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:39:40.006Z + card-last-score:: 1 + - Duplicated data can naturally be present in a database and is not necessarily redundant. + - For example, an attribute can have two identical values. + - In the company database `ESSN` in `works_on` may be duplicated across many projects. + - Data is **duplicated** rather than **redundant** if information is lost when deleting data + - + - ## Alternatives to Normalisation #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-29T06:34:59.505Z + card-last-reviewed:: 2022-10-26T11:34:59.505Z + card-last-score:: 5 + - The alternative to normalisation is to retain redundant data and maintain data integrity by means of code consistency checks. + - In some applications, the number of insertions may be very small or non-existent and in such cases, the overhead of normalised tables is generally not required. + - ## De-Normalisation + - What is **de-normalisation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:26:15.641Z + card-last-score:: 1 + - **De-normalisation** is a process of making compromises to the normalised tables by ^^introducing intentional redundancy^^ for performance reasons (specifically, querying performance). + - Typically, de-normalisation will improve query times at the expense of data updates (insert, delete, update). +- # Functional Dependencies + - What is **Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:24:09.173Z + card-last-score:: 1 + - If $A$ & $B$ are attributes of a relation $R$, then $B$ is **functionally dependent (FD)** on $A$ if each value of $A$ is associated with exactly one value of $B$. + - i.e., values in $B$ are uniquely determined by values of $A$. + - Functional Dependency is one of the main concepts associated with normalisation. + - It describes the ^^relationship between attributes.^^ + - $A$ -> $B$: + - FD from $A$ to $B$. + - $B$ is FD on $A$. + - ![image.png](../assets/image_1666178440078_0.png) + - $A$ -> $B$ does not necessarily imply $B$ -> $A$. + - $A$ <-> $B$ denotes $A$ -> $B$ & $B$ -> $A$. + - $A$ -> $\{B,C\}$ denotes $A$ -> $B$ & $A$ -> $C$. + - $\{A,B\}$ -> $C$ denotes that it is the **combination** of $A$ & $B$ that uniquely determines $C$. + - ### Note on FDs + - A functional dependency is a property of a relation schema $R$ and cannot be inferred automatically. Instead, it must be defined explicitly by someone who knows the **semantics** of $R$. + - You will either be explicitly given all FDs, or given enough information about the attributes & the domain to *reasonably* infer the FDs (perhaps having to make assumptions). + - ## Types of FDs #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:27:22.772Z + card-last-score:: 1 + - ### Full Functional Dependency + - What is a **Full Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:24:16.042Z + card-last-score:: 1 + - A functional dependency $\{X, Y\}$ -> $Z$ is a **full functional dependency** if when some attribute (either $X$ or $Y$) is removed from the left-hand side, the dependency ^^does not hold.^^ + - There may be any number of attributes on the LHS. + - ### Partial Functional Dependency + - What is a **Partial Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:40:00.928Z + card-last-score:: 1 + - A functional dependency $\{X, Y\}$ -> $Z$ is a **partial functional dependency** if some attribute (either $X$ or $Y$) can be removed from the LHS and the dependency ^^still holds.^^ + - There may be any number of attributes on the LHS. + - ### Transitive Functional Dependency + - What is a **Transitive Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:31:05.365Z + card-last-score:: 1 + - A functional dependency $X$ -> $Y$ is a **transitive functional dependency** in the relation $R$ if there is a set of attributes $Z$ that is neither a candidate key nor a subset of any key of $R$, and borht $X$ -> $Z$ & $Z$ -> $Y$ hold + - What is a **Candidate Key (CK)**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-29T06:42:33.029Z + card-last-reviewed:: 2022-10-26T11:42:33.029Z + card-last-score:: 5 + - A **candidate key (CK)** is one or more attribute(s) in a relation with which you can determine all the attributes in the relation. + - Every relation has one or more candidate keys. + - We pick one such candidate key as the primary key of a relation. + - # Inference Rules for FDs + - Typically, the main obvious functional dependencies $F$ are specified for a schema. + - However, many others can be inferred from $F$. + - We call these the **closure** of $F$: $F^+$. + - **1. Reflexive:** Trivially, an attribute, or a set of attributes, always determines itself. + - **2. Augmentation:** If $X$ - $Y$, we can infer $XZ$ -> $YZ$. + - **3. Transitive:** If $X$ -> $Y$ & $Y$ -> $Z$, we can infer $X$ -> $Z$. + - **4. Decomposition:** If $X$ -> $YZ$, we can infer $X$ -> $Y$. + - **5. Union (additive):** If $X$ -> $Y$ and $X$ -> $Z$, we can infer if $X$ -> $YZ$. + - **6. Pseudotransitive:** If $X$ -> $Y$ and $WY$ -> $Z$, we can infer $WX$ -> $Z$. + - Note: Rules 1,2, & 3 are collectively called **Armstrong's Axioms**. +- # Normal Forms + - ## First Normal Form (1NF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:32:19.711Z + card-last-score:: 1 + - A table is in in **1NF** if the table does not have any repeating groups (a group of attributes that occur a variable number of times in each record (non-atomic)). + - To ensure first normal form, choose an appropriate primary key (if one is not already specified) and if required, split the table into two or more tables to remove repeating groups. + - ## Second Normal Form (2NF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:42:43.105Z + card-last-score:: 1 + - A relation in **2NF** must be in 1NF and be such that where there is a composite primary key, all non-key attributes must be dependent on the *entire* primary key. + - If partial dependencies exist, create new relations to split the attributes such that the partial dependency no longer holds. + - ## Third Normal Form (3NF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:44:42.467Z + card-last-score:: 1 + - A relation is in **3NF** if it is in 3NF and there are no dependencies between attributes that are not primary keys. + - That is, no transitive dependencies exist in the table. + - ### Steps to Normalise to 3NF #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:43:05.713Z + card-last-score:: 1 + - 1. Identify an appropriate **Primary Key** if not already given. + - This puts the table into **1NF**. + - 2. Draw a diagram of **Functional Dependencies** from the primary key. + 3. Identify if the dependencies are Full, Partial, or Transitive. + 4. Using the diagram of the functional dependencies from the previous steps: + - 5. Normalise to **2NF** by ^^removing **partial dependencies**^^ - creating new tables as a result. Ensure that all new tables have Primary Keys. + 6. Normalise to **3NF** by ^^removing **transitive dependencies**^^ (if they exist), creating new tables as a result. Ensure that any new tables have Primary Keys and are in 2NF. + 7. Check that all resulting tables are themselves in 1NF, 2NF, and 3NF (in particular, make sure that they all have PKs of their own). + - ## Boyce-Codd Normal Form (BCNF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:40:29.231Z + card-last-score:: 1 + - Only in rare cases does a 3NF table not meet the requirements off **BCNF**. + - These cases are when a table has more than one candidate key. + - Depending on the functional dependencies, a 3NF table with two or more overlapping candidate keys may or may not be in BCNF. + - If a table in 3NF **does not** have multiple overlapping candidate keys, then it is guaranteed to be in **BCNF**. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Normalisation/2022-11-23T09_22_44.502Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Normalisation/2022-11-23T09_22_44.502Z.Desktop.md new file mode 100644 index 00000000..ef529988 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Normalisation/2022-11-23T09_22_44.502Z.Desktop.md @@ -0,0 +1,227 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Joins & Union Queries]] +- **Next Topic:** [[Query Processing: Relational Algebra]] +- **Relevant Slides:** ![normalisation_2022_part1.pdf](../assets/normalisation_2022_part1_1666177004532_0.pdf) ![normalisation_2022_part2.pdf](../assets/normalisation_2022_part2_1666776016494_0.pdf) +- +- # Normalisation + - What is **normalisation**? #card + card-last-interval:: 0.95 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T17:36:23.333Z + card-last-reviewed:: 2022-11-17T19:36:23.333Z + card-last-score:: 3 + - **Normalisation** takes each table through a series of tests to "verify" whether or not it belongs to a certain **normal form**. + - Normal forms to check: + - 1^{st}, 2^{nd}, & 3^{rd} normal forms (**NF**). + - Boyce-Codd normal form - strong 3NF. + - 4^{th} & 5^{th} Normal Forms. + - ### Normalisation Provides: + - 1. A formal framework for analysing relation schemas based on **keys** & **functional dependencies** among attributes. + 2. A series of **tests** so that a database can be normalised to any degree (e.g., from 1NF to 5NF). + - However, normalisation does not necessarily provide a good design if considered in isolation to everything else. + - What are **normalisation rules**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:16:28.568Z + card-last-score:: 1 + - **Normalisation** rules gives us a *formal measure* of why one grouping of attributes in a relation schema may be better than the other. + - Why normalise? #card + card-last-interval:: 0.95 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-22T11:06:25.159Z + card-last-reviewed:: 2022-11-21T13:06:25.160Z + card-last-score:: 3 + - 1. Redundancy will be reduced or eliminated, reducing storage space as a result. + 2. The task of maintaining data integrity is made easier. + - However, with normalisation, tables are usually added to the schema and are linked with foreign keys, which causes queries to become more complex as the often require data from multiple tables (requiring joins or subqueries). + - ## Normalised & Un-Normalised Databases + - Both normalised & un-normalised databases have advantages & disadvantages. + - If a data base is **normalised**: + - No (or very little) redundancy. + - No anomalies when inserting, deleting, or modifying data. + - More tables. + - More foreign & primary keys to link tables. + - More complex queries. + - ### Redundancy + - What is **redundancy**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:19:53.452Z + card-last-reviewed:: 2022-11-14T20:19:53.453Z + card-last-score:: 5 + - **Redundancy** is the unnecessary duplication of data in a database. + - Consequences of redundancy: + - Space is wasted. + - Data can become inconsistent due to potential problems with update, insert, & delete operations. + - What is **duplication**? #card + card-last-interval:: 2.97 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T19:17:11.015Z + card-last-reviewed:: 2022-11-14T20:17:11.015Z + card-last-score:: 5 + - Duplicated data can naturally be present in a database and is not necessarily redundant. + - For example, an attribute can have two identical values. + - In the company database `ESSN` in `works_on` may be duplicated across many projects. + - Data is **duplicated** rather than **redundant** if information is lost when deleting data + - + - ## Alternatives to Normalisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:19:50.503Z + card-last-score:: 1 + - The alternative to normalisation is to retain redundant data and maintain data integrity by means of code consistency checks. + - In some applications, the number of insertions may be very small or non-existent and in such cases, the overhead of normalised tables is generally not required. + - ## De-Normalisation + - What is **de-normalisation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:34:49.533Z + card-last-score:: 1 + - **De-normalisation** is a process of making compromises to the normalised tables by ^^introducing intentional redundancy^^ for performance reasons (specifically, querying performance). + - Typically, de-normalisation will improve query times at the expense of data updates (insert, delete, update). +- # Functional Dependencies + - What is **Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:06:48.090Z + card-last-score:: 1 + - If $A$ & $B$ are attributes of a relation $R$, then $B$ is **functionally dependent (FD)** on $A$ if each value of $A$ is associated with exactly one value of $B$. + - i.e., values in $B$ are uniquely determined by values of $A$. + - Functional Dependency is one of the main concepts associated with normalisation. + - It describes the ^^relationship between attributes.^^ + - $A$ -> $B$: + - FD from $A$ to $B$. + - $B$ is FD on $A$. + - ![image.png](../assets/image_1666178440078_0.png) + - $A$ -> $B$ does not necessarily imply $B$ -> $A$. + - $A$ <-> $B$ denotes $A$ -> $B$ & $B$ -> $A$. + - $A$ -> $\{B,C\}$ denotes $A$ -> $B$ & $A$ -> $C$. + - $\{A,B\}$ -> $C$ denotes that it is the **combination** of $A$ & $B$ that uniquely determines $C$. + - ### Note on FDs + - A functional dependency is a property of a relation schema $R$ and cannot be inferred automatically. Instead, it must be defined explicitly by someone who knows the **semantics** of $R$. + - You will either be explicitly given all FDs, or given enough information about the attributes & the domain to *reasonably* infer the FDs (perhaps having to make assumptions). + - ## Types of FDs #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:30.192Z + card-last-score:: 1 + - ### Full Functional Dependency + - What is a **Full Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:15:37.929Z + card-last-score:: 1 + - A functional dependency $\{X, Y\}$ -> $Z$ is a **full functional dependency** if when some attribute (either $X$ or $Y$) is removed from the left-hand side, the dependency ^^does not hold.^^ + - There may be any number of attributes on the LHS. + - ### Partial Functional Dependency + - What is a **Partial Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:15:25.672Z + card-last-score:: 1 + - A functional dependency $\{X, Y\}$ -> $Z$ is a **partial functional dependency** if some attribute (either $X$ or $Y$) can be removed from the LHS and the dependency ^^still holds.^^ + - There may be any number of attributes on the LHS. + - ### Transitive Functional Dependency + - What is a **Transitive Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:16:18.865Z + card-last-score:: 1 + - A functional dependency $X$ -> $Y$ is a **transitive functional dependency** in the relation $R$ if there is a set of attributes $Z$ that is neither a candidate key nor a subset of any key of $R$, and both $X$ -> $Z$ & $Z$ -> $Y$ hold + - What is a **Candidate Key (CK)**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-18T06:20:02.759Z + card-last-reviewed:: 2022-11-14T20:20:02.759Z + card-last-score:: 3 + - A **candidate key (CK)** is one or more attribute(s) in a relation with which you can determine all the attributes in the relation. + - Every relation has one or more candidate keys. + - We pick one such candidate key as the primary key of a relation. + - # Inference Rules for FDs + - Typically, the main obvious functional dependencies $F$ are specified for a schema. + - However, many others can be inferred from $F$. + - We call these the **closure** of $F$: $F^+$. + - **1. Reflexive:** Trivially, an attribute, or a set of attributes, always determines itself. + - **2. Augmentation:** If $X$ - $Y$, we can infer $XZ$ -> $YZ$. + - **3. Transitive:** If $X$ -> $Y$ & $Y$ -> $Z$, we can infer $X$ -> $Z$. + - **4. Decomposition:** If $X$ -> $YZ$, we can infer $X$ -> $Y$. + - **5. Union (additive):** If $X$ -> $Y$ and $X$ -> $Z$, we can infer if $X$ -> $YZ$. + - **6. Pseudotransitive:** If $X$ -> $Y$ and $WY$ -> $Z$, we can infer $WX$ -> $Z$. + - Note: Rules 1,2, & 3 are collectively called **Armstrong's Axioms**. +- # Normal Forms + - ## First Normal Form (1NF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:12:58.023Z + card-last-score:: 1 + - A table is in in **1NF** if the table ==does not have any repeating groups== (a group of attributes that occur a variable number of times in each record (non-atomic)). + - To ensure first normal form, choose an appropriate primary key (if one is not already specified) and if required, split the table into two or more tables to remove repeating groups. + - ## Second Normal Form (2NF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:15:09.806Z + card-last-score:: 1 + - A relation in **2NF** must be in 1NF and be such that where there is a composite primary key, all non-key attributes must be dependent on the *entire* primary key. + - If partial dependencies exist, create new relations to split the attributes such that the partial dependency no longer holds. + - ## Third Normal Form (3NF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:15:39.277Z + card-last-score:: 1 + - A relation is in **3NF** if it is in 3NF and there are no dependencies between attributes that are not primary keys. + - That is, no transitive dependencies exist in the table. + - ### Steps to Normalise to 3NF #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:17:36.919Z + card-last-score:: 1 + - 1. Identify an appropriate **Primary Key** if not already given. + - This puts the table into **1NF**. + - 2. Draw a diagram of **Functional Dependencies** from the primary key. + 3. Identify if the dependencies are Full, Partial, or Transitive. + 4. Using the diagram of the functional dependencies from the previous steps: + - 5. Normalise to **2NF** by ^^removing **partial dependencies**^^ - creating new tables as a result. Ensure that all new tables have Primary Keys. + 6. Normalise to **3NF** by ^^removing **transitive dependencies**^^ (if they exist), creating new tables as a result. Ensure that any new tables have Primary Keys and are in 2NF. + 7. Check that all resulting tables are themselves in 1NF, 2NF, and 3NF (in particular, make sure that they all have PKs of their own). + - ## Boyce-Codd Normal Form (BCNF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:17:25.144Z + card-last-score:: 1 + - Only in rare cases does a 3NF table not meet the requirements off **BCNF**. + - These cases are when a table has more than one candidate key. + - Depending on the functional dependencies, a 3NF table with two or more overlapping candidate keys may or may not be in BCNF. + - If a table in 3NF **does not** have multiple overlapping candidate keys, then it is guaranteed to be in **BCNF**. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Normalisation/2022-11-23T12_15_36.865Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Normalisation/2022-11-23T12_15_36.865Z.Desktop.md new file mode 100644 index 00000000..ef529988 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Normalisation/2022-11-23T12_15_36.865Z.Desktop.md @@ -0,0 +1,227 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Joins & Union Queries]] +- **Next Topic:** [[Query Processing: Relational Algebra]] +- **Relevant Slides:** ![normalisation_2022_part1.pdf](../assets/normalisation_2022_part1_1666177004532_0.pdf) ![normalisation_2022_part2.pdf](../assets/normalisation_2022_part2_1666776016494_0.pdf) +- +- # Normalisation + - What is **normalisation**? #card + card-last-interval:: 0.95 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T17:36:23.333Z + card-last-reviewed:: 2022-11-17T19:36:23.333Z + card-last-score:: 3 + - **Normalisation** takes each table through a series of tests to "verify" whether or not it belongs to a certain **normal form**. + - Normal forms to check: + - 1^{st}, 2^{nd}, & 3^{rd} normal forms (**NF**). + - Boyce-Codd normal form - strong 3NF. + - 4^{th} & 5^{th} Normal Forms. + - ### Normalisation Provides: + - 1. A formal framework for analysing relation schemas based on **keys** & **functional dependencies** among attributes. + 2. A series of **tests** so that a database can be normalised to any degree (e.g., from 1NF to 5NF). + - However, normalisation does not necessarily provide a good design if considered in isolation to everything else. + - What are **normalisation rules**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:16:28.568Z + card-last-score:: 1 + - **Normalisation** rules gives us a *formal measure* of why one grouping of attributes in a relation schema may be better than the other. + - Why normalise? #card + card-last-interval:: 0.95 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-22T11:06:25.159Z + card-last-reviewed:: 2022-11-21T13:06:25.160Z + card-last-score:: 3 + - 1. Redundancy will be reduced or eliminated, reducing storage space as a result. + 2. The task of maintaining data integrity is made easier. + - However, with normalisation, tables are usually added to the schema and are linked with foreign keys, which causes queries to become more complex as the often require data from multiple tables (requiring joins or subqueries). + - ## Normalised & Un-Normalised Databases + - Both normalised & un-normalised databases have advantages & disadvantages. + - If a data base is **normalised**: + - No (or very little) redundancy. + - No anomalies when inserting, deleting, or modifying data. + - More tables. + - More foreign & primary keys to link tables. + - More complex queries. + - ### Redundancy + - What is **redundancy**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:19:53.452Z + card-last-reviewed:: 2022-11-14T20:19:53.453Z + card-last-score:: 5 + - **Redundancy** is the unnecessary duplication of data in a database. + - Consequences of redundancy: + - Space is wasted. + - Data can become inconsistent due to potential problems with update, insert, & delete operations. + - What is **duplication**? #card + card-last-interval:: 2.97 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T19:17:11.015Z + card-last-reviewed:: 2022-11-14T20:17:11.015Z + card-last-score:: 5 + - Duplicated data can naturally be present in a database and is not necessarily redundant. + - For example, an attribute can have two identical values. + - In the company database `ESSN` in `works_on` may be duplicated across many projects. + - Data is **duplicated** rather than **redundant** if information is lost when deleting data + - + - ## Alternatives to Normalisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:19:50.503Z + card-last-score:: 1 + - The alternative to normalisation is to retain redundant data and maintain data integrity by means of code consistency checks. + - In some applications, the number of insertions may be very small or non-existent and in such cases, the overhead of normalised tables is generally not required. + - ## De-Normalisation + - What is **de-normalisation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:34:49.533Z + card-last-score:: 1 + - **De-normalisation** is a process of making compromises to the normalised tables by ^^introducing intentional redundancy^^ for performance reasons (specifically, querying performance). + - Typically, de-normalisation will improve query times at the expense of data updates (insert, delete, update). +- # Functional Dependencies + - What is **Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:06:48.090Z + card-last-score:: 1 + - If $A$ & $B$ are attributes of a relation $R$, then $B$ is **functionally dependent (FD)** on $A$ if each value of $A$ is associated with exactly one value of $B$. + - i.e., values in $B$ are uniquely determined by values of $A$. + - Functional Dependency is one of the main concepts associated with normalisation. + - It describes the ^^relationship between attributes.^^ + - $A$ -> $B$: + - FD from $A$ to $B$. + - $B$ is FD on $A$. + - ![image.png](../assets/image_1666178440078_0.png) + - $A$ -> $B$ does not necessarily imply $B$ -> $A$. + - $A$ <-> $B$ denotes $A$ -> $B$ & $B$ -> $A$. + - $A$ -> $\{B,C\}$ denotes $A$ -> $B$ & $A$ -> $C$. + - $\{A,B\}$ -> $C$ denotes that it is the **combination** of $A$ & $B$ that uniquely determines $C$. + - ### Note on FDs + - A functional dependency is a property of a relation schema $R$ and cannot be inferred automatically. Instead, it must be defined explicitly by someone who knows the **semantics** of $R$. + - You will either be explicitly given all FDs, or given enough information about the attributes & the domain to *reasonably* infer the FDs (perhaps having to make assumptions). + - ## Types of FDs #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:30.192Z + card-last-score:: 1 + - ### Full Functional Dependency + - What is a **Full Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:15:37.929Z + card-last-score:: 1 + - A functional dependency $\{X, Y\}$ -> $Z$ is a **full functional dependency** if when some attribute (either $X$ or $Y$) is removed from the left-hand side, the dependency ^^does not hold.^^ + - There may be any number of attributes on the LHS. + - ### Partial Functional Dependency + - What is a **Partial Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:15:25.672Z + card-last-score:: 1 + - A functional dependency $\{X, Y\}$ -> $Z$ is a **partial functional dependency** if some attribute (either $X$ or $Y$) can be removed from the LHS and the dependency ^^still holds.^^ + - There may be any number of attributes on the LHS. + - ### Transitive Functional Dependency + - What is a **Transitive Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:16:18.865Z + card-last-score:: 1 + - A functional dependency $X$ -> $Y$ is a **transitive functional dependency** in the relation $R$ if there is a set of attributes $Z$ that is neither a candidate key nor a subset of any key of $R$, and both $X$ -> $Z$ & $Z$ -> $Y$ hold + - What is a **Candidate Key (CK)**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-18T06:20:02.759Z + card-last-reviewed:: 2022-11-14T20:20:02.759Z + card-last-score:: 3 + - A **candidate key (CK)** is one or more attribute(s) in a relation with which you can determine all the attributes in the relation. + - Every relation has one or more candidate keys. + - We pick one such candidate key as the primary key of a relation. + - # Inference Rules for FDs + - Typically, the main obvious functional dependencies $F$ are specified for a schema. + - However, many others can be inferred from $F$. + - We call these the **closure** of $F$: $F^+$. + - **1. Reflexive:** Trivially, an attribute, or a set of attributes, always determines itself. + - **2. Augmentation:** If $X$ - $Y$, we can infer $XZ$ -> $YZ$. + - **3. Transitive:** If $X$ -> $Y$ & $Y$ -> $Z$, we can infer $X$ -> $Z$. + - **4. Decomposition:** If $X$ -> $YZ$, we can infer $X$ -> $Y$. + - **5. Union (additive):** If $X$ -> $Y$ and $X$ -> $Z$, we can infer if $X$ -> $YZ$. + - **6. Pseudotransitive:** If $X$ -> $Y$ and $WY$ -> $Z$, we can infer $WX$ -> $Z$. + - Note: Rules 1,2, & 3 are collectively called **Armstrong's Axioms**. +- # Normal Forms + - ## First Normal Form (1NF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:12:58.023Z + card-last-score:: 1 + - A table is in in **1NF** if the table ==does not have any repeating groups== (a group of attributes that occur a variable number of times in each record (non-atomic)). + - To ensure first normal form, choose an appropriate primary key (if one is not already specified) and if required, split the table into two or more tables to remove repeating groups. + - ## Second Normal Form (2NF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:15:09.806Z + card-last-score:: 1 + - A relation in **2NF** must be in 1NF and be such that where there is a composite primary key, all non-key attributes must be dependent on the *entire* primary key. + - If partial dependencies exist, create new relations to split the attributes such that the partial dependency no longer holds. + - ## Third Normal Form (3NF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:15:39.277Z + card-last-score:: 1 + - A relation is in **3NF** if it is in 3NF and there are no dependencies between attributes that are not primary keys. + - That is, no transitive dependencies exist in the table. + - ### Steps to Normalise to 3NF #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:17:36.919Z + card-last-score:: 1 + - 1. Identify an appropriate **Primary Key** if not already given. + - This puts the table into **1NF**. + - 2. Draw a diagram of **Functional Dependencies** from the primary key. + 3. Identify if the dependencies are Full, Partial, or Transitive. + 4. Using the diagram of the functional dependencies from the previous steps: + - 5. Normalise to **2NF** by ^^removing **partial dependencies**^^ - creating new tables as a result. Ensure that all new tables have Primary Keys. + 6. Normalise to **3NF** by ^^removing **transitive dependencies**^^ (if they exist), creating new tables as a result. Ensure that any new tables have Primary Keys and are in 2NF. + 7. Check that all resulting tables are themselves in 1NF, 2NF, and 3NF (in particular, make sure that they all have PKs of their own). + - ## Boyce-Codd Normal Form (BCNF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:17:25.144Z + card-last-score:: 1 + - Only in rare cases does a 3NF table not meet the requirements off **BCNF**. + - These cases are when a table has more than one candidate key. + - Depending on the functional dependencies, a 3NF table with two or more overlapping candidate keys may or may not be in BCNF. + - If a table in 3NF **does not** have multiple overlapping candidate keys, then it is guaranteed to be in **BCNF**. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/OOP Modelling/2022-11-11T12_04_45.359Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/OOP Modelling/2022-11-11T12_04_45.359Z.Desktop.md new file mode 100644 index 00000000..794ed376 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/OOP Modelling/2022-11-11T12_04_45.359Z.Desktop.md @@ -0,0 +1,35 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Variables & Types]] +- **Next Topic:** [[Introduction to Inheritance]] +- **Relevant Slides:** ![Lecture-6__2022.pdf](../assets/Lecture-6_2022_1663835887381_0.pdf) ![Lecture-7__2022.pdf](../assets/Lecture-7_2022_1664439118886_0.pdf) ![Lecture-8__2022.pdf](../assets/Lecture-8_2022_1664528150319_0.pdf) +- +- # Modelling the Problem + - A major part of OOP is modelling the problem. + - The goal is to identify the **principle objects** in the problem domain, which we model as classes, the **responsibility** of each of these objects, and the **collaborations** between objects. + - The objective of OOP Modelling is to produce a simplified **class diagram**. + - **Classes** represent real-world entities. + - **Associations** represent collaborations between the entities. + - **Attributes** represent the data held about these entities. + - **Generalisation** can be used to simplify the structure of the model. + - What are **nouns** in OOP? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-20T02:53:27.410Z + card-last-reviewed:: 2022-10-08T22:53:27.411Z + card-last-score:: 5 + - **Nouns** are candidate objects in OOP. +- +- # OOP Principles + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:41:16.772Z + card-last-reviewed:: 2022-10-07T10:41:16.772Z + card-last-score:: 5 + - Consider the following principles when assigning responsibilities: + - An **Object** is responsible for its own data. + - An Object is responsibility for communicating its state. + - **Single Responsibility Principle:** Each **Class** should have a ^^single responsibility.^^ + - All its services should be aligned with that responsibility. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-09-30T08_54_51.906Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-09-30T08_54_51.906Z.Desktop.md new file mode 100644 index 00000000..31639835 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-09-30T08_54_51.906Z.Desktop.md @@ -0,0 +1,541 @@ +- #[[CT213 - Computer Systems & Organisation]] +- No previous topic. +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662828507609_0.pdf) +- +- ## Traditional Classes of Computer Systems + - What is a **Personal Computer (PC)**? + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-09-23T18:28:00.836Z + card-last-interval:: 4 + card-ease-factor:: 2.7 + card-last-reviewed:: 2022-09-19T18:28:00.836Z + - A **Personal Computer** is a computer designed for use by an individual, usually incorporating a graphics display, a keyboard, and a mouse. + - What is a **Server**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:51:19.171Z + card-last-reviewed:: 2022-09-18T14:51:19.172Z + card-last-score:: 3 + - A **server** is a computer used for running larger programs for multiple users, often simultaneously, and typically accessed only via a network. + - What is a **Supercomputer**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:20:18.972Z + card-last-reviewed:: 2022-09-18T15:20:18.973Z + card-last-score:: 5 + - A **supercomputer** is a member of a class of computers with the highest performance (and cost). They are configured as servers and typically cost tens to hundreds of millions of dollars. + - What is an **Embedded Computer**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:17:21.268Z + card-last-reviewed:: 2022-09-18T15:17:21.269Z + card-last-score:: 5 + - An **embedded computer** is a computer inside another device, used for running one predetermined application or collection of software. + - What are **Personal Mobile Devices**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:17:24.814Z + card-last-reviewed:: 2022-09-18T15:17:24.814Z + card-last-score:: 5 + - **Personal Mobile Devices** are small, wireless devices that connect to the internet. + - They rely on batteries for power, and software is installed by downloading apps. + - Conventional examples include smartphones and tablets. + - What is **Cloud Computing**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:16:02.669Z + card-last-reviewed:: 2022-09-18T15:16:02.669Z + card-last-score:: 5 + - **Cloud Computing** refers to large collections of servers that provide services over the internet. + - Some providers rent dynamically varying number of servers as a utility. + - What is **Software as a Service**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T17:42:30.362Z + card-last-reviewed:: 2022-09-19T17:42:30.363Z + card-last-score:: 5 + - **Software as a Service** delivers software & data as a service over the internet, usually via a thing program, such as a browser. + - Examples include web search & email. + - +- ## Computer Systems + collapsed:: true + - ![image.png](../assets/image_1662829382080_0.png){:height 410, :width 414} + - What is **Application Software**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:17:30.513Z + card-last-reviewed:: 2022-09-18T15:17:30.513Z + card-last-score:: 5 + - **Application Software** consists of user-installed applications & programs. + - Application Software provides services to the user that are commonly useful. + - What is the purpose of the **Operating System**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:16:09.752Z + card-last-reviewed:: 2022-09-18T15:16:09.753Z + card-last-score:: 5 + - The **Operating System** interfaces between a user's program and the hardware, provides a variety of services, and performs supervisory functions. + - What is the purpose of the **Hardware**? + - The **Hardware** performs the tasks. + - +- ## Seven Great Ideas in Computer Organisation + - ### 1. Use **Abstraction** to Simplify Design #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:25:18.076Z + card-last-reviewed:: 2022-09-19T18:25:18.076Z + card-last-score:: 5 + - A major productivity technique for hardware & software is to use **abstractions** to characterise the design at different levels of representation + - Lower-level details are hidden to offer a simpler model at higher levels. + - ### 2. Make the **Common Case** Fast #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:16:44.377Z + card-last-reviewed:: 2022-09-18T15:16:44.378Z + card-last-score:: 5 + - Making the **common case fast** will tend to enhance performance better than optimising the rare case. + - The common case is often simpler than the rare case, and hence is usually easier to enhance. + - ### 3. Performance via **Parallelism** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:03:58.567Z + card-last-reviewed:: 2022-09-18T15:03:58.567Z + card-last-score:: 5 + - Involves speeding up performance by using designs that compute operations in **parallel**. + - ### 4. Performance via **Pipelining** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-21T20:52:29.657Z + card-last-reviewed:: 2022-09-17T20:52:29.657Z + card-last-score:: 5 + - **Performance via Pipelining** is a particular pattern of **parallelism** that is so prevalent in computer architecture that it merits its own name. + - ### 5. Performance via **Prediction** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:23:23.782Z + card-last-reviewed:: 2022-09-19T18:23:23.782Z + card-last-score:: 5 + - In some cases, it can be ^^faster on average to guess and start working^^ that to wait until you know for sure (assuming that the mechanism to recover from a misprediction is not too expensive, and your prediction is relatively accurate). + - ### 6. Hierarchy of Memories #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:18:36.340Z + card-last-reviewed:: 2022-09-18T15:18:36.341Z + card-last-score:: 5 + - Computer Architects have found that they can address conflicting demands with a **hierarchy of memories**. + - The ^^fastest, smallest, & most expensive memory per bit^^ is at the top of the hierarchy. + - The ^^slowest, largest, & cheapest per bit^^ is at the bottom of the hierarchy. + - ### 7. Dependability via **Redundancy** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:19:01.340Z + card-last-reviewed:: 2022-09-18T15:19:01.341Z + card-last-score:: 5 + - Since any physical device can fail, we make systems **dependable** by including ^^redundant components^^ that can take over when a failure occurs *and* help detect failures. + - +- ## Hardware Organisation + - What does basic computer organisation look like? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:27:44.250Z + card-last-reviewed:: 2022-09-19T18:27:44.250Z + card-last-score:: 5 + - ![image.png](../assets/image_1662830400492_0.png) + - What is an **integrated circuit**? #card + collapsed:: true + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-30T12:47:21.597Z + card-last-reviewed:: 2022-09-19T17:47:21.597Z + card-last-score:: 5 + - An **integrated circuit**, also called a **chip**, is a device combining dozens to millions of transistors. + - ### The CPU + collapsed:: true + - What is a **CPU**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:22:22.644Z + card-last-reviewed:: 2022-09-18T15:22:22.644Z + card-last-score:: 5 + - The **Central Processing Unit (CPU)**, also called the **processor**, is the ^^active part of the computer^^, which contains the datapath & control, and which adds numbers, tests numbers, signals I/O devices to activate, and so on. + - The CPU is ^^responsible for executing programs.^^ + - What are the steps that the CPU takes to process programs? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-22T14:58:32.353Z + card-last-reviewed:: 2022-09-18T14:58:32.353Z + card-last-score:: 3 + - **1. Fetch:** Retrieve an instruction from ^^program memory.^^ + - **2. Decode:** Break down the instruction into parts that have significance to specific sections of the CPU. + - **3. Execute:** Various portions of the CPU are connected to perform the desired operation. + - **4. Write Back:** Simply "writes back" the results of the execute step ^^if necessary.^^ + - ### CPU Organisation + - What does the **organisation** of the CPU look like? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-22T15:13:04.465Z + card-last-reviewed:: 2022-09-18T15:13:04.465Z + card-last-score:: 3 + - Processors are made up of: + - A **Control Unit** + - **Execution Unit(s)** + - A **Register File** + - ![image.png](../assets/image_1662830846361_0.png){:height 339, :width 418} + - + - #### Control Unit + - What does the **Control Unit** do? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:27:08.868Z + card-last-reviewed:: 2022-09-19T18:27:08.869Z + card-last-score:: 5 + - The **Control Unit** ^^controls the execution^^ of the instructions stored in main memory. + - It ^^retrieves & executes^^ them. + - What is the architecture of the control unit? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T20:02:39.216Z + card-last-reviewed:: 2022-09-14T20:02:39.217Z + card-last-score:: 3 + - The control unit contains a **fetch unit**, a **decode unit**, and an **execute unit**. + - It also contains two special registers: + - **Program Counter (PC):** keeps the address of the next instruction + - **Instruction Register (IR):** keeps the instruction being executed + - ![image.png](../assets/image_1662837864357_0.png){:height 266, :width 550} + - + - ### The Memory Subsystem + collapsed:: true + - How is the memory divided into storage locations? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:17:42.430Z + card-last-reviewed:: 2022-09-18T15:17:42.430Z + card-last-score:: 5 + - Memory is divided into a set of storage location which can hold data. + - Locations are numbered. + - Addresses are used to tell the memory which location the processor wants to access. + - What are the two hierarchies of memory? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:29:01.554Z + card-last-score:: 1 + - **1. Nonvolatile / ROM (Read Only Memory):** Read only memory. + - Used to store the BIOS and / or a *bootstrap* or *bootloader* program. + - **2. Volatile / RAM (Random Access Memory):** Read / Write memory. + - Also called **Primary Memory**. + - Used to hold the programs, operating system, and data required by the computer. + - #### Primary Memory + - How is primary memory connected to the CPU? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:06:00.776Z + card-last-reviewed:: 2022-09-19T18:06:00.777Z + card-last-score:: 5 + - **Primary Memory** is directly connected to the Central Processing Unit of the computer. + - It must be present for the CPU to function correctly. + - What are the three types of Primary Storage? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T15:10:32.299Z + card-last-score:: 1 + - **1. Processors Register:** + - Contains information that the CPU needs to carry out the current instruction. + - **2. Cache Memory:** + - A special type of internal memory used by many CPUs to increase their **throughput**. + - **3. Main Memory:** + - Contains the programs that are currently being run and the data that the programs are operating on. + - What is the **address width**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:21:24.382Z + card-last-reviewed:: 2022-09-18T15:21:24.382Z + card-last-score:: 5 + - The **address width** is the number of bits used to represent an address in memory. + - The **width** limits the amount of memory that a computer can access. + - Most computers use a **64 bit address**, which means that the maximum number of locations is $$ 2^{64} \approx 16 \text{ billion gigabytes}$$. + - What operations does the memory subsystem support? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:17:11.140Z + card-last-reviewed:: 2022-09-18T15:17:11.140Z + card-last-score:: 5 + - The memory subsystem supports two operations: + - **Load** (or read) + the address of the data location to be read. + - **Store** (or write) + the address of the location & the data to be written. + - How many bytes may the memory system read or write at a time? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:16:57.109Z + card-last-reviewed:: 2022-09-18T15:16:57.110Z + card-last-score:: 3 + - Read & Write operations ^^operate at the width of the system's data bus^^, usually 32 bit or 64 bit. + - How is a section of memory addressed? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:12:03.194Z + card-last-reviewed:: 2022-09-18T15:12:03.195Z + card-last-score:: 5 + - The address ^^contains only the address of the lowest byte^^, and a number of bytes to be read is specified, e.g., 4 bytes. + - #### Memory Alignment & Words of Data + - When the computer's **word size** is 4 bytes, the data to be read should be at a memory address which is ^^some multiple of four.^^ + - When this is not the case, e.g., the data starts at address 14 instead of 16, then the computer has to read two or more 4 byte chunks and do some calculation before the requested data has been read, or it may generate ^^an alignment fault.^^ + - Even though the previous data structure end is at, for example, address 13, the next data structure should start at address 16. Two **padding bytes** are inserted between the two data structures at addresses 14 & 15 to align the next data structure at address 16. + - ### The I/O Subsystem + - What are **input devices**? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:21:35.278Z + card-last-reviewed:: 2022-09-18T15:21:35.278Z + card-last-score:: 5 + - Anything that feeds data into the computer. + - What are **output devices**? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:16:34.930Z + card-last-reviewed:: 2022-09-18T15:16:34.931Z + card-last-score:: 5 + - Display / transmit information back to the user. + - What does the **I/O Subsystem** contain? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:21:46.984Z + card-last-reviewed:: 2022-09-19T18:21:46.985Z + card-last-score:: 5 + - The **I/O Subsystem** contains the devices that the computer uses to communicate with the outside world and to store data. + - How do I/O devices communicate with the processor? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:53:22.144Z + card-last-reviewed:: 2022-09-18T14:53:22.145Z + card-last-score:: 3 + - I/O devices usually communicate with the processor using the **I/O Bus**. + - PCs use the **PCI Express (Peripheral Component Interconnect Express)** bus for their I/O bus. + - The Operating System needs a **device driver** to access a given I/O device. + - What is a **device driver**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:11:51.628Z + card-last-reviewed:: 2022-09-18T15:11:51.628Z + card-last-score:: 5 + - A **device driver** is a program that allows the OS to control an I/O device. + - #### I/O Read / Write Operations + - The I/O read & write operations are similar to the memory read & write operations. + - How does the processor address I/O devices? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-28T14:48:48.247Z + card-last-reviewed:: 2022-09-19T17:48:48.248Z + card-last-score:: 3 + - A processor may use: + - **Memory-Mapped I/O:** when the address of the I/O device is in the **direct memory space**, and the ^^sequences to read/write data in the device are the same as the memory read/write sequences.^^ + - **Isolated I/O:** similar process to Memory-Mapped I/O, but the processor has a ^^second set of control signals to distinguish between a **memory access** and am **I/O access**.^^ + - What is **IO/M**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T15:11:25.751Z + card-last-score:: 1 + - **IO/M** is a **status signal** in **Isolated I/O** that denotes whether the read/write operation pertains to the memory or to the I/O subsystem. + - When the **signal is low** (IO/M = 0), i.e., IO/M is `true`, it denotes **memory-related operations**. + - When the **signal is high**, (IO/M = 1), i.e., IO/M is `false`, it denotes an **I/O operation**. + - + - + - +- ## Programs + - What are programs? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:13:13.990Z + card-last-reviewed:: 2022-09-18T15:13:13.990Z + card-last-score:: 5 + - Programs are ^^sequences of instructions^^ that tell the computer what to do. + - To the computer, a program is made out of a ^^sequence of numbers that represent individual operations.^^ + - These operations are known as **machine instructions** or just **instructions**. + - A set of instructions that a processor can execute is known as an **instruction set**. + - ### Program Development Tools + collapsed:: true + - What is a **high-level programming language**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:08:53.500Z + card-last-reviewed:: 2022-09-18T15:08:53.500Z + card-last-score:: 5 + - A **high-level programming language** is a ^^portable language^^ such as C that is ^^composed of words & algebraic notation^^ that can be translated by a compiler into **assembly language**. + - What is a **compiler**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:43:48.914Z + card-last-reviewed:: 2022-09-19T17:43:48.914Z + card-last-score:: 5 + - A **compiler** is a program that translates statements in a given high-level language into assembly language statements. + - What is an **assembler**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:10:09.892Z + card-last-reviewed:: 2022-09-18T15:10:09.892Z + card-last-score:: 5 + - An **assembler** is a program that translates symbolic, assembly language versions of instructions into the ^^binary version.^^ + - What is **Assembly Language**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-09-30T21:48:54.576Z + card-last-reviewed:: 2022-09-19T17:48:54.576Z + card-last-score:: 5 + - **Assembly Language** is a ^^symbolic representation^^ of **machine instructions**. + - What is **Machine Language**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:22:03.638Z + card-last-score:: 1 + - **Machine Language** is a ^^binary representation^^ of **machine instructions**. + - What is an **instruction**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:19:26.835Z + card-last-reviewed:: 2022-09-18T15:19:26.836Z + card-last-score:: 5 + - An **instruction** is a command that the computer hardware understands & obeys. + - +- ## Operating Systems + - What is an **Operating System**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:25:01.958Z + card-last-reviewed:: 2022-09-19T18:25:01.958Z + card-last-score:: 5 + - Possible definition: a program that runs on the computer that ^^knows about all the hardware^^ and usually ^^runs in privileged mode^^, having ^^access to physical resources that user programs can't control^^, and has the ^^ability to start & stop user programs.^^ + - The OS is responsible for managing the physical resources of complex systems, such as PCs, workstations, mainframe computers, etc. + - It is also responsible for ^^loading & executing programs^^ and ^^interfacing with the users.^^ + - Usually, there is no operating system for **small embedded systems**. + - Computers designed for one specific task. + - + - ### Multiprogramming + - What is **Multiprogramming**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:23:28.557Z + card-last-reviewed:: 2022-09-19T18:23:28.557Z + card-last-score:: 5 + - **Multiprogramming** is a technique that allows the system to ^^present the illusion that multiple programs are running on the computer simultaneously.^^ + - Many multiprogrammed computers are **multiuser**. + - They allow multiple users to be logged in at a time. + - How is multiprogramming achieved? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:19:07.150Z + card-last-reviewed:: 2022-09-18T15:19:07.151Z + card-last-score:: 5 + - Multiprogramming is achieved by ^^switching rapidly between programs.^^ + - How does the processor decide which process to execute next? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:20:14.106Z + card-last-reviewed:: 2022-09-18T15:20:14.106Z + card-last-score:: 5 + - **FCFS - First Come, First Served:** processes are moved to the CPU in the order in which they arrive. + - **SJN - Shortest Job Next:** looks at all processes in the **ready state** and dispatches the one with the smallest service time. + - **Round Robin:** distributes the processing time equitably among all ready processes. + - ### Context Switching + - What is a **Context Switch**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:10:00.458Z + card-last-reviewed:: 2022-09-18T15:10:00.458Z + card-last-score:: 5 + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor. + - This is a **context switch**. + - How does the OS go about a Context Switch? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-22T15:19:47.984Z + card-last-reviewed:: 2022-09-18T15:19:47.984Z + card-last-score:: 3 + - copies the current program register file into memory + - restores the contents of the next program's register file into the processor + - starts executing the next program + - From the program point of view, ^^no program can tell that a context switch has been performed.^^ + - ### Protection + - Three rules of Protection in multiprogrammed computers: #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-28T14:45:26.235Z + card-last-reviewed:: 2022-09-19T17:45:26.235Z + card-last-score:: 3 + - 1. The result of any program running on the multiprogram computer ^^must be the same as if the program was the only program running on the computer.^^ + - 2. Programs ^^must not be able to access other programs' data^^ and must be confident that their data will not be modified by other programs (for security and privacy). + - 3. Programs ^^must not interfere with other programs' use of I/O devices.^^ + - How is protection achieved? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:26:58.100Z + card-last-score:: 1 + - Protection is achieved by the ^^operating system having full control over the resources of the system (processor, memory, and I/O devices)^^ through: + - **Privileged Mode:** the operating system is the only one that can control the physical resources it executes in privileged mode. + - User programs execute in **user mode**. + - **Virtual Memory:** each program operates as if it were the only program on the computer, occupying a full set of the address space in its virtual space. + - The OS is *translating* memory addresses that the program references into physical addresses used by the memory system. + - +- +- **Next Topic:** [[Programming Models]] \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-09-30T10_01_42.357Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-09-30T10_01_42.357Z.Desktop.md new file mode 100644 index 00000000..31639835 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-09-30T10_01_42.357Z.Desktop.md @@ -0,0 +1,541 @@ +- #[[CT213 - Computer Systems & Organisation]] +- No previous topic. +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662828507609_0.pdf) +- +- ## Traditional Classes of Computer Systems + - What is a **Personal Computer (PC)**? + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-09-23T18:28:00.836Z + card-last-interval:: 4 + card-ease-factor:: 2.7 + card-last-reviewed:: 2022-09-19T18:28:00.836Z + - A **Personal Computer** is a computer designed for use by an individual, usually incorporating a graphics display, a keyboard, and a mouse. + - What is a **Server**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:51:19.171Z + card-last-reviewed:: 2022-09-18T14:51:19.172Z + card-last-score:: 3 + - A **server** is a computer used for running larger programs for multiple users, often simultaneously, and typically accessed only via a network. + - What is a **Supercomputer**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:20:18.972Z + card-last-reviewed:: 2022-09-18T15:20:18.973Z + card-last-score:: 5 + - A **supercomputer** is a member of a class of computers with the highest performance (and cost). They are configured as servers and typically cost tens to hundreds of millions of dollars. + - What is an **Embedded Computer**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:17:21.268Z + card-last-reviewed:: 2022-09-18T15:17:21.269Z + card-last-score:: 5 + - An **embedded computer** is a computer inside another device, used for running one predetermined application or collection of software. + - What are **Personal Mobile Devices**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:17:24.814Z + card-last-reviewed:: 2022-09-18T15:17:24.814Z + card-last-score:: 5 + - **Personal Mobile Devices** are small, wireless devices that connect to the internet. + - They rely on batteries for power, and software is installed by downloading apps. + - Conventional examples include smartphones and tablets. + - What is **Cloud Computing**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:16:02.669Z + card-last-reviewed:: 2022-09-18T15:16:02.669Z + card-last-score:: 5 + - **Cloud Computing** refers to large collections of servers that provide services over the internet. + - Some providers rent dynamically varying number of servers as a utility. + - What is **Software as a Service**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T17:42:30.362Z + card-last-reviewed:: 2022-09-19T17:42:30.363Z + card-last-score:: 5 + - **Software as a Service** delivers software & data as a service over the internet, usually via a thing program, such as a browser. + - Examples include web search & email. + - +- ## Computer Systems + collapsed:: true + - ![image.png](../assets/image_1662829382080_0.png){:height 410, :width 414} + - What is **Application Software**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:17:30.513Z + card-last-reviewed:: 2022-09-18T15:17:30.513Z + card-last-score:: 5 + - **Application Software** consists of user-installed applications & programs. + - Application Software provides services to the user that are commonly useful. + - What is the purpose of the **Operating System**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:16:09.752Z + card-last-reviewed:: 2022-09-18T15:16:09.753Z + card-last-score:: 5 + - The **Operating System** interfaces between a user's program and the hardware, provides a variety of services, and performs supervisory functions. + - What is the purpose of the **Hardware**? + - The **Hardware** performs the tasks. + - +- ## Seven Great Ideas in Computer Organisation + - ### 1. Use **Abstraction** to Simplify Design #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:25:18.076Z + card-last-reviewed:: 2022-09-19T18:25:18.076Z + card-last-score:: 5 + - A major productivity technique for hardware & software is to use **abstractions** to characterise the design at different levels of representation + - Lower-level details are hidden to offer a simpler model at higher levels. + - ### 2. Make the **Common Case** Fast #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:16:44.377Z + card-last-reviewed:: 2022-09-18T15:16:44.378Z + card-last-score:: 5 + - Making the **common case fast** will tend to enhance performance better than optimising the rare case. + - The common case is often simpler than the rare case, and hence is usually easier to enhance. + - ### 3. Performance via **Parallelism** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:03:58.567Z + card-last-reviewed:: 2022-09-18T15:03:58.567Z + card-last-score:: 5 + - Involves speeding up performance by using designs that compute operations in **parallel**. + - ### 4. Performance via **Pipelining** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-21T20:52:29.657Z + card-last-reviewed:: 2022-09-17T20:52:29.657Z + card-last-score:: 5 + - **Performance via Pipelining** is a particular pattern of **parallelism** that is so prevalent in computer architecture that it merits its own name. + - ### 5. Performance via **Prediction** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:23:23.782Z + card-last-reviewed:: 2022-09-19T18:23:23.782Z + card-last-score:: 5 + - In some cases, it can be ^^faster on average to guess and start working^^ that to wait until you know for sure (assuming that the mechanism to recover from a misprediction is not too expensive, and your prediction is relatively accurate). + - ### 6. Hierarchy of Memories #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:18:36.340Z + card-last-reviewed:: 2022-09-18T15:18:36.341Z + card-last-score:: 5 + - Computer Architects have found that they can address conflicting demands with a **hierarchy of memories**. + - The ^^fastest, smallest, & most expensive memory per bit^^ is at the top of the hierarchy. + - The ^^slowest, largest, & cheapest per bit^^ is at the bottom of the hierarchy. + - ### 7. Dependability via **Redundancy** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:19:01.340Z + card-last-reviewed:: 2022-09-18T15:19:01.341Z + card-last-score:: 5 + - Since any physical device can fail, we make systems **dependable** by including ^^redundant components^^ that can take over when a failure occurs *and* help detect failures. + - +- ## Hardware Organisation + - What does basic computer organisation look like? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:27:44.250Z + card-last-reviewed:: 2022-09-19T18:27:44.250Z + card-last-score:: 5 + - ![image.png](../assets/image_1662830400492_0.png) + - What is an **integrated circuit**? #card + collapsed:: true + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-30T12:47:21.597Z + card-last-reviewed:: 2022-09-19T17:47:21.597Z + card-last-score:: 5 + - An **integrated circuit**, also called a **chip**, is a device combining dozens to millions of transistors. + - ### The CPU + collapsed:: true + - What is a **CPU**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:22:22.644Z + card-last-reviewed:: 2022-09-18T15:22:22.644Z + card-last-score:: 5 + - The **Central Processing Unit (CPU)**, also called the **processor**, is the ^^active part of the computer^^, which contains the datapath & control, and which adds numbers, tests numbers, signals I/O devices to activate, and so on. + - The CPU is ^^responsible for executing programs.^^ + - What are the steps that the CPU takes to process programs? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-22T14:58:32.353Z + card-last-reviewed:: 2022-09-18T14:58:32.353Z + card-last-score:: 3 + - **1. Fetch:** Retrieve an instruction from ^^program memory.^^ + - **2. Decode:** Break down the instruction into parts that have significance to specific sections of the CPU. + - **3. Execute:** Various portions of the CPU are connected to perform the desired operation. + - **4. Write Back:** Simply "writes back" the results of the execute step ^^if necessary.^^ + - ### CPU Organisation + - What does the **organisation** of the CPU look like? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-22T15:13:04.465Z + card-last-reviewed:: 2022-09-18T15:13:04.465Z + card-last-score:: 3 + - Processors are made up of: + - A **Control Unit** + - **Execution Unit(s)** + - A **Register File** + - ![image.png](../assets/image_1662830846361_0.png){:height 339, :width 418} + - + - #### Control Unit + - What does the **Control Unit** do? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:27:08.868Z + card-last-reviewed:: 2022-09-19T18:27:08.869Z + card-last-score:: 5 + - The **Control Unit** ^^controls the execution^^ of the instructions stored in main memory. + - It ^^retrieves & executes^^ them. + - What is the architecture of the control unit? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T20:02:39.216Z + card-last-reviewed:: 2022-09-14T20:02:39.217Z + card-last-score:: 3 + - The control unit contains a **fetch unit**, a **decode unit**, and an **execute unit**. + - It also contains two special registers: + - **Program Counter (PC):** keeps the address of the next instruction + - **Instruction Register (IR):** keeps the instruction being executed + - ![image.png](../assets/image_1662837864357_0.png){:height 266, :width 550} + - + - ### The Memory Subsystem + collapsed:: true + - How is the memory divided into storage locations? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:17:42.430Z + card-last-reviewed:: 2022-09-18T15:17:42.430Z + card-last-score:: 5 + - Memory is divided into a set of storage location which can hold data. + - Locations are numbered. + - Addresses are used to tell the memory which location the processor wants to access. + - What are the two hierarchies of memory? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:29:01.554Z + card-last-score:: 1 + - **1. Nonvolatile / ROM (Read Only Memory):** Read only memory. + - Used to store the BIOS and / or a *bootstrap* or *bootloader* program. + - **2. Volatile / RAM (Random Access Memory):** Read / Write memory. + - Also called **Primary Memory**. + - Used to hold the programs, operating system, and data required by the computer. + - #### Primary Memory + - How is primary memory connected to the CPU? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:06:00.776Z + card-last-reviewed:: 2022-09-19T18:06:00.777Z + card-last-score:: 5 + - **Primary Memory** is directly connected to the Central Processing Unit of the computer. + - It must be present for the CPU to function correctly. + - What are the three types of Primary Storage? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T15:10:32.299Z + card-last-score:: 1 + - **1. Processors Register:** + - Contains information that the CPU needs to carry out the current instruction. + - **2. Cache Memory:** + - A special type of internal memory used by many CPUs to increase their **throughput**. + - **3. Main Memory:** + - Contains the programs that are currently being run and the data that the programs are operating on. + - What is the **address width**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:21:24.382Z + card-last-reviewed:: 2022-09-18T15:21:24.382Z + card-last-score:: 5 + - The **address width** is the number of bits used to represent an address in memory. + - The **width** limits the amount of memory that a computer can access. + - Most computers use a **64 bit address**, which means that the maximum number of locations is $$ 2^{64} \approx 16 \text{ billion gigabytes}$$. + - What operations does the memory subsystem support? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:17:11.140Z + card-last-reviewed:: 2022-09-18T15:17:11.140Z + card-last-score:: 5 + - The memory subsystem supports two operations: + - **Load** (or read) + the address of the data location to be read. + - **Store** (or write) + the address of the location & the data to be written. + - How many bytes may the memory system read or write at a time? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:16:57.109Z + card-last-reviewed:: 2022-09-18T15:16:57.110Z + card-last-score:: 3 + - Read & Write operations ^^operate at the width of the system's data bus^^, usually 32 bit or 64 bit. + - How is a section of memory addressed? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:12:03.194Z + card-last-reviewed:: 2022-09-18T15:12:03.195Z + card-last-score:: 5 + - The address ^^contains only the address of the lowest byte^^, and a number of bytes to be read is specified, e.g., 4 bytes. + - #### Memory Alignment & Words of Data + - When the computer's **word size** is 4 bytes, the data to be read should be at a memory address which is ^^some multiple of four.^^ + - When this is not the case, e.g., the data starts at address 14 instead of 16, then the computer has to read two or more 4 byte chunks and do some calculation before the requested data has been read, or it may generate ^^an alignment fault.^^ + - Even though the previous data structure end is at, for example, address 13, the next data structure should start at address 16. Two **padding bytes** are inserted between the two data structures at addresses 14 & 15 to align the next data structure at address 16. + - ### The I/O Subsystem + - What are **input devices**? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:21:35.278Z + card-last-reviewed:: 2022-09-18T15:21:35.278Z + card-last-score:: 5 + - Anything that feeds data into the computer. + - What are **output devices**? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:16:34.930Z + card-last-reviewed:: 2022-09-18T15:16:34.931Z + card-last-score:: 5 + - Display / transmit information back to the user. + - What does the **I/O Subsystem** contain? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:21:46.984Z + card-last-reviewed:: 2022-09-19T18:21:46.985Z + card-last-score:: 5 + - The **I/O Subsystem** contains the devices that the computer uses to communicate with the outside world and to store data. + - How do I/O devices communicate with the processor? #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:53:22.144Z + card-last-reviewed:: 2022-09-18T14:53:22.145Z + card-last-score:: 3 + - I/O devices usually communicate with the processor using the **I/O Bus**. + - PCs use the **PCI Express (Peripheral Component Interconnect Express)** bus for their I/O bus. + - The Operating System needs a **device driver** to access a given I/O device. + - What is a **device driver**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:11:51.628Z + card-last-reviewed:: 2022-09-18T15:11:51.628Z + card-last-score:: 5 + - A **device driver** is a program that allows the OS to control an I/O device. + - #### I/O Read / Write Operations + - The I/O read & write operations are similar to the memory read & write operations. + - How does the processor address I/O devices? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-28T14:48:48.247Z + card-last-reviewed:: 2022-09-19T17:48:48.248Z + card-last-score:: 3 + - A processor may use: + - **Memory-Mapped I/O:** when the address of the I/O device is in the **direct memory space**, and the ^^sequences to read/write data in the device are the same as the memory read/write sequences.^^ + - **Isolated I/O:** similar process to Memory-Mapped I/O, but the processor has a ^^second set of control signals to distinguish between a **memory access** and am **I/O access**.^^ + - What is **IO/M**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T15:11:25.751Z + card-last-score:: 1 + - **IO/M** is a **status signal** in **Isolated I/O** that denotes whether the read/write operation pertains to the memory or to the I/O subsystem. + - When the **signal is low** (IO/M = 0), i.e., IO/M is `true`, it denotes **memory-related operations**. + - When the **signal is high**, (IO/M = 1), i.e., IO/M is `false`, it denotes an **I/O operation**. + - + - + - +- ## Programs + - What are programs? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:13:13.990Z + card-last-reviewed:: 2022-09-18T15:13:13.990Z + card-last-score:: 5 + - Programs are ^^sequences of instructions^^ that tell the computer what to do. + - To the computer, a program is made out of a ^^sequence of numbers that represent individual operations.^^ + - These operations are known as **machine instructions** or just **instructions**. + - A set of instructions that a processor can execute is known as an **instruction set**. + - ### Program Development Tools + collapsed:: true + - What is a **high-level programming language**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:08:53.500Z + card-last-reviewed:: 2022-09-18T15:08:53.500Z + card-last-score:: 5 + - A **high-level programming language** is a ^^portable language^^ such as C that is ^^composed of words & algebraic notation^^ that can be translated by a compiler into **assembly language**. + - What is a **compiler**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:43:48.914Z + card-last-reviewed:: 2022-09-19T17:43:48.914Z + card-last-score:: 5 + - A **compiler** is a program that translates statements in a given high-level language into assembly language statements. + - What is an **assembler**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:10:09.892Z + card-last-reviewed:: 2022-09-18T15:10:09.892Z + card-last-score:: 5 + - An **assembler** is a program that translates symbolic, assembly language versions of instructions into the ^^binary version.^^ + - What is **Assembly Language**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-09-30T21:48:54.576Z + card-last-reviewed:: 2022-09-19T17:48:54.576Z + card-last-score:: 5 + - **Assembly Language** is a ^^symbolic representation^^ of **machine instructions**. + - What is **Machine Language**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:22:03.638Z + card-last-score:: 1 + - **Machine Language** is a ^^binary representation^^ of **machine instructions**. + - What is an **instruction**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:19:26.835Z + card-last-reviewed:: 2022-09-18T15:19:26.836Z + card-last-score:: 5 + - An **instruction** is a command that the computer hardware understands & obeys. + - +- ## Operating Systems + - What is an **Operating System**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:25:01.958Z + card-last-reviewed:: 2022-09-19T18:25:01.958Z + card-last-score:: 5 + - Possible definition: a program that runs on the computer that ^^knows about all the hardware^^ and usually ^^runs in privileged mode^^, having ^^access to physical resources that user programs can't control^^, and has the ^^ability to start & stop user programs.^^ + - The OS is responsible for managing the physical resources of complex systems, such as PCs, workstations, mainframe computers, etc. + - It is also responsible for ^^loading & executing programs^^ and ^^interfacing with the users.^^ + - Usually, there is no operating system for **small embedded systems**. + - Computers designed for one specific task. + - + - ### Multiprogramming + - What is **Multiprogramming**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:23:28.557Z + card-last-reviewed:: 2022-09-19T18:23:28.557Z + card-last-score:: 5 + - **Multiprogramming** is a technique that allows the system to ^^present the illusion that multiple programs are running on the computer simultaneously.^^ + - Many multiprogrammed computers are **multiuser**. + - They allow multiple users to be logged in at a time. + - How is multiprogramming achieved? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:19:07.150Z + card-last-reviewed:: 2022-09-18T15:19:07.151Z + card-last-score:: 5 + - Multiprogramming is achieved by ^^switching rapidly between programs.^^ + - How does the processor decide which process to execute next? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:20:14.106Z + card-last-reviewed:: 2022-09-18T15:20:14.106Z + card-last-score:: 5 + - **FCFS - First Come, First Served:** processes are moved to the CPU in the order in which they arrive. + - **SJN - Shortest Job Next:** looks at all processes in the **ready state** and dispatches the one with the smallest service time. + - **Round Robin:** distributes the processing time equitably among all ready processes. + - ### Context Switching + - What is a **Context Switch**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:10:00.458Z + card-last-reviewed:: 2022-09-18T15:10:00.458Z + card-last-score:: 5 + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor. + - This is a **context switch**. + - How does the OS go about a Context Switch? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-22T15:19:47.984Z + card-last-reviewed:: 2022-09-18T15:19:47.984Z + card-last-score:: 3 + - copies the current program register file into memory + - restores the contents of the next program's register file into the processor + - starts executing the next program + - From the program point of view, ^^no program can tell that a context switch has been performed.^^ + - ### Protection + - Three rules of Protection in multiprogrammed computers: #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-28T14:45:26.235Z + card-last-reviewed:: 2022-09-19T17:45:26.235Z + card-last-score:: 3 + - 1. The result of any program running on the multiprogram computer ^^must be the same as if the program was the only program running on the computer.^^ + - 2. Programs ^^must not be able to access other programs' data^^ and must be confident that their data will not be modified by other programs (for security and privacy). + - 3. Programs ^^must not interfere with other programs' use of I/O devices.^^ + - How is protection achieved? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:26:58.100Z + card-last-score:: 1 + - Protection is achieved by the ^^operating system having full control over the resources of the system (processor, memory, and I/O devices)^^ through: + - **Privileged Mode:** the operating system is the only one that can control the physical resources it executes in privileged mode. + - User programs execute in **user mode**. + - **Virtual Memory:** each program operates as if it were the only program on the computer, occupying a full set of the address space in its virtual space. + - The OS is *translating* memory addresses that the program references into physical addresses used by the memory system. + - +- +- **Next Topic:** [[Programming Models]] \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-10-07T08_33_33.353Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-10-07T08_33_33.353Z.Desktop.md new file mode 100644 index 00000000..b6eeecf1 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-10-07T08_33_33.353Z.Desktop.md @@ -0,0 +1,541 @@ +- #[[CT213 - Computer Systems & Organisation]] +- No previous topic. +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662828507609_0.pdf) +- +- ## Traditional Classes of Computer Systems + - What is a **Personal Computer (PC)**? + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-09-23T18:28:00.836Z + card-last-interval:: 4 + card-ease-factor:: 2.7 + card-last-reviewed:: 2022-09-19T18:28:00.836Z + - A **Personal Computer** is a computer designed for use by an individual, usually incorporating a graphics display, a keyboard, and a mouse. + - What is a **Server**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T05:29:45.315Z + card-last-reviewed:: 2022-09-30T08:29:45.315Z + card-last-score:: 3 + - A **server** is a computer used for running larger programs for multiple users, often simultaneously, and typically accessed only via a network. + - What is a **Supercomputer**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:52.646Z + card-last-reviewed:: 2022-10-03T11:37:52.647Z + card-last-score:: 5 + - A **supercomputer** is a member of a class of computers with the highest performance (and cost). They are configured as servers and typically cost tens to hundreds of millions of dollars. + - What is an **Embedded Computer**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:30:37.659Z + card-last-reviewed:: 2022-10-01T17:30:37.659Z + card-last-score:: 5 + - An **embedded computer** is a computer inside another device, used for running one predetermined application or collection of software. + - What are **Personal Mobile Devices**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:31:08.211Z + card-last-reviewed:: 2022-10-01T17:31:08.211Z + card-last-score:: 5 + - **Personal Mobile Devices** are small, wireless devices that connect to the internet. + - They rely on batteries for power, and software is installed by downloading apps. + - Conventional examples include smartphones and tablets. + - What is **Cloud Computing**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:28:27.277Z + card-last-reviewed:: 2022-10-01T17:28:27.278Z + card-last-score:: 5 + - **Cloud Computing** refers to large collections of servers that provide services over the internet. + - Some providers rent dynamically varying number of servers as a utility. + - What is **Software as a Service**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:42:21.001Z + card-last-reviewed:: 2022-10-03T11:42:21.001Z + card-last-score:: 5 + - **Software as a Service** delivers software & data as a service over the internet, usually via a thing program, such as a browser. + - Examples include web search & email. + - +- ## Computer Systems + collapsed:: true + - ![image.png](../assets/image_1662829382080_0.png){:height 410, :width 414} + - What is **Application Software**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:31:12.546Z + card-last-reviewed:: 2022-10-01T17:31:12.546Z + card-last-score:: 5 + - **Application Software** consists of user-installed applications & programs. + - Application Software provides services to the user that are commonly useful. + - What is the purpose of the **Operating System**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-09T18:11:34.929Z + card-last-reviewed:: 2022-09-30T12:11:34.929Z + card-last-score:: 3 + - The **Operating System** interfaces between a user's program and the hardware, provides a variety of services, and performs supervisory functions. + - What is the purpose of the **Hardware**? + - The **Hardware** performs the tasks. + - +- ## Seven Great Ideas in Computer Organisation + - ### 1. Use **Abstraction** to Simplify Design #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:36.002Z + card-last-reviewed:: 2022-10-03T14:28:36.003Z + card-last-score:: 5 + - A major productivity technique for hardware & software is to use **abstractions** to characterise the design at different levels of representation + - Lower-level details are hidden to offer a simpler model at higher levels. + - ### 2. Make the **Common Case** Fast #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:29:14.556Z + card-last-reviewed:: 2022-10-01T17:29:14.557Z + card-last-score:: 5 + - Making the **common case fast** will tend to enhance performance better than optimising the rare case. + - The common case is often simpler than the rare case, and hence is usually easier to enhance. + - ### 3. Performance via **Parallelism** #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:16:13.241Z + card-last-reviewed:: 2022-09-30T12:16:13.242Z + card-last-score:: 3 + - Involves speeding up performance by using designs that compute operations in **parallel**. + - ### 4. Performance via **Pipelining** #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T04:28:23.981Z + card-last-reviewed:: 2022-09-30T09:28:23.982Z + card-last-score:: 5 + - **Performance via Pipelining** is a particular pattern of **parallelism** that is so prevalent in computer architecture that it merits its own name. + - ### 5. Performance via **Prediction** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:27:10.532Z + card-last-reviewed:: 2022-10-03T14:27:10.533Z + card-last-score:: 5 + - In some cases, it can be ^^faster on average to guess and start working^^ that to wait until you know for sure (assuming that the mechanism to recover from a misprediction is not too expensive, and your prediction is relatively accurate). + - ### 6. Hierarchy of Memories #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:35:13.824Z + card-last-reviewed:: 2022-10-01T17:35:13.824Z + card-last-score:: 3 + - Computer Architects have found that they can address conflicting demands with a **hierarchy of memories**. + - The ^^fastest, smallest, & most expensive memory per bit^^ is at the top of the hierarchy. + - The ^^slowest, largest, & cheapest per bit^^ is at the bottom of the hierarchy. + - ### 7. Dependability via **Redundancy** #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:35:28.794Z + card-last-reviewed:: 2022-10-01T17:35:28.794Z + card-last-score:: 5 + - Since any physical device can fail, we make systems **dependable** by including ^^redundant components^^ that can take over when a failure occurs *and* help detect failures. + - +- ## Hardware Organisation + - What does basic computer organisation look like? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:29:58.087Z + card-last-reviewed:: 2022-10-03T14:29:58.087Z + card-last-score:: 5 + - ![image.png](../assets/image_1662830400492_0.png) + - What is an **integrated circuit**? + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-04T20:17:29.178Z + card-last-reviewed:: 2022-10-04T12:17:29.178Z + card-last-score:: 5 + collapsed:: true + - An **integrated circuit**, also called a **chip**, is a device combining dozens to millions of transistors. + - ### The CPU + collapsed:: true + - What is a **CPU**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:40:13.962Z + card-last-reviewed:: 2022-10-03T11:40:13.962Z + card-last-score:: 5 + - The **Central Processing Unit (CPU)**, also called the **processor**, is the ^^active part of the computer^^, which contains the datapath & control, and which adds numbers, tests numbers, signals I/O devices to activate, and so on. + - The CPU is ^^responsible for executing programs.^^ + - What are the steps that the CPU takes to process programs? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-09T18:15:57.207Z + card-last-reviewed:: 2022-09-30T12:15:57.208Z + card-last-score:: 5 + - **1. Fetch:** Retrieve an instruction from ^^program memory.^^ + - **2. Decode:** Break down the instruction into parts that have significance to specific sections of the CPU. + - **3. Execute:** Various portions of the CPU are connected to perform the desired operation. + - **4. Write Back:** Simply "writes back" the results of the execute step ^^if necessary.^^ + - ### CPU Organisation + - What does the **organisation** of the CPU look like? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-09T20:25:22.675Z + card-last-reviewed:: 2022-10-01T13:25:22.675Z + card-last-score:: 3 + - Processors are made up of: + - A **Control Unit** + - **Execution Unit(s)** + - A **Register File** + - ![image.png](../assets/image_1662830846361_0.png){:height 339, :width 418} + - + - #### Control Unit + - What does the **Control Unit** do? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:29:08.350Z + card-last-reviewed:: 2022-10-03T14:29:08.350Z + card-last-score:: 3 + - The **Control Unit** ^^controls the execution^^ of the instructions stored in main memory. + - It ^^retrieves & executes^^ them. + - What is the architecture of the control unit? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T05:29:05.114Z + card-last-reviewed:: 2022-09-30T08:29:05.115Z + card-last-score:: 3 + - The control unit contains a **fetch unit**, a **decode unit**, and an **execute unit**. + - It also contains two special registers: + - **Program Counter (PC):** keeps the address of the next instruction + - **Instruction Register (IR):** keeps the instruction being executed + - ![image.png](../assets/image_1662837864357_0.png){:height 266, :width 550} + - + - ### The Memory Subsystem + collapsed:: true + - How is the memory divided into storage locations? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:34:12.415Z + card-last-reviewed:: 2022-10-01T17:34:12.416Z + card-last-score:: 5 + - Memory is divided into a set of storage location which can hold data. + - Locations are numbered. + - Addresses are used to tell the memory which location the processor wants to access. + - What are the two hierarchies of memory? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T09:22:16.754Z + card-last-score:: 1 + - **1. Nonvolatile / ROM (Read Only Memory):** Read only memory. + - Used to store the BIOS and / or a *bootstrap* or *bootloader* program. + - **2. Volatile / RAM (Random Access Memory):** Read / Write memory. + - Also called **Primary Memory**. + - Used to hold the programs, operating system, and data required by the computer. + - #### Primary Memory + - How is primary memory connected to the CPU? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:43:34.991Z + card-last-reviewed:: 2022-10-03T11:43:34.992Z + card-last-score:: 5 + - **Primary Memory** is directly connected to the Central Processing Unit of the computer. + - It must be present for the CPU to function correctly. + - What are the three types of Primary Storage? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-06T23:00:00.000Z + card-last-reviewed:: 2022-10-06T09:40:50.799Z + card-last-score:: 1 + - **1. Processor Register:** + - Contains information that the CPU needs to carry out the current instruction. + - **2. Cache Memory:** + - A special type of internal memory used by many CPUs to increase their **throughput**. + - **3. Main Memory:** + - Contains the programs that are currently being run and the data that the programs are operating on. + - What is the **address width**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T13:30:08.146Z + card-last-reviewed:: 2022-09-30T08:30:08.147Z + card-last-score:: 3 + - The **address width** is the number of bits used to represent an address in memory. + - The **width** limits the amount of memory that a computer can access. + - Most computers use a **64 bit address**, which means that the maximum number of locations is $$ 2^{64} \approx 16 \text{ billion gigabytes}$$. + - What operations does the memory subsystem support? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:30:33.402Z + card-last-reviewed:: 2022-10-01T17:30:33.403Z + card-last-score:: 5 + - The memory subsystem supports two operations: + - **Load** (or read) + the address of the data location to be read. + - **Store** (or write) + the address of the location & the data to be written. + - How many bytes may the memory system read or write at a time? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:29:45.960Z + card-last-reviewed:: 2022-10-01T17:29:45.960Z + card-last-score:: 5 + - Read & Write operations ^^operate at the width of the system's data bus^^, usually 32 bit or 64 bit. + - How is a section of memory addressed? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:24:14.775Z + card-last-reviewed:: 2022-10-01T13:24:14.776Z + card-last-score:: 5 + - The address ^^contains only the address of the lowest byte^^, and a number of bytes to be read is specified, e.g., 4 bytes. + - #### Memory Alignment & Words of Data + - When the computer's **word size** is 4 bytes, the data to be read should be at a memory address which is ^^some multiple of four.^^ + - When this is not the case, e.g., the data starts at address 14 instead of 16, then the computer has to read two or more 4 byte chunks and do some calculation before the requested data has been read, or it may generate ^^an alignment fault.^^ + - Even though the previous data structure end is at, for example, address 13, the next data structure should start at address 16. Two **padding bytes** are inserted between the two data structures at addresses 14 & 15 to align the next data structure at address 16. + - ### The I/O Subsystem + - What are **input devices**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:11:40.506Z + card-last-reviewed:: 2022-09-30T12:11:40.507Z + card-last-score:: 5 + - Anything that feeds data into the computer. + - What are **output devices**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:12:09.769Z + card-last-reviewed:: 2022-09-30T12:12:09.770Z + card-last-score:: 5 + - Display / transmit information back to the user. + - What does the **I/O Subsystem** contain? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:11:38.831Z + card-last-reviewed:: 2022-09-30T12:11:38.832Z + card-last-score:: 5 + - The **I/O Subsystem** contains the devices that the computer uses to communicate with the outside world and to store data. + - How do I/O devices communicate with the processor? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T12:14:49.335Z + card-last-score:: 1 + - I/O devices usually communicate with the processor using the **I/O Bus**. + - PCs use the **PCI Express (Peripheral Component Interconnect Express)** bus for their I/O bus. + - The Operating System needs a **device driver** to access a given I/O device. + - What is a **device driver**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:23:41.787Z + card-last-reviewed:: 2022-10-01T13:23:41.788Z + card-last-score:: 5 + - A **device driver** is a program that allows the OS to control an I/O device. + - #### I/O Read / Write Operations + - The I/O read & write operations are similar to the memory read & write operations. + - How does the processor address I/O devices? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-03T23:00:00.000Z + card-last-reviewed:: 2022-10-03T14:35:03.201Z + card-last-score:: 1 + - A processor may use: + - **Memory-Mapped I/O:** when the address of the I/O device is in the **direct memory space**, and the ^^sequences to read/write data in the device are the same as the memory read/write sequences.^^ + - **Isolated I/O:** similar process to Memory-Mapped I/O, but the processor has a ^^second set of control signals to distinguish between a **memory access** and am **I/O access**.^^ + - What is **IO/M**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-04T09:11:16.531Z + card-last-reviewed:: 2022-09-30T09:11:16.532Z + card-last-score:: 3 + - **IO/M** is a **status signal** in **Isolated I/O** that denotes whether the read/write operation pertains to the memory or to the I/O subsystem. + - When the **signal is low** (IO/M = 0), i.e., IO/M is `true`, it denotes **memory-related operations**. + - When the **signal is high**, (IO/M = 1), i.e., IO/M is `false`, it denotes an **I/O operation**. + - + - + - +- ## Programs + - What are programs? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T18:29:21.265Z + card-last-reviewed:: 2022-10-01T13:29:21.266Z + card-last-score:: 5 + - Programs are ^^sequences of instructions^^ that tell the computer what to do. + - To the computer, a program is made out of a ^^sequence of numbers that represent individual operations.^^ + - These operations are known as **machine instructions** or just **instructions**. + - A set of instructions that a processor can execute is known as an **instruction set**. + - ### Program Development Tools + collapsed:: true + - What is a **high-level programming language**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:17:29.873Z + card-last-reviewed:: 2022-10-01T13:17:29.874Z + card-last-score:: 5 + - A **high-level programming language** is a ^^portable language^^ such as C that is ^^composed of words & algebraic notation^^ that can be translated by a compiler into **assembly language**. + - What is a **compiler**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:12:39.064Z + card-last-reviewed:: 2022-09-30T12:12:39.064Z + card-last-score:: 5 + - A **compiler** is a program that translates statements in a given high-level language into assembly language statements. + - What is an **assembler**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:19:13.686Z + card-last-reviewed:: 2022-10-01T13:19:13.686Z + card-last-score:: 5 + - An **assembler** is a program that translates symbolic, assembly language versions of instructions into the ^^binary version.^^ + - What is **Assembly Language**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-07T03:25:47.210Z + card-last-reviewed:: 2022-10-04T12:25:47.210Z + card-last-score:: 5 + - **Assembly Language** is a ^^symbolic representation^^ of **machine instructions**. + - What is **Machine Language**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-04T09:26:52.257Z + card-last-reviewed:: 2022-09-30T09:26:52.258Z + card-last-score:: 3 + - **Machine Language** is a ^^binary representation^^ of **machine instructions**. + - What is an **instruction**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:20.118Z + card-last-reviewed:: 2022-10-03T11:37:20.118Z + card-last-score:: 5 + - An **instruction** is a command that the computer hardware understands & obeys. + - +- ## Operating Systems + - What is an **Operating System**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-03T23:00:00.000Z + card-last-reviewed:: 2022-10-03T14:28:14.754Z + card-last-score:: 1 + - Possible definition: a program that runs on the computer that ^^knows about all the hardware^^ and usually ^^runs in privileged mode^^, having ^^access to physical resources that user programs can't control^^, and has the ^^ability to start & stop user programs.^^ + - The OS is responsible for managing the physical resources of complex systems, such as PCs, workstations, mainframe computers, etc. + - It is also responsible for ^^loading & executing programs^^ and ^^interfacing with the users.^^ + - Usually, there is no operating system for **small embedded systems**. + - Computers designed for one specific task. + - + - ### Multiprogramming + - What is **Multiprogramming**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:10:38.026Z + card-last-reviewed:: 2022-09-30T12:10:38.027Z + card-last-score:: 3 + - **Multiprogramming** is a technique that allows the system to ^^present the illusion that multiple programs are running on the computer simultaneously.^^ + - Many multiprogrammed computers are **multiuser**. + - They allow multiple users to be logged in at a time. + - How is multiprogramming achieved? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:33.411Z + card-last-reviewed:: 2022-10-01T17:35:33.411Z + card-last-score:: 5 + - Multiprogramming is achieved by ^^switching rapidly between programs.^^ + - How does the processor decide which process to execute next? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:37:46.365Z + card-last-reviewed:: 2022-10-03T11:37:46.366Z + card-last-score:: 3 + - **FCFS - First Come, First Served:** processes are moved to the CPU in the order in which they arrive. + - **SJN - Shortest Job Next:** looks at all processes in the **ready state** and dispatches the one with the smallest service time. + - **Round Robin:** distributes the processing time equitably among all ready processes. + - ### Context Switching + - What is a **Context Switch**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-10T19:19:02.676Z + card-last-reviewed:: 2022-10-01T13:19:02.677Z + card-last-score:: 3 + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor. + - This is a **context switch**. + - How does the OS go about a Context Switch? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:37:36.618Z + card-last-reviewed:: 2022-10-03T11:37:36.618Z + card-last-score:: 3 + - copies the current program register file into memory + - restores the contents of the next program's register file into the processor + - starts executing the next program + - From the program point of view, ^^no program can tell that a context switch has been performed.^^ + - ### Protection + - Three rules of Protection in multiprogrammed computers: #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-20T21:34:44.306Z + card-last-reviewed:: 2022-10-03T14:34:44.306Z + card-last-score:: 3 + - 1. The result of any program running on the multiprogram computer ^^must be the same as if the program was the only program running on the computer.^^ + - 2. Programs ^^must not be able to access other programs' data^^ and must be confident that their data will not be modified by other programs (for security and privacy). + - 3. Programs ^^must not interfere with other programs' use of I/O devices.^^ + - How is protection achieved? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T09:24:47.114Z + card-last-score:: 1 + - Protection is achieved by the ^^operating system having full control over the resources of the system (processor, memory, and I/O devices)^^ through: + - **Privileged Mode:** the operating system is the only one that can control the physical resources it executes in privileged mode. + - User programs execute in **user mode**. + - **Virtual Memory:** each program operates as if it were the only program on the computer, occupying a full set of the address space in its virtual space. + - The OS is *translating* memory addresses that the program references into physical addresses used by the memory system. + - +- +- **Next Topic:** [[Programming Models]] \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-10-10T11_59_52.441Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-10-10T11_59_52.441Z.Desktop.md new file mode 100644 index 00000000..2e6cad7a --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-10-10T11_59_52.441Z.Desktop.md @@ -0,0 +1,541 @@ +- #[[CT213 - Computer Systems & Organisation]] +- No previous topic. +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662828507609_0.pdf) +- +- ## Traditional Classes of Computer Systems + - What is a **Personal Computer (PC)**? + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-09-23T18:28:00.836Z + card-last-interval:: 4 + card-ease-factor:: 2.7 + card-last-reviewed:: 2022-09-19T18:28:00.836Z + - A **Personal Computer** is a computer designed for use by an individual, usually incorporating a graphics display, a keyboard, and a mouse. + - What is a **Server**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T05:29:45.315Z + card-last-reviewed:: 2022-09-30T08:29:45.315Z + card-last-score:: 3 + - A **server** is a computer used for running larger programs for multiple users, often simultaneously, and typically accessed only via a network. + - What is a **Supercomputer**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:52.646Z + card-last-reviewed:: 2022-10-03T11:37:52.647Z + card-last-score:: 5 + - A **supercomputer** is a member of a class of computers with the highest performance (and cost). They are configured as servers and typically cost tens to hundreds of millions of dollars. + - What is an **Embedded Computer**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:30:37.659Z + card-last-reviewed:: 2022-10-01T17:30:37.659Z + card-last-score:: 5 + - An **embedded computer** is a computer inside another device, used for running one predetermined application or collection of software. + - What are **Personal Mobile Devices**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:31:08.211Z + card-last-reviewed:: 2022-10-01T17:31:08.211Z + card-last-score:: 5 + - **Personal Mobile Devices** are small, wireless devices that connect to the internet. + - They rely on batteries for power, and software is installed by downloading apps. + - Conventional examples include smartphones and tablets. + - What is **Cloud Computing**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:28:27.277Z + card-last-reviewed:: 2022-10-01T17:28:27.278Z + card-last-score:: 5 + - **Cloud Computing** refers to large collections of servers that provide services over the internet. + - Some providers rent dynamically varying number of servers as a utility. + - What is **Software as a Service**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:42:21.001Z + card-last-reviewed:: 2022-10-03T11:42:21.001Z + card-last-score:: 5 + - **Software as a Service** delivers software & data as a service over the internet, usually via a thing program, such as a browser. + - Examples include web search & email. + - +- ## Computer Systems + collapsed:: true + - ![image.png](../assets/image_1662829382080_0.png){:height 410, :width 414} + - What is **Application Software**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:31:12.546Z + card-last-reviewed:: 2022-10-01T17:31:12.546Z + card-last-score:: 5 + - **Application Software** consists of user-installed applications & programs. + - Application Software provides services to the user that are commonly useful. + - What is the purpose of the **Operating System**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-09T18:11:34.929Z + card-last-reviewed:: 2022-09-30T12:11:34.929Z + card-last-score:: 3 + - The **Operating System** interfaces between a user's program and the hardware, provides a variety of services, and performs supervisory functions. + - What is the purpose of the **Hardware**? + - The **Hardware** performs the tasks. + - +- ## Seven Great Ideas in Computer Organisation + - ### 1. Use **Abstraction** to Simplify Design #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:36.002Z + card-last-reviewed:: 2022-10-03T14:28:36.003Z + card-last-score:: 5 + - A major productivity technique for hardware & software is to use **abstractions** to characterise the design at different levels of representation + - Lower-level details are hidden to offer a simpler model at higher levels. + - ### 2. Make the **Common Case** Fast #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:29:14.556Z + card-last-reviewed:: 2022-10-01T17:29:14.557Z + card-last-score:: 5 + - Making the **common case fast** will tend to enhance performance better than optimising the rare case. + - The common case is often simpler than the rare case, and hence is usually easier to enhance. + - ### 3. Performance via **Parallelism** #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:16:13.241Z + card-last-reviewed:: 2022-09-30T12:16:13.242Z + card-last-score:: 3 + - Involves speeding up performance by using designs that compute operations in **parallel**. + - ### 4. Performance via **Pipelining** #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T04:28:23.981Z + card-last-reviewed:: 2022-09-30T09:28:23.982Z + card-last-score:: 5 + - **Performance via Pipelining** is a particular pattern of **parallelism** that is so prevalent in computer architecture that it merits its own name. + - ### 5. Performance via **Prediction** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:27:10.532Z + card-last-reviewed:: 2022-10-03T14:27:10.533Z + card-last-score:: 5 + - In some cases, it can be ^^faster on average to guess and start working^^ that to wait until you know for sure (assuming that the mechanism to recover from a misprediction is not too expensive, and your prediction is relatively accurate). + - ### 6. Hierarchy of Memories #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:35:13.824Z + card-last-reviewed:: 2022-10-01T17:35:13.824Z + card-last-score:: 3 + - Computer Architects have found that they can address conflicting demands with a **hierarchy of memories**. + - The ^^fastest, smallest, & most expensive memory per bit^^ is at the top of the hierarchy. + - The ^^slowest, largest, & cheapest per bit^^ is at the bottom of the hierarchy. + - ### 7. Dependability via **Redundancy** #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:35:28.794Z + card-last-reviewed:: 2022-10-01T17:35:28.794Z + card-last-score:: 5 + - Since any physical device can fail, we make systems **dependable** by including ^^redundant components^^ that can take over when a failure occurs *and* help detect failures. + - +- ## Hardware Organisation + - What does basic computer organisation look like? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:29:58.087Z + card-last-reviewed:: 2022-10-03T14:29:58.087Z + card-last-score:: 5 + - ![image.png](../assets/image_1662830400492_0.png) + - What is an **integrated circuit**? + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-04T20:17:29.178Z + card-last-reviewed:: 2022-10-04T12:17:29.178Z + card-last-score:: 5 + collapsed:: true + - An **integrated circuit**, also called a **chip**, is a device combining dozens to millions of transistors. + - ### The CPU + collapsed:: true + - What is a **CPU**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:40:13.962Z + card-last-reviewed:: 2022-10-03T11:40:13.962Z + card-last-score:: 5 + - The **Central Processing Unit (CPU)**, also called the **processor**, is the ^^active part of the computer^^, which contains the datapath & control, and which adds numbers, tests numbers, signals I/O devices to activate, and so on. + - The CPU is ^^responsible for executing programs.^^ + - What are the steps that the CPU takes to process programs? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-09T18:15:57.207Z + card-last-reviewed:: 2022-09-30T12:15:57.208Z + card-last-score:: 5 + - **1. Fetch:** Retrieve an instruction from ^^program memory.^^ + - **2. Decode:** Break down the instruction into parts that have significance to specific sections of the CPU. + - **3. Execute:** Various portions of the CPU are connected to perform the desired operation. + - **4. Write Back:** Simply "writes back" the results of the execute step ^^if necessary.^^ + - ### CPU Organisation + - What does the **organisation** of the CPU look like? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-09T20:25:22.675Z + card-last-reviewed:: 2022-10-01T13:25:22.675Z + card-last-score:: 3 + - Processors are made up of: + - A **Control Unit** + - **Execution Unit(s)** + - A **Register File** + - ![image.png](../assets/image_1662830846361_0.png){:height 339, :width 418} + - + - #### Control Unit + - What does the **Control Unit** do? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:29:08.350Z + card-last-reviewed:: 2022-10-03T14:29:08.350Z + card-last-score:: 3 + - The **Control Unit** ^^controls the execution^^ of the instructions stored in main memory. + - It ^^retrieves & executes^^ them. + - What is the architecture of the control unit? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T05:29:05.114Z + card-last-reviewed:: 2022-09-30T08:29:05.115Z + card-last-score:: 3 + - The control unit contains a **fetch unit**, a **decode unit**, and an **execute unit**. + - It also contains two special registers: + - **Program Counter (PC):** keeps the address of the next instruction + - **Instruction Register (IR):** keeps the instruction being executed + - ![image.png](../assets/image_1662837864357_0.png){:height 266, :width 550} + - + - ### The Memory Subsystem + collapsed:: true + - How is the memory divided into storage locations? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:34:12.415Z + card-last-reviewed:: 2022-10-01T17:34:12.416Z + card-last-score:: 5 + - Memory is divided into a set of storage location which can hold data. + - Locations are numbered. + - Addresses are used to tell the memory which location the processor wants to access. + - What are the two hierarchies of memory? #card + card-last-interval:: 3.33 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T22:24:15.552Z + card-last-reviewed:: 2022-10-08T15:24:15.553Z + card-last-score:: 5 + - **1. Nonvolatile / ROM (Read Only Memory):** Read only memory. + - Used to store the BIOS and / or a *bootstrap* or *bootloader* program. + - **2. Volatile / RAM (Random Access Memory):** Read / Write memory. + - Also called **Primary Memory**. + - Used to hold the programs, operating system, and data required by the computer. + - #### Primary Memory + - How is primary memory connected to the CPU? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:43:34.991Z + card-last-reviewed:: 2022-10-03T11:43:34.992Z + card-last-score:: 5 + - **Primary Memory** is directly connected to the Central Processing Unit of the computer. + - It must be present for the CPU to function correctly. + - What are the three types of Primary Storage? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T10:20:18.031Z + card-last-reviewed:: 2022-10-07T10:20:18.032Z + card-last-score:: 3 + - **1. Processor Register:** + - Contains information that the CPU needs to carry out the current instruction. + - **2. Cache Memory:** + - A special type of internal memory used by many CPUs to increase their **throughput**. + - **3. Main Memory:** + - Contains the programs that are currently being run and the data that the programs are operating on. + - What is the **address width**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T13:30:08.146Z + card-last-reviewed:: 2022-09-30T08:30:08.147Z + card-last-score:: 3 + - The **address width** is the number of bits used to represent an address in memory. + - The **width** limits the amount of memory that a computer can access. + - Most computers use a **64 bit address**, which means that the maximum number of locations is $$ 2^{64} \approx 16 \text{ billion gigabytes}$$. + - What operations does the memory subsystem support? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:30:33.402Z + card-last-reviewed:: 2022-10-01T17:30:33.403Z + card-last-score:: 5 + - The memory subsystem supports two operations: + - **Load** (or read) + the address of the data location to be read. + - **Store** (or write) + the address of the location & the data to be written. + - How many bytes may the memory system read or write at a time? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:29:45.960Z + card-last-reviewed:: 2022-10-01T17:29:45.960Z + card-last-score:: 5 + - Read & Write operations ^^operate at the width of the system's data bus^^, usually 32 bit or 64 bit. + - How is a section of memory addressed? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:24:14.775Z + card-last-reviewed:: 2022-10-01T13:24:14.776Z + card-last-score:: 5 + - The address ^^contains only the address of the lowest byte^^, and a number of bytes to be read is specified, e.g., 4 bytes. + - #### Memory Alignment & Words of Data + - When the computer's **word size** is 4 bytes, the data to be read should be at a memory address which is ^^some multiple of four.^^ + - When this is not the case, e.g., the data starts at address 14 instead of 16, then the computer has to read two or more 4 byte chunks and do some calculation before the requested data has been read, or it may generate ^^an alignment fault.^^ + - Even though the previous data structure end is at, for example, address 13, the next data structure should start at address 16. Two **padding bytes** are inserted between the two data structures at addresses 14 & 15 to align the next data structure at address 16. + - ### The I/O Subsystem + - What are **input devices**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:11:40.506Z + card-last-reviewed:: 2022-09-30T12:11:40.507Z + card-last-score:: 5 + - Anything that feeds data into the computer. + - What are **output devices**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:12:09.769Z + card-last-reviewed:: 2022-09-30T12:12:09.770Z + card-last-score:: 5 + - Display / transmit information back to the user. + - What does the **I/O Subsystem** contain? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:11:38.831Z + card-last-reviewed:: 2022-09-30T12:11:38.832Z + card-last-score:: 5 + - The **I/O Subsystem** contains the devices that the computer uses to communicate with the outside world and to store data. + - How do I/O devices communicate with the processor? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:20:26.377Z + card-last-score:: 1 + - I/O devices usually communicate with the processor using the **I/O Bus**. + - PCs use the **PCI Express (Peripheral Component Interconnect Express)** bus for their I/O bus. + - The Operating System needs a **device driver** to access a given I/O device. + - What is a **device driver**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:23:41.787Z + card-last-reviewed:: 2022-10-01T13:23:41.788Z + card-last-score:: 5 + - A **device driver** is a program that allows the OS to control an I/O device. + - #### I/O Read / Write Operations + - The I/O read & write operations are similar to the memory read & write operations. + - How does the processor address I/O devices? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-10T17:25:39.877Z + card-last-reviewed:: 2022-10-06T17:25:39.878Z + card-last-score:: 3 + - A processor may use: + - **Memory-Mapped I/O:** when the address of the I/O device is in the **direct memory space**, and the ^^sequences to read/write data in the device are the same as the memory read/write sequences.^^ + - **Isolated I/O:** similar process to Memory-Mapped I/O, but the processor has a ^^second set of control signals to distinguish between a **memory access** and am **I/O access**.^^ + - What is **IO/M**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-16T16:39:35.254Z + card-last-reviewed:: 2022-10-07T10:39:35.254Z + card-last-score:: 5 + - **IO/M** is a **status signal** in **Isolated I/O** that denotes whether the read/write operation pertains to the memory or to the I/O subsystem. + - When the **signal is low** (IO/M = 0), i.e., IO/M is `true`, it denotes **memory-related operations**. + - When the **signal is high**, (IO/M = 1), i.e., IO/M is `false`, it denotes an **I/O operation**. + - + - + - +- ## Programs + - What are programs? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T18:29:21.265Z + card-last-reviewed:: 2022-10-01T13:29:21.266Z + card-last-score:: 5 + - Programs are ^^sequences of instructions^^ that tell the computer what to do. + - To the computer, a program is made out of a ^^sequence of numbers that represent individual operations.^^ + - These operations are known as **machine instructions** or just **instructions**. + - A set of instructions that a processor can execute is known as an **instruction set**. + - ### Program Development Tools + collapsed:: true + - What is a **high-level programming language**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:17:29.873Z + card-last-reviewed:: 2022-10-01T13:17:29.874Z + card-last-score:: 5 + - A **high-level programming language** is a ^^portable language^^ such as C that is ^^composed of words & algebraic notation^^ that can be translated by a compiler into **assembly language**. + - What is a **compiler**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:12:39.064Z + card-last-reviewed:: 2022-09-30T12:12:39.064Z + card-last-score:: 5 + - A **compiler** is a program that translates statements in a given high-level language into assembly language statements. + - What is an **assembler**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:19:13.686Z + card-last-reviewed:: 2022-10-01T13:19:13.686Z + card-last-score:: 5 + - An **assembler** is a program that translates symbolic, assembly language versions of instructions into the ^^binary version.^^ + - What is **Assembly Language**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-07T03:25:47.210Z + card-last-reviewed:: 2022-10-04T12:25:47.210Z + card-last-score:: 5 + - **Assembly Language** is a ^^symbolic representation^^ of **machine instructions**. + - What is **Machine Language**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-16T16:39:57.935Z + card-last-reviewed:: 2022-10-07T10:39:57.935Z + card-last-score:: 3 + - **Machine Language** is a ^^binary representation^^ of **machine instructions**. + - What is an **instruction**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:20.118Z + card-last-reviewed:: 2022-10-03T11:37:20.118Z + card-last-score:: 5 + - An **instruction** is a command that the computer hardware understands & obeys. + - +- ## Operating Systems + - What is an **Operating System**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-11T10:38:21.429Z + card-last-reviewed:: 2022-10-07T10:38:21.431Z + card-last-score:: 3 + - Possible definition: a program that runs on the computer that ^^knows about all the hardware^^ and usually ^^runs in privileged mode^^, having ^^access to physical resources that user programs can't control^^, and has the ^^ability to start & stop user programs.^^ + - The OS is responsible for managing the physical resources of complex systems, such as PCs, workstations, mainframe computers, etc. + - It is also responsible for ^^loading & executing programs^^ and ^^interfacing with the users.^^ + - Usually, there is no operating system for **small embedded systems**. + - Computers designed for one specific task. + - + - ### Multiprogramming + - What is **Multiprogramming**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:10:38.026Z + card-last-reviewed:: 2022-09-30T12:10:38.027Z + card-last-score:: 3 + - **Multiprogramming** is a technique that allows the system to ^^present the illusion that multiple programs are running on the computer simultaneously.^^ + - Many multiprogrammed computers are **multiuser**. + - They allow multiple users to be logged in at a time. + - How is multiprogramming achieved? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:33.411Z + card-last-reviewed:: 2022-10-01T17:35:33.411Z + card-last-score:: 5 + - Multiprogramming is achieved by ^^switching rapidly between programs.^^ + - How does the processor decide which process to execute next? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:37:46.365Z + card-last-reviewed:: 2022-10-03T11:37:46.366Z + card-last-score:: 3 + - **FCFS - First Come, First Served:** processes are moved to the CPU in the order in which they arrive. + - **SJN - Shortest Job Next:** looks at all processes in the **ready state** and dispatches the one with the smallest service time. + - **Round Robin:** distributes the processing time equitably among all ready processes. + - ### Context Switching + - What is a **Context Switch**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-10T19:19:02.676Z + card-last-reviewed:: 2022-10-01T13:19:02.677Z + card-last-score:: 3 + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor. + - This is a **context switch**. + - How does the OS go about a Context Switch? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:37:36.618Z + card-last-reviewed:: 2022-10-03T11:37:36.618Z + card-last-score:: 3 + - copies the current program register file into memory + - restores the contents of the next program's register file into the processor + - starts executing the next program + - From the program point of view, ^^no program can tell that a context switch has been performed.^^ + - ### Protection + - Three rules of Protection in multiprogrammed computers: #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-20T21:34:44.306Z + card-last-reviewed:: 2022-10-03T14:34:44.306Z + card-last-score:: 3 + - 1. The result of any program running on the multiprogram computer ^^must be the same as if the program was the only program running on the computer.^^ + - 2. Programs ^^must not be able to access other programs' data^^ and must be confident that their data will not be modified by other programs (for security and privacy). + - 3. Programs ^^must not interfere with other programs' use of I/O devices.^^ + - How is protection achieved? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-15T17:20:10.955Z + card-last-reviewed:: 2022-10-07T10:20:10.955Z + card-last-score:: 3 + - Protection is achieved by the ^^operating system having full control over the resources of the system (processor, memory, and I/O devices)^^ through: + - **Privileged Mode:** the operating system is the only one that can control the physical resources it executes in privileged mode. + - User programs execute in **user mode**. + - **Virtual Memory:** each program operates as if it were the only program on the computer, occupying a full set of the address space in its virtual space. + - The OS is *translating* memory addresses that the program references into physical addresses used by the memory system. + - +- +- **Next Topic:** [[Programming Models]] \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-10-20T09_05_57.974Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-10-20T09_05_57.974Z.Desktop.md new file mode 100644 index 00000000..6c16c46f --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-10-20T09_05_57.974Z.Desktop.md @@ -0,0 +1,541 @@ +- #[[CT213 - Computer Systems & Organisation]] +- No previous topic. +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662828507609_0.pdf) +- +- ## Traditional Classes of Computer Systems + - What is a **Personal Computer (PC)**? + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-09-23T18:28:00.836Z + card-last-interval:: 4 + card-ease-factor:: 2.7 + card-last-reviewed:: 2022-09-19T18:28:00.836Z + - A **Personal Computer** is a computer designed for use by an individual, usually incorporating a graphics display, a keyboard, and a mouse. + - What is a **Server**? #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-27T18:42:38.737Z + card-last-reviewed:: 2022-10-10T11:42:38.738Z + card-last-score:: 3 + - A **server** is a computer used for running larger programs for multiple users, often simultaneously, and typically accessed only via a network. + - What is a **Supercomputer**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:52.646Z + card-last-reviewed:: 2022-10-03T11:37:52.647Z + card-last-score:: 5 + - A **supercomputer** is a member of a class of computers with the highest performance (and cost). They are configured as servers and typically cost tens to hundreds of millions of dollars. + - What is an **Embedded Computer**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:30:37.659Z + card-last-reviewed:: 2022-10-01T17:30:37.659Z + card-last-score:: 5 + - An **embedded computer** is a computer inside another device, used for running one predetermined application or collection of software. + - What are **Personal Mobile Devices**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:31:08.211Z + card-last-reviewed:: 2022-10-01T17:31:08.211Z + card-last-score:: 5 + - **Personal Mobile Devices** are small, wireless devices that connect to the internet. + - They rely on batteries for power, and software is installed by downloading apps. + - Conventional examples include smartphones and tablets. + - What is **Cloud Computing**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:28:27.277Z + card-last-reviewed:: 2022-10-01T17:28:27.278Z + card-last-score:: 5 + - **Cloud Computing** refers to large collections of servers that provide services over the internet. + - Some providers rent dynamically varying number of servers as a utility. + - What is **Software as a Service**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:42:21.001Z + card-last-reviewed:: 2022-10-03T11:42:21.001Z + card-last-score:: 5 + - **Software as a Service** delivers software & data as a service over the internet, usually via a thing program, such as a browser. + - Examples include web search & email. + - +- ## Computer Systems + collapsed:: true + - ![image.png](../assets/image_1662829382080_0.png){:height 410, :width 414} + - What is **Application Software**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:31:12.546Z + card-last-reviewed:: 2022-10-01T17:31:12.546Z + card-last-score:: 5 + - **Application Software** consists of user-installed applications & programs. + - Application Software provides services to the user that are commonly useful. + - What is the purpose of the **Operating System**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-02T21:44:58.883Z + card-last-reviewed:: 2022-10-10T11:44:58.883Z + card-last-score:: 5 + - The **Operating System** interfaces between a user's program and the hardware, provides a variety of services, and performs supervisory functions. + - What is the purpose of the **Hardware**? + - The **Hardware** performs the tasks. + - +- ## Seven Great Ideas in Computer Organisation + - ### 1. Use **Abstraction** to Simplify Design #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:36.002Z + card-last-reviewed:: 2022-10-03T14:28:36.003Z + card-last-score:: 5 + - A major productivity technique for hardware & software is to use **abstractions** to characterise the design at different levels of representation + - Lower-level details are hidden to offer a simpler model at higher levels. + - ### 2. Make the **Common Case** Fast #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:29:14.556Z + card-last-reviewed:: 2022-10-01T17:29:14.557Z + card-last-score:: 5 + - Making the **common case fast** will tend to enhance performance better than optimising the rare case. + - The common case is often simpler than the rare case, and hence is usually easier to enhance. + - ### 3. Performance via **Parallelism** #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:16:13.241Z + card-last-reviewed:: 2022-09-30T12:16:13.242Z + card-last-score:: 3 + - Involves speeding up performance by using designs that compute operations in **parallel**. + - ### 4. Performance via **Pipelining** #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T04:28:23.981Z + card-last-reviewed:: 2022-09-30T09:28:23.982Z + card-last-score:: 5 + - **Performance via Pipelining** is a particular pattern of **parallelism** that is so prevalent in computer architecture that it merits its own name. + - ### 5. Performance via **Prediction** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:27:10.532Z + card-last-reviewed:: 2022-10-03T14:27:10.533Z + card-last-score:: 5 + - In some cases, it can be ^^faster on average to guess and start working^^ that to wait until you know for sure (assuming that the mechanism to recover from a misprediction is not too expensive, and your prediction is relatively accurate). + - ### 6. Hierarchy of Memories #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:35:13.824Z + card-last-reviewed:: 2022-10-01T17:35:13.824Z + card-last-score:: 3 + - Computer Architects have found that they can address conflicting demands with a **hierarchy of memories**. + - The ^^fastest, smallest, & most expensive memory per bit^^ is at the top of the hierarchy. + - The ^^slowest, largest, & cheapest per bit^^ is at the bottom of the hierarchy. + - ### 7. Dependability via **Redundancy** #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:35:28.794Z + card-last-reviewed:: 2022-10-01T17:35:28.794Z + card-last-score:: 5 + - Since any physical device can fail, we make systems **dependable** by including ^^redundant components^^ that can take over when a failure occurs *and* help detect failures. + - +- ## Hardware Organisation + - What does basic computer organisation look like? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:29:58.087Z + card-last-reviewed:: 2022-10-03T14:29:58.087Z + card-last-score:: 5 + - ![image.png](../assets/image_1662830400492_0.png) + - What is an **integrated circuit**? + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-04T20:17:29.178Z + card-last-reviewed:: 2022-10-04T12:17:29.178Z + card-last-score:: 5 + collapsed:: true + - An **integrated circuit**, also called a **chip**, is a device combining dozens to millions of transistors. + - ### The CPU + collapsed:: true + - What is a **CPU**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:40:13.962Z + card-last-reviewed:: 2022-10-03T11:40:13.962Z + card-last-score:: 5 + - The **Central Processing Unit (CPU)**, also called the **processor**, is the ^^active part of the computer^^, which contains the datapath & control, and which adds numbers, tests numbers, signals I/O devices to activate, and so on. + - The CPU is ^^responsible for executing programs.^^ + - What are the steps that the CPU takes to process programs? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-02T21:45:06.768Z + card-last-reviewed:: 2022-10-10T11:45:06.768Z + card-last-score:: 5 + - **1. Fetch:** Retrieve an instruction from ^^program memory.^^ + - **2. Decode:** Break down the instruction into parts that have significance to specific sections of the CPU. + - **3. Execute:** Various portions of the CPU are connected to perform the desired operation. + - **4. Write Back:** Simply "writes back" the results of the execute step ^^if necessary.^^ + - ### CPU Organisation + - What does the **organisation** of the CPU look like? #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-10-25T12:45:53.286Z + card-last-reviewed:: 2022-10-10T11:45:53.286Z + card-last-score:: 3 + - Processors are made up of: + - A **Control Unit** + - **Execution Unit(s)** + - A **Register File** + - ![image.png](../assets/image_1662830846361_0.png){:height 339, :width 418} + - + - #### Control Unit + - What does the **Control Unit** do? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:29:08.350Z + card-last-reviewed:: 2022-10-03T14:29:08.350Z + card-last-score:: 3 + - The **Control Unit** ^^controls the execution^^ of the instructions stored in main memory. + - It ^^retrieves & executes^^ them. + - What is the architecture of the control unit? #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-27T18:42:33.523Z + card-last-reviewed:: 2022-10-10T11:42:33.524Z + card-last-score:: 3 + - The control unit contains a **fetch unit**, a **decode unit**, and an **execute unit**. + - It also contains two special registers: + - **Program Counter (PC):** keeps the address of the next instruction + - **Instruction Register (IR):** keeps the instruction being executed + - ![image.png](../assets/image_1662837864357_0.png){:height 266, :width 550} + - + - ### The Memory Subsystem + collapsed:: true + - How is the memory divided into storage locations? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:34:12.415Z + card-last-reviewed:: 2022-10-01T17:34:12.416Z + card-last-score:: 5 + - Memory is divided into a set of storage location which can hold data. + - Locations are numbered. + - Addresses are used to tell the memory which location the processor wants to access. + - What are the two hierarchies of memory? #card + card-last-interval:: 3.33 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T22:24:15.552Z + card-last-reviewed:: 2022-10-08T15:24:15.553Z + card-last-score:: 5 + - **1. Nonvolatile / ROM (Read Only Memory):** Read only memory. + - Used to store the BIOS and / or a *bootstrap* or *bootloader* program. + - **2. Volatile / RAM (Random Access Memory):** Read / Write memory. + - Also called **Primary Memory**. + - Used to hold the programs, operating system, and data required by the computer. + - #### Primary Memory + - How is primary memory connected to the CPU? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:43:34.991Z + card-last-reviewed:: 2022-10-03T11:43:34.992Z + card-last-score:: 5 + - **Primary Memory** is directly connected to the Central Processing Unit of the computer. + - It must be present for the CPU to function correctly. + - What are the three types of Primary Storage? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T10:20:18.031Z + card-last-reviewed:: 2022-10-07T10:20:18.032Z + card-last-score:: 3 + - **1. Processor Register:** + - Contains information that the CPU needs to carry out the current instruction. + - **2. Cache Memory:** + - A special type of internal memory used by many CPUs to increase their **throughput**. + - **3. Main Memory:** + - Contains the programs that are currently being run and the data that the programs are operating on. + - What is the **address width**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T13:30:08.146Z + card-last-reviewed:: 2022-09-30T08:30:08.147Z + card-last-score:: 3 + - The **address width** is the number of bits used to represent an address in memory. + - The **width** limits the amount of memory that a computer can access. + - Most computers use a **64 bit address**, which means that the maximum number of locations is $$ 2^{64} \approx 16 \text{ billion gigabytes}$$. + - What operations does the memory subsystem support? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:30:33.402Z + card-last-reviewed:: 2022-10-01T17:30:33.403Z + card-last-score:: 5 + - The memory subsystem supports two operations: + - **Load** (or read) + the address of the data location to be read. + - **Store** (or write) + the address of the location & the data to be written. + - How many bytes may the memory system read or write at a time? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:29:45.960Z + card-last-reviewed:: 2022-10-01T17:29:45.960Z + card-last-score:: 5 + - Read & Write operations ^^operate at the width of the system's data bus^^, usually 32 bit or 64 bit. + - How is a section of memory addressed? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:24:14.775Z + card-last-reviewed:: 2022-10-01T13:24:14.776Z + card-last-score:: 5 + - The address ^^contains only the address of the lowest byte^^, and a number of bytes to be read is specified, e.g., 4 bytes. + - #### Memory Alignment & Words of Data + - When the computer's **word size** is 4 bytes, the data to be read should be at a memory address which is ^^some multiple of four.^^ + - When this is not the case, e.g., the data starts at address 14 instead of 16, then the computer has to read two or more 4 byte chunks and do some calculation before the requested data has been read, or it may generate ^^an alignment fault.^^ + - Even though the previous data structure end is at, for example, address 13, the next data structure should start at address 16. Two **padding bytes** are inserted between the two data structures at addresses 14 & 15 to align the next data structure at address 16. + - ### The I/O Subsystem + - What are **input devices**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:11:40.506Z + card-last-reviewed:: 2022-09-30T12:11:40.507Z + card-last-score:: 5 + - Anything that feeds data into the computer. + - What are **output devices**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:12:09.769Z + card-last-reviewed:: 2022-09-30T12:12:09.770Z + card-last-score:: 5 + - Display / transmit information back to the user. + - What does the **I/O Subsystem** contain? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:11:38.831Z + card-last-reviewed:: 2022-09-30T12:11:38.832Z + card-last-score:: 5 + - The **I/O Subsystem** contains the devices that the computer uses to communicate with the outside world and to store data. + - How do I/O devices communicate with the processor? #card + collapsed:: true + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T21:36:17.677Z + card-last-reviewed:: 2022-10-10T11:36:17.677Z + card-last-score:: 5 + - I/O devices usually communicate with the processor using the **I/O Bus**. + - PCs use the **PCI Express (Peripheral Component Interconnect Express)** bus for their I/O bus. + - The Operating System needs a **device driver** to access a given I/O device. + - What is a **device driver**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:23:41.787Z + card-last-reviewed:: 2022-10-01T13:23:41.788Z + card-last-score:: 5 + - A **device driver** is a program that allows the OS to control an I/O device. + - #### I/O Read / Write Operations + - The I/O read & write operations are similar to the memory read & write operations. + - How does the processor address I/O devices? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-10T17:25:39.877Z + card-last-reviewed:: 2022-10-06T17:25:39.878Z + card-last-score:: 3 + - A processor may use: + - **Memory-Mapped I/O:** when the address of the I/O device is in the **direct memory space**, and the ^^sequences to read/write data in the device are the same as the memory read/write sequences.^^ + - **Isolated I/O:** similar process to Memory-Mapped I/O, but the processor has a ^^second set of control signals to distinguish between a **memory access** and am **I/O access**.^^ + - What is **IO/M**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-16T16:39:35.254Z + card-last-reviewed:: 2022-10-07T10:39:35.254Z + card-last-score:: 5 + - **IO/M** is a **status signal** in **Isolated I/O** that denotes whether the read/write operation pertains to the memory or to the I/O subsystem. + - When the **signal is low** (IO/M = 0), i.e., IO/M is `true`, it denotes **memory-related operations**. + - When the **signal is high**, (IO/M = 1), i.e., IO/M is `false`, it denotes an **I/O operation**. + - + - + - +- ## Programs + - What are programs? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T18:29:21.265Z + card-last-reviewed:: 2022-10-01T13:29:21.266Z + card-last-score:: 5 + - Programs are ^^sequences of instructions^^ that tell the computer what to do. + - To the computer, a program is made out of a ^^sequence of numbers that represent individual operations.^^ + - These operations are known as **machine instructions** or just **instructions**. + - A set of instructions that a processor can execute is known as an **instruction set**. + - ### Program Development Tools + collapsed:: true + - What is a **high-level programming language**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:17:29.873Z + card-last-reviewed:: 2022-10-01T13:17:29.874Z + card-last-score:: 5 + - A **high-level programming language** is a ^^portable language^^ such as C that is ^^composed of words & algebraic notation^^ that can be translated by a compiler into **assembly language**. + - What is a **compiler**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:12:39.064Z + card-last-reviewed:: 2022-09-30T12:12:39.064Z + card-last-score:: 5 + - A **compiler** is a program that translates statements in a given high-level language into assembly language statements. + - What is an **assembler**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:19:13.686Z + card-last-reviewed:: 2022-10-01T13:19:13.686Z + card-last-score:: 5 + - An **assembler** is a program that translates symbolic, assembly language versions of instructions into the ^^binary version.^^ + - What is **Assembly Language**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-07T03:25:47.210Z + card-last-reviewed:: 2022-10-04T12:25:47.210Z + card-last-score:: 5 + - **Assembly Language** is a ^^symbolic representation^^ of **machine instructions**. + - What is **Machine Language**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-16T16:39:57.935Z + card-last-reviewed:: 2022-10-07T10:39:57.935Z + card-last-score:: 3 + - **Machine Language** is a ^^binary representation^^ of **machine instructions**. + - What is an **instruction**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:20.118Z + card-last-reviewed:: 2022-10-03T11:37:20.118Z + card-last-score:: 5 + - An **instruction** is a command that the computer hardware understands & obeys. + - +- ## Operating Systems + - What is an **Operating System**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-11T10:38:21.429Z + card-last-reviewed:: 2022-10-07T10:38:21.431Z + card-last-score:: 3 + - Possible definition: a program that runs on the computer that ^^knows about all the hardware^^ and usually ^^runs in privileged mode^^, having ^^access to physical resources that user programs can't control^^, and has the ^^ability to start & stop user programs.^^ + - The OS is responsible for managing the physical resources of complex systems, such as PCs, workstations, mainframe computers, etc. + - It is also responsible for ^^loading & executing programs^^ and ^^interfacing with the users.^^ + - Usually, there is no operating system for **small embedded systems**. + - Computers designed for one specific task. + - + - ### Multiprogramming + - What is **Multiprogramming**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:10:38.026Z + card-last-reviewed:: 2022-09-30T12:10:38.027Z + card-last-score:: 3 + - **Multiprogramming** is a technique that allows the system to ^^present the illusion that multiple programs are running on the computer simultaneously.^^ + - Many multiprogrammed computers are **multiuser**. + - They allow multiple users to be logged in at a time. + - How is multiprogramming achieved? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:33.411Z + card-last-reviewed:: 2022-10-01T17:35:33.411Z + card-last-score:: 5 + - Multiprogramming is achieved by ^^switching rapidly between programs.^^ + - How does the processor decide which process to execute next? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:37:46.365Z + card-last-reviewed:: 2022-10-03T11:37:46.366Z + card-last-score:: 3 + - **FCFS - First Come, First Served:** processes are moved to the CPU in the order in which they arrive. + - **SJN - Shortest Job Next:** looks at all processes in the **ready state** and dispatches the one with the smallest service time. + - **Round Robin:** distributes the processing time equitably among all ready processes. + - ### Context Switching + - What is a **Context Switch**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-10T19:19:02.676Z + card-last-reviewed:: 2022-10-01T13:19:02.677Z + card-last-score:: 3 + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor. + - This is a **context switch**. + - How does the OS go about a Context Switch? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:37:36.618Z + card-last-reviewed:: 2022-10-03T11:37:36.618Z + card-last-score:: 3 + - copies the current program register file into memory + - restores the contents of the next program's register file into the processor + - starts executing the next program + - From the program point of view, ^^no program can tell that a context switch has been performed.^^ + - ### Protection + - Three rules of Protection in multiprogrammed computers: #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-20T21:34:44.306Z + card-last-reviewed:: 2022-10-03T14:34:44.306Z + card-last-score:: 3 + - 1. The result of any program running on the multiprogram computer ^^must be the same as if the program was the only program running on the computer.^^ + - 2. Programs ^^must not be able to access other programs' data^^ and must be confident that their data will not be modified by other programs (for security and privacy). + - 3. Programs ^^must not interfere with other programs' use of I/O devices.^^ + - How is protection achieved? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-15T17:20:10.955Z + card-last-reviewed:: 2022-10-07T10:20:10.955Z + card-last-score:: 3 + - Protection is achieved by the ^^operating system having full control over the resources of the system (processor, memory, and I/O devices)^^ through: + - **Privileged Mode:** the operating system is the only one that can control the physical resources it executes in privileged mode. + - User programs execute in **user mode**. + - **Virtual Memory:** each program operates as if it were the only program on the computer, occupying a full set of the address space in its virtual space. + - The OS is *translating* memory addresses that the program references into physical addresses used by the memory system. + - +- +- **Next Topic:** [[Programming Models]] \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-11-11T12_04_45.362Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-11-11T12_04_45.362Z.Desktop.md new file mode 100644 index 00000000..676c2c99 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Overview of Computer Systems/2022-11-11T12_04_45.362Z.Desktop.md @@ -0,0 +1,541 @@ +- #[[CT213 - Computer Systems & Organisation]] +- No previous topic. +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662828507609_0.pdf) +- +- ## Traditional Classes of Computer Systems + - What is a **Personal Computer (PC)**? + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-09-23T18:28:00.836Z + card-last-interval:: 4 + card-ease-factor:: 2.7 + card-last-reviewed:: 2022-09-19T18:28:00.836Z + - A **Personal Computer** is a computer designed for use by an individual, usually incorporating a graphics display, a keyboard, and a mouse. + - What is a **Server**? #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-27T18:42:38.737Z + card-last-reviewed:: 2022-10-10T11:42:38.738Z + card-last-score:: 3 + - A **server** is a computer used for running larger programs for multiple users, often simultaneously, and typically accessed only via a network. + - What is a **Supercomputer**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:52.646Z + card-last-reviewed:: 2022-10-03T11:37:52.647Z + card-last-score:: 5 + - A **supercomputer** is a member of a class of computers with the highest performance (and cost). They are configured as servers and typically cost tens to hundreds of millions of dollars. + - What is an **Embedded Computer**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:30:37.659Z + card-last-reviewed:: 2022-10-01T17:30:37.659Z + card-last-score:: 5 + - An **embedded computer** is a computer inside another device, used for running one predetermined application or collection of software. + - What are **Personal Mobile Devices**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:31:08.211Z + card-last-reviewed:: 2022-10-01T17:31:08.211Z + card-last-score:: 5 + - **Personal Mobile Devices** are small, wireless devices that connect to the internet. + - They rely on batteries for power, and software is installed by downloading apps. + - Conventional examples include smartphones and tablets. + - What is **Cloud Computing**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:28:27.277Z + card-last-reviewed:: 2022-10-01T17:28:27.278Z + card-last-score:: 5 + - **Cloud Computing** refers to large collections of servers that provide services over the internet. + - Some providers rent dynamically varying number of servers as a utility. + - What is **Software as a Service**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:42:21.001Z + card-last-reviewed:: 2022-10-03T11:42:21.001Z + card-last-score:: 5 + - **Software as a Service** delivers software & data as a service over the internet, usually via a thing program, such as a browser. + - Examples include web search & email. + - +- ## Computer Systems + collapsed:: true + - ![image.png](../assets/image_1662829382080_0.png){:height 410, :width 414} + - What is **Application Software**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:31:12.546Z + card-last-reviewed:: 2022-10-01T17:31:12.546Z + card-last-score:: 5 + - **Application Software** consists of user-installed applications & programs. + - Application Software provides services to the user that are commonly useful. + - What is the purpose of the **Operating System**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-02T21:44:58.883Z + card-last-reviewed:: 2022-10-10T11:44:58.883Z + card-last-score:: 5 + - The **Operating System** interfaces between a user's program and the hardware, provides a variety of services, and performs supervisory functions. + - What is the purpose of the **Hardware**? + - The **Hardware** performs the tasks. + - +- ## Seven Great Ideas in Computer Organisation + - ### 1. Use **Abstraction** to Simplify Design #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:36.002Z + card-last-reviewed:: 2022-10-03T14:28:36.003Z + card-last-score:: 5 + - A major productivity technique for hardware & software is to use **abstractions** to characterise the design at different levels of representation + - Lower-level details are hidden to offer a simpler model at higher levels. + - ### 2. Make the **Common Case** Fast #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:29:14.556Z + card-last-reviewed:: 2022-10-01T17:29:14.557Z + card-last-score:: 5 + - Making the **common case fast** will tend to enhance performance better than optimising the rare case. + - The common case is often simpler than the rare case, and hence is usually easier to enhance. + - ### 3. Performance via **Parallelism** #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:35:06.365Z + card-last-reviewed:: 2022-10-20T08:35:06.365Z + card-last-score:: 5 + - Involves speeding up performance by using designs that compute operations in **parallel**. + - ### 4. Performance via **Pipelining** #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T04:28:23.981Z + card-last-reviewed:: 2022-09-30T09:28:23.982Z + card-last-score:: 5 + - **Performance via Pipelining** is a particular pattern of **parallelism** that is so prevalent in computer architecture that it merits its own name. + - ### 5. Performance via **Prediction** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:27:10.532Z + card-last-reviewed:: 2022-10-03T14:27:10.533Z + card-last-score:: 5 + - In some cases, it can be ^^faster on average to guess and start working^^ that to wait until you know for sure (assuming that the mechanism to recover from a misprediction is not too expensive, and your prediction is relatively accurate). + - ### 6. Hierarchy of Memories #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:35:13.824Z + card-last-reviewed:: 2022-10-01T17:35:13.824Z + card-last-score:: 3 + - Computer Architects have found that they can address conflicting demands with a **hierarchy of memories**. + - The ^^fastest, smallest, & most expensive memory per bit^^ is at the top of the hierarchy. + - The ^^slowest, largest, & cheapest per bit^^ is at the bottom of the hierarchy. + - ### 7. Dependability via **Redundancy** #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:35:28.794Z + card-last-reviewed:: 2022-10-01T17:35:28.794Z + card-last-score:: 5 + - Since any physical device can fail, we make systems **dependable** by including ^^redundant components^^ that can take over when a failure occurs *and* help detect failures. + - +- ## Hardware Organisation + - What does basic computer organisation look like? #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-22T23:24:24.522Z + card-last-reviewed:: 2022-10-20T08:24:24.523Z + card-last-score:: 5 + - ![image.png](../assets/image_1662830400492_0.png) + - What is an **integrated circuit**? + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-04T20:17:29.178Z + card-last-reviewed:: 2022-10-04T12:17:29.178Z + card-last-score:: 5 + collapsed:: true + - An **integrated circuit**, also called a **chip**, is a device combining dozens to millions of transistors. + - ### The CPU + collapsed:: true + - What is a **CPU**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:40:13.962Z + card-last-reviewed:: 2022-10-03T11:40:13.962Z + card-last-score:: 5 + - The **Central Processing Unit (CPU)**, also called the **processor**, is the ^^active part of the computer^^, which contains the datapath & control, and which adds numbers, tests numbers, signals I/O devices to activate, and so on. + - The CPU is ^^responsible for executing programs.^^ + - What are the steps that the CPU takes to process programs? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-02T21:45:06.768Z + card-last-reviewed:: 2022-10-10T11:45:06.768Z + card-last-score:: 5 + - **1. Fetch:** Retrieve an instruction from ^^program memory.^^ + - **2. Decode:** Break down the instruction into parts that have significance to specific sections of the CPU. + - **3. Execute:** Various portions of the CPU are connected to perform the desired operation. + - **4. Write Back:** Simply "writes back" the results of the execute step ^^if necessary.^^ + - ### CPU Organisation + - What does the **organisation** of the CPU look like? #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-10-25T12:45:53.286Z + card-last-reviewed:: 2022-10-10T11:45:53.286Z + card-last-score:: 3 + - Processors are made up of: + - A **Control Unit** + - **Execution Unit(s)** + - A **Register File** + - ![image.png](../assets/image_1662830846361_0.png){:height 339, :width 418} + - + - #### Control Unit + - What does the **Control Unit** do? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:29:08.350Z + card-last-reviewed:: 2022-10-03T14:29:08.350Z + card-last-score:: 3 + - The **Control Unit** ^^controls the execution^^ of the instructions stored in main memory. + - It ^^retrieves & executes^^ them. + - What is the architecture of the control unit? #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-27T18:42:33.523Z + card-last-reviewed:: 2022-10-10T11:42:33.524Z + card-last-score:: 3 + - The control unit contains a **fetch unit**, a **decode unit**, and an **execute unit**. + - It also contains two special registers: + - **Program Counter (PC):** keeps the address of the next instruction + - **Instruction Register (IR):** keeps the instruction being executed + - ![image.png](../assets/image_1662837864357_0.png){:height 266, :width 550} + - + - ### The Memory Subsystem + collapsed:: true + - How is the memory divided into storage locations? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:34:12.415Z + card-last-reviewed:: 2022-10-01T17:34:12.416Z + card-last-score:: 5 + - Memory is divided into a set of storage location which can hold data. + - Locations are numbered. + - Addresses are used to tell the memory which location the processor wants to access. + - What are the two hierarchies of memory? #card + card-last-interval:: 3.33 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T22:24:15.552Z + card-last-reviewed:: 2022-10-08T15:24:15.553Z + card-last-score:: 5 + - **1. Nonvolatile / ROM (Read Only Memory):** Read only memory. + - Used to store the BIOS and / or a *bootstrap* or *bootloader* program. + - **2. Volatile / RAM (Random Access Memory):** Read / Write memory. + - Also called **Primary Memory**. + - Used to hold the programs, operating system, and data required by the computer. + - #### Primary Memory + - How is primary memory connected to the CPU? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:43:34.991Z + card-last-reviewed:: 2022-10-03T11:43:34.992Z + card-last-score:: 5 + - **Primary Memory** is directly connected to the Central Processing Unit of the computer. + - It must be present for the CPU to function correctly. + - What are the three types of Primary Storage? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T10:20:18.031Z + card-last-reviewed:: 2022-10-07T10:20:18.032Z + card-last-score:: 3 + - **1. Processor Register:** + - Contains information that the CPU needs to carry out the current instruction. + - **2. Cache Memory:** + - A special type of internal memory used by many CPUs to increase their **throughput**. + - **3. Main Memory:** + - Contains the programs that are currently being run and the data that the programs are operating on. + - What is the **address width**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-12T18:33:12.074Z + card-last-reviewed:: 2022-10-20T08:33:12.074Z + card-last-score:: 3 + - The **address width** is the number of bits used to represent an address in memory. + - The **width** limits the amount of memory that a computer can access. + - Most computers use a **64 bit address**, which means that the maximum number of locations is 2^{64} \approx 16 billion gigabytes. + - What operations does the memory subsystem support? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:30:33.402Z + card-last-reviewed:: 2022-10-01T17:30:33.403Z + card-last-score:: 5 + - The memory subsystem supports two operations: + - **Load** (or read) + the address of the data location to be read. + - **Store** (or write) + the address of the location & the data to be written. + - How many bytes may the memory system read or write at a time? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:29:45.960Z + card-last-reviewed:: 2022-10-01T17:29:45.960Z + card-last-score:: 5 + - Read & Write operations ^^operate at the width of the system's data bus^^, usually 32 bit or 64 bit. + - How is a section of memory addressed? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:24:14.775Z + card-last-reviewed:: 2022-10-01T13:24:14.776Z + card-last-score:: 5 + - The address ^^contains only the address of the lowest byte^^, and a number of bytes to be read is specified, e.g., 4 bytes. + - #### Memory Alignment & Words of Data + - When the computer's **word size** is 4 bytes, the data to be read should be at a memory address which is ^^some multiple of four.^^ + - When this is not the case, e.g., the data starts at address 14 instead of 16, then the computer has to read two or more 4 byte chunks and do some calculation before the requested data has been read, or it may generate ^^an alignment fault.^^ + - Even though the previous data structure end is at, for example, address 13, the next data structure should start at address 16. Two **padding bytes** are inserted between the two data structures at addresses 14 & 15 to align the next data structure at address 16. + - ### The I/O Subsystem + - What are **input devices**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:11:40.506Z + card-last-reviewed:: 2022-09-30T12:11:40.507Z + card-last-score:: 5 + - Anything that feeds data into the computer. + - What are **output devices**? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:12:09.769Z + card-last-reviewed:: 2022-09-30T12:12:09.770Z + card-last-score:: 5 + - Display / transmit information back to the user. + - What does the **I/O Subsystem** contain? #card + collapsed:: true + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:11:38.831Z + card-last-reviewed:: 2022-09-30T12:11:38.832Z + card-last-score:: 5 + - The **I/O Subsystem** contains the devices that the computer uses to communicate with the outside world and to store data. + - How do I/O devices communicate with the processor? #card + collapsed:: true + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T21:36:17.677Z + card-last-reviewed:: 2022-10-10T11:36:17.677Z + card-last-score:: 5 + - I/O devices usually communicate with the processor using the **I/O Bus**. + - PCs use the **PCI Express (Peripheral Component Interconnect Express)** bus for their I/O bus. + - The Operating System needs a **device driver** to access a given I/O device. + - What is a **device driver**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:23:41.787Z + card-last-reviewed:: 2022-10-01T13:23:41.788Z + card-last-score:: 5 + - A **device driver** is a program that allows the OS to control an I/O device. + - #### I/O Read / Write Operations + - The I/O read & write operations are similar to the memory read & write operations. + - How does the processor address I/O devices? #card + card-last-interval:: 7.76 + card-repeats:: 3 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-10-28T02:36:52.036Z + card-last-reviewed:: 2022-10-20T08:36:52.037Z + card-last-score:: 3 + - A processor may use: + - **Memory-Mapped I/O:** when the address of the I/O device is in the **direct memory space**, and the ^^sequences to read/write data in the device are the same as the memory read/write sequences.^^ + - **Isolated I/O:** similar process to Memory-Mapped I/O, but the processor has a ^^second set of control signals to distinguish between a **memory access** and am **I/O access**.^^ + - What is **IO/M**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-16T16:39:35.254Z + card-last-reviewed:: 2022-10-07T10:39:35.254Z + card-last-score:: 5 + - **IO/M** is a **status signal** in **Isolated I/O** that denotes whether the read/write operation pertains to the memory or to the I/O subsystem. + - When the **signal is low** (IO/M = 0), i.e., IO/M is `true`, it denotes **memory-related operations**. + - When the **signal is high**, (IO/M = 1), i.e., IO/M is `false`, it denotes an **I/O operation**. + - + - + - +- ## Programs + - What are programs? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T18:29:21.265Z + card-last-reviewed:: 2022-10-01T13:29:21.266Z + card-last-score:: 5 + - Programs are ^^sequences of instructions^^ that tell the computer what to do. + - To the computer, a program is made out of a ^^sequence of numbers that represent individual operations.^^ + - These operations are known as **machine instructions** or just **instructions**. + - A set of instructions that a processor can execute is known as an **instruction set**. + - ### Program Development Tools + collapsed:: true + - What is a **high-level programming language**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:17:29.873Z + card-last-reviewed:: 2022-10-01T13:17:29.874Z + card-last-score:: 5 + - A **high-level programming language** is a ^^portable language^^ such as C that is ^^composed of words & algebraic notation^^ that can be translated by a compiler into **assembly language**. + - What is a **compiler**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:12:39.064Z + card-last-reviewed:: 2022-09-30T12:12:39.064Z + card-last-score:: 5 + - A **compiler** is a program that translates statements in a given high-level language into assembly language statements. + - What is an **assembler**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:19:13.686Z + card-last-reviewed:: 2022-10-01T13:19:13.686Z + card-last-score:: 5 + - An **assembler** is a program that translates symbolic, assembly language versions of instructions into the ^^binary version.^^ + - What is **Assembly Language**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-07T03:25:47.210Z + card-last-reviewed:: 2022-10-04T12:25:47.210Z + card-last-score:: 5 + - **Assembly Language** is a ^^symbolic representation^^ of **machine instructions**. + - What is **Machine Language**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-16T16:39:57.935Z + card-last-reviewed:: 2022-10-07T10:39:57.935Z + card-last-score:: 3 + - **Machine Language** is a ^^binary representation^^ of **machine instructions**. + - What is an **instruction**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:20.118Z + card-last-reviewed:: 2022-10-03T11:37:20.118Z + card-last-score:: 5 + - An **instruction** is a command that the computer hardware understands & obeys. + - +- ## Operating Systems + - What is an **Operating System**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-11T10:38:21.429Z + card-last-reviewed:: 2022-10-07T10:38:21.431Z + card-last-score:: 3 + - Possible definition: a program that runs on the computer that ^^knows about all the hardware^^ and usually ^^runs in privileged mode^^, having ^^access to physical resources that user programs can't control^^, and has the ^^ability to start & stop user programs.^^ + - The OS is responsible for managing the physical resources of complex systems, such as PCs, workstations, mainframe computers, etc. + - It is also responsible for ^^loading & executing programs^^ and ^^interfacing with the users.^^ + - Usually, there is no operating system for **small embedded systems**. + - Computers designed for one specific task. + - + - ### Multiprogramming + - What is **Multiprogramming**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:33:42.952Z + card-last-reviewed:: 2022-10-20T08:33:42.952Z + card-last-score:: 5 + - **Multiprogramming** is a technique that allows the system to ^^present the illusion that multiple programs are running on the computer simultaneously.^^ + - Many multiprogrammed computers are **multiuser**. + - They allow multiple users to be logged in at a time. + - How is multiprogramming achieved? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:33.411Z + card-last-reviewed:: 2022-10-01T17:35:33.411Z + card-last-score:: 5 + - Multiprogramming is achieved by ^^switching rapidly between programs.^^ + - How does the processor decide which process to execute next? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:37:46.365Z + card-last-reviewed:: 2022-10-03T11:37:46.366Z + card-last-score:: 3 + - **FCFS - First Come, First Served:** processes are moved to the CPU in the order in which they arrive. + - **SJN - Shortest Job Next:** looks at all processes in the **ready state** and dispatches the one with the smallest service time. + - **Round Robin:** distributes the processing time equitably among all ready processes. + - ### Context Switching + - What is a **Context Switch**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-12T18:37:16.898Z + card-last-reviewed:: 2022-10-20T08:37:16.898Z + card-last-score:: 5 + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor. + - This is a **context switch**. + - How does the OS go about a Context Switch? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T18:37:36.618Z + card-last-reviewed:: 2022-10-03T11:37:36.618Z + card-last-score:: 3 + - copies the current program register file into memory + - restores the contents of the next program's register file into the processor + - starts executing the next program + - From the program point of view, ^^no program can tell that a context switch has been performed.^^ + - ### Protection + - Three rules of Protection in multiprogrammed computers: #card + card-last-interval:: 17.31 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-20T21:34:44.306Z + card-last-reviewed:: 2022-10-03T14:34:44.306Z + card-last-score:: 3 + - 1. The result of any program running on the multiprogram computer ^^must be the same as if the program was the only program running on the computer.^^ + - 2. Programs ^^must not be able to access other programs' data^^ and must be confident that their data will not be modified by other programs (for security and privacy). + - 3. Programs ^^must not interfere with other programs' use of I/O devices.^^ + - How is protection achieved? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-15T17:20:10.955Z + card-last-reviewed:: 2022-10-07T10:20:10.955Z + card-last-score:: 3 + - Protection is achieved by the ^^operating system having full control over the resources of the system (processor, memory, and I/O devices)^^ through: + - **Privileged Mode:** the operating system is the only one that can control the physical resources it executes in privileged mode. + - User programs execute in **user mode**. + - **Virtual Memory:** each program operates as if it were the only program on the computer, occupying a full set of the address space in its virtual space. + - The OS is *translating* memory addresses that the program references into physical addresses used by the memory system. + - +- +- **Next Topic:** [[Programming Models]] \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Principle of Inclusion-Exclusion/2022-09-30T08_54_51.910Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Principle of Inclusion-Exclusion/2022-09-30T08_54_51.910Z.Desktop.md new file mode 100644 index 00000000..435fb041 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Principle of Inclusion-Exclusion/2022-09-30T08_54_51.910Z.Desktop.md @@ -0,0 +1,70 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Counting]] +- **Next Topic:** +- **Relevant Slides:** ![Week02.pdf](../assets/Week02_1663097329077_0.pdf) +- +- (Aside) **Notation for Complement:** $A^C$ for some set $A$. +- ## Counting with Sets + - ### Additive Principle for Sets + - #### Additive Principle in terms of "events" + - If Event $A$ can occur $m$ ways, and Event $B$ can occur $n$ (disjoint / independent) ways, then event "$A$ *or* $B$" can occur in $m+n$ ways. + - But, an "event" can just be expressed as ^^selecting an element of a set.^^ + - Saying "Event $A$ can occur $m$ ways" is ^^the same^^ as saying "$|A|=m$". + - Saying "Event $B$ can occur $n$ ways is the same as saying "$|B|=n$". + - If events $A$ and $B$ are **disjoint** / independent, that means that $|A \cap B| = 0$, or, equivalently , $A \cap B = \emptyset$. + - + - What is the **Additive Principle for Sets**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T19:24:25.898Z + card-last-reviewed:: 2022-09-14T19:24:25.898Z + card-last-score:: 3 + - Given two sets $A$ and $B$ with $|A \cap B| = 0$, then: + - $$|A \cup B| = |A| + |B|$$ + - ### Multiplicative Principle for Sets + - What is the **Cartesian Product** of two sets? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-09-29T22:50:05.793Z + card-last-reviewed:: 2022-09-19T17:50:05.793Z + card-last-score:: 5 + - The **Cartesian Product** of two sets, $A$ and $B$ is: + - $$A \times B = \{(x,y) : x \in A \text{ and } y \in B \}$$ + - This is the set of pairs where the first term in each pair comes from $A$, **and** the second term in each pair comes from $B$. + - #### Multiplicative Principle in terms of "events" + - If event $A$ can occur $m$ ways, and each possibility allows for $B$ to occur in $n$ (disjoint) ways, then event "$A$ **and** $B$" can occur in $m \times n$ ways. + - What is the **Multiplicative Principle for Sets**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:34:12.562Z + card-last-reviewed:: 2022-09-19T18:34:12.563Z + card-last-score:: 5 + - Given two sets, $A$ and $B$: + - $$|A \times B| = |A| \cdot |B|$$ + - This extends to 3 or more sets in the obvious way. +- ## The Principle of Inclusion & Exclusion (PIE) + - What is the **Principle of Inclusion & Exclusion**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-30T12:18:17.188Z + card-last-reviewed:: 2022-09-26T12:18:17.188Z + card-last-score:: 5 + - For any two finite sets $A$ and $B$: + - $$|A \cup B| = |A| + |B| - |A \cap B|$$ + - This also extends to larger numbers of sets, for example: + - For any 3 finite sets $A$, $B$, and $C$: + - $$|A \cup B \cup C| = |A| + |B| + |C| - |A \cap B| - |A \cap C| - |B \cap C| + |A \cap B \cap C |$$ +- ## Subsets & Power Sets + - What is a **power set**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T17:49:45.527Z + card-last-reviewed:: 2022-09-19T17:49:45.527Z + card-last-score:: 5 + - The **power set** of a set $A$, denoted by $P(A)$, is the ^^set of all subsets^^ of $A$, ^^including the empty set^^ ($\emptyset$). + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Principle of Inclusion-Exclusion/2022-09-30T10_01_42.359Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Principle of Inclusion-Exclusion/2022-09-30T10_01_42.359Z.Desktop.md new file mode 100644 index 00000000..435fb041 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Principle of Inclusion-Exclusion/2022-09-30T10_01_42.359Z.Desktop.md @@ -0,0 +1,70 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Counting]] +- **Next Topic:** +- **Relevant Slides:** ![Week02.pdf](../assets/Week02_1663097329077_0.pdf) +- +- (Aside) **Notation for Complement:** $A^C$ for some set $A$. +- ## Counting with Sets + - ### Additive Principle for Sets + - #### Additive Principle in terms of "events" + - If Event $A$ can occur $m$ ways, and Event $B$ can occur $n$ (disjoint / independent) ways, then event "$A$ *or* $B$" can occur in $m+n$ ways. + - But, an "event" can just be expressed as ^^selecting an element of a set.^^ + - Saying "Event $A$ can occur $m$ ways" is ^^the same^^ as saying "$|A|=m$". + - Saying "Event $B$ can occur $n$ ways is the same as saying "$|B|=n$". + - If events $A$ and $B$ are **disjoint** / independent, that means that $|A \cap B| = 0$, or, equivalently , $A \cap B = \emptyset$. + - + - What is the **Additive Principle for Sets**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T19:24:25.898Z + card-last-reviewed:: 2022-09-14T19:24:25.898Z + card-last-score:: 3 + - Given two sets $A$ and $B$ with $|A \cap B| = 0$, then: + - $$|A \cup B| = |A| + |B|$$ + - ### Multiplicative Principle for Sets + - What is the **Cartesian Product** of two sets? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-09-29T22:50:05.793Z + card-last-reviewed:: 2022-09-19T17:50:05.793Z + card-last-score:: 5 + - The **Cartesian Product** of two sets, $A$ and $B$ is: + - $$A \times B = \{(x,y) : x \in A \text{ and } y \in B \}$$ + - This is the set of pairs where the first term in each pair comes from $A$, **and** the second term in each pair comes from $B$. + - #### Multiplicative Principle in terms of "events" + - If event $A$ can occur $m$ ways, and each possibility allows for $B$ to occur in $n$ (disjoint) ways, then event "$A$ **and** $B$" can occur in $m \times n$ ways. + - What is the **Multiplicative Principle for Sets**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:34:12.562Z + card-last-reviewed:: 2022-09-19T18:34:12.563Z + card-last-score:: 5 + - Given two sets, $A$ and $B$: + - $$|A \times B| = |A| \cdot |B|$$ + - This extends to 3 or more sets in the obvious way. +- ## The Principle of Inclusion & Exclusion (PIE) + - What is the **Principle of Inclusion & Exclusion**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-30T12:18:17.188Z + card-last-reviewed:: 2022-09-26T12:18:17.188Z + card-last-score:: 5 + - For any two finite sets $A$ and $B$: + - $$|A \cup B| = |A| + |B| - |A \cap B|$$ + - This also extends to larger numbers of sets, for example: + - For any 3 finite sets $A$, $B$, and $C$: + - $$|A \cup B \cup C| = |A| + |B| + |C| - |A \cap B| - |A \cap C| - |B \cap C| + |A \cap B \cap C |$$ +- ## Subsets & Power Sets + - What is a **power set**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T17:49:45.527Z + card-last-reviewed:: 2022-09-19T17:49:45.527Z + card-last-score:: 5 + - The **power set** of a set $A$, denoted by $P(A)$, is the ^^set of all subsets^^ of $A$, ^^including the empty set^^ ($\emptyset$). + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Probability/2022-10-07T08_33_33.355Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Probability/2022-10-07T08_33_33.355Z.Desktop.md new file mode 100644 index 00000000..89183ae6 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Probability/2022-10-07T08_33_33.355Z.Desktop.md @@ -0,0 +1,136 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Sampling]] +- **Next Topic:** [[Random Variables]] +- **Relevant Slides:** ![Topic 4 - Probability.pdf](../assets/Topic_4_-_Probability_1664204337770_0.pdf) +- +- Probability provides the *framework* for the study & application of statistics. +- # What are Probabilities? + - Take, for example, a 6-sided die about to be tossed for the first time. + - **Classical:** 6 possible outcomes, by symmetry, each equally likely to occur, + - **Frequentist:** Empirical evidence shows that similar dice thrown in the past have landed on each side about equally often. + - **Subjective:** The degree of individual belief in occurrence of an event can be influenced by classical or frequentist arguments. + - Subjective probabilities are also influenced by other reasons when symmetry arguments don't apply & repeated trials are not possible. +- +- # Probability + - The probability of an event $A$ is the number of (equally likely & disjoint) outcomes in the event divided by the total number of (equally likely & disjoint) possible outcomes. + - $$P(A) = \frac{\text{\# of outcomes in A}}{\text{\# of possible outcomes}}$$ + - $$(0 \leq P(A) \leq 1)$$ + - ## Sample Spaces + - What is a **sample space**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-03T08:36:59.497Z + card-last-reviewed:: 2022-09-29T08:36:59.498Z + card-last-score:: 5 + - The set of all possible outcomes of a random experiment is called the **sample space**, $S$. + - $S$ is **discrete** if it consists of a finite or countably infinite set of outcomes. + - $S$ is **continuous** if it contains an interval of real numbers. + - $$P(S) = 1$$ + - ## Events + - What is an **event**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T09:40:11.548Z + card-last-reviewed:: 2022-10-06T09:40:11.549Z + card-last-score:: 3 + - An **event** is a specific collection of sample points / possible outcomes. + - An event is denoted by $E$ or by capital letters, $A$, $B$, etc. + - What is a **SImple Event**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:11:11.353Z + card-last-score:: 1 + - A **Simple Event** is a collection of only **one** sample point / possible outcomes. + - What is a **Compound Event**? #card + card-last-interval:: 3.84 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-04T04:30:13.004Z + card-last-reviewed:: 2022-09-30T08:30:13.004Z + card-last-score:: 5 + - A **Compound Event** is a collection of **more than one** sample point / possible outcomes. + - ## Permuatations + - A **permutation** is an arrangement of objects. + - It can also be an arrangement of $r$ objects chosen from $n$ distinct objects where replacement in the selection is not allowed. + - The symbol, $P^n_r$ represents the number of permutations of $r$ objects selected from $n$ objects. + - The calculation is given by the formula: + - $$P^n_r = \frac{n!}{(n-r)!}$$ + - ## Joint Events (and / or) + - Probabilities of **joint events** can often be determined from the probabilities of the individual events that comprise them. + - Joint events are generated by applying basic set operations to individual events, specifically: + - **Complement** of event $A$ is $\bar{A} =$ all outcomes *not* in $A$. + - **Union** of events $A \cup B$; $A$ **or** $B$ or both. + - **Intersection** of events $A$ **and** $B$ -> $A \cap B$. + - **Disjoint** events cannot occur together -> $A \cap B = \empty$. + - +- ## Probability of a Union ($A$ **or** $B$) #card + card-last-interval:: 1.62 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-06T02:32:21.829Z + card-last-reviewed:: 2022-10-04T12:32:21.830Z + card-last-score:: 3 + - For any two events $A$ and $B$, the probability of union is given by: + - $$P(A \cup B) = P(A) + P(B) - P(A \cap B)$$ + - For two **disjoint** (also called **mutually exclusive**) events $A$ and $B$, the probability that one *or* the other occurs is the sum of the probabilities of the two events (provided that $A$ and $B$ are disjoint). + - $$P(A \cup B) = P(A) + P(B)$$ + - If $P(A \cup B)$ is greater than 1, then you know you have made a mistake and that the events were not mutually exclusive -> there is an intersection. +- ## Intersections ($A$ **and** $B$) + card-last-interval:: 3.51 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T00:26:58.336Z + card-last-reviewed:: 2022-10-04T12:26:58.337Z + card-last-score:: 5 + - #### Multiplication Rule for Independent Events #card + card-last-interval:: 3.84 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-04T04:37:30.498Z + card-last-reviewed:: 2022-09-30T08:37:30.499Z + card-last-score:: 5 + - For two **independent** events $A$ and $B$, the probability that *both* $A$ **and** $B$ occur is the product of the probabilities of the two events. + - $$P(A \cap B) = P(A) \times P(B)$$ + - If two events are **independent**, that means that one event has no impact on the probability of occurrence of the other event. +- ## Conditional Probability #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:31:44.517Z + card-last-score:: 1 + - $P(B | A)$ is the probability of event $B$ occurring, given that event $A$ has already occurred. + - The **conditional probability** of $B$ given $A$, denoted by $P(B | A)$, is defined by: + - $$P(B|A) = \frac{P(A \cap B)}{P(A)} \text{, provided } P(A) > 0$$ + - **Note:** $P(A)$ cannot equal 0, since we know that $A$ *has* occurred. + - ### General Multiplication Rule for Dependent Events + - The conditional probability can be rewritten to further generalise the multiplication rule: + - $$P(A \cap B) = P(A) \cdot P(B|A)$$ + - $$P(B \cap A) = P(B)B \cdot P(B|A)$$ + - $$\text{As } P(A \cap B) = P(B \cap A) \text{ implies}$$ + - $$P(A) \cdot P(B | A) = P(B) \cdot P(A |B)$$ + - These results mean that $P(A |B)$ can be calculated once we know $P(A)$, $P(B)$, and $P(B | A)$. + - #### Bayes' Theorem #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T09:45:39.727Z + card-last-score:: 1 + - **Bayes' Theorem** states that: + - $$P(A | B) = \frac{P(B | A) \cdot P(A)}{P(B)} \text{ for } P(B)>0$$ +- ## Independence + - Two events, $A$ and $B$ are independent, if and only if: + - $$P(A \cap B) = P(A)\cdot P(B)$$ + - Therefore, to obtain the probability that two independent events will occur, we simply find the product of their individual probabilities. + - Two events $A$ and $B$ are independent, if and only if: + - $$P(B | A) = P(B) \text{ or } P(A|B) = P(A)$$ + - assuming the existence of the conditional probabilities. + - Otherwise, $A$ and $B$ are **dependent**. + - If in an experiment, the events $A$ and $B$ can both occur, then: + - $$P(A \cap B) = P(A)P(B|A) \text{, provided } P(A) > 0$$ + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Probability/2022-10-10T11_59_52.444Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Probability/2022-10-10T11_59_52.444Z.Desktop.md new file mode 100644 index 00000000..871b923d --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Probability/2022-10-10T11_59_52.444Z.Desktop.md @@ -0,0 +1,149 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Sampling]] +- **Next Topic:** [[Random Variables]] +- **Relevant Slides:** ![Topic 4 - Probability.pdf](../assets/Topic_4_-_Probability_1664204337770_0.pdf) +- +- Probability provides the *framework* for the study & application of statistics. +- # What are Probabilities? + - Take, for example, a 6-sided die about to be tossed for the first time. + - **Classical:** 6 possible outcomes, by symmetry, each equally likely to occur, + - **Frequentist:** Empirical evidence shows that similar dice thrown in the past have landed on each side about equally often. + - **Subjective:** The degree of individual belief in occurrence of an event can be influenced by classical or frequentist arguments. + - Subjective probabilities are also influenced by other reasons when symmetry arguments don't apply & repeated trials are not possible. +- +- # Probability + - The probability of an event $A$ is the number of (equally likely & disjoint) outcomes in the event divided by the total number of (equally likely & disjoint) possible outcomes. + - $$P(A) = \frac{\text{\# of outcomes in A}}{\text{\# of possible outcomes}}$$ + - $$(0 \leq P(A) \leq 1)$$ + - ## Sample Spaces + - What is a **sample space**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-12T15:07:56.387Z + card-last-reviewed:: 2022-10-08T15:07:56.387Z + card-last-score:: 5 + - The set of all possible outcomes of a random experiment is called the **sample space**, $S$. + - $S$ is **discrete** if it consists of a finite or countably infinite set of outcomes. + - $S$ is **continuous** if it contains an interval of real numbers. + - $$P(S) = 1$$ + - ## Events + - What is an **event**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T09:40:11.548Z + card-last-reviewed:: 2022-10-06T09:40:11.549Z + card-last-score:: 3 + - An **event** is a specific collection of sample points / possible outcomes. + - An event is denoted by $E$ or by capital letters, $A$, $B$, etc. + - What is a **SImple Event**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-09T08:51:51.247Z + card-last-score:: 1 + - A **Simple Event** is a collection of only **one** sample point / possible outcomes. + - What is a **Compound Event**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T17:15:57.407Z + card-last-reviewed:: 2022-10-06T17:15:57.408Z + card-last-score:: 3 + - A **Compound Event** is a collection of **more than one** sample point / possible outcomes. + - ## Permuatations + - A **permutation** is an arrangement of objects. + - It can also be an arrangement of $r$ objects chosen from $n$ distinct objects where replacement in the selection is not allowed. + - The symbol, $P^n_r$ represents the number of permutations of $r$ objects selected from $n$ objects. + - The calculation is given by the formula: + - $$P^n_r = \frac{n!}{(n-r)!}$$ + - ## Joint Events (and / or) + - Probabilities of **joint events** can often be determined from the probabilities of the individual events that comprise them. + - Joint events are generated by applying basic set operations to individual events, specifically: + - **Complement** of event $A$ is $\bar{A} =$ all outcomes *not* in $A$. + - **Union** of events $A \cup B$; $A$ **or** $B$ or both. + - **Intersection** of events $A$ **and** $B$ -> $A \cap B$. + - **Disjoint** events cannot occur together -> $A \cap B = \empty$. + - +- ## Probability of a Union ($A$ **or** $B$) #card + card-last-interval:: 8.38 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-15T19:46:22.379Z + card-last-reviewed:: 2022-10-07T10:46:22.380Z + card-last-score:: 5 + - For any two events $A$ and $B$, the probability of union is given by: + - $$P(A \cup B) = P(A) + P(B) - P(A \cap B)$$ + - For two **disjoint** (also called **mutually exclusive**) events $A$ and $B$, the probability that one *or* the other occurs is the sum of the probabilities of the two events (provided that $A$ and $B$ are disjoint). + - $$P(A \cup B) = P(A) + P(B)$$ + - If $P(A \cup B)$ is greater than 1, then you know you have made a mistake and that the events were not mutually exclusive -> there is an intersection. +- ## Intersections ($A$ **and** $B$) + card-last-interval:: 3.51 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T00:26:58.336Z + card-last-reviewed:: 2022-10-04T12:26:58.337Z + card-last-score:: 5 + - #### Multiplication Rule for Independent Events #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-18T14:24:58.694Z + card-last-reviewed:: 2022-10-07T10:24:58.695Z + card-last-score:: 5 + - For two **independent** events $A$ and $B$, the probability that *both* $A$ **and** $B$ occur is the product of the probabilities of the two events. + - $$P(A \cap B) = P(A) \times P(B)$$ + - If two events are **independent**, that means that one event has no impact on the probability of occurrence of the other event. +- ## Conditional Probability + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-04T12:31:44.517Z + - What is **conditional probability**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:31:25.004Z + card-last-score:: 1 + - $P(B | A)$ is the probability of event $B$ occurring, given that event $A$ has already occurred. + - The **conditional probability** of $B$ given $A$, denoted by $P(B | A)$, is defined by: + - $$P(B|A) = \frac{P(A \cap B)}{P(A)} \text{, provided } P(A) > 0$$ + - **Note:** $P(A)$ cannot equal 0, since we know that $A$ *has* occurred. + - ### General Multiplication Rule for Dependent Events #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T09:57:45.051Z + card-last-reviewed:: 2022-10-08T14:57:45.052Z + card-last-score:: 5 + - The conditional probability can be rewritten to further generalise the multiplication rule: + - $$P(A \cap B) = P(A) \cdot P(B|A)$$ + - $$P(B \cap A) = P(B)B \cdot P(B|A)$$ + - $$\text{As } P(A \cap B) = P(B \cap A) \text{ implies}$$ + - $$P(A) \cdot P(B | A) = P(B) \cdot P(A |B)$$ + - These results mean that $P(A |B)$ can be calculated once we know $P(A)$, $P(B)$, and $P(B | A)$. + - #### Bayes' Theorem #card + card-last-interval:: 3.33 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T17:20:39.188Z + card-last-reviewed:: 2022-10-07T10:20:39.189Z + card-last-score:: 3 + - **Bayes' Theorem** states that: + - $$P(A | B) = \frac{P(B | A) \cdot P(A)}{P(B)} \text{ for } P(B)>0$$ +- ## Independence + - Two events, $A$ and $B$ are independent, if and only if: + - $$P(A \cap B) = P(A)\cdot P(B)$$ + - Therefore, to obtain the probability that two independent events will occur, we simply find the product of their individual probabilities. + - Two events $A$ and $B$ are independent, if and only if: + - $$P(B | A) = P(B) \text{ or } P(A|B) = P(A)$$ + - assuming the existence of the conditional probabilities. + - Otherwise, $A$ and $B$ are **dependent**. + - If in an experiment, the events $A$ and $B$ can both occur, then: + - $$P(A \cap B) = P(A)P(B|A) \text{, provided } P(A) > 0$$ + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Probability/2022-10-20T09_05_57.977Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Probability/2022-10-20T09_05_57.977Z.Desktop.md new file mode 100644 index 00000000..097b1666 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Probability/2022-10-20T09_05_57.977Z.Desktop.md @@ -0,0 +1,155 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Sampling]] +- **Next Topic:** [[Random Variables]] +- **Relevant Slides:** ![Topic 4 - Probability.pdf](../assets/Topic_4_-_Probability_1664204337770_0.pdf) +- +- Probability provides the *framework* for the study & application of statistics. +- # What are Probabilities? + - Take, for example, a 6-sided die about to be tossed for the first time. + - **Classical:** 6 possible outcomes, by symmetry, each equally likely to occur, + - **Frequentist:** Empirical evidence shows that similar dice thrown in the past have landed on each side about equally often. + - **Subjective:** The degree of individual belief in occurrence of an event can be influenced by classical or frequentist arguments. + - Subjective probabilities are also influenced by other reasons when symmetry arguments don't apply & repeated trials are not possible. +- +- # Probability + - The probability of an event $A$ is the number of (equally likely & disjoint) outcomes in the event divided by the total number of (equally likely & disjoint) possible outcomes. + - $$P(A) = \frac{\text{\# of outcomes in A}}{\text{\# of possible outcomes}}$$ + - $$(0 \leq P(A) \leq 1)$$ + - ## Sample Spaces + - What is a **sample space**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-12T15:07:56.387Z + card-last-reviewed:: 2022-10-08T15:07:56.387Z + card-last-score:: 5 + - The set of all possible outcomes of a random experiment is called the **sample space**, $S$. + - $S$ is **discrete** if it consists of a finite or countably infinite set of outcomes. + - $S$ is **continuous** if it contains an interval of real numbers. + - $$P(S) = 1$$ + - ## Events + - What is an **event**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T09:40:11.548Z + card-last-reviewed:: 2022-10-06T09:40:11.549Z + card-last-score:: 3 + - An **event** is a specific collection of sample points / possible outcomes. + - An event is denoted by $E$ or by capital letters, $A$, $B$, etc. + - What is a **SImple Event**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-09T08:51:51.247Z + card-last-score:: 1 + - A **Simple Event** is a collection of only **one** sample point / possible outcomes. + - What is a **Compound Event**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T17:15:57.407Z + card-last-reviewed:: 2022-10-06T17:15:57.408Z + card-last-score:: 3 + - A **Compound Event** is a collection of **more than one** sample point / possible outcomes. + - ## Permuatations + - A **permutation** is an arrangement of objects. + - It can also be an arrangement of $r$ objects chosen from $n$ distinct objects where replacement in the selection is not allowed. + - The symbol, $P^n_r$ represents the number of permutations of $r$ objects selected from $n$ objects. + - The calculation is given by the formula: + - $$P^n_r = \frac{n!}{(n-r)!}$$ + - ## Joint Events (and / or) + - Probabilities of **joint events** can often be determined from the probabilities of the individual events that comprise them. + - Joint events are generated by applying basic set operations to individual events, specifically: + - **Complement** of event $A$ is $\bar{A} =$ all outcomes *not* in $A$. + - **Union** of events $A \cup B$; $A$ **or** $B$ or both. + - **Intersection** of events $A$ **and** $B$ -> $A \cap B$. + - **Disjoint** events cannot occur together -> $A \cap B = \empty$. + - +- ## Probability of a Union ($A$ **or** $B$) #card + card-last-interval:: 8.38 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-15T19:46:22.379Z + card-last-reviewed:: 2022-10-07T10:46:22.380Z + card-last-score:: 5 + - For any two events $A$ and $B$, the probability of union is given by: + - $$P(A \cup B) = P(A) + P(B) - P(A \cap B)$$ + - For two **disjoint** (also called **mutually exclusive**) events $A$ and $B$, the probability that one *or* the other occurs is the sum of the probabilities of the two events (provided that $A$ and $B$ are disjoint). + - $$P(A \cup B) = P(A) + P(B)$$ + - If $P(A \cup B)$ is greater than 1, then you know you have made a mistake and that the events were not mutually exclusive -> there is an intersection. +- ## Intersections ($A$ **and** $B$) + card-last-interval:: 3.51 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T00:26:58.336Z + card-last-reviewed:: 2022-10-04T12:26:58.337Z + card-last-score:: 5 + - #### Multiplication Rule for Independent Events #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-18T14:24:58.694Z + card-last-reviewed:: 2022-10-07T10:24:58.695Z + card-last-score:: 5 + - For two **independent** events $A$ and $B$, the probability that *both* $A$ **and** $B$ occur is the product of the probabilities of the two events. + - $$P(A \cap B) = P(A) \times P(B)$$ + - If two events are **independent**, that means that one event has no impact on the probability of occurrence of the other event. +- ## Conditional Probability + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-04T12:31:44.517Z + - What is **conditional probability**? #card + card-last-interval:: 0.81 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-11T06:39:23.513Z + card-last-reviewed:: 2022-10-10T11:39:23.513Z + card-last-score:: 3 + - $P(B | A)$ is the probability of event $B$ occurring, given that event $A$ has already occurred. + - The **conditional probability** of $B$ given $A$, denoted by $P(B | A)$, is defined by: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:35:35.409Z + card-last-score:: 1 + - $$P(B|A) = \frac{P(A \cap B)}{P(A)} \text{, provided } P(A) > 0$$ + - **Note:** $P(A)$ cannot equal 0, since we know that $A$ *has* occurred. + - ### General Multiplication Rule for Dependent Events #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T09:57:45.051Z + card-last-reviewed:: 2022-10-08T14:57:45.052Z + card-last-score:: 5 + - The conditional probability can be rewritten to further generalise the multiplication rule: + - $$P(A \cap B) = P(A) \cdot P(B|A)$$ + - $$P(B \cap A) = P(B)B \cdot P(B|A)$$ + - $$\text{As } P(A \cap B) = P(B \cap A) \text{ implies}$$ + - $$P(A) \cdot P(B | A) = P(B) \cdot P(A |B)$$ + - These results mean that $P(A |B)$ can be calculated once we know $P(A)$, $P(B)$, and $P(B | A)$. + - #### Bayes' Theorem #card + card-last-interval:: 3.33 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T17:20:39.188Z + card-last-reviewed:: 2022-10-07T10:20:39.189Z + card-last-score:: 3 + - **Bayes' Theorem** states that: + - $$P(A | B) = \frac{P(B | A) \cdot P(A)}{P(B)} \text{ for } P(B)>0$$ +- ## Independence + - Two events, $A$ and $B$ are independent, if and only if: + - $$P(A \cap B) = P(A)\cdot P(B)$$ + - Therefore, to obtain the probability that two independent events will occur, we simply find the product of their individual probabilities. + - Two events $A$ and $B$ are independent, if and only if: + - $$P(B | A) = P(B) \text{ or } P(A|B) = P(A)$$ + - assuming the existence of the conditional probabilities. + - Otherwise, $A$ and $B$ are **dependent**. + - If in an experiment, the events $A$ and $B$ can both occur, then: + - $$P(A \cap B) = P(A)P(B|A) \text{, provided } P(A) > 0$$ + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Probability/2022-11-11T12_04_45.364Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Probability/2022-11-11T12_04_45.364Z.Desktop.md new file mode 100644 index 00000000..be5b6e39 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Probability/2022-11-11T12_04_45.364Z.Desktop.md @@ -0,0 +1,155 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Sampling]] +- **Next Topic:** [[Random Variables]] +- **Relevant Slides:** ![Topic 4 - Probability.pdf](../assets/Topic_4_-_Probability_1664204337770_0.pdf) +- +- Probability provides the *framework* for the study & application of statistics. +- # What are Probabilities? + - Take, for example, a 6-sided die about to be tossed for the first time. + - **Classical:** 6 possible outcomes, by symmetry, each equally likely to occur, + - **Frequentist:** Empirical evidence shows that similar dice thrown in the past have landed on each side about equally often. + - **Subjective:** The degree of individual belief in occurrence of an event can be influenced by classical or frequentist arguments. + - Subjective probabilities are also influenced by other reasons when symmetry arguments don't apply & repeated trials are not possible. +- +- # Probability + - The probability of an event $A$ is the number of (equally likely & disjoint) outcomes in the event divided by the total number of (equally likely & disjoint) possible outcomes. + - $$P(A) = \frac{\text{\# of outcomes in A}}{\text{\# of possible outcomes}}$$ + - $$(0 \leq P(A) \leq 1)$$ + - ## Sample Spaces + - What is a **sample space**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-12T15:07:56.387Z + card-last-reviewed:: 2022-10-08T15:07:56.387Z + card-last-score:: 5 + - The set of all possible outcomes of a random experiment is called the **sample space**, $S$. + - $S$ is **discrete** if it consists of a finite or countably infinite set of outcomes. + - $S$ is **continuous** if it contains an interval of real numbers. + - $$P(S) = 1$$ + - ## Events + - What is an **event**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:30:25.650Z + card-last-score:: 1 + - An **event** is a specific collection of sample points / possible outcomes. + - An event is denoted by $E$ or by capital letters, $A$, $B$, etc. + - What is a **SImple Event**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:28:43.077Z + card-last-score:: 1 + - A **Simple Event** is a collection of only **one** sample point / possible outcomes. + - What is a **Compound Event**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:34:49.368Z + card-last-score:: 1 + - A **Compound Event** is a collection of **more than one** sample point / possible outcomes. + - ## Permuatations + - A **permutation** is an arrangement of objects. + - It can also be an arrangement of $r$ objects chosen from $n$ distinct objects where replacement in the selection is not allowed. + - The symbol, $P^n_r$ represents the number of permutations of $r$ objects selected from $n$ objects. + - The calculation is given by the formula: + - $$P^n_r = \frac{n!}{(n-r)!}$$ + - ## Joint Events (and / or) + - Probabilities of **joint events** can often be determined from the probabilities of the individual events that comprise them. + - Joint events are generated by applying basic set operations to individual events, specifically: + - **Complement** of event $A$ is $\bar{A} =$ all outcomes *not* in $A$. + - **Union** of events $A \cup B$; $A$ **or** $B$ or both. + - **Intersection** of events $A$ **and** $B$ -> $A \cap B$. + - **Disjoint** events cannot occur together -> $A \cap B = \empty$. + - +- ## Probability of a Union ($A$ **or** $B$) #card + card-last-interval:: 8.38 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-15T19:46:22.379Z + card-last-reviewed:: 2022-10-07T10:46:22.380Z + card-last-score:: 5 + - For any two events $A$ and $B$, the probability of union is given by: + - $$P(A \cup B) = P(A) + P(B) - P(A \cap B)$$ + - For two **disjoint** (also called **mutually exclusive**) events $A$ and $B$, the probability that one *or* the other occurs is the sum of the probabilities of the two events (provided that $A$ and $B$ are disjoint). + - $$P(A \cup B) = P(A) + P(B)$$ + - If $P(A \cup B)$ is greater than 1, then you know you have made a mistake and that the events were not mutually exclusive -> there is an intersection. +- ## Intersections ($A$ **and** $B$) + card-last-interval:: 3.51 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T00:26:58.336Z + card-last-reviewed:: 2022-10-04T12:26:58.337Z + card-last-score:: 5 + - #### Multiplication Rule for Independent Events #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-18T14:24:58.694Z + card-last-reviewed:: 2022-10-07T10:24:58.695Z + card-last-score:: 5 + - For two **independent** events $A$ and $B$, the probability that *both* $A$ **and** $B$ occur is the product of the probabilities of the two events. + - $$P(A \cap B) = P(A) \times P(B)$$ + - If two events are **independent**, that means that one event has no impact on the probability of occurrence of the other event. +- ## Conditional Probability + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-04T12:31:44.517Z + - What is **conditional probability**? #card + card-last-interval:: 0.81 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-11T06:39:23.513Z + card-last-reviewed:: 2022-10-10T11:39:23.513Z + card-last-score:: 3 + - $P(B | A)$ is the probability of event $B$ occurring, given that event $A$ has already occurred. + - The **conditional probability** of $B$ given $A$, denoted by $P(B | A)$, is defined by: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:35:35.409Z + card-last-score:: 1 + - $$P(B|A) = \frac{P(A \cap B)}{P(A)} \text{, provided } P(A) > 0$$ + - **Note:** $P(A)$ cannot equal 0, since we know that $A$ *has* occurred. + - ### General Multiplication Rule for Dependent Events #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T09:57:45.051Z + card-last-reviewed:: 2022-10-08T14:57:45.052Z + card-last-score:: 5 + - The conditional probability can be rewritten to further generalise the multiplication rule: + - $$P(A \cap B) = P(A) \cdot P(B|A)$$ + - $$P(B \cap A) = P(B)B \cdot P(B|A)$$ + - $$\text{As } P(A \cap B) = P(B \cap A) \text{ implies}$$ + - $$P(A) \cdot P(B | A) = P(B) \cdot P(A |B)$$ + - These results mean that $P(A |B)$ can be calculated once we know $P(A)$, $P(B)$, and $P(B | A)$. + - #### Bayes' Theorem #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:36:28.145Z + card-last-score:: 1 + - **Bayes' Theorem** states that: + - $$P(A | B) = \frac{P(B | A) \cdot P(A)}{P(B)} \text{ for } P(B)>0$$ +- ## Independence + - Two events, $A$ and $B$ are independent, if and only if: + - $$P(A \cap B) = P(A)\cdot P(B)$$ + - Therefore, to obtain the probability that two independent events will occur, we simply find the product of their individual probabilities. + - Two events $A$ and $B$ are independent, if and only if: + - $$P(B | A) = P(B) \text{ or } P(A|B) = P(A)$$ + - assuming the existence of the conditional probabilities. + - Otherwise, $A$ and $B$ are **dependent**. + - If in an experiment, the events $A$ and $B$ can both occur, then: + - $$P(A \cap B) = P(A)P(B|A) \text{, provided } P(A) > 0$$ + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-10-07T08_33_33.358Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-10-07T08_33_33.358Z.Desktop.md new file mode 100644 index 00000000..5fb3d6c8 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-10-07T08_33_33.358Z.Desktop.md @@ -0,0 +1,382 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[System Software & Operating Systems]] +- **Next Topic:** [[CPU Management - Scheduling]] +- **Relevant Slides:** ![Lecture 4.pdf](../assets/Lecture_4_1664197052447_0.pdf) +- +- # Programs & Processes + - What is a **Program**? #card + card-last-interval:: 3.58 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-03T21:33:22.211Z + card-last-reviewed:: 2022-09-30T08:33:22.211Z + card-last-score:: 3 + - A **Program** is a static entity made up of source program language statements that define process behaviour when executed on a set of data. + - What is a **Process**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:08:45.876Z + card-last-score:: 1 + - A **Process** is a dynamic entity that executes a program on a particular set of data using resources allocated by the system. + - Two or more processes could execute the same program, each using its own data & resources. + - It is a program in execution. + - It is composed of: + - Program. + - Data. + - **Process Control Block (PCB)**: contains the state of the process in execution. + - ## Process Execution #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:08:33.702Z + card-last-score:: 1 + - In order to execute, a process needs an **Abstract Machine Environment** to manage its use of resources. + - The **Process Control Block (PCB)** is required to map the environment state onto the physical machine state. + - The OS keeps a **process descriptor** for each process. + - ![image.png](../assets/image_1664197421384_0.png) + - ## Program Execution #card + collapsed:: true + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T15:09:05.962Z + card-last-reviewed:: 2022-10-04T12:09:05.963Z + card-last-score:: 5 + - Each execution of a program generates a process that is executed. + - Inter-process relationships: + - **Competition:** Processes are trying to get access to the same resources of the system, therefore a protection between processes is necessary. + - **Cooperation:** Sometimes the processes need to communicate between themselves and exchange information - synchronisation is needed. + - ## Process Manager #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-04T12:27:50.598Z + - What does the **Process Manager** do? #card + - The **Process Manager** implements: + - **CPU Sharing** (called *scheduling*): Allocate resources to processes in conformance with certain policies. + - **Process Synchronisation** & **Inter-Process Communication**: Deadlock strategies & protection mechanisms. + - ![image.png](../assets/image_1664197699342_0.png) + - ## Process - User Perspective + - When processes are executed in a quasi-parallel fashion, the processes need to synchronise to each other for correct functionality - this is done with directives `wait`/`signal`. + - `wait`- wait for a signal from a specific process. + - `signal` - send a signal to a specific process. + - ## Process - OS Perspective #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:27:24.029Z + card-last-score:: 1 + - The processor's principle function is to execute machine instruction residing in main memory. + - These instructions are provided in the form of *programs*. + - A processor may interleave the execution of a number of programs over time. + - ### Program View + - Its execution involves a sequence of instructions within that progam. + - The behaviour of individual processes can be characterised by a sequence of instructions. + - The ***trace*** of the process. + - ### Processor View + - The processor executes instructions from main memory, as dictated by changing values in the Program Counter (PC) register. + - The behaviour of the processor can be characterised by showing how the traces of various processes are **interleaved**. + - ## State Process Models + - ### Two-State Process Model #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:29:09.773Z + card-last-score:: 1 + - The process can be in one of two states: *running* or not *running*. + - When the OS creates a new process, it enters into the *not running* state; after that, the process exists - it is known to the OS and waits for the opportunity to run. + - From time to time, the currently running process will be interrupted and the dispatcher process will select a new process to run. + - The new process will be moved to the *running* state and the former one to the *not running* state. + - #### Two-State Model Queuing Discipline #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:32:31.055Z + card-last-score:: 1 + - Each process needs to be represented. + - Information relating to each process, including current state & location in memory. + - Waiting processes should be kept in some kind of queue. + - List of pointers to processes blocks. + - Linked list of data blocks, each block representing a process. + - Dispatcher behaviour: + - An interrupted process is transferred to the *waiting queue*. + - If the process is completed or aborted, it is discarded. + - The dispatcher selects a process from the queue to execute. + - ### Five-State Process Model #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T08:36:59.227Z + card-last-score:: 1 + - **Running:** The process is currently being executed. + - For single-processor systems, one single process can be in this state at a time. + - **Ready:** The process is prepared to execute when given the turn. + - **Blocked:** The process cannot execute until some event occurs. + - Such as the completion of an I/O operation. + - **New:** The process has been created, but has not yet been accepted in the pool of executable processes by the OS. + - Typically, a new process has not yet been loaded into main memory. + - **Exit:** The process has been released from the pool of executable processes by the OS. + - Completed or due to some errors. + - #### Five-State Model Process Transition Diagram + - ![image.png](../assets/image_1664199064013_0.png) + - #### Five-State Model Queuing Discipline #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:34:27.587Z + card-last-score:: 1 + - There are two queues: the *ready queue* & the *blocked queue*. + - When a process is admitted into the system, it is placed in the *ready* queue. + - When a process is removed from the processor, it is either placed in the *ready* queue or the *blocked* queue, depending on the circumstances. + - When an event occurs, all the processes waiting on that event are moved from the *blocked* queue into the *ready* queue. + - ![image.png](../assets/image_1664199424570_0.png) + - Multiple *blocked* queues, one per event. + - When the event occurs, the entire list of processes is moved in ready queue. + - ![image.png](../assets/image_1664199491346_0.png) + - #### Suspended Processes #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T08:34:48.405Z + card-last-score:: 1 + - The processor is faster than I/O so all the processes could be waiting for I/O. + - You can swap these processes to the disk to free up some memory. + - The *blocked* state becomes the *suspended* state when swapped to the disk. + - ![image.png](../assets/image_1664199613805_0.png) + - ## Process Creation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T12:11:54.821Z + card-last-score:: 1 + - Creation of new processes: + - The OS builds the data structures that are used to manage the process. + - The OS allocates space in main memory to the process. + - Reasons for process creation: + - New batch job. + - Interactive logon. + - Created by OS to provide a service. + - i.e., process to control printing. + - Spawned by existing process. + - i.e., to exploit parallelism. + - ## Process Termination #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-03T08:35:58.103Z + card-last-reviewed:: 2022-09-29T08:35:58.104Z + card-last-score:: 5 + - Reasons for **Process Termination**: + - Process finished its execution (*natural completion*). + - Total time limit exceeded. + - Errors (memory unavailable, arithmetic error, protection error, invalid instruction, privileged instruction, I/O failure, etc.). + - ## Process Management Services #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-06T23:00:00.000Z + card-last-reviewed:: 2022-10-06T09:41:15.822Z + card-last-score:: 1 + - `create(&process_id, attributes)` + - Creates a new process with implicit or specified attributes. + - `delete(process_id)` + - Sometimes known as `destroy`, `terminate`, or `exit`. + - Ends the process specified by `process_id`. + - Whenever the process is terminated, all the files are closed, and all the allocated resources are released. + - `abort(process_id)` + - The same as `delete` but for *abnormal termination*. + - Usually generates a "**post-mortem dump**" which contains the state of the process before the abnormal termination. + - `suspend(process_id)` + - Puts the specified process into a **suspended** state. + - `resume(process_id)` + - Moves the specified process from the *suspended* state to the *ready* state. + - `delay(process_id, time)` + - Suspends the specified process for a specified period of time. + - After the delay time elapses, the process is moved to the ready state. + - `get_attribtutes(process_id, &buffer_attributes)` + - Used to find out the attributes for the given process. + - `set_attributes(process_id, buffer_attributes)` + - Used to set the attributes of the specified process. + - + - ## Process Description + - ### OS Control Structures #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:31:12.441Z + card-last-score:: 1 + - #### Memory Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:32:38.582Z + card-last-score:: 1 + collapsed:: true + - **Memory Tables** are used to keep track of both main (real) and secondary (virtual) memory. + collapsed:: true + - Some of the main memory is reserved for use by the OS, the remainder is available to the processes. + - Memory Tables contain: + - The allocation of main memory to processes. + - The allocation of secondary memory to processes. + - Any *protection* attributes of blocks of main or virtual memory (such as which processes can access certain shared memory regions). + - Any information needed to manage virtual memory. + - #### I/O Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:33:28.722Z + card-last-score:: 1 + collapsed:: true + - **I/O Tables** are used by the OS to manage the I/O devices. + - At any given time, an I/O device may be available or assigned to a particular process. + - If an I/O operation is in progress, the OS needs to know the status of the I/O operation and the location in main memory being used as the source or destination of the I/O transfer. + - #### File Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:27:44.241Z + card-last-score:: 1 + collapsed:: true + - **File Tables** provide information about: + - The existence of files. + - Their location in secondary memory. + - Their current status. + - Other attributes. + - Much of this information is maintained & managed by the **File Manager**, in which case the process manager has little or no knowledge of files. + - ### Process Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:29:00.152Z + card-last-score:: 1 + collapsed:: true + - The **Primary Process Table** is used to keep one entry per each process in the operating system. + - Each entry contains at least one pointer to a process image. + - ### Process Image #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:30:55.694Z + card-last-score:: 1 + collapsed:: true + - The **Process Image** contains: + - **Stack** + collapsed:: true + - Each process has one or more stack(s) associated with it. + - A **stack** is used to store parameters & calling addresses for procedure & system calls. + - **User Data** + collapsed:: true + - Program data that can be modified, etc. + - **Process Control Block** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-06T23:00:00.000Z + card-last-reviewed:: 2022-10-06T09:39:34.791Z + card-last-score:: 1 + collapsed:: true + - Data needed by the OS to control the process (attributes & information about the process). + - Contains: + - **Process Identification:** The data always includes a unique identifier for the process. + - Numeric identifiers that may be stored with the **Process Control Block** include the **identifier of this process**, the **identifier of the process that created this process** (parent process), and the **User Identifier**. + - **Processor State Information:** Defines the status of a process when it is suspended. + - **User-Visible Registers** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:26:29.496Z + card-last-score:: 1 + - A **user-visible register** is one that may be referenced by means of the machine language that the processor executes. + - **Control & Status Registers** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:26:25.898Z + card-last-score:: 1 + - These are a variety of processor registers that are employed to control the operation of the processor. These include: + - **Program Counter:** Contains the address of the next instruction to be fetched. + - **Condition Codes:** Result of the most recent arithmetic or logical operation. + - **Status Information:** Includes interrupt enabled/disabled flags, execution mode. + - **Stack Pointers** + - Each process has one or more LIFO system stacks associated with it. A stack is used to store parameters & calling addresses for procedure & system calls. + - The stack pointer points to the top of the stack. + - **Processor Control Information:** Used by the OS to manage the process. + - **Scheduling & State Information** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:31:53.205Z + card-last-score:: 1 + - This is information that is needed by the operating system to perform its scheduling function. Typical items of information include: + - **Process State:** Defines the readiness of the process to be scheduled for execution (e.g., running, ready, waiting, halted). + - **Priority:** One or more fields may be used to describe the scheduling priority of the process. In some systems, several values are required (e.g., default, current, highest-allowable). + - **Scheduling-Related Information:** This will depend on the scheduling algorithm used. Examples are the amount of time that the process has been waiting an the amount of time that the process executed the last time it was running. + - **Event:** Identity of the even the process is awaiting before it can be resumed. + - **Data Structuring:** A process may be linked to another process in a queue or other structure. + - **Inter-Process Communication:** Various flags, signals, & messages may be associated with communication between two independent processes. + - **Process Privileges:** Processes are granted privileges in terms of the memory that may be accessed and the types of instruction that may be executed. In addition, privileges may apply to the use of system utilities & services. + - **Memory Management:** This section may include pointers to segment and/or page tables that describe the virtual memory assigned to this process. + - **Resource Ownership & Utilisation:** resources controlled by the processes may be indicated, such as opened files. A history of utilisation of the processor or other resources may also be included. + - This information may be needed by the scheduler. + - +- ## Threads & Processes + - A **process** is sometimes defined as a *heavyweight process*. + - A **thread** is defined as a *lightweight process*. + - Separate two ideas: + - **Process:** Ownership of memory, files, other resources. + - Execution of applications. + - **Thread:** Unit of execution we use to dispatch. + - Share the same address space hence we can read from and write to the same data structures. + - What is **multithreading**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-03T08:36:50.414Z + card-last-reviewed:: 2022-09-29T08:36:50.415Z + card-last-score:: 3 + - **Multithreading** allows multiple threads per process. + - What is a **thread**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-03T08:36:25.598Z + card-last-reviewed:: 2022-09-29T08:36:25.599Z + card-last-score:: 5 + - A **thread** is a unit of computation associated with a particular heavyweight process, using many of the associated process's resources. + - It has a minimum of internal state & a minimum of allocated resources. + - A group of threads are share the same resources. + - e.g., files, memory space, etc. + - The **process** is the execution environment for a family of threads. + - A process with one thread is a **classic process**. + - Each thread has an individual execution state. + - Each thread has a control block, with a state (Running / Blocked / etc.), saved registers, an instruction pointer. + - There is a separate stack & hardware state (PC, registers, PSW, etc.) per thread. + - Shares memory & files with other threads that are in that process. + - Faster to create a thread than a process. + - ![image.png](../assets/image_1664209742517_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-10-10T11_59_52.461Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-10-10T11_59_52.461Z.Desktop.md new file mode 100644 index 00000000..bfd5d682 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-10-10T11_59_52.461Z.Desktop.md @@ -0,0 +1,407 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[System Software & Operating Systems]] +- **Next Topic:** [[CPU Management - Scheduling]] +- **Relevant Slides:** ![Lecture 4.pdf](../assets/Lecture_4_1664197052447_0.pdf) +- +- # Programs & Processes + - What is a **Program**? #card + card-last-interval:: 3.71 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T03:36:52.575Z + card-last-reviewed:: 2022-10-07T10:36:52.575Z + card-last-score:: 5 + - A **Program** is a static entity made up of source program language statements that define process behaviour when executed on a set of data. + - What is a **Process**? #card + collapsed:: true + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T17:43:52.870Z + card-last-reviewed:: 2022-10-08T22:43:52.870Z + card-last-score:: 5 + - A **Process** is a dynamic entity that executes a program on a particular set of data using resources allocated by the system. + - Two or more processes could execute the same program, each using its own data & resources. + - It is a ^^program in execution.^^ + - It is composed of: + - Program. + - Data. + - **Process Control Block (PCB)**: contains the state of the process in execution. + - ## Process Execution #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:41:19.088Z + card-last-score:: 1 + - In order to execute, a process needs an **Abstract Machine Environment** to manage its use of resources. + - The **Process Control Block (PCB)** is required to map the environment state onto the physical machine state. + - The OS keeps a **process descriptor** for each process. + - ![image.png](../assets/image_1664197421384_0.png) + - ## Program Execution #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-09T08:50:46.333Z + card-last-score:: 1 + - Each execution of a program generates a process that is executed. + - Inter-process relationships: + - **Competition:** Processes are trying to get access to the same resources of the system, therefore a protection between processes is necessary. + - **Cooperation:** Sometimes the processes need to communicate between themselves and exchange information - synchronisation is needed. + - ## Process Manager #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-08T22:40:54.081Z + - What does the **Process Manager** do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:27:40.512Z + card-last-score:: 1 + - The **Process Manager** implements: + - **CPU Sharing** (called *scheduling*): Allocate resources to processes in conformance with certain policies. + - **Process Synchronisation** & **Inter-Process Communication**: Deadlock strategies & protection mechanisms. + - ![image.png](../assets/image_1664197699342_0.png) + - ## Process - User Perspective + - When processes are executed in a quasi-parallel fashion, the processes need to synchronise to each other for correct functionality - this is done with directives `wait`/`signal`. + - `wait`- wait for a signal from a specific process. + - `signal` - send a signal to a specific process. + - ## Process - OS Perspective #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:46:39.454Z + card-last-score:: 1 + - The processor's principle function is to execute machine instruction residing in main memory. + - These instructions are provided in the form of *programs*. + - A processor may interleave the execution of a number of programs over time. + - ### Program View + - Its execution involves a sequence of instructions within that progam. + - The behaviour of individual processes can be characterised by a sequence of instructions called the ***trace*** of the process. + - ### Processor View + - The processor executes instructions from main memory, as dictated by changing values in the Program Counter (PC) register. + - The behaviour of the processor can be characterised by showing how the traces of various processes are **interleaved**. + - ## State Process Models + - ### Two-State Process Model #card + card-last-interval:: 3.33 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T17:19:36.319Z + card-last-reviewed:: 2022-10-07T10:19:36.319Z + card-last-score:: 3 + - The process can be in one of two states: *running* or not *running*. + - When the OS creates a new process, it enters into the *not running* state; after that, the process exists - it is known to the OS and waits for the opportunity to run. + - From time to time, the currently running process will be interrupted and the dispatcher process will select a new process to run. + - The new process will be moved to the *running* state and the former one to the *not running* state. + - #### Two-State Model Queuing Discipline #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:00:41.408Z + card-last-score:: 1 + - Each process needs to be represented. + - Information relating to each process, including current state & location in memory. + - Waiting processes should be kept in some kind of queue. + - List of pointers to processes blocks. + - Linked list of data blocks, each block representing a process. + - Dispatcher behaviour: + - An interrupted process is transferred to the *waiting queue*. + - If the process is completed or aborted, it is discarded. + - The dispatcher selects a process from the queue to execute. + - ### Five-State Process Model #card + card-last-interval:: 0.91 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T19:42:23.004Z + card-last-reviewed:: 2022-10-08T22:42:23.004Z + card-last-score:: 3 + - **Running:** The process is currently being executed. + - For single-processor systems, one single process can be in this state at a time. + - **Ready:** The process is prepared to execute when given the turn. + - **Blocked:** The process cannot execute until some event occurs. + - Such as the completion of an I/O operation. + - **New:** The process has been created, but has not yet been accepted in the pool of executable processes by the OS. + - Typically, a new process has not yet been loaded into main memory. + - **Exit:** The process has been released from the pool of executable processes by the OS. + - Completed or due to some errors. + - #### Five-State Model Process Transition Diagram + - ![image.png](../assets/image_1664199064013_0.png) + - #### Five-State Model Queuing Discipline #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:22:11.677Z + card-last-score:: 1 + - There are two queues: the **ready queue** & the **blocked queue**. + - When a process is admitted into the system, it is placed in the **ready** queue. + - When a process is removed from the processor, it is either placed in the **ready** queue or the **blocked** queue, depending on the circumstances. + - When an event occurs, all the processes waiting on that event are moved from the **blocked** queue into the **ready** queue. + - ![image.png](../assets/image_1664199424570_0.png) + - There are multiple **blocked** queues - one per event. + - When the event occurs, the entire list of processes is moved to the **ready** queue. + - ![image.png](../assets/image_1664199491346_0.png) + - #### Suspended Processes #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:29:42.351Z + card-last-score:: 1 + - The processor is faster than I/O so all the processes could be waiting for I/O. + - You can swap these processes to the disk to free up some memory. + - The *blocked* state becomes the *suspended* state when swapped to the disk. + - ![image.png](../assets/image_1664199613805_0.png) + - ## Process Creation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:44:02.345Z + card-last-score:: 1 + - Creation of new processes: + - The OS builds the data structures that are used to manage the process. + - The OS allocates space in main memory to the process. + - Reasons for process creation: + - New batch job. + - Interactive logon. + - Created by OS to provide a service. + - i.e., process to control printing. + - Spawned by existing process. + - i.e., to exploit parallelism. + - ## Process Termination + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-08T15:27:20.789Z + - Reasons for **Process Termination**: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:30:13.715Z + card-last-score:: 1 + - Process finished its execution (*natural completion*). + - Total time limit exceeded. + - Errors (memory unavailable, arithmetic error, protection error, invalid instruction, privileged instruction, I/O failure, etc.). + - ## Process Management Services #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-12T15:26:09.797Z + card-last-reviewed:: 2022-10-08T15:26:09.797Z + card-last-score:: 5 + - `create(&process_id, attributes)` + - Creates a new process with implicit or specified attributes. + - `delete(process_id)` + - Sometimes known as `destroy`, `terminate`, or `exit`. + - Ends the process specified by `process_id`. + - Whenever the process is terminated, all the files are closed, and all the allocated resources are released. + - `abort(process_id)` + - The same as `delete` but for *abnormal termination*. + - Usually generates a "**post-mortem dump**" which contains the state of the process before the abnormal termination. + - `suspend(process_id)` + - Puts the specified process into a **suspended** state. + - `resume(process_id)` + - Moves the specified process from the *suspended* state to the *ready* state. + - `delay(process_id, time)` + - Suspends the specified process for a specified period of time. + - After the delay time elapses, the process is moved to the ready state. + - `get_attribtutes(process_id, &buffer_attributes)` + - Used to find out the attributes for the given process. + - `set_attributes(process_id, buffer_attributes)` + - Used to set the attributes of the specified process. + - + - ## Process Description + - ### OS Control Structures #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:31:35.247Z + card-last-score:: 1 + - #### Memory Tables #card + card-last-interval:: 0.88 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T12:00:59.222Z + card-last-reviewed:: 2022-10-08T15:00:59.222Z + card-last-score:: 3 + collapsed:: true + - **Memory Tables** are used to keep track of both main (real) and secondary (virtual) memory. + collapsed:: true + - Some of the main memory is reserved for use by the OS, the remainder is available to the processes. + - Memory Tables contain: + - The allocation of main memory to processes. + - The allocation of secondary memory to processes. + - Any *protection* attributes of blocks of main or virtual memory (such as which processes can access certain shared memory regions). + - Any information needed to manage virtual memory. + - #### I/O Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:41:04.228Z + card-last-score:: 1 + collapsed:: true + - **I/O Tables** are used by the OS to manage the I/O devices. + - At any given time, an I/O device may be available or assigned to a particular process. + - If an I/O operation is in progress, the OS needs to know the status of the I/O operation and the location in main memory being used as the source or destination of the I/O transfer. + - #### File Tables #card + card-last-interval:: 0.98 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T21:41:12.468Z + card-last-reviewed:: 2022-10-08T22:41:12.469Z + card-last-score:: 3 + collapsed:: true + - **File Tables** provide information about: + - The existence of files. + - Their location in secondary memory. + - Their current status. + - Other attributes. + - Much of this information is maintained & managed by the **File Manager**, in which case the process manager has little or no knowledge of files. + - ### Process Tables + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-07T10:23:42.819Z + collapsed:: true + - What is the **Primary Process Table**? #card + card-last-interval:: 0.76 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T09:09:02.595Z + card-last-reviewed:: 2022-10-08T15:09:02.596Z + card-last-score:: 3 + - The **Primary Process Table** keeps one entry per each process in the operating system. + - Each entry contains at least one pointer to a **process image**. + - ### Process Image #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:17:26.136Z + card-last-score:: 1 + collapsed:: true + - The **Process Image** contains: + - **Stack** + collapsed:: true + - Each process has one or more stack(s) associated with it. + - A **stack** is used to store parameters & calling addresses for procedure & system calls. + - **User Data** + collapsed:: true + - Program data that can be modified, etc. + - **Process Control Block** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:19:11.892Z + card-last-score:: 1 + collapsed:: true + - Data needed by the OS to control the process (attributes & information about the process). + - Contains: + - **Process Identification:** The data always includes a unique identifier for the process. + - Numeric identifiers that may be stored with the **Process Control Block** include the **identifier of this process**, the **identifier of the process that created this process** (parent process), and the **User Identifier**. + - **Processor State Information:** Defines the status of a process when it is suspended. + - **User-Visible Registers** + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-08T15:22:36.520Z + - What is a **User-Visible Register**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:40:27.702Z + card-last-score:: 1 + - A **user-visible register** is one that may be referenced by means of the machine language that the processor executes. + - **Control & Status Registers** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:24:28.838Z + card-last-score:: 1 + - These are a variety of processor registers that are employed to control the operation of the processor. These include: + - **Program Counter:** Contains the address of the next instruction to be fetched. + - **Condition Codes:** Result of the most recent arithmetic or logical operation. + - **Status Information:** Includes interrupt enabled/disabled flags, execution mode. + - **Stack Pointers** + - Each process has one or more LIFO system stacks associated with it. A stack is used to store parameters & calling addresses for procedure & system calls. + - The stack pointer points to the top of the stack. + - **Processor Control Information:** Used by the OS to manage the process. + - **Scheduling & State Information** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:17:18.163Z + card-last-score:: 1 + - This is information that is needed by the operating system to perform its scheduling function. Typical items of information include: + - **Process State:** Defines the readiness of the process to be scheduled for execution (e.g., running, ready, waiting, halted). + - **Priority:** One or more fields may be used to describe the scheduling priority of the process. In some systems, several values are required (e.g., default, current, highest-allowable). + - **Scheduling-Related Information:** This will depend on the scheduling algorithm used. Examples are the amount of time that the process has been waiting an the amount of time that the process executed the last time it was running. + - **Event:** Identity of the even the process is awaiting before it can be resumed. + - **Data Structuring:** A process may be linked to another process in a queue or other structure. + - **Inter-Process Communication:** Various flags, signals, & messages may be associated with communication between two independent processes. + - **Process Privileges:** Processes are granted privileges in terms of the memory that may be accessed and the types of instruction that may be executed. In addition, privileges may apply to the use of system utilities & services. + - **Memory Management:** This section may include pointers to segment and/or page tables that describe the virtual memory assigned to this process. + - **Resource Ownership & Utilisation:** resources controlled by the processes may be indicated, such as opened files. A history of utilisation of the processor or other resources may also be included. + - This information may be needed by the scheduler. + - +- ## Threads & Processes + - A **process** is sometimes defined as a *heavyweight process*. + - A **thread** is defined as a *lightweight process*. + - Separate two ideas: + - **Process:** Ownership of memory, files, other resources. + - Execution of applications. + - **Thread:** Unit of execution we use to dispatch. + - Share the same address space hence we can read from and write to the same data structures. + - What is **multithreading**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T17:25:59.409Z + card-last-reviewed:: 2022-10-06T17:25:59.409Z + card-last-score:: 5 + - **Multithreading** allows multiple threads per process. + - What is a **thread**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:17:23.106Z + card-last-reviewed:: 2022-10-07T10:17:23.106Z + card-last-score:: 5 + - A **thread** is a unit of computation associated with a particular heavyweight process, using many of the associated process's resources. + - It has a minimum of internal state & a minimum of allocated resources. + - A group of threads are share the same resources. + - e.g., files, memory space, etc. + - The **process** is the execution environment for a family of threads. + - A process with one thread is a **classic process**. + - Each thread has an individual execution state. + - Each thread has a control block, with a state (Running / Blocked / etc.), saved registers, an instruction pointer. + - There is a separate stack & hardware state (PC, registers, PSW, etc.) per thread. + - Shares memory & files with other threads that are in that process. + - Faster to create a thread than a process. + - ![image.png](../assets/image_1664209742517_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-10-20T09_05_57.980Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-10-20T09_05_57.980Z.Desktop.md new file mode 100644 index 00000000..d582d703 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-10-20T09_05_57.980Z.Desktop.md @@ -0,0 +1,407 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[System Software & Operating Systems]] +- **Next Topic:** [[CPU Management - Scheduling]] +- **Relevant Slides:** ![Lecture 4.pdf](../assets/Lecture_4_1664197052447_0.pdf) +- +- # Programs & Processes + - What is a **Program**? #card + card-last-interval:: 3.71 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T03:36:52.575Z + card-last-reviewed:: 2022-10-07T10:36:52.575Z + card-last-score:: 5 + - A **Program** is a static entity made up of source program language statements that define process behaviour when executed on a set of data. + - What is a **Process**? #card + collapsed:: true + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T17:43:52.870Z + card-last-reviewed:: 2022-10-08T22:43:52.870Z + card-last-score:: 5 + - A **Process** is a dynamic entity that executes a program on a particular set of data using resources allocated by the system. + - Two or more processes could execute the same program, each using its own data & resources. + - It is a ^^program in execution.^^ + - It is composed of: + - Program. + - Data. + - **Process Control Block (PCB)**: contains the state of the process in execution. + - ## Process Execution #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:40:47.581Z + card-last-score:: 1 + - In order to execute, a process needs an **Abstract Machine Environment** to manage its use of resources. + - The **Process Control Block (PCB)** is required to map the environment state onto the physical machine state. + - The OS keeps a **process descriptor** for each process. + - ![image.png](../assets/image_1664197421384_0.png) + - ## Program Execution #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-09T08:50:46.333Z + card-last-score:: 1 + - Each execution of a program generates a process that is executed. + - Inter-process relationships: + - **Competition:** Processes are trying to get access to the same resources of the system, therefore a protection between processes is necessary. + - **Cooperation:** Sometimes the processes need to communicate between themselves and exchange information - synchronisation is needed. + - ## Process Manager #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-10T11:40:40.339Z + - What does the **Process Manager** do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:37:57.867Z + card-last-score:: 1 + - The **Process Manager** implements: + - **CPU Sharing** (called *scheduling*): Allocate resources to processes in conformance with certain policies. + - **Process Synchronisation** & **Inter-Process Communication**: Deadlock strategies & protection mechanisms. + - ![image.png](../assets/image_1664197699342_0.png) + - ## Process - User Perspective + - When processes are executed in a quasi-parallel fashion, the processes need to synchronise to each other for correct functionality - this is done with directives `wait`/`signal`. + - `wait`- wait for a signal from a specific process. + - `signal` - send a signal to a specific process. + - ## Process - OS Perspective #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:41:58.996Z + card-last-score:: 1 + - The processor's principle function is to execute machine instruction residing in main memory. + - These instructions are provided in the form of *programs*. + - A processor may interleave the execution of a number of programs over time. + - ### Program View + - Its execution involves a sequence of instructions within that progam. + - The behaviour of individual processes can be characterised by a sequence of instructions called the ***trace*** of the process. + - ### Processor View + - The processor executes instructions from main memory, as dictated by changing values in the Program Counter (PC) register. + - The behaviour of the processor can be characterised by showing how the traces of various processes are **interleaved**. + - ## State Process Models + - ### Two-State Process Model #card + card-last-interval:: 3.33 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T17:19:36.319Z + card-last-reviewed:: 2022-10-07T10:19:36.319Z + card-last-score:: 3 + - The process can be in one of two states: *running* or not *running*. + - When the OS creates a new process, it enters into the *not running* state; after that, the process exists - it is known to the OS and waits for the opportunity to run. + - From time to time, the currently running process will be interrupted and the dispatcher process will select a new process to run. + - The new process will be moved to the *running* state and the former one to the *not running* state. + - #### Two-State Model Queuing Discipline #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:32:41.255Z + card-last-score:: 1 + - Each process needs to be represented. + - Information relating to each process, including current state & location in memory. + - Waiting processes should be kept in some kind of queue. + - List of pointers to processes blocks. + - Linked list of data blocks, each block representing a process. + - Dispatcher behaviour: + - An interrupted process is transferred to the *waiting queue*. + - If the process is completed or aborted, it is discarded. + - The dispatcher selects a process from the queue to execute. + - ### Five-State Process Model #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:45:28.816Z + card-last-score:: 1 + - **Running:** The process is currently being executed. + - For single-processor systems, one single process can be in this state at a time. + - **Ready:** The process is prepared to execute when given the turn. + - **Blocked:** The process cannot execute until some event occurs. + - Such as the completion of an I/O operation. + - **New:** The process has been created, but has not yet been accepted in the pool of executable processes by the OS. + - Typically, a new process has not yet been loaded into main memory. + - **Exit:** The process has been released from the pool of executable processes by the OS. + - Completed or due to some errors. + - #### Five-State Model Process Transition Diagram + - ![image.png](../assets/image_1664199064013_0.png) + - #### Five-State Model Queuing Discipline #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:36:55.805Z + card-last-score:: 1 + - There are two types of queues: the **ready queue** & the **blocked queue**. + - When a process is admitted into the system, it is placed in the **ready** queue. + - When a process is removed from the processor, it is either placed in the **ready** queue or the **blocked** queue, depending on the circumstances. + - When an event occurs, all the processes waiting on that event are moved from the **blocked** queue into the **ready** queue. + - ![image.png](../assets/image_1664199424570_0.png) + - There are multiple **blocked** queues - one per event. + - When the event occurs, the entire list of processes is moved to the **ready** queue. + - ![image.png](../assets/image_1664199491346_0.png) + - #### Suspended Processes #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:38:36.726Z + card-last-score:: 1 + - The processor is faster than I/O so all the processes could be waiting for I/O. + - You can swap these processes to the disk to free up some memory. + - The *blocked* state becomes the *suspended* state when swapped to the disk. + - ![image.png](../assets/image_1664199613805_0.png) + - ## Process Creation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:41:14.067Z + card-last-score:: 1 + - Creation of new processes: + - The OS builds the data structures that are used to manage the process. + - The OS allocates space in main memory to the process. + - Reasons for process creation: + - New batch job. + - Interactive logon. + - Created by OS to provide a service. + - i.e., process to control printing. + - Spawned by existing process. + - i.e., to exploit parallelism. + - ## Process Termination + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-08T15:27:20.789Z + - Reasons for **Process Termination**: #card + card-last-interval:: 1.05 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-11T12:33:52.485Z + card-last-reviewed:: 2022-10-10T11:33:52.486Z + card-last-score:: 3 + - Process finished its execution (**natural completion**). + - Total time limit exceeded. + - Errors (memory unavailable, arithmetic error, protection error, invalid instruction, privileged instruction, I/O failure, etc.). + - ## Process Management Services #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-12T15:26:09.797Z + card-last-reviewed:: 2022-10-08T15:26:09.797Z + card-last-score:: 5 + - `create(&process_id, attributes)` + - Creates a new process with implicit or specified attributes. + - `delete(process_id)` + - Sometimes known as `destroy`, `terminate`, or `exit`. + - Ends the process specified by `process_id`. + - Whenever the process is terminated, all the files are closed, and all the allocated resources are released. + - `abort(process_id)` + - The same as `delete` but for *abnormal termination*. + - Usually generates a "**post-mortem dump**" which contains the state of the process before the abnormal termination. + - `suspend(process_id)` + - Puts the specified process into a **suspended** state. + - `resume(process_id)` + - Moves the specified process from the *suspended* state to the *ready* state. + - `delay(process_id, time)` + - Suspends the specified process for a specified period of time. + - After the delay time elapses, the process is moved to the ready state. + - `get_attribtutes(process_id, &buffer_attributes)` + - Used to find out the attributes for the given process. + - `set_attributes(process_id, buffer_attributes)` + - Used to set the attributes of the specified process. + - + - ## Process Description + - ### OS Control Structures #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:39:25.774Z + card-last-score:: 1 + - #### Memory Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:44:14.140Z + card-last-score:: 1 + collapsed:: true + - **Memory Tables** are used to keep track of both main (real) and secondary (virtual) memory. + collapsed:: true + - Some of the main memory is reserved for use by the OS, the remainder is available to the processes. + - Memory Tables contain: + - The allocation of main memory to processes. + - The allocation of secondary memory to processes. + - Any *protection* attributes of blocks of main or virtual memory (such as which processes can access certain shared memory regions). + - Any information needed to manage virtual memory. + - #### I/O Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:40:44.093Z + card-last-score:: 1 + collapsed:: true + - **I/O Tables** are used by the OS to manage the I/O devices. + - At any given time, an I/O device may be available or assigned to a particular process. + - If an I/O operation is in progress, the OS needs to know the status of the I/O operation and the location in main memory being used as the source or destination of the I/O transfer. + - #### File Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:46:06.597Z + card-last-score:: 1 + collapsed:: true + - **File Tables** provide information about: + - The existence of files. + - Their location in secondary memory. + - Their current status. + - Other attributes. + - Much of this information is maintained & managed by the **File Manager**, in which case the process manager has little or no knowledge of files. + - ### Process Tables + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-07T10:23:42.819Z + collapsed:: true + - What is the **Primary Process Table**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:43:23.723Z + card-last-score:: 1 + - The **Primary Process Table** keeps one entry per each process in the operating system. + - Each entry contains at least one pointer to a **process image**. + - ### Process Image #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:35:15.847Z + card-last-score:: 1 + collapsed:: true + - The **Process Image** contains: + - **Stack** + collapsed:: true + - Each process has one or more stack(s) associated with it. + - A **stack** is used to store parameters & calling addresses for procedure & system calls. + - **User Data** + collapsed:: true + - Program data that can be modified, etc. + - **Process Control Block** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:35:29.384Z + card-last-score:: 1 + collapsed:: true + - Data needed by the OS to control the process (attributes & information about the process). + - Contains: + - **Process Identification:** The data always includes a unique identifier for the process. + - Numeric identifiers that may be stored with the **Process Control Block** include the **identifier of this process**, the **identifier of the process that created this process** (parent process), and the **User Identifier**. + - **Processor State Information:** Defines the status of a process when it is suspended. + - **User-Visible Registers** + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-08T15:22:36.520Z + - What is a **User-Visible Register**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:43:17.781Z + card-last-score:: 1 + - A **user-visible register** is one that may be referenced by means of the machine language that the processor executes. + - **Control & Status Registers** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:37:21.786Z + card-last-score:: 1 + - These are a variety of processor registers that are employed to control the operation of the processor. These include: + - **Program Counter:** Contains the address of the next instruction to be fetched. + - **Condition Codes:** Result of the most recent arithmetic or logical operation. + - **Status Information:** Includes interrupt enabled/disabled flags, execution mode. + - **Stack Pointers** + - Each process has one or more LIFO system stacks associated with it. A stack is used to store parameters & calling addresses for procedure & system calls. + - The stack pointer points to the top of the stack. + - **Processor Control Information:** Used by the OS to manage the process. + - **Scheduling & State Information** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:35:08.265Z + card-last-score:: 1 + - This is information that is needed by the operating system to perform its scheduling function. Typical items of information include: + - **Process State:** Defines the readiness of the process to be scheduled for execution (e.g., running, ready, waiting, halted). + - **Priority:** One or more fields may be used to describe the scheduling priority of the process. In some systems, several values are required (e.g., default, current, highest-allowable). + - **Scheduling-Related Information:** This will depend on the scheduling algorithm used. Examples are the amount of time that the process has been waiting an the amount of time that the process executed the last time it was running. + - **Event:** Identity of the even the process is awaiting before it can be resumed. + - **Data Structuring:** A process may be linked to another process in a queue or other structure. + - **Inter-Process Communication:** Various flags, signals, & messages may be associated with communication between two independent processes. + - **Process Privileges:** Processes are granted privileges in terms of the memory that may be accessed and the types of instruction that may be executed. In addition, privileges may apply to the use of system utilities & services. + - **Memory Management:** This section may include pointers to segment and/or page tables that describe the virtual memory assigned to this process. + - **Resource Ownership & Utilisation:** resources controlled by the processes may be indicated, such as opened files. A history of utilisation of the processor or other resources may also be included. + - This information may be needed by the scheduler. + - +- ## Threads & Processes + - A **process** is sometimes defined as a *heavyweight process*. + - A **thread** is defined as a *lightweight process*. + - Separate two ideas: + - **Process:** Ownership of memory, files, other resources. + - Execution of applications. + - **Thread:** Unit of execution we use to dispatch. + - Share the same address space hence we can read from and write to the same data structures. + - What is **multithreading**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T17:25:59.409Z + card-last-reviewed:: 2022-10-06T17:25:59.409Z + card-last-score:: 5 + - **Multithreading** allows multiple threads per process. + - What is a **thread**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:17:23.106Z + card-last-reviewed:: 2022-10-07T10:17:23.106Z + card-last-score:: 5 + - A **thread** is a unit of computation associated with a particular heavyweight process, using many of the associated process's resources. + - It has a minimum of internal state & a minimum of allocated resources. + - A group of threads are share the same resources. + - e.g., files, memory space, etc. + - The **process** is the execution environment for a family of threads. + - A process with one thread is a **classic process**. + - Each thread has an individual execution state. + - Each thread has a control block, with a state (Running / Blocked / etc.), saved registers, an instruction pointer. + - There is a separate stack & hardware state (PC, registers, PSW, etc.) per thread. + - Shares memory & files with other threads that are in that process. + - Faster to create a thread than a process. + - ![image.png](../assets/image_1664209742517_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-11-11T12_04_45.366Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-11-11T12_04_45.366Z.Desktop.md new file mode 100644 index 00000000..7cff88fb --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-11-11T12_04_45.366Z.Desktop.md @@ -0,0 +1,407 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[System Software & Operating Systems]] +- **Next Topic:** [[CPU Management - Scheduling]] +- **Relevant Slides:** ![Lecture 4.pdf](../assets/Lecture_4_1664197052447_0.pdf) +- +- # Programs & Processes + - What is a **Program**? #card + card-last-interval:: 3.71 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T03:36:52.575Z + card-last-reviewed:: 2022-10-07T10:36:52.575Z + card-last-score:: 5 + - A **Program** is a static entity made up of source program language statements that define process behaviour when executed on a set of data. + - What is a **Process**? #card + collapsed:: true + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T17:43:52.870Z + card-last-reviewed:: 2022-10-08T22:43:52.870Z + card-last-score:: 5 + - A **Process** is a dynamic entity that executes a program on a particular set of data using resources allocated by the system. + - Two or more processes could execute the same program, each using its own data & resources. + - It is a ^^program in execution.^^ + - It is composed of: + - Program. + - Data. + - **Process Control Block (PCB)**: contains the state of the process in execution. + - ## Process Execution #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:48:14.190Z + card-last-score:: 1 + - In order to execute, a process needs an **Abstract Machine Environment** to manage its use of resources. + - The **Process Control Block (PCB)** is required to map the environment state onto the physical machine state. + - The OS keeps a **process descriptor** for each process. + - ![image.png](../assets/image_1664197421384_0.png) + - ## Program Execution #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:28:39.916Z + card-last-score:: 1 + - Each execution of a program generates a process that is executed. + - Inter-process relationships: + - **Competition:** Processes are trying to get access to the same resources of the system, therefore a protection between processes is necessary. + - **Cooperation:** Sometimes the processes need to communicate between themselves and exchange information - synchronisation is needed. + - ## Process Manager #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-20T08:38:16.744Z + - What does the **Process Manager** do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:48:20.405Z + card-last-score:: 1 + - The **Process Manager** implements: + - **CPU Sharing** (called *scheduling*): Allocate resources to processes in conformance with certain policies. + - **Process Synchronisation** & **Inter-Process Communication**: Deadlock strategies & protection mechanisms. + - ![image.png](../assets/image_1664197699342_0.png) + - ## Process - User Perspective + - When processes are executed in a quasi-parallel fashion, the processes need to synchronise to each other for correct functionality - this is done with directives `wait`/`signal`. + - `wait`- wait for a signal from a specific process. + - `signal` - send a signal to a specific process. + - ## Process - OS Perspective #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:41:58.996Z + card-last-score:: 1 + - The processor's principle function is to execute machine instruction residing in main memory. + - These instructions are provided in the form of *programs*. + - A processor may interleave the execution of a number of programs over time. + - ### Program View + - Its execution involves a sequence of instructions within that progam. + - The behaviour of individual processes can be characterised by a sequence of instructions called the ***trace*** of the process. + - ### Processor View + - The processor executes instructions from main memory, as dictated by changing values in the Program Counter (PC) register. + - The behaviour of the processor can be characterised by showing how the traces of various processes are **interleaved**. + - ## State Process Models + - ### Two-State Process Model #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-29T05:35:44.137Z + card-last-reviewed:: 2022-10-20T08:35:44.137Z + card-last-score:: 3 + - The process can be in one of two states: *running* or not *running*. + - When the OS creates a new process, it enters into the *not running* state; after that, the process exists - it is known to the OS and waits for the opportunity to run. + - From time to time, the currently running process will be interrupted and the dispatcher process will select a new process to run. + - The new process will be moved to the *running* state and the former one to the *not running* state. + - #### Two-State Model Queuing Discipline #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:50:58.883Z + card-last-score:: 1 + - Each process needs to be represented. + - Information relating to each process, including current state & location in memory. + - Waiting processes should be kept in some kind of queue. + - List of pointers to processes blocks. + - Linked list of data blocks, each block representing a process. + - Dispatcher behaviour: + - An interrupted process is transferred to the *waiting queue*. + - If the process is completed or aborted, it is discarded. + - The dispatcher selects a process from the queue to execute. + - ### Five-State Process Model #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:45:28.816Z + card-last-score:: 1 + - **Running:** The process is currently being executed. + - For single-processor systems, one single process can be in this state at a time. + - **Ready:** The process is prepared to execute when given the turn. + - **Blocked:** The process cannot execute until some event occurs. + - Such as the completion of an I/O operation. + - **New:** The process has been created, but has not yet been accepted in the pool of executable processes by the OS. + - Typically, a new process has not yet been loaded into main memory. + - **Exit:** The process has been released from the pool of executable processes by the OS. + - Completed or due to some errors. + - #### Five-State Model Process Transition Diagram + - ![image.png](../assets/image_1664199064013_0.png) + - #### Five-State Model Queuing Discipline #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:41:05.316Z + card-last-score:: 1 + - There are two types of queues: the **ready queue** & the **blocked queue**. + - When a process is admitted into the system, it is placed in the **ready** queue. + - When a process is removed from the processor, it is either placed in the **ready** queue or the **blocked** queue, depending on the circumstances. + - When an event occurs, all the processes waiting on that event are moved from the **blocked** queue into the **ready** queue. + - ![image.png](../assets/image_1664199424570_0.png) + - There are multiple **blocked** queues - one per event. + - When the event occurs, the entire list of processes is moved to the **ready** queue. + - ![image.png](../assets/image_1664199491346_0.png) + - #### Suspended Processes #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:38:36.726Z + card-last-score:: 1 + - The processor is faster than I/O so all the processes could be waiting for I/O. + - You can swap these processes to the disk to free up some memory. + - The *blocked* state becomes the *suspended* state when swapped to the disk. + - ![image.png](../assets/image_1664199613805_0.png) + - ## Process Creation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:39:16.423Z + card-last-score:: 1 + - Creation of new processes: + - The OS builds the data structures that are used to manage the process. + - The OS allocates space in main memory to the process. + - Reasons for process creation: + - New batch job. + - Interactive logon. + - Created by OS to provide a service. + - i.e., process to control printing. + - Spawned by existing process. + - i.e., to exploit parallelism. + - ## Process Termination + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-08T15:27:20.789Z + - Reasons for **Process Termination**: #card + card-last-interval:: 1.05 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-11T12:33:52.485Z + card-last-reviewed:: 2022-10-10T11:33:52.486Z + card-last-score:: 3 + - Process finished its execution (**natural completion**). + - Total time limit exceeded. + - Errors (memory unavailable, arithmetic error, protection error, invalid instruction, privileged instruction, I/O failure, etc.). + - ## Process Management Services #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-12T15:26:09.797Z + card-last-reviewed:: 2022-10-08T15:26:09.797Z + card-last-score:: 5 + - `create(&process_id, attributes)` + - Creates a new process with implicit or specified attributes. + - `delete(process_id)` + - Sometimes known as `destroy`, `terminate`, or `exit`. + - Ends the process specified by `process_id`. + - Whenever the process is terminated, all the files are closed, and all the allocated resources are released. + - `abort(process_id)` + - The same as `delete` but for *abnormal termination*. + - Usually generates a "**post-mortem dump**" which contains the state of the process before the abnormal termination. + - `suspend(process_id)` + - Puts the specified process into a **suspended** state. + - `resume(process_id)` + - Moves the specified process from the *suspended* state to the *ready* state. + - `delay(process_id, time)` + - Suspends the specified process for a specified period of time. + - After the delay time elapses, the process is moved to the ready state. + - `get_attribtutes(process_id, &buffer_attributes)` + - Used to find out the attributes for the given process. + - `set_attributes(process_id, buffer_attributes)` + - Used to set the attributes of the specified process. + - + - ## Process Description + - ### OS Control Structures #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:39:25.774Z + card-last-score:: 1 + - #### Memory Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:44:14.140Z + card-last-score:: 1 + collapsed:: true + - **Memory Tables** are used to keep track of both main (real) and secondary (virtual) memory. + collapsed:: true + - Some of the main memory is reserved for use by the OS, the remainder is available to the processes. + - Memory Tables contain: + - The allocation of main memory to processes. + - The allocation of secondary memory to processes. + - Any *protection* attributes of blocks of main or virtual memory (such as which processes can access certain shared memory regions). + - Any information needed to manage virtual memory. + - #### I/O Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:38:12.118Z + card-last-score:: 1 + collapsed:: true + - **I/O Tables** are used by the OS to manage the I/O devices. + - At any given time, an I/O device may be available or assigned to a particular process. + - If an I/O operation is in progress, the OS needs to know the status of the I/O operation and the location in main memory being used as the source or destination of the I/O transfer. + - #### File Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:42:26.702Z + card-last-score:: 1 + collapsed:: true + - **File Tables** provide information about: + - The existence of files. + - Their location in secondary memory. + - Their current status. + - Other attributes. + - Much of this information is maintained & managed by the **File Manager**, in which case the process manager has little or no knowledge of files. + - ### Process Tables + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-07T10:23:42.819Z + collapsed:: true + - What is the **Primary Process Table**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:43:23.723Z + card-last-score:: 1 + - The **Primary Process Table** keeps one entry per each process in the operating system. + - Each entry contains at least one pointer to a **process image**. + - ### Process Image #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:35:15.847Z + card-last-score:: 1 + collapsed:: true + - The **Process Image** contains: + - **Stack** + collapsed:: true + - Each process has one or more stack(s) associated with it. + - A **stack** is used to store parameters & calling addresses for procedure & system calls. + - **User Data** + collapsed:: true + - Program data that can be modified, etc. + - **Process Control Block** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:50:51.394Z + card-last-score:: 1 + collapsed:: true + - Data needed by the OS to control the process (attributes & information about the process). + - Contains: + - **Process Identification:** The data always includes a unique identifier for the process. + - Numeric identifiers that may be stored with the **Process Control Block** include the **identifier of this process**, the **identifier of the process that created this process** (parent process), and the **User Identifier**. + - **Processor State Information:** Defines the status of a process when it is suspended. + - **User-Visible Registers** + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-08T15:22:36.520Z + - What is a **User-Visible Register**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:43:17.781Z + card-last-score:: 1 + - A **user-visible register** is one that may be referenced by means of the machine language that the processor executes. + - **Control & Status Registers** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:37:21.786Z + card-last-score:: 1 + - These are a variety of processor registers that are employed to control the operation of the processor. These include: + - **Program Counter:** Contains the address of the next instruction to be fetched. + - **Condition Codes:** Result of the most recent arithmetic or logical operation. + - **Status Information:** Includes interrupt enabled/disabled flags, execution mode. + - **Stack Pointers** + - Each process has one or more LIFO system stacks associated with it. A stack is used to store parameters & calling addresses for procedure & system calls. + - The stack pointer points to the top of the stack. + - **Processor Control Information:** Used by the OS to manage the process. + - **Scheduling & State Information** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:35:08.265Z + card-last-score:: 1 + - This is information that is needed by the operating system to perform its scheduling function. Typical items of information include: + - **Process State:** Defines the readiness of the process to be scheduled for execution (e.g., running, ready, waiting, halted). + - **Priority:** One or more fields may be used to describe the scheduling priority of the process. In some systems, several values are required (e.g., default, current, highest-allowable). + - **Scheduling-Related Information:** This will depend on the scheduling algorithm used. Examples are the amount of time that the process has been waiting an the amount of time that the process executed the last time it was running. + - **Event:** Identity of the even the process is awaiting before it can be resumed. + - **Data Structuring:** A process may be linked to another process in a queue or other structure. + - **Inter-Process Communication:** Various flags, signals, & messages may be associated with communication between two independent processes. + - **Process Privileges:** Processes are granted privileges in terms of the memory that may be accessed and the types of instruction that may be executed. In addition, privileges may apply to the use of system utilities & services. + - **Memory Management:** This section may include pointers to segment and/or page tables that describe the virtual memory assigned to this process. + - **Resource Ownership & Utilisation:** resources controlled by the processes may be indicated, such as opened files. A history of utilisation of the processor or other resources may also be included. + - This information may be needed by the scheduler. + - +- ## Threads & Processes + - A **process** is sometimes defined as a *heavyweight process*. + - A **thread** is defined as a *lightweight process*. + - Separate two ideas: + - **Process:** Ownership of memory, files, other resources. + - Execution of applications. + - **Thread:** Unit of execution we use to dispatch. + - Share the same address space hence we can read from and write to the same data structures. + - What is **multithreading**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:36:55.022Z + card-last-score:: 1 + - **Multithreading** allows multiple threads per process. + - What is a **thread**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:17:23.106Z + card-last-reviewed:: 2022-10-07T10:17:23.106Z + card-last-score:: 5 + - A **thread** is a unit of computation associated with a particular heavyweight process, using many of the associated process's resources. + - It has a minimum of internal state & a minimum of allocated resources. + - A group of threads are share the same resources. + - e.g., files, memory space, etc. + - The **process** is the execution environment for a family of threads. + - A process with one thread is a **classic process**. + - Each thread has an individual execution state. + - Each thread has a control block, with a state (Running / Blocked / etc.), saved registers, an instruction pointer. + - There is a separate stack & hardware state (PC, registers, PSW, etc.) per thread. + - Shares memory & files with other threads that are in that process. + - Faster to create a thread than a process. + - ![image.png](../assets/image_1664209742517_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-11-23T09_22_44.503Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-11-23T09_22_44.503Z.Desktop.md new file mode 100644 index 00000000..fc87b7d4 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-11-23T09_22_44.503Z.Desktop.md @@ -0,0 +1,407 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[System Software & Operating Systems]] +- **Next Topic:** [[CPU Management - Scheduling]] +- **Relevant Slides:** ![Lecture 4.pdf](../assets/Lecture_4_1664197052447_0.pdf) +- +- # Programs & Processes + - What is a **Program**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:29:07.510Z + card-last-score:: 1 + - A **Program** is a static entity made up of source program language statements that define process behaviour when executed on a set of data. + - What is a **Process**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:39:13.229Z + card-last-score:: 1 + - A **Process** is a dynamic entity that executes a program on a particular set of data using resources allocated by the system. + - Two or more processes could execute the same program, each using its own data & resources. + - It is a ^^program in execution.^^ + - It is composed of: + - Program. + - Data. + - **Process Control Block (PCB)**: contains the state of the process in execution. + - ## Process Execution #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:14:34.752Z + card-last-score:: 1 + - In order to execute, a process needs an **Abstract Machine Environment** to manage its use of resources. + - The **Process Control Block (PCB)** is required to map the environment state onto the physical machine state. + - The OS keeps a **process descriptor** for each process. + - ![image.png](../assets/image_1664197421384_0.png) + - ## Program Execution #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:09:10.088Z + card-last-score:: 1 + - Each execution of a program generates a process that is executed. + - Inter-process relationships: + - **Competition:** Processes are trying to get access to the same resources of the system, therefore a protection between processes is necessary. + - **Cooperation:** Sometimes the processes need to communicate between themselves and exchange information - synchronisation is needed. + - ## Process Manager #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-11-17T20:18:15.885Z + - What does the **Process Manager** do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:13:51.555Z + card-last-score:: 1 + - The **Process Manager** implements: + - **CPU Sharing** (called *scheduling*): Allocate resources to processes in conformance with certain policies. + - **Process Synchronisation** & **Inter-Process Communication**: Deadlock strategies & protection mechanisms. + - ![image.png](../assets/image_1664197699342_0.png) + - ## Process - User Perspective + - When processes are executed in a quasi-parallel fashion, the processes need to synchronise to each other for correct functionality - this is done with directives `wait`/`signal`. + - `wait`- wait for a signal from a specific process. + - `signal` - send a signal to a specific process. + - ## Process - OS Perspective #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:49.152Z + card-last-score:: 1 + - The processor's principle function is to execute machine instruction residing in main memory. + - These instructions are provided in the form of *programs*. + - A processor may interleave the execution of a number of programs over time. + - ### Program View + - Its execution involves a sequence of instructions within that progam. + - The behaviour of individual processes can be characterised by a sequence of instructions called the ***trace*** of the process. + - ### Processor View + - The processor executes instructions from main memory, as dictated by changing values in the Program Counter (PC) register. + - The behaviour of the processor can be characterised by showing how the traces of various processes are **interleaved**. + - ## State Process Models + - ### Two-State Process Model #card + card-last-interval:: 15.48 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-30T07:19:45.198Z + card-last-reviewed:: 2022-11-14T20:19:45.199Z + card-last-score:: 3 + - The process can be in one of two states: *running* or not *running*. + - When the OS creates a new process, it enters into the *not running* state; after that, the process exists - it is known to the OS and waits for the opportunity to run. + - From time to time, the currently running process will be interrupted and the dispatcher process will select a new process to run. + - The new process will be moved to the *running* state and the former one to the *not running* state. + - #### Two-State Model Queuing Discipline #card + card-last-interval:: 1.01 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T20:13:25.916Z + card-last-reviewed:: 2022-11-14T20:13:25.916Z + card-last-score:: 3 + - Each process needs to be represented. + - Information relating to each process, including current state & location in memory. + - Waiting processes should be kept in some kind of queue. + - List of pointers to processes blocks. + - Linked list of data blocks, each block representing a process. + - Dispatcher behaviour: + - An interrupted process is transferred to the *waiting queue*. + - If the process is completed or aborted, it is discarded. + - The dispatcher selects a process from the queue to execute. + - ### Five-State Process Model #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T16:27:46.160Z + card-last-reviewed:: 2022-11-14T16:27:46.161Z + card-last-score:: 3 + - **Running:** The process is currently being executed. + - For single-processor systems, one single process can be in this state at a time. + - **Ready:** The process is prepared to execute when given the turn. + - **Blocked:** The process cannot execute until some event occurs. + - Such as the completion of an I/O operation. + - **New:** The process has been created, but has not yet been accepted in the pool of executable processes by the OS. + - Typically, a new process has not yet been loaded into main memory. + - **Exit:** The process has been released from the pool of executable processes by the OS. + - Completed or due to some errors. + - #### Five-State Model Process Transition Diagram + - ![image.png](../assets/image_1664199064013_0.png) + - #### Five-State Model Queuing Discipline #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:38.089Z + card-last-score:: 1 + - There are two types of queues: the **ready queue** & the **blocked queue**. + - When a process is admitted into the system, it is placed in the **ready** queue. + - When a process is removed from the processor, it is either placed in the **ready** queue or the **blocked** queue, depending on the circumstances. + - When an event occurs, all the processes waiting on that event are moved from the **blocked** queue into the **ready** queue. + - ![image.png](../assets/image_1664199424570_0.png) + - There are multiple **blocked** queues - one per event. + - When the event occurs, the entire list of processes is moved to the **ready** queue. + - ![image.png](../assets/image_1664199491346_0.png) + - #### Suspended Processes #card + card-last-interval:: 0.79 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T10:27:13.430Z + card-last-reviewed:: 2022-11-14T16:27:13.430Z + card-last-score:: 3 + - The processor is faster than I/O so all the processes could be waiting for I/O. + - You can swap these processes to the disk to free up some memory. + - The *blocked* state becomes the *suspended* state when swapped to the disk. + - ![image.png](../assets/image_1664199613805_0.png) + - ## Process Creation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:35:10.727Z + card-last-score:: 1 + - Creation of new processes: + - The OS builds the data structures that are used to manage the process. + - The OS allocates space in main memory to the process. + - Reasons for process creation: + - New batch job. + - Interactive logon. + - Created by OS to provide a service. + - i.e., process to control printing. + - Spawned by existing process. + - i.e., to exploit parallelism. + - ## Process Termination + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-08T15:27:20.789Z + - Reasons for **Process Termination**: #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-23T13:37:45.614Z + card-last-reviewed:: 2022-11-14T16:37:45.615Z + card-last-score:: 3 + - Process finished its execution (**natural completion**). + - Total time limit exceeded. + - Errors (memory unavailable, arithmetic error, protection error, invalid instruction, privileged instruction, I/O failure, etc.). + - ## Process Management Services #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:43:04.324Z + card-last-score:: 1 + - `create(&process_id, attributes)` + - Creates a new process with implicit or specified attributes. + - `delete(process_id)` + - Sometimes known as `destroy`, `terminate`, or `exit`. + - Ends the process specified by `process_id`. + - Whenever the process is terminated, all the files are closed, and all the allocated resources are released. + - `abort(process_id)` + - The same as `delete` but for *abnormal termination*. + - Usually generates a "**post-mortem dump**" which contains the state of the process before the abnormal termination. + - `suspend(process_id)` + - Puts the specified process into a **suspended** state. + - `resume(process_id)` + - Moves the specified process from the *suspended* state to the *ready* state. + - `delay(process_id, time)` + - Suspends the specified process for a specified period of time. + - After the delay time elapses, the process is moved to the ready state. + - `get_attribtutes(process_id, &buffer_attributes)` + - Used to find out the attributes for the given process. + - `set_attributes(process_id, buffer_attributes)` + - Used to set the attributes of the specified process. + - + - ## Process Description + - ### OS Control Structures #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:10.635Z + card-last-score:: 1 + - #### Memory Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:25.598Z + card-last-score:: 1 + collapsed:: true + - **Memory Tables** are used to keep track of both main (real) and secondary (virtual) memory. + collapsed:: true + - Some of the main memory is reserved for use by the OS, the remainder is available to the processes. + - Memory Tables contain: + - The allocation of main memory to processes. + - The allocation of secondary memory to processes. + - Any *protection* attributes of blocks of main or virtual memory (such as which processes can access certain shared memory regions). + - Any information needed to manage virtual memory. + - #### I/O Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:35:16.384Z + card-last-score:: 1 + collapsed:: true + - **I/O Tables** are used by the OS to manage the I/O devices. + - At any given time, an I/O device may be available or assigned to a particular process. + - If an I/O operation is in progress, the OS needs to know the status of the I/O operation and the location in main memory being used as the source or destination of the I/O transfer. + - #### File Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T19:40:13.935Z + card-last-score:: 1 + collapsed:: true + - **File Tables** provide information about: + - The existence of files. + - Their location in secondary memory. + - Their current status. + - Other attributes. + - Much of this information is maintained & managed by the **File Manager**, in which case the process manager has little or no knowledge of files. + - ### Process Tables + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-07T10:23:42.819Z + collapsed:: true + - What is the **Primary Process Table**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:29.312Z + card-last-score:: 1 + - The **Primary Process Table** keeps one entry per each process in the operating system. + - Each entry contains at least one pointer to a **process image**. + - ### Process Image #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:31.530Z + card-last-score:: 1 + collapsed:: true + - The **Process Image** contains: + - **Stack** + collapsed:: true + - Each process has one or more stack(s) associated with it. + - A **stack** is used to store parameters & calling addresses for procedure & system calls. + - **User Data** + collapsed:: true + - Program data that can be modified, etc. + - **Process Control Block** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:16:30.724Z + card-last-score:: 1 + collapsed:: true + - Data needed by the OS to control the process (attributes & information about the process). + - Contains: + - **Process Identification:** The data always includes a unique identifier for the process. + - Numeric identifiers that may be stored with the **Process Control Block** include the **identifier of this process**, the **identifier of the process that created this process** (parent process), and the **User Identifier**. + - **Processor State Information:** Defines the status of a process when it is suspended. + - **User-Visible Registers** + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-08T15:22:36.520Z + - What is a **User-Visible Register**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:49:41.863Z + card-last-score:: 1 + - A **user-visible register** is one that may be referenced by means of the machine language that the processor executes. + - **Control & Status Registers** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:08:22.338Z + card-last-score:: 1 + - These are a variety of processor registers that are employed to control the operation of the processor. These include: + - **Program Counter:** Contains the address of the next instruction to be fetched. + - **Condition Codes:** Result of the most recent arithmetic or logical operation. + - **Status Information:** Includes interrupt enabled/disabled flags, execution mode. + - **Stack Pointers** + - Each process has one or more LIFO system stacks associated with it. A stack is used to store parameters & calling addresses for procedure & system calls. + - The stack pointer points to the top of the stack. + - **Processor Control Information:** Used by the OS to manage the process. + - **Scheduling & State Information** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:18.371Z + card-last-score:: 1 + - This is information that is needed by the operating system to perform its scheduling function. Typical items of information include: + - **Process State:** Defines the readiness of the process to be scheduled for execution (e.g., running, ready, waiting, halted). + - **Priority:** One or more fields may be used to describe the scheduling priority of the process. In some systems, several values are required (e.g., default, current, highest-allowable). + - **Scheduling-Related Information:** This will depend on the scheduling algorithm used. Examples are the amount of time that the process has been waiting an the amount of time that the process executed the last time it was running. + - **Event:** Identity of the even the process is awaiting before it can be resumed. + - **Data Structuring:** A process may be linked to another process in a queue or other structure. + - **Inter-Process Communication:** Various flags, signals, & messages may be associated with communication between two independent processes. + - **Process Privileges:** Processes are granted privileges in terms of the memory that may be accessed and the types of instruction that may be executed. In addition, privileges may apply to the use of system utilities & services. + - **Memory Management:** This section may include pointers to segment and/or page tables that describe the virtual memory assigned to this process. + - **Resource Ownership & Utilisation:** resources controlled by the processes may be indicated, such as opened files. A history of utilisation of the processor or other resources may also be included. + - This information may be needed by the scheduler. + - +- ## Threads & Processes + - A **process** is sometimes defined as a *heavyweight process*. + - A **thread** is defined as a *lightweight process*. + - Separate two ideas: + - **Process:** Ownership of memory, files, other resources. + - Execution of applications. + - **Thread:** Unit of execution we use to dispatch. + - Share the same address space hence we can read from and write to the same data structures. + - What is **multithreading**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:15:51.123Z + card-last-score:: 1 + - **Multithreading** allows multiple threads per process. + - What is a **thread**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:35:09.592Z + card-last-score:: 1 + - A **thread** is a unit of computation associated with a particular heavyweight process, using many of the associated process's resources. + - It has a minimum of internal state & a minimum of allocated resources. + - A group of threads are share the same resources. + - e.g., files, memory space, etc. + - The **process** is the execution environment for a family of threads. + - A process with one thread is a **classic process**. + - Each thread has an individual execution state. + - Each thread has a control block, with a state (Running / Blocked / etc.), saved registers, an instruction pointer. + - There is a separate stack & hardware state (PC, registers, PSW, etc.) per thread. + - Shares memory & files with other threads that are in that process. + - Faster to create a thread than a process. + - ![image.png](../assets/image_1664209742517_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-11-23T12_15_36.870Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-11-23T12_15_36.870Z.Desktop.md new file mode 100644 index 00000000..fc87b7d4 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Process Management/2022-11-23T12_15_36.870Z.Desktop.md @@ -0,0 +1,407 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[System Software & Operating Systems]] +- **Next Topic:** [[CPU Management - Scheduling]] +- **Relevant Slides:** ![Lecture 4.pdf](../assets/Lecture_4_1664197052447_0.pdf) +- +- # Programs & Processes + - What is a **Program**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:29:07.510Z + card-last-score:: 1 + - A **Program** is a static entity made up of source program language statements that define process behaviour when executed on a set of data. + - What is a **Process**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:39:13.229Z + card-last-score:: 1 + - A **Process** is a dynamic entity that executes a program on a particular set of data using resources allocated by the system. + - Two or more processes could execute the same program, each using its own data & resources. + - It is a ^^program in execution.^^ + - It is composed of: + - Program. + - Data. + - **Process Control Block (PCB)**: contains the state of the process in execution. + - ## Process Execution #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:14:34.752Z + card-last-score:: 1 + - In order to execute, a process needs an **Abstract Machine Environment** to manage its use of resources. + - The **Process Control Block (PCB)** is required to map the environment state onto the physical machine state. + - The OS keeps a **process descriptor** for each process. + - ![image.png](../assets/image_1664197421384_0.png) + - ## Program Execution #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:09:10.088Z + card-last-score:: 1 + - Each execution of a program generates a process that is executed. + - Inter-process relationships: + - **Competition:** Processes are trying to get access to the same resources of the system, therefore a protection between processes is necessary. + - **Cooperation:** Sometimes the processes need to communicate between themselves and exchange information - synchronisation is needed. + - ## Process Manager #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-11-17T20:18:15.885Z + - What does the **Process Manager** do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:13:51.555Z + card-last-score:: 1 + - The **Process Manager** implements: + - **CPU Sharing** (called *scheduling*): Allocate resources to processes in conformance with certain policies. + - **Process Synchronisation** & **Inter-Process Communication**: Deadlock strategies & protection mechanisms. + - ![image.png](../assets/image_1664197699342_0.png) + - ## Process - User Perspective + - When processes are executed in a quasi-parallel fashion, the processes need to synchronise to each other for correct functionality - this is done with directives `wait`/`signal`. + - `wait`- wait for a signal from a specific process. + - `signal` - send a signal to a specific process. + - ## Process - OS Perspective #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:49.152Z + card-last-score:: 1 + - The processor's principle function is to execute machine instruction residing in main memory. + - These instructions are provided in the form of *programs*. + - A processor may interleave the execution of a number of programs over time. + - ### Program View + - Its execution involves a sequence of instructions within that progam. + - The behaviour of individual processes can be characterised by a sequence of instructions called the ***trace*** of the process. + - ### Processor View + - The processor executes instructions from main memory, as dictated by changing values in the Program Counter (PC) register. + - The behaviour of the processor can be characterised by showing how the traces of various processes are **interleaved**. + - ## State Process Models + - ### Two-State Process Model #card + card-last-interval:: 15.48 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-30T07:19:45.198Z + card-last-reviewed:: 2022-11-14T20:19:45.199Z + card-last-score:: 3 + - The process can be in one of two states: *running* or not *running*. + - When the OS creates a new process, it enters into the *not running* state; after that, the process exists - it is known to the OS and waits for the opportunity to run. + - From time to time, the currently running process will be interrupted and the dispatcher process will select a new process to run. + - The new process will be moved to the *running* state and the former one to the *not running* state. + - #### Two-State Model Queuing Discipline #card + card-last-interval:: 1.01 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T20:13:25.916Z + card-last-reviewed:: 2022-11-14T20:13:25.916Z + card-last-score:: 3 + - Each process needs to be represented. + - Information relating to each process, including current state & location in memory. + - Waiting processes should be kept in some kind of queue. + - List of pointers to processes blocks. + - Linked list of data blocks, each block representing a process. + - Dispatcher behaviour: + - An interrupted process is transferred to the *waiting queue*. + - If the process is completed or aborted, it is discarded. + - The dispatcher selects a process from the queue to execute. + - ### Five-State Process Model #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T16:27:46.160Z + card-last-reviewed:: 2022-11-14T16:27:46.161Z + card-last-score:: 3 + - **Running:** The process is currently being executed. + - For single-processor systems, one single process can be in this state at a time. + - **Ready:** The process is prepared to execute when given the turn. + - **Blocked:** The process cannot execute until some event occurs. + - Such as the completion of an I/O operation. + - **New:** The process has been created, but has not yet been accepted in the pool of executable processes by the OS. + - Typically, a new process has not yet been loaded into main memory. + - **Exit:** The process has been released from the pool of executable processes by the OS. + - Completed or due to some errors. + - #### Five-State Model Process Transition Diagram + - ![image.png](../assets/image_1664199064013_0.png) + - #### Five-State Model Queuing Discipline #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:38.089Z + card-last-score:: 1 + - There are two types of queues: the **ready queue** & the **blocked queue**. + - When a process is admitted into the system, it is placed in the **ready** queue. + - When a process is removed from the processor, it is either placed in the **ready** queue or the **blocked** queue, depending on the circumstances. + - When an event occurs, all the processes waiting on that event are moved from the **blocked** queue into the **ready** queue. + - ![image.png](../assets/image_1664199424570_0.png) + - There are multiple **blocked** queues - one per event. + - When the event occurs, the entire list of processes is moved to the **ready** queue. + - ![image.png](../assets/image_1664199491346_0.png) + - #### Suspended Processes #card + card-last-interval:: 0.79 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T10:27:13.430Z + card-last-reviewed:: 2022-11-14T16:27:13.430Z + card-last-score:: 3 + - The processor is faster than I/O so all the processes could be waiting for I/O. + - You can swap these processes to the disk to free up some memory. + - The *blocked* state becomes the *suspended* state when swapped to the disk. + - ![image.png](../assets/image_1664199613805_0.png) + - ## Process Creation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:35:10.727Z + card-last-score:: 1 + - Creation of new processes: + - The OS builds the data structures that are used to manage the process. + - The OS allocates space in main memory to the process. + - Reasons for process creation: + - New batch job. + - Interactive logon. + - Created by OS to provide a service. + - i.e., process to control printing. + - Spawned by existing process. + - i.e., to exploit parallelism. + - ## Process Termination + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-08T15:27:20.789Z + - Reasons for **Process Termination**: #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-23T13:37:45.614Z + card-last-reviewed:: 2022-11-14T16:37:45.615Z + card-last-score:: 3 + - Process finished its execution (**natural completion**). + - Total time limit exceeded. + - Errors (memory unavailable, arithmetic error, protection error, invalid instruction, privileged instruction, I/O failure, etc.). + - ## Process Management Services #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:43:04.324Z + card-last-score:: 1 + - `create(&process_id, attributes)` + - Creates a new process with implicit or specified attributes. + - `delete(process_id)` + - Sometimes known as `destroy`, `terminate`, or `exit`. + - Ends the process specified by `process_id`. + - Whenever the process is terminated, all the files are closed, and all the allocated resources are released. + - `abort(process_id)` + - The same as `delete` but for *abnormal termination*. + - Usually generates a "**post-mortem dump**" which contains the state of the process before the abnormal termination. + - `suspend(process_id)` + - Puts the specified process into a **suspended** state. + - `resume(process_id)` + - Moves the specified process from the *suspended* state to the *ready* state. + - `delay(process_id, time)` + - Suspends the specified process for a specified period of time. + - After the delay time elapses, the process is moved to the ready state. + - `get_attribtutes(process_id, &buffer_attributes)` + - Used to find out the attributes for the given process. + - `set_attributes(process_id, buffer_attributes)` + - Used to set the attributes of the specified process. + - + - ## Process Description + - ### OS Control Structures #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:10.635Z + card-last-score:: 1 + - #### Memory Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:25.598Z + card-last-score:: 1 + collapsed:: true + - **Memory Tables** are used to keep track of both main (real) and secondary (virtual) memory. + collapsed:: true + - Some of the main memory is reserved for use by the OS, the remainder is available to the processes. + - Memory Tables contain: + - The allocation of main memory to processes. + - The allocation of secondary memory to processes. + - Any *protection* attributes of blocks of main or virtual memory (such as which processes can access certain shared memory regions). + - Any information needed to manage virtual memory. + - #### I/O Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:35:16.384Z + card-last-score:: 1 + collapsed:: true + - **I/O Tables** are used by the OS to manage the I/O devices. + - At any given time, an I/O device may be available or assigned to a particular process. + - If an I/O operation is in progress, the OS needs to know the status of the I/O operation and the location in main memory being used as the source or destination of the I/O transfer. + - #### File Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T19:40:13.935Z + card-last-score:: 1 + collapsed:: true + - **File Tables** provide information about: + - The existence of files. + - Their location in secondary memory. + - Their current status. + - Other attributes. + - Much of this information is maintained & managed by the **File Manager**, in which case the process manager has little or no knowledge of files. + - ### Process Tables + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-07T10:23:42.819Z + collapsed:: true + - What is the **Primary Process Table**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:29.312Z + card-last-score:: 1 + - The **Primary Process Table** keeps one entry per each process in the operating system. + - Each entry contains at least one pointer to a **process image**. + - ### Process Image #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:31.530Z + card-last-score:: 1 + collapsed:: true + - The **Process Image** contains: + - **Stack** + collapsed:: true + - Each process has one or more stack(s) associated with it. + - A **stack** is used to store parameters & calling addresses for procedure & system calls. + - **User Data** + collapsed:: true + - Program data that can be modified, etc. + - **Process Control Block** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:16:30.724Z + card-last-score:: 1 + collapsed:: true + - Data needed by the OS to control the process (attributes & information about the process). + - Contains: + - **Process Identification:** The data always includes a unique identifier for the process. + - Numeric identifiers that may be stored with the **Process Control Block** include the **identifier of this process**, the **identifier of the process that created this process** (parent process), and the **User Identifier**. + - **Processor State Information:** Defines the status of a process when it is suspended. + - **User-Visible Registers** + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-08T15:22:36.520Z + - What is a **User-Visible Register**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:49:41.863Z + card-last-score:: 1 + - A **user-visible register** is one that may be referenced by means of the machine language that the processor executes. + - **Control & Status Registers** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:08:22.338Z + card-last-score:: 1 + - These are a variety of processor registers that are employed to control the operation of the processor. These include: + - **Program Counter:** Contains the address of the next instruction to be fetched. + - **Condition Codes:** Result of the most recent arithmetic or logical operation. + - **Status Information:** Includes interrupt enabled/disabled flags, execution mode. + - **Stack Pointers** + - Each process has one or more LIFO system stacks associated with it. A stack is used to store parameters & calling addresses for procedure & system calls. + - The stack pointer points to the top of the stack. + - **Processor Control Information:** Used by the OS to manage the process. + - **Scheduling & State Information** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:18.371Z + card-last-score:: 1 + - This is information that is needed by the operating system to perform its scheduling function. Typical items of information include: + - **Process State:** Defines the readiness of the process to be scheduled for execution (e.g., running, ready, waiting, halted). + - **Priority:** One or more fields may be used to describe the scheduling priority of the process. In some systems, several values are required (e.g., default, current, highest-allowable). + - **Scheduling-Related Information:** This will depend on the scheduling algorithm used. Examples are the amount of time that the process has been waiting an the amount of time that the process executed the last time it was running. + - **Event:** Identity of the even the process is awaiting before it can be resumed. + - **Data Structuring:** A process may be linked to another process in a queue or other structure. + - **Inter-Process Communication:** Various flags, signals, & messages may be associated with communication between two independent processes. + - **Process Privileges:** Processes are granted privileges in terms of the memory that may be accessed and the types of instruction that may be executed. In addition, privileges may apply to the use of system utilities & services. + - **Memory Management:** This section may include pointers to segment and/or page tables that describe the virtual memory assigned to this process. + - **Resource Ownership & Utilisation:** resources controlled by the processes may be indicated, such as opened files. A history of utilisation of the processor or other resources may also be included. + - This information may be needed by the scheduler. + - +- ## Threads & Processes + - A **process** is sometimes defined as a *heavyweight process*. + - A **thread** is defined as a *lightweight process*. + - Separate two ideas: + - **Process:** Ownership of memory, files, other resources. + - Execution of applications. + - **Thread:** Unit of execution we use to dispatch. + - Share the same address space hence we can read from and write to the same data structures. + - What is **multithreading**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:15:51.123Z + card-last-score:: 1 + - **Multithreading** allows multiple threads per process. + - What is a **thread**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:35:09.592Z + card-last-score:: 1 + - A **thread** is a unit of computation associated with a particular heavyweight process, using many of the associated process's resources. + - It has a minimum of internal state & a minimum of allocated resources. + - A group of threads are share the same resources. + - e.g., files, memory space, etc. + - The **process** is the execution environment for a family of threads. + - A process with one thread is a **classic process**. + - Each thread has an individual execution state. + - Each thread has a control block, with a state (Running / Blocked / etc.), saved registers, an instruction pointer. + - There is a separate stack & hardware state (PC, registers, PSW, etc.) per thread. + - Shares memory & files with other threads that are in that process. + - Faster to create a thread than a process. + - ![image.png](../assets/image_1664209742517_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-09T13_03_58.133Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-09T13_03_58.133Z.Desktop.md new file mode 100644 index 00000000..9a58f32c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-09T13_03_58.133Z.Desktop.md @@ -0,0 +1,453 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[CPU Management - Scheduling]] +- **Next Topic:** [[Memory Management]] +- **Relevant Slides:** ![Lecture 6.pdf](../assets/Lecture_6_1665406709809_0.pdf) +- +- # Concurrent Programming + collapsed:: true + - What are **Concurrent Programs**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-19T10:56:45.458Z + card-last-reviewed:: 2022-10-18T11:56:45.458Z + card-last-score:: 3 + - **Concurrent Programs** are interleaving sets of sequential atomic instructions. + - i.e., interacting sequential processes that run at the same time, on the same or different processors. + - Processes are **interleaved** - at any time, each processor runs an instruction of the sequential processes. + - ## Correctness + - Generalisation: A program will be correct if its preconditions hold, as then its post conditions will also hold. + - A concurrent program must be correct under ^^all possible **interleavings**.^^ + - If all the maths is done in registers, then the results will depend on **interleaving** (indeterminate calculation). + - This dependency on unforeseen circumstances is known as a **Race Condition**. + - What is a **Race Condition**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:50.090Z + card-last-score:: 1 + - A **Race Condition** occurs when a program output is dependent on the sequence or timing of code execution. + - If multiple processes of execution enter a **critical section** at about the same time, both will attempt to update the shared data structure. + - This will lead to surprising & undesirable results. + - You must work to avoid this with concurrent code. + - If we get different results every time we run some code, the result is **indeterminate**. + - What is a **Critical Section**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-19T07:27:24.102Z + card-last-reviewed:: 2022-10-18T08:27:24.103Z + card-last-score:: 3 + - A **critical section** is a part of a program where a shared resource is accessed. + - A critical section must be protected in ways that avoid concurrent access. + - What are **Deterministic Computations**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:36:09.807Z + card-last-score:: 1 + - **Deterministic Computations** have the same result each time. + - We want deterministic concurrent code. + - We can use synchronisation mechanisms. + - ### Handling Race Conditions + - We need a mechanism to control access to shared resources in concurrent code - **Synchronisation** is necessary for any shared data structure. + - The idea is to focus on the critical sections of the code, i.e., sections that access shared resources. + - We want critical sections to run with **mutual exclusion** - only one process should be able to execute that code at the same time. + - #### Critical Section Properties #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-17T23:00:00.000Z + card-last-reviewed:: 2022-10-17T13:27:38.061Z + card-last-score:: 1 + - **Mutual Exclusion:** Only one process can access the critical section at a time. + - **Guarantee of Progress:** Processes outside the critical section cannot stop another from entering it. + - **Bounded Waiting:** A process waiting to enter the critical section will eventually enter. + - Processes in the critical section will eventually leave. + - **Performance:** The overhead of entering / exiting should be small. + - **Fair:** Don't make certain processes wait much longer than others. + - #### Atomicity #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:35.061Z + card-last-score:: 1 + - Basic atomicity is provided by the hardware. + - E.g., References & Assignments (i.e., read & write operations) are atomic in all CPUs. + - However, higher-level constructs (i.e., any sequence of two or more CPU instructions) are not atomic in general. + - Some languages (e.g., Java) have mechanisms to specify multiple instructions as atomic. + - #### Conditional Synchronisation + - Strategy: Person $A$ writes a rough draft and then Person $B$ edits it. + - $A$ & $B$ cannot write at the same time (as they are working on different versions of the paper). + - We must ensure that $B$ cannot start until $A$ is finished. + - ![image.png](../assets/image_1665408592493_0.png) + - +- # Mutual Exclusion Solutions + collapsed:: true + - ## Locks + collapsed:: true + - What is a **lock**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:22:27.130Z + card-last-score:: 1 + - A **lock** is a token that you need to enter a critical section of code. + - If a process wants to execute a critical section, it must have the lock. + - Need to ask for lock. + - Need to release lock. + - There are no restrictions on executing other code. + - ![image.png](../assets/image_1665408998543_0.png) + - ### Lock States & Operation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:24.868Z + card-last-score:: 1 + - Locks have 2 states: + - **Held:** Some process is in the critical section. + - **Not Held:** No process is in the critical section. + - Locks have 2 operations: + - **Acquire:** Mark lock as held or wait until released. If not **held**, this is executed immediately. + - If many processes call acquire, only one process can get the lock. + - **Release:** Mark lock as **not held**. + - ### Using Locks #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:14.291Z + card-last-score:: 1 + - Locks are declared like variables. + - `Lock myLock;` + - A program can use multiple locks. + - To use a lock, surround the critical section as follows: + - Call `acquire()` at the start of the critical section. + id:: 63442116-a2c1-4c25-9309-e880471bb359 + - Call `release()` at the end of the critical section. + - ![image.png](../assets/image_1665409357957_0.png) + - ### Lock Benefits #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:26:03.658Z + card-last-score:: 1 + - Only one process can execute the critical section code at a time. + - When a process is finished (& calls `release()`), another process can enter the critical section. + - Achieves the requirements of **mutual exclusion** & **progress** for concurrent systems. + - ### Lock Limitations #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:22:16.629Z + card-last-score:: 1 + - Acquiring a lock only blocks processes trying to acquire the *same* lock. + - Process may acquire other locks. + - ^^You must use the same lock for all critical sections accessing the same data (or resource).^^ + - ### Hardware-Based Lock + - Processor has a special instruction called "test & set". + - Allows atomic read **and** update. + - ```c + //c code for test and set behaviour + bool test_and_set (bool *flag) { + bool old = *flag; + *flag = true; + return old; + } + ``` + - #### Hardware-Based Spinlock + - ```c + struct lock { + bool held; //initially FALSE + } + void acquire(lock) { + while(test_and_set(&lock->held)) + ; //just wait + return; + } + void release(lock) { + lock->held = FALSE; + } + ``` + - #### Drawbacks of Spinlocks #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-22T03:46:00.445Z + card-last-reviewed:: 2022-10-19T08:46:00.446Z + card-last-score:: 5 + - Spinlocks are a form of **busy waiting** -> they burn CPU time. + - Once acquired, they are held until explicitly released. + - Inefficient if the lock is held for long periods. + - OS overhead of context switching. + - If the Process Scheduler makes processes sleep while the lock is held, all other processes use their CPU time to spin while the process with the lock make no progress. + - ### Do locks give us sufficient safety? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:27:35.977Z + card-last-score:: 1 + - If you can demonstrate *any* cases in which the following properties do not hold, then the system is **not correct**. + - 1. **Check Safety Properties:** These must *always* be true. + - **Mutual Exclusion:** Two processes must not interleave certain sequences of instructions. + - **Absence of Deadlock:** **Deadlock** is when a non-terminating system cannot respond to any signal. + - 2. **Check Liveness Properties:** These must *eventually* be true. + - **Absence of Starvation:** Information that is sent is delivered. + - **Fairness:** Any contention must be resolved. + - ### Lock Deadlock Scenario + - ![image.png](../assets/image_1665411940127_0.png) + - ### Protocols to Avoid Deadlock #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T11:54:54.328Z + card-last-score:: 1 + - Add a timer to the `lock.request()` method. + - Cancel the job & attempt it another time if it takes too long. + - Add a new `lock.check()` method to see if a lock is already held before requesting it. + - You can do something else and come back & check again. + - Avoid hold & wait protocol. + - Never hold onto one resource when you need two. + - ### Livelock by trying to avoid deadlock + - ![image.png](../assets/image_1665412210604_0.png) + - ### Starvation + - What is **Starvation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:27.898Z + card-last-score:: 1 + - **Starvation** is a more general case of livelock. + - One or more processes do not get run as another process is locking the resource. + - ### Locks / Critical Sections & Reliability + - What if a process is interrupted, suspended, or crashes inside its critical section? #card + - In the middle of the critical section, the system may be in an inconsistent state. The process is holding a lock, and if it dies, no other process waiting on that lock can proceed. + - Developers must ensure that critical regions are very short and always terminate. + - ### Beyond Locks + - Locks only provide **mutual exclusion**. + - They ensure that only one process is in the critical section at a time. + - Locks are good for protecting our shared resource to prevent race conditions & avoid non-deterministic execution. + - What about fairness, avoiding starvation, & livelock? + - We need to be able to place an ordering on the scheduling of a process. + - + - ## Semaphores + collapsed:: true + - Example: We want to place an order on when processes execute. + background-color:: green + - Producer-Consumer: + - Producer: Creates a resource (data). + - Consumer: Uses a resource (data). + - E.g.: `ps | grep "gcc" | wc`. + - Don't want producers & consumers to operate in **lockstep** (i.e., atomicity). + - Each command must wait for the previous output. + - Implies lots of context switching (i.e., very expensive). + - ^^**Solution:** Place a fixed-size buffer between producers & consumers.^^ + - ^^Synchronise access to buffer.^^ + - ^^Producer waits if the buffer is full; the consumer waits if the buffer is empty.^^ + - What is a **semaphore**? #card + - A **semaphore** is a higher-level synchronisation primitive. + - Semaphores are a kind of **generalised lock**. + - They are the main synchronisation primitive used in the original UNIX. + - Semaphores are implemented with a **counter** that is manipulated atomically via 2 operations: **signal** & **wait**. + - `wait(semaphore)`: AKA `down()` or `P()`. + - **Decrement** counter. + - If counter is zero, then block until semaphore is **signalled**. + - `signal(semaphore)`: AKA `up()` or `V()`. + - **Increment** counter. + - Wake up one **waiter**, if any. + - `sem_init(semaphore, counter)`: + - Set initial counter value. + - ### Semaphore PseudoCode #card + - `wait()` & `signal()` are **critical sections**. + - Hence, they must be executed **atomically** with respect to each other. + - Each semaphore has an associated queue of processes. + - When `wait()` is called by a process: + - If the semaphore is available -> the process continues. + - If the semaphore is unavailable -> the process blocks, waits on queue. + - `signal()` opens the semaphore. + - If processes are waiting on a queue -> one process is unblocked. + - If no processes are on the queue -> the signal is remembered for the next time `wait()` is called. + - Note: Blocking processes is **not** spinning - they release the CPU to do other work. + - ```pseudocode + struct semaphore { + int value; + queue L[]; // list of processes + } + - wait (S) { + if (s.value > 0) { + s.value--; + } + else { + add this process to s.L; + block; + } + } + - signal(S) { + if (S.L != EMPTY) { + remove a process P from S.L; + wakeup(P); + } + else { + s.value++; + } + } + ``` + - ### Semaphore Initialisation + - If the semaphore is initialised to `1`: #card + - The first call to `wait` goes through -> The semaphore value goes from `1` to `0`. + - The second call to `wait` **blocks** -> The semaphore value stays at `0`, the process goes on the queue. + - If the first process calls `signal()` -> The semaphore value stays at `0` and wakes up the second process. + - The semaphore acts like a **mutex lock**. + - We can use semaphores to implement locks. + - This is called a **binary semaphore**. + - If the semaphore is initialised to `2`: #card + - The initial value of the semaphore = the number of processes that can be active at once. + - `sem_init(sem, 2)`: + - `value = 2, L = []`. + - Consider multiple processes: + - Process1: `wait(sem)`. + - `value = 1, L = []` -> P1 executes. + - Process2: `wait(sem)`. + - `value = 0, L = []` -> P2 executes. + - Process3: `wait(sem)`. + - `value = 0, L = [P3]` -> P3 blocks. + - ### Counting Semaphores #card + - Allocating a number of resources. + - Shared buffers: each time you want to access a buffer, call `wait()`. + - You are queued if there is no buffer available. + - Counter is initialised to $N$ = number resources. + - This is called a **counting semaphore**. + - Useful for **conditional synchronisation**. + - i.e., if one process is waiting for another process to finish a price of work before it continues. + - ### Semaphores for Mutual Exclusion #card + - With semaphores, guaranteeing mutual exclusion for $N$ processes is trivial. + - ```c + semaphore mutex = 1; + + void Process(int i) { + while (1) { + // Non-Critical Section Bit + wait(mutex); // grab the mutual exclusion semaphore + // Do the Critical Section Bit + signal(mutex); + } + } + + int main() { + cobegin { + Process(1); Process(2); + } + } + ``` + - ### Bounded Buffer Problem #card + collapsed:: true + - Producer-Consumer Problem: + - Buffer in memory - finite size of $N$ entries. + - A producer process inserts an entry into the buffer. + - A consumer process removes an entry from the buffer. + - Processes are **concurrent** - we must use a synchronisation mechanism to control access to shared variables describing the buffer state. + - #### Producer-Consumer Single Buffer + - Simplest case: + - Single producer process & single consumer process. + - Single shared buffer between the producer & consumer. + - Requirements: + - Consumer must wait for Producer to fill the buffer. + - Producer must wait for the Consumer to empty the buffer (if filled). + - ![image.png](../assets/image_1667814474478_0.png) + - + - ### Semaphores Can Be Hard to Use #card + - Complex patterns of resource usage. + - Cannot capture relationships with semaphores alone. + - Need extra state variables to record information. + - Produce buggy code that is hard to write. + - E.g., if one coder forgets to do `V()`/`signal()` after a critical section, the whole system can deadlock. + - ## Monitors + collapsed:: true + - What are **Monitors**? #card + - **Monitors** are an extension of the monolithic monitor used in the OS t allocate memory. + - A programming language construct that supports controlled access to shared data. + - Synchronisation code added by compiler, enforced at runtime -> less work for programmer. + - Monitors can keep track of **who** is allowed to access the shared data and **when** they can do it. + - Monitors are a higher-level construct than semaphores. + - Monitors encapsulate: + - Shared data structures. + - Procedures that operate on shared data. + - Synchronisation between concurrent processes that invoke these procedures. + - +- # Detection & Protection of Deadlock + - ## Requirements for Deadlock #card + - All four conditions must hold for deadlock to occur: + - 1. **Mutex:** At least **one** resource must be **non-shareable**. + 2. **No Pre-Emption:** Resources cannot be **pre-empted** (no way to break priority or take a resource away once allocated). + - Locks have this property. + - 3. **Hold & Wait:** There is an existing process holding a resource and waiting for another resource. + 4. **Circular Wait:** There exists a set of process $P_1, P_2, \cdots, P_N$ such that $P_1$ is waiting for $P_2$, $P_2$ is waiting for $P_3$, ..., and $P_N$ is waiting for $P_1$. + - If only three conditions hold then you can get **starvation**, but not deadlock. + - ## Deadlocks Without Locks #card + - Deadlocks can occur for any resource or any time a process waits, e.g.: + - Messages: waiting to receive a message before sending a message. + - i.e., hold & wait. + - Allocation: waiting to allocate resources before freeing another resource. + - i.e., hold & wait. + - ## Dealing with Deadlocks #card + - ### Strategy 1: Ignore #card + - Ignore the fact that deadlocks may occur. + - Write code, put nothing special in. + - Sometimes you have to reboot the system. + - May work for some unimportant or simple applications where deadlock does not occur often. + - Quite a common approach. + - ### Strategy 2: Reactive #card + - Periodically check for evidence of a deadlock. + - E.g., add timeouts to acquiring a lock, if you timeout, then it implies that deadlock has occurred and you must do something. + - Recovery actions: + - Blue screen of death & reboot computer. + - Pick a process to terminate, e.g., a low-priority one. + - Only works with some types of applications. + - May corrupt data, so the process needs to do clean-up when terminated. + - ### Strategy 3: Proactive #card + - Prevent one of the four necessary conditions for deadlock. + - No single approach is appropriate (or possible) for all circumstances. + - Need techniques for each of the four conditions. + - #### Solution 1: No Mutual Exclusion + - Make resources shareable. + - E.g., read-only files - no need for locks. + - ### Solution 2: Adding Pre-Emption + - Locks cannot be pre-empted but other pre-emptive methods are possible. + - Strategy: pre-empt resources. + - Example: If process $A$ is waiting for a resource held by process $B$, then take the resource from $B$ and give it to $A$. + - Problems: + - Only works for some resources + - E.g., CPU & Memory (using virtual memory). + - Not possible if a resource cannot be saved & restored. + - Otherwise, taking away a lock causes issues. + - Also, there is an overhead cost for "pre-empt" & "restore". + - ### Solution 3: Avoid Hold & Wait + - Only request a resource when you have none, i.e., release a resource before requesting another. + - Never hold $x$ when want $y$. + - Works in many cases, but you cannot maintain a relationship between $x$ & $y$. + - Acquire all resources at once, e.g., use a single lock to protect all data. + - Having fewer locks is called **lock coarsening**. + - Problem: All processes accessing $A$ or $B$ cannot run at the same time, even if they don't access both variables. + - #### Solution 4: Eliminate Circular Waits + - Strategy: Impose an ordering on resources. + - Processes must acquire the highest-ranked resource first. + - Locks are always acquired in the same order. + - We have eliminated the circular dependency, but we will need to lock a resource for a longer period. + - Strategy: Define an ordering of **all** locks in your program. + - Always acquire locks in that order. + - Problem: Sometimes you do not know the order that the events will be used. + - How do we know the global order? + - Need extra code to find this out and then acquire them in the right order. + - It could get worse. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-10T12_58_13.911Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-10T12_58_13.911Z.Desktop.md new file mode 100644 index 00000000..007c50d7 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-10T12_58_13.911Z.Desktop.md @@ -0,0 +1,468 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[CPU Management - Scheduling]] +- **Next Topic:** [[Memory Management]] +- **Relevant Slides:** ![Lecture 6.pdf](../assets/Lecture_6_1665406709809_0.pdf) +- +- # Concurrent Programming + collapsed:: true + - What are **Concurrent Programs**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-19T10:56:45.458Z + card-last-reviewed:: 2022-10-18T11:56:45.458Z + card-last-score:: 3 + - **Concurrent Programs** are interleaving sets of sequential atomic instructions. + - i.e., interacting sequential processes that run at the same time, on the same or different processors. + - Processes are **interleaved** - at any time, each processor runs an instruction of the sequential processes. + - ## Correctness + - Generalisation: A program will be correct if its preconditions hold, as then its post conditions will also hold. + - A concurrent program must be correct under ^^all possible **interleavings**.^^ + - If all the maths is done in registers, then the results will depend on **interleaving** (indeterminate calculation). + - This dependency on unforeseen circumstances is known as a **Race Condition**. + - What is a **Race Condition**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:50.090Z + card-last-score:: 1 + - A **Race Condition** occurs when a program output is dependent on the sequence or timing of code execution. + - If multiple processes of execution enter a **critical section** at about the same time, both will attempt to update the shared data structure. + - This will lead to surprising & undesirable results. + - You must work to avoid this with concurrent code. + - If we get different results every time we run some code, the result is **indeterminate**. + - What is a **Critical Section**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-19T07:27:24.102Z + card-last-reviewed:: 2022-10-18T08:27:24.103Z + card-last-score:: 3 + - A **critical section** is a part of a program where a shared resource is accessed. + - A critical section must be protected in ways that avoid concurrent access. + - What are **Deterministic Computations**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:36:09.807Z + card-last-score:: 1 + - **Deterministic Computations** have the same result each time. + - We want deterministic concurrent code. + - We can use synchronisation mechanisms. + - ### Handling Race Conditions + - We need a mechanism to control access to shared resources in concurrent code - **Synchronisation** is necessary for any shared data structure. + - The idea is to focus on the critical sections of the code, i.e., sections that access shared resources. + - We want critical sections to run with **mutual exclusion** - only one process should be able to execute that code at the same time. + - #### Critical Section Properties #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-17T23:00:00.000Z + card-last-reviewed:: 2022-10-17T13:27:38.061Z + card-last-score:: 1 + - **Mutual Exclusion:** Only one process can access the critical section at a time. + - **Guarantee of Progress:** Processes outside the critical section cannot stop another from entering it. + - **Bounded Waiting:** A process waiting to enter the critical section will eventually enter. + - Processes in the critical section will eventually leave. + - **Performance:** The overhead of entering / exiting should be small. + - **Fair:** Don't make certain processes wait much longer than others. + - #### Atomicity #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:35.061Z + card-last-score:: 1 + - Basic atomicity is provided by the hardware. + - E.g., References & Assignments (i.e., read & write operations) are atomic in all CPUs. + - However, higher-level constructs (i.e., any sequence of two or more CPU instructions) are not atomic in general. + - Some languages (e.g., Java) have mechanisms to specify multiple instructions as atomic. + - #### Conditional Synchronisation + - Strategy: Person $A$ writes a rough draft and then Person $B$ edits it. + - $A$ & $B$ cannot write at the same time (as they are working on different versions of the paper). + - We must ensure that $B$ cannot start until $A$ is finished. + - ![image.png](../assets/image_1665408592493_0.png) + - +- # Mutual Exclusion Solutions + collapsed:: true + - ## Locks + collapsed:: true + - What is a **lock**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:22:27.130Z + card-last-score:: 1 + - A **lock** is a token that you need to enter a critical section of code. + - If a process wants to execute a critical section, it must have the lock. + - Need to ask for lock. + - Need to release lock. + - There are no restrictions on executing other code. + - ![image.png](../assets/image_1665408998543_0.png) + - ### Lock States & Operation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:24.868Z + card-last-score:: 1 + - Locks have 2 states: + - **Held:** Some process is in the critical section. + - **Not Held:** No process is in the critical section. + - Locks have 2 operations: + - **Acquire:** Mark lock as held or wait until released. If not **held**, this is executed immediately. + - If many processes call acquire, only one process can get the lock. + - **Release:** Mark lock as **not held**. + - ### Using Locks #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:14.291Z + card-last-score:: 1 + - Locks are declared like variables. + - `Lock myLock;` + - A program can use multiple locks. + - To use a lock, surround the critical section as follows: + - Call `acquire()` at the start of the critical section. + id:: 63442116-a2c1-4c25-9309-e880471bb359 + - Call `release()` at the end of the critical section. + - ![image.png](../assets/image_1665409357957_0.png) + - ### Lock Benefits #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:26:03.658Z + card-last-score:: 1 + - Only one process can execute the critical section code at a time. + - When a process is finished (& calls `release()`), another process can enter the critical section. + - Achieves the requirements of **mutual exclusion** & **progress** for concurrent systems. + - ### Lock Limitations #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:22:16.629Z + card-last-score:: 1 + - Acquiring a lock only blocks processes trying to acquire the *same* lock. + - Process may acquire other locks. + - ^^You must use the same lock for all critical sections accessing the same data (or resource).^^ + - ### Hardware-Based Lock + - Processor has a special instruction called "test & set". + - Allows atomic read **and** update. + - ```c + //c code for test and set behaviour + bool test_and_set (bool *flag) { + bool old = *flag; + *flag = true; + return old; + } + ``` + - #### Hardware-Based Spinlock + - ```c + struct lock { + bool held; //initially FALSE + } + void acquire(lock) { + while(test_and_set(&lock->held)) + ; //just wait + return; + } + void release(lock) { + lock->held = FALSE; + } + ``` + - #### Drawbacks of Spinlocks #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-22T03:46:00.445Z + card-last-reviewed:: 2022-10-19T08:46:00.446Z + card-last-score:: 5 + - Spinlocks are a form of **busy waiting** -> they burn CPU time. + - Once acquired, they are held until explicitly released. + - Inefficient if the lock is held for long periods. + - OS overhead of context switching. + - If the Process Scheduler makes processes sleep while the lock is held, all other processes use their CPU time to spin while the process with the lock make no progress. + - ### Do locks give us sufficient safety? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:45:25.529Z + card-last-score:: 1 + - If you can demonstrate *any* cases in which the following properties do not hold, then the system is **not correct**. + - 1. **Check Safety Properties:** These must *always* be true. + - **Mutual Exclusion:** Two processes must not interleave certain sequences of instructions. + - **Absence of Deadlock:** **Deadlock** is when a non-terminating system cannot respond to any signal. + - 2. **Check Liveness Properties:** These must *eventually* be true. + - **Absence of Starvation:** Information that is sent is delivered. + - **Fairness:** Any contention must be resolved. + - ### Lock Deadlock Scenario + - ![image.png](../assets/image_1665411940127_0.png) + - ### Protocols to Avoid Deadlock #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T11:54:54.328Z + card-last-score:: 1 + - Add a timer to the `lock.request()` method. + - Cancel the job & attempt it another time if it takes too long. + - Add a new `lock.check()` method to see if a lock is already held before requesting it. + - You can do something else and come back & check again. + - Avoid hold & wait protocol. + - Never hold onto one resource when you need two. + - ### Livelock by trying to avoid deadlock + - ![image.png](../assets/image_1665412210604_0.png) + - ### Starvation + - What is **Starvation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:27.898Z + card-last-score:: 1 + - **Starvation** is a more general case of livelock. + - One or more processes do not get run as another process is locking the resource. + - ### Locks / Critical Sections & Reliability + - What if a process is interrupted, suspended, or crashes inside its critical section? #card + - In the middle of the critical section, the system may be in an inconsistent state. The process is holding a lock, and if it dies, no other process waiting on that lock can proceed. + - Developers must ensure that critical regions are very short and always terminate. + - ### Beyond Locks + - Locks only provide **mutual exclusion**. + - They ensure that only one process is in the critical section at a time. + - Locks are good for protecting our shared resource to prevent race conditions & avoid non-deterministic execution. + - What about fairness, avoiding starvation, & livelock? + - We need to be able to place an ordering on the scheduling of a process. + - + - ## Semaphores + collapsed:: true + - Example: We want to place an order on when processes execute. + background-color:: green + - Producer-Consumer: + - Producer: Creates a resource (data). + - Consumer: Uses a resource (data). + - E.g.: `ps | grep "gcc" | wc`. + - Don't want producers & consumers to operate in **lockstep** (i.e., atomicity). + - Each command must wait for the previous output. + - Implies lots of context switching (i.e., very expensive). + - ^^**Solution:** Place a fixed-size buffer between producers & consumers.^^ + - ^^Synchronise access to buffer.^^ + - ^^Producer waits if the buffer is full; the consumer waits if the buffer is empty.^^ + - What is a **semaphore**? #card + - A **semaphore** is a higher-level synchronisation primitive. + - Semaphores are a kind of **generalised lock**. + - They are the main synchronisation primitive used in the original UNIX. + - Semaphores are implemented with a **counter** that is manipulated atomically via 2 operations: **signal** & **wait**. + - `wait(semaphore)`: AKA `down()` or `P()`. + - **Decrement** counter. + - If counter is zero, then block until semaphore is **signalled**. + - `signal(semaphore)`: AKA `up()` or `V()`. + - **Increment** counter. + - Wake up one **waiter**, if any. + - `sem_init(semaphore, counter)`: + - Set initial counter value. + - ### Semaphore PseudoCode #card + - `wait()` & `signal()` are **critical sections**. + - Hence, they must be executed **atomically** with respect to each other. + - Each semaphore has an associated queue of processes. + - When `wait()` is called by a process: + - If the semaphore is available -> the process continues. + - If the semaphore is unavailable -> the process blocks, waits on queue. + - `signal()` opens the semaphore. + - If processes are waiting on a queue -> one process is unblocked. + - If no processes are on the queue -> the signal is remembered for the next time `wait()` is called. + - Note: Blocking processes is **not** spinning - they release the CPU to do other work. + - ```pseudocode + struct semaphore { + int value; + queue L[]; // list of processes + } + - wait (S) { + if (s.value > 0) { + s.value--; + } + else { + add this process to s.L; + block; + } + } + - signal(S) { + if (S.L != EMPTY) { + remove a process P from S.L; + wakeup(P); + } + else { + s.value++; + } + } + ``` + - ### Semaphore Initialisation + - If the semaphore is initialised to `1`: #card + - The first call to `wait` goes through -> The semaphore value goes from `1` to `0`. + - The second call to `wait` **blocks** -> The semaphore value stays at `0`, the process goes on the queue. + - If the first process calls `signal()` -> The semaphore value stays at `0` and wakes up the second process. + - The semaphore acts like a **mutex lock**. + - We can use semaphores to implement locks. + - This is called a **binary semaphore**. + - If the semaphore is initialised to `2`: #card + - The initial value of the semaphore = the number of processes that can be active at once. + - `sem_init(sem, 2)`: + - `value = 2, L = []`. + - Consider multiple processes: + - Process1: `wait(sem)`. + - `value = 1, L = []` -> P1 executes. + - Process2: `wait(sem)`. + - `value = 0, L = []` -> P2 executes. + - Process3: `wait(sem)`. + - `value = 0, L = [P3]` -> P3 blocks. + - ### Counting Semaphores #card + - Allocating a number of resources. + - Shared buffers: each time you want to access a buffer, call `wait()`. + - You are queued if there is no buffer available. + - Counter is initialised to $N$ = number resources. + - This is called a **counting semaphore**. + - Useful for **conditional synchronisation**. + - i.e., if one process is waiting for another process to finish a price of work before it continues. + - ### Semaphores for Mutual Exclusion #card + - With semaphores, guaranteeing mutual exclusion for $N$ processes is trivial. + - ```c + semaphore mutex = 1; + + void Process(int i) { + while (1) { + // Non-Critical Section Bit + wait(mutex); // grab the mutual exclusion semaphore + // Do the Critical Section Bit + signal(mutex); + } + } + + int main() { + cobegin { + Process(1); Process(2); + } + } + ``` + - ### Bounded Buffer Problem #card + collapsed:: true + - Producer-Consumer Problem: + - Buffer in memory - finite size of $N$ entries. + - A producer process inserts an entry into the buffer. + - A consumer process removes an entry from the buffer. + - Processes are **concurrent** - we must use a synchronisation mechanism to control access to shared variables describing the buffer state. + - #### Producer-Consumer Single Buffer + - Simplest case: + - Single producer process & single consumer process. + - Single shared buffer between the producer & consumer. + - Requirements: + - Consumer must wait for Producer to fill the buffer. + - Producer must wait for the Consumer to empty the buffer (if filled). + - ![image.png](../assets/image_1667814474478_0.png) + - + - ### Semaphores Can Be Hard to Use #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:40:18.812Z + card-last-score:: 1 + - Complex patterns of resource usage. + - Cannot capture relationships with semaphores alone. + - Need extra state variables to record information. + - Produce buggy code that is hard to write. + - E.g., if one coder forgets to do `V()`/`signal()` after a critical section, the whole system can deadlock. + - ## Monitors + collapsed:: true + - What are **Monitors**? #card + - **Monitors** are an extension of the monolithic monitor used in the OS t allocate memory. + - A programming language construct that supports controlled access to shared data. + - Synchronisation code added by compiler, enforced at runtime -> less work for programmer. + - Monitors can keep track of **who** is allowed to access the shared data and **when** they can do it. + - Monitors are a higher-level construct than semaphores. + - Monitors encapsulate: + - Shared data structures. + - Procedures that operate on shared data. + - Synchronisation between concurrent processes that invoke these procedures. + - +- # Detection & Protection of Deadlock + - ## Requirements for Deadlock #card + - All four conditions must hold for deadlock to occur: + - 1. **Mutex:** At least **one** resource must be **non-shareable**. + 2. **No Pre-Emption:** Resources cannot be **pre-empted** (no way to break priority or take a resource away once allocated). + - Locks have this property. + - 3. **Hold & Wait:** There is an existing process holding a resource and waiting for another resource. + 4. **Circular Wait:** There exists a set of process $P_1, P_2, \cdots, P_N$ such that $P_1$ is waiting for $P_2$, $P_2$ is waiting for $P_3$, ..., and $P_N$ is waiting for $P_1$. + - If only three conditions hold then you can get **starvation**, but not deadlock. + - ## Deadlocks Without Locks #card + - Deadlocks can occur for any resource or any time a process waits, e.g.: + - Messages: waiting to receive a message before sending a message. + - i.e., hold & wait. + - Allocation: waiting to allocate resources before freeing another resource. + - i.e., hold & wait. + - ## Dealing with Deadlocks #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:42:50.653Z + card-last-score:: 1 + - ### Strategy 1: Ignore #card + collapsed:: true + - Ignore the fact that deadlocks may occur. + - Write code, put nothing special in. + - Sometimes you have to reboot the system. + - May work for some unimportant or simple applications where deadlock does not occur often. + - Quite a common approach. + - ### Strategy 2: Reactive #card + collapsed:: true + - Periodically check for evidence of a deadlock. + - E.g., add timeouts to acquiring a lock, if you timeout, then it implies that deadlock has occurred and you must do something. + - Recovery actions: + - Blue screen of death & reboot computer. + - Pick a process to terminate, e.g., a low-priority one. + - Only works with some types of applications. + - May corrupt data, so the process needs to do clean-up when terminated. + - ### Strategy 3: Proactive #card + collapsed:: true + - Prevent one of the four necessary conditions for deadlock. + - No single approach is appropriate (or possible) for all circumstances. + - Need techniques for each of the four conditions. + - #### Solution 1: No Mutual Exclusion + - Make resources shareable. + - E.g., read-only files - no need for locks. + - ### Solution 2: Adding Pre-Emption + - Locks cannot be pre-empted but other pre-emptive methods are possible. + - Strategy: pre-empt resources. + - Example: If process $A$ is waiting for a resource held by process $B$, then take the resource from $B$ and give it to $A$. + - Problems: + - Only works for some resources + - E.g., CPU & Memory (using virtual memory). + - Not possible if a resource cannot be saved & restored. + - Otherwise, taking away a lock causes issues. + - Also, there is an overhead cost for "pre-empt" & "restore". + - ### Solution 3: Avoid Hold & Wait + - Only request a resource when you have none, i.e., release a resource before requesting another. + - Never hold $x$ when want $y$. + - Works in many cases, but you cannot maintain a relationship between $x$ & $y$. + - Acquire all resources at once, e.g., use a single lock to protect all data. + - Having fewer locks is called **lock coarsening**. + - Problem: All processes accessing $A$ or $B$ cannot run at the same time, even if they don't access both variables. + - #### Solution 4: Eliminate Circular Waits + - Strategy: Impose an ordering on resources. + - Processes must acquire the highest-ranked resource first. + - Locks are always acquired in the same order. + - We have eliminated the circular dependency, but we will need to lock a resource for a longer period. + - Strategy: Define an ordering of **all** locks in your program. + - Always acquire locks in that order. + - Problem: Sometimes you do not know the order that the events will be used. + - How do we know the global order? + - Need extra code to find this out and then acquire them in the right order. + - It could get worse. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-10T15_58_09.936Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-10T15_58_09.936Z.Desktop.md new file mode 100644 index 00000000..007c50d7 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-10T15_58_09.936Z.Desktop.md @@ -0,0 +1,468 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[CPU Management - Scheduling]] +- **Next Topic:** [[Memory Management]] +- **Relevant Slides:** ![Lecture 6.pdf](../assets/Lecture_6_1665406709809_0.pdf) +- +- # Concurrent Programming + collapsed:: true + - What are **Concurrent Programs**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-19T10:56:45.458Z + card-last-reviewed:: 2022-10-18T11:56:45.458Z + card-last-score:: 3 + - **Concurrent Programs** are interleaving sets of sequential atomic instructions. + - i.e., interacting sequential processes that run at the same time, on the same or different processors. + - Processes are **interleaved** - at any time, each processor runs an instruction of the sequential processes. + - ## Correctness + - Generalisation: A program will be correct if its preconditions hold, as then its post conditions will also hold. + - A concurrent program must be correct under ^^all possible **interleavings**.^^ + - If all the maths is done in registers, then the results will depend on **interleaving** (indeterminate calculation). + - This dependency on unforeseen circumstances is known as a **Race Condition**. + - What is a **Race Condition**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:50.090Z + card-last-score:: 1 + - A **Race Condition** occurs when a program output is dependent on the sequence or timing of code execution. + - If multiple processes of execution enter a **critical section** at about the same time, both will attempt to update the shared data structure. + - This will lead to surprising & undesirable results. + - You must work to avoid this with concurrent code. + - If we get different results every time we run some code, the result is **indeterminate**. + - What is a **Critical Section**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-19T07:27:24.102Z + card-last-reviewed:: 2022-10-18T08:27:24.103Z + card-last-score:: 3 + - A **critical section** is a part of a program where a shared resource is accessed. + - A critical section must be protected in ways that avoid concurrent access. + - What are **Deterministic Computations**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:36:09.807Z + card-last-score:: 1 + - **Deterministic Computations** have the same result each time. + - We want deterministic concurrent code. + - We can use synchronisation mechanisms. + - ### Handling Race Conditions + - We need a mechanism to control access to shared resources in concurrent code - **Synchronisation** is necessary for any shared data structure. + - The idea is to focus on the critical sections of the code, i.e., sections that access shared resources. + - We want critical sections to run with **mutual exclusion** - only one process should be able to execute that code at the same time. + - #### Critical Section Properties #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-17T23:00:00.000Z + card-last-reviewed:: 2022-10-17T13:27:38.061Z + card-last-score:: 1 + - **Mutual Exclusion:** Only one process can access the critical section at a time. + - **Guarantee of Progress:** Processes outside the critical section cannot stop another from entering it. + - **Bounded Waiting:** A process waiting to enter the critical section will eventually enter. + - Processes in the critical section will eventually leave. + - **Performance:** The overhead of entering / exiting should be small. + - **Fair:** Don't make certain processes wait much longer than others. + - #### Atomicity #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:35.061Z + card-last-score:: 1 + - Basic atomicity is provided by the hardware. + - E.g., References & Assignments (i.e., read & write operations) are atomic in all CPUs. + - However, higher-level constructs (i.e., any sequence of two or more CPU instructions) are not atomic in general. + - Some languages (e.g., Java) have mechanisms to specify multiple instructions as atomic. + - #### Conditional Synchronisation + - Strategy: Person $A$ writes a rough draft and then Person $B$ edits it. + - $A$ & $B$ cannot write at the same time (as they are working on different versions of the paper). + - We must ensure that $B$ cannot start until $A$ is finished. + - ![image.png](../assets/image_1665408592493_0.png) + - +- # Mutual Exclusion Solutions + collapsed:: true + - ## Locks + collapsed:: true + - What is a **lock**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:22:27.130Z + card-last-score:: 1 + - A **lock** is a token that you need to enter a critical section of code. + - If a process wants to execute a critical section, it must have the lock. + - Need to ask for lock. + - Need to release lock. + - There are no restrictions on executing other code. + - ![image.png](../assets/image_1665408998543_0.png) + - ### Lock States & Operation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:24.868Z + card-last-score:: 1 + - Locks have 2 states: + - **Held:** Some process is in the critical section. + - **Not Held:** No process is in the critical section. + - Locks have 2 operations: + - **Acquire:** Mark lock as held or wait until released. If not **held**, this is executed immediately. + - If many processes call acquire, only one process can get the lock. + - **Release:** Mark lock as **not held**. + - ### Using Locks #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:14.291Z + card-last-score:: 1 + - Locks are declared like variables. + - `Lock myLock;` + - A program can use multiple locks. + - To use a lock, surround the critical section as follows: + - Call `acquire()` at the start of the critical section. + id:: 63442116-a2c1-4c25-9309-e880471bb359 + - Call `release()` at the end of the critical section. + - ![image.png](../assets/image_1665409357957_0.png) + - ### Lock Benefits #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:26:03.658Z + card-last-score:: 1 + - Only one process can execute the critical section code at a time. + - When a process is finished (& calls `release()`), another process can enter the critical section. + - Achieves the requirements of **mutual exclusion** & **progress** for concurrent systems. + - ### Lock Limitations #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:22:16.629Z + card-last-score:: 1 + - Acquiring a lock only blocks processes trying to acquire the *same* lock. + - Process may acquire other locks. + - ^^You must use the same lock for all critical sections accessing the same data (or resource).^^ + - ### Hardware-Based Lock + - Processor has a special instruction called "test & set". + - Allows atomic read **and** update. + - ```c + //c code for test and set behaviour + bool test_and_set (bool *flag) { + bool old = *flag; + *flag = true; + return old; + } + ``` + - #### Hardware-Based Spinlock + - ```c + struct lock { + bool held; //initially FALSE + } + void acquire(lock) { + while(test_and_set(&lock->held)) + ; //just wait + return; + } + void release(lock) { + lock->held = FALSE; + } + ``` + - #### Drawbacks of Spinlocks #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-22T03:46:00.445Z + card-last-reviewed:: 2022-10-19T08:46:00.446Z + card-last-score:: 5 + - Spinlocks are a form of **busy waiting** -> they burn CPU time. + - Once acquired, they are held until explicitly released. + - Inefficient if the lock is held for long periods. + - OS overhead of context switching. + - If the Process Scheduler makes processes sleep while the lock is held, all other processes use their CPU time to spin while the process with the lock make no progress. + - ### Do locks give us sufficient safety? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:45:25.529Z + card-last-score:: 1 + - If you can demonstrate *any* cases in which the following properties do not hold, then the system is **not correct**. + - 1. **Check Safety Properties:** These must *always* be true. + - **Mutual Exclusion:** Two processes must not interleave certain sequences of instructions. + - **Absence of Deadlock:** **Deadlock** is when a non-terminating system cannot respond to any signal. + - 2. **Check Liveness Properties:** These must *eventually* be true. + - **Absence of Starvation:** Information that is sent is delivered. + - **Fairness:** Any contention must be resolved. + - ### Lock Deadlock Scenario + - ![image.png](../assets/image_1665411940127_0.png) + - ### Protocols to Avoid Deadlock #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T11:54:54.328Z + card-last-score:: 1 + - Add a timer to the `lock.request()` method. + - Cancel the job & attempt it another time if it takes too long. + - Add a new `lock.check()` method to see if a lock is already held before requesting it. + - You can do something else and come back & check again. + - Avoid hold & wait protocol. + - Never hold onto one resource when you need two. + - ### Livelock by trying to avoid deadlock + - ![image.png](../assets/image_1665412210604_0.png) + - ### Starvation + - What is **Starvation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:27.898Z + card-last-score:: 1 + - **Starvation** is a more general case of livelock. + - One or more processes do not get run as another process is locking the resource. + - ### Locks / Critical Sections & Reliability + - What if a process is interrupted, suspended, or crashes inside its critical section? #card + - In the middle of the critical section, the system may be in an inconsistent state. The process is holding a lock, and if it dies, no other process waiting on that lock can proceed. + - Developers must ensure that critical regions are very short and always terminate. + - ### Beyond Locks + - Locks only provide **mutual exclusion**. + - They ensure that only one process is in the critical section at a time. + - Locks are good for protecting our shared resource to prevent race conditions & avoid non-deterministic execution. + - What about fairness, avoiding starvation, & livelock? + - We need to be able to place an ordering on the scheduling of a process. + - + - ## Semaphores + collapsed:: true + - Example: We want to place an order on when processes execute. + background-color:: green + - Producer-Consumer: + - Producer: Creates a resource (data). + - Consumer: Uses a resource (data). + - E.g.: `ps | grep "gcc" | wc`. + - Don't want producers & consumers to operate in **lockstep** (i.e., atomicity). + - Each command must wait for the previous output. + - Implies lots of context switching (i.e., very expensive). + - ^^**Solution:** Place a fixed-size buffer between producers & consumers.^^ + - ^^Synchronise access to buffer.^^ + - ^^Producer waits if the buffer is full; the consumer waits if the buffer is empty.^^ + - What is a **semaphore**? #card + - A **semaphore** is a higher-level synchronisation primitive. + - Semaphores are a kind of **generalised lock**. + - They are the main synchronisation primitive used in the original UNIX. + - Semaphores are implemented with a **counter** that is manipulated atomically via 2 operations: **signal** & **wait**. + - `wait(semaphore)`: AKA `down()` or `P()`. + - **Decrement** counter. + - If counter is zero, then block until semaphore is **signalled**. + - `signal(semaphore)`: AKA `up()` or `V()`. + - **Increment** counter. + - Wake up one **waiter**, if any. + - `sem_init(semaphore, counter)`: + - Set initial counter value. + - ### Semaphore PseudoCode #card + - `wait()` & `signal()` are **critical sections**. + - Hence, they must be executed **atomically** with respect to each other. + - Each semaphore has an associated queue of processes. + - When `wait()` is called by a process: + - If the semaphore is available -> the process continues. + - If the semaphore is unavailable -> the process blocks, waits on queue. + - `signal()` opens the semaphore. + - If processes are waiting on a queue -> one process is unblocked. + - If no processes are on the queue -> the signal is remembered for the next time `wait()` is called. + - Note: Blocking processes is **not** spinning - they release the CPU to do other work. + - ```pseudocode + struct semaphore { + int value; + queue L[]; // list of processes + } + - wait (S) { + if (s.value > 0) { + s.value--; + } + else { + add this process to s.L; + block; + } + } + - signal(S) { + if (S.L != EMPTY) { + remove a process P from S.L; + wakeup(P); + } + else { + s.value++; + } + } + ``` + - ### Semaphore Initialisation + - If the semaphore is initialised to `1`: #card + - The first call to `wait` goes through -> The semaphore value goes from `1` to `0`. + - The second call to `wait` **blocks** -> The semaphore value stays at `0`, the process goes on the queue. + - If the first process calls `signal()` -> The semaphore value stays at `0` and wakes up the second process. + - The semaphore acts like a **mutex lock**. + - We can use semaphores to implement locks. + - This is called a **binary semaphore**. + - If the semaphore is initialised to `2`: #card + - The initial value of the semaphore = the number of processes that can be active at once. + - `sem_init(sem, 2)`: + - `value = 2, L = []`. + - Consider multiple processes: + - Process1: `wait(sem)`. + - `value = 1, L = []` -> P1 executes. + - Process2: `wait(sem)`. + - `value = 0, L = []` -> P2 executes. + - Process3: `wait(sem)`. + - `value = 0, L = [P3]` -> P3 blocks. + - ### Counting Semaphores #card + - Allocating a number of resources. + - Shared buffers: each time you want to access a buffer, call `wait()`. + - You are queued if there is no buffer available. + - Counter is initialised to $N$ = number resources. + - This is called a **counting semaphore**. + - Useful for **conditional synchronisation**. + - i.e., if one process is waiting for another process to finish a price of work before it continues. + - ### Semaphores for Mutual Exclusion #card + - With semaphores, guaranteeing mutual exclusion for $N$ processes is trivial. + - ```c + semaphore mutex = 1; + + void Process(int i) { + while (1) { + // Non-Critical Section Bit + wait(mutex); // grab the mutual exclusion semaphore + // Do the Critical Section Bit + signal(mutex); + } + } + + int main() { + cobegin { + Process(1); Process(2); + } + } + ``` + - ### Bounded Buffer Problem #card + collapsed:: true + - Producer-Consumer Problem: + - Buffer in memory - finite size of $N$ entries. + - A producer process inserts an entry into the buffer. + - A consumer process removes an entry from the buffer. + - Processes are **concurrent** - we must use a synchronisation mechanism to control access to shared variables describing the buffer state. + - #### Producer-Consumer Single Buffer + - Simplest case: + - Single producer process & single consumer process. + - Single shared buffer between the producer & consumer. + - Requirements: + - Consumer must wait for Producer to fill the buffer. + - Producer must wait for the Consumer to empty the buffer (if filled). + - ![image.png](../assets/image_1667814474478_0.png) + - + - ### Semaphores Can Be Hard to Use #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:40:18.812Z + card-last-score:: 1 + - Complex patterns of resource usage. + - Cannot capture relationships with semaphores alone. + - Need extra state variables to record information. + - Produce buggy code that is hard to write. + - E.g., if one coder forgets to do `V()`/`signal()` after a critical section, the whole system can deadlock. + - ## Monitors + collapsed:: true + - What are **Monitors**? #card + - **Monitors** are an extension of the monolithic monitor used in the OS t allocate memory. + - A programming language construct that supports controlled access to shared data. + - Synchronisation code added by compiler, enforced at runtime -> less work for programmer. + - Monitors can keep track of **who** is allowed to access the shared data and **when** they can do it. + - Monitors are a higher-level construct than semaphores. + - Monitors encapsulate: + - Shared data structures. + - Procedures that operate on shared data. + - Synchronisation between concurrent processes that invoke these procedures. + - +- # Detection & Protection of Deadlock + - ## Requirements for Deadlock #card + - All four conditions must hold for deadlock to occur: + - 1. **Mutex:** At least **one** resource must be **non-shareable**. + 2. **No Pre-Emption:** Resources cannot be **pre-empted** (no way to break priority or take a resource away once allocated). + - Locks have this property. + - 3. **Hold & Wait:** There is an existing process holding a resource and waiting for another resource. + 4. **Circular Wait:** There exists a set of process $P_1, P_2, \cdots, P_N$ such that $P_1$ is waiting for $P_2$, $P_2$ is waiting for $P_3$, ..., and $P_N$ is waiting for $P_1$. + - If only three conditions hold then you can get **starvation**, but not deadlock. + - ## Deadlocks Without Locks #card + - Deadlocks can occur for any resource or any time a process waits, e.g.: + - Messages: waiting to receive a message before sending a message. + - i.e., hold & wait. + - Allocation: waiting to allocate resources before freeing another resource. + - i.e., hold & wait. + - ## Dealing with Deadlocks #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:42:50.653Z + card-last-score:: 1 + - ### Strategy 1: Ignore #card + collapsed:: true + - Ignore the fact that deadlocks may occur. + - Write code, put nothing special in. + - Sometimes you have to reboot the system. + - May work for some unimportant or simple applications where deadlock does not occur often. + - Quite a common approach. + - ### Strategy 2: Reactive #card + collapsed:: true + - Periodically check for evidence of a deadlock. + - E.g., add timeouts to acquiring a lock, if you timeout, then it implies that deadlock has occurred and you must do something. + - Recovery actions: + - Blue screen of death & reboot computer. + - Pick a process to terminate, e.g., a low-priority one. + - Only works with some types of applications. + - May corrupt data, so the process needs to do clean-up when terminated. + - ### Strategy 3: Proactive #card + collapsed:: true + - Prevent one of the four necessary conditions for deadlock. + - No single approach is appropriate (or possible) for all circumstances. + - Need techniques for each of the four conditions. + - #### Solution 1: No Mutual Exclusion + - Make resources shareable. + - E.g., read-only files - no need for locks. + - ### Solution 2: Adding Pre-Emption + - Locks cannot be pre-empted but other pre-emptive methods are possible. + - Strategy: pre-empt resources. + - Example: If process $A$ is waiting for a resource held by process $B$, then take the resource from $B$ and give it to $A$. + - Problems: + - Only works for some resources + - E.g., CPU & Memory (using virtual memory). + - Not possible if a resource cannot be saved & restored. + - Otherwise, taking away a lock causes issues. + - Also, there is an overhead cost for "pre-empt" & "restore". + - ### Solution 3: Avoid Hold & Wait + - Only request a resource when you have none, i.e., release a resource before requesting another. + - Never hold $x$ when want $y$. + - Works in many cases, but you cannot maintain a relationship between $x$ & $y$. + - Acquire all resources at once, e.g., use a single lock to protect all data. + - Having fewer locks is called **lock coarsening**. + - Problem: All processes accessing $A$ or $B$ cannot run at the same time, even if they don't access both variables. + - #### Solution 4: Eliminate Circular Waits + - Strategy: Impose an ordering on resources. + - Processes must acquire the highest-ranked resource first. + - Locks are always acquired in the same order. + - We have eliminated the circular dependency, but we will need to lock a resource for a longer period. + - Strategy: Define an ordering of **all** locks in your program. + - Always acquire locks in that order. + - Problem: Sometimes you do not know the order that the events will be used. + - How do we know the global order? + - Need extra code to find this out and then acquire them in the right order. + - It could get worse. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-10T19_23_44.097Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-10T19_23_44.097Z.Desktop.md new file mode 100644 index 00000000..007c50d7 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-10T19_23_44.097Z.Desktop.md @@ -0,0 +1,468 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[CPU Management - Scheduling]] +- **Next Topic:** [[Memory Management]] +- **Relevant Slides:** ![Lecture 6.pdf](../assets/Lecture_6_1665406709809_0.pdf) +- +- # Concurrent Programming + collapsed:: true + - What are **Concurrent Programs**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-19T10:56:45.458Z + card-last-reviewed:: 2022-10-18T11:56:45.458Z + card-last-score:: 3 + - **Concurrent Programs** are interleaving sets of sequential atomic instructions. + - i.e., interacting sequential processes that run at the same time, on the same or different processors. + - Processes are **interleaved** - at any time, each processor runs an instruction of the sequential processes. + - ## Correctness + - Generalisation: A program will be correct if its preconditions hold, as then its post conditions will also hold. + - A concurrent program must be correct under ^^all possible **interleavings**.^^ + - If all the maths is done in registers, then the results will depend on **interleaving** (indeterminate calculation). + - This dependency on unforeseen circumstances is known as a **Race Condition**. + - What is a **Race Condition**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:50.090Z + card-last-score:: 1 + - A **Race Condition** occurs when a program output is dependent on the sequence or timing of code execution. + - If multiple processes of execution enter a **critical section** at about the same time, both will attempt to update the shared data structure. + - This will lead to surprising & undesirable results. + - You must work to avoid this with concurrent code. + - If we get different results every time we run some code, the result is **indeterminate**. + - What is a **Critical Section**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-19T07:27:24.102Z + card-last-reviewed:: 2022-10-18T08:27:24.103Z + card-last-score:: 3 + - A **critical section** is a part of a program where a shared resource is accessed. + - A critical section must be protected in ways that avoid concurrent access. + - What are **Deterministic Computations**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:36:09.807Z + card-last-score:: 1 + - **Deterministic Computations** have the same result each time. + - We want deterministic concurrent code. + - We can use synchronisation mechanisms. + - ### Handling Race Conditions + - We need a mechanism to control access to shared resources in concurrent code - **Synchronisation** is necessary for any shared data structure. + - The idea is to focus on the critical sections of the code, i.e., sections that access shared resources. + - We want critical sections to run with **mutual exclusion** - only one process should be able to execute that code at the same time. + - #### Critical Section Properties #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-17T23:00:00.000Z + card-last-reviewed:: 2022-10-17T13:27:38.061Z + card-last-score:: 1 + - **Mutual Exclusion:** Only one process can access the critical section at a time. + - **Guarantee of Progress:** Processes outside the critical section cannot stop another from entering it. + - **Bounded Waiting:** A process waiting to enter the critical section will eventually enter. + - Processes in the critical section will eventually leave. + - **Performance:** The overhead of entering / exiting should be small. + - **Fair:** Don't make certain processes wait much longer than others. + - #### Atomicity #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:35.061Z + card-last-score:: 1 + - Basic atomicity is provided by the hardware. + - E.g., References & Assignments (i.e., read & write operations) are atomic in all CPUs. + - However, higher-level constructs (i.e., any sequence of two or more CPU instructions) are not atomic in general. + - Some languages (e.g., Java) have mechanisms to specify multiple instructions as atomic. + - #### Conditional Synchronisation + - Strategy: Person $A$ writes a rough draft and then Person $B$ edits it. + - $A$ & $B$ cannot write at the same time (as they are working on different versions of the paper). + - We must ensure that $B$ cannot start until $A$ is finished. + - ![image.png](../assets/image_1665408592493_0.png) + - +- # Mutual Exclusion Solutions + collapsed:: true + - ## Locks + collapsed:: true + - What is a **lock**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:22:27.130Z + card-last-score:: 1 + - A **lock** is a token that you need to enter a critical section of code. + - If a process wants to execute a critical section, it must have the lock. + - Need to ask for lock. + - Need to release lock. + - There are no restrictions on executing other code. + - ![image.png](../assets/image_1665408998543_0.png) + - ### Lock States & Operation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:24.868Z + card-last-score:: 1 + - Locks have 2 states: + - **Held:** Some process is in the critical section. + - **Not Held:** No process is in the critical section. + - Locks have 2 operations: + - **Acquire:** Mark lock as held or wait until released. If not **held**, this is executed immediately. + - If many processes call acquire, only one process can get the lock. + - **Release:** Mark lock as **not held**. + - ### Using Locks #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:14.291Z + card-last-score:: 1 + - Locks are declared like variables. + - `Lock myLock;` + - A program can use multiple locks. + - To use a lock, surround the critical section as follows: + - Call `acquire()` at the start of the critical section. + id:: 63442116-a2c1-4c25-9309-e880471bb359 + - Call `release()` at the end of the critical section. + - ![image.png](../assets/image_1665409357957_0.png) + - ### Lock Benefits #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:26:03.658Z + card-last-score:: 1 + - Only one process can execute the critical section code at a time. + - When a process is finished (& calls `release()`), another process can enter the critical section. + - Achieves the requirements of **mutual exclusion** & **progress** for concurrent systems. + - ### Lock Limitations #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:22:16.629Z + card-last-score:: 1 + - Acquiring a lock only blocks processes trying to acquire the *same* lock. + - Process may acquire other locks. + - ^^You must use the same lock for all critical sections accessing the same data (or resource).^^ + - ### Hardware-Based Lock + - Processor has a special instruction called "test & set". + - Allows atomic read **and** update. + - ```c + //c code for test and set behaviour + bool test_and_set (bool *flag) { + bool old = *flag; + *flag = true; + return old; + } + ``` + - #### Hardware-Based Spinlock + - ```c + struct lock { + bool held; //initially FALSE + } + void acquire(lock) { + while(test_and_set(&lock->held)) + ; //just wait + return; + } + void release(lock) { + lock->held = FALSE; + } + ``` + - #### Drawbacks of Spinlocks #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-22T03:46:00.445Z + card-last-reviewed:: 2022-10-19T08:46:00.446Z + card-last-score:: 5 + - Spinlocks are a form of **busy waiting** -> they burn CPU time. + - Once acquired, they are held until explicitly released. + - Inefficient if the lock is held for long periods. + - OS overhead of context switching. + - If the Process Scheduler makes processes sleep while the lock is held, all other processes use their CPU time to spin while the process with the lock make no progress. + - ### Do locks give us sufficient safety? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:45:25.529Z + card-last-score:: 1 + - If you can demonstrate *any* cases in which the following properties do not hold, then the system is **not correct**. + - 1. **Check Safety Properties:** These must *always* be true. + - **Mutual Exclusion:** Two processes must not interleave certain sequences of instructions. + - **Absence of Deadlock:** **Deadlock** is when a non-terminating system cannot respond to any signal. + - 2. **Check Liveness Properties:** These must *eventually* be true. + - **Absence of Starvation:** Information that is sent is delivered. + - **Fairness:** Any contention must be resolved. + - ### Lock Deadlock Scenario + - ![image.png](../assets/image_1665411940127_0.png) + - ### Protocols to Avoid Deadlock #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T11:54:54.328Z + card-last-score:: 1 + - Add a timer to the `lock.request()` method. + - Cancel the job & attempt it another time if it takes too long. + - Add a new `lock.check()` method to see if a lock is already held before requesting it. + - You can do something else and come back & check again. + - Avoid hold & wait protocol. + - Never hold onto one resource when you need two. + - ### Livelock by trying to avoid deadlock + - ![image.png](../assets/image_1665412210604_0.png) + - ### Starvation + - What is **Starvation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:27.898Z + card-last-score:: 1 + - **Starvation** is a more general case of livelock. + - One or more processes do not get run as another process is locking the resource. + - ### Locks / Critical Sections & Reliability + - What if a process is interrupted, suspended, or crashes inside its critical section? #card + - In the middle of the critical section, the system may be in an inconsistent state. The process is holding a lock, and if it dies, no other process waiting on that lock can proceed. + - Developers must ensure that critical regions are very short and always terminate. + - ### Beyond Locks + - Locks only provide **mutual exclusion**. + - They ensure that only one process is in the critical section at a time. + - Locks are good for protecting our shared resource to prevent race conditions & avoid non-deterministic execution. + - What about fairness, avoiding starvation, & livelock? + - We need to be able to place an ordering on the scheduling of a process. + - + - ## Semaphores + collapsed:: true + - Example: We want to place an order on when processes execute. + background-color:: green + - Producer-Consumer: + - Producer: Creates a resource (data). + - Consumer: Uses a resource (data). + - E.g.: `ps | grep "gcc" | wc`. + - Don't want producers & consumers to operate in **lockstep** (i.e., atomicity). + - Each command must wait for the previous output. + - Implies lots of context switching (i.e., very expensive). + - ^^**Solution:** Place a fixed-size buffer between producers & consumers.^^ + - ^^Synchronise access to buffer.^^ + - ^^Producer waits if the buffer is full; the consumer waits if the buffer is empty.^^ + - What is a **semaphore**? #card + - A **semaphore** is a higher-level synchronisation primitive. + - Semaphores are a kind of **generalised lock**. + - They are the main synchronisation primitive used in the original UNIX. + - Semaphores are implemented with a **counter** that is manipulated atomically via 2 operations: **signal** & **wait**. + - `wait(semaphore)`: AKA `down()` or `P()`. + - **Decrement** counter. + - If counter is zero, then block until semaphore is **signalled**. + - `signal(semaphore)`: AKA `up()` or `V()`. + - **Increment** counter. + - Wake up one **waiter**, if any. + - `sem_init(semaphore, counter)`: + - Set initial counter value. + - ### Semaphore PseudoCode #card + - `wait()` & `signal()` are **critical sections**. + - Hence, they must be executed **atomically** with respect to each other. + - Each semaphore has an associated queue of processes. + - When `wait()` is called by a process: + - If the semaphore is available -> the process continues. + - If the semaphore is unavailable -> the process blocks, waits on queue. + - `signal()` opens the semaphore. + - If processes are waiting on a queue -> one process is unblocked. + - If no processes are on the queue -> the signal is remembered for the next time `wait()` is called. + - Note: Blocking processes is **not** spinning - they release the CPU to do other work. + - ```pseudocode + struct semaphore { + int value; + queue L[]; // list of processes + } + - wait (S) { + if (s.value > 0) { + s.value--; + } + else { + add this process to s.L; + block; + } + } + - signal(S) { + if (S.L != EMPTY) { + remove a process P from S.L; + wakeup(P); + } + else { + s.value++; + } + } + ``` + - ### Semaphore Initialisation + - If the semaphore is initialised to `1`: #card + - The first call to `wait` goes through -> The semaphore value goes from `1` to `0`. + - The second call to `wait` **blocks** -> The semaphore value stays at `0`, the process goes on the queue. + - If the first process calls `signal()` -> The semaphore value stays at `0` and wakes up the second process. + - The semaphore acts like a **mutex lock**. + - We can use semaphores to implement locks. + - This is called a **binary semaphore**. + - If the semaphore is initialised to `2`: #card + - The initial value of the semaphore = the number of processes that can be active at once. + - `sem_init(sem, 2)`: + - `value = 2, L = []`. + - Consider multiple processes: + - Process1: `wait(sem)`. + - `value = 1, L = []` -> P1 executes. + - Process2: `wait(sem)`. + - `value = 0, L = []` -> P2 executes. + - Process3: `wait(sem)`. + - `value = 0, L = [P3]` -> P3 blocks. + - ### Counting Semaphores #card + - Allocating a number of resources. + - Shared buffers: each time you want to access a buffer, call `wait()`. + - You are queued if there is no buffer available. + - Counter is initialised to $N$ = number resources. + - This is called a **counting semaphore**. + - Useful for **conditional synchronisation**. + - i.e., if one process is waiting for another process to finish a price of work before it continues. + - ### Semaphores for Mutual Exclusion #card + - With semaphores, guaranteeing mutual exclusion for $N$ processes is trivial. + - ```c + semaphore mutex = 1; + + void Process(int i) { + while (1) { + // Non-Critical Section Bit + wait(mutex); // grab the mutual exclusion semaphore + // Do the Critical Section Bit + signal(mutex); + } + } + + int main() { + cobegin { + Process(1); Process(2); + } + } + ``` + - ### Bounded Buffer Problem #card + collapsed:: true + - Producer-Consumer Problem: + - Buffer in memory - finite size of $N$ entries. + - A producer process inserts an entry into the buffer. + - A consumer process removes an entry from the buffer. + - Processes are **concurrent** - we must use a synchronisation mechanism to control access to shared variables describing the buffer state. + - #### Producer-Consumer Single Buffer + - Simplest case: + - Single producer process & single consumer process. + - Single shared buffer between the producer & consumer. + - Requirements: + - Consumer must wait for Producer to fill the buffer. + - Producer must wait for the Consumer to empty the buffer (if filled). + - ![image.png](../assets/image_1667814474478_0.png) + - + - ### Semaphores Can Be Hard to Use #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:40:18.812Z + card-last-score:: 1 + - Complex patterns of resource usage. + - Cannot capture relationships with semaphores alone. + - Need extra state variables to record information. + - Produce buggy code that is hard to write. + - E.g., if one coder forgets to do `V()`/`signal()` after a critical section, the whole system can deadlock. + - ## Monitors + collapsed:: true + - What are **Monitors**? #card + - **Monitors** are an extension of the monolithic monitor used in the OS t allocate memory. + - A programming language construct that supports controlled access to shared data. + - Synchronisation code added by compiler, enforced at runtime -> less work for programmer. + - Monitors can keep track of **who** is allowed to access the shared data and **when** they can do it. + - Monitors are a higher-level construct than semaphores. + - Monitors encapsulate: + - Shared data structures. + - Procedures that operate on shared data. + - Synchronisation between concurrent processes that invoke these procedures. + - +- # Detection & Protection of Deadlock + - ## Requirements for Deadlock #card + - All four conditions must hold for deadlock to occur: + - 1. **Mutex:** At least **one** resource must be **non-shareable**. + 2. **No Pre-Emption:** Resources cannot be **pre-empted** (no way to break priority or take a resource away once allocated). + - Locks have this property. + - 3. **Hold & Wait:** There is an existing process holding a resource and waiting for another resource. + 4. **Circular Wait:** There exists a set of process $P_1, P_2, \cdots, P_N$ such that $P_1$ is waiting for $P_2$, $P_2$ is waiting for $P_3$, ..., and $P_N$ is waiting for $P_1$. + - If only three conditions hold then you can get **starvation**, but not deadlock. + - ## Deadlocks Without Locks #card + - Deadlocks can occur for any resource or any time a process waits, e.g.: + - Messages: waiting to receive a message before sending a message. + - i.e., hold & wait. + - Allocation: waiting to allocate resources before freeing another resource. + - i.e., hold & wait. + - ## Dealing with Deadlocks #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:42:50.653Z + card-last-score:: 1 + - ### Strategy 1: Ignore #card + collapsed:: true + - Ignore the fact that deadlocks may occur. + - Write code, put nothing special in. + - Sometimes you have to reboot the system. + - May work for some unimportant or simple applications where deadlock does not occur often. + - Quite a common approach. + - ### Strategy 2: Reactive #card + collapsed:: true + - Periodically check for evidence of a deadlock. + - E.g., add timeouts to acquiring a lock, if you timeout, then it implies that deadlock has occurred and you must do something. + - Recovery actions: + - Blue screen of death & reboot computer. + - Pick a process to terminate, e.g., a low-priority one. + - Only works with some types of applications. + - May corrupt data, so the process needs to do clean-up when terminated. + - ### Strategy 3: Proactive #card + collapsed:: true + - Prevent one of the four necessary conditions for deadlock. + - No single approach is appropriate (or possible) for all circumstances. + - Need techniques for each of the four conditions. + - #### Solution 1: No Mutual Exclusion + - Make resources shareable. + - E.g., read-only files - no need for locks. + - ### Solution 2: Adding Pre-Emption + - Locks cannot be pre-empted but other pre-emptive methods are possible. + - Strategy: pre-empt resources. + - Example: If process $A$ is waiting for a resource held by process $B$, then take the resource from $B$ and give it to $A$. + - Problems: + - Only works for some resources + - E.g., CPU & Memory (using virtual memory). + - Not possible if a resource cannot be saved & restored. + - Otherwise, taking away a lock causes issues. + - Also, there is an overhead cost for "pre-empt" & "restore". + - ### Solution 3: Avoid Hold & Wait + - Only request a resource when you have none, i.e., release a resource before requesting another. + - Never hold $x$ when want $y$. + - Works in many cases, but you cannot maintain a relationship between $x$ & $y$. + - Acquire all resources at once, e.g., use a single lock to protect all data. + - Having fewer locks is called **lock coarsening**. + - Problem: All processes accessing $A$ or $B$ cannot run at the same time, even if they don't access both variables. + - #### Solution 4: Eliminate Circular Waits + - Strategy: Impose an ordering on resources. + - Processes must acquire the highest-ranked resource first. + - Locks are always acquired in the same order. + - We have eliminated the circular dependency, but we will need to lock a resource for a longer period. + - Strategy: Define an ordering of **all** locks in your program. + - Always acquire locks in that order. + - Problem: Sometimes you do not know the order that the events will be used. + - How do we know the global order? + - Need extra code to find this out and then acquire them in the right order. + - It could get worse. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-11T12_04_45.369Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-11T12_04_45.369Z.Desktop.md new file mode 100644 index 00000000..7092a1c4 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-11T12_04_45.369Z.Desktop.md @@ -0,0 +1,486 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[CPU Management - Scheduling]] +- **Next Topic:** [[Memory Management]] +- **Relevant Slides:** ![Lecture 6.pdf](../assets/Lecture_6_1665406709809_0.pdf) +- +- # Concurrent Programming + collapsed:: true + - What are **Concurrent Programs**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-19T10:56:45.458Z + card-last-reviewed:: 2022-10-18T11:56:45.458Z + card-last-score:: 3 + - **Concurrent Programs** are interleaving sets of sequential atomic instructions. + - i.e., interacting sequential processes that run at the same time, on the same or different processors. + - Processes are **interleaved** - at any time, each processor runs an instruction of the sequential processes. + - ## Correctness + - Generalisation: A program will be correct if its preconditions hold, as then its post conditions will also hold. + - A concurrent program must be correct under ^^all possible **interleavings**.^^ + - If all the maths is done in registers, then the results will depend on **interleaving** (indeterminate calculation). + - This dependency on unforeseen circumstances is known as a **Race Condition**. + - What is a **Race Condition**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:50.090Z + card-last-score:: 1 + - A **Race Condition** occurs when a program output is dependent on the sequence or timing of code execution. + - If multiple processes of execution enter a **critical section** at about the same time, both will attempt to update the shared data structure. + - This will lead to surprising & undesirable results. + - You must work to avoid this with concurrent code. + - If we get different results every time we run some code, the result is **indeterminate**. + - What is a **Critical Section**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-19T07:27:24.102Z + card-last-reviewed:: 2022-10-18T08:27:24.103Z + card-last-score:: 3 + - A **critical section** is a part of a program where a shared resource is accessed. + - A critical section must be protected in ways that avoid concurrent access. + - What are **Deterministic Computations**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:36:09.807Z + card-last-score:: 1 + - **Deterministic Computations** have the same result each time. + - We want deterministic concurrent code. + - We can use synchronisation mechanisms. + - ### Handling Race Conditions + - We need a mechanism to control access to shared resources in concurrent code - **Synchronisation** is necessary for any shared data structure. + - The idea is to focus on the critical sections of the code, i.e., sections that access shared resources. + - We want critical sections to run with **mutual exclusion** - only one process should be able to execute that code at the same time. + - #### Critical Section Properties #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-17T23:00:00.000Z + card-last-reviewed:: 2022-10-17T13:27:38.061Z + card-last-score:: 1 + - **Mutual Exclusion:** Only one process can access the critical section at a time. + - **Guarantee of Progress:** Processes outside the critical section cannot stop another from entering it. + - **Bounded Waiting:** A process waiting to enter the critical section will eventually enter. + - Processes in the critical section will eventually leave. + - **Performance:** The overhead of entering / exiting should be small. + - **Fair:** Don't make certain processes wait much longer than others. + - #### Atomicity #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:35.061Z + card-last-score:: 1 + - Basic atomicity is provided by the hardware. + - E.g., References & Assignments (i.e., read & write operations) are atomic in all CPUs. + - However, higher-level constructs (i.e., any sequence of two or more CPU instructions) are not atomic in general. + - Some languages (e.g., Java) have mechanisms to specify multiple instructions as atomic. + - #### Conditional Synchronisation + - Strategy: Person $A$ writes a rough draft and then Person $B$ edits it. + - $A$ & $B$ cannot write at the same time (as they are working on different versions of the paper). + - We must ensure that $B$ cannot start until $A$ is finished. + - ![image.png](../assets/image_1665408592493_0.png) + - +- # Mutual Exclusion Solutions + collapsed:: true + - ## Locks + collapsed:: true + - What is a **lock**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:22:27.130Z + card-last-score:: 1 + - A **lock** is a token that you need to enter a critical section of code. + - If a process wants to execute a critical section, it must have the lock. + - Need to ask for lock. + - Need to release lock. + - There are no restrictions on executing other code. + - ![image.png](../assets/image_1665408998543_0.png) + - ### Lock States & Operation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:24.868Z + card-last-score:: 1 + - Locks have 2 states: + - **Held:** Some process is in the critical section. + - **Not Held:** No process is in the critical section. + - Locks have 2 operations: + - **Acquire:** Mark lock as held or wait until released. If not **held**, this is executed immediately. + - If many processes call acquire, only one process can get the lock. + - **Release:** Mark lock as **not held**. + - ### Using Locks #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:14.291Z + card-last-score:: 1 + - Locks are declared like variables. + - `Lock myLock;` + - A program can use multiple locks. + - To use a lock, surround the critical section as follows: + - Call `acquire()` at the start of the critical section. + id:: 63442116-a2c1-4c25-9309-e880471bb359 + - Call `release()` at the end of the critical section. + - ![image.png](../assets/image_1665409357957_0.png) + - ### Lock Benefits #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:26:03.658Z + card-last-score:: 1 + - Only one process can execute the critical section code at a time. + - When a process is finished (& calls `release()`), another process can enter the critical section. + - Achieves the requirements of **mutual exclusion** & **progress** for concurrent systems. + - ### Lock Limitations #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:22:16.629Z + card-last-score:: 1 + - Acquiring a lock only blocks processes trying to acquire the *same* lock. + - Process may acquire other locks. + - ^^You must use the same lock for all critical sections accessing the same data (or resource).^^ + - ### Hardware-Based Lock + - Processor has a special instruction called "test & set". + - Allows atomic read **and** update. + - ```c + //c code for test and set behaviour + bool test_and_set (bool *flag) { + bool old = *flag; + *flag = true; + return old; + } + ``` + - #### Hardware-Based Spinlock + - ```c + struct lock { + bool held; //initially FALSE + } + void acquire(lock) { + while(test_and_set(&lock->held)) + ; //just wait + return; + } + void release(lock) { + lock->held = FALSE; + } + ``` + - #### Drawbacks of Spinlocks #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-22T03:46:00.445Z + card-last-reviewed:: 2022-10-19T08:46:00.446Z + card-last-score:: 5 + - Spinlocks are a form of **busy waiting** -> they burn CPU time. + - Once acquired, they are held until explicitly released. + - Inefficient if the lock is held for long periods. + - OS overhead of context switching. + - If the Process Scheduler makes processes sleep while the lock is held, all other processes use their CPU time to spin while the process with the lock make no progress. + - ### Do locks give us sufficient safety? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:45:25.529Z + card-last-score:: 1 + - If you can demonstrate *any* cases in which the following properties do not hold, then the system is **not correct**. + - 1. **Check Safety Properties:** These must *always* be true. + - **Mutual Exclusion:** Two processes must not interleave certain sequences of instructions. + - **Absence of Deadlock:** **Deadlock** is when a non-terminating system cannot respond to any signal. + - 2. **Check Liveness Properties:** These must *eventually* be true. + - **Absence of Starvation:** Information that is sent is delivered. + - **Fairness:** Any contention must be resolved. + - ### Lock Deadlock Scenario + - ![image.png](../assets/image_1665411940127_0.png) + - ### Protocols to Avoid Deadlock #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T11:54:54.328Z + card-last-score:: 1 + - Add a timer to the `lock.request()` method. + - Cancel the job & attempt it another time if it takes too long. + - Add a new `lock.check()` method to see if a lock is already held before requesting it. + - You can do something else and come back & check again. + - Avoid hold & wait protocol. + - Never hold onto one resource when you need two. + - ### Livelock by trying to avoid deadlock + - ![image.png](../assets/image_1665412210604_0.png) + - ### Starvation + - What is **Starvation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:27.898Z + card-last-score:: 1 + - **Starvation** is a more general case of livelock. + - One or more processes do not get run as another process is locking the resource. + - ### Locks / Critical Sections & Reliability + - What if a process is interrupted, suspended, or crashes inside its critical section? #card + - In the middle of the critical section, the system may be in an inconsistent state. The process is holding a lock, and if it dies, no other process waiting on that lock can proceed. + - Developers must ensure that critical regions are very short and always terminate. + - ### Beyond Locks + - Locks only provide **mutual exclusion**. + - They ensure that only one process is in the critical section at a time. + - Locks are good for protecting our shared resource to prevent race conditions & avoid non-deterministic execution. + - What about fairness, avoiding starvation, & livelock? + - We need to be able to place an ordering on the scheduling of a process. + - + - ## Semaphores + collapsed:: true + - Example: We want to place an order on when processes execute. + background-color:: green + - Producer-Consumer: + - Producer: Creates a resource (data). + - Consumer: Uses a resource (data). + - E.g.: `ps | grep "gcc" | wc`. + - Don't want producers & consumers to operate in **lockstep** (i.e., atomicity). + - Each command must wait for the previous output. + - Implies lots of context switching (i.e., very expensive). + - ^^**Solution:** Place a fixed-size buffer between producers & consumers.^^ + - ^^Synchronise access to buffer.^^ + - ^^Producer waits if the buffer is full; the consumer waits if the buffer is empty.^^ + - What is a **semaphore**? #card + - A **semaphore** is a higher-level synchronisation primitive. + - Semaphores are a kind of **generalised lock**. + - They are the main synchronisation primitive used in the original UNIX. + - Semaphores are implemented with a **counter** that is manipulated atomically via 2 operations: **signal** & **wait**. + - `wait(semaphore)`: AKA `down()` or `P()`. + - **Decrement** counter. + - If counter is zero, then block until semaphore is **signalled**. + - `signal(semaphore)`: AKA `up()` or `V()`. + - **Increment** counter. + - Wake up one **waiter**, if any. + - `sem_init(semaphore, counter)`: + - Set initial counter value. + - ### Semaphore PseudoCode #card + - `wait()` & `signal()` are **critical sections**. + - Hence, they must be executed **atomically** with respect to each other. + - Each semaphore has an associated queue of processes. + - When `wait()` is called by a process: + - If the semaphore is available -> the process continues. + - If the semaphore is unavailable -> the process blocks, waits on queue. + - `signal()` opens the semaphore. + - If processes are waiting on a queue -> one process is unblocked. + - If no processes are on the queue -> the signal is remembered for the next time `wait()` is called. + - Note: Blocking processes is **not** spinning - they release the CPU to do other work. + - ```pseudocode + struct semaphore { + int value; + queue L[]; // list of processes + } + - wait (S) { + if (s.value > 0) { + s.value--; + } + else { + add this process to s.L; + block; + } + } + - signal(S) { + if (S.L != EMPTY) { + remove a process P from S.L; + wakeup(P); + } + else { + s.value++; + } + } + ``` + - ### Semaphore Initialisation + - If the semaphore is initialised to `1`: #card + - The first call to `wait` goes through -> The semaphore value goes from `1` to `0`. + - The second call to `wait` **blocks** -> The semaphore value stays at `0`, the process goes on the queue. + - If the first process calls `signal()` -> The semaphore value stays at `0` and wakes up the second process. + - The semaphore acts like a **mutex lock**. + - We can use semaphores to implement locks. + - This is called a **binary semaphore**. + - If the semaphore is initialised to `2`: #card + - The initial value of the semaphore = the number of processes that can be active at once. + - `sem_init(sem, 2)`: + - `value = 2, L = []`. + - Consider multiple processes: + - Process1: `wait(sem)`. + - `value = 1, L = []` -> P1 executes. + - Process2: `wait(sem)`. + - `value = 0, L = []` -> P2 executes. + - Process3: `wait(sem)`. + - `value = 0, L = [P3]` -> P3 blocks. + - ### Counting Semaphores #card + - Allocating a number of resources. + - Shared buffers: each time you want to access a buffer, call `wait()`. + - You are queued if there is no buffer available. + - Counter is initialised to $N$ = number resources. + - This is called a **counting semaphore**. + - Useful for **conditional synchronisation**. + - i.e., if one process is waiting for another process to finish a price of work before it continues. + - ### Semaphores for Mutual Exclusion #card + - With semaphores, guaranteeing mutual exclusion for $N$ processes is trivial. + - ```c + semaphore mutex = 1; + + void Process(int i) { + while (1) { + // Non-Critical Section Bit + wait(mutex); // grab the mutual exclusion semaphore + // Do the Critical Section Bit + signal(mutex); + } + } + + int main() { + cobegin { + Process(1); Process(2); + } + } + ``` + - ### Bounded Buffer Problem #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-11T00:00:00.000Z + card-last-reviewed:: 2022-11-10T10:55:02.784Z + card-last-score:: 1 + - Producer-Consumer Problem: + - Buffer in memory - finite size of $N$ entries. + - A producer process inserts an entry into the buffer. + - A consumer process removes an entry from the buffer. + - Processes are **concurrent** - we must use a synchronisation mechanism to control access to shared variables describing the buffer state. + - #### Producer-Consumer Single Buffer + - Simplest case: + - Single producer process & single consumer process. + - Single shared buffer between the producer & consumer. + - Requirements: + - Consumer must wait for Producer to fill the buffer. + - Producer must wait for the Consumer to empty the buffer (if filled). + - ![image.png](../assets/image_1667814474478_0.png) + - + - ### Semaphores Can Be Hard to Use #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:40:18.812Z + card-last-score:: 1 + - Complex patterns of resource usage. + - Cannot capture relationships with semaphores alone. + - Need extra state variables to record information. + - Produce buggy code that is hard to write. + - E.g., if one coder forgets to do `V()`/`signal()` after a critical section, the whole system can deadlock. + - ## Monitors + collapsed:: true + - What are **Monitors**? #card + - **Monitors** are an extension of the monolithic monitor used in the OS t allocate memory. + - A programming language construct that supports controlled access to shared data. + - Synchronisation code added by compiler, enforced at runtime -> less work for programmer. + - Monitors can keep track of **who** is allowed to access the shared data and **when** they can do it. + - Monitors are a higher-level construct than semaphores. + - Monitors encapsulate: + - Shared data structures. + - Procedures that operate on shared data. + - Synchronisation between concurrent processes that invoke these procedures. + - +- # Detection & Protection of Deadlock + - ## Requirements for Deadlock #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-11T00:00:00.000Z + card-last-reviewed:: 2022-11-10T10:55:28.721Z + card-last-score:: 1 + - All four conditions must hold for deadlock to occur: + - 1. **Mutex:** At least **one** resource must be **non-shareable**. + 2. **No Pre-Emption:** Resources cannot be **pre-empted** (no way to break priority or take a resource away once allocated). + - Locks have this property. + - 3. **Hold & Wait:** There is an existing process holding a resource and waiting for another resource. + 4. **Circular Wait:** There exists a set of process $P_1, P_2, \cdots, P_N$ such that $P_1$ is waiting for $P_2$, $P_2$ is waiting for $P_3$, ..., and $P_N$ is waiting for $P_1$. + - If only three conditions hold then you can get **starvation**, but not deadlock. + - ## Deadlocks Without Locks #card + - Deadlocks can occur for any resource or any time a process waits, e.g.: + - Messages: waiting to receive a message before sending a message. + - i.e., hold & wait. + - Allocation: waiting to allocate resources before freeing another resource. + - i.e., hold & wait. + - ## Dealing with Deadlocks #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:42:50.653Z + card-last-score:: 1 + - ### Strategy 1: Ignore #card + collapsed:: true + - Ignore the fact that deadlocks may occur. + - Write code, put nothing special in. + - Sometimes you have to reboot the system. + - May work for some unimportant or simple applications where deadlock does not occur often. + - Quite a common approach. + - ### Strategy 2: Reactive #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-11T00:00:00.000Z + card-last-reviewed:: 2022-11-10T10:58:24.765Z + card-last-score:: 1 + - Periodically check for evidence of a deadlock. + - E.g., add timeouts to acquiring a lock, if you timeout, then it implies that deadlock has occurred and you must do something. + - Recovery actions: + - Blue screen of death & reboot computer. + - Pick a process to terminate, e.g., a low-priority one. + - Only works with some types of applications. + - May corrupt data, so the process needs to do clean-up when terminated. + - ### Strategy 3: Proactive #card + collapsed:: true + - Prevent one of the four necessary conditions for deadlock. + - No single approach is appropriate (or possible) for all circumstances. + - Need techniques for each of the four conditions. + - #### Solution 1: No Mutual Exclusion + - Make resources shareable. + - E.g., read-only files - no need for locks. + - ### Solution 2: Adding Pre-Emption + - Locks cannot be pre-empted but other pre-emptive methods are possible. + - Strategy: pre-empt resources. + - Example: If process $A$ is waiting for a resource held by process $B$, then take the resource from $B$ and give it to $A$. + - Problems: + - Only works for some resources + - E.g., CPU & Memory (using virtual memory). + - Not possible if a resource cannot be saved & restored. + - Otherwise, taking away a lock causes issues. + - Also, there is an overhead cost for "pre-empt" & "restore". + - ### Solution 3: Avoid Hold & Wait + - Only request a resource when you have none, i.e., release a resource before requesting another. + - Never hold $x$ when want $y$. + - Works in many cases, but you cannot maintain a relationship between $x$ & $y$. + - Acquire all resources at once, e.g., use a single lock to protect all data. + - Having fewer locks is called **lock coarsening**. + - Problem: All processes accessing $A$ or $B$ cannot run at the same time, even if they don't access both variables. + - #### Solution 4: Eliminate Circular Waits + - Strategy: Impose an ordering on resources. + - Processes must acquire the highest-ranked resource first. + - Locks are always acquired in the same order. + - We have eliminated the circular dependency, but we will need to lock a resource for a longer period. + - Strategy: Define an ordering of **all** locks in your program. + - Always acquire locks in that order. + - Problem: Sometimes you do not know the order that the events will be used. + - How do we know the global order? + - Need extra code to find this out and then acquire them in the right order. + - It could get worse. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-16T12_02_11.494Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-16T12_02_11.494Z.Desktop.md new file mode 100644 index 00000000..31e3f60a --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Process Synchronisation/2022-11-16T12_02_11.494Z.Desktop.md @@ -0,0 +1,552 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[CPU Management - Scheduling]] +- **Next Topic:** [[Memory Management]] +- **Relevant Slides:** ![Lecture 6.pdf](../assets/Lecture_6_1665406709809_0.pdf) +- +- # Concurrent Programming + collapsed:: true + - What are **Concurrent Programs**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-19T10:56:45.458Z + card-last-reviewed:: 2022-10-18T11:56:45.458Z + card-last-score:: 3 + - **Concurrent Programs** are interleaving sets of sequential atomic instructions. + - i.e., interacting sequential processes that run at the same time, on the same or different processors. + - Processes are **interleaved** - at any time, each processor runs an instruction of the sequential processes. + - ## Correctness + - Generalisation: A program will be correct if its preconditions hold, as then its post conditions will also hold. + - A concurrent program must be correct under ^^all possible **interleavings**.^^ + - If all the maths is done in registers, then the results will depend on **interleaving** (indeterminate calculation). + - This dependency on unforeseen circumstances is known as a **Race Condition**. + - What is a **Race Condition**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:50.090Z + card-last-score:: 1 + - A **Race Condition** occurs when a program output is dependent on the sequence or timing of code execution. + - If multiple processes of execution enter a **critical section** at about the same time, both will attempt to update the shared data structure. + - This will lead to surprising & undesirable results. + - You must work to avoid this with concurrent code. + - If we get different results every time we run some code, the result is **indeterminate**. + - What is a **Critical Section**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-19T07:27:24.102Z + card-last-reviewed:: 2022-10-18T08:27:24.103Z + card-last-score:: 3 + - A **critical section** is a part of a program where a shared resource is accessed. + - A critical section must be protected in ways that avoid concurrent access. + - What are **Deterministic Computations**? #card + card-last-interval:: 0.98 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T19:07:48.411Z + card-last-reviewed:: 2022-11-14T20:07:48.412Z + card-last-score:: 3 + - **Deterministic Computations** have the same result each time. + - We want deterministic concurrent code. + - We can use synchronisation mechanisms. + - ### Handling Race Conditions + - We need a mechanism to control access to shared resources in concurrent code - **Synchronisation** is necessary for any shared data structure. + - The idea is to focus on the critical sections of the code, i.e., sections that access shared resources. + - We want critical sections to run with **mutual exclusion** - only one process should be able to execute that code at the same time. + - #### Critical Section Properties #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:05:01.085Z + card-last-score:: 1 + - **Mutual Exclusion:** Only one process can access the critical section at a time. + - **Guarantee of Progress:** Processes outside the critical section cannot stop another from entering it. + - **Bounded Waiting:** A process waiting to enter the critical section will eventually enter. + - Processes in the critical section will eventually leave. + - **Performance:** The overhead of entering / exiting should be small. + - **Fair:** Don't make certain processes wait much longer than others. + - #### Atomicity #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:35.061Z + card-last-score:: 1 + - Basic atomicity is provided by the hardware. + - E.g., References & Assignments (i.e., read & write operations) are atomic in all CPUs. + - However, higher-level constructs (i.e., any sequence of two or more CPU instructions) are not atomic in general. + - Some languages (e.g., Java) have mechanisms to specify multiple instructions as atomic. + - #### Conditional Synchronisation + - Strategy: Person $A$ writes a rough draft and then Person $B$ edits it. + - $A$ & $B$ cannot write at the same time (as they are working on different versions of the paper). + - We must ensure that $B$ cannot start until $A$ is finished. + - ![image.png](../assets/image_1665408592493_0.png) + - +- # Mutual Exclusion Solutions + collapsed:: true + - ## Locks + collapsed:: true + - What is a **lock**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:22:27.130Z + card-last-score:: 1 + - A **lock** is a token that you need to enter a critical section of code. + - If a process wants to execute a critical section, it must have the lock. + - Need to ask for lock. + - Need to release lock. + - There are no restrictions on executing other code. + - ![image.png](../assets/image_1665408998543_0.png) + - ### Lock States & Operation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-12T00:00:00.000Z + card-last-reviewed:: 2022-11-11T11:41:54.981Z + card-last-score:: 1 + - Locks have 2 states: + - **Held:** Some process is in the critical section. + - **Not Held:** No process is in the critical section. + - Locks have 2 operations: + - **Acquire:** Mark lock as held or wait until released. If not **held**, this is executed immediately. + - If many processes call acquire, only one process can get the lock. + - **Release:** Mark lock as **not held**. + - ### Using Locks #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T15:07:42.144Z + card-last-reviewed:: 2022-11-14T20:07:42.144Z + card-last-score:: 5 + - Locks are declared like variables. + - `Lock myLock;` + - A program can use multiple locks. + - To use a lock, surround the critical section as follows: + - Call `acquire()` at the start of the critical section. + id:: 63442116-a2c1-4c25-9309-e880471bb359 + - Call `release()` at the end of the critical section. + - ![image.png](../assets/image_1665409357957_0.png) + - ### Lock Benefits #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:26:03.658Z + card-last-score:: 1 + - Only one process can execute the critical section code at a time. + - When a process is finished (& calls `release()`), another process can enter the critical section. + - Achieves the requirements of **mutual exclusion** & **progress** for concurrent systems. + - ### Lock Limitations #card + card-last-interval:: 0.98 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T19:09:12.011Z + card-last-reviewed:: 2022-11-14T20:09:12.011Z + card-last-score:: 3 + - Acquiring a lock only blocks processes trying to acquire the *same* lock. + - Process may acquire other locks. + - ^^You must use the same lock for all critical sections accessing the same data (or resource).^^ + - ### Hardware-Based Lock + - Processor has a special instruction called "test & set". + - Allows atomic read **and** update. + - ```c + //c code for test and set behaviour + bool test_and_set (bool *flag) { + bool old = *flag; + *flag = true; + return old; + } + ``` + - #### Hardware-Based Spinlock + - ```c + struct lock { + bool held; //initially FALSE + } + void acquire(lock) { + while(test_and_set(&lock->held)) + ; //just wait + return; + } + void release(lock) { + lock->held = FALSE; + } + ``` + - #### Drawbacks of Spinlocks #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-18T06:09:40.073Z + card-last-reviewed:: 2022-11-14T20:09:40.073Z + card-last-score:: 3 + - Spinlocks are a form of **busy waiting** -> they burn CPU time. + - Once acquired, they are held until explicitly released. + - Inefficient if the lock is held for long periods. + - OS overhead of context switching. + - If the Process Scheduler makes processes sleep while the lock is held, all other processes use their CPU time to spin while the process with the lock make no progress. + - ### Do locks give us sufficient safety? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:24:13.793Z + card-last-score:: 1 + - If you can demonstrate *any* cases in which the following properties do not hold, then the system is **not correct**. + - 1. **Check Safety Properties:** These must *always* be true. + - **Mutual Exclusion:** Two processes must not interleave certain sequences of instructions. + - **Absence of Deadlock:** **Deadlock** is when a non-terminating system cannot respond to any signal. + - 2. **Check Liveness Properties:** These must *eventually* be true. + - **Absence of Starvation:** Information that is sent is delivered. + - **Fairness:** Any contention must be resolved. + - ### Lock Deadlock Scenario + - ![image.png](../assets/image_1665411940127_0.png) + - ### Protocols to Avoid Deadlock #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:09:06.660Z + card-last-score:: 1 + - Add a timer to the `lock.request()` method. + - Cancel the job & attempt it another time if it takes too long. + - Add a new `lock.check()` method to see if a lock is already held before requesting it. + - You can do something else and come back & check again. + - Avoid hold & wait protocol. + - Never hold onto one resource when you need two. + - ### Livelock by trying to avoid deadlock + - ![image.png](../assets/image_1665412210604_0.png) + - ### Starvation + - What is **Starvation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:08:54.153Z + card-last-score:: 1 + - **Starvation** is a more general case of livelock. + - One or more processes do not get run as another process is locking the resource. + - ### Locks / Critical Sections & Reliability + - What if a process is interrupted, suspended, or crashes inside its critical section? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:17:34.955Z + card-last-score:: 1 + - In the middle of the critical section, the system may be in an inconsistent state. The process is holding a lock, and if it dies, no other process waiting on that lock can proceed. + - Developers must ensure that critical regions are very short and always terminate. + - ### Beyond Locks + - Locks only provide **mutual exclusion**. + - They ensure that only one process is in the critical section at a time. + - Locks are good for protecting our shared resource to prevent race conditions & avoid non-deterministic execution. + - What about fairness, avoiding starvation, & livelock? + - We need to be able to place an ordering on the scheduling of a process. + - + - ## Semaphores + collapsed:: true + - Example: We want to place an order on when processes execute. + background-color:: green + - Producer-Consumer: + - Producer: Creates a resource (data). + - Consumer: Uses a resource (data). + - E.g.: `ps | grep "gcc" | wc`. + - Don't want producers & consumers to operate in **lockstep** (i.e., atomicity). + - Each command must wait for the previous output. + - Implies lots of context switching (i.e., very expensive). + - ^^**Solution:** Place a fixed-size buffer between producers & consumers.^^ + - ^^Synchronise access to buffer.^^ + - ^^Producer waits if the buffer is full; the consumer waits if the buffer is empty.^^ + - What is a **semaphore**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:50:12.454Z + card-last-score:: 1 + - A **semaphore** is a higher-level synchronisation primitive. + - Semaphores are a kind of **generalised lock**. + - They are the main synchronisation primitive used in the original UNIX. + - Semaphores are implemented with a **counter** that is manipulated atomically via 2 operations: **signal** & **wait**. + - `wait(semaphore)`: AKA `down()` or `P()`. + - **Decrement** counter. + - If counter is zero, then block until semaphore is **signalled**. + - `signal(semaphore)`: AKA `up()` or `V()`. + - **Increment** counter. + - Wake up one **waiter**, if any. + - `sem_init(semaphore, counter)`: + - Set initial counter value. + - ### Semaphore PseudoCode #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:13:51.708Z + card-last-score:: 1 + - `wait()` & `signal()` are **critical sections**. + - Hence, they must be executed **atomically** with respect to each other. + - Each semaphore has an associated queue of processes. + - When `wait()` is called by a process: + - If the semaphore is available -> the process continues. + - If the semaphore is unavailable -> the process blocks, waits on queue. + - `signal()` opens the semaphore. + - If processes are waiting on a queue -> one process is unblocked. + - If no processes are on the queue -> the signal is remembered for the next time `wait()` is called. + - Note: Blocking processes is **not** spinning - they release the CPU to do other work. + - ```pseudocode + struct semaphore { + int value; + queue L[]; // list of processes + } + - wait (S) { + if (s.value > 0) { + s.value--; + } + else { + add this process to s.L; + block; + } + } + - signal(S) { + if (S.L != EMPTY) { + remove a process P from S.L; + wakeup(P); + } + else { + s.value++; + } + } + ``` + - ### Semaphore Initialisation + - If the semaphore is initialised to `1`: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:52:48.262Z + card-last-score:: 1 + - The first call to `wait` goes through -> The semaphore value goes from `1` to `0`. + - The second call to `wait` **blocks** -> The semaphore value stays at `0`, the process goes on the queue. + - If the first process calls `signal()` -> The semaphore value stays at `0` and wakes up the second process. + - The semaphore acts like a **mutex lock**. + - We can use semaphores to implement locks. + - This is called a **binary semaphore**. + - If the semaphore is initialised to `2`: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:51:38.462Z + card-last-score:: 1 + - The initial value of the semaphore = the number of processes that can be active at once. + - `sem_init(sem, 2)`: + - `value = 2, L = []`. + - Consider multiple processes: + - Process1: `wait(sem)`. + - `value = 1, L = []` -> P1 executes. + - Process2: `wait(sem)`. + - `value = 0, L = []` -> P2 executes. + - Process3: `wait(sem)`. + - `value = 0, L = [P3]` -> P3 blocks. + - ### Counting Semaphores #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:52:26.139Z + card-last-score:: 1 + - Allocating a number of resources. + - Shared buffers: each time you want to access a buffer, call `wait()`. + - You are queued if there is no buffer available. + - Counter is initialised to $N$ = number resources. + - This is called a **counting semaphore**. + - Useful for **conditional synchronisation**. + - i.e., if one process is waiting for another process to finish a price of work before it continues. + - ### Semaphores for Mutual Exclusion #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:15:56.292Z + card-last-score:: 1 + - With semaphores, guaranteeing mutual exclusion for $N$ processes is trivial. + - ```c + semaphore mutex = 1; + + void Process(int i) { + while (1) { + // Non-Critical Section Bit + wait(mutex); // grab the mutual exclusion semaphore + // Do the Critical Section Bit + signal(mutex); + } + } + + int main() { + cobegin { + Process(1); Process(2); + } + } + ``` + - ### Bounded Buffer Problem #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-11T00:00:00.000Z + card-last-reviewed:: 2022-11-10T10:55:02.784Z + card-last-score:: 1 + - Producer-Consumer Problem: + - Buffer in memory - finite size of $N$ entries. + - A producer process inserts an entry into the buffer. + - A consumer process removes an entry from the buffer. + - Processes are **concurrent** - we must use a synchronisation mechanism to control access to shared variables describing the buffer state. + - #### Producer-Consumer Single Buffer + - Simplest case: + - Single producer process & single consumer process. + - Single shared buffer between the producer & consumer. + - Requirements: + - Consumer must wait for Producer to fill the buffer. + - Producer must wait for the Consumer to empty the buffer (if filled). + - ![image.png](../assets/image_1667814474478_0.png) + - + - ### Semaphores Can Be Hard to Use #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:24:06.193Z + card-last-score:: 1 + - Complex patterns of resource usage. + - Cannot capture relationships with semaphores alone. + - Need extra state variables to record information. + - Produce buggy code that is hard to write. + - E.g., if one coder forgets to do `V()`/`signal()` after a critical section, the whole system can deadlock. + - ## Monitors + collapsed:: true + - What are **Monitors**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:24:14.222Z + card-last-score:: 1 + - **Monitors** are an extension of the monolithic monitor used in the OS to allocate memory. + - A programming language construct that supports controlled access to shared data. + - Synchronisation code added by compiler, enforced at runtime -> less work for programmer. + - Monitors can keep track of **who** is allowed to access the shared data and **when** they can do it. + - Monitors are a higher-level construct than semaphores. + - Monitors encapsulate: + - Shared data structures. + - Procedures that operate on shared data. + - Synchronisation between concurrent processes that invoke these procedures. + - +- # Detection & Protection of Deadlock + - ## Requirements for Deadlock #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-11T00:00:00.000Z + card-last-reviewed:: 2022-11-10T10:55:28.721Z + card-last-score:: 1 + - All four conditions must hold for deadlock to occur: + - 1. **Mutex:** At least **one** resource must be **non-shareable**. + 2. **No Pre-Emption:** Resources cannot be **pre-empted** (no way to break priority or take a resource away once allocated). + - Locks have this property. + - 3. **Hold & Wait:** There is an existing process holding a resource and waiting for another resource. + 4. **Circular Wait:** There exists a set of process $P_1, P_2, \cdots, P_N$ such that $P_1$ is waiting for $P_2$, $P_2$ is waiting for $P_3$, ..., and $P_N$ is waiting for $P_1$. + - If only three conditions hold then you can get **starvation**, but not deadlock. + - ## Deadlocks Without Locks #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:13:42.597Z + card-last-score:: 1 + - Deadlocks can occur for any resource or any time a process waits, e.g.: + - Messages: waiting to receive a message before sending a message. + - i.e., hold & wait. + - Allocation: waiting to allocate resources before freeing another resource. + - i.e., hold & wait. + - ## Dealing with Deadlocks #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:25:37.300Z + card-last-score:: 1 + - ### Strategy 1: Ignore #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:14:57.281Z + card-last-score:: 1 + - Ignore the fact that deadlocks may occur. + - Write code, put nothing special in. + - Sometimes you have to reboot the system. + - May work for some unimportant or simple applications where deadlock does not occur often. + - Quite a common approach. + - ### Strategy 2: Reactive #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-11T00:00:00.000Z + card-last-reviewed:: 2022-11-10T10:58:24.765Z + card-last-score:: 1 + - Periodically check for evidence of a deadlock. + - E.g., add timeouts to acquiring a lock, if you timeout, then it implies that deadlock has occurred and you must do something. + - Recovery actions: + - Blue screen of death & reboot computer. + - Pick a process to terminate, e.g., a low-priority one. + - Only works with some types of applications. + - May corrupt data, so the process needs to do clean-up when terminated. + - ### Strategy 3: Proactive #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:18:36.908Z + card-last-score:: 1 + - Prevent one of the four necessary conditions for deadlock. + - No single approach is appropriate (or possible) for all circumstances. + - Need techniques for each of the four conditions. + - #### Solution 1: No Mutual Exclusion + - Make resources shareable. + - E.g., read-only files - no need for locks. + - ### Solution 2: Adding Pre-Emption + - Locks cannot be pre-empted but other pre-emptive methods are possible. + - Strategy: pre-empt resources. + - Example: If process $A$ is waiting for a resource held by process $B$, then take the resource from $B$ and give it to $A$. + - Problems: + - Only works for some resources + - E.g., CPU & Memory (using virtual memory). + - Not possible if a resource cannot be saved & restored. + - Otherwise, taking away a lock causes issues. + - Also, there is an overhead cost for "pre-empt" & "restore". + - ### Solution 3: Avoid Hold & Wait + - Only request a resource when you have none, i.e., release a resource before requesting another. + - Never hold $x$ when want $y$. + - Works in many cases, but you cannot maintain a relationship between $x$ & $y$. + - Acquire all resources at once, e.g., use a single lock to protect all data. + - Having fewer locks is called **lock coarsening**. + - Problem: All processes accessing $A$ or $B$ cannot run at the same time, even if they don't access both variables. + - #### Solution 4: Eliminate Circular Waits + - Strategy: Impose an ordering on resources. + - Processes must acquire the highest-ranked resource first. + - Locks are always acquired in the same order. + - We have eliminated the circular dependency, but we will need to lock a resource for a longer period. + - Strategy: Define an ordering of **all** locks in your program. + - Always acquire locks in that order. + - Problem: Sometimes you do not know the order that the events will be used. + - How do we know the global order? + - Need extra code to find this out and then acquire them in the right order. + - It could get worse. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-09-30T10_01_42.369Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-09-30T10_01_42.369Z.Desktop.md new file mode 100644 index 00000000..f4acf898 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-09-30T10_01_42.369Z.Desktop.md @@ -0,0 +1,401 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Overview of Computer Systems]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1662842733013_0.pdf) +- +- What is a **Processor Programming Model**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:30:08.809Z + card-last-score:: 1 + - A **Processor Programming Model** defines ^^how instructions access their operands and how instructions are described in the processor's assembly language.^^ + - Processors with different programming models can offer similar sets of operations but may require very different approaches to programming. +- +- ## Instructions + - What is the **Instruction Cycle**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:44:15.029Z + card-last-reviewed:: 2022-09-19T17:44:15.030Z + card-last-score:: 5 + - The **Instruction Cycle** is the ^^procedure of processing an instruction^^ by the microprocessor. + - **Fetch:** read the instructions from memory + - **Decode:** Determine what is to be done + - **Execute:** Perform the operation + - Each of the functions fetch -> decode -> execute consist of a sequence of one or more operations inside the CPU (and interaction with the subsystems). + - ### Types of Instructions + - #### Data Transfer Instructions + - What are **Data Transfer Instructions**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:23:45.121Z + card-last-reviewed:: 2022-09-18T15:23:45.122Z + card-last-score:: 5 + - Operations that ^^move data^^ from one place to another. + - These instructions ^^don't modify^^ the data, they just copy it to the destination. + - What operations can data transfer instructions do? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T20:04:00.341Z + card-last-reviewed:: 2022-09-14T20:04:00.342Z + card-last-score:: 3 + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-22T14:49:14.991Z + card-last-reviewed:: 2022-09-18T14:49:14.991Z + card-last-score:: 5 + 1. **Load data** from memory into the microprocessor. #card + - These instructions copy data from memory into microprocessor registers (i.e., LD). + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:25:37.994Z + card-last-reviewed:: 2022-09-19T18:25:37.995Z + card-last-score:: 3 + 2. **Store data** from the microprocessor into the memory. #card + - Similar to load data, except that the data is copied in the opposite direction (i.e., ST). + - Data is saved from internal microprocessor registers into the memory + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:27:19.756Z + card-last-reviewed:: 2022-09-19T18:27:19.757Z + card-last-score:: 5 + 3. **Move data** within the microprocessor. #card + - These instructions move data from one microprocessor register to another (i.e., MOV) + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:44:07.730Z + card-last-reviewed:: 2022-09-19T17:44:07.731Z + card-last-score:: 5 + 4. **Input data** into the microprocessor. + - A microprocessor may need to input data from the outside world. + - These are the instructions that input data from the input device into the microprocessor. + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:47:33.165Z + card-last-reviewed:: 2022-09-19T17:47:33.165Z + card-last-score:: 5 + 5. **Output data** from the microprocessor. + - The microprocessor copies data from one of its internal registers to an output device. + - Example: the microprocessor may want to show the content of an internal register on a display (the key has been pressed) (i.e., IOWR). + - #### Data Operation Instructions #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:22:56.393Z + card-last-reviewed:: 2022-09-19T18:22:56.393Z + card-last-score:: 5 + - Instructions ^^do^^ modify their data values. + - They typically perform some operation (e.g., +, -, *) using one or two data values (operands) and store the result. + - What operations can data operation instructions do? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:24:32.521Z + card-last-reviewed:: 2022-09-19T18:24:32.522Z + card-last-score:: 5 + - **Arithmetic Instructions** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:22:33.756Z + card-last-reviewed:: 2022-09-19T18:22:33.756Z + card-last-score:: 5 + - add, subtract, multiply, or divide + - ADD, SUB, MUL, DIV + - Instructions that increment or decrement one from a value + - INC, DEC + - Floating point instructions that operate on floating point values + - FADD, FSUB, FMUL, FDIV + - **Logic Instructions** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:06:07.075Z + card-last-reviewed:: 2022-09-19T18:06:07.076Z + card-last-score:: 5 + - AND, OR, XOR, NOT, etc. + - **Shift Instructions** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T20:03:10.515Z + card-last-reviewed:: 2022-09-14T20:03:10.515Z + card-last-score:: 3 + - SR, SL, RR, RL, etc. + - #### Program Control Instructions #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-21T20:52:13.309Z + card-last-reviewed:: 2022-09-17T20:52:13.310Z + card-last-score:: 5 + - **Jump** or **branch** instructions are used to ^^go to another part of the program^^; Jumps can be **absolute** or **conditional**. + - e.g., if, then, else. + - Instructions that can generate **interrupts**. + - Software interrupts. + - **Jump & branch instructions** (conditional or unconditional) #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:23:56.248Z + card-last-reviewed:: 2022-09-19T18:23:56.248Z + card-last-score:: 5 + - **JZ:** Jump if the zero flag is set. + - **JNZ:** Jump if the zero flag is **not** set. + - **JMP:** Unconditional jump - flags are ignored. + - etc. + - **Comparison Instructions** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:49:38.450Z + card-last-reviewed:: 2022-09-19T17:49:38.451Z + card-last-score:: 5 + - TEST: logical BITWISE AND + - **Calls & Returns** a / from a routine (conditional or unconditional) #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:26:43.360Z + card-last-reviewed:: 2022-09-19T18:26:43.361Z + card-last-score:: 5 + - **Call:** call a subroutine at a certain line. + - **RET:** return from a subroutine. + - **IRET:** interrupt & return. + - **Software Interrupts** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:26:39.506Z + card-last-reviewed:: 2022-09-19T18:26:39.507Z + card-last-score:: 5 + - Generated by devices outside of a microprocessor (not part of the instruction set). + - INT + - **Exceptions & Traps** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T17:43:10.837Z + card-last-score:: 1 + - Triggered when valid instructions perform invalid operations. + - e.g., dividing by zero. + - **Halt Instructions** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:21:28.059Z + card-last-reviewed:: 2022-09-18T15:21:28.060Z + card-last-score:: 5 + - Causes the processor to stop executions. + - e.g., at the end of the program. + - HALT +- +- ## Stack Architectures + - ### The Stack + - **Last In First Out (LIFO)** data structure. + - Consists of **locations**, each of which can hold a **word of data**. + - It can be used to explicitly **save / restore** data. + - What operations does the stack support? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:28:06.057Z + card-last-reviewed:: 2022-09-19T18:28:06.058Z + card-last-score:: 5 + - The stack supports ^^two operations.^^ + - **PUSH:** takes one argument and places the value of the argument at the top of the stack. + - **POP:** removes one element from the stack, saving it into a predefined register of the processor. + - The stack is ^^used implicitly by procedure call instructions.^^ + - (if available in the data set). + - When new data is added to the stack, it is placed at the top of the stack, and all of the contents of the stack are pushed down one location. + - ### Implementing Stacks + - What are the two ways to implement a stack? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T20:02:02.188Z + card-last-reviewed:: 2022-09-14T20:02:02.189Z + card-last-score:: 3 + - card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:25:12.624Z + card-last-score:: 1 + 1. **Dedicated Hardware Stack** #card + - Has a ^^hardware limitation^^ (limited number of locations). + - Very fast. + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:06:34.732Z + card-last-reviewed:: 2022-09-19T18:06:34.733Z + card-last-score:: 5 + 2. **Memory Implemented Stack** #card + - Limited by the ^^physical memory of the system.^^ + - Slow compared with hardware stacks, since extra memory addressing has to take place for each stack operation. + - ![image.png](../assets/image_1662989698764_0.png){:height 405, :width 638} + - Every **push operation** will ^^increment the top of the **stack pointer**^^ with the word size of the machine. + - Every **pop operation** will ^^decrement the top of the stack pointer^^ (with the word size of the machine). + - **Stack overflows** can occur in both stack implementations + - What is a **stack overflow**? #card + card-last-interval:: 11.16 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-30T20:49:01.529Z + card-last-reviewed:: 2022-09-19T17:49:01.530Z + card-last-score:: 5 + - A **stack overflow** occurs when the amount of data in the stack exceeds the amount of space allocated to the stack (or the hardware limit of the stack). + - ### Instructions in Stack-Based Architecture #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T18:28:26.926Z + card-last-reviewed:: 2022-09-19T18:28:26.926Z + card-last-score:: 3 + - Instructions in a stack-base architecture get their operands from the stack and write their results to the stack. + - The advantage of this is that ^^program code takes little memory - there is no need to specify the address of the operands or registers.^^ + - PUSH is one exception, because it needs the operand to be specified (either as a constant or as an address). + - ### Programs in a Stack-Based Architecture + - Writing programs for stack-based architecture is not easy. + - Stack-based architectures are better suited for **postfix** notation rather than **infix** notation. + - What is **infix notation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:49:06.464Z + card-last-reviewed:: 2022-09-19T17:49:06.465Z + card-last-score:: 5 + - **Infix notation** is the traditional way of representing mathematical expressions, with ^^operations placed **between** the operands.^^ + - e.g., a + b + - What is **postfix notation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:21:53.178Z + card-last-reviewed:: 2022-09-18T15:21:53.178Z + card-last-score:: 5 + - In **postfix notation**, ^^the operation is placed **after** the operands.^^ + - e.g., a b + + - Stack-based architectures are better suited for **postfix notation**. + - Once an expression has been converted into postfix notation, implementing it in programs is easy. + - ### Using Stacks to Implement Procedure Calls + - Programs need a way to **pass inputs to the procedures** that they call and to receive outputs back from them. + - Procedures need to be able to **allocate space in memory for local variables** without overriding any data used by their calling program. + - It is impossible to determine which registers may be used safely by the procedure (especially if the procedure is located in a library). + - So, a mechanism to **save / restore registers** of the calling program has to be in place. + - Procedures need a way to figure out where they were called from. + - So, the execution can **return to the calling program** where the procedure completes (they need to restore the program counter). + - How are procedure calls implemented in Stacks? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-22T14:49:10.043Z + card-last-reviewed:: 2022-09-18T14:49:10.044Z + card-last-score:: 3 + - ![image.png](../assets/image_1662992719528_0.png) + - When a procedure is called, a **block of memory** in the stack called a **stack frame** is allocated. + - The top of the stack pointer is incremented by the **number of locations** in the stack frame. + - When a procedure finishes, it jumps to the **return address** of the stack and the execution of the calling program resumes. + - How are nested procedure calls implemented in the stack? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T18:28:18.819Z + card-last-reviewed:: 2022-09-19T18:28:18.819Z + card-last-score:: 3 + - ![image.png](../assets/image_1662992825434_0.png) + - main program calls function f(), + - function f() calls function g(), + - function g() calls function h() +- ## General-Purpose Register Architectures + - ### General-Purpose Register File + - In GPR Architectures, instructions read their operands and write their results to a **random access register file**. + - The general-purpose register file allows the ^^access of **any** register in **any** order^^ by specifying the number (register ID) of the register. + - What is the main difference between a GPR & a stack? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:05:31.335Z + card-last-reviewed:: 2022-09-19T18:05:31.335Z + card-last-score:: 3 + - The main difference between a GPR and a stack is that repeatedly reading a register will produce the same result and **will not** modify the state of the register file. + - Popping an item from a LIFO structure (stack) **will** modify the contents of the stack, + - Many GPR architectures assign special values to some registers in the register file to make programming easier. + - e.g., sometimes, register 0 is hardwired with value 0 to generate this most common constant. + - ### Instructions in GPR Architecture + - What do GPR instructions need to specify? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-21T20:52:42.181Z + card-last-reviewed:: 2022-09-17T20:52:42.181Z + card-last-score:: 3 + - GPR instructions need to specify: + - **the register** that holds their **input operands** + - the register that will hole the **result** + - What is the most common GPR instruction format? #card + card-last-interval:: 26.21 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-15T22:48:52.100Z + card-last-reviewed:: 2022-09-19T17:48:52.100Z + card-last-score:: 5 + - The most common GPR instruction format is the **three operands instruction format**. + - e.g., "ADD r1, r2, r3" instructs the processor to read the contents of r2 and r3, add them together, and write the results in r1. + - Instructions that only have one or two inputs are also present in GPR architecture. + - Which architecture allows **caching**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:23:37.492Z + card-last-reviewed:: 2022-09-19T18:23:37.492Z + card-last-score:: 5 + - In GPR Architecture, ^^programs can choose which values should be stored in the register file at any given time^^, allowing them to **cache** the most accessed data. + - In stack-based architectures, once the data has been used, it's gone. + - From this point of view, ^^GPR architectures have **better performance**^^, at the expense of needing **more storage space** for the program. + - larger instructions are needed to encode the addresses of the operands. + - #### Simple GPR Instruction Set + - ![image.png](../assets/image_1662991772859_0.png) + - + - ### Programs in a GPR Architecure #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T15:22:40.946Z + card-last-score:: 1 + - Programming a GPR architecture processor is **less structured** than programming a stack-based architecture processor. + - There are **fewer restrictions on the order** in which operations can be executed. + - In stack-based architectures, instructions must execute in the order that would leave the operands for the next instructions on the top of the stack. + - In GPR, any order that places the operands for the next instruction in the register file before the instruction executes is valid. + - Operations that access different registers can be **reordered** without making the program invalid. + - +- ## Stack-Bases vs GPR Architectures + - Stack-based architectures are still attractive for certain embedded systems. + - GPR architectures are used by modern computers. + - ## Stack-Based Architectures #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T20:02:49.354Z + card-last-reviewed:: 2022-09-14T20:02:49.354Z + card-last-score:: 3 + - Instructions take **fewer bits** to encode. + - **Reduced amount of memory** taken up by programs. + - Manages the **use of registers automatically** (no need for programmer intervention). + - The instruction set **does not change** if the size of the register file has changed. + - ## GPR Architectures + - With the evolution of technology, the amount of space taken up by a program is less important. + - Compilers for GPR architecture achieve **better performance** with a given number of general-purpose registers than those on stack-based architectures with the same number of registers. + - The compiler can choose which values to keep (**cache**) in the register file at any time. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-10-07T08_33_33.362Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-10-07T08_33_33.362Z.Desktop.md new file mode 100644 index 00000000..0ba1d889 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-10-07T08_33_33.362Z.Desktop.md @@ -0,0 +1,401 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Overview of Computer Systems]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1662842733013_0.pdf) +- +- What is a **Processor Programming Model**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T08:27:22.997Z + card-last-reviewed:: 2022-09-30T08:27:22.998Z + card-last-score:: 3 + - A **Processor Programming Model** defines ^^how instructions access their operands and how instructions are described in the processor's assembly language.^^ + - Processors with different programming models can offer similar sets of operations but may require very different approaches to programming. +- +- ## Instructions + - What is the **Instruction Cycle**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:30.873Z + card-last-reviewed:: 2022-10-03T11:42:30.874Z + card-last-score:: 5 + - The **Instruction Cycle** is the ^^procedure of processing an instruction^^ by the microprocessor. + - **Fetch:** read the instructions from memory + - **Decode:** Determine what is to be done + - **Execute:** Perform the operation + - Each of the functions fetch -> decode -> execute consist of a sequence of one or more operations inside the CPU (and interaction with the subsystems). + - ### Types of Instructions + - #### Data Transfer Instructions + - What are **Data Transfer Instructions**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:40:48.321Z + card-last-reviewed:: 2022-10-03T11:40:48.321Z + card-last-score:: 5 + - Operations that ^^move data^^ from one place to another. + - These instructions ^^don't modify^^ the data, they just copy it to the destination. + - What operations can data transfer instructions do? #card + card-last-interval:: 10.92 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T06:46:12.475Z + card-last-reviewed:: 2022-09-30T08:46:12.475Z + card-last-score:: 5 + - card-last-interval:: 11.56 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T21:26:36.529Z + card-last-reviewed:: 2022-09-30T08:26:36.529Z + card-last-score:: 5 + 1. **Load data** from memory into the microprocessor. #card + - These instructions copy data from memory into microprocessor registers (i.e., LD). + - card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:28:41.508Z + card-last-reviewed:: 2022-10-03T14:28:41.509Z + card-last-score:: 5 + 2. **Store data** from the microprocessor into the memory. #card + - Similar to load data, except that the data is copied in the opposite direction (i.e., ST). + - Data is saved from internal microprocessor registers into the memory + - card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:29:32.655Z + card-last-reviewed:: 2022-10-03T14:29:32.655Z + card-last-score:: 5 + 3. **Move data** within the microprocessor. + - These instructions move data from one microprocessor register to another (i.e., MOV) + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:44:07.730Z + card-last-reviewed:: 2022-09-19T17:44:07.731Z + card-last-score:: 5 + 4. **Input data** into the microprocessor. + - A microprocessor may need to input data from the outside world. + - These are the instructions that input data from the input device into the microprocessor. + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:47:33.165Z + card-last-reviewed:: 2022-09-19T17:47:33.165Z + card-last-score:: 5 + 5. **Output data** from the microprocessor. + - The microprocessor copies data from one of its internal registers to an output device. + - Example: the microprocessor may want to show the content of an internal register on a display (the key has been pressed) (i.e., IOWR). + - #### Data Operation Instructions #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:45:28.268Z + card-last-reviewed:: 2022-10-03T11:45:28.268Z + card-last-score:: 5 + - Instructions that *do* modify their data values. + - They typically perform some operation (e.g., +, -, *) using one or two data values (operands) and store the result. + - What operations can data operation instructions do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-03T23:00:00.000Z + card-last-reviewed:: 2022-10-03T14:27:42.566Z + card-last-score:: 1 + - **Arithmetic Instructions** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:44:56.702Z + card-last-reviewed:: 2022-10-03T11:44:56.702Z + card-last-score:: 5 + - add, subtract, multiply, or divide + - ADD, SUB, MUL, DIV + - Instructions that increment or decrement one from a value + - INC, DEC + - Floating point instructions that operate on floating point values + - FADD, FSUB, FMUL, FDIV + - **Logic Instructions** + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:43:49.421Z + card-last-reviewed:: 2022-10-03T11:43:49.421Z + card-last-score:: 5 + - AND, OR, XOR, NOT, etc. + - **Shift Instructions** + card-last-interval:: 10.92 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T06:45:44.876Z + card-last-reviewed:: 2022-09-30T08:45:44.877Z + card-last-score:: 5 + - SR, SL, RR, RL, etc. + - #### Program Control Instructions #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T04:28:17.821Z + card-last-reviewed:: 2022-09-30T09:28:17.821Z + card-last-score:: 5 + - **Jump** or **branch** instructions are used to ^^go to another part of the program^^; Jumps can be **absolute** or **conditional**. + - e.g., if, then, else. + - Instructions that can generate **interrupts**. + - Software interrupts. + - **Jump & branch instructions** (conditional or unconditional) + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:27:30.317Z + card-last-reviewed:: 2022-10-03T14:27:30.317Z + card-last-score:: 5 + - **JZ:** Jump if the zero flag is set. + - **JNZ:** Jump if the zero flag is **not** set. + - **JMP:** Unconditional jump - flags are ignored. + - etc. + - **Comparison Instructions** #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:42:52.048Z + card-last-reviewed:: 2022-10-03T11:42:52.049Z + card-last-score:: 3 + - TEST: logical BITWISE AND + - **Calls & Returns** a / from a routine (conditional or unconditional) #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:28:56.319Z + card-last-reviewed:: 2022-10-03T14:28:56.319Z + card-last-score:: 3 + - **Call:** call a subroutine at a certain line. + - **RET:** return from a subroutine. + - **IRET:** interrupt & return. + - **Software Interrupts** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:46.482Z + card-last-reviewed:: 2022-10-03T14:28:46.483Z + card-last-score:: 5 + - Generated by devices outside of a microprocessor (not part of the instruction set). + - INT + - **Exceptions & Traps** #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-04T12:23:07.638Z + card-last-reviewed:: 2022-09-30T09:23:07.638Z + card-last-score:: 5 + - Triggered when valid instructions perform invalid operations. + - e.g., dividing by zero. + - **Halt Instructions** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:56.173Z + card-last-reviewed:: 2022-10-03T11:37:56.174Z + card-last-score:: 5 + - Causes the processor to stop executions. + - e.g., at the end of the program. + - HALT +- +- ## Stack Architectures + - ### The Stack + - **Last In First Out (LIFO)** data structure. + - Consists of **locations**, each of which can hold a **word of data**. + - It can be used to explicitly **save / restore** data. + - What operations does the stack support? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:30:00.780Z + card-last-reviewed:: 2022-10-03T14:30:00.780Z + card-last-score:: 5 + - The stack supports ^^two operations.^^ + - **PUSH:** takes one argument and places the value of the argument at the top of the stack. + - **POP:** removes one element from the stack, saving it into a predefined register of the processor. + - The stack is ^^used implicitly by procedure call instructions.^^ + - (if available in the data set). + - When new data is added to the stack, it is placed at the top of the stack, and all of the contents of the stack are pushed down one location. + - ### Implementing Stacks + - What are the two ways to implement a stack? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T05:45:27.331Z + card-last-reviewed:: 2022-09-30T08:45:27.331Z + card-last-score:: 3 + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-04T09:27:02.226Z + card-last-reviewed:: 2022-09-30T09:27:02.226Z + card-last-score:: 3 + 1. **Dedicated Hardware Stack** #card + - Has a ^^hardware limitation^^ (limited number of locations). + - Very fast. + - card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:44:04.293Z + card-last-reviewed:: 2022-10-03T11:44:04.294Z + card-last-score:: 5 + 2. **Memory Implemented Stack** #card + - Limited by the ^^physical memory of the system.^^ + - Slow compared with hardware stacks, since extra memory addressing has to take place for each stack operation. + - ![image.png](../assets/image_1662989698764_0.png){:height 405, :width 638} + - Every **push operation** will ^^increment the top of the **stack pointer**^^ with the word size of the machine. + - Every **pop operation** will ^^decrement the top of the stack pointer^^ (with the word size of the machine). + - **Stack overflows** can occur in both stack implementations + - What is a **stack overflow**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-04T20:25:37.658Z + card-last-reviewed:: 2022-10-04T12:25:37.659Z + card-last-score:: 5 + - A **stack overflow** occurs when the amount of data in the stack exceeds the amount of space allocated to the stack (or the hardware limit of the stack). + - ### Instructions in Stack-Based Architecture #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T21:30:35.451Z + card-last-reviewed:: 2022-10-03T14:30:35.452Z + card-last-score:: 3 + - Instructions in a stack-base architecture get their operands from the stack and write their results to the stack. + - The advantage of this is that ^^program code takes little memory - there is no need to specify the address of the operands or registers.^^ + - PUSH is one exception, because it needs the operand to be specified (either as a constant or as an address). + - ### Programs in a Stack-Based Architecture + - Writing programs for stack-based architecture is not easy. + - Stack-based architectures are better suited for **postfix** notation rather than **infix** notation. + - What is **infix notation**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:45.628Z + card-last-reviewed:: 2022-10-03T11:42:45.628Z + card-last-score:: 5 + - **Infix notation** is the traditional way of representing mathematical expressions, with ^^operations placed **between** the operands.^^ + - e.g., a + b + - What is **postfix notation**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:39:50.328Z + card-last-reviewed:: 2022-10-03T11:39:50.328Z + card-last-score:: 5 + - In **postfix notation**, ^^the operation is placed **after** the operands.^^ + - e.g., a b + + - Stack-based architectures are better suited for **postfix notation**. + - Once an expression has been converted into postfix notation, implementing it in programs is easy. + - ### Using Stacks to Implement Procedure Calls + - Programs need a way to **pass inputs to the procedures** that they call and to receive outputs back from them. + - Procedures need to be able to **allocate space in memory for local variables** without overriding any data used by their calling program. + - It is impossible to determine which registers may be used safely by the procedure (especially if the procedure is located in a library). + - So, a mechanism to **save / restore registers** of the calling program has to be in place. + - Procedures need a way to figure out where they were called from. + - So, the execution can **return to the calling program** where the procedure completes (they need to restore the program counter). + - How are procedure calls implemented in Stacks? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-08T12:27:13.347Z + card-last-reviewed:: 2022-10-04T12:27:13.347Z + card-last-score:: 3 + - ![image.png](../assets/image_1662992719528_0.png) + - When a procedure is called, a **block of memory** in the stack called a **stack frame** is allocated. + - The top of the stack pointer is incremented by the **number of locations** in the stack frame. + - When a procedure finishes, it jumps to the **return address** of the stack and the execution of the calling program resumes. + - How are nested procedure calls implemented in the stack? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T21:30:20.346Z + card-last-reviewed:: 2022-10-03T14:30:20.347Z + card-last-score:: 3 + - ![image.png](../assets/image_1662992825434_0.png) + - main program calls function f(), + - function f() calls function g(), + - function g() calls function h() +- ## General-Purpose Register Architectures + - ### General-Purpose Register File + - In GPR Architectures, instructions read their operands and write their results to a **random access register file**. + - The general-purpose register file allows the ^^access of **any** register in **any** order^^ by specifying the number (register ID) of the register. + - What is the main difference between a GPR & a stack? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:43:13.452Z + card-last-reviewed:: 2022-10-03T11:43:13.452Z + card-last-score:: 3 + - The main difference between a GPR and a stack is that repeatedly reading a register will produce the same result and **will not** modify the state of the register file. + - Popping an item from a LIFO structure (stack) **will** modify the contents of the stack, + - Many GPR architectures assign special values to some registers in the register file to make programming easier. + - e.g., sometimes, register 0 is hardwired with value 0 to generate this most common constant. + - ### Instructions in GPR Architecture + - What do GPR instructions need to specify? #card + card-last-interval:: 9.84 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T05:28:31.531Z + card-last-reviewed:: 2022-09-30T09:28:31.531Z + card-last-score:: 5 + - GPR instructions need to specify: + - **the register** that holds their **input operands** + - the register that will hole the **result** + - What is the most common GPR instruction format? #card + card-last-interval:: 26.21 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-15T22:48:52.100Z + card-last-reviewed:: 2022-09-19T17:48:52.100Z + card-last-score:: 5 + - The most common GPR instruction format is the **three operands instruction format**. + - e.g., "ADD r1, r2, r3" instructs the processor to read the contents of r2 and r3, add them together, and write the results in r1. + - Instructions that only have one or two inputs are also present in GPR architecture. + - Which architecture allows **caching**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:11:50.487Z + card-last-reviewed:: 2022-09-30T12:11:50.488Z + card-last-score:: 5 + - In GPR Architecture, ^^programs can choose which values should be stored in the register file at any given time^^, allowing them to **cache** the most accessed data. + - In stack-based architectures, once the data has been used, it's gone. + - From this point of view, ^^GPR architectures have **better performance**^^, at the expense of needing **more storage space** for the program. + - larger instructions are needed to encode the addresses of the operands. + - #### Simple GPR Instruction Set + - ![image.png](../assets/image_1662991772859_0.png) + - + - ### Programs in a GPR Architecure #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-08T12:29:33.188Z + card-last-reviewed:: 2022-10-04T12:29:33.188Z + card-last-score:: 5 + - Programming a GPR architecture processor is **less structured** than programming a stack-based architecture processor. + - There are **fewer restrictions on the order** in which operations can be executed. + - In stack-based architectures, instructions must execute in the order that would leave the operands for the next instructions on the top of the stack. + - In GPR, any order that places the operands for the next instruction in the register file before the instruction executes is valid. + - Operations that access different registers can be **reordered** without making the program invalid. + - +- ## Stack-Bases vs GPR Architectures + - Stack-based architectures are still attractive for certain embedded systems. + - GPR architectures are used by modern computers. + - ## Stack-Based Architectures #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-08T12:29:47.226Z + card-last-reviewed:: 2022-10-04T12:29:47.226Z + card-last-score:: 5 + - Instructions take **fewer bits** to encode. + - **Reduced amount of memory** taken up by programs. + - Manages the **use of registers automatically** (no need for programmer intervention). + - The instruction set **does not change** if the size of the register file has changed. + - ## GPR Architectures + - With the evolution of technology, the amount of space taken up by a program is less important. + - Compilers for GPR architecture achieve **better performance** with a given number of general-purpose registers than those on stack-based architectures with the same number of registers. + - The compiler can choose which values to keep (**cache**) in the register file at any time. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-10-10T11_59_52.467Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-10-10T11_59_52.467Z.Desktop.md new file mode 100644 index 00000000..75bba2f0 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-10-10T11_59_52.467Z.Desktop.md @@ -0,0 +1,401 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Overview of Computer Systems]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1662842733013_0.pdf) +- +- What is a **Processor Programming Model**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:41:26.528Z + card-last-score:: 1 + - A **Processor Programming Model** defines ^^how instructions access their operands and how instructions are described in the processor's assembly language.^^ + - Processors with different programming models can offer similar sets of operations but may require very different approaches to programming. +- +- ## Instructions + - What is the **Instruction Cycle**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:30.873Z + card-last-reviewed:: 2022-10-03T11:42:30.874Z + card-last-score:: 5 + - The **Instruction Cycle** is the ^^procedure of processing an instruction^^ by the microprocessor. + - **Fetch:** read the instructions from memory + - **Decode:** Determine what is to be done + - **Execute:** Perform the operation + - Each of the functions fetch -> decode -> execute consist of a sequence of one or more operations inside the CPU (and interaction with the subsystems). + - ### Types of Instructions + - #### Data Transfer Instructions + - What are **Data Transfer Instructions**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:40:48.321Z + card-last-reviewed:: 2022-10-03T11:40:48.321Z + card-last-score:: 5 + - Operations that ^^move data^^ from one place to another. + - These instructions ^^don't modify^^ the data, they just copy it to the destination. + - What operations can data transfer instructions do? #card + card-last-interval:: 10.92 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T06:46:12.475Z + card-last-reviewed:: 2022-09-30T08:46:12.475Z + card-last-score:: 5 + - card-last-interval:: 11.56 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T21:26:36.529Z + card-last-reviewed:: 2022-09-30T08:26:36.529Z + card-last-score:: 5 + 1. **Load data** from memory into the microprocessor. #card + - These instructions copy data from memory into microprocessor registers (i.e., LD). + - card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:28:41.508Z + card-last-reviewed:: 2022-10-03T14:28:41.509Z + card-last-score:: 5 + 2. **Store data** from the microprocessor into the memory. #card + - Similar to load data, except that the data is copied in the opposite direction (i.e., ST). + - Data is saved from internal microprocessor registers into the memory + - card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:29:32.655Z + card-last-reviewed:: 2022-10-03T14:29:32.655Z + card-last-score:: 5 + 3. **Move data** within the microprocessor. + - These instructions move data from one microprocessor register to another (i.e., MOV) + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:44:07.730Z + card-last-reviewed:: 2022-09-19T17:44:07.731Z + card-last-score:: 5 + 4. **Input data** into the microprocessor. + - A microprocessor may need to input data from the outside world. + - These are the instructions that input data from the input device into the microprocessor. + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:47:33.165Z + card-last-reviewed:: 2022-09-19T17:47:33.165Z + card-last-score:: 5 + 5. **Output data** from the microprocessor. + - The microprocessor copies data from one of its internal registers to an output device. + - Example: the microprocessor may want to show the content of an internal register on a display (the key has been pressed) (i.e., IOWR). + - #### Data Operation Instructions #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:45:28.268Z + card-last-reviewed:: 2022-10-03T11:45:28.268Z + card-last-score:: 5 + - Instructions that *do* modify their data values. + - They typically perform some operation (e.g., +, -, *) using one or two data values (operands) and store the result. + - What operations can data operation instructions do? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-10T17:11:57.372Z + card-last-reviewed:: 2022-10-06T17:11:57.372Z + card-last-score:: 5 + - **Arithmetic Instructions** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:44:56.702Z + card-last-reviewed:: 2022-10-03T11:44:56.702Z + card-last-score:: 5 + - add, subtract, multiply, or divide + - ADD, SUB, MUL, DIV + - Instructions that increment or decrement one from a value + - INC, DEC + - Floating point instructions that operate on floating point values + - FADD, FSUB, FMUL, FDIV + - **Logic Instructions** + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:43:49.421Z + card-last-reviewed:: 2022-10-03T11:43:49.421Z + card-last-score:: 5 + - AND, OR, XOR, NOT, etc. + - **Shift Instructions** + card-last-interval:: 10.92 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T06:45:44.876Z + card-last-reviewed:: 2022-09-30T08:45:44.877Z + card-last-score:: 5 + - SR, SL, RR, RL, etc. + - #### Program Control Instructions #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T04:28:17.821Z + card-last-reviewed:: 2022-09-30T09:28:17.821Z + card-last-score:: 5 + - **Jump** or **branch** instructions are used to ^^go to another part of the program^^; Jumps can be **absolute** or **conditional**. + - e.g., if, then, else. + - Instructions that can generate **interrupts**. + - Software interrupts. + - **Jump & branch instructions** (conditional or unconditional) + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:27:30.317Z + card-last-reviewed:: 2022-10-03T14:27:30.317Z + card-last-score:: 5 + - **JZ:** Jump if the zero flag is set. + - **JNZ:** Jump if the zero flag is **not** set. + - **JMP:** Unconditional jump - flags are ignored. + - etc. + - **Comparison Instructions** #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:42:52.048Z + card-last-reviewed:: 2022-10-03T11:42:52.049Z + card-last-score:: 3 + - TEST: logical BITWISE AND + - **Calls & Returns** a / from a routine (conditional or unconditional) #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:28:56.319Z + card-last-reviewed:: 2022-10-03T14:28:56.319Z + card-last-score:: 3 + - **Call:** call a subroutine at a certain line. + - **RET:** return from a subroutine. + - **IRET:** interrupt & return. + - **Software Interrupts** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:46.482Z + card-last-reviewed:: 2022-10-03T14:28:46.483Z + card-last-score:: 5 + - Generated by devices outside of a microprocessor (not part of the instruction set). + - INT + - **Exceptions & Traps** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:33:23.926Z + card-last-score:: 1 + - Triggered when valid instructions perform invalid operations. + - e.g., dividing by zero. + - **Halt Instructions** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:56.173Z + card-last-reviewed:: 2022-10-03T11:37:56.174Z + card-last-score:: 5 + - Causes the processor to stop executions. + - e.g., at the end of the program. + - HALT +- +- ## Stack Architectures + - ### The Stack + - **Last In First Out (LIFO)** data structure. + - Consists of **locations**, each of which can hold a **word of data**. + - It can be used to explicitly **save / restore** data. + - What operations does the stack support? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:30:00.780Z + card-last-reviewed:: 2022-10-03T14:30:00.780Z + card-last-score:: 5 + - The stack supports ^^two operations.^^ + - **PUSH:** takes one argument and places the value of the argument at the top of the stack. + - **POP:** removes one element from the stack, saving it into a predefined register of the processor. + - The stack is ^^used implicitly by procedure call instructions.^^ + - (if available in the data set). + - When new data is added to the stack, it is placed at the top of the stack, and all of the contents of the stack are pushed down one location. + - ### Implementing Stacks + - What are the two ways to implement a stack? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-09T05:45:27.331Z + card-last-reviewed:: 2022-09-30T08:45:27.331Z + card-last-score:: 3 + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-12T15:29:51.594Z + card-last-reviewed:: 2022-10-08T15:29:51.595Z + card-last-score:: 3 + 1. **Dedicated Hardware Stack** #card + - Has a ^^hardware limitation^^ (limited number of locations). + - Very fast. + - card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:44:04.293Z + card-last-reviewed:: 2022-10-03T11:44:04.294Z + card-last-score:: 5 + 2. **Memory Implemented Stack** #card + - Limited by the ^^physical memory of the system.^^ + - Slow compared with hardware stacks, since extra memory addressing has to take place for each stack operation. + - ![image.png](../assets/image_1662989698764_0.png){:height 405, :width 638} + - Every **push operation** will ^^increment the top of the **stack pointer**^^ with the word size of the machine. + - Every **pop operation** will ^^decrement the top of the stack pointer^^ (with the word size of the machine). + - **Stack overflows** can occur in both stack implementations + - What is a **stack overflow**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-04T20:25:37.658Z + card-last-reviewed:: 2022-10-04T12:25:37.659Z + card-last-score:: 5 + - A **stack overflow** occurs when the amount of data in the stack exceeds the amount of space allocated to the stack (or the hardware limit of the stack). + - ### Instructions in Stack-Based Architecture #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T21:30:35.451Z + card-last-reviewed:: 2022-10-03T14:30:35.452Z + card-last-score:: 3 + - Instructions in a stack-base architecture get their operands from the stack and write their results to the stack. + - The advantage of this is that ^^program code takes little memory - there is no need to specify the address of the operands or registers.^^ + - PUSH is one exception, because it needs the operand to be specified (either as a constant or as an address). + - ### Programs in a Stack-Based Architecture + - Writing programs for stack-based architecture is not easy. + - Stack-based architectures are better suited for **postfix** notation rather than **infix** notation. + - What is **infix notation**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:45.628Z + card-last-reviewed:: 2022-10-03T11:42:45.628Z + card-last-score:: 5 + - **Infix notation** is the traditional way of representing mathematical expressions, with ^^operations placed **between** the operands.^^ + - e.g., a + b + - What is **postfix notation**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:39:50.328Z + card-last-reviewed:: 2022-10-03T11:39:50.328Z + card-last-score:: 5 + - In **postfix notation**, ^^the operation is placed **after** the operands.^^ + - e.g., a b + + - Stack-based architectures are better suited for **postfix notation**. + - Once an expression has been converted into postfix notation, implementing it in programs is easy. + - ### Using Stacks to Implement Procedure Calls + - Programs need a way to **pass inputs to the procedures** that they call and to receive outputs back from them. + - Procedures need to be able to **allocate space in memory for local variables** without overriding any data used by their calling program. + - It is impossible to determine which registers may be used safely by the procedure (especially if the procedure is located in a library). + - So, a mechanism to **save / restore registers** of the calling program has to be in place. + - Procedures need a way to figure out where they were called from. + - So, the execution can **return to the calling program** where the procedure completes (they need to restore the program counter). + - How are procedure calls implemented in Stacks? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-18T04:57:53.451Z + card-last-reviewed:: 2022-10-08T22:57:53.496Z + card-last-score:: 5 + - ![image.png](../assets/image_1662992719528_0.png) + - When a procedure is called,^^a block of memory in the stack called a **stack frame** is allocated.^^ + - The top of the **stack pointer** is incremented by the number of locations in the stack frame. + - When a procedure finishes, it jumps to the **return address** of the stack and the execution of the calling program resumes. + - How are nested procedure calls implemented in the stack? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T21:30:20.346Z + card-last-reviewed:: 2022-10-03T14:30:20.347Z + card-last-score:: 3 + - ![image.png](../assets/image_1662992825434_0.png) + - main program calls function f(), + - function f() calls function g(), + - function g() calls function h() +- ## General-Purpose Register Architectures + - ### General-Purpose Register File + - In GPR Architectures, instructions read their operands and write their results to a **random access register file**. + - The general-purpose register file allows the ^^access of **any** register in **any** order^^ by specifying the number (register ID) of the register. + - What is the main difference between a GPR & a stack? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:43:13.452Z + card-last-reviewed:: 2022-10-03T11:43:13.452Z + card-last-score:: 3 + - The main difference between a GPR and a stack is that repeatedly reading a register will produce the same result and **will not** modify the state of the register file. + - Popping an item from a LIFO structure (stack) **will** modify the contents of the stack, + - Many GPR architectures assign special values to some registers in the register file to make programming easier. + - e.g., sometimes, register 0 is hardwired with value 0 to generate this most common constant. + - ### Instructions in GPR Architecture + - What do GPR instructions need to specify? #card + card-last-interval:: 9.84 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T05:28:31.531Z + card-last-reviewed:: 2022-09-30T09:28:31.531Z + card-last-score:: 5 + - GPR instructions need to specify: + - **the register** that holds their **input operands** + - the register that will hole the **result** + - What is the most common GPR instruction format? #card + card-last-interval:: 26.21 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-15T22:48:52.100Z + card-last-reviewed:: 2022-09-19T17:48:52.100Z + card-last-score:: 5 + - The most common GPR instruction format is the **three operands instruction format**. + - e.g., "ADD r1, r2, r3" instructs the processor to read the contents of r2 and r3, add them together, and write the results in r1. + - Instructions that only have one or two inputs are also present in GPR architecture. + - Which architecture allows **caching**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:11:50.487Z + card-last-reviewed:: 2022-09-30T12:11:50.488Z + card-last-score:: 5 + - In GPR Architecture, ^^programs can choose which values should be stored in the register file at any given time^^, allowing them to **cache** the most accessed data. + - In stack-based architectures, once the data has been used, it's gone. + - From this point of view, ^^GPR architectures have **better performance**^^, at the expense of needing **more storage space** for the program. + - larger instructions are needed to encode the addresses of the operands. + - #### Simple GPR Instruction Set + - ![image.png](../assets/image_1662991772859_0.png) + - + - ### Programs in a GPR Architecure #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-19T12:58:16.278Z + card-last-reviewed:: 2022-10-08T22:58:16.278Z + card-last-score:: 5 + - Programming a GPR architecture processor is **less structured** than programming a stack-based architecture processor. + - There are **fewer restrictions on the order** in which operations can be executed. + - In stack-based architectures, instructions must execute in the order that would leave the operands for the next instructions on the top of the stack. + - In GPR, any order that places the operands for the next instruction in the register file before the instruction executes is valid. + - Operations that access different registers can be **reordered** without making the program invalid. + - +- ## Stack-Bases vs GPR Architectures + - Stack-based architectures are still attractive for certain embedded systems. + - GPR architectures are used by modern computers. + - ## Stack-Based Architectures #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-19T12:59:04.549Z + card-last-reviewed:: 2022-10-08T22:59:04.550Z + card-last-score:: 5 + - Instructions take **fewer bits** to encode. + - **Reduced amount of memory** taken up by programs. + - Manages the **use of registers automatically** (no need for programmer intervention). + - The instruction set **does not change** if the size of the register file has changed. + - ## GPR Architectures + - With the evolution of technology, the amount of space taken up by a program is less important. + - Compilers for GPR architecture achieve **better performance** with a given number of general-purpose registers than those on stack-based architectures with the same number of registers. + - The compiler can choose which values to keep (**cache**) in the register file at any time. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-10-20T09_05_57.990Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-10-20T09_05_57.990Z.Desktop.md new file mode 100644 index 00000000..560b8a24 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-10-20T09_05_57.990Z.Desktop.md @@ -0,0 +1,401 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Overview of Computer Systems]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1662842733013_0.pdf) +- +- What is a **Processor Programming Model**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:40:54.101Z + card-last-reviewed:: 2022-10-10T11:40:54.101Z + card-last-score:: 5 + - A **Processor Programming Model** defines ^^how instructions access their operands and how instructions are described in the processor's assembly language.^^ + - Processors with different programming models can offer similar sets of operations but may require very different approaches to programming. +- +- ## Instructions + - What is the **Instruction Cycle**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:30.873Z + card-last-reviewed:: 2022-10-03T11:42:30.874Z + card-last-score:: 5 + - The **Instruction Cycle** is the ^^procedure of processing an instruction^^ by the microprocessor. + - **Fetch:** read the instructions from memory + - **Decode:** Determine what is to be done + - **Execute:** Perform the operation + - Each of the functions fetch -> decode -> execute consist of a sequence of one or more operations inside the CPU (and interaction with the subsystems). + - ### Types of Instructions + - #### Data Transfer Instructions + - What are **Data Transfer Instructions**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:40:48.321Z + card-last-reviewed:: 2022-10-03T11:40:48.321Z + card-last-score:: 5 + - Operations that ^^move data^^ from one place to another. + - These instructions ^^don't modify^^ the data, they just copy it to the destination. + - What operations can data transfer instructions do? #card + card-last-interval:: 10.92 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T06:46:12.475Z + card-last-reviewed:: 2022-09-30T08:46:12.475Z + card-last-score:: 5 + - card-last-interval:: 11.56 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T21:26:36.529Z + card-last-reviewed:: 2022-09-30T08:26:36.529Z + card-last-score:: 5 + 1. **Load data** from memory into the microprocessor. #card + - These instructions copy data from memory into microprocessor registers (i.e., LD). + - card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:28:41.508Z + card-last-reviewed:: 2022-10-03T14:28:41.509Z + card-last-score:: 5 + 2. **Store data** from the microprocessor into the memory. #card + - Similar to load data, except that the data is copied in the opposite direction (i.e., ST). + - Data is saved from internal microprocessor registers into the memory + - card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:29:32.655Z + card-last-reviewed:: 2022-10-03T14:29:32.655Z + card-last-score:: 5 + 3. **Move data** within the microprocessor. + - These instructions move data from one microprocessor register to another (i.e., MOV) + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:44:07.730Z + card-last-reviewed:: 2022-09-19T17:44:07.731Z + card-last-score:: 5 + 4. **Input data** into the microprocessor. + - A microprocessor may need to input data from the outside world. + - These are the instructions that input data from the input device into the microprocessor. + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:47:33.165Z + card-last-reviewed:: 2022-09-19T17:47:33.165Z + card-last-score:: 5 + 5. **Output data** from the microprocessor. + - The microprocessor copies data from one of its internal registers to an output device. + - Example: the microprocessor may want to show the content of an internal register on a display (the key has been pressed) (i.e., IOWR). + - #### Data Operation Instructions #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:45:28.268Z + card-last-reviewed:: 2022-10-03T11:45:28.268Z + card-last-score:: 5 + - Instructions that *do* modify their data values. + - They typically perform some operation (e.g., +, -, *) using one or two data values (operands) and store the result. + - What operations can data operation instructions do? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-10T17:11:57.372Z + card-last-reviewed:: 2022-10-06T17:11:57.372Z + card-last-score:: 5 + - **Arithmetic Instructions** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:44:56.702Z + card-last-reviewed:: 2022-10-03T11:44:56.702Z + card-last-score:: 5 + - add, subtract, multiply, or divide + - ADD, SUB, MUL, DIV + - Instructions that increment or decrement one from a value + - INC, DEC + - Floating point instructions that operate on floating point values + - FADD, FSUB, FMUL, FDIV + - **Logic Instructions** + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:43:49.421Z + card-last-reviewed:: 2022-10-03T11:43:49.421Z + card-last-score:: 5 + - AND, OR, XOR, NOT, etc. + - **Shift Instructions** + card-last-interval:: 10.92 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T06:45:44.876Z + card-last-reviewed:: 2022-09-30T08:45:44.877Z + card-last-score:: 5 + - SR, SL, RR, RL, etc. + - #### Program Control Instructions #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T04:28:17.821Z + card-last-reviewed:: 2022-09-30T09:28:17.821Z + card-last-score:: 5 + - **Jump** or **branch** instructions are used to ^^go to another part of the program^^; Jumps can be **absolute** or **conditional**. + - e.g., if, then, else. + - Instructions that can generate **interrupts**. + - Software interrupts. + - **Jump & branch instructions** (conditional or unconditional) + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:27:30.317Z + card-last-reviewed:: 2022-10-03T14:27:30.317Z + card-last-score:: 5 + - **JZ:** Jump if the zero flag is set. + - **JNZ:** Jump if the zero flag is **not** set. + - **JMP:** Unconditional jump - flags are ignored. + - etc. + - **Comparison Instructions** #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:42:52.048Z + card-last-reviewed:: 2022-10-03T11:42:52.049Z + card-last-score:: 3 + - TEST: logical BITWISE AND + - **Calls & Returns** a / from a routine (conditional or unconditional) #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:28:56.319Z + card-last-reviewed:: 2022-10-03T14:28:56.319Z + card-last-score:: 3 + - **Call:** call a subroutine at a certain line. + - **RET:** return from a subroutine. + - **IRET:** interrupt & return. + - **Software Interrupts** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:46.482Z + card-last-reviewed:: 2022-10-03T14:28:46.483Z + card-last-score:: 5 + - Generated by devices outside of a microprocessor (not part of the instruction set). + - INT + - **Exceptions & Traps** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:40:14.195Z + card-last-score:: 1 + - Triggered when valid instructions perform invalid operations. + - e.g., dividing by zero. + - **Halt Instructions** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:56.173Z + card-last-reviewed:: 2022-10-03T11:37:56.174Z + card-last-score:: 5 + - Causes the processor to stop executions. + - e.g., at the end of the program. + - HALT +- +- ## Stack Architectures + - ### The Stack + - **Last In First Out (LIFO)** data structure. + - Consists of **locations**, each of which can hold a **word of data**. + - It can be used to explicitly **save / restore** data. + - What operations does the stack support? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:30:00.780Z + card-last-reviewed:: 2022-10-03T14:30:00.780Z + card-last-score:: 5 + - The stack supports ^^two operations.^^ + - **PUSH:** takes one argument and places the value of the argument at the top of the stack. + - **POP:** removes one element from the stack, saving it into a predefined register of the processor. + - The stack is ^^used implicitly by procedure call instructions.^^ + - (if available in the data set). + - When new data is added to the stack, it is placed at the top of the stack, and all of the contents of the stack are pushed down one location. + - ### Implementing Stacks + - What are the two ways to implement a stack? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-31T23:42:47.216Z + card-last-reviewed:: 2022-10-10T11:42:47.216Z + card-last-score:: 5 + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-12T15:29:51.594Z + card-last-reviewed:: 2022-10-08T15:29:51.595Z + card-last-score:: 3 + 1. **Dedicated Hardware Stack** #card + - Has a ^^hardware limitation^^ (limited number of locations). + - Very fast. + - card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:44:04.293Z + card-last-reviewed:: 2022-10-03T11:44:04.294Z + card-last-score:: 5 + 2. **Memory Implemented Stack** #card + - Limited by the ^^physical memory of the system.^^ + - Slow compared with hardware stacks, since extra memory addressing has to take place for each stack operation. + - ![image.png](../assets/image_1662989698764_0.png){:height 405, :width 638} + - Every **push operation** will ^^increment the top of the **stack pointer**^^ with the word size of the machine. + - Every **pop operation** will ^^decrement the top of the stack pointer^^ (with the word size of the machine). + - **Stack overflows** can occur in both stack implementations + - What is a **stack overflow**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-04T20:25:37.658Z + card-last-reviewed:: 2022-10-04T12:25:37.659Z + card-last-score:: 5 + - A **stack overflow** occurs when the amount of data in the stack exceeds the amount of space allocated to the stack (or the hardware limit of the stack). + - ### Instructions in Stack-Based Architecture #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-03T09:43:35.672Z + card-last-reviewed:: 2022-10-19T08:43:35.673Z + card-last-score:: 3 + - Instructions in a stack-base architecture get their operands from the stack and write their results to the stack. + - The advantage of this is that ^^program code takes little memory - there is no need to specify the address of the operands or registers.^^ + - PUSH is one exception, because it needs the operand to be specified (either as a constant or as an address). + - ### Programs in a Stack-Based Architecture + - Writing programs for stack-based architecture is not easy. + - Stack-based architectures are better suited for **postfix** notation rather than **infix** notation. + - What is **infix notation**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:45.628Z + card-last-reviewed:: 2022-10-03T11:42:45.628Z + card-last-score:: 5 + - **Infix notation** is the traditional way of representing mathematical expressions, with ^^operations placed **between** the operands.^^ + - e.g., a + b + - What is **postfix notation**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:39:50.328Z + card-last-reviewed:: 2022-10-03T11:39:50.328Z + card-last-score:: 5 + - In **postfix notation**, ^^the operation is placed **after** the operands.^^ + - e.g., a b + + - Stack-based architectures are better suited for **postfix notation**. + - Once an expression has been converted into postfix notation, implementing it in programs is easy. + - ### Using Stacks to Implement Procedure Calls + - Programs need a way to **pass inputs to the procedures** that they call and to receive outputs back from them. + - Procedures need to be able to **allocate space in memory for local variables** without overriding any data used by their calling program. + - It is impossible to determine which registers may be used safely by the procedure (especially if the procedure is located in a library). + - So, a mechanism to **save / restore registers** of the calling program has to be in place. + - Procedures need a way to figure out where they were called from. + - So, the execution can **return to the calling program** where the procedure completes (they need to restore the program counter). + - How are procedure calls implemented in Stacks? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-18T04:57:53.451Z + card-last-reviewed:: 2022-10-08T22:57:53.496Z + card-last-score:: 5 + - ![image.png](../assets/image_1662992719528_0.png) + - When a procedure is called,^^a block of memory in the stack called a **stack frame** is allocated.^^ + - The top of the **stack pointer** is incremented by the number of locations in the stack frame. + - When a procedure finishes, it jumps to the **return address** of the stack and the execution of the calling program resumes. + - How are nested procedure calls implemented in the stack? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-11T21:30:20.346Z + card-last-reviewed:: 2022-10-03T14:30:20.347Z + card-last-score:: 3 + - ![image.png](../assets/image_1662992825434_0.png) + - main program calls function f(), + - function f() calls function g(), + - function g() calls function h() +- ## General-Purpose Register Architectures + - ### General-Purpose Register File + - In GPR Architectures, instructions read their operands and write their results to a **random access register file**. + - The general-purpose register file allows the ^^access of **any** register in **any** order^^ by specifying the number (register ID) of the register. + - What is the main difference between a GPR & a stack? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:43:13.452Z + card-last-reviewed:: 2022-10-03T11:43:13.452Z + card-last-score:: 3 + - The main difference between a GPR and a stack is that repeatedly reading a register will produce the same result and **will not** modify the state of the register file. + - Popping an item from a LIFO structure (stack) **will** modify the contents of the stack, + - Many GPR architectures assign special values to some registers in the register file to make programming easier. + - e.g., sometimes, register 0 is hardwired with value 0 to generate this most common constant. + - ### Instructions in GPR Architecture + - What do GPR instructions need to specify? #card + card-last-interval:: 9.84 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T05:28:31.531Z + card-last-reviewed:: 2022-09-30T09:28:31.531Z + card-last-score:: 5 + - GPR instructions need to specify: + - **the register** that holds their **input operands** + - the register that will hole the **result** + - What is the most common GPR instruction format? #card + card-last-interval:: 26.21 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-15T22:48:52.100Z + card-last-reviewed:: 2022-09-19T17:48:52.100Z + card-last-score:: 5 + - The most common GPR instruction format is the **three operands instruction format**. + - e.g., "ADD r1, r2, r3" instructs the processor to read the contents of r2 and r3, add them together, and write the results in r1. + - Instructions that only have one or two inputs are also present in GPR architecture. + - Which architecture allows **caching**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:11:50.487Z + card-last-reviewed:: 2022-09-30T12:11:50.488Z + card-last-score:: 5 + - In GPR Architecture, ^^programs can choose which values should be stored in the register file at any given time^^, allowing them to **cache** the most accessed data. + - In stack-based architectures, once the data has been used, it's gone. + - From this point of view, ^^GPR architectures have **better performance**^^, at the expense of needing **more storage space** for the program. + - larger instructions are needed to encode the addresses of the operands. + - #### Simple GPR Instruction Set + - ![image.png](../assets/image_1662991772859_0.png) + - + - ### Programs in a GPR Architecure #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-19T12:58:16.278Z + card-last-reviewed:: 2022-10-08T22:58:16.278Z + card-last-score:: 5 + - Programming a GPR architecture processor is **less structured** than programming a stack-based architecture processor. + - There are **fewer restrictions on the order** in which operations can be executed. + - In stack-based architectures, instructions must execute in the order that would leave the operands for the next instructions on the top of the stack. + - In GPR, any order that places the operands for the next instruction in the register file before the instruction executes is valid. + - Operations that access different registers can be **reordered** without making the program invalid. + - +- ## Stack-Bases vs GPR Architectures + - Stack-based architectures are still attractive for certain embedded systems. + - GPR architectures are used by modern computers. + - ## Stack-Based Architectures #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-19T12:59:04.549Z + card-last-reviewed:: 2022-10-08T22:59:04.550Z + card-last-score:: 5 + - Instructions take **fewer bits** to encode. + - **Reduced amount of memory** taken up by programs. + - Manages the **use of registers automatically** (no need for programmer intervention). + - The instruction set **does not change** if the size of the register file has changed. + - ## GPR Architectures + - With the evolution of technology, the amount of space taken up by a program is less important. + - Compilers for GPR architecture achieve **better performance** with a given number of general-purpose registers than those on stack-based architectures with the same number of registers. + - The compiler can choose which values to keep (**cache**) in the register file at any time. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-11-09T13_03_58.137Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-11-09T13_03_58.137Z.Desktop.md new file mode 100644 index 00000000..1f9a61a2 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-11-09T13_03_58.137Z.Desktop.md @@ -0,0 +1,401 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Overview of Computer Systems]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1662842733013_0.pdf) +- +- What is a **Processor Programming Model**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:40:54.101Z + card-last-reviewed:: 2022-10-10T11:40:54.101Z + card-last-score:: 5 + - A **Processor Programming Model** defines ^^how instructions access their operands and how instructions are described in the processor's assembly language.^^ + - Processors with different programming models can offer similar sets of operations but may require very different approaches to programming. +- +- ## Instructions + - What is the **Instruction Cycle**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:30.873Z + card-last-reviewed:: 2022-10-03T11:42:30.874Z + card-last-score:: 5 + - The **Instruction Cycle** is the ^^procedure of processing an instruction^^ by the microprocessor. + - **Fetch:** read the instructions from memory + - **Decode:** Determine what is to be done + - **Execute:** Perform the operation + - Each of the functions fetch -> decode -> execute consist of a sequence of one or more operations inside the CPU (and interaction with the subsystems). + - ### Types of Instructions + - #### Data Transfer Instructions + - What are **Data Transfer Instructions**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:40:48.321Z + card-last-reviewed:: 2022-10-03T11:40:48.321Z + card-last-score:: 5 + - Operations that ^^move data^^ from one place to another. + - These instructions ^^don't modify^^ the data, they just copy it to the destination. + - What operations can data transfer instructions do? #card + card-last-interval:: 10.92 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T06:46:12.475Z + card-last-reviewed:: 2022-09-30T08:46:12.475Z + card-last-score:: 5 + - card-last-interval:: 11.56 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T21:26:36.529Z + card-last-reviewed:: 2022-09-30T08:26:36.529Z + card-last-score:: 5 + 1. **Load data** from memory into the microprocessor. #card + - These instructions copy data from memory into microprocessor registers (i.e., LD). + - card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:28:41.508Z + card-last-reviewed:: 2022-10-03T14:28:41.509Z + card-last-score:: 5 + 2. **Store data** from the microprocessor into the memory. #card + - Similar to load data, except that the data is copied in the opposite direction (i.e., ST). + - Data is saved from internal microprocessor registers into the memory + - card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:29:32.655Z + card-last-reviewed:: 2022-10-03T14:29:32.655Z + card-last-score:: 5 + 3. **Move data** within the microprocessor. + - These instructions move data from one microprocessor register to another (i.e., MOV) + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:44:07.730Z + card-last-reviewed:: 2022-09-19T17:44:07.731Z + card-last-score:: 5 + 4. **Input data** into the microprocessor. + - A microprocessor may need to input data from the outside world. + - These are the instructions that input data from the input device into the microprocessor. + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:47:33.165Z + card-last-reviewed:: 2022-09-19T17:47:33.165Z + card-last-score:: 5 + 5. **Output data** from the microprocessor. + - The microprocessor copies data from one of its internal registers to an output device. + - Example: the microprocessor may want to show the content of an internal register on a display (the key has been pressed) (i.e., IOWR). + - #### Data Operation Instructions #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:45:28.268Z + card-last-reviewed:: 2022-10-03T11:45:28.268Z + card-last-score:: 5 + - Instructions that *do* modify their data values. + - They typically perform some operation (e.g., +, -, *) using one or two data values (operands) and store the result. + - What operations can data operation instructions do? #card + card-last-interval:: 10.64 + card-repeats:: 3 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-10-30T23:33:48.626Z + card-last-reviewed:: 2022-10-20T08:33:48.627Z + card-last-score:: 3 + - **Arithmetic Instructions** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:44:56.702Z + card-last-reviewed:: 2022-10-03T11:44:56.702Z + card-last-score:: 5 + - add, subtract, multiply, or divide + - ADD, SUB, MUL, DIV + - Instructions that increment or decrement one from a value + - INC, DEC + - Floating point instructions that operate on floating point values + - FADD, FSUB, FMUL, FDIV + - **Logic Instructions** + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:43:49.421Z + card-last-reviewed:: 2022-10-03T11:43:49.421Z + card-last-score:: 5 + - AND, OR, XOR, NOT, etc. + - **Shift Instructions** + card-last-interval:: 10.92 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T06:45:44.876Z + card-last-reviewed:: 2022-09-30T08:45:44.877Z + card-last-score:: 5 + - SR, SL, RR, RL, etc. + - #### Program Control Instructions #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T04:28:17.821Z + card-last-reviewed:: 2022-09-30T09:28:17.821Z + card-last-score:: 5 + - **Jump** or **branch** instructions are used to ^^go to another part of the program^^; Jumps can be **absolute** or **conditional**. + - e.g., if, then, else. + - Instructions that can generate **interrupts**. + - Software interrupts. + - **Jump & branch instructions** (conditional or unconditional) + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:27:30.317Z + card-last-reviewed:: 2022-10-03T14:27:30.317Z + card-last-score:: 5 + - **JZ:** Jump if the zero flag is set. + - **JNZ:** Jump if the zero flag is **not** set. + - **JMP:** Unconditional jump - flags are ignored. + - etc. + - **Comparison Instructions** #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:42:52.048Z + card-last-reviewed:: 2022-10-03T11:42:52.049Z + card-last-score:: 3 + - TEST: logical BITWISE AND + - **Calls & Returns** a / from a routine (conditional or unconditional) #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:28:56.319Z + card-last-reviewed:: 2022-10-03T14:28:56.319Z + card-last-score:: 3 + - **Call:** call a subroutine at a certain line. + - **RET:** return from a subroutine. + - **IRET:** interrupt & return. + - **Software Interrupts** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:46.482Z + card-last-reviewed:: 2022-10-03T14:28:46.483Z + card-last-score:: 5 + - Generated by devices outside of a microprocessor (not part of the instruction set). + - INT + - **Exceptions & Traps** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-24T08:41:17.975Z + card-last-reviewed:: 2022-10-20T08:41:17.975Z + card-last-score:: 5 + - Triggered when valid instructions perform invalid operations. + - e.g., dividing by zero. + - **Halt Instructions** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:56.173Z + card-last-reviewed:: 2022-10-03T11:37:56.174Z + card-last-score:: 5 + - Causes the processor to stop executions. + - e.g., at the end of the program. + - HALT +- +- ## Stack Architectures + - ### The Stack + - **Last In First Out (LIFO)** data structure. + - Consists of **locations**, each of which can hold a **word of data**. + - It can be used to explicitly **save / restore** data. + - What operations does the stack support? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:30:00.780Z + card-last-reviewed:: 2022-10-03T14:30:00.780Z + card-last-score:: 5 + - The stack supports ^^two operations.^^ + - **PUSH:** takes one argument and places the value of the argument at the top of the stack. + - **POP:** removes one element from the stack, saving it into a predefined register of the processor. + - The stack is ^^used implicitly by procedure call instructions.^^ + - (if available in the data set). + - When new data is added to the stack, it is placed at the top of the stack, and all of the contents of the stack are pushed down one location. + - ### Implementing Stacks + - What are the two ways to implement a stack? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-31T23:42:47.216Z + card-last-reviewed:: 2022-10-10T11:42:47.216Z + card-last-score:: 5 + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-12T15:29:51.594Z + card-last-reviewed:: 2022-10-08T15:29:51.595Z + card-last-score:: 3 + 1. **Dedicated Hardware Stack** #card + - Has a ^^hardware limitation^^ (limited number of locations). + - Very fast. + - card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:44:04.293Z + card-last-reviewed:: 2022-10-03T11:44:04.294Z + card-last-score:: 5 + 2. **Memory Implemented Stack** #card + - Limited by the ^^physical memory of the system.^^ + - Slow compared with hardware stacks, since extra memory addressing has to take place for each stack operation. + - ![image.png](../assets/image_1662989698764_0.png){:height 405, :width 638} + - Every **push operation** will ^^increment the top of the **stack pointer**^^ with the word size of the machine. + - Every **pop operation** will ^^decrement the top of the stack pointer^^ (with the word size of the machine). + - **Stack overflows** can occur in both stack implementations + - What is a **stack overflow**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-04T20:25:37.658Z + card-last-reviewed:: 2022-10-04T12:25:37.659Z + card-last-score:: 5 + - A **stack overflow** occurs when the amount of data in the stack exceeds the amount of space allocated to the stack (or the hardware limit of the stack). + - ### Instructions in Stack-Based Architecture #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-03T09:43:35.672Z + card-last-reviewed:: 2022-10-19T08:43:35.673Z + card-last-score:: 3 + - Instructions in a stack-base architecture get their operands from the stack and write their results to the stack. + - The advantage of this is that ^^program code takes little memory - there is no need to specify the address of the operands or registers.^^ + - PUSH is one exception, because it needs the operand to be specified (either as a constant or as an address). + - ### Programs in a Stack-Based Architecture + - Writing programs for stack-based architecture is not easy. + - Stack-based architectures are better suited for **postfix** notation rather than **infix** notation. + - What is **infix notation**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:45.628Z + card-last-reviewed:: 2022-10-03T11:42:45.628Z + card-last-score:: 5 + - **Infix notation** is the traditional way of representing mathematical expressions, with ^^operations placed **between** the operands.^^ + - e.g., a + b + - What is **postfix notation**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:39:50.328Z + card-last-reviewed:: 2022-10-03T11:39:50.328Z + card-last-score:: 5 + - In **postfix notation**, ^^the operation is placed **after** the operands.^^ + - e.g., a b + + - Stack-based architectures are better suited for **postfix notation**. + - Once an expression has been converted into postfix notation, implementing it in programs is easy. + - ### Using Stacks to Implement Procedure Calls + - Programs need a way to **pass inputs to the procedures** that they call and to receive outputs back from them. + - Procedures need to be able to **allocate space in memory for local variables** without overriding any data used by their calling program. + - It is impossible to determine which registers may be used safely by the procedure (especially if the procedure is located in a library). + - So, a mechanism to **save / restore registers** of the calling program has to be in place. + - Procedures need a way to figure out where they were called from. + - So, the execution can **return to the calling program** where the procedure completes (they need to restore the program counter). + - How are procedure calls implemented in Stacks? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-18T04:57:53.451Z + card-last-reviewed:: 2022-10-08T22:57:53.496Z + card-last-score:: 5 + - ![image.png](../assets/image_1662992719528_0.png) + - When a procedure is called,^^a block of memory in the stack called a **stack frame** is allocated.^^ + - The top of the **stack pointer** is incremented by the number of locations in the stack frame. + - When a procedure finishes, it jumps to the **return address** of the stack and the execution of the calling program resumes. + - How are nested procedure calls implemented in the stack? #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-11-08T08:24:29.547Z + card-last-reviewed:: 2022-10-20T08:24:29.548Z + card-last-score:: 5 + - ![image.png](../assets/image_1662992825434_0.png) + - main program calls function f(), + - function f() calls function g(), + - function g() calls function h() +- ## General-Purpose Register Architectures + - ### General-Purpose Register File + - In GPR Architectures, instructions read their operands and write their results to a **random access register file**. + - The general-purpose register file allows the ^^access of **any** register in **any** order^^ by specifying the number (register ID) of the register. + - What is the main difference between a GPR & a stack? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:43:13.452Z + card-last-reviewed:: 2022-10-03T11:43:13.452Z + card-last-score:: 3 + - The main difference between a GPR and a stack is that repeatedly reading a register will produce the same result and **will not** modify the state of the register file. + - Popping an item from a LIFO structure (stack) **will** modify the contents of the stack, + - Many GPR architectures assign special values to some registers in the register file to make programming easier. + - e.g., sometimes, register 0 is hardwired with value 0 to generate this most common constant. + - ### Instructions in GPR Architecture + - What do GPR instructions need to specify? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-10T20:30:05.069Z + card-last-reviewed:: 2022-10-20T08:30:05.069Z + card-last-score:: 3 + - GPR instructions need to specify: + - **the register** that holds their **input operands** + - the register that will hole the **result** + - What is the most common GPR instruction format? #card + card-last-interval:: 26.21 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-15T22:48:52.100Z + card-last-reviewed:: 2022-09-19T17:48:52.100Z + card-last-score:: 5 + - The most common GPR instruction format is the **three operands instruction format**. + - e.g., "ADD r1, r2, r3" instructs the processor to read the contents of r2 and r3, add them together, and write the results in r1. + - Instructions that only have one or two inputs are also present in GPR architecture. + - Which architecture allows **caching**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:11:50.487Z + card-last-reviewed:: 2022-09-30T12:11:50.488Z + card-last-score:: 5 + - In GPR Architecture, ^^programs can choose which values should be stored in the register file at any given time^^, allowing them to **cache** the most accessed data. + - In stack-based architectures, once the data has been used, it's gone. + - From this point of view, ^^GPR architectures have **better performance**^^, at the expense of needing **more storage space** for the program. + - larger instructions are needed to encode the addresses of the operands. + - #### Simple GPR Instruction Set + - ![image.png](../assets/image_1662991772859_0.png) + - + - ### Programs in a GPR Architecure #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-19T12:58:16.278Z + card-last-reviewed:: 2022-10-08T22:58:16.278Z + card-last-score:: 5 + - Programming a GPR architecture processor is **less structured** than programming a stack-based architecture processor. + - There are **fewer restrictions on the order** in which operations can be executed. + - In stack-based architectures, instructions must execute in the order that would leave the operands for the next instructions on the top of the stack. + - In GPR, any order that places the operands for the next instruction in the register file before the instruction executes is valid. + - Operations that access different registers can be **reordered** without making the program invalid. + - +- ## Stack-Bases vs GPR Architectures + - Stack-based architectures are still attractive for certain embedded systems. + - GPR architectures are used by modern computers. + - ## Stack-Based Architectures #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-19T12:59:04.549Z + card-last-reviewed:: 2022-10-08T22:59:04.550Z + card-last-score:: 5 + - Instructions take **fewer bits** to encode. + - **Reduced amount of memory** taken up by programs. + - Manages the **use of registers automatically** (no need for programmer intervention). + - The instruction set **does not change** if the size of the register file has changed. + - ## GPR Architectures + - With the evolution of technology, the amount of space taken up by a program is less important. + - Compilers for GPR architecture achieve **better performance** with a given number of general-purpose registers than those on stack-based architectures with the same number of registers. + - The compiler can choose which values to keep (**cache**) in the register file at any time. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-11-11T12_04_45.375Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-11-11T12_04_45.375Z.Desktop.md new file mode 100644 index 00000000..91f001ff --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Programming Models/2022-11-11T12_04_45.375Z.Desktop.md @@ -0,0 +1,401 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Overview of Computer Systems]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1662842733013_0.pdf) +- +- What is a **Processor Programming Model**? #card + card-last-interval:: 3.09 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T13:40:54.101Z + card-last-reviewed:: 2022-10-10T11:40:54.101Z + card-last-score:: 5 + - A **Processor Programming Model** defines ^^how instructions access their operands and how instructions are described in the processor's assembly language.^^ + - Processors with different programming models can offer similar sets of operations but may require very different approaches to programming. +- +- ## Instructions + - What is the **Instruction Cycle**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:30.873Z + card-last-reviewed:: 2022-10-03T11:42:30.874Z + card-last-score:: 5 + - The **Instruction Cycle** is the ^^procedure of processing an instruction^^ by the microprocessor. + - **Fetch:** read the instructions from memory + - **Decode:** Determine what is to be done + - **Execute:** Perform the operation + - Each of the functions fetch -> decode -> execute consist of a sequence of one or more operations inside the CPU (and interaction with the subsystems). + - ### Types of Instructions + - #### Data Transfer Instructions + - What are **Data Transfer Instructions**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:40:48.321Z + card-last-reviewed:: 2022-10-03T11:40:48.321Z + card-last-score:: 5 + - Operations that ^^move data^^ from one place to another. + - These instructions ^^don't modify^^ the data, they just copy it to the destination. + - What operations can data transfer instructions do? #card + card-last-interval:: 10.92 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T06:46:12.475Z + card-last-reviewed:: 2022-09-30T08:46:12.475Z + card-last-score:: 5 + - card-last-interval:: 11.56 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T21:26:36.529Z + card-last-reviewed:: 2022-09-30T08:26:36.529Z + card-last-score:: 5 + 1. **Load data** from memory into the microprocessor. #card + - These instructions copy data from memory into microprocessor registers (i.e., LD). + - card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:28:41.508Z + card-last-reviewed:: 2022-10-03T14:28:41.509Z + card-last-score:: 5 + 2. **Store data** from the microprocessor into the memory. #card + - Similar to load data, except that the data is copied in the opposite direction (i.e., ST). + - Data is saved from internal microprocessor registers into the memory + - card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:29:32.655Z + card-last-reviewed:: 2022-10-03T14:29:32.655Z + card-last-score:: 5 + 3. **Move data** within the microprocessor. + - These instructions move data from one microprocessor register to another (i.e., MOV) + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:44:07.730Z + card-last-reviewed:: 2022-09-19T17:44:07.731Z + card-last-score:: 5 + 4. **Input data** into the microprocessor. + - A microprocessor may need to input data from the outside world. + - These are the instructions that input data from the input device into the microprocessor. + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:47:33.165Z + card-last-reviewed:: 2022-09-19T17:47:33.165Z + card-last-score:: 5 + 5. **Output data** from the microprocessor. + - The microprocessor copies data from one of its internal registers to an output device. + - Example: the microprocessor may want to show the content of an internal register on a display (the key has been pressed) (i.e., IOWR). + - #### Data Operation Instructions #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:45:28.268Z + card-last-reviewed:: 2022-10-03T11:45:28.268Z + card-last-score:: 5 + - Instructions that *do* modify their data values. + - They typically perform some operation (e.g., +, -, *) using one or two data values (operands) and store the result. + - What operations can data operation instructions do? #card + card-last-interval:: 10.64 + card-repeats:: 3 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-10-30T23:33:48.626Z + card-last-reviewed:: 2022-10-20T08:33:48.627Z + card-last-score:: 3 + - **Arithmetic Instructions** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:44:56.702Z + card-last-reviewed:: 2022-10-03T11:44:56.702Z + card-last-score:: 5 + - add, subtract, multiply, or divide + - ADD, SUB, MUL, DIV + - Instructions that increment or decrement one from a value + - INC, DEC + - Floating point instructions that operate on floating point values + - FADD, FSUB, FMUL, FDIV + - **Logic Instructions** + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:43:49.421Z + card-last-reviewed:: 2022-10-03T11:43:49.421Z + card-last-score:: 5 + - AND, OR, XOR, NOT, etc. + - **Shift Instructions** + card-last-interval:: 10.92 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T06:45:44.876Z + card-last-reviewed:: 2022-09-30T08:45:44.877Z + card-last-score:: 5 + - SR, SL, RR, RL, etc. + - #### Program Control Instructions #card + card-last-interval:: 10.8 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T04:28:17.821Z + card-last-reviewed:: 2022-09-30T09:28:17.821Z + card-last-score:: 5 + - **Jump** or **branch** instructions are used to ^^go to another part of the program^^; Jumps can be **absolute** or **conditional**. + - e.g., if, then, else. + - Instructions that can generate **interrupts**. + - Software interrupts. + - **Jump & branch instructions** (conditional or unconditional) + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:27:30.317Z + card-last-reviewed:: 2022-10-03T14:27:30.317Z + card-last-score:: 5 + - **JZ:** Jump if the zero flag is set. + - **JNZ:** Jump if the zero flag is **not** set. + - **JMP:** Unconditional jump - flags are ignored. + - etc. + - **Comparison Instructions** #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:42:52.048Z + card-last-reviewed:: 2022-10-03T11:42:52.049Z + card-last-score:: 3 + - TEST: logical BITWISE AND + - **Calls & Returns** a / from a routine (conditional or unconditional) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:44:38.495Z + card-last-score:: 1 + - **Call:** call a subroutine at a certain line. + - **RET:** return from a subroutine. + - **IRET:** interrupt & return. + - **Software Interrupts** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:46.482Z + card-last-reviewed:: 2022-10-03T14:28:46.483Z + card-last-score:: 5 + - Generated by devices outside of a microprocessor (not part of the instruction set). + - INT + - **Exceptions & Traps** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-24T08:41:17.975Z + card-last-reviewed:: 2022-10-20T08:41:17.975Z + card-last-score:: 5 + - Triggered when valid instructions perform invalid operations. + - e.g., dividing by zero. + - **Halt Instructions** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:56.173Z + card-last-reviewed:: 2022-10-03T11:37:56.174Z + card-last-score:: 5 + - Causes the processor to stop executions. + - e.g., at the end of the program. + - HALT +- +- ## Stack Architectures + - ### The Stack + - **Last In First Out (LIFO)** data structure. + - Consists of **locations**, each of which can hold a **word of data**. + - It can be used to explicitly **save / restore** data. + - What operations does the stack support? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:30:00.780Z + card-last-reviewed:: 2022-10-03T14:30:00.780Z + card-last-score:: 5 + - The stack supports ^^two operations.^^ + - **PUSH:** takes one argument and places the value of the argument at the top of the stack. + - **POP:** removes one element from the stack, saving it into a predefined register of the processor. + - The stack is ^^used implicitly by procedure call instructions.^^ + - (if available in the data set). + - When new data is added to the stack, it is placed at the top of the stack, and all of the contents of the stack are pushed down one location. + - ### Implementing Stacks + - What are the two ways to implement a stack? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-20T22:45:42.001Z + card-last-reviewed:: 2022-11-09T12:45:42.002Z + card-last-score:: 3 + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-12T15:29:51.594Z + card-last-reviewed:: 2022-10-08T15:29:51.595Z + card-last-score:: 3 + 1. **Dedicated Hardware Stack** #card + - Has a ^^hardware limitation^^ (limited number of locations). + - Very fast. + - card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:44:04.293Z + card-last-reviewed:: 2022-10-03T11:44:04.294Z + card-last-score:: 5 + 2. **Memory Implemented Stack** #card + - Limited by the ^^physical memory of the system.^^ + - Slow compared with hardware stacks, since extra memory addressing has to take place for each stack operation. + - ![image.png](../assets/image_1662989698764_0.png){:height 405, :width 638} + - Every **push operation** will ^^increment the top of the **stack pointer**^^ with the word size of the machine. + - Every **pop operation** will ^^decrement the top of the stack pointer^^ (with the word size of the machine). + - **Stack overflows** can occur in both stack implementations + - What is a **stack overflow**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-04T20:25:37.658Z + card-last-reviewed:: 2022-10-04T12:25:37.659Z + card-last-score:: 5 + - A **stack overflow** occurs when the amount of data in the stack exceeds the amount of space allocated to the stack (or the hardware limit of the stack). + - ### Instructions in Stack-Based Architecture #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-03T09:43:35.672Z + card-last-reviewed:: 2022-10-19T08:43:35.673Z + card-last-score:: 3 + - Instructions in a stack-base architecture get their operands from the stack and write their results to the stack. + - The advantage of this is that ^^program code takes little memory - there is no need to specify the address of the operands or registers.^^ + - PUSH is one exception, because it needs the operand to be specified (either as a constant or as an address). + - ### Programs in a Stack-Based Architecture + - Writing programs for stack-based architecture is not easy. + - Stack-based architectures are better suited for **postfix** notation rather than **infix** notation. + - What is **infix notation**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:45.628Z + card-last-reviewed:: 2022-10-03T11:42:45.628Z + card-last-score:: 5 + - **Infix notation** is the traditional way of representing mathematical expressions, with ^^operations placed **between** the operands.^^ + - e.g., a + b + - What is **postfix notation**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:39:50.328Z + card-last-reviewed:: 2022-10-03T11:39:50.328Z + card-last-score:: 5 + - In **postfix notation**, ^^the operation is placed **after** the operands.^^ + - e.g., a b + + - Stack-based architectures are better suited for **postfix notation**. + - Once an expression has been converted into postfix notation, implementing it in programs is easy. + - ### Using Stacks to Implement Procedure Calls + - Programs need a way to **pass inputs to the procedures** that they call and to receive outputs back from them. + - Procedures need to be able to **allocate space in memory for local variables** without overriding any data used by their calling program. + - It is impossible to determine which registers may be used safely by the procedure (especially if the procedure is located in a library). + - So, a mechanism to **save / restore registers** of the calling program has to be in place. + - Procedures need a way to figure out where they were called from. + - So, the execution can **return to the calling program** where the procedure completes (they need to restore the program counter). + - How are procedure calls implemented in Stacks? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-18T04:57:53.451Z + card-last-reviewed:: 2022-10-08T22:57:53.496Z + card-last-score:: 5 + - ![image.png](../assets/image_1662992719528_0.png) + - When a procedure is called,^^a block of memory in the stack called a **stack frame** is allocated.^^ + - The top of the **stack pointer** is incremented by the number of locations in the stack frame. + - When a procedure finishes, it jumps to the **return address** of the stack and the execution of the calling program resumes. + - How are nested procedure calls implemented in the stack? #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-11-08T08:24:29.547Z + card-last-reviewed:: 2022-10-20T08:24:29.548Z + card-last-score:: 5 + - ![image.png](../assets/image_1662992825434_0.png) + - main program calls function f(), + - function f() calls function g(), + - function g() calls function h() +- ## General-Purpose Register Architectures + - ### General-Purpose Register File + - In GPR Architectures, instructions read their operands and write their results to a **random access register file**. + - The general-purpose register file allows the ^^access of **any** register in **any** order^^ by specifying the number (register ID) of the register. + - What is the main difference between a GPR & a stack? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T17:43:13.452Z + card-last-reviewed:: 2022-10-03T11:43:13.452Z + card-last-score:: 3 + - The main difference between a GPR and a stack is that repeatedly reading a register will produce the same result and **will not** modify the state of the register file. + - Popping an item from a LIFO structure (stack) **will** modify the contents of the stack, + - Many GPR architectures assign special values to some registers in the register file to make programming easier. + - e.g., sometimes, register 0 is hardwired with value 0 to generate this most common constant. + - ### Instructions in GPR Architecture + - What do GPR instructions need to specify? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-10T20:30:05.069Z + card-last-reviewed:: 2022-10-20T08:30:05.069Z + card-last-score:: 3 + - GPR instructions need to specify: + - **the register** that holds their **input operands** + - the register that will hole the **result** + - What is the most common GPR instruction format? #card + card-last-interval:: 26.21 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-15T22:48:52.100Z + card-last-reviewed:: 2022-09-19T17:48:52.100Z + card-last-score:: 5 + - The most common GPR instruction format is the **three operands instruction format**. + - e.g., "ADD r1, r2, r3" instructs the processor to read the contents of r2 and r3, add them together, and write the results in r1. + - Instructions that only have one or two inputs are also present in GPR architecture. + - Which architecture allows **caching**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:11:50.487Z + card-last-reviewed:: 2022-09-30T12:11:50.488Z + card-last-score:: 5 + - In GPR Architecture, ^^programs can choose which values should be stored in the register file at any given time^^, allowing them to **cache** the most accessed data. + - In stack-based architectures, once the data has been used, it's gone. + - From this point of view, ^^GPR architectures have **better performance**^^, at the expense of needing **more storage space** for the program. + - larger instructions are needed to encode the addresses of the operands. + - #### Simple GPR Instruction Set + - ![image.png](../assets/image_1662991772859_0.png) + - + - ### Programs in a GPR Architecure #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-19T12:58:16.278Z + card-last-reviewed:: 2022-10-08T22:58:16.278Z + card-last-score:: 5 + - Programming a GPR architecture processor is **less structured** than programming a stack-based architecture processor. + - There are **fewer restrictions on the order** in which operations can be executed. + - In stack-based architectures, instructions must execute in the order that would leave the operands for the next instructions on the top of the stack. + - In GPR, any order that places the operands for the next instruction in the register file before the instruction executes is valid. + - Operations that access different registers can be **reordered** without making the program invalid. + - +- ## Stack-Bases vs GPR Architectures + - Stack-based architectures are still attractive for certain embedded systems. + - GPR architectures are used by modern computers. + - ## Stack-Based Architectures #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-19T12:59:04.549Z + card-last-reviewed:: 2022-10-08T22:59:04.550Z + card-last-score:: 5 + - Instructions take **fewer bits** to encode. + - **Reduced amount of memory** taken up by programs. + - Manages the **use of registers automatically** (no need for programmer intervention). + - The instruction set **does not change** if the size of the register file has changed. + - ## GPR Architectures + - With the evolution of technology, the amount of space taken up by a program is less important. + - Compilers for GPR architecture achieve **better performance** with a given number of general-purpose registers than those on stack-based architectures with the same number of registers. + - The compiler can choose which values to keep (**cache**) in the register file at any time. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Query Processing & Optimisation/2022-11-09T13_03_58.139Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Query Processing & Optimisation/2022-11-09T13_03_58.139Z.Desktop.md new file mode 100644 index 00000000..9751c541 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Query Processing & Optimisation/2022-11-09T13_03_58.139Z.Desktop.md @@ -0,0 +1,136 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Query Processing: Relational Algebra]] +- **Next Topic:** +- **Relevant Slides:** ![queryProcessing and Optimisation.pdf](../assets/queryProcessing_and_Optimisation_1667916524592_0.pdf) +- +- # Trees + - What is a **tree**? #card + - A **tree** is a collection of data arranged as a finite set of elements called **nodes**, such that the tree is empty or the tree contains a distinguished node, called the **root node**, and all other nodes are arranged in subtrees such that each node has a parent node. + - Nodes typically contain *data* and some pointers to other nodes. + - Nodes may be: #card + - **Root:** No node points to it. + - **Inner:** Has parent & child nodes. + - **Leaves:** Has no child nodes. + - What is a **binary tree**? #card + - Tree data structures (a grouping of data) are used frequently in computing allowing data to be stored in a non-linear (non-list) way. + - They are often called **binary trees** where each node can have at most two child nodes. + - ## SQL -> Relational Algebra + - How to translate SQL to Relational Algebra? #card + - `SELECT` *attributes* corresponds to $\pi$. + - `JOIN`s correspond to relational algebra **joins** $\Join$ with ==any join conditions specified as part of the join.== + - Any condition in a `WHERE` clause corresponds to a **sigma** $\sigma$ relational algebra operator with associated conditions. + - In addition, we have rules for aggregate functions (`SUM`, `AVG`, `COUNT`, etc.), `GROUP BY` & `HAVING`, and subqueries. + - ## Query Tree + - What is a **query tree**? #card + - A **query tree** is a binary tree that corresponds to a relational algebra expression where: + - (**Input**) Tables are the leaf nodes. + - Relational algebra operators are at internal nodes. + - (**Output / Result**) The root of the tree returns the result (often with one final relational algebra operator). + - The sequence of operations is directed from ^^leaves to root^^ and from ^^left to right^^. + - i.e., the bottom-most, left-most side of the tree is executed first. + - ### Materialisation Evaluation #card + - One approach to executing a query represented by a query tree is **Materialisation Evaluation**. + - Traverse the tree from bottom to top, left to right. At each stage: + - 1. Execute internal node operation whenever data for its child nodes are available. + 2. Replace the internal node operation (and all child nodes) by the table resulting from executing the operation. + - **Note:** The results of operations are saved as temporary tables and are used as inputs to other operators. + - ### How to Draw a Query Tree #card + - We must remember the order of execution - from bottom to top, completing each level, and then left to right. Therefore: + - The first operations - **fetching tables** - should be at the leaves of the tree. + - The last operator - often $\pi$ or aggregate functions - should be at the root of the tree. + - Joins must be applied to tables (two at a time) and should be at internal nodes. + - Any other operators should be at one or more internal nodes. + - **Important:** When joining or multiplying more than two tables, operators can only be applied to two operands at a time. + - ![image.png](../assets/image_1667917791219_0.png) + - ### Annotating Tree + - Each relational algebra operation can be evaluated using one of several different algorithms and Seach relational algebra expression can be evaluated in many ways. + - What is an **evaluation plan**? #card + - An **evaluation plan** is an annotated expression / query tree specifying the execution strategy for a query. + - ### Issues to Consider with Query Trees #card + - Size of temporary tables. + - Algorithms used for execution plan. +- # Optimisation + - Different query trees for a given query can have different *costs*. + - Different evaluation plans for a given query can have different costs. + - **Optimisation techniques** attempt to choose the best among a number of potential query trees. + - ## Cost Estimates + - How to calculate cost estimates? #card + - Cost factors include CPU speed, disk access time, network communication time, etc. + - Disk access is typically the predominant cost and can be measured by the number of blocks read / number of blocks written per query. + - What is the main cost estimate used? #card + - The main cost estimate used is the number of block transfers where each block contains a number of records. + - The number of blocks transferred from disk depends on: + - The size of the buffer in main memory - having more memory reduces the need for more disk accesses. + - Indexing structures used (primary, secondary, etc.). + - Whether or not all blocks of a file must be transferred. + - e.g., if a search can be done on the primary key of the index file or on the secondary index, then only retrieve blocks that satisfy the search condition. + - As in typical in Computing, often we use **worst case estimates**, knowing that any *actual* cost cannot exceed a worst case estimate. + - #### DBMS Catalog #card + - The **DBMS Catalog** stores statistical information about each table such as table sizes, indexes & their depths, etc. + - The statistical information on the tables & attributes used in a query can be found in the DBMS catalog and these are used to calculate estimates also. + - In the DBMS catalog, for each table $R$, information is stored on: + - The number of tuples / records in $R$. + - The number of blocks containing tuples of table $R$. + - The size of a record in bytes. + - The blocking factor. + - Information on the number of distinct values per attribute and the number of values that would satisfy a set of equality operations on that attribute (by having averages, min, max, etc.). + - Information on indices (index type, index field values, etc.). + - ## Optimisation Approach 1: Compare Cost Estimates Across Different Solutions #card + - Cost is usually measured as the **total elapsed time** for answering a query. + - One approach to optimisation is to calculate cost estimates for each possible query tree. + - The query tree with the lowest **cost estimate** should then be chosen. + - ### Steps + - 1. Generate query trees & evaluation plans (maybe not all). + 2. For each query tree, get cost estimates using the DBMS catalog. + - This results in a set of cost estimates such that the best can be chosen and the query tree with the lowest cost estimate can then be picked as the single best query tree & evaluation plan. + - Therefore, to choose among plans, the optimiser has to estimate the cost of each evaluation plan. + - There are two aspects to this. For each node of the tree, estimate the cost of performing associated operation, and estimate the size of the result and if it is sorted. + - ### Summary + - While cost-based optimisation is good, it is expensive. + - As query complexity increases, so does the number of different query trees & plans possible, and each query tree requires its own cost estimates. + - **NB:** It is important that the amount of time an optimiser spends on calculating the best solution is not longer than the amount of time which would elapse if executing a solution picked at random. + - ## Optimisation Approach 2: Heuristic Optimisation #card + - Optimisers often use **heuristics** to reduce the number of choices that must be made in a cost-based fashion. + - Heuristic Optimisation transforms the query tree by ==using a set of rules that typically (but not always) improve execution performance.== + - Some cost-based estimation is also performed as part of the heuristic optimisation and to choose between a reduced set of trees and/or evaluation plans. + - ### Steps + - 1. Create a **canonical query tree**. + 2. Apply a **set of heuristics** to the tree to create a more efficient query tree. + 3. If appropriate, create cost estimates of this query tree to ensure the best evaluation plan. + - ### Canonical Query Trees + - What is a **canonical query tree**? #card + - A **canonical query tree** is an *inefficient* query tree representing relational algebra expressions which can be created **directly** from the SQL solution following a sequence of quick & easy steps. + - A canonical query tree: + - Uses **Cartesian Product** instead of **Joins**. + - Keeps all conditions ($\sigma$) together in one internal node. + - $\pi$ become the root node. + - #### Steps to create a Canonical Query Tree with `SELECT`/`WHERE`/`FROM` clauses and no sub-queries: + - 1. All relations in the `FROM` clause become leaves of the tree. + - They should be combined with a **Cartesian Product** ($\times$) of the relations. + - **Note:** Only two relations can be involved in a Cartesian Product at a time (binary tree). + - 2. All conditions in the `WHERE` clause and any `JOIN` conditions in `WHERE` or `FROM` clauses become a sequence of relational algebra in **one** inner node of the tree (with inputs from the previous step). + 3. All conditions from the `SELECT` clause become a relational algebra expression in the root node. + - Heuristic Optimisation **must** transform this canonical query tree into a final query tree that is efficient to execute. + - In general, heuristic optimisation tries to ==apply the most restrictive operators as early as possible== in the tree and to ==reduce the size of the temporary tables / results== created that move "up" the tree. + - Heuristic Optimisation must include rules for equivalence among relational algebra expressions that can be applied to the initial tree. + - ### Heuristic Optimisation Algorithm #card + - **Input:** A canonical query tree. + - **Process:** + - 1. Decompose any $\sigma$ with AND conditions into an individual $\sigma$. + 2. Move each $\sigma$ operator as far down the query tree as possible, thus eliminating unwanted tuples. + - Heuristic 1 tries to reduce the size of the tables to be combined as much as possible. + - Therefore, if a selection operator ($\sigma$) occurs *after* a Cartesian product or a join, check to see if it could occur *before* these operations. + - 3. Rearrange the leaf nodes so that the most restrictive $\sigma$ can be applied first (using information from the DBMS catalog) and so that future JOINS are possible. + - **Note:** "Most restrictive" means those operators that result in relations with the fewest tuples or with the smallest absolute size. + - These operations should happen first, i.e., on the left-hand side of the lowest level of the tree. + - If we don't have any information from the DBMS catalog, we might leave nodes as they are, use the database schema (# of columns) to make a good estimate, or use sample data (# of rows) & database schema (# of columns) to make a good estimate. + - 4. Combine Cartesian Product operators with $\sigma$ to form JOIN operators where appropriate (replacing all $\times$). + - Must first ensure that the leaf nodes are ordered such that this can occur. If not, re-order the leaf nodes and ensure to keep any select operators with the appropriate leaf node. + - 5. Decompose $\pi$ and move each $\pi$ as far down the tree as possible, possibly creating new $\pi$ operators in the process to eliminate unwanted columns. + - This heuristic ensure that the size of the tables to be joined are as small as possible. + - Therefore, for each $\pi$ check if that $\pi$ can be carried out before the join. For each table, check if additional $\pi$s can be introduced (these may not be stated explicitly in the query). + - **Note:** Must ensure that all needed columns further up the tree are retained (even if they are not immediately necessary). + - 6. Identify subtrees that represent groups of operations that can be executed by a single algorithm. + 7. Add an evaluation plan. + - **Output:** An efficient query tree. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Query Processing%3A Relational Algebra/2022-11-10T07_51_40.543Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Query Processing%3A Relational Algebra/2022-11-10T07_51_40.543Z.Desktop.md new file mode 100644 index 00000000..a82e4616 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Query Processing%3A Relational Algebra/2022-11-10T07_51_40.543Z.Desktop.md @@ -0,0 +1,141 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Normalisation]] +- **Next Topic:** [[Query Processing & Optimisation]] +- **Relevant Slides:** ![queryProcRelAlgebra.pdf](../assets/queryProcRelAlgebra_1667899219134_0.pdf) +- +- # Query Processing + - What is **Query Processing**? #card + - **Query Processing** transforms SQL (a high-level language) into a correct & efficient low-level language representation of **relational algebra**. + - Each relational algebra operator has code associated with it, which, when run, performs the operation on the data specified, allowing the specified data to be output as the result. + - ## Steps Involved in Processing an SQL Query #card + - 1. Process (Parse & Translate) the query and create an internal representation of the query. + - This may be an Operator Tree, Query Tree, or Query Graph (for more complicated queries). + - 2. Optimise. + 3. Execute / Evaluate returning results. + - What do you need to translate SQL to Relational Algebra? #card + - To translate SQL to Relational Algebra, you must have a meaningful set of relational algebra operators, and a mapping (translation) between SQL code & relational algebra expressions. +- # Relational Algebra + - Two formal languages exist for the relational model: + - **Relational Algebra** (procedural). + - **Relational Calculus** (non-procedural). + - Both are logically equivalent. + - ## Relational Algebra Operations + - A basic set of operations exist for the relational model. + - These allow for the specification of basic retrieval requests. + - A sequence of Relational Algebra (RA) operations forms a **relational algebra expression**. + - RA operations are divided into two groups: + - Operations based on **mathematical set theory** (e.g., union, product, etc.). + - Specific relational database operations. + - ## Relational Algebra vs SQL #card + - The core operations & functions (i.e., programs) in the internal modules of most relational database systems are based on **relational algebra**. + - SQL is a **declarative language** - It allows you to specify the results that you require, not the order of the operations to retrieve these results. + - Relational Algebra is **procedural** - We must specify exactly *how* to retrieve results when using relational algebra. + - ## Relational Algebra Expressions + - A valid relational algebra expression is built by connecting tables or expressions with defined **unary & binary operators** & their arguments (if applicable). + - Temporary relations resulting from a relational algebra expression can be used as input to a new relational algebra expression. + - Expressions in brackets are evaluated first. + - Relational Algebra operators are either **unary** or **binary**. + - ## Working With the [RelaX Calculator](: https://dbis-uibk.github.io/relax/calc/local/uibk/local/0) + - There is no standard language for relational algebra like there is for SQL. + - One University group have developed a calculator that supports a *fairly* command standard. + - Note that it is Case Sensitive. + - The RelaX calculator provides a number of datasets with the option of also using your own dataset. + - ### Loading a Dataset + - 1. Go to the "Group Editor" tab. + 2. Copy text from the file on Blackboard and add. + 3. Then choose "Preview". + 4. Then choose "Use group in Editor". + - **Note:** Only stored temporarily. + - ### Note on Degrees + - The **degree** of the relation resulting from a selection of a table $R$ is the same as the degree of $R$, i.e., they have the same number of attributes (columns). + - The operation is **commutative** - i.e., a sequence of selects can be applied in any order. + - E.g.: + - $$\sigma_{\text{hours < 20 and pno = 10}}\text{works\_on}$$ + - $$\sigma_{\text{pno = 10 and hours < 20}}\text{works\_on}$$ +- # Relational Algebra: Unary Operators + - Each operation takes one relation or expression as input and gives a new relation as a result. + - ## Selection Operator ($\sigma$) #card + - Used to **select** certain tuples (rows) from a relation $R$. + - **Notation:** $\sigma_pR$, where $p$ is the **selection predicate** (i.e., a *condidtion*) and $R$ is a relation / table name. + - **Note:** The Selection ($\sigma$) operator in relational algebra is **not** the same as the `SELECT` clause in an SQL query. + - An SQL `SELECT` query could be equivalent to a combination of relational algebra operators, ($\sigma$, $\pi$, or `JOIN`). + - ### Example (Using Company Schema) + - Find the projects with pno = 10 and hours worked < 20. + background-color:: green + - $$\sigma_{\text{hours < 20 AND pno = 10}}\text{works\_on}$$ + - Returns the set: + - {(333445555, 10, 10.0 ), (999887777, 10, 10.0)} + - ## Projection Operator ($\pi$) #card + - Used to return certain attributes / columns. + - **Notation:** + - $$\pi_{A_1, A_2, \cdots, A_k}(R)$$ + - Where $A_1, \cdots, A_k$ are attribute names, $R$ is a relation name. + - The result is a relation with the $k$ attributes listed in the same order as they appear in the list. + - Duplicate tuples are removed from the result. + - **Note:** Commutativity does *not* hold. + - ### Example (Using Company Schema) + - List all the department numbers where employees work. + background-color:: green + - $$\pi_\text{dno}\text{employee}$$ + - Returns: {5,4,1}. + - ## Rename Operators ($\rho$ & $\leftarrow$) #card + - Rename Operation ($\rho$). + - **Notation:** $\rho_x(E)$, where the result of the expression $E$ is saved with the name $x$. + - ## Order Operator ($\tau$) #card + - Used to **order** by certain columns from a relation $R$. + - **Notation:** $\tau_{A_1, A_2, \cdots, A_k}R$ where $A_1, A_2, \cdots, A_k$ are attributes with either ASC or DESC. + - ## Group By Operator ($\gamma$) + - Used to **group** by certain columns from a relation $R$. + - ## Aggregate Functions Supported by RelaX + - (Not part of Relation Algebra), + - `COUNT(*)`. + - `COUNT(column)`. + - `MIN(column)`. + - `MAX(column)`. + - `SUM(column)`. + - `AVG(column)`. +- # Binary Operators + - General syntax: `(child_expression) function argument (child_argument)`. + - ## Union Operator ($\cup$) #card + - **Notation:** $(R) \cup (S)$, where $R$ & $S$ are relations. + - Returns all tuples from $R$ & all tuples from $S$. + - **Note:** No duplicates will be returned. + - ## Intersection Operator ($\cap$) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:37:06.082Z + card-last-score:: 1 + - **Notation:** $(R) \cap (S)$, where $R$ & $S$ are relations. + - Returns all tuples from $R that are also in $S$. + - ## Set Difference ($-$) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-10T00:00:00.000Z + card-last-reviewed:: 2022-11-09T12:42:11.446Z + card-last-score:: 1 + - **Notation:** $(R) - (S)$ where $R$ & $S$ are relations. + - Returns tuples that are in relation $R$ but not in $S$. + - **Note:** $(R) - (S)$ and $(S) - (R)$ are not the same. + - ## Union Compatibility + - What is **Union Compatibility**? #card + - For union, intersection, & minus, relations must be **union compatible**. + - That is, schemas of relations must match, i.e., have the same number of attributes and each corresponding attributes have the same domain. + - ## Cartesian Product Operator ($\times$) (Cross-Join) #card + id:: 636a860b-5170-4227-befa-68876a53c856 + - **Notation:** $(R) \times (S)$ where $R$ & $S$ are relations / tables. + - **Returns:** Tuples comprising the concatenation (combination) of *every tuple* in $R$ with *every tuple* in $S$. + - **Note:** No condition specified. + - ### Cartesian Product vs Join #card + - The main difference between a Cartesian product operator and a Join operator is that, with a Join, only tuples **satisfying a condition** appear in the result, while in a Cartesian product operator, all combinations of tuples are included in the result. + - ## Join Operator ($\Join$) #card + - The **Join Operator** is a *hybrid* operator - it is a combination of the **Cartesian Product** operator ($\times$) & a **Select** operator ($\sigma$). + - Tables are joined together based on the **condition** specified. + - ## Equi & Theta Joins #card + - **Notation:** $(R_1) \Join p (R_2)$ where $p$ is the **join condition** and $R_1$ & $R_2$ are relations. + - **Result:** The `JOIN` operation returns all combinations of tuples from relation $R_1$ & relation $R_2$ satisfying the join condition $p$. + - **Note:** EQUI JOINS use only equality comparisons (`=`) in the join condition $p$. +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Random Variables/2022-10-07T08_33_33.380Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Random Variables/2022-10-07T08_33_33.380Z.Desktop.md new file mode 100644 index 00000000..59e3e9ed --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Random Variables/2022-10-07T08_33_33.380Z.Desktop.md @@ -0,0 +1,70 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Probability]] +- **Next Topic:** +- **Relevant Slides:** ![Topic 5 - Random Variables.pdf](../assets/Topic_5_-_Random_Variables_1665050186799_0.pdf) +- +- # Random Variables + - What is a **random variable** #card + - A **random variable** is a function that associates a real number with each element in the sample space. + - The probability distribution of a random variable $X$ gives the probability for each value of $X$. + - A random variable takes a **numeric** value based on the outcome of a random event. + - Random variables are denoted by a capital letter - $X$, $Y$, $Z$, etc. + - A particular value of a random variable will be denoted with a lower case letter - $x$, $y$, $z$, etc. + - What are the two types of random variables? #card + - There are two types of random variables: + - **Discrete** random variables can take one of a finite number of distinct outcomes. + - **Continuous** random variables can take any numeric value within a range of values. + - +- +- # Probability Distributions + - ## Discrete Probability Distributions + collapsed:: true + - What is the **probability distribution** of some discrete random variable $X$? #card + - The set of ordered pairs $(x, f(x))$ is a **probability function**, **probability mass function** (pmf), or **probability distribution** of the discrete random variable $X$ if, for each possible outcome $x$: + - 1. $f(x) \geq 0$, + - 2. $\displaystyle \sum_n f(x) = 1$, + - 3. $P(X = x) = f(x)$. + - What is the **cumulative distribution function** of a discrete random variable $X$? #card + - The **cumulative distribution function** is the probability that a random variable $X$ with a given probability distribution will be found at a value less than or equal to $x$. + - The **cumulative distribution function** $F(x)$ of a discrete random variable $X$ with probability distribution $f(x) is: + - $$F(x) = P(X \leq x) = \sum_{t \leq x} f(t), \text{ for } - \infty < x < \infty$$ + - ## Continuous Probability Distributions + - What is the **probability distribution function** for a continuous random variable? #card + - The function $f(x)$ is a **probability distribution function** (pdf) for a continuous random variable $X$, defined over a set of real numbers, if: + - 1. $f(x) \geq 0, \text{ for all } x \in R$, + - 2. $\int^{\infty}_{- \infty} f(x) dx = 1$, + - 3. $P(a < X < b) = \int^{b}_{a} f(x)dx$. + - **Note:** $P(X = x) = 0$, i.e., there is no area exactly at $x$. + - +- +- # Expected Value - Location + - What is **expected value** for a **discrete** random variable? #card + - A useful summary of interest is the average, or **expected value** of a random variable. + - The **expected value** is denoted by $E[X]$ & $\mu$. + - The expected value of a **discrete** random variable can be found by summing the products of each possible value multiplied by the probability that it occurs: + - $$\mu = E[X] = \sum_x xP(X = x)$$ + - What is the **expected value** for a **continuous** random variable? #card + - A useful summary of interest is the average, or **expected value** of a random variable. + - The **expected value** is denoted by $E[X]$ & $\mu$. + - The **expected value** of a **continuous** random variable can be found by: + - $$\mu = E(X) = \int_x xf(x)dx$$ +- # Variance, Standard Deviation - Spread + - What is the **variance** & hence the **standard deviation** of a discrete random variable? #card + - The **variance** of a **discrete** random variable measures the squared deviation from the mean: + - $$\sigma^2 = \text{Var}(X) = E[(X - \mu)^2] = \sum_x (x - \mu)^2 P(X =x)$$ + - Alternatively, variance can be calculated by: + - $$\text{Var}(X) = E(X^2) - E^2(X)$$ + - Where + - $$E(X^2) = \sum x^2P(X = x)$$ + - Or, more usefully, the **standard deviation** is: + - $$\sigma = \text{sd}(X) = \sqrt{\text{Var}(X)}$$ + - The standard deviation has the advantage of being in the same units as $X$ (& $\mu$). + - What is the **variance** of a **continuous** random variable? #card + - The **variance** of a **continuous** random variable is: + - $$\text{var}(X) = \int_x (x - \mu)^2 f(x)dx$$ +- # Means & Variances + - Adding or subtracting a constant from data shifts the mean, but does not change the variance or the standard deviation. + - $$E[X +c] = E[X] +c, \ \ \text{Var}(X+c) = \text{Var}(X), \ \ \text{sd}(X + c) = sd(X)$$ + - $$E[X -c] = E[X] -c,\ \ \text{Var}(X -c) = \text{Var}(X), \ \ \text{sd}(X - c) = \text{sd}(X)$$ + - Multiplying a random variable by a constant multiplies the mean by that constant, and the variance by the *square* of that constant. + - $$E[aX] = aE[X], \ \ \text{Var}(aX) = a^2 \text{Var}(X), \ \ \text{sd}(aX) = |a|\text{sd}(X)$$ \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Random Variables/2022-10-10T11_59_52.469Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Random Variables/2022-10-10T11_59_52.469Z.Desktop.md new file mode 100644 index 00000000..e336f475 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Random Variables/2022-10-10T11_59_52.469Z.Desktop.md @@ -0,0 +1,123 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Probability]] +- **Next Topic:** +- **Relevant Slides:** ![Topic 5 - Random Variables.pdf](../assets/Topic_5_-_Random_Variables_1665050186799_0.pdf) +- +- # Random Variables + - What is a **random variable**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T17:17:27.762Z + card-last-reviewed:: 2022-10-06T17:17:27.763Z + card-last-score:: 3 + - A **random variable** is a function that associates a real number with each element in the sample space. + - The probability distribution of a random variable $X$ gives the probability for each value of $X$. + - A random variable takes a **numeric** value based on the outcome of a random event. + - Random variables are denoted by a capital letter - $X$, $Y$, $Z$, etc. + - A particular value of a random variable will be denoted with a lower case letter - $x$, $y$, $z$, etc. + - What are the two types of random variables? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T17:12:47.990Z + card-last-reviewed:: 2022-10-06T17:12:47.990Z + card-last-score:: 5 + - There are two types of random variables: + - **Discrete** random variables can take one of a finite number of distinct outcomes. + - **Continuous** random variables can take any numeric value within a range of values. + - +- +- # Probability Distributions + - ## Discrete Probability Distributions + collapsed:: true + - What is the **probability distribution** of some discrete random variable $X$? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:28:47.119Z + card-last-score:: 1 + - The set of ordered pairs $(x, f(x))$ is a **probability function**, **probability mass function** (pmf), or **probability distribution** of the discrete random variable $X$ if, for each possible outcome $x$: + - 1. $f(x) \geq 0$, + - 2. $\displaystyle \sum_n f(x) = 1$, + - 3. $P(X = x) = f(x)$. + - What is the **cumulative distribution function** of a discrete random variable $X$? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:48:20.110Z + card-last-score:: 1 + - The **cumulative distribution function** is the probability that a random variable $X$ with a given probability distribution will be ^^found at a value less than or equal to^^ $x$. + - The **cumulative distribution function** $F(x)$ of a discrete random variable $X$ with probability distribution $f(x)$ is: + - $$F(x) = P(X \leq x) = \sum_{t \leq x} f(t), \text{ for } - \infty < x < \infty$$ + - ## Continuous Probability Distributions + - What is the **probability distribution function** for a continuous random variable? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:01:46.930Z + card-last-score:: 1 + - The function $f(x)$ is a **probability distribution function** (pdf) for a continuous random variable $X$, defined over a set of real numbers, if: + - 1. $f(x) \geq 0, \text{ for all } x \in R$, + - 2. $\int^{\infty}_{- \infty} f(x) dx = 1$, + - 3. $P(a < X < b) = \int^{b}_{a} f(x)dx$. + - **Note:** $P(X = x) = 0$, i.e., there is no area exactly at $x$. + - +- +- # Expected Value - Location + - What is **expected value** for a **discrete** random variable? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:29:15.248Z + card-last-score:: 1 + - The average, or **expected value** of a random variable is denoted by $E[X]$ & $\mu$. + - It can be found by summing the products of each possible value multiplied by the probability that it occurs: + - $$\mu = E[X] = \sum_x xP(X = x)$$ + - What is the **expected value** for a **continuous** random variable? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:16:06.768Z + card-last-score:: 1 + - A useful summary of interest is the average, or **expected value** of a random variable. + - The **expected value** is denoted by $E[X]$ & $\mu$. + - The **expected value** of a ***continuous*** random variable can be found by: + - $$\mu = E(X) = \int_{-\infty}^{\infty} xf(x)dx$$ +- # Variance, Standard Deviation - Spread + - What is the **variance** & hence the **standard deviation** of a discrete random variable? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T14:56:57.367Z + card-last-score:: 1 + - The **variance** of a **discrete** random variable measures the squared deviation from the mean: + - $$\sigma^2 = \text{Var}(X) = E[(X - \mu)^2] = \sum_x (x - \mu)^2 P(X =x)$$ + - Alternatively, variance can be calculated by: + - $$\text{Var}(X) = E(X^2) - E^2(X)$$ + - Where + - $$E(X^2) = \sum x^2P(X = x)$$ + - Or, more usefully, the **standard deviation** is: + - $$\sigma = \text{sd}(X) = \sqrt{\text{Var}(X)}$$ + - The standard deviation has the advantage of being in the same units as $X$ (& $\mu$). + - What is the **variance** of a ***continuous*** random variable? #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-08T14:57:59.229Z + - The **variance** of a **continuous** random variable is: + - $$\text{var}(X) = \int_x (x - \mu)^2 f(x)dx$$ +- # Means & Variances + - Adding or subtracting a constant from data shifts the mean, but does not change the variance or the standard deviation. + - $$E[X +c] = E[X] +c, \ \ \text{Var}(X+c) = \text{Var}(X), \ \ \text{sd}(X + c) = sd(X)$$ + - $$E[X -c] = E[X] -c,\ \ \text{Var}(X -c) = \text{Var}(X), \ \ \text{sd}(X - c) = \text{sd}(X)$$ + - Multiplying a random variable by a constant multiplies the mean by that constant, and the variance by the *square* of that constant. + - $$E[aX] = aE[X], \ \ \text{Var}(aX) = a^2 \text{Var}(X), \ \ \text{sd}(aX) = |a|\text{sd}(X)$$ \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Random Variables/2022-10-20T09_05_57.994Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Random Variables/2022-10-20T09_05_57.994Z.Desktop.md new file mode 100644 index 00000000..5e5e8510 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Random Variables/2022-10-20T09_05_57.994Z.Desktop.md @@ -0,0 +1,123 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Probability]] +- **Next Topic:** [[Discrete Probability Distributions: Binomial & Poisson]] +- **Relevant Slides:** ![Topic 5 - Random Variables.pdf](../assets/Topic_5_-_Random_Variables_1665050186799_0.pdf) +- +- # Random Variables + - What is a **random variable**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T17:17:27.762Z + card-last-reviewed:: 2022-10-06T17:17:27.763Z + card-last-score:: 3 + - A **random variable** is a function that associates a real number with each element in the sample space. + - The probability distribution of a random variable $X$ gives the probability for each value of $X$. + - A random variable takes a **numeric** value based on the outcome of a random event. + - Random variables are denoted by a capital letter - $X$, $Y$, $Z$, etc. + - A particular value of a random variable will be denoted with a lower case letter - $x$, $y$, $z$, etc. + - What are the two types of random variables? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T17:12:47.990Z + card-last-reviewed:: 2022-10-06T17:12:47.990Z + card-last-score:: 5 + - There are two types of random variables: + - **Discrete** random variables can take one of a finite number of distinct outcomes. + - **Continuous** random variables can take any numeric value within a range of values. + - +- +- # Probability Distributions + - ## Discrete Probability Distributions + collapsed:: true + - What is the **probability distribution** of some discrete random variable $X$? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:38:24.612Z + card-last-score:: 1 + - The set of ordered pairs $(x, f(x))$ is a **probability function**, **probability mass function** (pmf), or **probability distribution** of the discrete random variable $X$ if, for each possible outcome $x$: + - 1. $f(x) \geq 0$, + - 2. $\displaystyle \sum_n f(x) = 1$, + - 3. $P(X = x) = f(x)$. + - What is the **cumulative distribution function** of a discrete random variable $X$? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:42:14.103Z + card-last-score:: 1 + - The **cumulative distribution function** is the probability that a random variable $X$ with a given probability distribution will be ^^found at a value less than or equal to^^ $x$. + - The **cumulative distribution function** $F(x)$ of a discrete random variable $X$ with probability distribution $f(x)$ is: + - $$F(x) = P(X \leq x) = \sum_{t \leq x} f(t), \text{ for } - \infty < x < \infty$$ + - ## Continuous Probability Distributions + - What is the **probability distribution function** for a continuous random variable? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:33:14.442Z + card-last-score:: 1 + - The function $f(x)$ is a **probability distribution function** (pdf) for a continuous random variable $X$, defined over a set of real numbers, if: + - 1. $f(x) \geq 0, \text{ for all } x \in R$, + - 2. $\int^{\infty}_{- \infty} f(x) dx = 1$, + - 3. $P(a < X < b) = \int^{b}_{a} f(x)dx$. + - **Note:** $P(X = x) = 0$, i.e., there is no area exactly at $x$. + - +- +- # Expected Value - Location + - What is **expected value** for a **discrete** random variable? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:38:32.978Z + card-last-score:: 1 + - The average, or **expected value** of a random variable is denoted by $E[X]$ & $\mu$. + - It can be found by summing the products of each possible value multiplied by the probability that it occurs: + - $$\mu = E[X] = \sum_x xP(X = x)$$ + - What is the **expected value** for a **continuous** random variable? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:34:30.811Z + card-last-score:: 1 + - A useful summary of interest is the average, or **expected value** of a random variable. + - The **expected value** is denoted by $E[X]$ & $\mu$. + - The **expected value** of a ***continuous*** random variable can be found by: + - $$\mu = E(X) = \int_{-\infty}^{\infty} xf(x)dx$$ +- # Variance, Standard Deviation - Spread + - What is the **variance** & hence the **standard deviation** of a discrete random variable? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:32:08.228Z + card-last-score:: 1 + - The **variance** of a **discrete** random variable measures the squared deviation from the mean: + - $$\sigma^2 = \text{Var}(X) = E[(X - \mu)^2] = \sum_x (x - \mu)^2 P(X =x)$$ + - Alternatively, variance can be calculated by: + - $$\text{Var}(X) = E(X^2) - E^2(X)$$ + - Where + - $$E(X^2) = \sum x^2P(X = x)$$ + - Or, more usefully, the **standard deviation** is: + - $$\sigma = \text{sd}(X) = \sqrt{\text{Var}(X)}$$ + - The standard deviation has the advantage of being in the same units as $X$ (& $\mu$). + - What is the **variance** of a ***continuous*** random variable? #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-10T11:32:22.698Z + - The **variance** of a **continuous** random variable is: + - $$\text{var}(X) = \int_x (x - \mu)^2 f(x)dx$$ +- # Means & Variances + - Adding or subtracting a constant from data shifts the mean, but does not change the variance or the standard deviation. + - $$E[X +c] = E[X] +c, \ \ \text{Var}(X+c) = \text{Var}(X), \ \ \text{sd}(X + c) = sd(X)$$ + - $$E[X -c] = E[X] -c,\ \ \text{Var}(X -c) = \text{Var}(X), \ \ \text{sd}(X - c) = \text{sd}(X)$$ + - Multiplying a random variable by a constant multiplies the mean by that constant, and the variance by the *square* of that constant. + - $$E[aX] = aE[X], \ \ \text{Var}(aX) = a^2 \text{Var}(X), \ \ \text{sd}(aX) = |a|\text{sd}(X)$$ \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/SCRUM Roles & Ceremonies/2022-10-10T11_59_52.471Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/SCRUM Roles & Ceremonies/2022-10-10T11_59_52.471Z.Desktop.md new file mode 100644 index 00000000..3ded0d27 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/SCRUM Roles & Ceremonies/2022-10-10T11_59_52.471Z.Desktop.md @@ -0,0 +1,184 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Introduction to Agile Methods]] +- **Next Topic:** [[Agile Methods - Extreme Programming]] +- **Relevant Slides:** ![Week 3 - SCRUM - Roles and Ceremonies.pdf](../assets/Week_3_-_SCRUM_-_Roles_and_Ceremonies_1663849748773_0.pdf) +- +- # Scrum Framework + - ## Roles + collapsed:: true + - Product Owner + - ScrumMaster + - Team + - + - ### Product Owner #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-23T02:50:34.914Z + card-last-reviewed:: 2022-10-08T22:50:34.914Z + card-last-score:: 5 + - Define the features of the product. + - Tries to remove conjecture - "I know the customer wants this" as opposed to "I believe this would be a good feature". + - Decide on release date and content. + - Usually responsible for press release. + - Be responsible for the profitability of the product (ROI). + - Prioritise features according to market value. + - Conduct market research, feasibility studies. + - Adjust features & priority every iteration, as needed. + - Accept or reject work results. + - ### Scrum Master #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-12T15:17:35.580Z + card-last-reviewed:: 2022-10-08T15:17:35.581Z + card-last-score:: 3 + - Represents management to the project. + - Often one of the engineers. + - Responsible for enacting Scrum values & practices. + - Removes impediments. + - Ensure that the team is fully functional & productive. + - Enable close cooperation across all roles & functions. + - Shield the team from external interfaces. + - ### Scrum Team #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:45:22.892Z + card-last-reviewed:: 2022-10-07T10:45:22.892Z + card-last-score:: 3 + - Typically 5-10 people. + - Cross-functional. + - QA, Programmers, UI Designers, etc. + - Members should be full-time. + - May be exceptions (e.g., System Admin, etc.). + - Teams are self-organising. + - Membership can change only between sprints. + - + - ## Ceremonies + collapsed:: true + - Sprints + - Sprint Planning + - Sprint Review + - Sprint Retrospective + - Daily Scrum Meeting + - + - ### Sprints #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-18T04:54:56.129Z + card-last-reviewed:: 2022-10-08T22:54:56.130Z + card-last-score:: 5 + collapsed:: true + - Scrum projects make progress in a series of **sprints**. + - Target duration is one month. + - + / - a week or two (2 - 6 weeks max). + - Product is designed, coded, and tested during the sprint. + - The output is a built which may or may not be a release. + - Move onto the next sprint. + - + - #### No changes during Sprint + - Plan sprint durations around how long you can commit to keeping the change out of the Sprint. + - ### Sprint Planning #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T14:57:07.042Z + card-last-score:: 1 + collapsed:: true + - The Team selects items from the **product backlog** that they can commit to completing. + - The **Sprint Backlog** is created. + - Tasks are identified & the length of each is estimated (1-16 hours). + - This is done collaboratively by the team. + - ![image.png](../assets/image_1663942604788_0.png) + - #### Sprint Backlog + - What is the **Product Backlog**? #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-23T02:50:06.337Z + card-last-reviewed:: 2022-10-08T22:50:06.337Z + card-last-score:: 5 + - The **Product Backlog** is a list of desired work on the project (the requirements). + - It's usually a combination of: + - **story-based work** - "let user search & replace". + - **task-based work** - "improve exception handling". + - The list is prioritised by the **Product Owner**. + - The **Product Owner** is typically a Product Manager, Marketing, Internal Customer, etc. + - Priority groupings (high, medium, low, etc.). + - Re-prioritised at the start of each sprint. + - Spreadsheet (usually). + - To create a Sprint Backlog, you must have a Sprint goal. + - The Scrum team takes the Sprint Goal and decides what tasks are necessary. + - The Team self-organises around how they will meet the Sprint Goal. + - Manager does not assign tasks to individuals. + - Managers don't make decisions for the team. + - A Sprint Backlog is created. + - #### Sprint Backlogs during the Sprint + - Changes + - The Team adds new tasks whenever they need to, in order to meet the Sprint Goal. + - The Team can remove unnecessary tasks. + - But, the Sprint Backlog can only be updated by the team. + - Estimates are updated whenever there's new information. + - + - ### Sprint Review Meeting #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-18T04:52:59.135Z + card-last-reviewed:: 2022-10-08T22:52:59.135Z + card-last-score:: 5 + - The Team presents what it accomplished during the sprint. + - It typically takes the form of a demo of new features or underlying architecture. + - Informal. + - 2 hour prep time. + - No slides. + - Participants. + - Customers. + - Management. + - Product Owners. + - Engineering Team. + - ### Sprint Retrospective Meeting #card + card-last-interval:: 8.64 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T13:50:17.417Z + card-last-reviewed:: 2022-10-08T22:50:17.418Z + card-last-score:: 3 + - Typically 15-30 mintues. + - Done after every sprint. + - Feedback meeting - time to reflect on how things are going... + - Many participants. + - Scrum Master + - Product Owner + - Team + - Possibly customers & others + - The whole team gathers & discusses what they'd like to: + - Start doing. + - Stop doing. + - Continue doing, + - +- +- ## Pros / Cons of Agile Methods #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-18T04:52:37.640Z + card-last-reviewed:: 2022-10-08T22:52:37.640Z + card-last-score:: 5 + - ### Advantages + - Completely developed & tested features in short iterations. + - Simplicity of the process. + - Clearly defined rules. + - Increasing productivity. + - Self-organising. + - Each team member carries a lot of responsibility. + - Improved communication. + - Combination with Extreme Programming. + - ### Disadvantages + - "Undisciplined hacking" (no written documentation). + - Violation of responsibility. + - Current mainly carried by the inventors. + - Employee burnout & fatigue. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-09-21T07_20_58.209Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-09-21T07_20_58.209Z.Desktop.md new file mode 100644 index 00000000..4129fe4d --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-09-21T07_20_58.209Z.Desktop.md @@ -0,0 +1,122 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Introduction to SQL & DDL]] +- **Next Topic:** null +- **Relevant Slides:** ![Topic 4_DML_SQL_part1.pdf](../assets/Topic_4_DML_SQL_part1_1663680318777_0.pdf) +- +- # Notes on Syntax + - While SQL is case insensitive, Linux ^^is not.^^ + - web1.cs.nuigalway.ie is a ^^linux server^^, so we need to be careful with table names in particular, as `EMPLOYEE` is ^^not the same thing^^ as `employee`. + - Attribute names are separated by commas. + - Strings are enclosed in quotes. + - Numbers are not enclosed in quotes. + - + - Usually, SQL keywords are capitalised while table & keyword names are mostly kept in lowercase unless using camelCase instead of snake_case. + - Code should be organised horizontally & vertically, and not all written on one line. + - Code blocks are separated by a semicolon. + - Comments can be made using `#`, `--`, & `/* */`. +- +- # **CRUD** Operations in DML + - What are **CRUD** Operations? #card + - **CRUD** operations are the 4 basic functions that we may wish to perform on *persistent* data. + - **Create:** insert a new tuple. `INSERT` + - **Read:** retrieve some data. `SELECT` + - **Update:** modify some data. `Update` + - **Delete:** delete some data or a tuple. `DELETE` + - ## Read: `SELECT` + - The basic syntax for an SQL select query to *read* data consists of 6 clauses. #card + collapsed:: true + - ```sql + SELECT [DISTINCT] + FROM
+ WHERE + GROUP BY + HAVING + ORDER BY + ``` + - The order of these clauses ^^cannot be changed.^^ + - `SELECT` & `FROM` are ^^always required^^, other clauses are optional. + - ### `SELECT FROM
WHERE ` #card + collapsed:: true + - `` is a list of **attribute** (column) names (separated by commas) whose values will be retrieved by the query. + - `
` is a list of table names (separated by commas) containing the attributes. + - `` is a **Boolean** expression that identifies the tuples to be retrieved by the query. + - For each **tuple** (row) in the table(s) which are part of the query: + - the tuple is checked to see if the condition is **true** for this tuple. + - If **true**, the tuple **is** part of the output. + - If **false**, the tuple is **not** part of the output. + - The comparison operators are: + - `=` `<=` `<` `>` `>=` `!=` + - Conditions can be compounded by use of Boolean `AND`, `OR`, and can be negated with `NOT`. + - ^^Note:^^ In some versions of SQL, (e.g., in MS), the `!=` operator is written as `<>`. + - ### Calculated or Derived Fields #card + collapsed:: true + - We can specify an SQL expression in the `SELECT` clause which can involve **numerical operations** on **numeric** fields and **counting operations** on **non-numeric** fields. + - e.g., + - ```sql + SELECT ssn, salary/12 FROM employee; + ``` + - ### Tidying Up the Output #card + collapsed:: true + - We can use keywords `CAST`, `AS`, & `DECIMAL(x, y)` to specify the total number of digits `x` and the number of digits after the decimal point `y` when we're working with **real numbers**. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + FROM employee; + ``` + - We can also use the keyword `AS` to rename output. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + AS monthlySalary + FROM employee; + ``` + - + - ### Keyword `DISTINCT` #card + collapsed:: true + - The keyword `DISTINCT` automatically removes duplicates from the returned result set. + - We should be careful of using with large result sets as it can be an expensive operation to perform (not a problem for our small examples). + - ```sql + SELECT DISTINCT salary + FROM employee; + ``` + - ### Selecting All Attribute Values for Selected Tuples #card + - To retrieve all attribute values of selected tuples, you do not have to explicitly list all the attribute names - instead, you can use ```SELECT *```. + - ### New Operators + collapsed:: true + - `BETWEEN` #card + - The `BETWEEN` operator selects values within a given range. The values can be numbers, texts, or dates. + - ```sql + SELECT + FROM
+ WHERE BETWEEN AND ; + ``` + - `IN` #card + - The `IN` operator tests if a data value matches one of a list of values. + - It is a shorthand for multiple `OR` conditions. + - ```sql + SELECT + FROM + WHERE IN (, , ...); + + -- OR -- + + SELECT + FROM + WHERE IN (SELECT ); + ``` + - `LIKE` #card + - Allows string comparison, when equality is too strict. + - There are 2 wildcards, often used in conjunction with the `LIKE` operator: + - The percent sign `%` represents zero, one, or multiple characters. + - The underscore sign `_` represents one, single character. + - ```sql + SELECT + FROM + WHERE LIKE ; + ``` + - `IS NULL` #card + - Allows an explicit search for `NULL`. + - + - + - ### Set Operators + - `UNION` + - `INTERSECTION` + - `MINUS / DIFFERENCE` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-09-22T07_59_49.185Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-09-22T07_59_49.185Z.Desktop.md new file mode 100644 index 00000000..4129fe4d --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-09-22T07_59_49.185Z.Desktop.md @@ -0,0 +1,122 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Introduction to SQL & DDL]] +- **Next Topic:** null +- **Relevant Slides:** ![Topic 4_DML_SQL_part1.pdf](../assets/Topic_4_DML_SQL_part1_1663680318777_0.pdf) +- +- # Notes on Syntax + - While SQL is case insensitive, Linux ^^is not.^^ + - web1.cs.nuigalway.ie is a ^^linux server^^, so we need to be careful with table names in particular, as `EMPLOYEE` is ^^not the same thing^^ as `employee`. + - Attribute names are separated by commas. + - Strings are enclosed in quotes. + - Numbers are not enclosed in quotes. + - + - Usually, SQL keywords are capitalised while table & keyword names are mostly kept in lowercase unless using camelCase instead of snake_case. + - Code should be organised horizontally & vertically, and not all written on one line. + - Code blocks are separated by a semicolon. + - Comments can be made using `#`, `--`, & `/* */`. +- +- # **CRUD** Operations in DML + - What are **CRUD** Operations? #card + - **CRUD** operations are the 4 basic functions that we may wish to perform on *persistent* data. + - **Create:** insert a new tuple. `INSERT` + - **Read:** retrieve some data. `SELECT` + - **Update:** modify some data. `Update` + - **Delete:** delete some data or a tuple. `DELETE` + - ## Read: `SELECT` + - The basic syntax for an SQL select query to *read* data consists of 6 clauses. #card + collapsed:: true + - ```sql + SELECT [DISTINCT] + FROM
+ WHERE + GROUP BY + HAVING + ORDER BY + ``` + - The order of these clauses ^^cannot be changed.^^ + - `SELECT` & `FROM` are ^^always required^^, other clauses are optional. + - ### `SELECT FROM
WHERE ` #card + collapsed:: true + - `` is a list of **attribute** (column) names (separated by commas) whose values will be retrieved by the query. + - `
` is a list of table names (separated by commas) containing the attributes. + - `` is a **Boolean** expression that identifies the tuples to be retrieved by the query. + - For each **tuple** (row) in the table(s) which are part of the query: + - the tuple is checked to see if the condition is **true** for this tuple. + - If **true**, the tuple **is** part of the output. + - If **false**, the tuple is **not** part of the output. + - The comparison operators are: + - `=` `<=` `<` `>` `>=` `!=` + - Conditions can be compounded by use of Boolean `AND`, `OR`, and can be negated with `NOT`. + - ^^Note:^^ In some versions of SQL, (e.g., in MS), the `!=` operator is written as `<>`. + - ### Calculated or Derived Fields #card + collapsed:: true + - We can specify an SQL expression in the `SELECT` clause which can involve **numerical operations** on **numeric** fields and **counting operations** on **non-numeric** fields. + - e.g., + - ```sql + SELECT ssn, salary/12 FROM employee; + ``` + - ### Tidying Up the Output #card + collapsed:: true + - We can use keywords `CAST`, `AS`, & `DECIMAL(x, y)` to specify the total number of digits `x` and the number of digits after the decimal point `y` when we're working with **real numbers**. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + FROM employee; + ``` + - We can also use the keyword `AS` to rename output. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + AS monthlySalary + FROM employee; + ``` + - + - ### Keyword `DISTINCT` #card + collapsed:: true + - The keyword `DISTINCT` automatically removes duplicates from the returned result set. + - We should be careful of using with large result sets as it can be an expensive operation to perform (not a problem for our small examples). + - ```sql + SELECT DISTINCT salary + FROM employee; + ``` + - ### Selecting All Attribute Values for Selected Tuples #card + - To retrieve all attribute values of selected tuples, you do not have to explicitly list all the attribute names - instead, you can use ```SELECT *```. + - ### New Operators + collapsed:: true + - `BETWEEN` #card + - The `BETWEEN` operator selects values within a given range. The values can be numbers, texts, or dates. + - ```sql + SELECT + FROM
+ WHERE BETWEEN AND ; + ``` + - `IN` #card + - The `IN` operator tests if a data value matches one of a list of values. + - It is a shorthand for multiple `OR` conditions. + - ```sql + SELECT + FROM + WHERE IN (, , ...); + + -- OR -- + + SELECT + FROM + WHERE IN (SELECT ); + ``` + - `LIKE` #card + - Allows string comparison, when equality is too strict. + - There are 2 wildcards, often used in conjunction with the `LIKE` operator: + - The percent sign `%` represents zero, one, or multiple characters. + - The underscore sign `_` represents one, single character. + - ```sql + SELECT + FROM + WHERE LIKE ; + ``` + - `IS NULL` #card + - Allows an explicit search for `NULL`. + - + - + - ### Set Operators + - `UNION` + - `INTERSECTION` + - `MINUS / DIFFERENCE` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-09-30T08_54_51.922Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-09-30T08_54_51.922Z.Desktop.md new file mode 100644 index 00000000..ad613846 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-09-30T08_54_51.922Z.Desktop.md @@ -0,0 +1,194 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Introduction to SQL & DDL]] +- **Next Topic:** null +- **Relevant Slides:** ![Topic 4_DML_SQL_part1.pdf](../assets/Topic_4_DML_SQL_part1_1663680318777_0.pdf) +- +- # Notes on Syntax + - While SQL is case insensitive, Linux ^^is not.^^ + - web1.cs.nuigalway.ie is a ^^linux server^^, so we need to be careful with table names in particular, as `EMPLOYEE` is ^^not the same thing^^ as `employee`. + - Attribute names are separated by commas. + - Strings are enclosed in quotes. + - Numbers are not enclosed in quotes. + - + - Usually, SQL keywords are capitalised while table & keyword names are mostly kept in lowercase unless using camelCase instead of snake_case. + - Code should be organised horizontally & vertically, and not all written on one line. + - Code blocks are separated by a semicolon. + - Comments can be made using `#`, `--`, & `/* */`. +- +- # **CRUD** Operations in DML + - What are **CRUD** Operations? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-24T23:00:00.000Z + card-last-reviewed:: 2022-09-24T17:00:12.767Z + card-last-score:: 1 + - **CRUD** operations are the 4 basic functions that we may wish to perform on *persistent* data. + - **Create:** insert a new tuple. `INSERT` + - **Read:** retrieve some data. `SELECT` + - **Update:** modify some data. `Update` + - **Delete:** delete some data or a tuple. `DELETE` + - ## Read: `SELECT` + - The basic syntax for an SQL select query to *read* data consists of 6 clauses. #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:18:06.301Z + card-last-reviewed:: 2022-09-26T12:18:06.301Z + card-last-score:: 3 + - ```sql + SELECT [DISTINCT] + FROM
+ WHERE + GROUP BY + HAVING + ORDER BY + ``` + - The order of these clauses ^^cannot be changed.^^ + - `SELECT` & `FROM` are ^^always required^^, other clauses are optional. + - ### `SELECT FROM
WHERE ` #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-28T17:00:54.009Z + card-last-reviewed:: 2022-09-24T17:00:54.010Z + card-last-score:: 5 + - `` is a list of **attribute** (column) names (separated by commas) whose values will be retrieved by the query. + - `
` is a list of table names (separated by commas) containing the attributes. + - `` is a **Boolean** expression that identifies the tuples to be retrieved by the query. + - For each **tuple** (row) in the table(s) which are part of the query: + - the tuple is checked to see if the condition is **true** for this tuple. + - If **true**, the tuple **is** part of the output. + - If **false**, the tuple is **not** part of the output. + - The comparison operators are: + - `=` `<=` `<` `>` `>=` `!=` + - Conditions can be compounded by use of Boolean `AND`, `OR`, and can be negated with `NOT`. + - ^^Note:^^ In some versions of SQL, (e.g., in MS), the `!=` operator is written as `<>`. + - ### Calculated or Derived Fields #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:13:51.230Z + card-last-reviewed:: 2022-09-26T12:13:51.230Z + card-last-score:: 3 + - We can specify an SQL expression in the `SELECT` clause which can involve **numerical operations** on **numeric** fields and **counting operations** on **non-numeric** fields. + - e.g., + - ```sql + SELECT ssn, salary/12 FROM employee; + ``` + - ### Tidying Up the Output #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:15:08.064Z + card-last-reviewed:: 2022-09-26T12:15:08.065Z + card-last-score:: 3 + - We can use keywords `CAST`, `AS`, & `DECIMAL(x, y)` to specify the total number of digits `x` and the number of digits after the decimal point `y` when we're working with **real numbers**. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + FROM employee; + ``` + - We can also use the keyword `AS` to rename output. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + AS monthlySalary + FROM employee; + ``` + - + - ### Keyword `DISTINCT` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:12:52.222Z + card-last-reviewed:: 2022-09-26T12:12:52.223Z + card-last-score:: 5 + - The keyword `DISTINCT` automatically removes duplicates from the returned result set. + - We should be careful of using with large result sets as it can be an expensive operation to perform (not a problem for our small examples). + - ```sql + SELECT DISTINCT salary + FROM employee; + ``` + - ### Selecting All Attribute Values for Selected Tuples #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:15:11.914Z + card-last-reviewed:: 2022-09-26T12:15:11.915Z + card-last-score:: 5 + - To retrieve all attribute values of selected tuples, you do not have to explicitly list all the attribute names - instead, you can use ```SELECT *```. + - ### New Operators + collapsed:: true + - `BETWEEN` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-26T20:27:09.511Z + card-last-reviewed:: 2022-09-22T20:27:09.512Z + card-last-score:: 5 + - The `BETWEEN` operator selects values within a given range. The values can be numbers, texts, or dates. + - ```sql + SELECT + FROM
+ WHERE BETWEEN AND ; + ``` + - `IN` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:14:02.819Z + card-last-reviewed:: 2022-09-26T12:14:02.820Z + card-last-score:: 5 + - The `IN` operator tests if a data value matches one of a list of values. + - It is a shorthand for multiple `OR` conditions. + - ```sql + SELECT + FROM + WHERE IN (, , ...); + + -- OR -- + + SELECT + FROM + WHERE IN (SELECT ); + ``` + - `LIKE` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-26T20:27:37.725Z + card-last-reviewed:: 2022-09-22T20:27:37.726Z + card-last-score:: 5 + - Allows string comparison, when equality is too strict. + - There are 2 wildcards, often used in conjunction with the `LIKE` operator: + - The percent sign `%` represents zero, one, or multiple characters. + - The underscore sign `_` represents one, single character. + - ```sql + SELECT + FROM + WHERE LIKE ; + ``` + - `IS NULL` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-28T17:00:36.501Z + card-last-reviewed:: 2022-09-24T17:00:36.502Z + card-last-score:: 5 + - Allows an explicit search for `NULL`. + - + - + - ### Set Operators + - `UNION` + - `INTERSECTION` + - `MINUS / DIFFERENCE` +- +- +- ```SQL + SELECT full_name, ssn FROM ( + SELECT ssn, CONCAT(fname, " ", minit, " ", lname) + AS full_name from employee) AS dtable + WHERE full_name IN ("John B Smith", "James E Borg", "Joyce A English"); + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-09-30T10_01_42.370Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-09-30T10_01_42.370Z.Desktop.md new file mode 100644 index 00000000..ad613846 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-09-30T10_01_42.370Z.Desktop.md @@ -0,0 +1,194 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Introduction to SQL & DDL]] +- **Next Topic:** null +- **Relevant Slides:** ![Topic 4_DML_SQL_part1.pdf](../assets/Topic_4_DML_SQL_part1_1663680318777_0.pdf) +- +- # Notes on Syntax + - While SQL is case insensitive, Linux ^^is not.^^ + - web1.cs.nuigalway.ie is a ^^linux server^^, so we need to be careful with table names in particular, as `EMPLOYEE` is ^^not the same thing^^ as `employee`. + - Attribute names are separated by commas. + - Strings are enclosed in quotes. + - Numbers are not enclosed in quotes. + - + - Usually, SQL keywords are capitalised while table & keyword names are mostly kept in lowercase unless using camelCase instead of snake_case. + - Code should be organised horizontally & vertically, and not all written on one line. + - Code blocks are separated by a semicolon. + - Comments can be made using `#`, `--`, & `/* */`. +- +- # **CRUD** Operations in DML + - What are **CRUD** Operations? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-24T23:00:00.000Z + card-last-reviewed:: 2022-09-24T17:00:12.767Z + card-last-score:: 1 + - **CRUD** operations are the 4 basic functions that we may wish to perform on *persistent* data. + - **Create:** insert a new tuple. `INSERT` + - **Read:** retrieve some data. `SELECT` + - **Update:** modify some data. `Update` + - **Delete:** delete some data or a tuple. `DELETE` + - ## Read: `SELECT` + - The basic syntax for an SQL select query to *read* data consists of 6 clauses. #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:18:06.301Z + card-last-reviewed:: 2022-09-26T12:18:06.301Z + card-last-score:: 3 + - ```sql + SELECT [DISTINCT] + FROM
+ WHERE + GROUP BY + HAVING + ORDER BY + ``` + - The order of these clauses ^^cannot be changed.^^ + - `SELECT` & `FROM` are ^^always required^^, other clauses are optional. + - ### `SELECT FROM
WHERE ` #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-28T17:00:54.009Z + card-last-reviewed:: 2022-09-24T17:00:54.010Z + card-last-score:: 5 + - `` is a list of **attribute** (column) names (separated by commas) whose values will be retrieved by the query. + - `
` is a list of table names (separated by commas) containing the attributes. + - `` is a **Boolean** expression that identifies the tuples to be retrieved by the query. + - For each **tuple** (row) in the table(s) which are part of the query: + - the tuple is checked to see if the condition is **true** for this tuple. + - If **true**, the tuple **is** part of the output. + - If **false**, the tuple is **not** part of the output. + - The comparison operators are: + - `=` `<=` `<` `>` `>=` `!=` + - Conditions can be compounded by use of Boolean `AND`, `OR`, and can be negated with `NOT`. + - ^^Note:^^ In some versions of SQL, (e.g., in MS), the `!=` operator is written as `<>`. + - ### Calculated or Derived Fields #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:13:51.230Z + card-last-reviewed:: 2022-09-26T12:13:51.230Z + card-last-score:: 3 + - We can specify an SQL expression in the `SELECT` clause which can involve **numerical operations** on **numeric** fields and **counting operations** on **non-numeric** fields. + - e.g., + - ```sql + SELECT ssn, salary/12 FROM employee; + ``` + - ### Tidying Up the Output #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:15:08.064Z + card-last-reviewed:: 2022-09-26T12:15:08.065Z + card-last-score:: 3 + - We can use keywords `CAST`, `AS`, & `DECIMAL(x, y)` to specify the total number of digits `x` and the number of digits after the decimal point `y` when we're working with **real numbers**. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + FROM employee; + ``` + - We can also use the keyword `AS` to rename output. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + AS monthlySalary + FROM employee; + ``` + - + - ### Keyword `DISTINCT` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:12:52.222Z + card-last-reviewed:: 2022-09-26T12:12:52.223Z + card-last-score:: 5 + - The keyword `DISTINCT` automatically removes duplicates from the returned result set. + - We should be careful of using with large result sets as it can be an expensive operation to perform (not a problem for our small examples). + - ```sql + SELECT DISTINCT salary + FROM employee; + ``` + - ### Selecting All Attribute Values for Selected Tuples #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:15:11.914Z + card-last-reviewed:: 2022-09-26T12:15:11.915Z + card-last-score:: 5 + - To retrieve all attribute values of selected tuples, you do not have to explicitly list all the attribute names - instead, you can use ```SELECT *```. + - ### New Operators + collapsed:: true + - `BETWEEN` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-26T20:27:09.511Z + card-last-reviewed:: 2022-09-22T20:27:09.512Z + card-last-score:: 5 + - The `BETWEEN` operator selects values within a given range. The values can be numbers, texts, or dates. + - ```sql + SELECT + FROM
+ WHERE BETWEEN AND ; + ``` + - `IN` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:14:02.819Z + card-last-reviewed:: 2022-09-26T12:14:02.820Z + card-last-score:: 5 + - The `IN` operator tests if a data value matches one of a list of values. + - It is a shorthand for multiple `OR` conditions. + - ```sql + SELECT + FROM + WHERE IN (, , ...); + + -- OR -- + + SELECT + FROM + WHERE IN (SELECT ); + ``` + - `LIKE` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-26T20:27:37.725Z + card-last-reviewed:: 2022-09-22T20:27:37.726Z + card-last-score:: 5 + - Allows string comparison, when equality is too strict. + - There are 2 wildcards, often used in conjunction with the `LIKE` operator: + - The percent sign `%` represents zero, one, or multiple characters. + - The underscore sign `_` represents one, single character. + - ```sql + SELECT + FROM + WHERE LIKE ; + ``` + - `IS NULL` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-28T17:00:36.501Z + card-last-reviewed:: 2022-09-24T17:00:36.502Z + card-last-score:: 5 + - Allows an explicit search for `NULL`. + - + - + - ### Set Operators + - `UNION` + - `INTERSECTION` + - `MINUS / DIFFERENCE` +- +- +- ```SQL + SELECT full_name, ssn FROM ( + SELECT ssn, CONCAT(fname, " ", minit, " ", lname) + AS full_name from employee) AS dtable + WHERE full_name IN ("John B Smith", "James E Borg", "Joyce A English"); + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-10-07T18_07_00.025Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-10-07T18_07_00.025Z.Desktop.md new file mode 100644 index 00000000..688c7c6c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML Statement/2022-10-07T18_07_00.025Z.Desktop.md @@ -0,0 +1,194 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Introduction to SQL & DDL]] +- **Next Topic:** [[SQL DML: SELECT]] +- **Relevant Slides:** ![Topic 4_DML_SQL_part1.pdf](../assets/Topic_4_DML_SQL_part1_1663680318777_0.pdf) +- +- # Notes on Syntax + - While SQL is case insensitive, Linux ^^is not.^^ + - web1.cs.nuigalway.ie is a ^^linux server^^, so we need to be careful with table names in particular, as `EMPLOYEE` is ^^not the same thing^^ as `employee`. + - Attribute names are separated by commas. + - Strings are enclosed in quotes. + - Numbers are not enclosed in quotes. + - + - Usually, SQL keywords are capitalised while table & keyword names are mostly kept in lowercase unless using camelCase instead of snake_case. + - Code should be organised horizontally & vertically, and not all written on one line. + - Code blocks are separated by a semicolon. + - Comments can be made using `#`, `--`, & `/* */`. +- +- # **CRUD** Operations in DML + - What are **CRUD** Operations? #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-07T17:31:41.234Z + card-last-reviewed:: 2022-10-03T14:31:41.234Z + card-last-score:: 5 + - **CRUD** operations are the 4 basic functions that we may wish to perform on *persistent* data. + - **Create:** insert a new tuple. `INSERT` + - **Read:** retrieve some data. `SELECT` + - **Update:** modify some data. `Update` + - **Delete:** delete some data or a tuple. `DELETE` + - ## Read: `SELECT` + - The basic syntax for an SQL select query to *read* data consists of 6 clauses. #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-08T12:16:18.126Z + card-last-reviewed:: 2022-10-04T12:16:18.126Z + card-last-score:: 3 + - ```sql + SELECT [DISTINCT] + FROM
+ WHERE + GROUP BY + HAVING + ORDER BY + ``` + - The order of these clauses ^^cannot be changed.^^ + - `SELECT` & `FROM` are ^^always required^^, other clauses are optional. + - ### `SELECT FROM
WHERE ` #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-10T01:17:27.890Z + card-last-reviewed:: 2022-10-07T10:17:27.890Z + card-last-score:: 5 + - `` is a list of **attribute** (column) names (separated by commas) whose values will be retrieved by the query. + - `
` is a list of table names (separated by commas) containing the attributes. + - `` is a **Boolean** expression that identifies the tuples to be retrieved by the query. + - For each **tuple** (row) in the table(s) which are part of the query: + - the tuple is checked to see if the condition is **true** for this tuple. + - If **true**, the tuple **is** part of the output. + - If **false**, the tuple is **not** part of the output. + - The comparison operators are: + - `=` `<=` `<` `>` `>=` `!=` + - Conditions can be compounded by use of Boolean `AND`, `OR`, and can be negated with `NOT`. + - ^^Note:^^ In some versions of SQL, (e.g., in MS), the `!=` operator is written as `<>`. + - ### Calculated or Derived Fields #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-08T12:13:32.097Z + card-last-reviewed:: 2022-10-04T12:13:32.098Z + card-last-score:: 5 + - We can specify an SQL expression in the `SELECT` clause which can involve **numerical operations** on **numeric** fields and **counting operations** on **non-numeric** fields. + - e.g., + - ```sql + SELECT ssn, salary/12 FROM employee; + ``` + - ### Tidying Up the Output #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-08T12:15:09.891Z + card-last-reviewed:: 2022-10-04T12:15:09.891Z + card-last-score:: 5 + - We can use keywords `CAST`, `AS`, & `DECIMAL(x, y)` to specify the total number of digits `x` and the number of digits after the decimal point `y` when we're working with **real numbers**. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + FROM employee; + ``` + - We can also use the keyword `AS` to rename output. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + AS monthlySalary + FROM employee; + ``` + - + - ### Keyword `DISTINCT` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-08T12:11:39.665Z + card-last-reviewed:: 2022-10-04T12:11:39.665Z + card-last-score:: 5 + - The keyword `DISTINCT` automatically removes duplicates from the returned result set. + - We should be careful of using with large result sets as it can be an expensive operation to perform (not a problem for our small examples). + - ```sql + SELECT DISTINCT salary + FROM employee; + ``` + - ### Selecting All Attribute Values for Selected Tuples #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:41:40.689Z + card-last-reviewed:: 2022-10-07T10:41:40.689Z + card-last-score:: 5 + - To retrieve all attribute values of selected tuples, you do not have to explicitly list all the attribute names - instead, you can use `SELECT *`. + - ### New Operators + collapsed:: true + - `BETWEEN` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-07T14:32:19.512Z + card-last-reviewed:: 2022-10-03T14:32:19.512Z + card-last-score:: 5 + - The `BETWEEN` operator selects values within a given range. The values can be numbers, texts, or dates. + - ```sql + SELECT + FROM
+ WHERE BETWEEN AND ; + ``` + - `IN` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-08T12:13:52.063Z + card-last-reviewed:: 2022-10-04T12:13:52.063Z + card-last-score:: 3 + - The `IN` operator tests if a data value matches one of a list of values. + - It is a shorthand for multiple `OR` conditions. + - ```sql + SELECT + FROM + WHERE IN (, , ...); + + -- OR -- + + SELECT + FROM + WHERE IN (SELECT ); + ``` + - `LIKE` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-08T12:25:59.076Z + card-last-reviewed:: 2022-10-04T12:25:59.076Z + card-last-score:: 5 + - Allows string comparison, when equality is too strict. + - There are 2 wildcards, often used in conjunction with the `LIKE` operator: + - The percent sign `%` represents zero, one, or multiple characters. + - The underscore sign `_` represents one, single character. + - ```sql + SELECT + FROM + WHERE LIKE ; + ``` + - `IS NULL` #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:12:30.812Z + card-last-reviewed:: 2022-09-30T12:12:30.812Z + card-last-score:: 5 + - Allows an explicit search for `NULL`. + - + - + - ### Set Operators + - `UNION` + - `INTERSECTION` + - `MINUS / DIFFERENCE` +- +- +- ```SQL + SELECT full_name, ssn FROM ( + SELECT ssn, CONCAT(fname, " ", minit, " ", lname) + AS full_name from employee) AS dtable + WHERE full_name IN ("John B Smith", "James E Borg", "Joyce A English"); + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML%3A SELECT/2022-09-30T20_40_57.000Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML%3A SELECT/2022-09-30T20_40_57.000Z.Desktop.md new file mode 100644 index 00000000..780d7833 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML%3A SELECT/2022-09-30T20_40_57.000Z.Desktop.md @@ -0,0 +1,196 @@ +title:: SQL DML: SELECT + +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Introduction to SQL & DDL]] +- **Next Topic:** [[SQL SELECT: Working with Strings & Subqueries]] +- **Relevant Slides:** ![Topic 4_DML_SQL_part1.pdf](../assets/Topic_4_DML_SQL_part1_1663680318777_0.pdf) +- +- # Notes on Syntax + - While SQL is case insensitive, Linux ^^is not.^^ + - web1.cs.nuigalway.ie is a ^^linux server^^, so we need to be careful with table names in particular, as `EMPLOYEE` is ^^not the same thing^^ as `employee`. + - Attribute names are separated by commas. + - Strings are enclosed in quotes. + - Numbers are not enclosed in quotes. + - + - Usually, SQL keywords are capitalised while table & keyword names are mostly kept in lowercase unless using camelCase instead of snake_case. + - Code should be organised horizontally & vertically, and not all written on one line. + - Code blocks are separated by a semicolon. + - Comments can be made using `#`, `--`, & `/* */`. +- +- # **CRUD** Operations in DML + - What are **CRUD** Operations? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-24T23:00:00.000Z + card-last-reviewed:: 2022-09-24T17:00:12.767Z + card-last-score:: 1 + - **CRUD** operations are the 4 basic functions that we may wish to perform on *persistent* data. + - **Create:** insert a new tuple. `INSERT` + - **Read:** retrieve some data. `SELECT` + - **Update:** modify some data. `Update` + - **Delete:** delete some data or a tuple. `DELETE` + - ## Read: `SELECT` + - The basic syntax for an SQL select query to *read* data consists of 6 clauses. #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:18:06.301Z + card-last-reviewed:: 2022-09-26T12:18:06.301Z + card-last-score:: 3 + - ```sql + SELECT [DISTINCT] + FROM
+ WHERE + GROUP BY + HAVING + ORDER BY + ``` + - The order of these clauses ^^cannot be changed.^^ + - `SELECT` & `FROM` are ^^always required^^, other clauses are optional. + - ### `SELECT FROM
WHERE ` #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T12:12:20.540Z + card-last-reviewed:: 2022-09-30T12:12:20.540Z + card-last-score:: 5 + - `` is a list of **attribute** (column) names (separated by commas) whose values will be retrieved by the query. + - `
` is a list of table names (separated by commas) containing the attributes. + - `` is a **Boolean** expression that identifies the tuples to be retrieved by the query. + - For each **tuple** (row) in the table(s) which are part of the query: + - the tuple is checked to see if the condition is **true** for this tuple. + - If **true**, the tuple **is** part of the output. + - If **false**, the tuple is **not** part of the output. + - The comparison operators are: + - `=` `<=` `<` `>` `>=` `!=` + - Conditions can be compounded by use of Boolean `AND`, `OR`, and can be negated with `NOT`. + - ^^Note:^^ In some versions of SQL, (e.g., in MS), the `!=` operator is written as `<>`. + - ### Calculated or Derived Fields #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:13:51.230Z + card-last-reviewed:: 2022-09-26T12:13:51.230Z + card-last-score:: 3 + - We can specify an SQL expression in the `SELECT` clause which can involve **numerical operations** on **numeric** fields and **counting operations** on **non-numeric** fields. + - e.g., + - ```sql + SELECT ssn, salary/12 FROM employee; + ``` + - ### Tidying Up the Output #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T12:15:08.064Z + card-last-reviewed:: 2022-09-26T12:15:08.065Z + card-last-score:: 3 + - We can use keywords `CAST`, `AS`, & `DECIMAL(x, y)` to specify the total number of digits `x` and the number of digits after the decimal point `y` when we're working with **real numbers**. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + FROM employee; + ``` + - We can also use the keyword `AS` to rename output. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + AS monthlySalary + FROM employee; + ``` + - + - ### Keyword `DISTINCT` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:12:52.222Z + card-last-reviewed:: 2022-09-26T12:12:52.223Z + card-last-score:: 5 + - The keyword `DISTINCT` automatically removes duplicates from the returned result set. + - We should be careful of using with large result sets as it can be an expensive operation to perform (not a problem for our small examples). + - ```sql + SELECT DISTINCT salary + FROM employee; + ``` + - ### Selecting All Attribute Values for Selected Tuples #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:15:11.914Z + card-last-reviewed:: 2022-09-26T12:15:11.915Z + card-last-score:: 5 + - To retrieve all attribute values of selected tuples, you do not have to explicitly list all the attribute names - instead, you can use ```SELECT *```. + - ### New Operators + collapsed:: true + - `BETWEEN` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-26T20:27:09.511Z + card-last-reviewed:: 2022-09-22T20:27:09.512Z + card-last-score:: 5 + - The `BETWEEN` operator selects values within a given range. The values can be numbers, texts, or dates. + - ```sql + SELECT + FROM
+ WHERE BETWEEN AND ; + ``` + - `IN` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-30T12:14:02.819Z + card-last-reviewed:: 2022-09-26T12:14:02.820Z + card-last-score:: 5 + - The `IN` operator tests if a data value matches one of a list of values. + - It is a shorthand for multiple `OR` conditions. + - ```sql + SELECT + FROM + WHERE IN (, , ...); + + -- OR -- + + SELECT + FROM + WHERE IN (SELECT ); + ``` + - `LIKE` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-26T20:27:37.725Z + card-last-reviewed:: 2022-09-22T20:27:37.726Z + card-last-score:: 5 + - Allows string comparison, when equality is too strict. + - There are 2 wildcards, often used in conjunction with the `LIKE` operator: + - The percent sign `%` represents zero, one, or multiple characters. + - The underscore sign `_` represents one, single character. + - ```sql + SELECT + FROM + WHERE LIKE ; + ``` + - `IS NULL` #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-28T17:00:36.501Z + card-last-reviewed:: 2022-09-24T17:00:36.502Z + card-last-score:: 5 + - Allows an explicit search for `NULL`. + - + - + - ### Set Operators + - `UNION` + - `INTERSECTION` + - `MINUS / DIFFERENCE` +- +- +- ```SQL + SELECT full_name, ssn FROM ( + SELECT ssn, CONCAT(fname, " ", minit, " ", lname) + AS full_name from employee) AS dtable + WHERE full_name IN ("John B Smith", "James E Borg", "Joyce A English"); + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML%3A SELECT/2022-10-07T18_07_00.027Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML%3A SELECT/2022-10-07T18_07_00.027Z.Desktop.md new file mode 100644 index 00000000..65139d4d --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML%3A SELECT/2022-10-07T18_07_00.027Z.Desktop.md @@ -0,0 +1,192 @@ +title:: SQL DML: SELECT + +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[SQL DML Statement]] +- **Next Topic:** [[SQL SELECT: Working with Strings & Subqueries]] +- **Relevant Slides:** ![Topic 4_DML_SQL_part1.pdf](../assets/Topic_4_DML_SQL_part1_1663680318777_0.pdf) +- +- # Notes on Syntax + - While SQL is case insensitive, Linux ^^is not.^^ + - web1.cs.nuigalway.ie is a ^^linux server^^, so we need to be careful with table names in particular, as `EMPLOYEE` is ^^not the same thing^^ as `employee`. + - Attribute names are separated by commas. + - Strings are enclosed in quotes. + - Numbers are not enclosed in quotes. + - + - Usually, SQL keywords are capitalised while table & keyword names are mostly kept in lowercase unless using camelCase instead of snake_case. + - Code should be organised horizontally & vertically, and not all written on one line. + - Code blocks are separated by a semicolon. + - Comments can be made using `#`, `--`, & `/* */`. +- +- # **CRUD** Operations in DML + - What are **CRUD** Operations? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:21:09.621Z + card-last-reviewed:: 2022-10-07T10:21:09.622Z + card-last-score:: 3 + - **CRUD** operations are the 4 basic functions that we may wish to perform on *persistent* data. + - **Create:** insert a new tuple. `INSERT` + - **Read:** retrieve some data. `SELECT` + - **Update:** modify some data. `Update` + - **Delete:** delete some data or a tuple. `DELETE` + - ## Read: `SELECT` + - The basic syntax for an SQL select query to *read* data consists of 6 clauses. #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-08T12:16:16.550Z + card-last-reviewed:: 2022-10-04T12:16:16.551Z + card-last-score:: 3 + - ```sql + SELECT [DISTINCT] + FROM
+ WHERE + GROUP BY + HAVING + ORDER BY + ``` + - The order of these clauses ^^cannot be changed.^^ + - `SELECT` & `FROM` are ^^always required^^, other clauses are optional. + - ### `SELECT FROM
WHERE ` #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-17T13:42:05.898Z + card-last-reviewed:: 2022-10-06T09:42:05.898Z + card-last-score:: 5 + - `` is a list of **attribute** (column) names (separated by commas) whose values will be retrieved by the query. + - `
` is a list of table names (separated by commas) containing the attributes. + - `` is a **Boolean** expression that identifies the tuples to be retrieved by the query. + - For each **tuple** (row) in the table(s) which are part of the query: + - the tuple is checked to see if the condition is **true** for this tuple. + - If **true**, the tuple **is** part of the output. + - If **false**, the tuple is **not** part of the output. + - The comparison operators are: + - `=` `<=` `<` `>` `>=` `!=` + - Conditions can be compounded by use of Boolean `AND`, `OR`, and can be negated with `NOT`. + - ^^Note:^^ In some versions of SQL, (e.g., in MS), the `!=` operator is written as `<>`. + - ### Calculated or Derived Fields #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-08T12:13:30.296Z + card-last-reviewed:: 2022-10-04T12:13:30.297Z + card-last-score:: 5 + - We can specify an SQL expression in the `SELECT` clause which can involve **numerical operations** on **numeric** fields and **counting operations** on **non-numeric** fields. + - e.g., + - ```sql + SELECT ssn, salary/12 FROM employee; + ``` + - ### Tidying Up the Output #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-08T12:15:11.672Z + card-last-reviewed:: 2022-10-04T12:15:11.673Z + card-last-score:: 5 + - We can use keywords `CAST`, `AS`, & `DECIMAL(x, y)` to specify the total number of digits `x` and the number of digits after the decimal point `y` when we're working with **real numbers**. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + FROM employee; + ``` + - We can also use the keyword `AS` to rename output. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + AS monthlySalary + FROM employee; + ``` + - + - ### Keyword `DISTINCT` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-08T12:11:42.208Z + card-last-reviewed:: 2022-10-04T12:11:42.208Z + card-last-score:: 5 + - The keyword `DISTINCT` automatically removes duplicates from the returned result set. + - We should be careful of using with large result sets as it can be an expensive operation to perform (not a problem for our small examples). + - ```sql + SELECT DISTINCT salary + FROM employee; + ``` + - ### Selecting All Attribute Values for Selected Tuples #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:41:26.643Z + card-last-reviewed:: 2022-10-07T10:41:26.644Z + card-last-score:: 5 + - To retrieve all attribute values of selected tuples, you do not have to explicitly list all the attribute names - instead, you can use ```SELECT *```. + - ### New Operators + - `BETWEEN` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-07T14:32:09.742Z + card-last-reviewed:: 2022-10-03T14:32:09.742Z + card-last-score:: 5 + - The `BETWEEN` operator selects values within a given range. The values can be numbers, texts, or dates. + - ```sql + SELECT + FROM
+ WHERE BETWEEN AND ; + ``` + - `IN` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-08T12:13:54.146Z + card-last-reviewed:: 2022-10-04T12:13:54.147Z + card-last-score:: 3 + - The `IN` operator tests if a data value matches one of a list of values. + - It is a shorthand for multiple `OR` conditions. + - ```sql + SELECT + FROM + WHERE IN (, , ...); + + -- OR -- + + SELECT + FROM + WHERE IN (SELECT ); + ``` + - `LIKE` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-07T14:32:24.042Z + card-last-reviewed:: 2022-10-03T14:32:24.042Z + card-last-score:: 5 + - Allows string comparison, when equality is too strict. + - There are 2 wildcards, often used in conjunction with the `LIKE` operator: + - The percent sign `%` represents zero, one, or multiple characters. + - The underscore sign `_` represents one, single character. + - ```sql + SELECT + FROM + WHERE LIKE ; + ``` + - `IS NULL` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-08T12:02:33.190Z + card-last-reviewed:: 2022-10-04T12:02:33.191Z + card-last-score:: 5 + - Allows an explicit search for `NULL`. + - + - + - ### Set Operators + - `UNION` + - `INTERSECTION` + - `MINUS / DIFFERENCE` +- +- +- ```SQL + SELECT full_name, ssn FROM ( + SELECT ssn, CONCAT(fname, " ", minit, " ", lname) + AS full_name from employee) AS dtable + WHERE full_name IN ("John B Smith", "James E Borg", "Joyce A English"); + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML%3A SELECT/2022-11-23T09_22_44.506Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML%3A SELECT/2022-11-23T09_22_44.506Z.Desktop.md new file mode 100644 index 00000000..942c0c59 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML%3A SELECT/2022-11-23T09_22_44.506Z.Desktop.md @@ -0,0 +1,192 @@ +title:: SQL DML: SELECT + +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[SQL DML Statement]] +- **Next Topic:** [[SQL SELECT: Working with Strings & Subqueries]] +- **Relevant Slides:** ![Topic 4_DML_SQL_part1.pdf](../assets/Topic_4_DML_SQL_part1_1663680318777_0.pdf) +- +- # Notes on Syntax + - While SQL is case insensitive, Linux ^^is not.^^ + - web1.cs.nuigalway.ie is a ^^linux server^^, so we need to be careful with table names in particular, as `EMPLOYEE` is ^^not the same thing^^ as `employee`. + - Attribute names are separated by commas. + - Strings are enclosed in quotes. + - Numbers are not enclosed in quotes. + - + - Usually, SQL keywords are capitalised while table & keyword names are mostly kept in lowercase unless using camelCase instead of snake_case. + - Code should be organised horizontally & vertically, and not all written on one line. + - Code blocks are separated by a semicolon. + - Comments can be made using `#`, `--`, & `/* */`. +- +- # **CRUD** Operations in DML + - What are **CRUD** Operations? #card + card-last-interval:: 7.44 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-22T02:35:29.285Z + card-last-reviewed:: 2022-11-14T16:35:29.286Z + card-last-score:: 3 + - **CRUD** operations are the 4 basic functions that we may wish to perform on *persistent* data. + - **Create:** insert a new tuple. `INSERT` + - **Read:** retrieve some data. `SELECT` + - **Update:** modify some data. `Update` + - **Delete:** delete some data or a tuple. `DELETE` + - ## Read: `SELECT` + - The basic syntax for an SQL select query to *read* data consists of 6 clauses. #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:06:00.414Z + card-last-reviewed:: 2022-11-14T20:06:00.414Z + card-last-score:: 3 + - ```sql + SELECT [DISTINCT] + FROM
+ WHERE + GROUP BY + HAVING + ORDER BY + ``` + - The order of these clauses ^^cannot be changed.^^ + - `SELECT` & `FROM` are ^^always required^^, other clauses are optional. + - ### `SELECT FROM
WHERE ` #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:02:59.521Z + card-last-score:: 1 + - `` is a list of **attribute** (column) names (separated by commas) whose values will be retrieved by the query. + - `
` is a list of table names (separated by commas) containing the attributes. + - `` is a **Boolean** expression that identifies the tuples to be retrieved by the query. + - For each **tuple** (row) in the table(s) which are part of the query: + - the tuple is checked to see if the condition is **true** for this tuple. + - If **true**, the tuple **is** part of the output. + - If **false**, the tuple is **not** part of the output. + - The comparison operators are: + - `=` `<=` `<` `>` `>=` `!=` + - Conditions can be compounded by use of Boolean `AND`, `OR`, and can be negated with `NOT`. + - ^^Note:^^ In some versions of SQL, (e.g., in MS), the `!=` operator is written as `<>`. + - ### Calculated or Derived Fields #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-15T16:48:00.918Z + card-last-reviewed:: 2022-11-17T09:48:00.918Z + card-last-score:: 5 + - We can specify an SQL expression in the `SELECT` clause which can involve **numerical operations** on **numeric** fields and **counting operations** on **non-numeric** fields. + - e.g., + - ```sql + SELECT ssn, salary/12 FROM employee; + ``` + - ### Tidying Up the Output #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:05:40.995Z + card-last-reviewed:: 2022-11-14T20:05:40.995Z + card-last-score:: 3 + - We can use keywords `CAST`, `AS`, & `DECIMAL(x, y)` to specify the total number of digits `x` and the number of digits after the decimal point `y` when we're working with **real numbers**. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + FROM employee; + ``` + - We can also use the keyword `AS` to rename output. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + AS monthlySalary + FROM employee; + ``` + - + - ### Keyword `DISTINCT` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-21T00:50:05.938Z + card-last-reviewed:: 2022-11-17T09:50:05.938Z + card-last-score:: 5 + - The keyword `DISTINCT` automatically removes duplicates from the returned result set. + - We should be careful of using with large result sets as it can be an expensive operation to perform (not a problem for our small examples). + - ```sql + SELECT DISTINCT salary + FROM employee; + ``` + - ### Selecting All Attribute Values for Selected Tuples #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-25T20:36:38.405Z + card-last-reviewed:: 2022-11-14T16:36:38.405Z + card-last-score:: 5 + - To retrieve all attribute values of selected tuples, you do not have to explicitly list all the attribute names - instead, you can use ```SELECT *```. + - ### New Operators + - `BETWEEN` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:07:12.625Z + card-last-reviewed:: 2022-11-14T20:07:12.625Z + card-last-score:: 5 + - The `BETWEEN` operator selects values within a given range. The values can be numbers, texts, or dates. + - ```sql + SELECT + FROM
+ WHERE BETWEEN AND ; + ``` + - `IN` #card + card-last-interval:: 24.2 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-11T13:48:17.496Z + card-last-reviewed:: 2022-11-17T09:48:17.496Z + card-last-score:: 3 + - The `IN` operator tests if a data value matches one of a list of values. + - It is a shorthand for multiple `OR` conditions. + - ```sql + SELECT + FROM + WHERE IN (, , ...); + + -- OR -- + + SELECT + FROM + WHERE IN (SELECT ); + ``` + - `LIKE` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:07:20.197Z + card-last-reviewed:: 2022-11-14T20:07:20.198Z + card-last-score:: 5 + - Allows string comparison, when equality is too strict. + - There are 2 wildcards, often used in conjunction with the `LIKE` operator: + - The percent sign `%` represents zero, one, or multiple characters. + - The underscore sign `_` represents one, single character. + - ```sql + SELECT + FROM + WHERE LIKE ; + ``` + - `IS NULL` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-21T00:49:58.730Z + card-last-reviewed:: 2022-11-17T09:49:58.730Z + card-last-score:: 5 + - Allows an explicit search for `NULL`. + - + - + - ### Set Operators + - `UNION` + - `INTERSECTION` + - `MINUS / DIFFERENCE` +- +- +- ```SQL + SELECT full_name, ssn FROM ( + SELECT ssn, CONCAT(fname, " ", minit, " ", lname) + AS full_name from employee) AS dtable + WHERE full_name IN ("John B Smith", "James E Borg", "Joyce A English"); + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML%3A SELECT/2022-11-23T12_15_36.872Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML%3A SELECT/2022-11-23T12_15_36.872Z.Desktop.md new file mode 100644 index 00000000..942c0c59 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/SQL DML%3A SELECT/2022-11-23T12_15_36.872Z.Desktop.md @@ -0,0 +1,192 @@ +title:: SQL DML: SELECT + +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[SQL DML Statement]] +- **Next Topic:** [[SQL SELECT: Working with Strings & Subqueries]] +- **Relevant Slides:** ![Topic 4_DML_SQL_part1.pdf](../assets/Topic_4_DML_SQL_part1_1663680318777_0.pdf) +- +- # Notes on Syntax + - While SQL is case insensitive, Linux ^^is not.^^ + - web1.cs.nuigalway.ie is a ^^linux server^^, so we need to be careful with table names in particular, as `EMPLOYEE` is ^^not the same thing^^ as `employee`. + - Attribute names are separated by commas. + - Strings are enclosed in quotes. + - Numbers are not enclosed in quotes. + - + - Usually, SQL keywords are capitalised while table & keyword names are mostly kept in lowercase unless using camelCase instead of snake_case. + - Code should be organised horizontally & vertically, and not all written on one line. + - Code blocks are separated by a semicolon. + - Comments can be made using `#`, `--`, & `/* */`. +- +- # **CRUD** Operations in DML + - What are **CRUD** Operations? #card + card-last-interval:: 7.44 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-22T02:35:29.285Z + card-last-reviewed:: 2022-11-14T16:35:29.286Z + card-last-score:: 3 + - **CRUD** operations are the 4 basic functions that we may wish to perform on *persistent* data. + - **Create:** insert a new tuple. `INSERT` + - **Read:** retrieve some data. `SELECT` + - **Update:** modify some data. `Update` + - **Delete:** delete some data or a tuple. `DELETE` + - ## Read: `SELECT` + - The basic syntax for an SQL select query to *read* data consists of 6 clauses. #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:06:00.414Z + card-last-reviewed:: 2022-11-14T20:06:00.414Z + card-last-score:: 3 + - ```sql + SELECT [DISTINCT] + FROM
+ WHERE + GROUP BY + HAVING + ORDER BY + ``` + - The order of these clauses ^^cannot be changed.^^ + - `SELECT` & `FROM` are ^^always required^^, other clauses are optional. + - ### `SELECT FROM
WHERE ` #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:02:59.521Z + card-last-score:: 1 + - `` is a list of **attribute** (column) names (separated by commas) whose values will be retrieved by the query. + - `
` is a list of table names (separated by commas) containing the attributes. + - `` is a **Boolean** expression that identifies the tuples to be retrieved by the query. + - For each **tuple** (row) in the table(s) which are part of the query: + - the tuple is checked to see if the condition is **true** for this tuple. + - If **true**, the tuple **is** part of the output. + - If **false**, the tuple is **not** part of the output. + - The comparison operators are: + - `=` `<=` `<` `>` `>=` `!=` + - Conditions can be compounded by use of Boolean `AND`, `OR`, and can be negated with `NOT`. + - ^^Note:^^ In some versions of SQL, (e.g., in MS), the `!=` operator is written as `<>`. + - ### Calculated or Derived Fields #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-15T16:48:00.918Z + card-last-reviewed:: 2022-11-17T09:48:00.918Z + card-last-score:: 5 + - We can specify an SQL expression in the `SELECT` clause which can involve **numerical operations** on **numeric** fields and **counting operations** on **non-numeric** fields. + - e.g., + - ```sql + SELECT ssn, salary/12 FROM employee; + ``` + - ### Tidying Up the Output #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:05:40.995Z + card-last-reviewed:: 2022-11-14T20:05:40.995Z + card-last-score:: 3 + - We can use keywords `CAST`, `AS`, & `DECIMAL(x, y)` to specify the total number of digits `x` and the number of digits after the decimal point `y` when we're working with **real numbers**. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + FROM employee; + ``` + - We can also use the keyword `AS` to rename output. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + AS monthlySalary + FROM employee; + ``` + - + - ### Keyword `DISTINCT` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-21T00:50:05.938Z + card-last-reviewed:: 2022-11-17T09:50:05.938Z + card-last-score:: 5 + - The keyword `DISTINCT` automatically removes duplicates from the returned result set. + - We should be careful of using with large result sets as it can be an expensive operation to perform (not a problem for our small examples). + - ```sql + SELECT DISTINCT salary + FROM employee; + ``` + - ### Selecting All Attribute Values for Selected Tuples #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-25T20:36:38.405Z + card-last-reviewed:: 2022-11-14T16:36:38.405Z + card-last-score:: 5 + - To retrieve all attribute values of selected tuples, you do not have to explicitly list all the attribute names - instead, you can use ```SELECT *```. + - ### New Operators + - `BETWEEN` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:07:12.625Z + card-last-reviewed:: 2022-11-14T20:07:12.625Z + card-last-score:: 5 + - The `BETWEEN` operator selects values within a given range. The values can be numbers, texts, or dates. + - ```sql + SELECT + FROM
+ WHERE BETWEEN AND ; + ``` + - `IN` #card + card-last-interval:: 24.2 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-11T13:48:17.496Z + card-last-reviewed:: 2022-11-17T09:48:17.496Z + card-last-score:: 3 + - The `IN` operator tests if a data value matches one of a list of values. + - It is a shorthand for multiple `OR` conditions. + - ```sql + SELECT + FROM + WHERE IN (, , ...); + + -- OR -- + + SELECT + FROM + WHERE IN (SELECT ); + ``` + - `LIKE` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:07:20.197Z + card-last-reviewed:: 2022-11-14T20:07:20.198Z + card-last-score:: 5 + - Allows string comparison, when equality is too strict. + - There are 2 wildcards, often used in conjunction with the `LIKE` operator: + - The percent sign `%` represents zero, one, or multiple characters. + - The underscore sign `_` represents one, single character. + - ```sql + SELECT + FROM + WHERE LIKE ; + ``` + - `IS NULL` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-21T00:49:58.730Z + card-last-reviewed:: 2022-11-17T09:49:58.730Z + card-last-score:: 5 + - Allows an explicit search for `NULL`. + - + - + - ### Set Operators + - `UNION` + - `INTERSECTION` + - `MINUS / DIFFERENCE` +- +- +- ```SQL + SELECT full_name, ssn FROM ( + SELECT ssn, CONCAT(fname, " ", minit, " ", lname) + AS full_name from employee) AS dtable + WHERE full_name IN ("John B Smith", "James E Borg", "Joyce A English"); + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/SQL SELECT%3A Working with Strings & Subqueries/2022-10-07T08_33_33.385Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/SQL SELECT%3A Working with Strings & Subqueries/2022-10-07T08_33_33.385Z.Desktop.md new file mode 100644 index 00000000..51bf232c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/SQL SELECT%3A Working with Strings & Subqueries/2022-10-07T08_33_33.385Z.Desktop.md @@ -0,0 +1,176 @@ +title:: SQL SELECT: Working with Strings & Subqueries + +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[SQL DML: SELECT]] +- **Next Topic:** [[Aggregate Clauses, Group By, & Having Clauses]] +- **Relevant Slides:** ![Topic 5 DML SELECT strings and subqueries.pdf](../assets/Topic_5_DML_SELECT_strings_and_subqueries_1664273683998_0.pdf) +- +- # Keywords to Modify Output + collapsed:: true + - `AS` #card + card-last-interval:: 3.84 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-04T04:35:09.854Z + card-last-reviewed:: 2022-09-30T08:35:09.854Z + card-last-score:: 5 + - Used to rename any output in `SELECT`. + - Can also be used to **alias** (rename) tables in `FROM`. + - `CONCAT` #card + card-last-interval:: 3.84 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-04T04:35:38.942Z + card-last-reviewed:: 2022-09-30T08:35:38.943Z + card-last-score:: 5 + - Used to **concatenate** strings. + - Similar usage to other programming languages. + - ```sql + SELECT + CONCAT(fname, ' ', minit, ' ', lname) AS Name + FROM + employee + WHERE + salary BETWEEN 50000 AND 80000 + ORDER BY + lname; + ``` + - `CAST` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-10T09:41:34.715Z + card-last-reviewed:: 2022-10-06T09:41:34.715Z + card-last-score:: 5 + - `CAST( AS ())` + - Used to cast to another datatype. + - `ORDER BY` #card + card-last-interval:: 3.84 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-04T04:33:14.020Z + card-last-reviewed:: 2022-09-30T08:33:14.021Z + card-last-score:: 5 + - `ORDER BY `. + - Allows the results of a query to be ordered by values of one or more attributes. + - Either **ascending** `ASC` or **descending** `DESC` - ascending by default. + - Must be the *last* clause of a `SELECT` statement. +- # `TOP` & `LIMIT` #card + collapsed:: true + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T08:27:15.652Z + card-last-reviewed:: 2022-09-30T08:27:15.653Z + card-last-score:: 3 + - The `SELECT TOP ` clause is used to specify the number of tuples (N) to return, but it is not supported by MySQL. + - Instead, MySQL supports a `LIMIT ` clause which has the same functionality. + - The `LIMIT` clause is listed at the end of the query, + - Example: List the employees with the top 3 salaries. + - ```sql + SELECT + ssn, CONCAT(fname, ' ', lname) as Name, salary + FROM + employee + ORDER BY + salary DESC + LIMIT 4; + ``` +- # Strings + - ## Note: 'Single' & "Double" Quotes #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T08:31:27.523Z + card-last-reviewed:: 2022-09-30T08:31:27.524Z + card-last-score:: 3 + - MySQL usually allows single & double quotes to be used interchangably. + - Generally, single quotes should be used for strings (`varchar()`, `text`, etc.). + - ### How to Deal with Apostrophes in Strings #card + card-last-interval:: 3.84 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-04T04:37:36.014Z + card-last-reviewed:: 2022-09-30T08:37:36.015Z + card-last-score:: 5 + - You have to be careful with apostrophes in strings, as an opening quote could be accidentally closed by an apostrophe. ^^Could this be avoided with double quotes?^^ + - To overcome this, if there is an apostrophe in a string, it should be replaced by **two** apostrophes side-by-side `''` (this is a general rule for all special characters - have two of the character) or escape it with `\`. + - Example: Select the salary for the employee with surname O'Grady. + - ```SQL + SELECT salary + FROM employee + WHERE lname = 'O''Grady'; + ``` + - We must also take care when inserting string data using `INSERT INTO`. + - ## Working with Strings & Pattern Matching #card + card-last-interval:: 3.58 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-03T21:36:10.723Z + card-last-reviewed:: 2022-09-30T08:36:10.723Z + card-last-score:: 3 + - SQL is case insensitive (apart from table names if on a Linux server). + - Case insensitivity generally applies to string searching. + - However, *often* when working with strings we do not look for an exact match (i.e., an exact match using `=`). + - To support partial matching, we often use **pattern-matching characters** and `LIKE` with wildcard characters `%` and `_`. + - `%` represents 0 or more characters. + - `_` Represents a single character. + - ### Regex + - We can use regex for more complicated string matching. + - ```sql + SELECT + FROM + WHERE REGEXP + ``` + - `^` Matches position at the **beginning** of the searched string. + - `$` Matches position at the **end** of the searched string. + - `[]` Matches any character inside the square brackets. + - `[^]` Matches any character **not** inside the square brackets. + - `*` Matches preceeding character 0 or more times. + - `+` Matches preceeding character 1 or more times. + - `|` OR. + - `{n}` Matches preceeding character n number of times. +- # How to Access Data Across Multiple Tables? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-03T08:38:15.653Z + card-last-reviewed:: 2022-09-29T08:38:15.654Z + card-last-score:: 3 + - There are 3 potential approaches: + - Joins. + - Subqueries. + - Union queries. + - ## Subqueries #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-03T08:38:00.179Z + card-last-reviewed:: 2022-09-29T08:38:00.180Z + card-last-score:: 5 + - A **subquery** (also called a **nested** query)is a query with another query. + - The subquery *usually* returns data that will be used in the main query. + - Data returned from the subquery may be a **set of values** or a **single value**. + - Subqueries can be used with the `SELECT`, `INSERT`, `UPDATE`, and `DELETE` statements. + - ![image.png](../assets/image_1664275471660_0.png) + - The `SELECT` statement that contains a subquery is called an **outer query**. + - ### Connecting Inner & Outer Queries #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-10T09:41:09.977Z + card-last-reviewed:: 2022-10-06T09:41:09.977Z + card-last-score:: 3 + - If a subquery returns only **one value** then we can use operators such as `=`, `!=`. `>`, `>=`, `<`, `<=`. + - If a subquery *could* return **more than one value** (i.e., a list of values), then we need connectors such as `IN`, `ANY`, `ALL` to check through the values of the subquery. + - The keyword `NOT` can also be used where appropriate. + - These connectors are generally used with basic algebraic operators: `=`, `!=`. `>`, `>=`, `<`, `<=`. + - `ALL` - the condition is true if the comparison is true for **every** (all) values returned by the subquery. + - `ANY` - the condition is true if the comparison is true for **at least one** (any) value returned by the subquery. + - `IN` - the condition is true if the comparison is true for **at least one** value returned by the subquery, i.e., a value IN the subquery. + - `IN` checks for equality - it can be used for a list of values or a single value - it does not require any additional algebraic operator. + - In addition, we can have a more general condition using: + - `EXISTS` - True if there exists at least one value in the result from a subquery. + - `NOT EXISTS` - True if there is nothing in the result from a subquery (i.e., it is empty). + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/SQL SELECT%3A Working with Strings & Subqueries/2022-10-20T09_05_57.997Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/SQL SELECT%3A Working with Strings & Subqueries/2022-10-20T09_05_57.997Z.Desktop.md new file mode 100644 index 00000000..3a07a497 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/SQL SELECT%3A Working with Strings & Subqueries/2022-10-20T09_05_57.997Z.Desktop.md @@ -0,0 +1,175 @@ +title:: SQL SELECT: Working with Strings & Subqueries + +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[SQL DML: SELECT]] +- **Next Topic:** [[Aggregate Clauses, Group By, & Having Clauses]] +- **Relevant Slides:** ![Topic 5 DML SELECT strings and subqueries.pdf](../assets/Topic_5_DML_SELECT_strings_and_subqueries_1664273683998_0.pdf) +- +- # Keywords to Modify Output + - `AS` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:23:11.128Z + card-last-reviewed:: 2022-10-07T10:23:11.128Z + card-last-score:: 5 + - Used to rename any output in `SELECT`. + - Can also be used to **alias** (rename) tables in `FROM`. + - `CONCAT` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:19:42.824Z + card-last-reviewed:: 2022-10-07T10:19:42.824Z + card-last-score:: 5 + - Used to **concatenate** strings. + - Similar usage to other programming languages. + - ```sql + SELECT + CONCAT(fname, ' ', minit, ' ', lname) AS Name + FROM + employee + WHERE + salary BETWEEN 50000 AND 80000 + ORDER BY + lname; + ``` + - `CAST` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-10T09:41:34.715Z + card-last-reviewed:: 2022-10-06T09:41:34.715Z + card-last-score:: 5 + - `CAST( AS ())` + - Used to cast to another datatype. + - `ORDER BY` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:46:27.067Z + card-last-reviewed:: 2022-10-07T10:46:27.067Z + card-last-score:: 5 + - `ORDER BY `. + - Allows the results of a query to be ordered by values of one or more attributes. + - Either **ascending** `ASC` or **descending** `DESC` - ascending by default. + - Must be the *last* clause of a `SELECT` statement. +- # `TOP` & `LIMIT` #card + card-last-interval:: 2.98 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T14:33:31.957Z + card-last-reviewed:: 2022-10-08T15:33:31.957Z + card-last-score:: 5 + - The `SELECT TOP ` clause is used to specify the number of tuples (N) to return, but it is not supported by MySQL. + - Instead, MySQL supports a `LIMIT ` clause which has the same functionality. + - The `LIMIT` clause is listed at the end of the query, + - Example: List the employees with the top 3 salaries. + - ```sql + SELECT + ssn, CONCAT(fname, ' ', lname) as Name, salary + FROM + employee + ORDER BY + salary DESC + LIMIT 4; + ``` +- # Strings + - ## Note: 'Single' & "Double" Quotes #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-10T17:28:54.996Z + card-last-reviewed:: 2022-10-06T17:28:54.996Z + card-last-score:: 3 + - MySQL usually allows single & double quotes to be used interchangably. + - Generally, single quotes should be used for strings (`varchar()`, `text`, etc.). + - ### How to Deal with Apostrophes in Strings #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-10T20:21:24.428Z + card-last-reviewed:: 2022-10-06T17:21:24.429Z + card-last-score:: 5 + - You have to be careful with apostrophes in strings, as an opening quote could be accidentally closed by an apostrophe. ^^Could this be avoided with double quotes?^^ + - To overcome this, if there is an apostrophe in a string, it should be replaced by **two** apostrophes side-by-side `''` (this is a general rule for all special characters - have two of the character) or escape it with `\`. + - Example: Select the salary for the employee with surname O'Grady. + - ```SQL + SELECT salary + FROM employee + WHERE lname = 'O''Grady'; + ``` + - We must also take care when inserting string data using `INSERT INTO`. + - ## Working with Strings & Pattern Matching #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T17:19:45.426Z + card-last-reviewed:: 2022-10-06T17:19:45.426Z + card-last-score:: 5 + - SQL is case insensitive (apart from table names if on a Linux server). + - Case insensitivity generally applies to string searching. + - However, *often* when working with strings we do not look for an exact match (i.e., an exact match using `=`). + - To support partial matching, we often use **pattern-matching characters** and `LIKE` with wildcard characters `%` and `_`. + - `%` represents 0 or more characters. + - `_` Represents a single character. + - ### Regex + - We can use regex for more complicated string matching. + - ```sql + SELECT + FROM + WHERE REGEXP + ``` + - `^` Matches position at the **beginning** of the searched string. + - `$` Matches position at the **end** of the searched string. + - `[]` Matches any character inside the square brackets. + - `[^]` Matches any character **not** inside the square brackets. + - `*` Matches preceeding character 0 or more times. + - `+` Matches preceeding character 1 or more times. + - `|` OR. + - `{n}` Matches preceeding character n number of times. +- # Accessing Data Across Multiple Tables + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-10-11T03:36:21.816Z + card-last-interval:: 3.71 + card-ease-factor:: 2.46 + card-last-reviewed:: 2022-10-07T10:36:21.817Z + - What methods can you use for accessing data across multiple tables? #card + - There are 3 potential approaches: + - Joins. + - Subqueries. + - Union queries. + - ## Subqueries #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-11T10:36:16.216Z + card-last-reviewed:: 2022-10-07T10:36:16.216Z + card-last-score:: 5 + - A **subquery** (also called a **nested** query)is a query with another query. + - The subquery *usually* returns data that will be used in the main query. + - Data returned from the subquery may be a **set of values** or a **single value**. + - Subqueries can be used with the `SELECT`, `INSERT`, `UPDATE`, and `DELETE` statements. + - ![image.png](../assets/image_1664275471660_0.png) + - The `SELECT` statement that contains a subquery is called an **outer query**. + - ### Connecting Inner & Outer Queries #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-10T09:41:09.977Z + card-last-reviewed:: 2022-10-06T09:41:09.977Z + card-last-score:: 3 + - If a subquery returns only **one value** then we can use operators such as `=`, `!=`. `>`, `>=`, `<`, `<=`. + - If a subquery *could* return **more than one value** (i.e., a list of values), then we need connectors such as `IN`, `ANY`, `ALL` to check through the values of the subquery. + - The keyword `NOT` can also be used where appropriate. + - These connectors are generally used with basic algebraic operators: `=`, `!=`. `>`, `>=`, `<`, `<=`. + - `ALL` - the condition is true if the comparison is true for **every** (all) values returned by the subquery. + - `ANY` - the condition is true if the comparison is true for **at least one** (any) value returned by the subquery. + - `IN` - the condition is true if the comparison is true for **at least one** value returned by the subquery, i.e., a value IN the subquery. + - `IN` checks for equality - it can be used for a list of values or a single value - it does not require any additional algebraic operator. + - In addition, we can have a more general condition using: + - `EXISTS` - True if there exists at least one value in the result from a subquery. + - `NOT EXISTS` - True if there is nothing in the result from a subquery (i.e., it is empty). + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Sampling Distributions & Confidence Intervals/2022-11-11T12_04_45.376Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling Distributions & Confidence Intervals/2022-11-11T12_04_45.376Z.Desktop.md new file mode 100644 index 00000000..acbf7a46 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling Distributions & Confidence Intervals/2022-11-11T12_04_45.376Z.Desktop.md @@ -0,0 +1,82 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[The Normal Distribution]] +- **Next Topic:** [[Hypothesis Testing]] +- **Relevant Slides:** ![Lecture 8- Sampling dist. and Confidence Intervals(1).pdf](../assets/Lecture_8-_Sampling_dist._and_Confidence_Intervals(1)_1666624233800_0.pdf) +- +- # Probability & Statistics + - In Probability theory, we consider some **known process** which has some randomness or uncertainty. + - We model the outcomes by random variables, and we figure out the probabilities of what will happen. + - There is one correct answer to any probability question. + - In Statistical Inference, we observe something that has happened, and try to figure out what underlying process would explain those observations. + - The basic aim behind all statistical methods is to make inferences about a population by studying a relatively small sample from it. + - Probability is the engine that drives all statistical modelling, data analysis, & inference. +- # Sampling Distributions + - The probability distribution of a **statistic** is called a **sampling** distribution. + - Sampling distributions arise because samples vary. + - Each random sample will have a different value of the statistic. +- # The Central Limit Theorem #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:46:05.854Z + card-last-score:: 1 + id:: 6356abee-cb6a-48c5-8f8b-72122b6099eb + - The sampling distribution of *any* mean becomes more nearly Normal as the sample size grows. + - Observations must be independent. + - The shape of the population distribution doesn't matter. + - What is the **Central Limit Theorem**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:38:59.550Z + card-last-score:: 1 + - The **Central Limit Theorem** states that a sample means follow a Normal distribution centred on the population mean with a standard deviation divided by the square root of the sample size. + - $$\bar X \sim N (\mu, \frac{\sigma^2}{n})$$ + - The CLT depends crucially on the **assumption of independence**. + - ## The Standard Error + - The **Standard Error** is a measure of the variability in the sampling distribution (i.e., how do sample statistics vary about the unknown population parameter they are trying to estimate). + - It describes the typical "error" or "uncertainty" associated with the estimate. + - $$SE = \frac{\sigma}{\sqrt{n}}$$ + - ### Interval Estimation for $\mu$ + - Use the CLT to provide a range of values that will capture 95% of sample means. + - In repeated sampling, 95% of intervals calculated in this manner will contain the true mean $\mu$. + - $$\bar{x} \pm 1.96 \times \frac{\sigma}{\sqrt{n}}$$ +- # Confidence Intervals + - The population mean $\mu$ is **fixed**. + - The intervals from different samples are **random**. + - From our single sample, we only observe one of the intervals. + - Our interval may or may not contain the true mean. + - If we had taken many samples, and calculated the 95% CI for each, 95% of them would include the true mean. + - We say that we are "95% confident" that the interval contains the true mean. + - A **point estimate** (i.e., a statistic) is a single plausible value for a parameter. + - A point estimate is rarely perfect, usually there is some error in the estimate. + - Instead of supplying just a point estimate of a parameter, a next logical step would be to provide a plausible range of values for the parameter. + - To do this, an estimate of the precision of the sample statistic (i.e., the estimate) is needed. +- # The t-distribution + - In practice, we cannot directly calculate the standard error for $\bar x$ since we do not know the population standard deviation, $\sigma$. + - We can use the sample standard deviation $s$ in place of $\sigma$ for computing the standard error of $\bar x$: + - $$SE = \frac{\sigma}{\sqrt{n}} \approx \frac{s}{\sqrt{n}}$$ + - This strategy tends to work well when we have a lot of data and can estimate $\sigma$ using $s$ accurately. However, this estimate is less precise with smaller samples, and this leads to problems when using the normal distribution to model $\bar x$. + - Enter a new distribution for inference calculations called the **t-distribution**. + - A **t-distribution** has a bell shape, but its tails are thicker than the Normal Distribution's, meaning that observations are more likely to fall beyond two standard deviations from the mean than under the Normal Distribution. + - The extra-thick tails of the t-distribution are exactly the correction needed to resolve the problem of using $s$ in place of $\sigma$ in the $SE$ calculation. + - ![image.png](../assets/image_1668111313285_0.png) + - The t-distribution is always centred at zero and has a single parameter: **degrees of freedom**. + - What are **degrees of freedom**? #card + - The **degrees of freedom** ($df$) describes the precise form of the bell-shaped t-distribution. + - In general, $df = n -1$ where $n$ is the sample size. + - That is, when we have more observation, the degrees of freedom will be larger and the t-distribution will look more the standard normal distribution. + - When $df \geq 30$, the t-distribution is nearly indistinguishable from the normal distribution. +- # The Bootstrap + - We can quantify the variability of sample statistics using theory, e.g. ((6356abee-cb6a-48c5-8f8b-72122b6099eb)), or by **simulation** via **bootstrapping**. + - ## Bootstrapping Scheme #card + - 1. Take a **bootstrap sample** - a random sample taken **with replacement** from the original sample, of the same size as the original sample. + 2. Calculate the bootstrap statistic - a statistic such as mean, median, proportiion, etc., computed on the bootstrap samples. + 3. Repeat steps 1. & 2. many times to create a bootstrap distribution - a distribution of bootstrap statistics. + 4. Calculate the bounds of the XX% confidence interval as the middle of the XX% of the bootstrap distribution. +- # Theorem 9.2 + - If $\bar x$ is used as an estimate of $\mu$, we can be $100(1 - \alpha)%$ confident that the error will not exceed a specified amount $e$ when the sample size is + - $$n = \left(\frac{z_\alpha / 2^\sigma}{e} \right)^2$$ +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-09-30T10_01_42.381Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-09-30T10_01_42.381Z.Desktop.md new file mode 100644 index 00000000..c861d989 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-09-30T10_01_42.381Z.Desktop.md @@ -0,0 +1,100 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Exploratory Data Analysis]] +- **Next Topic:** [[Probability]] +- **Relevant Slides:** ![Topic 3 - Sampling.pdf](../assets/Topic_3_-_Sampling_1663599787566_0.pdf) +- +- What is a **Parameter**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:03:31.423Z + card-last-score:: 1 + - A **parameter** is a single value summarising some feature or variable of interest in the population. + - It is usually unknown. +- What is **inference**? #card + card-last-interval:: 4.86 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-24T13:58:35.788Z + card-last-reviewed:: 2022-09-19T17:58:35.789Z + card-last-score:: 5 + - **Inference** is the process of making decisions about a population based on information in a sample. +- A consequence of **natural variation** is that two samples drawn form the same population will usually give different estimates of the population parameters. +- +- # Sampling + collapsed:: true + - What is **non-probabilistic sampling**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T17:51:31.085Z + card-last-score:: 1 + - **Non-probabilistic sampling** methods are techniques of obtaining a sample that is not chosen at random and may be subject to **sampling bias**. + - ## Simple Random Sample + - ### Difficulties: + - Obtaining a sampling frame (list of all experimental units). + - Possibly time consuming / expensive. + - Minority groups, by chance, may not be represented in the sample. + - ## Stratified Random Sampling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-26T23:00:00.000Z + card-last-reviewed:: 2022-09-26T12:16:41.996Z + card-last-score:: 1 + - 1. Split entire population into **homogeneous groups**, called **strata**. + 2. Take a Simple Random Sample from each stratum. + - ### Stratified VS Simple Random Sample + - Ensure representation from minority groups. + - Estimates of the population parameters per strata may be of interest. + - Possible reduction in cost per observation in the survey. + - Increased accuracy as reduced sampling error (less variation within a stratum). + - + - ### Difficulties + - Can you correctly allocate each individual to one & only one stratum? + - Should every group receive equal weight? + - What if some strata are more varied than others? + - Take into account mean, variance, and cost to get "optimal allocation". + - ## Cluster Sampling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-26T23:00:00.000Z + card-last-reviewed:: 2022-09-26T12:16:26.204Z + card-last-score:: 1 + - Instead of randomly choosing individuals, a Simple Random Sample of collection or groups of individuals is taken. + - The population is broken up into regions or groups, usually a *natural partition*, called a **cluster**. + - Internally heterogeneous, homogeneous between the clusters. + - Clusters are assumed representation of the entire population. + - Small number of clusters are selected at random. + - Every individual within a cluster is observed. + - + - ### Cluster Over Stratified + - Sampling frame not necessarily needed. + - May be more practical and / or economical than Simple or Stratified Random Sampling. + - Will be biased if the entire cluster is not sampled. + - Careful if homogeneity within a cluster and heterogeneity between clusters as this can increase sample error. + - **Note:** In stratified sampling, all strata are sampled, while in cluster sampling only some clusters are sampled. +- # Studies & Experiments + - ## Observational Studies & Experiments #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-26T23:00:00.000Z + card-last-reviewed:: 2022-09-26T12:12:25.456Z + card-last-score:: 1 + - In an **Observational Study**, data is collected only be *observing* what occurs. + - E.g., surveys, historical records. + - When researchers want to investigate **causal relationships**, it's best to conduct an experiment. + - Usually there will be both an explanatory variable & a response variable. + - Be wary of confounding variables. + - ## Designed (Comparative) Study + - An experiment allows us to prove a cause-and-effect relationship. + - The experimenter must identify: + - at least one **explanatory variable**, called a **factor** to manipulate. + - at least one **response** variable to measure. + - The experimenter must also control any other **nuisance factors** that could influence the response. + - e.g., weather, day of the week. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-10-07T18_07_00.028Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-10-07T18_07_00.028Z.Desktop.md new file mode 100644 index 00000000..14e66a5d --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-10-07T18_07_00.028Z.Desktop.md @@ -0,0 +1,100 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Exploratory Data Analysis]] +- **Next Topic:** [[Probability]] +- **Relevant Slides:** ![Topic 3 - Sampling.pdf](../assets/Topic_3_-_Sampling_1663599787566_0.pdf) +- +- What is a **Parameter**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-reviewed:: 2022-10-07T10:42:17.374Z + card-last-score:: 1 + - A **parameter** is a single value summarising some feature or variable of interest in the population. + - It is usually unknown. +- What is **inference**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-07T14:31:27.689Z + card-last-reviewed:: 2022-10-03T14:31:27.690Z + card-last-score:: 5 + - **Inference** is the process of making decisions about a population based on information in a sample. +- A consequence of **natural variation** is that two samples drawn form the same population will usually give different estimates of the population parameters. +- +- # Sampling + collapsed:: true + - What is **non-probabilistic sampling**? #card + card-last-interval:: 9.76 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T04:35:48.922Z + card-last-reviewed:: 2022-10-07T10:35:48.922Z + card-last-score:: 5 + - **Non-probabilistic sampling** methods are techniques of obtaining a sample that is not chosen at random and may be subject to **sampling bias**. + - ## Simple Random Sample + - ### Difficulties: + - Obtaining a sampling frame (list of all experimental units). + - Possibly time consuming / expensive. + - Minority groups, by chance, may not be represented in the sample. + - ## Stratified Random Sampling #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T09:40:03.399Z + card-last-reviewed:: 2022-10-06T09:40:03.400Z + card-last-score:: 3 + - 1. Split entire population into **homogeneous groups**, called **strata**. + 2. Take a Simple Random Sample from each stratum. + - ### Stratified VS Simple Random Sample + - Ensure representation from minority groups. + - Estimates of the population parameters per strata may be of interest. + - Possible reduction in cost per observation in the survey. + - Increased accuracy as reduced sampling error (less variation within a stratum). + - + - ### Difficulties + - Can you correctly allocate each individual to one & only one stratum? + - Should every group receive equal weight? + - What if some strata are more varied than others? + - Take into account mean, variance, and cost to get "optimal allocation". + - ## Cluster Sampling #card + card-last-interval:: 1.47 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-08T21:38:07.258Z + card-last-reviewed:: 2022-10-07T10:38:07.258Z + card-last-score:: 3 + - Instead of randomly choosing individuals, a Simple Random Sample of collection or groups of individuals is taken. + - The population is broken up into regions or groups, usually a *natural partition*, called a **cluster**. + - Internally heterogeneous, homogeneous between the clusters. + - Clusters are assumed representation of the entire population. + - Small number of clusters are selected at random. + - Every individual within a cluster is observed. + - + - ### Cluster Over Stratified + - Sampling frame not necessarily needed. + - May be more practical and / or economical than Simple or Stratified Random Sampling. + - Will be biased if the entire cluster is not sampled. + - Careful if homogeneity within a cluster and heterogeneity between clusters as this can increase sample error. + - **Note:** In stratified sampling, all strata are sampled, while in cluster sampling only some clusters are sampled. +- # Studies & Experiments + - ## Observational Studies & Experiments #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-reviewed:: 2022-10-07T10:38:47.387Z + card-last-score:: 1 + - In an **Observational Study**, data is collected only be *observing* what occurs. + - E.g., surveys, historical records. + - When researchers want to investigate **causal relationships**, it's best to conduct an experiment. + - Usually there will be both an explanatory variable & a response variable. + - Be wary of confounding variables. + - ## Designed (Comparative) Study + - An experiment allows us to prove a cause-and-effect relationship. + - The experimenter must identify: + - at least one **explanatory variable**, called a **factor** to manipulate. + - at least one **response** variable to measure. + - The experimenter must also control any other **nuisance factors** that could influence the response. + - e.g., weather, day of the week. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-10-10T11_59_52.472Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-10-10T11_59_52.472Z.Desktop.md new file mode 100644 index 00000000..fa1bdc82 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-10-10T11_59_52.472Z.Desktop.md @@ -0,0 +1,100 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Exploratory Data Analysis]] +- **Next Topic:** [[Probability]] +- **Relevant Slides:** ![Topic 3 - Sampling.pdf](../assets/Topic_3_-_Sampling_1663599787566_0.pdf) +- +- What is a **Parameter**? #card + card-last-interval:: 2.6 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T05:09:09.705Z + card-last-reviewed:: 2022-10-08T15:09:09.705Z + card-last-score:: 5 + - A **parameter** is a single value summarising some feature or variable of interest in the population. + - It is usually unknown. +- What is **inference**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-18T19:20:23.932Z + card-last-reviewed:: 2022-10-07T15:20:23.932Z + card-last-score:: 5 + - **Inference** is the process of making decisions about a population based on information in a sample. +- A consequence of **natural variation** is that two samples drawn form the same population will usually give different estimates of the population parameters. +- +- # Sampling + collapsed:: true + - What is **non-probabilistic sampling**? #card + card-last-interval:: 9.76 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T04:35:48.922Z + card-last-reviewed:: 2022-10-07T10:35:48.922Z + card-last-score:: 5 + - **Non-probabilistic sampling** methods are techniques of obtaining a sample that is not chosen at random and may be subject to **sampling bias**. + - ## Simple Random Sample + - ### Difficulties: + - Obtaining a sampling frame (list of all experimental units). + - Possibly time consuming / expensive. + - Minority groups, by chance, may not be represented in the sample. + - ## Stratified Random Sampling #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T09:40:03.399Z + card-last-reviewed:: 2022-10-06T09:40:03.400Z + card-last-score:: 3 + - 1. Split entire population into **homogeneous groups**, called **strata**. + 2. Take a Simple Random Sample from each stratum. + - ### Stratified VS Simple Random Sample + - Ensure representation from minority groups. + - Estimates of the population parameters per strata may be of interest. + - Possible reduction in cost per observation in the survey. + - Increased accuracy as reduced sampling error (less variation within a stratum). + - + - ### Difficulties + - Can you correctly allocate each individual to one & only one stratum? + - Should every group receive equal weight? + - What if some strata are more varied than others? + - Take into account mean, variance, and cost to get "optimal allocation". + - ## Cluster Sampling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-09T08:52:46.030Z + card-last-score:: 1 + - Instead of randomly choosing individuals, a Simple Random Sample of collection or groups of individuals is taken. + - The population is broken up into regions or groups, usually a *natural partition*, called a **cluster**. + - Internally heterogeneous, homogeneous between the clusters. + - Clusters are assumed representation of the entire population. + - Small number of clusters are selected at random. + - Every individual within a cluster is observed. + - + - ### Cluster Over Stratified + - Sampling frame not necessarily needed. + - May be more practical and / or economical than Simple or Stratified Random Sampling. + - Will be biased if the entire cluster is not sampled. + - Careful if homogeneity within a cluster and heterogeneity between clusters as this can increase sample error. + - **Note:** In stratified sampling, all strata are sampled, while in cluster sampling only some clusters are sampled. +- # Studies & Experiments + - ## Observational Studies & Experiments #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:24:45.845Z + card-last-score:: 1 + - In an **Observational Study**, data is collected only be *observing* what occurs. + - E.g., surveys, historical records. + - When researchers want to investigate **causal relationships**, it's best to conduct an experiment. + - Usually there will be both an explanatory variable & a response variable. + - Be wary of confounding variables. + - ## Designed (Comparative) Study + - An experiment allows us to prove a cause-and-effect relationship. + - The experimenter must identify: + - at least one **explanatory variable**, called a **factor** to manipulate. + - at least one **response** variable to measure. + - The experimenter must also control any other **nuisance factors** that could influence the response. + - e.g., weather, day of the week. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-10-20T09_05_58.001Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-10-20T09_05_58.001Z.Desktop.md new file mode 100644 index 00000000..214b7a61 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-10-20T09_05_58.001Z.Desktop.md @@ -0,0 +1,100 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Exploratory Data Analysis]] +- **Next Topic:** [[Probability]] +- **Relevant Slides:** ![Topic 3 - Sampling.pdf](../assets/Topic_3_-_Sampling_1663599787566_0.pdf) +- +- What is a **Parameter**? #card + card-last-interval:: 2.6 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-11T05:09:09.705Z + card-last-reviewed:: 2022-10-08T15:09:09.705Z + card-last-score:: 5 + - A **parameter** is a single value summarising some feature or variable of interest in the population. + - It is usually unknown. +- What is **inference**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-18T19:20:23.932Z + card-last-reviewed:: 2022-10-07T15:20:23.932Z + card-last-score:: 5 + - **Inference** is the process of making decisions about a population based on information in a sample. +- A consequence of **natural variation** is that two samples drawn form the same population will usually give different estimates of the population parameters. +- +- # Sampling + collapsed:: true + - What is **non-probabilistic sampling**? #card + card-last-interval:: 9.76 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T04:35:48.922Z + card-last-reviewed:: 2022-10-07T10:35:48.922Z + card-last-score:: 5 + - **Non-probabilistic sampling** methods are techniques of obtaining a sample that is not chosen at random and may be subject to **sampling bias**. + - ## Simple Random Sample + - ### Difficulties: + - Obtaining a sampling frame (list of all experimental units). + - Possibly time consuming / expensive. + - Minority groups, by chance, may not be represented in the sample. + - ## Stratified Random Sampling #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T09:40:03.399Z + card-last-reviewed:: 2022-10-06T09:40:03.400Z + card-last-score:: 3 + - 1. Split entire population into **homogeneous groups**, called **strata**. + 2. Take a Simple Random Sample from each stratum. + - ### Stratified VS Simple Random Sample + - Ensure representation from minority groups. + - Estimates of the population parameters per strata may be of interest. + - Possible reduction in cost per observation in the survey. + - Increased accuracy as reduced sampling error (less variation within a stratum). + - + - ### Difficulties + - Can you correctly allocate each individual to one & only one stratum? + - Should every group receive equal weight? + - What if some strata are more varied than others? + - Take into account mean, variance, and cost to get "optimal allocation". + - ## Cluster Sampling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-09T08:52:46.030Z + card-last-score:: 1 + - Instead of randomly choosing individuals, a Simple Random Sample of collection or groups of individuals is taken. + - The population is broken up into regions or groups, usually a *natural partition*, called a **cluster**. + - Internally heterogeneous, homogeneous between the clusters. + - Clusters are assumed representation of the entire population. + - Small number of clusters are selected at random. + - Every individual within a cluster is observed. + - + - ### Cluster Over Stratified + - Sampling frame not necessarily needed. + - May be more practical and / or economical than Simple or Stratified Random Sampling. + - Will be biased if the entire cluster is not sampled. + - Careful if homogeneity within a cluster and heterogeneity between clusters as this can increase sample error. + - **Note:** In stratified sampling, all strata are sampled, while in cluster sampling only some clusters are sampled. +- # Studies & Experiments + - ## Observational Studies & Experiments #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-13T21:37:27.708Z + card-last-reviewed:: 2022-10-10T11:37:27.708Z + card-last-score:: 3 + - In an **Observational Study**, data is collected only be *observing* what occurs. + - E.g., surveys, historical records. + - When researchers want to investigate **causal relationships**, it's best to conduct an experiment. + - Usually there will be both an explanatory variable & a response variable. + - Be wary of confounding variables. + - ## Designed (Comparative) Study + - An experiment allows us to prove a cause-and-effect relationship. + - The experimenter must identify: + - at least one **explanatory variable**, called a **factor** to manipulate. + - at least one **response** variable to measure. + - The experimenter must also control any other **nuisance factors** that could influence the response. + - e.g., weather, day of the week. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-11-23T09_22_44.508Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-11-23T09_22_44.508Z.Desktop.md new file mode 100644 index 00000000..db3ce31c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-11-23T09_22_44.508Z.Desktop.md @@ -0,0 +1,100 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Exploratory Data Analysis]] +- **Next Topic:** [[Probability]] +- **Relevant Slides:** ![Topic 3 - Sampling.pdf](../assets/Topic_3_-_Sampling_1663599787566_0.pdf) +- +- What is a **Parameter**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:30:17.122Z + card-last-score:: 1 + - A **parameter** is a single value summarising some feature or variable of interest in the population. + - It is usually unknown. +- What is **inference**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-22T23:24:34.466Z + card-last-reviewed:: 2022-10-20T08:24:34.467Z + card-last-score:: 5 + - **Inference** is the process of making decisions about a population based on information in a sample. +- A consequence of **natural variation** is that two samples drawn form the same population will usually give different estimates of the population parameters. +- +- # Sampling + collapsed:: true + - What is **non-probabilistic sampling**? #card + card-last-interval:: 29.04 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-13T20:02:44.059Z + card-last-reviewed:: 2022-11-14T20:02:44.059Z + card-last-score:: 5 + - **Non-probabilistic sampling** methods are techniques of obtaining a sample that is not chosen at random and may be subject to **sampling bias**. + - ## Simple Random Sample + - ### Difficulties: + - Obtaining a sampling frame (list of all experimental units). + - Possibly time consuming / expensive. + - Minority groups, by chance, may not be represented in the sample. + - ## Stratified Random Sampling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:40.391Z + card-last-score:: 1 + - 1. Split entire population into **homogeneous groups**, called **strata**. + 2. Take a Simple Random Sample from each stratum. + - ### Stratified VS Simple Random Sample + - Ensure representation from minority groups. + - Estimates of the population parameters per strata may be of interest. + - Possible reduction in cost per observation in the survey. + - Increased accuracy as reduced sampling error (less variation within a stratum). + - + - ### Difficulties + - Can you correctly allocate each individual to one & only one stratum? + - Should every group receive equal weight? + - What if some strata are more varied than others? + - Take into account mean, variance, and cost to get "optimal allocation". + - ## Cluster Sampling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:48.138Z + card-last-score:: 1 + - Instead of randomly choosing individuals, a Simple Random Sample of collection or groups of individuals is taken. + - The population is broken up into regions or groups, usually a *natural partition*, called a **cluster**. + - Internally heterogeneous, homogeneous between the clusters. + - Clusters are assumed representation of the entire population. + - Small number of clusters are selected at random. + - Every individual within a cluster is observed. + - + - ### Cluster Over Stratified + - Sampling frame not necessarily needed. + - May be more practical and / or economical than Simple or Stratified Random Sampling. + - Will be biased if the entire cluster is not sampled. + - Careful if homogeneity within a cluster and heterogeneity between clusters as this can increase sample error. + - **Note:** In stratified sampling, all strata are sampled, while in cluster sampling only some clusters are sampled. +- # Studies & Experiments + - ## Observational Studies & Experiments #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:49:06.426Z + card-last-score:: 1 + - In an **Observational Study**, data is collected only be *observing* what occurs. + - E.g., surveys, historical records. + - When researchers want to investigate **causal relationships**, it's best to conduct an experiment. + - Usually there will be both an explanatory variable & a response variable. + - Be wary of confounding variables. + - ## Designed (Comparative) Study + - An experiment allows us to prove a cause-and-effect relationship. + - The experimenter must identify: + - at least one **explanatory variable**, called a **factor** to manipulate. + - at least one **response** variable to measure. + - The experimenter must also control any other **nuisance factors** that could influence the response. + - e.g., weather, day of the week. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-11-23T12_15_36.873Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-11-23T12_15_36.873Z.Desktop.md new file mode 100644 index 00000000..db3ce31c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Sampling/2022-11-23T12_15_36.873Z.Desktop.md @@ -0,0 +1,100 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Exploratory Data Analysis]] +- **Next Topic:** [[Probability]] +- **Relevant Slides:** ![Topic 3 - Sampling.pdf](../assets/Topic_3_-_Sampling_1663599787566_0.pdf) +- +- What is a **Parameter**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:30:17.122Z + card-last-score:: 1 + - A **parameter** is a single value summarising some feature or variable of interest in the population. + - It is usually unknown. +- What is **inference**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-22T23:24:34.466Z + card-last-reviewed:: 2022-10-20T08:24:34.467Z + card-last-score:: 5 + - **Inference** is the process of making decisions about a population based on information in a sample. +- A consequence of **natural variation** is that two samples drawn form the same population will usually give different estimates of the population parameters. +- +- # Sampling + collapsed:: true + - What is **non-probabilistic sampling**? #card + card-last-interval:: 29.04 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-13T20:02:44.059Z + card-last-reviewed:: 2022-11-14T20:02:44.059Z + card-last-score:: 5 + - **Non-probabilistic sampling** methods are techniques of obtaining a sample that is not chosen at random and may be subject to **sampling bias**. + - ## Simple Random Sample + - ### Difficulties: + - Obtaining a sampling frame (list of all experimental units). + - Possibly time consuming / expensive. + - Minority groups, by chance, may not be represented in the sample. + - ## Stratified Random Sampling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:40.391Z + card-last-score:: 1 + - 1. Split entire population into **homogeneous groups**, called **strata**. + 2. Take a Simple Random Sample from each stratum. + - ### Stratified VS Simple Random Sample + - Ensure representation from minority groups. + - Estimates of the population parameters per strata may be of interest. + - Possible reduction in cost per observation in the survey. + - Increased accuracy as reduced sampling error (less variation within a stratum). + - + - ### Difficulties + - Can you correctly allocate each individual to one & only one stratum? + - Should every group receive equal weight? + - What if some strata are more varied than others? + - Take into account mean, variance, and cost to get "optimal allocation". + - ## Cluster Sampling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:48.138Z + card-last-score:: 1 + - Instead of randomly choosing individuals, a Simple Random Sample of collection or groups of individuals is taken. + - The population is broken up into regions or groups, usually a *natural partition*, called a **cluster**. + - Internally heterogeneous, homogeneous between the clusters. + - Clusters are assumed representation of the entire population. + - Small number of clusters are selected at random. + - Every individual within a cluster is observed. + - + - ### Cluster Over Stratified + - Sampling frame not necessarily needed. + - May be more practical and / or economical than Simple or Stratified Random Sampling. + - Will be biased if the entire cluster is not sampled. + - Careful if homogeneity within a cluster and heterogeneity between clusters as this can increase sample error. + - **Note:** In stratified sampling, all strata are sampled, while in cluster sampling only some clusters are sampled. +- # Studies & Experiments + - ## Observational Studies & Experiments #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:49:06.426Z + card-last-score:: 1 + - In an **Observational Study**, data is collected only be *observing* what occurs. + - E.g., surveys, historical records. + - When researchers want to investigate **causal relationships**, it's best to conduct an experiment. + - Usually there will be both an explanatory variable & a response variable. + - Be wary of confounding variables. + - ## Designed (Comparative) Study + - An experiment allows us to prove a cause-and-effect relationship. + - The experimenter must identify: + - at least one **explanatory variable**, called a **factor** to manipulate. + - at least one **response** variable to measure. + - The experimenter must also control any other **nuisance factors** that could influence the response. + - e.g., weather, day of the week. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Social Engineering/2022-11-07T13_56_51.431Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Social Engineering/2022-11-07T13_56_51.431Z.Desktop.md new file mode 100644 index 00000000..c46a6350 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Social Engineering/2022-11-07T13_56_51.431Z.Desktop.md @@ -0,0 +1,84 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[Hash Cracking Using Rainbow Tables]] +- **Next Topic:** null +- **Relevant Slides:** ![ct255_05.pdf](../assets/ct255_05_1665403304356_0.pdf) +- +- What is **Social Engineering**? #card + card-last-interval:: 2.51 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-22T20:27:18.812Z + card-last-reviewed:: 2022-10-20T08:27:18.813Z + card-last-score:: 5 + - **Social Engineering** is the use of deception to manipulate individuals into divulging confidential or personal information that may be used for fraudulent purposes. +- What is **Phishing**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-21T06:54:27.184Z + card-last-reviewed:: 2022-10-18T11:54:27.185Z + card-last-score:: 5 + - **Phishing** usually involves sending malicious emails from supposedly trusted sources to as many people as possible, assuming a low response rate. +- What is **Spear Phishing**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:14.845Z + card-last-score:: 1 + - In **Spear Phishing**, the perpetrator is disguised as a trusted individual, such as a boss, friend, or spouse. +- What is **Whaling**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:35:19.691Z + card-last-score:: 1 + - **Whaling** uses deceptive email messages targeting high-level decision makers within an organisation, such as CEOs or other executives. + - Such individuals have access to highly valuable information, including trade secrets & passwords to administrative company accounts. +- What is **Smishing**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-21T06:54:56.627Z + card-last-reviewed:: 2022-10-18T11:54:56.627Z + card-last-score:: 5 + - **Smishing** is portmanteau for "SMS Phishing", and it works much the same as phishing. + - Users are tricked via an SMS text rather than from an email. +- What is **Vishing**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-21T03:22:41.159Z + card-last-reviewed:: 2022-10-18T08:22:41.159Z + card-last-score:: 5 + - **Vishing**, also called **VOIP Phishing** is the voice counterpart to phishing. + - For example, an email asks the user to make a phone call, or victims receive an unsolicited call. +- What is **Pretexting**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:43:38.466Z + card-last-score:: 1 + - **Pretexting** is the practice of presenting oneself as someone else in order to obtain private information. + - It is more than just creating a lie, in some cases, it can involve creating an entirely new identity and then using that identity to manipulate the receipt of information. + - Pretexting goes hand-in-hand with vishing. +- What is a **Watering Hole** attack? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T11:54:50.815Z + card-last-score:: 1 + - A **Watering Hole** attack consists of injecting malicious code into public web pages of a website that the target visits. + - The attackers typically compromise websites within a specific sector that are typically visited by specific individuals of interest for the attacks. +- What is **Pharming**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:58.169Z + card-last-score:: 1 + - **Pharming** scams redirect users to a copy of a popular website where personal data such as usernames, passwords, & financial information can be "farmed" & collected for fraudulent use. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Social Engineering/2022-11-11T12_04_45.378Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Social Engineering/2022-11-11T12_04_45.378Z.Desktop.md new file mode 100644 index 00000000..e3324e2d --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Social Engineering/2022-11-11T12_04_45.378Z.Desktop.md @@ -0,0 +1,84 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[Hash Cracking Using Rainbow Tables]] +- **Next Topic:** [[DIffie-Hellman Key Exchange]] +- **Relevant Slides:** ![ct255_05.pdf](../assets/ct255_05_1665403304356_0.pdf) +- +- What is **Social Engineering**? #card + card-last-interval:: 2.51 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-22T20:27:18.812Z + card-last-reviewed:: 2022-10-20T08:27:18.813Z + card-last-score:: 5 + - **Social Engineering** is the use of deception to manipulate individuals into divulging confidential or personal information that may be used for fraudulent purposes. +- What is **Phishing**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-21T06:54:27.184Z + card-last-reviewed:: 2022-10-18T11:54:27.185Z + card-last-score:: 5 + - **Phishing** usually involves sending malicious emails from supposedly trusted sources to as many people as possible, assuming a low response rate. +- What is **Spear Phishing**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:14.845Z + card-last-score:: 1 + - In **Spear Phishing**, the perpetrator is disguised as a trusted individual, such as a boss, friend, or spouse. +- What is **Whaling**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:35:19.691Z + card-last-score:: 1 + - **Whaling** uses deceptive email messages targeting high-level decision makers within an organisation, such as CEOs or other executives. + - Such individuals have access to highly valuable information, including trade secrets & passwords to administrative company accounts. +- What is **Smishing**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-21T06:54:56.627Z + card-last-reviewed:: 2022-10-18T11:54:56.627Z + card-last-score:: 5 + - **Smishing** is portmanteau for "SMS Phishing", and it works much the same as phishing. + - Users are tricked via an SMS text rather than from an email. +- What is **Vishing**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-21T03:22:41.159Z + card-last-reviewed:: 2022-10-18T08:22:41.159Z + card-last-score:: 5 + - **Vishing**, also called **VOIP Phishing** is the voice counterpart to phishing. + - For example, an email asks the user to make a phone call, or victims receive an unsolicited call. +- What is **Pretexting**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T08:43:38.466Z + card-last-score:: 1 + - **Pretexting** is the practice of presenting oneself as someone else in order to obtain private information. + - It is more than just creating a lie, in some cases, it can involve creating an entirely new identity and then using that identity to manipulate the receipt of information. + - Pretexting goes hand-in-hand with vishing. +- What is a **Watering Hole** attack? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T11:54:50.815Z + card-last-score:: 1 + - A **Watering Hole** attack consists of injecting malicious code into public web pages of a website that the target visits. + - The attackers typically compromise websites within a specific sector that are typically visited by specific individuals of interest for the attacks. +- What is **Pharming**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-19T23:00:00.000Z + card-last-reviewed:: 2022-10-19T08:46:58.169Z + card-last-score:: 1 + - **Pharming** scams redirect users to a copy of a popular website where personal data such as usernames, passwords, & financial information can be "farmed" & collected for fraudulent use. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Software Processes/2022-09-30T10_01_42.386Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Software Processes/2022-09-30T10_01_42.386Z.Desktop.md new file mode 100644 index 00000000..62cb9a67 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Software Processes/2022-09-30T10_01_42.386Z.Desktop.md @@ -0,0 +1,85 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Cloud Computing]] +- **Next Topic:** [[Introduction to Agile Methods]] +- **Relevant Slides:** ![Week 2 - Software Processes.pdf](../assets/Week_2_-_Software_Processes_1663178767479_0.pdf) +- +- # The Software Process + - What is the **Software Process**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:55:08.205Z + card-last-score:: 1 + - The **Software Process** is a structured set of activities required to develop a software system. + - What are the 4 fundamental activities in the Software Process? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-19T23:00:00.000Z + card-last-reviewed:: 2022-09-19T18:33:26.210Z + card-last-score:: 1 + - **Specification** + - Talk to the customer + - Understand the problems + - Talk to any relevant stakeholders + - **Development** + - Map out the tasks + - Design the software + - Develop the solution + - **Validation** + - Does the software meet the requirements? + - Is it what the customer wanted? + - **Evolution** (maintenance) + - Modified to adapt + - Changes in requirements + - Customer & Market conditions + - The foundation of software engineering is the **process**. + - The **goal** of software engineering is to efficiently & predictably deliver a product that meets the requirements. + - +- # Software Engineering Practice + - ### **1) Understand the problem** (*Communication & Analysis*) + - Who are the stakeholders? + - What are the unknowns? + - ### **2) Plan the solution** (*Modelling & Software Design*) + - Have we seen this problem before? + - Has a similar problem already been solved? + - Can sub-problems be found? + - ### **3) Carry out the plan** (*Write the Code*) + - Does the solution conform to the plan? + - Has the code been reviewed for correctness? + - ### **4) Examine the result** (*Test It*) + - Is each component testable? + - Does the solution produce results as defined originally? + - +- # General Software Engineering Questions + - **What** is the problem to be solved? + - Requirements definition + - **What** are the characteristics of the software (system) used to solve the problem? + - Analysis + - **How** will the system be realised / constructed? + - Design + - **How** will the system be supported long-term? + - Maintenance +- +- # Overview of Software Engineering + - There are 3 generic phrases, regardless of paradigm: + - **Definition** - a focus on the *What* + - System Analysis, Software Project Planning, Requirements Analysis + - **Development** - a focus on the *How* + - Software Design, Coding, Software Testing + - **Maintenance** - a focus on *Change* + - Correction, Adaption, Enhancement + - +- +- # Software Engineering Should... + - Provide a clear statement of the project **mandate** & objectives + - Create effective means of **communication** + - Increase user **involvement** & **ownership** + - Provide an effective **management framework** to support **productivity** & pragmatism + - Establish **quality assurance** procedures + - Provide sound resource **estimation** & **allocation** procedures + - Ensure the **effectiveness** and **durability** of systems produced + - Encourage the **re-usability** of code and / or solutions + - Reduce the organisation's **vulnerability** to the loss of software development personnel + - Reduce & support post implementation **maintenance** of system \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Software Processes/2022-10-10T11_59_52.472Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Software Processes/2022-10-10T11_59_52.472Z.Desktop.md new file mode 100644 index 00000000..0384184e --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Software Processes/2022-10-10T11_59_52.472Z.Desktop.md @@ -0,0 +1,85 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Cloud Computing]] +- **Next Topic:** [[Introduction to Agile Methods]] +- **Relevant Slides:** ![Week 2 - Software Processes.pdf](../assets/Week_2_-_Software_Processes_1663178767479_0.pdf) +- +- # The Software Process + - What is the **Software Process**? + card-last-interval:: 12.36 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-19T18:39:50.523Z + card-last-reviewed:: 2022-10-07T10:39:50.524Z + card-last-score:: 5 + - The **Software Process** is a structured set of activities required to develop a software system. + - What are the 4 fundamental activities in the Software Process? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:19:08.202Z + card-last-score:: 1 + - **Specification** + - Talk to the customer + - Understand the problems + - Talk to any relevant stakeholders + - **Development** + - Map out the tasks + - Design the software + - Develop the solution + - **Validation** + - Does the software meet the requirements? + - Is it what the customer wanted? + - **Evolution** (maintenance) + - Modified to adapt + - Changes in requirements + - Customer & Market conditions + - The foundation of software engineering is the **process**. + - The **goal** of software engineering is to efficiently & predictably deliver a product that meets the requirements. + - +- # Software Engineering Practice + - ### **1) Understand the problem** (*Communication & Analysis*) + - Who are the stakeholders? + - What are the unknowns? + - ### **2) Plan the solution** (*Modelling & Software Design*) + - Have we seen this problem before? + - Has a similar problem already been solved? + - Can sub-problems be found? + - ### **3) Carry out the plan** (*Write the Code*) + - Does the solution conform to the plan? + - Has the code been reviewed for correctness? + - ### **4) Examine the result** (*Test It*) + - Is each component testable? + - Does the solution produce results as defined originally? + - +- # General Software Engineering Questions + - **What** is the problem to be solved? + - Requirements definition + - **What** are the characteristics of the software (system) used to solve the problem? + - Analysis + - **How** will the system be realised / constructed? + - Design + - **How** will the system be supported long-term? + - Maintenance +- +- # Overview of Software Engineering + - There are 3 generic phrases, regardless of paradigm: + - **Definition** - a focus on the *What* + - System Analysis, Software Project Planning, Requirements Analysis + - **Development** - a focus on the *How* + - Software Design, Coding, Software Testing + - **Maintenance** - a focus on *Change* + - Correction, Adaption, Enhancement + - +- +- # Software Engineering Should... + - Provide a clear statement of the project **mandate** & objectives + - Create effective means of **communication** + - Increase user **involvement** & **ownership** + - Provide an effective **management framework** to support **productivity** & pragmatism + - Establish **quality assurance** procedures + - Provide sound resource **estimation** & **allocation** procedures + - Ensure the **effectiveness** and **durability** of systems produced + - Encourage the **re-usability** of code and / or solutions + - Reduce the organisation's **vulnerability** to the loss of software development personnel + - Reduce & support post implementation **maintenance** of system \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Stars & Bars/2022-10-20T09_05_58.003Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Stars & Bars/2022-10-20T09_05_58.003Z.Desktop.md new file mode 100644 index 00000000..d865b23e --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Stars & Bars/2022-10-20T09_05_58.003Z.Desktop.md @@ -0,0 +1,33 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Combinatorial Proofs]] +- **Next Topic:** [[Advanced PIE, Derangements, & Counting Functions]] +- **Relevant Slides:** ![MA284-Week05.pdf](../assets/MA284-Week05_1664971430860_0.pdf) +- +- Example: How many ways can you give 7 apples to 4 lecturers? + - How many ways can you arrange 3 bars out of 7 stars and 3 bars (10)? + - $$* | * | * | * * *$$ + - $$\binom{10}{3} = 120$$ +- # Multisets vs Sets + - What is a **multiset**? #card + card-last-interval:: 3.57 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-09T22:43:58.697Z + card-last-reviewed:: 2022-10-06T09:43:58.698Z + card-last-score:: 5 + - A **multiset** is a set of objects, where each object can appear more than once. + - As with an ordinary set, order doesn't matter. + - **Set:** Neither order nor repetition of elements matters. + - e.g., $\{a,b,c\} = \{c,a,b\} = \{c,c,a,b,a,b,c\}$ + - **Multiset:** Order does not matter, but we count the **multiplicity** (number of times it occurs) of each element. + - e.g., $\{a,b,c\} \neq \{c,c,a,b,a,b,c\}$, provided they are **multisets**. + - + - **Example:** How many **multisets** of size 4 can you form using numbers $\{1,2,3,4,5\}$? + - Let's answer this using stars & bars. + - e.g.: + - $\{1,2,3,4\} = * | ** | |*|$ + - $\{5,3,3,1\} = *||**||*$ + - Each multiset can be represented using 8 boxes & 4 stars. + - $$5^4 = 625$$ +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-10-07T08_33_33.387Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-10-07T08_33_33.387Z.Desktop.md new file mode 100644 index 00000000..1336af98 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-10-07T08_33_33.387Z.Desktop.md @@ -0,0 +1,405 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Programming Models]] +- **Next Topic:** [[Process Management]] +- **Relevant Slides:** ![Lecture 3.pdf](../assets/Lecture_3_1663453274726_0.pdf) + id:: 6326480d-27b6-4d5f-a1d4-5c446ceef351 +- +- # Types of Software + - What is **Application Software**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-04T12:09:06.492Z + card-last-reviewed:: 2022-09-30T12:09:06.493Z + card-last-score:: 3 + - **Application Software** is a computer program designed to perform a group of coordinated functions for the benefit of the user. + - It is designed solve a specific problem. + - What is **System Software**? #card + card-last-interval:: 3.51 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T00:26:46.612Z + card-last-reviewed:: 2022-10-04T12:26:46.612Z + card-last-score:: 5 + - **System Software** is a program dedicated to ^^managing the computer.^^ + - It provides a platform to other software & a general programming environment. + - There are two main types of system software: + - **Operating System** + - **Utility Software** + - What is the **Operating System (OS)**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T09:19:39.496Z + card-last-score:: 1 + - The **Operating System** provides functions used by the **application software**. + - It provides the mechanisms for application software to **share** the hardware in an orderly fashion to: + - **Increase the overall performance** by allowing different application software to use different parts of the computer at the same time. + - **Decrease the time to execute** a collection of programs and, again, increase the overall performance + - The OS interacts directly with the hardware to provide an interface to other system software and with application software whenever the application software wants to use the system's resources. + - The OS is **application-domain independent**, provides **resource abstraction**, and provides **resources sharing** through strict resource management policies. + - What is **Utility Software**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:33:59.697Z + card-last-score:: 1 + - **Utility Software** is system software designed to help **analyse**, **configure**, **optimise**, or **maintain** a computer. + - Examples include data compression, disk cleaners, disk defragmentation, registry cleaners, or system monitors. +- +- # Resources + collapsed:: true + - What are **Resources**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:29:23.258Z + card-last-score:: 1 + - Different hardware components that a program may access are referred to as **resources**. + - Any particular resource, such as a hard disk, has a generic interface that defines how the programmer can make the resource perform a desired operation. + - What is **Resource Abstraction**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-04T12:08:14.712Z + card-last-reviewed:: 2022-09-30T12:08:14.713Z + card-last-score:: 3 + - Resource Abstraction is done by providing an ^^abstract model of the operation of the hardware components.^^ + - Abstraction generalises the hardware behaviour but ^^restricts its flexibility.^^ + - With abstraction, certain operations become easy to perform, while others may become ^^impossible^^, such as specific hardware control. + - An abstraction can be made to be much simpler than the actual resource interface. + - Simpler resources can be abstracted to a ^^common abstract resource interface.^^ + - ## Resource Sharing + - Abstract & physical resources can be shared among a set of concurrently executing programs. + - What is **Space Multiplex Sharing**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T09:20:54.784Z + card-last-score:: 1 + - **Space Multiplex Sharing** is when resources can be divided into two or more **distinct units** of the resource that can be used independently. + - E.g., Memory, HDD. + - What is **Time Multiplex Sharing**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T09:10:20.724Z + card-last-score:: 1 + - **Time Multiplex Sharing** is when a process is allocated ^^exclusive control of an entire resource for a short period of time^^ (not **spatially divisible**). + - E.g., the Processor Resource. +- +- # Operating Systems + - ## OS Organisation + collapsed:: true + - ![image.png](../assets/image_1663456127205_0.png) + - What is the **Process & Resource Manager**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:29:13.430Z + card-last-score:: 1 + - The **Process & Resource Manager** handles ^^resource allocation.^^ + - It uses the abstraction provided by the other managers. + - What is the **Memory Manager**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:29:18.126Z + card-last-score:: 1 + - Besides other functions, the **Memory Manager** is in charge of the ^^implementation of the **virtual memory**.^^ + - It is classically a separate part of the operating system. + - What is the **File Manager**? #card + card-last-interval:: 3.51 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T00:26:07.395Z + card-last-reviewed:: 2022-10-04T12:26:07.396Z + card-last-score:: 5 + - The **File Manager** abstracts device I/O operations into a relatively simple operation. + - What is the **Device Manager**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T12:08:06.261Z + card-last-score:: 1 + - The **Device Manager** handles the details of ^^reading & writing to the physical devices.^^ + - The Device Manager is implemented within the **device driver**. + - ## OS Evolution + collapsed:: true + - ### Computers with no OS + collapsed:: true + - Programming in machine language. + - Lack of I/O devices. + - ### Rudimentary OS + collapsed:: true + - Programming done in Assembly. + :LOGBOOK: + CLOCK: [2022-09-18 Sun 00:46:32] + :END: + - Some basic I/O devices. + - Some I/O control modules - assembler, debugger, loader, linker. + - ### Batch Processing System + collapsed:: true + - Service a collection of **jobs**, called a **batch**, from a **queue**. + - What is a **Job**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:33:24.125Z + card-last-score:: 1 + - A **Job** is a predefined sequence of commands, programs, and data combined into a single unit. + - Job Control Language and monitor batch (Interpreter for JCL). + - The user doesn't interact with programs while they operate. + - Process Scheduling: **FIFO**. + - Memory is divided into two parts: **system memory** and **program memory**. + - No special jobs for I/O management, as a job has exclusive access to the I/O devices. + - File management. + - ### Operating Systems that use **Multiprogramming** + collapsed:: true + - What is **Multiprogramming**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T09:08:43.086Z + card-last-reviewed:: 2022-09-30T09:08:43.087Z + card-last-score:: 3 + - **Mulitprogramming** is the technique of loading multiple programs into **space-multiplexed memory** while **time-mulitplexing** the processor. + - **Timesharing Systems**, **Real-Time Operating Systems**, and **Distributed Operating Systems** all use multiprogramming. + - + - #### Common Features of Multiprogramming Systems #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-04T12:08:25.384Z + card-last-reviewed:: 2022-09-30T12:08:25.384Z + card-last-score:: 3 + - **Multitasking:** multiple processes sharing machine resources. + - **Hardware Support** for memory protection & I/O devices. + - **Multi-user** & **multi-access** support (through time-sharing mechanisms). + - Optional support for **real-time operations** (based on efficient usage of multitasking support). + - Interactive user interface. + - + - #### Time Sharing Systems #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T12:09:44.908Z + card-last-score:: 1 + - **Time Sharing Systems** have **multiprogramming** & **multi-user** support. + - They use **time slice** (round robin) processor scheduling. + - They have protection & inter-process communication support for Memory Management. + - They have support for the protection & sharing of I/O between users. + - The File Management has protection support & sharing support between users. + - ![image.png](../assets/image_1663504895182_0.png) + - #### Real-Time Operating Systems #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-30T23:00:00.000Z + card-last-reviewed:: 2022-09-30T09:20:47.209Z + card-last-score:: 1 + - **Real-Time Operating Systems** are used whenever a large number of ^^critical external events^^ have to be treated in a short or ^^limited time interval^^ . + - They have support for multiprogramming / multi-tasking. + - The main goal of Real-Time Operating Systems is the **minimisation of response time** to service the external events. + - + - Processor Scheduling: Priority-based pre-emptive. + - Memory Management: + - Concurrent processes are loaded into the memory. + - Support for protection & inter-process communication. + - I/O Management: + - Critical in time. + - Processes dealing with I/O are directly connected to the **interrupt vectors** (for handling interrupt requests). + - File Management: + - File Management may not be present. + - If it exists, it should comply with the requirements for **Time Sharing** & **Real-Time** systems. + - ![image.png](../assets/image_1663504922118_0.png) + - #### Distributed Operating Systems #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:33:53.334Z + card-last-score:: 1 + - Multiprogramming induces a ^^strong **centralisation** tendency.^^ + - **Distributed Operating Systems** aim for **decentralisation**. + - Distributed Operating Systems are based on computer **network** technologies, with different communication & synchronisation protocols. + - **Client-Server** application architecture. + - **Security** & **Protection** are the primary concerns. + - ![image.png](../assets/image_1663586535352_0.png){:height 313, :width 318} + - ### Modern Operating Systems + collapsed:: true + - **Modern Operating Systems** take attributes from Batch, Timesharing, Real-Time, & Distributed Operating Systems. + - Batch OS -> Constant load on the processor on low-priority tasks. + - Timesharing OS -> Interactive processes are treated on a time share. + - Real-Time OS-> Critical Processes (i.e., network drivers) are tread according to real-time constraints. + - Distributed OS -> Client-Server model protocols. + - + - ## OS Implementation Considerations + collapsed:: true + - ### Monolithic Operating System #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-06T23:00:00.000Z + card-last-reviewed:: 2022-10-06T09:41:23.999Z + card-last-score:: 1 + - **Monolithic Operating Systems** try to achieve the functional requirements by executing all the code in the same address space to increase the performance of the system. + - They are often too complex to manage. + - ### Hierarchical Operating System #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:26:11.398Z + card-last-score:: 1 + - **Hierarchical Operating Systems** run most of their services in the **user space**, aiming to improve maintainability & modularity of the codebase. + - Suitable for Object-Oriented Programming, the levels are very well-defined. + - + - **Multiprogramming:** The illusion that multiple programs are running simultaneously. + - **Protection:** Access to shared system resources. + - **Processor Modes:** Different privilege levels. + - Restrictions on the operations that can be run. + - **Kernels:** Complete control over everything in the system (i.e., supervisor). + - ### Multi-Programming #card + card-last-interval:: 2.77 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-03T03:22:43.704Z + card-last-reviewed:: 2022-09-30T09:22:43.705Z + card-last-score:: 3 + - **Multiprogramming** is a technique that allows the system to present the illusion that multiple programs are running on the computer simultaneously. + - It is achieved by ^^switching rapidly between programs.^^ + - Each program is allowed to execute for a fixed amount of time called a **timeslice**. + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor - this is a **context switch**. + - To do a context switch, the OS copies the contents of the current program register file into memory, restores the contents of the next program's register file into the processor, and starts executing the next program. + - From the program POV, they can't tell that a context switch has been performed. + - **Protection** between multi-programmed programs is very important. + - Many multiprogrammed computers are **multi-user** - they allow multiple persons to be logged on at a time. + - Besides Protection, data **privacy** is also important. + - ### Protection #card + card-last-interval:: 2.22 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-02T14:27:41.140Z + card-last-reviewed:: 2022-09-30T09:27:41.141Z + card-last-score:: 3 + - The result of any program running on a multiprogrammed computer must be the same as if the program was the only program running on the computer. + - Programs must not be able to access other program's data and must be confident that their data will not be modified by other programs. + - Programs must not interfere with other program's use of I/O devices. + - **Protection** is achieved by having the ^^OS have full control over the resources of the system^^ (processor, memory, & I/O devices). + - + - **Virtual Memory** is one of the techniques used to achieve protection between programs. + - Each program operates as if it were the only program on the computer, occupying a full set of the address space as in its virtual space. + - The OS is **translating** memory addresses that the program references into physical addresses used by the memory system. + - As long two program's addresses are not translated to the same address space, programs can be written as if they were the only ones running on the machine. + - ### Processor Modes + collapsed:: true + - What are **Processor Modes**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-03T23:00:00.000Z + card-last-reviewed:: 2022-10-03T14:31:05.983Z + card-last-score:: 1 + - **Processor Modes** are operating modes for the CPU that ^^place restrictions^^ on the operations that can be performed by the currently running process. + - Hardware supported CPU modes help the OS to ^^enforce rules^^ that would prevent viruses, spyware, & similar malware from running. + - Only very specific & limited "kernel" code would run unrestricted. + - Any other software (including portions of the OS), would run restricted and would have to ask the "kernel" for permission to modify anything that could compromise the system. + - Multiple mode levels could be designed. + - + - The **mode bit** is used to define the **execution capability** of a program on a processor. + - The mode bit may be logically extended to define areas of memory to be used when the processor is in supervisor mode, versus when it is in user mode. + - #### Supervisor Mode #card + card-last-interval:: 3.51 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T00:26:17.546Z + card-last-reviewed:: 2022-10-04T12:26:17.547Z + card-last-score:: 5 + - The processor can execute ^^any instruction.^^ + - Instructions that can be executed only in supervisor mode are called *supervisor*, *privileged*, or *protected* instructions. (E.g., I/O instructions). + - The executing process has access on both memory spaces. + - #### User Mode #card + card-last-interval:: 2.12 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-06T14:27:38.402Z + card-last-reviewed:: 2022-10-04T12:27:38.402Z + card-last-score:: 3 + - The processor can execute only a ^^subset of the instruction set.^^ + - The executing process has access only to the ^^user space.^^ + - Some processors do not differentiate between protected mode & user mode. + - + - #### Privileged Mode + - To ensure that the OS is the only one that can control the physical resources, it executes in **Privileged Mode**. + - The OS is also responsible for **Low-Level UI** + - When keys are pressed, the OS is responsible to determine which program should receive the input. + - When a program wants to display some output, the user program executes some system call that displays the data. + - User programs execute in **User Mode** + - When User Mode programs want to execute something that requires privileged rights, it sends a request to the OS, known as a **system call**, that asks the OS to do the operation for them. + - + - + - ## Kernel + collapsed:: true + - What is the **Kernel**? #card + card-last-interval:: 3.39 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-07T21:25:56.178Z + card-last-reviewed:: 2022-10-04T12:25:56.178Z + card-last-score:: 5 + - The **Kernel** (sometimes called the **nucleus**) is the part of the operating system that executes in supervisor mode. + - The Kernel operates as **trusted** software + - It implements protection mechanisms that cannot be changed through the actions of un-trusted software executing in user mode. + - It provides the lowest level abstraction layer for resources (memory, processors, and IO devices). + - A fundamental design decision: Should a given function of the OS be incorporated in the kernel or not? + - Protection issues. + - Performance issues. + - ## Methods for Requesting System Services + - 1. Through a **Command Line Interface** + - By calling a specific command. + - Using a command interpreter known as a **shell**. + - #### Command Execution Mechanism #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-reviewed:: 2022-10-04T12:29:59.267Z + card-last-score:: 1 + - A key pressed by the user generates a hardware interrupt. + - A specialised module of the OS reads the keyed character and stores it in a special command line buffer. + - There are special characters, for example, to edit the command line, that are not stored in the command line buffer. + - Control is taken by the shell (command interpreter) when an **end of line** is detected. + - The command is **analysed** (with error or success). + - If successful, the shell decides if it is an **internal** or **external** command (for another module). + - If **internal:** the shell tries the execution, which can end successfully or with an error. + - If **external:** the shell looks for the corresponding executable file & executes it with the detected parameters from the previous phrase. + - 2. From user processes requesting services from the OS + - #### System Call + - The parameters of the call are passed according to the **specific OS convention** & hardware architecture. + - Switch to **protected (supervisor) mode** using a specific mechanism. + - E.g., software interrupt, trap, special instruction of type "call supervisor". + - This mechanism is different to a normal call. + - A **special module** takes over, that will analyse the parameters & their access rights. + - This module can reject the system call. + - If accepted, the **corresponding routine** from the OS is executed and the **result** is returned to the user. + - Upon return, the user mode is returned. + - #### Message + - The user process ^^constructs a **message** (A) that describes a desired service.^^ + - It uses the **send** function to pass the message to a trusted operating system process. + - The send function checks the message, switches the processor to **protected mode**, & then delivers the message to the process that implements the target function. + - Meanwhile, the user waits for a result with a **message receive** operation. + - When the kernel finishes processing the request, it sends a message (B) back to the user process. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-10-10T11_59_52.481Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-10-10T11_59_52.481Z.Desktop.md new file mode 100644 index 00000000..db9780ad --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-10-10T11_59_52.481Z.Desktop.md @@ -0,0 +1,404 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Programming Models]] +- **Next Topic:** [[Process Management]] +- **Relevant Slides:** ![Lecture 3.pdf](../assets/Lecture_3_1663453274726_0.pdf) + id:: 6326480d-27b6-4d5f-a1d4-5c446ceef351 +- +- # Types of Software + - What is **Application Software**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-16T16:40:24.420Z + card-last-reviewed:: 2022-10-07T10:40:24.421Z + card-last-score:: 5 + - **Application Software** is a computer program designed to perform a group of coordinated functions for the benefit of the user. + - It is designed solve a specific problem. + - What is **System Software**? #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-23T02:49:33.131Z + card-last-reviewed:: 2022-10-08T22:49:33.131Z + card-last-score:: 5 + - **System Software** is a program dedicated to ^^managing the computer.^^ + - It provides a platform to other software & a general programming environment. + - There are two main types of system software: + - **Operating System** + - **Utility Software** + - What is the **Operating System (OS)**? #card + card-last-interval:: 0.81 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T17:43:42.144Z + card-last-reviewed:: 2022-10-08T22:43:42.144Z + card-last-score:: 3 + - The **Operating System** provides functions used by the **application software**. + - It provides the mechanisms for application software to **share** the hardware in an orderly fashion to: + - **Increase the overall performance** by allowing different application software to use different parts of the computer at the same time. + - **Decrease the time to execute** a collection of programs and, again, increase the overall performance + - The OS interacts directly with the hardware to provide an interface to other system software and with application software whenever the application software wants to use the system's resources. + - The OS is **application-domain independent**, provides **resource abstraction**, and provides **resources sharing** through strict resource management policies. + - What is **Utility Software**? #card + card-last-interval:: 10.52 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T22:22:49.590Z + card-last-reviewed:: 2022-10-07T10:22:49.590Z + card-last-score:: 5 + - **Utility Software** is system software designed to help **analyse**, **configure**, **optimise**, or **maintain** a computer. + - Examples include data compression, disk cleaners, disk defragmentation, registry cleaners, or system monitors. +- +- # Resources + collapsed:: true + - What are **Resources**? #card + card-last-interval:: 3.58 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T23:41:23.334Z + card-last-reviewed:: 2022-10-07T10:41:23.335Z + card-last-score:: 5 + - Different hardware components that a program may access are referred to as **resources**. + - Any particular resource, such as a hard disk, has a generic interface that defines how the programmer can make the resource perform a desired operation. + - What is **Resource Abstraction**? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-15T17:24:55.129Z + card-last-reviewed:: 2022-10-07T10:24:55.129Z + card-last-score:: 3 + - Resource Abstraction is done by providing an ^^abstract model of the operation of the hardware components.^^ + - Abstraction generalises the hardware behaviour but ^^restricts its flexibility.^^ + - With abstraction, certain operations become easy to perform, while others may become ^^impossible^^, such as specific hardware control. + - An abstraction can be made to be much simpler than the actual resource interface. + - Simpler resources can be abstracted to a ^^common abstract resource interface.^^ + - ## Resource Sharing + - Abstract & physical resources can be shared among a set of concurrently executing programs. + - What is **Space Multiplex Sharing**? #card + card-last-interval:: 0.76 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T09:03:02.028Z + card-last-reviewed:: 2022-10-08T15:03:02.028Z + card-last-score:: 3 + - **Space Multiplex Sharing** is when resources can be divided into two or more **distinct units** of the resource that can be used independently. + - E.g., Memory, HDD. + - What is **Time Multiplex Sharing**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:40:33.131Z + card-last-score:: 1 + - **Time Multiplex Sharing** is when a process is allocated ^^exclusive control of an entire resource for a short period of time^^ (not **spatially divisible**). + - E.g., the Processor Resource. +- +- # Operating Systems + - ## OS Organisation + collapsed:: true + - ![image.png](../assets/image_1663456127205_0.png) + - What is the **Process & Resource Manager**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:20:17.836Z + card-last-score:: 1 + - The **Process & Resource Manager** handles ^^resource allocation.^^ + - It uses the abstraction provided by the other managers. + - What is the **Memory Manager**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-09T08:51:43.700Z + card-last-score:: 1 + - Besides other functions, the **Memory Manager** is in charge of the ^^implementation of the **virtual memory**.^^ + - It is classically a separate part of the operating system. + - What does the **File Manager** do? #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-08T22:49:12.569Z + - The **File Manager** abstracts device I/O operations into a relatively simple operation. + - What is the **Device Manager**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-12T15:19:02.150Z + card-last-reviewed:: 2022-10-08T15:19:02.151Z + card-last-score:: 3 + - The **Device Manager** handles the details of ^^reading & writing to the physical devices.^^ + - The Device Manager is implemented within the **device driver**. + - ## OS Evolution + collapsed:: true + - ### Computers with no OS + collapsed:: true + - Programming in machine language. + - Lack of I/O devices. + - ### Rudimentary OS + collapsed:: true + - Programming done in Assembly. + :LOGBOOK: + CLOCK: [2022-09-18 Sun 00:46:32] + :END: + - Some basic I/O devices. + - Some I/O control modules - assembler, debugger, loader, linker. + - ### Batch Processing System + collapsed:: true + - Service a collection of **jobs**, called a **batch**, from a **queue**. + - What is a **Job**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:22:11.117Z + card-last-reviewed:: 2022-10-07T10:22:11.117Z + card-last-score:: 3 + - A **Job** is a predefined sequence of commands, programs, and data combined into a single unit. + - Job Control Language and monitor batch (Interpreter for JCL). + - The user doesn't interact with programs while they operate. + - Process Scheduling: **FIFO**. + - Memory is divided into two parts: **system memory** and **program memory**. + - No special jobs for I/O management, as a job has exclusive access to the I/O devices. + - File management. + - ### Operating Systems that use **Multiprogramming** + collapsed:: true + - What is **Multiprogramming**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:09:23.709Z + card-last-score:: 1 + - **Mulitprogramming** is the technique of loading multiple programs into **space-multiplexed memory** while **time-mulitplexing** the processor. + - **Timesharing Systems**, **Real-Time Operating Systems**, and **Distributed Operating Systems** all use multiprogramming. + - + - #### Common Features of Multiprogramming Systems #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-15T17:40:16.148Z + card-last-reviewed:: 2022-10-07T10:40:16.148Z + card-last-score:: 3 + - **Multitasking:** multiple processes sharing machine resources. + - **Hardware Support** for memory protection & I/O devices. + - **Multi-user** & **multi-access** support (through time-sharing mechanisms). + - Optional support for **real-time operations** (based on efficient usage of multitasking support). + - Interactive user interface. + - + - #### Time Sharing Systems #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:43:17.734Z + card-last-score:: 1 + - **Time Sharing Systems** have **multiprogramming** & **multi-user** support. + - They use **time slice** (round robin) processor scheduling. + - They have protection & inter-process communication support for Memory Management. + - They have support for the protection & sharing of I/O between users. + - The File Management has protection support & sharing support between users. + - ![image.png](../assets/image_1663504895182_0.png) + - #### Real-Time Operating Systems #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T17:15:52.308Z + card-last-reviewed:: 2022-10-06T17:15:52.309Z + card-last-score:: 5 + - **Real-Time Operating Systems** are used whenever a large number of ^^critical external events^^ have to be treated in a short or ^^limited time interval^^ . + - They have support for multiprogramming / multi-tasking. + - The main goal of Real-Time Operating Systems is the **minimisation of response time** to service the external events. + - + - Processor Scheduling: Priority-based pre-emptive. + - Memory Management: + - Concurrent processes are loaded into the memory. + - Support for protection & inter-process communication. + - I/O Management: + - Critical in time. + - Processes dealing with I/O are directly connected to the **interrupt vectors** (for handling interrupt requests). + - File Management: + - File Management may not be present. + - If it exists, it should comply with the requirements for **Time Sharing** & **Real-Time** systems. + - ![image.png](../assets/image_1663504922118_0.png) + - #### Distributed Operating Systems #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-17T19:50:57.900Z + card-last-reviewed:: 2022-10-08T22:50:57.900Z + card-last-score:: 3 + - Multiprogramming induces a ^^strong **centralisation** tendency.^^ + - **Distributed Operating Systems** aim for ***decentralisation***. + - Distributed Operating Systems are based on computer **network** technologies, with different communication & synchronisation protocols. + - **Client-Server** application architecture. + - **Security** & **Protection** are the primary concerns. + - ![image.png](../assets/image_1663586535352_0.png){:height 313, :width 318} + - ### Modern Operating Systems + collapsed:: true + - **Modern Operating Systems** take attributes from Batch, Timesharing, Real-Time, & Distributed Operating Systems. + - Batch OS -> Constant load on the processor on low-priority tasks. + - Timesharing OS -> Interactive processes are treated on a time share. + - Real-Time OS-> Critical Processes (i.e., network drivers) are tread according to real-time constraints. + - Distributed OS -> Client-Server model protocols. + - + - ## OS Implementation Considerations + collapsed:: true + - ### Monolithic Operating System #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T22:45:53.718Z + card-last-score:: 1 + - **Monolithic Operating Systems** try to achieve the functional requirements by ^^executing all the code in the same address space^^ to increase the performance of the system. + - They are often too complex to manage. + - ### Hierarchical Operating System #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-09T08:52:55.129Z + card-last-score:: 1 + - **Hierarchical Operating Systems** run most of their services in the **user space**, aiming to improve maintainability & modularity of the codebase. + - Suitable for Object-Oriented Programming, the levels are very well-defined. + - + - **Multiprogramming:** The illusion that multiple programs are running simultaneously. + - **Protection:** Access to shared system resources. + - **Processor Modes:** Different privilege levels. + - Restrictions on the operations that can be run. + - **Kernels:** Complete control over everything in the system (i.e., supervisor). + - ### Multi-Programming #card + card-last-interval:: 9.84 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-16T13:22:13.182Z + card-last-reviewed:: 2022-10-06T17:22:13.183Z + card-last-score:: 5 + - **Multiprogramming** is a technique that allows the system to present the illusion that multiple programs are running on the computer simultaneously. + - It is achieved by ^^switching rapidly between programs.^^ + - Each program is allowed to execute for a fixed amount of time called a **timeslice**. + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor - this is a **context switch**. + - To do a context switch, the OS copies the contents of the current program register file into memory, restores the contents of the next program's register file into the processor, and starts executing the next program. + - From the program POV, they can't tell that a context switch has been performed. + - **Protection** between multi-programmed programs is very important. + - Many multiprogrammed computers are **multi-user** - they allow multiple persons to be logged on at a time. + - Besides Protection, data **privacy** is also important. + - ### Protection #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:25:32.882Z + card-last-reviewed:: 2022-10-07T10:25:32.882Z + card-last-score:: 3 + - The result of any program running on a multiprogrammed computer ^^must be the same^^ as if the program was the only program running on the computer. + - Programs ^^must not be able to access other program's data^^ and must be confident that their data will not be modified by other programs. + - Programs ^^must not interfere with other program's use of I/O devices.^^ + - **Protection** is achieved by having the ^^OS have full control over the resources of the system^^ (processor, memory, & I/O devices). + - + - **Virtual Memory** is one of the techniques used to achieve protection between programs. + - Each program operates as if it were the only program on the computer, occupying a full set of the address space as in its virtual space. + - The OS is **translating** memory addresses that the program references into physical addresses used by the memory system. + - As long two program's addresses are not translated to the same address space, programs can be written as if they were the only ones running on the machine. + - ### Processor Modes + collapsed:: true + - What are **Processor Modes**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:38:43.471Z + card-last-reviewed:: 2022-10-07T10:38:43.471Z + card-last-score:: 3 + - **Processor Modes** are operating modes for the CPU that ^^place restrictions^^ on the operations that can be performed by the currently running process. + - Hardware supported CPU modes help the OS to ^^enforce rules^^ that would prevent viruses, spyware, & similar malware from running. + - Only very specific & limited "kernel" code would run unrestricted. + - Any other software (including portions of the OS), would run restricted and would have to ask the "kernel" for permission to modify anything that could compromise the system. + - Multiple mode levels could be designed. + - + - The **mode bit** is used to define the **execution capability** of a program on a processor. + - The mode bit may be logically extended to define areas of memory to be used when the processor is in supervisor mode, versus when it is in user mode. + - #### Supervisor Mode #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-23T02:49:24.174Z + card-last-reviewed:: 2022-10-08T22:49:24.175Z + card-last-score:: 5 + - The processor can execute ^^any instruction.^^ + - Instructions that can be executed only in supervisor mode are called *supervisor*, *privileged*, or *protected* instructions. (E.g., I/O instructions). + - The executing process has access on both memory spaces. + - #### User Mode #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-12T15:01:56.701Z + card-last-reviewed:: 2022-10-08T15:01:56.702Z + card-last-score:: 3 + - The processor can execute only a ^^subset of the instruction set.^^ + - The executing process has access only to the ^^user space.^^ + - Some processors do not differentiate between protected mode & user mode. + - + - #### Privileged Mode + - To ensure that the OS is the only one that can control the physical resources, it executes in **Privileged Mode**. + - The OS is also responsible for **Low-Level UI** + - When keys are pressed, the OS is responsible to determine which program should receive the input. + - When a program wants to display some output, the user program executes some system call that displays the data. + - User programs execute in **User Mode** + - When User Mode programs want to execute something that requires privileged rights, it sends a request to the OS, known as a **system call**, that asks the OS to do the operation for them. + - + - + - ## Kernel + collapsed:: true + - What is the **Kernel**? #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-22T18:56:10.247Z + card-last-reviewed:: 2022-10-08T14:56:10.248Z + card-last-score:: 5 + - The **Kernel** (sometimes called the **nucleus**) is the part of the operating system that executes in supervisor mode. + - The Kernel operates as **trusted** software + - It implements protection mechanisms that cannot be changed through the actions of un-trusted software executing in user mode. + - It provides the lowest level abstraction layer for resources (memory, processors, and IO devices). + - A fundamental design decision: Should a given function of the OS be incorporated in the kernel or not? + - Protection issues. + - Performance issues. + - ## Methods for Requesting System Services + - 1. Through a **Command Line Interface** + - By calling a specific command. + - Using a command interpreter known as a **shell**. + - #### Command Execution Mechanism #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:30:53.493Z + card-last-score:: 1 + - A key pressed by the user generates a hardware interrupt. + - A specialised module of the OS reads the keyed character and stores it in a special command line buffer. + - There are special characters (e.g., to edit the command line) that are not stored in the command line buffer. + - Control is taken by the shell (command interpreter) when an **end of line** is detected. + - The command is **analysed** (with error or success). + - If successful, the shell decides if it is an **internal** or **external** command (for another module). + - If **internal:** the shell tries the execution, which can end successfully or with an error. + - If **external:** the shell looks for the corresponding executable file & executes it with the detected parameters from the previous phrase. + - 2. From user processes requesting services from the OS + - #### System Call + - The parameters of the call are passed according to the **specific OS convention** & hardware architecture. + - Switch to **protected (supervisor) mode** using a specific mechanism. + - E.g., software interrupt, trap, special instruction of type "call supervisor". + - This mechanism is different to a normal call. + - A **special module** takes over, that will analyse the parameters & their access rights. + - This module can reject the system call. + - If accepted, the **corresponding routine** from the OS is executed and the **result** is returned to the user. + - Upon return, the user mode is returned. + - #### Message + - The user process ^^constructs a **message** (A) that describes a desired service.^^ + - It uses the **send** function to pass the message to a trusted operating system process. + - The send function checks the message, switches the processor to **protected mode**, & then delivers the message to the process that implements the target function. + - Meanwhile, the user waits for a result with a **message receive** operation. + - When the kernel finishes processing the request, it sends a message (B) back to the user process. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-10-20T09_05_58.008Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-10-20T09_05_58.008Z.Desktop.md new file mode 100644 index 00000000..919ab609 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-10-20T09_05_58.008Z.Desktop.md @@ -0,0 +1,404 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Programming Models]] +- **Next Topic:** [[Process Management]] +- **Relevant Slides:** ![Lecture 3.pdf](../assets/Lecture_3_1663453274726_0.pdf) + id:: 6326480d-27b6-4d5f-a1d4-5c446ceef351 +- +- # Types of Software + - What is **Application Software**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-16T16:40:24.420Z + card-last-reviewed:: 2022-10-07T10:40:24.421Z + card-last-score:: 5 + - **Application Software** is a computer program designed to perform a group of coordinated functions for the benefit of the user. + - It is designed solve a specific problem. + - What is **System Software**? #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-23T02:49:33.131Z + card-last-reviewed:: 2022-10-08T22:49:33.131Z + card-last-score:: 5 + - **System Software** is a program dedicated to ^^managing the computer.^^ + - It provides a platform to other software & a general programming environment. + - There are two main types of system software: + - **Operating System** + - **Utility Software** + - What is the **Operating System (OS)**? #card + card-last-interval:: 7.48 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T22:44:36.889Z + card-last-reviewed:: 2022-10-10T11:44:36.890Z + card-last-score:: 5 + - The **Operating System** provides functions used by the **application software**. + - It provides the mechanisms for application software to **share** the hardware in an orderly fashion to: + - **Increase the overall performance** by allowing different application software to use different parts of the computer at the same time. + - **Decrease the time to execute** a collection of programs and, again, increase the overall performance + - The OS interacts directly with the hardware to provide an interface to other system software and with application software whenever the application software wants to use the system's resources. + - The OS is **application-domain independent**, provides **resource abstraction**, and provides **resources sharing** through strict resource management policies. + - What is **Utility Software**? #card + card-last-interval:: 10.52 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T22:22:49.590Z + card-last-reviewed:: 2022-10-07T10:22:49.590Z + card-last-score:: 5 + - **Utility Software** is system software designed to help **analyse**, **configure**, **optimise**, or **maintain** a computer. + - Examples include data compression, disk cleaners, disk defragmentation, registry cleaners, or system monitors. +- +- # Resources + collapsed:: true + - What are **Resources**? #card + card-last-interval:: 3.58 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T23:41:23.334Z + card-last-reviewed:: 2022-10-07T10:41:23.335Z + card-last-score:: 5 + - Different hardware components that a program may access are referred to as **resources**. + - Any particular resource, such as a hard disk, has a generic interface that defines how the programmer can make the resource perform a desired operation. + - What is **Resource Abstraction**? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-15T17:24:55.129Z + card-last-reviewed:: 2022-10-07T10:24:55.129Z + card-last-score:: 3 + - Resource Abstraction is done by providing an ^^abstract model of the operation of the hardware components.^^ + - Abstraction generalises the hardware behaviour but ^^restricts its flexibility.^^ + - With abstraction, certain operations become easy to perform, while others may become ^^impossible^^, such as specific hardware control. + - An abstraction can be made to be much simpler than the actual resource interface. + - Simpler resources can be abstracted to a ^^common abstract resource interface.^^ + - ## Resource Sharing + - Abstract & physical resources can be shared among a set of concurrently executing programs. + - What is **Space Multiplex Sharing**? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-19T08:43:21.251Z + card-last-reviewed:: 2022-10-10T11:43:21.251Z + card-last-score:: 3 + - **Space Multiplex Sharing** is when resources can be divided into two or more **distinct units** of the resource that can be used independently. + - E.g., Memory, HDD. + - What is **Time Multiplex Sharing**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:40:18.876Z + card-last-score:: 1 + - **Time Multiplex Sharing** is when a process is allocated ^^exclusive control of an entire resource for a short period of time^^ (not **spatially divisible**). + - E.g., the Processor Resource. +- +- # Operating Systems + - ## OS Organisation + collapsed:: true + - ![image.png](../assets/image_1663456127205_0.png) + - What is the **Process & Resource Manager**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:36:12.701Z + card-last-score:: 1 + - The **Process & Resource Manager** handles ^^resource allocation.^^ + - It uses the abstraction provided by the other managers. + - What is the **Memory Manager**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-09T08:51:43.700Z + card-last-score:: 1 + - Besides other functions, the **Memory Manager** is in charge of the ^^implementation of the **virtual memory**.^^ + - It is classically a separate part of the operating system. + - What does the **File Manager** do? #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-10T11:37:06.823Z + - The **File Manager** abstracts device I/O operations into a relatively simple operation. + - What is the **Device Manager**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-12T15:19:02.150Z + card-last-reviewed:: 2022-10-08T15:19:02.151Z + card-last-score:: 3 + - The **Device Manager** handles the details of ^^reading & writing to the physical devices.^^ + - The Device Manager is implemented within the **device driver**. + - ## OS Evolution + collapsed:: true + - ### Computers with no OS + collapsed:: true + - Programming in machine language. + - Lack of I/O devices. + - ### Rudimentary OS + collapsed:: true + - Programming done in Assembly. + :LOGBOOK: + CLOCK: [2022-09-18 Sun 00:46:32] + :END: + - Some basic I/O devices. + - Some I/O control modules - assembler, debugger, loader, linker. + - ### Batch Processing System + collapsed:: true + - Service a collection of **jobs**, called a **batch**, from a **queue**. + - What is a **Job**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:22:11.117Z + card-last-reviewed:: 2022-10-07T10:22:11.117Z + card-last-score:: 3 + - A **Job** is a predefined sequence of commands, programs, and data combined into a single unit. + - Job Control Language and monitor batch (Interpreter for JCL). + - The user doesn't interact with programs while they operate. + - Process Scheduling: **FIFO**. + - Memory is divided into two parts: **system memory** and **program memory**. + - No special jobs for I/O management, as a job has exclusive access to the I/O devices. + - File management. + - ### Operating Systems that use **Multiprogramming** + collapsed:: true + - What is **Multiprogramming**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:34:12.274Z + card-last-score:: 1 + - **Mulitprogramming** is the technique of loading multiple programs into **space-multiplexed memory** while **time-mulitplexing** the processor. + - **Timesharing Systems**, **Real-Time Operating Systems**, and **Distributed Operating Systems** all use multiprogramming. + - + - #### Common Features of Multiprogramming Systems #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-15T17:40:16.148Z + card-last-reviewed:: 2022-10-07T10:40:16.148Z + card-last-score:: 3 + - **Multitasking:** multiple processes sharing machine resources. + - **Hardware Support** for memory protection & I/O devices. + - **Multi-user** & **multi-access** support (through time-sharing mechanisms). + - Optional support for **real-time operations** (based on efficient usage of multitasking support). + - Interactive user interface. + - + - #### Time Sharing Systems #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:41:00.541Z + card-last-score:: 1 + - **Time Sharing Systems** have **multiprogramming** & **multi-user** support. + - They use **time slice** (round robin) processor scheduling. + - They have protection & inter-process communication support for Memory Management. + - They have support for the protection & sharing of I/O between users. + - The File Management has protection support & sharing support between users. + - ![image.png](../assets/image_1663504895182_0.png) + - #### Real-Time Operating Systems #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-10T17:15:52.308Z + card-last-reviewed:: 2022-10-06T17:15:52.309Z + card-last-score:: 5 + - **Real-Time Operating Systems** are used whenever a large number of ^^critical external events^^ have to be treated in a short or ^^limited time interval^^ . + - They have support for multiprogramming / multi-tasking. + - The main goal of Real-Time Operating Systems is the **minimisation of response time** to service the external events. + - + - Processor Scheduling: Priority-based pre-emptive. + - Memory Management: + - Concurrent processes are loaded into the memory. + - Support for protection & inter-process communication. + - I/O Management: + - Critical in time. + - Processes dealing with I/O are directly connected to the **interrupt vectors** (for handling interrupt requests). + - File Management: + - File Management may not be present. + - If it exists, it should comply with the requirements for **Time Sharing** & **Real-Time** systems. + - ![image.png](../assets/image_1663504922118_0.png) + - #### Distributed Operating Systems #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-17T19:50:57.900Z + card-last-reviewed:: 2022-10-08T22:50:57.900Z + card-last-score:: 3 + - Multiprogramming induces a ^^strong **centralisation** tendency.^^ + - **Distributed Operating Systems** aim for ***decentralisation***. + - Distributed Operating Systems are based on computer **network** technologies, with different communication & synchronisation protocols. + - **Client-Server** application architecture. + - **Security** & **Protection** are the primary concerns. + - ![image.png](../assets/image_1663586535352_0.png){:height 313, :width 318} + - ### Modern Operating Systems + collapsed:: true + - **Modern Operating Systems** take attributes from Batch, Timesharing, Real-Time, & Distributed Operating Systems. + - Batch OS -> Constant load on the processor on low-priority tasks. + - Timesharing OS -> Interactive processes are treated on a time share. + - Real-Time OS-> Critical Processes (i.e., network drivers) are tread according to real-time constraints. + - Distributed OS -> Client-Server model protocols. + - + - ## OS Implementation Considerations + collapsed:: true + - ### Monolithic Operating System #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:41:38.954Z + card-last-score:: 1 + - **Monolithic Operating Systems** try to achieve the functional requirements by ^^executing all the code in the same address space^^ to increase the performance of the system. + - They are often too complex to manage. + - ### Hierarchical Operating System #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-09T23:00:00.000Z + card-last-reviewed:: 2022-10-09T08:52:55.129Z + card-last-score:: 1 + - **Hierarchical Operating Systems** run most of their services in the **user space**, aiming to improve maintainability & modularity of the codebase. + - Suitable for Object-Oriented Programming, the levels are very well-defined. + - + - **Multiprogramming:** The illusion that multiple programs are running simultaneously. + - **Protection:** Access to shared system resources. + - **Processor Modes:** Different privilege levels. + - Restrictions on the operations that can be run. + - **Kernels:** Complete control over everything in the system (i.e., supervisor). + - ### Multi-Programming #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-09T20:42:52.352Z + card-last-reviewed:: 2022-10-19T08:42:52.354Z + card-last-score:: 3 + - **Multiprogramming** is a technique that allows the system to present the illusion that multiple programs are running on the computer simultaneously. + - It is achieved by ^^switching rapidly between programs.^^ + - Each program is allowed to execute for a fixed amount of time called a **timeslice**. + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor - this is a **context switch**. + - To do a context switch, the OS copies the contents of the current program register file into memory, restores the contents of the next program's register file into the processor, and starts executing the next program. + - From the program POV, they can't tell that a context switch has been performed. + - **Protection** between multi-programmed programs is very important. + - Many multiprogrammed computers are **multi-user** - they allow multiple persons to be logged on at a time. + - Besides Protection, data **privacy** is also important. + - ### Protection #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:25:32.882Z + card-last-reviewed:: 2022-10-07T10:25:32.882Z + card-last-score:: 3 + - The result of any program running on a multiprogrammed computer ^^must be the same^^ as if the program was the only program running on the computer. + - Programs ^^must not be able to access other program's data^^ and must be confident that their data will not be modified by other programs. + - Programs ^^must not interfere with other program's use of I/O devices.^^ + - **Protection** is achieved by having the ^^OS have full control over the resources of the system^^ (processor, memory, & I/O devices). + - + - **Virtual Memory** is one of the techniques used to achieve protection between programs. + - Each program operates as if it were the only program on the computer, occupying a full set of the address space as in its virtual space. + - The OS is **translating** memory addresses that the program references into physical addresses used by the memory system. + - As long two program's addresses are not translated to the same address space, programs can be written as if they were the only ones running on the machine. + - ### Processor Modes + collapsed:: true + - What are **Processor Modes**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:38:43.471Z + card-last-reviewed:: 2022-10-07T10:38:43.471Z + card-last-score:: 3 + - **Processor Modes** are operating modes for the CPU that ^^place restrictions^^ on the operations that can be performed by the currently running process. + - Hardware supported CPU modes help the OS to ^^enforce rules^^ that would prevent viruses, spyware, & similar malware from running. + - Only very specific & limited "kernel" code would run unrestricted. + - Any other software (including portions of the OS), would run restricted and would have to ask the "kernel" for permission to modify anything that could compromise the system. + - Multiple mode levels could be designed. + - + - The **mode bit** is used to define the **execution capability** of a program on a processor. + - The mode bit may be logically extended to define areas of memory to be used when the processor is in supervisor mode, versus when it is in user mode. + - #### Supervisor Mode #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-23T02:49:24.174Z + card-last-reviewed:: 2022-10-08T22:49:24.175Z + card-last-score:: 5 + - The processor can execute ^^any instruction.^^ + - Instructions that can be executed only in supervisor mode are called *supervisor*, *privileged*, or *protected* instructions. (E.g., I/O instructions). + - The executing process has access on both memory spaces. + - #### User Mode #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-12T15:01:56.701Z + card-last-reviewed:: 2022-10-08T15:01:56.702Z + card-last-score:: 3 + - The processor can execute only a ^^subset of the instruction set.^^ + - The executing process has access only to the ^^user space.^^ + - Some processors do not differentiate between protected mode & user mode. + - + - #### Privileged Mode + - To ensure that the OS is the only one that can control the physical resources, it executes in **Privileged Mode**. + - The OS is also responsible for **Low-Level UI** + - When keys are pressed, the OS is responsible to determine which program should receive the input. + - When a program wants to display some output, the user program executes some system call that displays the data. + - User programs execute in **User Mode** + - When User Mode programs want to execute something that requires privileged rights, it sends a request to the OS, known as a **system call**, that asks the OS to do the operation for them. + - + - + - ## Kernel + collapsed:: true + - What is the **Kernel**? #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-22T18:56:10.247Z + card-last-reviewed:: 2022-10-08T14:56:10.248Z + card-last-score:: 5 + - The **Kernel** (sometimes called the **nucleus**) is the part of the operating system that executes in supervisor mode. + - The Kernel operates as **trusted** software + - It implements protection mechanisms that cannot be changed through the actions of un-trusted software executing in user mode. + - It provides the lowest level abstraction layer for resources (memory, processors, and IO devices). + - A fundamental design decision: Should a given function of the OS be incorporated in the kernel or not? + - Protection issues. + - Performance issues. + - ## Methods for Requesting System Services + - 1. Through a **Command Line Interface** + - By calling a specific command. + - Using a command interpreter known as a **shell**. + - #### Command Execution Mechanism #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:38:48.755Z + card-last-score:: 1 + - A key pressed by the user generates a hardware interrupt. + - A specialised module of the OS reads the keyed character and stores it in a special command line buffer. + - There are special characters (e.g., to edit the command line) that are not stored in the command line buffer. + - Control is taken by the shell (command interpreter) when an **end of line** is detected. + - The command is **analysed** (with error or success). + - If successful, the shell decides if it is an **internal** or **external** command (for another module). + - If **internal:** the shell tries the execution, which can end successfully or with an error. + - If **external:** the shell looks for the corresponding executable file & executes it with the detected parameters from the previous phrase. + - 2. From user processes requesting services from the OS + - #### System Call + - The parameters of the call are passed according to the **specific OS convention** & hardware architecture. + - Switch to **protected (supervisor) mode** using a specific mechanism. + - E.g., software interrupt, trap, special instruction of type "call supervisor". + - This mechanism is different to a normal call. + - A **special module** takes over, that will analyse the parameters & their access rights. + - This module can reject the system call. + - If accepted, the **corresponding routine** from the OS is executed and the **result** is returned to the user. + - Upon return, the user mode is returned. + - #### Message + - The user process ^^constructs a **message** (A) that describes a desired service.^^ + - It uses the **send** function to pass the message to a trusted operating system process. + - The send function checks the message, switches the processor to **protected mode**, & then delivers the message to the process that implements the target function. + - Meanwhile, the user waits for a result with a **message receive** operation. + - When the kernel finishes processing the request, it sends a message (B) back to the user process. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-11-11T12_04_45.380Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-11-11T12_04_45.380Z.Desktop.md new file mode 100644 index 00000000..d13a8232 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-11-11T12_04_45.380Z.Desktop.md @@ -0,0 +1,404 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Programming Models]] +- **Next Topic:** [[Process Management]] +- **Relevant Slides:** ![Lecture 3.pdf](../assets/Lecture_3_1663453274726_0.pdf) + id:: 6326480d-27b6-4d5f-a1d4-5c446ceef351 +- +- # Types of Software + - What is **Application Software**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-16T16:40:24.420Z + card-last-reviewed:: 2022-10-07T10:40:24.421Z + card-last-score:: 5 + - **Application Software** is a computer program designed to perform a group of coordinated functions for the benefit of the user. + - It is designed solve a specific problem. + - What is **System Software**? #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-23T02:49:33.131Z + card-last-reviewed:: 2022-10-08T22:49:33.131Z + card-last-score:: 5 + - **System Software** is a program dedicated to ^^managing the computer.^^ + - It provides a platform to other software & a general programming environment. + - There are two main types of system software: + - **Operating System** + - **Utility Software** + - What is the **Operating System (OS)**? #card + card-last-interval:: 7.48 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T22:44:36.889Z + card-last-reviewed:: 2022-10-10T11:44:36.890Z + card-last-score:: 5 + - The **Operating System** provides functions used by the **application software**. + - It provides the mechanisms for application software to **share** the hardware in an orderly fashion to: + - **Increase the overall performance** by allowing different application software to use different parts of the computer at the same time. + - **Decrease the time to execute** a collection of programs and, again, increase the overall performance + - The OS interacts directly with the hardware to provide an interface to other system software and with application software whenever the application software wants to use the system's resources. + - The OS is **application-domain independent**, provides **resource abstraction**, and provides **resources sharing** through strict resource management policies. + - What is **Utility Software**? #card + card-last-interval:: 10.52 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T22:22:49.590Z + card-last-reviewed:: 2022-10-07T10:22:49.590Z + card-last-score:: 5 + - **Utility Software** is system software designed to help **analyse**, **configure**, **optimise**, or **maintain** a computer. + - Examples include data compression, disk cleaners, disk defragmentation, registry cleaners, or system monitors. +- +- # Resources + collapsed:: true + - What are **Resources**? #card + card-last-interval:: 3.58 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T23:41:23.334Z + card-last-reviewed:: 2022-10-07T10:41:23.335Z + card-last-score:: 5 + - Different hardware components that a program may access are referred to as **resources**. + - Any particular resource, such as a hard disk, has a generic interface that defines how the programmer can make the resource perform a desired operation. + - What is **Resource Abstraction**? #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-15T17:24:55.129Z + card-last-reviewed:: 2022-10-07T10:24:55.129Z + card-last-score:: 3 + - Resource Abstraction is done by providing an ^^abstract model of the operation of the hardware components.^^ + - Abstraction generalises the hardware behaviour but ^^restricts its flexibility.^^ + - With abstraction, certain operations become easy to perform, while others may become ^^impossible^^, such as specific hardware control. + - An abstraction can be made to be much simpler than the actual resource interface. + - Simpler resources can be abstracted to a ^^common abstract resource interface.^^ + - ## Resource Sharing + - Abstract & physical resources can be shared among a set of concurrently executing programs. + - What is **Space Multiplex Sharing**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:24:53.215Z + card-last-score:: 1 + - **Space Multiplex Sharing** is when resources can be divided into two or more **distinct units** of the resource that can be used independently. + - E.g., Memory, HDD. + - What is **Time Multiplex Sharing**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:40:18.876Z + card-last-score:: 1 + - **Time Multiplex Sharing** is when a process is allocated ^^exclusive control of an entire resource for a short period of time^^ (not **spatially divisible**). + - E.g., the Processor Resource. +- +- # Operating Systems + - ## OS Organisation + collapsed:: true + - ![image.png](../assets/image_1663456127205_0.png) + - What is the **Process & Resource Manager**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:36:12.701Z + card-last-score:: 1 + - The **Process & Resource Manager** handles ^^resource allocation.^^ + - It uses the abstraction provided by the other managers. + - What is the **Memory Manager**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:28:29.933Z + card-last-score:: 1 + - Besides other functions, the **Memory Manager** is in charge of the ^^implementation of the **virtual memory**.^^ + - It is classically a separate part of the operating system. + - What does the **File Manager** do? #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-26T11:48:22.205Z + - The **File Manager** abstracts device I/O operations into a relatively simple operation. + - What is the **Device Manager**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-12T15:19:02.150Z + card-last-reviewed:: 2022-10-08T15:19:02.151Z + card-last-score:: 3 + - The **Device Manager** handles the details of ^^reading & writing to the physical devices.^^ + - The Device Manager is implemented within the **device driver**. + - ## OS Evolution + collapsed:: true + - ### Computers with no OS + collapsed:: true + - Programming in machine language. + - Lack of I/O devices. + - ### Rudimentary OS + collapsed:: true + - Programming done in Assembly. + :LOGBOOK: + CLOCK: [2022-09-18 Sun 00:46:32] + :END: + - Some basic I/O devices. + - Some I/O control modules - assembler, debugger, loader, linker. + - ### Batch Processing System + collapsed:: true + - Service a collection of **jobs**, called a **batch**, from a **queue**. + - What is a **Job**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:24:47.869Z + card-last-score:: 1 + - A **Job** is a predefined sequence of commands, programs, and data combined into a single unit. + - Job Control Language and monitor batch (Interpreter for JCL). + - The user doesn't interact with programs while they operate. + - Process Scheduling: **FIFO**. + - Memory is divided into two parts: **system memory** and **program memory**. + - No special jobs for I/O management, as a job has exclusive access to the I/O devices. + - File management. + - ### Operating Systems that use **Multiprogramming** + collapsed:: true + - What is **Multiprogramming**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:40:42.256Z + card-last-score:: 1 + - **Mulitprogramming** is the technique of loading multiple programs into **space-multiplexed memory** while **time-mulitplexing** the processor. + - **Timesharing Systems**, **Real-Time Operating Systems**, and **Distributed Operating Systems** all use multiprogramming. + - + - #### Common Features of Multiprogramming Systems #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-10-15T17:40:16.148Z + card-last-reviewed:: 2022-10-07T10:40:16.148Z + card-last-score:: 3 + - **Multitasking:** multiple processes sharing machine resources. + - **Hardware Support** for memory protection & I/O devices. + - **Multi-user** & **multi-access** support (through time-sharing mechanisms). + - Optional support for **real-time operations** (based on efficient usage of multitasking support). + - Interactive user interface. + - + - #### Time Sharing Systems #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-reviewed:: 2022-10-26T11:48:16.928Z + card-last-score:: 1 + - **Time Sharing Systems** have **multiprogramming** & **multi-user** support. + - They use **time slice** (round robin) processor scheduling. + - They have protection & inter-process communication support for Memory Management. + - They have support for the protection & sharing of I/O between users. + - The File Management has protection support & sharing support between users. + - ![image.png](../assets/image_1663504895182_0.png) + - #### Real-Time Operating Systems #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:34:45.562Z + card-last-score:: 1 + - **Real-Time Operating Systems** are used whenever a large number of ^^critical external events^^ have to be treated in a short or ^^limited time interval^^ . + - They have support for multiprogramming / multi-tasking. + - The main goal of Real-Time Operating Systems is the **minimisation of response time** to service the external events. + - + - Processor Scheduling: Priority-based pre-emptive. + - Memory Management: + - Concurrent processes are loaded into the memory. + - Support for protection & inter-process communication. + - I/O Management: + - Critical in time. + - Processes dealing with I/O are directly connected to the **interrupt vectors** (for handling interrupt requests). + - File Management: + - File Management may not be present. + - If it exists, it should comply with the requirements for **Time Sharing** & **Real-Time** systems. + - ![image.png](../assets/image_1663504922118_0.png) + - #### Distributed Operating Systems #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-17T19:50:57.900Z + card-last-reviewed:: 2022-10-08T22:50:57.900Z + card-last-score:: 3 + - Multiprogramming induces a ^^strong **centralisation** tendency.^^ + - **Distributed Operating Systems** aim for ***decentralisation***. + - Distributed Operating Systems are based on computer **network** technologies, with different communication & synchronisation protocols. + - **Client-Server** application architecture. + - **Security** & **Protection** are the primary concerns. + - ![image.png](../assets/image_1663586535352_0.png){:height 313, :width 318} + - ### Modern Operating Systems + collapsed:: true + - **Modern Operating Systems** take attributes from Batch, Timesharing, Real-Time, & Distributed Operating Systems. + - Batch OS -> Constant load on the processor on low-priority tasks. + - Timesharing OS -> Interactive processes are treated on a time share. + - Real-Time OS-> Critical Processes (i.e., network drivers) are tread according to real-time constraints. + - Distributed OS -> Client-Server model protocols. + - + - ## OS Implementation Considerations + collapsed:: true + - ### Monolithic Operating System #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:38:08.279Z + card-last-score:: 1 + - **Monolithic Operating Systems** try to achieve the functional requirements by ^^executing all the code in the same address space^^ to increase the performance of the system. + - They are often too complex to manage. + - ### Hierarchical Operating System #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:28:23.849Z + card-last-score:: 1 + - **Hierarchical Operating Systems** run most of their services in the **user space**, aiming to improve maintainability & modularity of the codebase. + - Suitable for Object-Oriented Programming, the levels are very well-defined. + - + - **Multiprogramming:** The illusion that multiple programs are running simultaneously. + - **Protection:** Access to shared system resources. + - **Processor Modes:** Different privilege levels. + - Restrictions on the operations that can be run. + - **Kernels:** Complete control over everything in the system (i.e., supervisor). + - ### Multi-Programming #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-09T20:42:52.352Z + card-last-reviewed:: 2022-10-19T08:42:52.354Z + card-last-score:: 3 + - **Multiprogramming** is a technique that allows the system to present the illusion that multiple programs are running on the computer simultaneously. + - It is achieved by ^^switching rapidly between programs.^^ + - Each program is allowed to execute for a fixed amount of time called a **timeslice**. + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor - this is a **context switch**. + - To do a context switch, the OS copies the contents of the current program register file into memory, restores the contents of the next program's register file into the processor, and starts executing the next program. + - From the program POV, they can't tell that a context switch has been performed. + - **Protection** between multi-programmed programs is very important. + - Many multiprogrammed computers are **multi-user** - they allow multiple persons to be logged on at a time. + - Besides Protection, data **privacy** is also important. + - ### Protection #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:25:32.882Z + card-last-reviewed:: 2022-10-07T10:25:32.882Z + card-last-score:: 3 + - The result of any program running on a multiprogrammed computer ^^must be the same^^ as if the program was the only program running on the computer. + - Programs ^^must not be able to access other program's data^^ and must be confident that their data will not be modified by other programs. + - Programs ^^must not interfere with other program's use of I/O devices.^^ + - **Protection** is achieved by having the ^^OS have full control over the resources of the system^^ (processor, memory, & I/O devices). + - + - **Virtual Memory** is one of the techniques used to achieve protection between programs. + - Each program operates as if it were the only program on the computer, occupying a full set of the address space as in its virtual space. + - The OS is **translating** memory addresses that the program references into physical addresses used by the memory system. + - As long two program's addresses are not translated to the same address space, programs can be written as if they were the only ones running on the machine. + - ### Processor Modes + collapsed:: true + - What are **Processor Modes**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-11T10:38:43.471Z + card-last-reviewed:: 2022-10-07T10:38:43.471Z + card-last-score:: 3 + - **Processor Modes** are operating modes for the CPU that ^^place restrictions^^ on the operations that can be performed by the currently running process. + - Hardware supported CPU modes help the OS to ^^enforce rules^^ that would prevent viruses, spyware, & similar malware from running. + - Only very specific & limited "kernel" code would run unrestricted. + - Any other software (including portions of the OS), would run restricted and would have to ask the "kernel" for permission to modify anything that could compromise the system. + - Multiple mode levels could be designed. + - + - The **mode bit** is used to define the **execution capability** of a program on a processor. + - The mode bit may be logically extended to define areas of memory to be used when the processor is in supervisor mode, versus when it is in user mode. + - #### Supervisor Mode #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-23T02:49:24.174Z + card-last-reviewed:: 2022-10-08T22:49:24.175Z + card-last-score:: 5 + - The processor can execute ^^any instruction.^^ + - Instructions that can be executed only in supervisor mode are called *supervisor*, *privileged*, or *protected* instructions. (E.g., I/O instructions). + - The executing process has access on both memory spaces. + - #### User Mode #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-10-12T15:01:56.701Z + card-last-reviewed:: 2022-10-08T15:01:56.702Z + card-last-score:: 3 + - The processor can execute only a ^^subset of the instruction set.^^ + - The executing process has access only to the ^^user space.^^ + - Some processors do not differentiate between protected mode & user mode. + - + - #### Privileged Mode + - To ensure that the OS is the only one that can control the physical resources, it executes in **Privileged Mode**. + - The OS is also responsible for **Low-Level UI** + - When keys are pressed, the OS is responsible to determine which program should receive the input. + - When a program wants to display some output, the user program executes some system call that displays the data. + - User programs execute in **User Mode** + - When User Mode programs want to execute something that requires privileged rights, it sends a request to the OS, known as a **system call**, that asks the OS to do the operation for them. + - + - + - ## Kernel + collapsed:: true + - What is the **Kernel**? #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-22T18:56:10.247Z + card-last-reviewed:: 2022-10-08T14:56:10.248Z + card-last-score:: 5 + - The **Kernel** (sometimes called the **nucleus**) is the part of the operating system that executes in supervisor mode. + - The Kernel operates as **trusted** software + - It implements protection mechanisms that cannot be changed through the actions of un-trusted software executing in user mode. + - It provides the lowest level abstraction layer for resources (memory, processors, and IO devices). + - A fundamental design decision: Should a given function of the OS be incorporated in the kernel or not? + - Protection issues. + - Performance issues. + - ## Methods for Requesting System Services + - 1. Through a **Command Line Interface** + - By calling a specific command. + - Using a command interpreter known as a **shell**. + - #### Command Execution Mechanism #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-10T23:00:00.000Z + card-last-reviewed:: 2022-10-10T11:38:48.755Z + card-last-score:: 1 + - A key pressed by the user generates a hardware interrupt. + - A specialised module of the OS reads the keyed character and stores it in a special command line buffer. + - There are special characters (e.g., to edit the command line) that are not stored in the command line buffer. + - Control is taken by the shell (command interpreter) when an **end of line** is detected. + - The command is **analysed** (with error or success). + - If successful, the shell decides if it is an **internal** or **external** command (for another module). + - If **internal:** the shell tries the execution, which can end successfully or with an error. + - If **external:** the shell looks for the corresponding executable file & executes it with the detected parameters from the previous phrase. + - 2. From user processes requesting services from the OS + - #### System Call + - The parameters of the call are passed according to the **specific OS convention** & hardware architecture. + - Switch to **protected (supervisor) mode** using a specific mechanism. + - E.g., software interrupt, trap, special instruction of type "call supervisor". + - This mechanism is different to a normal call. + - A **special module** takes over, that will analyse the parameters & their access rights. + - This module can reject the system call. + - If accepted, the **corresponding routine** from the OS is executed and the **result** is returned to the user. + - Upon return, the user mode is returned. + - #### Message + - The user process ^^constructs a **message** (A) that describes a desired service.^^ + - It uses the **send** function to pass the message to a trusted operating system process. + - The send function checks the message, switches the processor to **protected mode**, & then delivers the message to the process that implements the target function. + - Meanwhile, the user waits for a result with a **message receive** operation. + - When the kernel finishes processing the request, it sends a message (B) back to the user process. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-11-23T09_22_44.510Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-11-23T09_22_44.510Z.Desktop.md new file mode 100644 index 00000000..b921cc2a --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-11-23T09_22_44.510Z.Desktop.md @@ -0,0 +1,404 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Programming Models]] +- **Next Topic:** [[Process Management]] +- **Relevant Slides:** ![Lecture 3.pdf](../assets/Lecture_3_1663453274726_0.pdf) + id:: 6326480d-27b6-4d5f-a1d4-5c446ceef351 +- +- # Types of Software + - What is **Application Software**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T06:02:33.036Z + card-last-reviewed:: 2022-11-14T20:02:33.036Z + card-last-score:: 5 + - **Application Software** is a computer program designed to perform a group of coordinated functions for the benefit of the user. + - It is designed solve a specific problem. + - What is **System Software**? #card + card-last-interval:: 31.05 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-15T21:10:52.302Z + card-last-reviewed:: 2022-11-14T20:10:52.302Z + card-last-score:: 3 + - **System Software** is a program dedicated to ^^managing the computer.^^ + - It provides a platform to other software & a general programming environment. + - There are two main types of system software: + - **Operating System** + - **Utility Software** + - What is the **Operating System (OS)**? #card + card-last-interval:: 29.99 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-14T19:04:40.695Z + card-last-reviewed:: 2022-11-14T20:04:40.696Z + card-last-score:: 5 + - The **Operating System** provides functions used by the **application software**. + - It provides the mechanisms for application software to **share** the hardware in an orderly fashion to: + - **Increase the overall performance** by allowing different application software to use different parts of the computer at the same time. + - **Decrease the time to execute** a collection of programs and, again, increase the overall performance + - The OS interacts directly with the hardware to provide an interface to other system software and with application software whenever the application software wants to use the system's resources. + - The OS is **application-domain independent**, provides **resource abstraction**, and provides **resources sharing** through strict resource management policies. + - What is **Utility Software**? #card + card-last-interval:: 29.99 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-14T19:04:31.529Z + card-last-reviewed:: 2022-11-14T20:04:31.529Z + card-last-score:: 5 + - **Utility Software** is system software designed to help **analyse**, **configure**, **optimise**, or **maintain** a computer. + - Examples include data compression, disk cleaners, disk defragmentation, registry cleaners, or system monitors. +- +- # Resources + collapsed:: true + - What are **Resources**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:28:34.225Z + card-last-score:: 1 + - Different hardware components that a program may access are referred to as **resources**. + - Any particular resource, such as a hard disk, has a generic interface that defines how the programmer can make the resource perform a desired operation. + - What is **Resource Abstraction**? #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:01:30.272Z + card-last-reviewed:: 2022-11-14T20:01:30.272Z + card-last-score:: 5 + - Resource Abstraction is done by providing an ^^abstract model of the operation of the hardware components.^^ + - Abstraction generalises the hardware behaviour but ^^restricts its flexibility.^^ + - With abstraction, certain operations become easy to perform, while others may become ^^impossible^^, such as specific hardware control. + - An abstraction can be made to be much simpler than the actual resource interface. + - Simpler resources can be abstracted to a ^^common abstract resource interface.^^ + - ## Resource Sharing + - Abstract & physical resources can be shared among a set of concurrently executing programs. + - What is **Space Multiplex Sharing**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:33:28.408Z + card-last-score:: 1 + - **Space Multiplex Sharing** is when resources can be divided into two or more **distinct units** of the resource that can be used independently. + - E.g., Memory, HDD. + - What is **Time Multiplex Sharing**? #card + card-last-interval:: 0.79 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T10:26:36.497Z + card-last-reviewed:: 2022-11-14T16:26:36.497Z + card-last-score:: 3 + - **Time Multiplex Sharing** is when a process is allocated ^^exclusive control of an entire resource for a short period of time^^ (not **spatially divisible**). + - E.g., the Processor Resource. +- +- # Operating Systems + - ## OS Organisation + collapsed:: true + - ![image.png](../assets/image_1663456127205_0.png) + - What is the **Process & Resource Manager**? #card + card-last-interval:: 0.79 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T10:26:53.305Z + card-last-reviewed:: 2022-11-14T16:26:53.305Z + card-last-score:: 3 + - The **Process & Resource Manager** handles ^^resource allocation.^^ + - It uses the abstraction provided by the other managers. + - What is the **Memory Manager**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-22T18:34:34.745Z + card-last-reviewed:: 2022-11-18T18:34:34.745Z + card-last-score:: 3 + - Besides other functions, the **Memory Manager** is in charge of the ^^implementation of the **virtual memory**.^^ + - It is classically a separate part of the operating system. + - What does the **File Manager** do? #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-11-14T20:14:20.814Z + - The **File Manager** abstracts device I/O operations into a relatively simple operation. + - What is the **Device Manager**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:43:01.202Z + card-last-score:: 1 + - The **Device Manager** handles the details of ^^reading & writing to the physical devices.^^ + - The Device Manager is implemented within the **device driver**. + - ## OS Evolution + collapsed:: true + - ### Computers with no OS + collapsed:: true + - Programming in machine language. + - Lack of I/O devices. + - ### Rudimentary OS + collapsed:: true + - Programming done in Assembly. + :LOGBOOK: + CLOCK: [2022-09-18 Sun 00:46:32] + :END: + - Some basic I/O devices. + - Some I/O control modules - assembler, debugger, loader, linker. + - ### Batch Processing System + collapsed:: true + - Service a collection of **jobs**, called a **batch**, from a **queue**. + - What is a **Job**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:14.338Z + card-last-score:: 1 + - A **Job** is a predefined sequence of commands, programs, and data combined into a single unit. + - Job Control Language and monitor batch (Interpreter for JCL). + - The user doesn't interact with programs while they operate. + - Process Scheduling: **FIFO**. + - Memory is divided into two parts: **system memory** and **program memory**. + - No special jobs for I/O management, as a job has exclusive access to the I/O devices. + - File management. + - ### Operating Systems that use **Multiprogramming** + collapsed:: true + - What is **Multiprogramming**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-21T20:25:39.838Z + card-last-reviewed:: 2022-11-17T20:25:39.838Z + card-last-score:: 3 + - **Mulitprogramming** is the technique of loading multiple programs into **space-multiplexed memory** while **time-mulitplexing** the processor. + - **Timesharing Systems**, **Real-Time Operating Systems**, and **Distributed Operating Systems** all use multiprogramming. + - + - #### Common Features of Multiprogramming Systems #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-26T12:30:04.351Z + card-last-reviewed:: 2022-11-11T11:30:04.352Z + card-last-score:: 3 + - **Multitasking:** multiple processes sharing machine resources. + - **Hardware Support** for memory protection & I/O devices. + - **Multi-user** & **multi-access** support (through time-sharing mechanisms). + - Optional support for **real-time operations** (based on efficient usage of multitasking support). + - Interactive user interface. + - + - #### Time Sharing Systems #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T20:14:17.489Z + card-last-reviewed:: 2022-11-14T20:14:17.489Z + card-last-score:: 3 + - **Time Sharing Systems** have **multiprogramming** & **multi-user** support. + - They use **time slice** (round robin) processor scheduling. + - They have protection & inter-process communication support for Memory Management. + - They have support for the protection & sharing of I/O between users. + - The File Management has protection support & sharing support between users. + - ![image.png](../assets/image_1663504895182_0.png) + - #### Real-Time Operating Systems #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:16:00.838Z + card-last-score:: 1 + - **Real-Time Operating Systems** are used whenever a large number of ^^critical external events^^ have to be treated in a short or ^^limited time interval^^ . + - They have support for multiprogramming / multi-tasking. + - The main goal of Real-Time Operating Systems is the **minimisation of response time** to service the external events. + - + - Processor Scheduling: Priority-based pre-emptive. + - Memory Management: + - Concurrent processes are loaded into the memory. + - Support for protection & inter-process communication. + - I/O Management: + - Critical in time. + - Processes dealing with I/O are directly connected to the **interrupt vectors** (for handling interrupt requests). + - File Management: + - File Management may not be present. + - If it exists, it should comply with the requirements for **Time Sharing** & **Real-Time** systems. + - ![image.png](../assets/image_1663504922118_0.png) + - #### Distributed Operating Systems #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:04:11.371Z + card-last-score:: 1 + - Multiprogramming induces a ^^strong **centralisation** tendency.^^ + - **Distributed Operating Systems** aim for ***decentralisation***. + - Distributed Operating Systems are based on computer **network** technologies, with different communication & synchronisation protocols. + - **Client-Server** application architecture. + - **Security** & **Protection** are the primary concerns. + - ![image.png](../assets/image_1663586535352_0.png){:height 313, :width 318} + - ### Modern Operating Systems + collapsed:: true + - **Modern Operating Systems** take attributes from Batch, Timesharing, Real-Time, & Distributed Operating Systems. + - Batch OS -> Constant load on the processor on low-priority tasks. + - Timesharing OS -> Interactive processes are treated on a time share. + - Real-Time OS-> Critical Processes (i.e., network drivers) are tread according to real-time constraints. + - Distributed OS -> Client-Server model protocols. + - + - ## OS Implementation Considerations + collapsed:: true + - ### Monolithic Operating System #card + collapsed:: true + card-last-interval:: 0.85 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T15:50:22.513Z + card-last-reviewed:: 2022-11-17T19:50:22.513Z + card-last-score:: 3 + - **Monolithic Operating Systems** try to achieve the functional requirements by ^^executing all the code in the same address space^^ to increase the performance of the system. + - They are often too complex to manage. + - ### Hierarchical Operating System #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:29.505Z + card-last-score:: 1 + - **Hierarchical Operating Systems** run most of their services in the **user space**, aiming to improve maintainability & modularity of the codebase. + - Suitable for Object-Oriented Programming, the levels are very well-defined. + - + - **Multiprogramming:** The illusion that multiple programs are running simultaneously. + - **Protection:** Access to shared system resources. + - **Processor Modes:** Different privilege levels. + - Restrictions on the operations that can be run. + - **Kernels:** Complete control over everything in the system (i.e., supervisor). + - ### Multi-Programming #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:23:25.857Z + card-last-score:: 1 + - **Multiprogramming** is a technique that allows the system to present the illusion that multiple programs are running on the computer simultaneously. + - It is achieved by ^^switching rapidly between programs.^^ + - Each program is allowed to execute for a fixed amount of time called a **timeslice**. + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor - this is a **context switch**. + - To do a context switch, the OS copies the contents of the current program register file into memory, restores the contents of the next program's register file into the processor, and starts executing the next program. + - From the program POV, they can't tell that a context switch has been performed. + - **Protection** between multi-programmed programs is very important. + - Many multiprogrammed computers are **multi-user** - they allow multiple persons to be logged on at a time. + - Besides Protection, data **privacy** is also important. + - ### Protection #card + card-last-interval:: 7.44 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-22T02:35:46.684Z + card-last-reviewed:: 2022-11-14T16:35:46.685Z + card-last-score:: 3 + - The result of any program running on a multiprogrammed computer ^^must be the same^^ as if the program was the only program running on the computer. + - Programs ^^must not be able to access other program's data^^ and must be confident that their data will not be modified by other programs. + - Programs ^^must not interfere with other program's use of I/O devices.^^ + - **Protection** is achieved by having the ^^OS have full control over the resources of the system^^ (processor, memory, & I/O devices). + - + - **Virtual Memory** is one of the techniques used to achieve protection between programs. + - Each program operates as if it were the only program on the computer, occupying a full set of the address space as in its virtual space. + - The OS is **translating** memory addresses that the program references into physical addresses used by the memory system. + - As long two program's addresses are not translated to the same address space, programs can be written as if they were the only ones running on the machine. + - ### Processor Modes + collapsed:: true + - What are **Processor Modes**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-25T13:06:30.927Z + card-last-reviewed:: 2022-11-21T13:06:30.928Z + card-last-score:: 5 + - **Processor Modes** are operating modes for the CPU that ^^place restrictions^^ on the operations that can be performed by the currently running process. + - Hardware supported CPU modes help the OS to ^^enforce rules^^ that would prevent viruses, spyware, & similar malware from running. + - Only very specific & limited "kernel" code would run unrestricted. + - Any other software (including portions of the OS), would run restricted and would have to ask the "kernel" for permission to modify anything that could compromise the system. + - Multiple mode levels could be designed. + - + - The **mode bit** is used to define the **execution capability** of a program on a processor. + - The mode bit may be logically extended to define areas of memory to be used when the processor is in supervisor mode, versus when it is in user mode. + - #### Supervisor Mode #card + card-last-interval:: 31.05 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-15T21:10:41.635Z + card-last-reviewed:: 2022-11-14T20:10:41.635Z + card-last-score:: 3 + - The processor can execute ^^any instruction.^^ + - Instructions that can be executed only in supervisor mode are called *supervisor*, *privileged*, or *protected* instructions. (E.g., I/O instructions). + - The executing process has access on both memory spaces. + - #### User Mode #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:42:47.325Z + card-last-score:: 1 + - The processor can execute only a ^^subset of the instruction set.^^ + - The executing process has access only to the ^^user space.^^ + - Some processors do not differentiate between protected mode & user mode. + - + - #### Privileged Mode + - To ensure that the OS is the only one that can control the physical resources, it executes in **Privileged Mode**. + - The OS is also responsible for **Low-Level UI** + - When keys are pressed, the OS is responsible to determine which program should receive the input. + - When a program wants to display some output, the user program executes some system call that displays the data. + - User programs execute in **User Mode** + - When User Mode programs want to execute something that requires privileged rights, it sends a request to the OS, known as a **system call**, that asks the OS to do the operation for them. + - + - + - ## Kernel + collapsed:: true + - What is the **Kernel**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:09:50.119Z + card-last-reviewed:: 2022-11-14T20:09:50.120Z + card-last-score:: 5 + - The **Kernel** (sometimes called the **nucleus**) is the part of the operating system that executes in supervisor mode. + - The Kernel operates as **trusted** software + - It implements protection mechanisms that cannot be changed through the actions of un-trusted software executing in user mode. + - It provides the lowest level abstraction layer for resources (memory, processors, and IO devices). + - A fundamental design decision: Should a given function of the OS be incorporated in the kernel or not? + - Protection issues. + - Performance issues. + - ## Methods for Requesting System Services + - 1. Through a **Command Line Interface** + - By calling a specific command. + - Using a command interpreter known as a **shell**. + - #### Command Execution Mechanism #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:27:04.739Z + card-last-score:: 1 + - A key pressed by the user generates a hardware interrupt. + - A specialised module of the OS reads the keyed character and stores it in a special command line buffer. + - There are special characters (e.g., to edit the command line) that are not stored in the command line buffer. + - Control is taken by the shell (command interpreter) when an **end of line** is detected. + - The command is **analysed** (with error or success). + - If successful, the shell decides if it is an **internal** or **external** command (for another module). + - If **internal:** the shell tries the execution, which can end successfully or with an error. + - If **external:** the shell looks for the corresponding executable file & executes it with the detected parameters from the previous phrase. + - 2. From user processes requesting services from the OS + - #### System Call + - The parameters of the call are passed according to the **specific OS convention** & hardware architecture. + - Switch to **protected (supervisor) mode** using a specific mechanism. + - E.g., software interrupt, trap, special instruction of type "call supervisor". + - This mechanism is different to a normal call. + - A **special module** takes over, that will analyse the parameters & their access rights. + - This module can reject the system call. + - If accepted, the **corresponding routine** from the OS is executed and the **result** is returned to the user. + - Upon return, the user mode is returned. + - #### Message + - The user process ^^constructs a **message** (A) that describes a desired service.^^ + - It uses the **send** function to pass the message to a trusted operating system process. + - The send function checks the message, switches the processor to **protected mode**, & then delivers the message to the process that implements the target function. + - Meanwhile, the user waits for a result with a **message receive** operation. + - When the kernel finishes processing the request, it sends a message (B) back to the user process. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-11-23T12_15_36.876Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-11-23T12_15_36.876Z.Desktop.md new file mode 100644 index 00000000..b921cc2a --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/System Software & Operating Systems/2022-11-23T12_15_36.876Z.Desktop.md @@ -0,0 +1,404 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Programming Models]] +- **Next Topic:** [[Process Management]] +- **Relevant Slides:** ![Lecture 3.pdf](../assets/Lecture_3_1663453274726_0.pdf) + id:: 6326480d-27b6-4d5f-a1d4-5c446ceef351 +- +- # Types of Software + - What is **Application Software**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T06:02:33.036Z + card-last-reviewed:: 2022-11-14T20:02:33.036Z + card-last-score:: 5 + - **Application Software** is a computer program designed to perform a group of coordinated functions for the benefit of the user. + - It is designed solve a specific problem. + - What is **System Software**? #card + card-last-interval:: 31.05 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-15T21:10:52.302Z + card-last-reviewed:: 2022-11-14T20:10:52.302Z + card-last-score:: 3 + - **System Software** is a program dedicated to ^^managing the computer.^^ + - It provides a platform to other software & a general programming environment. + - There are two main types of system software: + - **Operating System** + - **Utility Software** + - What is the **Operating System (OS)**? #card + card-last-interval:: 29.99 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-14T19:04:40.695Z + card-last-reviewed:: 2022-11-14T20:04:40.696Z + card-last-score:: 5 + - The **Operating System** provides functions used by the **application software**. + - It provides the mechanisms for application software to **share** the hardware in an orderly fashion to: + - **Increase the overall performance** by allowing different application software to use different parts of the computer at the same time. + - **Decrease the time to execute** a collection of programs and, again, increase the overall performance + - The OS interacts directly with the hardware to provide an interface to other system software and with application software whenever the application software wants to use the system's resources. + - The OS is **application-domain independent**, provides **resource abstraction**, and provides **resources sharing** through strict resource management policies. + - What is **Utility Software**? #card + card-last-interval:: 29.99 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-14T19:04:31.529Z + card-last-reviewed:: 2022-11-14T20:04:31.529Z + card-last-score:: 5 + - **Utility Software** is system software designed to help **analyse**, **configure**, **optimise**, or **maintain** a computer. + - Examples include data compression, disk cleaners, disk defragmentation, registry cleaners, or system monitors. +- +- # Resources + collapsed:: true + - What are **Resources**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:28:34.225Z + card-last-score:: 1 + - Different hardware components that a program may access are referred to as **resources**. + - Any particular resource, such as a hard disk, has a generic interface that defines how the programmer can make the resource perform a desired operation. + - What is **Resource Abstraction**? #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:01:30.272Z + card-last-reviewed:: 2022-11-14T20:01:30.272Z + card-last-score:: 5 + - Resource Abstraction is done by providing an ^^abstract model of the operation of the hardware components.^^ + - Abstraction generalises the hardware behaviour but ^^restricts its flexibility.^^ + - With abstraction, certain operations become easy to perform, while others may become ^^impossible^^, such as specific hardware control. + - An abstraction can be made to be much simpler than the actual resource interface. + - Simpler resources can be abstracted to a ^^common abstract resource interface.^^ + - ## Resource Sharing + - Abstract & physical resources can be shared among a set of concurrently executing programs. + - What is **Space Multiplex Sharing**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:33:28.408Z + card-last-score:: 1 + - **Space Multiplex Sharing** is when resources can be divided into two or more **distinct units** of the resource that can be used independently. + - E.g., Memory, HDD. + - What is **Time Multiplex Sharing**? #card + card-last-interval:: 0.79 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T10:26:36.497Z + card-last-reviewed:: 2022-11-14T16:26:36.497Z + card-last-score:: 3 + - **Time Multiplex Sharing** is when a process is allocated ^^exclusive control of an entire resource for a short period of time^^ (not **spatially divisible**). + - E.g., the Processor Resource. +- +- # Operating Systems + - ## OS Organisation + collapsed:: true + - ![image.png](../assets/image_1663456127205_0.png) + - What is the **Process & Resource Manager**? #card + card-last-interval:: 0.79 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T10:26:53.305Z + card-last-reviewed:: 2022-11-14T16:26:53.305Z + card-last-score:: 3 + - The **Process & Resource Manager** handles ^^resource allocation.^^ + - It uses the abstraction provided by the other managers. + - What is the **Memory Manager**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-22T18:34:34.745Z + card-last-reviewed:: 2022-11-18T18:34:34.745Z + card-last-score:: 3 + - Besides other functions, the **Memory Manager** is in charge of the ^^implementation of the **virtual memory**.^^ + - It is classically a separate part of the operating system. + - What does the **File Manager** do? #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-11-14T20:14:20.814Z + - The **File Manager** abstracts device I/O operations into a relatively simple operation. + - What is the **Device Manager**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:43:01.202Z + card-last-score:: 1 + - The **Device Manager** handles the details of ^^reading & writing to the physical devices.^^ + - The Device Manager is implemented within the **device driver**. + - ## OS Evolution + collapsed:: true + - ### Computers with no OS + collapsed:: true + - Programming in machine language. + - Lack of I/O devices. + - ### Rudimentary OS + collapsed:: true + - Programming done in Assembly. + :LOGBOOK: + CLOCK: [2022-09-18 Sun 00:46:32] + :END: + - Some basic I/O devices. + - Some I/O control modules - assembler, debugger, loader, linker. + - ### Batch Processing System + collapsed:: true + - Service a collection of **jobs**, called a **batch**, from a **queue**. + - What is a **Job**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:14.338Z + card-last-score:: 1 + - A **Job** is a predefined sequence of commands, programs, and data combined into a single unit. + - Job Control Language and monitor batch (Interpreter for JCL). + - The user doesn't interact with programs while they operate. + - Process Scheduling: **FIFO**. + - Memory is divided into two parts: **system memory** and **program memory**. + - No special jobs for I/O management, as a job has exclusive access to the I/O devices. + - File management. + - ### Operating Systems that use **Multiprogramming** + collapsed:: true + - What is **Multiprogramming**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-21T20:25:39.838Z + card-last-reviewed:: 2022-11-17T20:25:39.838Z + card-last-score:: 3 + - **Mulitprogramming** is the technique of loading multiple programs into **space-multiplexed memory** while **time-mulitplexing** the processor. + - **Timesharing Systems**, **Real-Time Operating Systems**, and **Distributed Operating Systems** all use multiprogramming. + - + - #### Common Features of Multiprogramming Systems #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-26T12:30:04.351Z + card-last-reviewed:: 2022-11-11T11:30:04.352Z + card-last-score:: 3 + - **Multitasking:** multiple processes sharing machine resources. + - **Hardware Support** for memory protection & I/O devices. + - **Multi-user** & **multi-access** support (through time-sharing mechanisms). + - Optional support for **real-time operations** (based on efficient usage of multitasking support). + - Interactive user interface. + - + - #### Time Sharing Systems #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T20:14:17.489Z + card-last-reviewed:: 2022-11-14T20:14:17.489Z + card-last-score:: 3 + - **Time Sharing Systems** have **multiprogramming** & **multi-user** support. + - They use **time slice** (round robin) processor scheduling. + - They have protection & inter-process communication support for Memory Management. + - They have support for the protection & sharing of I/O between users. + - The File Management has protection support & sharing support between users. + - ![image.png](../assets/image_1663504895182_0.png) + - #### Real-Time Operating Systems #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:16:00.838Z + card-last-score:: 1 + - **Real-Time Operating Systems** are used whenever a large number of ^^critical external events^^ have to be treated in a short or ^^limited time interval^^ . + - They have support for multiprogramming / multi-tasking. + - The main goal of Real-Time Operating Systems is the **minimisation of response time** to service the external events. + - + - Processor Scheduling: Priority-based pre-emptive. + - Memory Management: + - Concurrent processes are loaded into the memory. + - Support for protection & inter-process communication. + - I/O Management: + - Critical in time. + - Processes dealing with I/O are directly connected to the **interrupt vectors** (for handling interrupt requests). + - File Management: + - File Management may not be present. + - If it exists, it should comply with the requirements for **Time Sharing** & **Real-Time** systems. + - ![image.png](../assets/image_1663504922118_0.png) + - #### Distributed Operating Systems #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:04:11.371Z + card-last-score:: 1 + - Multiprogramming induces a ^^strong **centralisation** tendency.^^ + - **Distributed Operating Systems** aim for ***decentralisation***. + - Distributed Operating Systems are based on computer **network** technologies, with different communication & synchronisation protocols. + - **Client-Server** application architecture. + - **Security** & **Protection** are the primary concerns. + - ![image.png](../assets/image_1663586535352_0.png){:height 313, :width 318} + - ### Modern Operating Systems + collapsed:: true + - **Modern Operating Systems** take attributes from Batch, Timesharing, Real-Time, & Distributed Operating Systems. + - Batch OS -> Constant load on the processor on low-priority tasks. + - Timesharing OS -> Interactive processes are treated on a time share. + - Real-Time OS-> Critical Processes (i.e., network drivers) are tread according to real-time constraints. + - Distributed OS -> Client-Server model protocols. + - + - ## OS Implementation Considerations + collapsed:: true + - ### Monolithic Operating System #card + collapsed:: true + card-last-interval:: 0.85 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T15:50:22.513Z + card-last-reviewed:: 2022-11-17T19:50:22.513Z + card-last-score:: 3 + - **Monolithic Operating Systems** try to achieve the functional requirements by ^^executing all the code in the same address space^^ to increase the performance of the system. + - They are often too complex to manage. + - ### Hierarchical Operating System #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:29.505Z + card-last-score:: 1 + - **Hierarchical Operating Systems** run most of their services in the **user space**, aiming to improve maintainability & modularity of the codebase. + - Suitable for Object-Oriented Programming, the levels are very well-defined. + - + - **Multiprogramming:** The illusion that multiple programs are running simultaneously. + - **Protection:** Access to shared system resources. + - **Processor Modes:** Different privilege levels. + - Restrictions on the operations that can be run. + - **Kernels:** Complete control over everything in the system (i.e., supervisor). + - ### Multi-Programming #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:23:25.857Z + card-last-score:: 1 + - **Multiprogramming** is a technique that allows the system to present the illusion that multiple programs are running on the computer simultaneously. + - It is achieved by ^^switching rapidly between programs.^^ + - Each program is allowed to execute for a fixed amount of time called a **timeslice**. + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor - this is a **context switch**. + - To do a context switch, the OS copies the contents of the current program register file into memory, restores the contents of the next program's register file into the processor, and starts executing the next program. + - From the program POV, they can't tell that a context switch has been performed. + - **Protection** between multi-programmed programs is very important. + - Many multiprogrammed computers are **multi-user** - they allow multiple persons to be logged on at a time. + - Besides Protection, data **privacy** is also important. + - ### Protection #card + card-last-interval:: 7.44 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-22T02:35:46.684Z + card-last-reviewed:: 2022-11-14T16:35:46.685Z + card-last-score:: 3 + - The result of any program running on a multiprogrammed computer ^^must be the same^^ as if the program was the only program running on the computer. + - Programs ^^must not be able to access other program's data^^ and must be confident that their data will not be modified by other programs. + - Programs ^^must not interfere with other program's use of I/O devices.^^ + - **Protection** is achieved by having the ^^OS have full control over the resources of the system^^ (processor, memory, & I/O devices). + - + - **Virtual Memory** is one of the techniques used to achieve protection between programs. + - Each program operates as if it were the only program on the computer, occupying a full set of the address space as in its virtual space. + - The OS is **translating** memory addresses that the program references into physical addresses used by the memory system. + - As long two program's addresses are not translated to the same address space, programs can be written as if they were the only ones running on the machine. + - ### Processor Modes + collapsed:: true + - What are **Processor Modes**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-25T13:06:30.927Z + card-last-reviewed:: 2022-11-21T13:06:30.928Z + card-last-score:: 5 + - **Processor Modes** are operating modes for the CPU that ^^place restrictions^^ on the operations that can be performed by the currently running process. + - Hardware supported CPU modes help the OS to ^^enforce rules^^ that would prevent viruses, spyware, & similar malware from running. + - Only very specific & limited "kernel" code would run unrestricted. + - Any other software (including portions of the OS), would run restricted and would have to ask the "kernel" for permission to modify anything that could compromise the system. + - Multiple mode levels could be designed. + - + - The **mode bit** is used to define the **execution capability** of a program on a processor. + - The mode bit may be logically extended to define areas of memory to be used when the processor is in supervisor mode, versus when it is in user mode. + - #### Supervisor Mode #card + card-last-interval:: 31.05 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-15T21:10:41.635Z + card-last-reviewed:: 2022-11-14T20:10:41.635Z + card-last-score:: 3 + - The processor can execute ^^any instruction.^^ + - Instructions that can be executed only in supervisor mode are called *supervisor*, *privileged*, or *protected* instructions. (E.g., I/O instructions). + - The executing process has access on both memory spaces. + - #### User Mode #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:42:47.325Z + card-last-score:: 1 + - The processor can execute only a ^^subset of the instruction set.^^ + - The executing process has access only to the ^^user space.^^ + - Some processors do not differentiate between protected mode & user mode. + - + - #### Privileged Mode + - To ensure that the OS is the only one that can control the physical resources, it executes in **Privileged Mode**. + - The OS is also responsible for **Low-Level UI** + - When keys are pressed, the OS is responsible to determine which program should receive the input. + - When a program wants to display some output, the user program executes some system call that displays the data. + - User programs execute in **User Mode** + - When User Mode programs want to execute something that requires privileged rights, it sends a request to the OS, known as a **system call**, that asks the OS to do the operation for them. + - + - + - ## Kernel + collapsed:: true + - What is the **Kernel**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:09:50.119Z + card-last-reviewed:: 2022-11-14T20:09:50.120Z + card-last-score:: 5 + - The **Kernel** (sometimes called the **nucleus**) is the part of the operating system that executes in supervisor mode. + - The Kernel operates as **trusted** software + - It implements protection mechanisms that cannot be changed through the actions of un-trusted software executing in user mode. + - It provides the lowest level abstraction layer for resources (memory, processors, and IO devices). + - A fundamental design decision: Should a given function of the OS be incorporated in the kernel or not? + - Protection issues. + - Performance issues. + - ## Methods for Requesting System Services + - 1. Through a **Command Line Interface** + - By calling a specific command. + - Using a command interpreter known as a **shell**. + - #### Command Execution Mechanism #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:27:04.739Z + card-last-score:: 1 + - A key pressed by the user generates a hardware interrupt. + - A specialised module of the OS reads the keyed character and stores it in a special command line buffer. + - There are special characters (e.g., to edit the command line) that are not stored in the command line buffer. + - Control is taken by the shell (command interpreter) when an **end of line** is detected. + - The command is **analysed** (with error or success). + - If successful, the shell decides if it is an **internal** or **external** command (for another module). + - If **internal:** the shell tries the execution, which can end successfully or with an error. + - If **external:** the shell looks for the corresponding executable file & executes it with the detected parameters from the previous phrase. + - 2. From user processes requesting services from the OS + - #### System Call + - The parameters of the call are passed according to the **specific OS convention** & hardware architecture. + - Switch to **protected (supervisor) mode** using a specific mechanism. + - E.g., software interrupt, trap, special instruction of type "call supervisor". + - This mechanism is different to a normal call. + - A **special module** takes over, that will analyse the parameters & their access rights. + - This module can reject the system call. + - If accepted, the **corresponding routine** from the OS is executed and the **result** is returned to the user. + - Upon return, the user mode is returned. + - #### Message + - The user process ^^constructs a **message** (A) that describes a desired service.^^ + - It uses the **send** function to pass the message to a trusted operating system process. + - The send function checks the message, switches the processor to **protected mode**, & then delivers the message to the process that implements the target function. + - Meanwhile, the user waits for a result with a **message receive** operation. + - When the kernel finishes processing the request, it sends a message (B) back to the user process. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/The Normal Distribution/2022-10-18T14_40_53.173Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/The Normal Distribution/2022-10-18T14_40_53.173Z.Desktop.md new file mode 100644 index 00000000..1576e926 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/The Normal Distribution/2022-10-18T14_40_53.173Z.Desktop.md @@ -0,0 +1,72 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Discrete Probability Distributions: Binomial & Poisson]] +- **Next Topic:** +- **Relevant Slides:** ![Topic 7 - Normal Distribution.pdf](../assets/Topic_7_-_Normal_Distribution_1665655416597_0.pdf) +- +- What is a **Normal Distribution**? #card + - A random variable $X$ with probability distribution function + - $$f(x) = \frac{1}{\sqrt{2\pi\sigma^2}}e^{\frac{(x - \mu)^2}{2 \sigma^2}} -\infty < x < \infty$$ + - is a **normal random variable** with parameters $\mu$ & $\sigma$ (where $\infty < \mu < \infty$ and $\sigma > 0$) where $\mu$ is the mean and $\sigma$ is the standard deviation. + - Write $X \sim N(\mu, \sigma^2)$. + - ![image.png](../assets/image_1665656362242_0.png) +- # Features of the Normal Distribution #card + - Also called the **Gaussian Distribution**. + - The **pdf** (probability density function) is a **bell-shaped curve**. + - The distribution of many types of observations can be approximated by a Normal Distribution. + - Single mode. + - Symettric. + - Model for continuous measurements. +- # Examples of Normal Distributions + collapsed:: true + - ## Normal Curves with $\mu_i = \mu_2$ and $\sigma_1 < \sigma_2$ + - ![image.png](../assets/image_1665656431162_0.png) + - ## Normal Curves with $\mu_1 < \mu_2$ and $\sigma_1 < \sigma_2$ + - ![image.png](../assets/image_1665656481794_0.png) + - +- # Empirical Rule for a Normal Distribution #card + collapsed:: true + - For any normal random variable: + - $$P(\mu - \sigma < X < \mu + \sigma) = 0.6827$$ + - $$P(\mu - 2\sigma < X < \mu + 2\sigma) = 0.9545$$ + - $$P(\mu - 3\sigma < X < \mu + 3\sigma) = 0.9973$$ + - ![image.png](../assets/image_1665656707958_0.png){:height 251, :width 426} + - ## The 68-95-99.7 Rule + - Normal models give us an idea of how extreme a value is by telling us how likely it is to find one that far from the mean. + - In a normal model: + - About 68% of the values within **one standard deviation** from the mean. + - About 95% of the values fall within **two standard deviations** of the mean. + - About 99.7% of the values fall within **three standard deviations** of the mean. + - +- # Areas Under a Normal Curve #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-17T23:00:00.000Z + card-last-reviewed:: 2022-10-17T13:27:46.734Z + card-last-score:: 1 + collapsed:: true + - To calculate a probability in a range under a normal distribution. + - $$P(x_1 < X < x_2) = \int_{x_1}^{x_2} \frac{1}{\sqrt{2\pi\sigma^2}}e^{\frac{(x - \mu)^2)}{2\sigma^2}}dx$$ + - For example. $P(x_1 < X < x_2) =$ area of the shaded region. + - ![image.png](../assets/image_1665657089191_0.png){:height 225, :width 444} + - +- # z-scores + collapsed:: true + - What is a **z-score**? #card + - A **z-score** reports the number of standard deviations from the mean. + - For example, a z-score of 2 indicates that the observation is two standard deviations above the mean. + - ## Converting to z-scores #card + - To convert a random variable $X$ which follows a $N(\mu, \sigma^2)$ to a random variable $Z$ that follows a standard normal $N(0,1)$, calculate $Z$ as: + - $$Z = \frac{X - \mu}{\sigma}$$ + - Convert $X \sim N(100,100)$ to a random variable $Z$ such that $Z \sim N(0,1)$. + - +- # Cumulative Distribution Functions + collapsed:: true + - How is the **cumulative distribution function** of a standard normal random variable denoted? #card + - The **cumulative distribution function** of a standard normal random variable is denoted as $\Phi(z) = P(Z \leq z)$ + - +- # Normal Approximation to the Poisson + - If $X$ is a Poisson random variable with $E(X) + \lambda$ and $V(X) = \lambda$, + - $$Z = \frac{X-\lambda}{\sqrt{\lambda}}$$ + - The approximation is good for $\lambda \geq 5$. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/The Normal Distribution/2022-10-20T09_05_58.010Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/The Normal Distribution/2022-10-20T09_05_58.010Z.Desktop.md new file mode 100644 index 00000000..ab5c27d3 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/The Normal Distribution/2022-10-20T09_05_58.010Z.Desktop.md @@ -0,0 +1,108 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Discrete Probability Distributions: Binomial & Poisson]] +- **Next Topic:** +- **Relevant Slides:** ![Topic 7 - Normal Distribution.pdf](../assets/Topic_7_-_Normal_Distribution_1665655416597_0.pdf) +- +- What is a **Normal Distribution**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:35:17.123Z + card-last-score:: 1 + - A random variable $X$ with probability distribution function + - $$f(x) = \frac{1}{\sqrt{2\pi\sigma^2}}e^{\frac{(x - \mu)^2}{2 \sigma^2}} -\infty < x < \infty$$ + - is a **normal random variable** with parameters $\mu$ & $\sigma$ (where $\infty < \mu < \infty$ and $\sigma > 0$) where $\mu$ is the mean and $\sigma$ is the standard deviation. + - Write $X \sim N(\mu, \sigma^2)$. + - ![image.png](../assets/image_1665656362242_0.png) +- # Features of the Normal Distribution #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:35:25.945Z + card-last-score:: 1 + - Also called the **Gaussian Distribution**. + - The **pdf** (probability density function) is a **bell-shaped curve**. + - The distribution of many types of observations can be approximated by a Normal Distribution. + - Single mode. + - Symettric. + - Model for continuous measurements. +- # Examples of Normal Distributions + collapsed:: true + - ## Normal Curves with $\mu_i = \mu_2$ and $\sigma_1 < \sigma_2$ + - ![image.png](../assets/image_1665656431162_0.png) + - ## Normal Curves with $\mu_1 < \mu_2$ and $\sigma_1 < \sigma_2$ + - ![image.png](../assets/image_1665656481794_0.png) + - +- # Empirical Rule for a Normal Distribution #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:35:41.862Z + card-last-score:: 1 + collapsed:: true + - For any normal random variable: + - $$P(\mu - \sigma < X < \mu + \sigma) = 0.6827$$ + - $$P(\mu - 2\sigma < X < \mu + 2\sigma) = 0.9545$$ + - $$P(\mu - 3\sigma < X < \mu + 3\sigma) = 0.9973$$ + - ![image.png](../assets/image_1665656707958_0.png){:height 251, :width 426} + - ## The 68-95-99.7 Rule + - Normal models give us an idea of how extreme a value is by telling us how likely it is to find one that far from the mean. + - In a normal model: + - About 68% of the values within **one standard deviation** from the mean. + - About 95% of the values fall within **two standard deviations** of the mean. + - About 99.7% of the values fall within **three standard deviations** of the mean. + - +- # Areas Under a Normal Curve #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-17T23:00:00.000Z + card-last-reviewed:: 2022-10-17T13:27:46.734Z + card-last-score:: 1 + collapsed:: true + - To calculate a probability in a range under a normal distribution. + - $$P(x_1 < X < x_2) = \int_{x_1}^{x_2} \frac{1}{\sqrt{2\pi\sigma^2}}e^{\frac{(x - \mu)^2)}{2\sigma^2}}dx$$ + - For example. $P(x_1 < X < x_2) =$ area of the shaded region. + - ![image.png](../assets/image_1665657089191_0.png){:height 225, :width 444} + - +- # z-scores + collapsed:: true + - What is a **z-score**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:20.536Z + card-last-score:: 1 + - A **z-score** reports the number of standard deviations from the mean. + - For example, a z-score of 2 indicates that the observation is two standard deviations above the mean. + - ## Converting to z-scores #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:33:04.367Z + card-last-score:: 1 + - To convert a random variable $X$ which follows a $N(\mu, \sigma^2)$ to a random variable $Z$ that follows a standard normal $N(0,1)$, calculate $Z$ as: + - $$Z = \frac{X - \mu}{\sigma}$$ + - Convert $X \sim N(100,100)$ to a random variable $Z$ such that $Z \sim N(0,1)$. + - +- # Cumulative Distribution Functions + collapsed:: true + - How is the **cumulative distribution function** of a standard normal random variable denoted? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:36:21.295Z + card-last-score:: 1 + - The **cumulative distribution function** of a standard normal random variable is denoted as $\Phi(z) = P(Z \leq z)$ + - +- # Normal Approximation to the Poisson + - If $X$ is a Poisson random variable with $E(X) + \lambda$ and $V(X) = \lambda$, + - $$Z = \frac{X-\lambda}{\sqrt{\lambda}}$$ + - The approximation is good for $\lambda \geq 5$. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/The Normal Distribution/2022-11-16T12_02_11.498Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/The Normal Distribution/2022-11-16T12_02_11.498Z.Desktop.md new file mode 100644 index 00000000..53e6a449 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/The Normal Distribution/2022-11-16T12_02_11.498Z.Desktop.md @@ -0,0 +1,118 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Discrete Probability Distributions: Binomial & Poisson]] +- **Next Topic:** [[Sampling Distributions & Confidence Intervals]] +- **Relevant Slides:** ![Topic 7 - Normal Distribution.pdf](../assets/Topic_7_-_Normal_Distribution_1665655416597_0.pdf) +- +- What is a **Normal Distribution**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:07:27.457Z + card-last-score:: 1 + id:: 63510f7d-d646-41b8-82d7-8634c840892e + - A random variable $X$ with probability distribution function + - $$f(x) = \frac{1}{\sqrt{2\pi\sigma^2}}e^{\frac{(x - \mu)^2}{2 \sigma^2}} -\infty < x < \infty$$ + - is a **normal random variable** with parameters $\mu$ & $\sigma$ (where $\infty < \mu < \infty$ and $\sigma > 0$) where $\mu$ is the mean and $\sigma$ is the standard deviation. + - Write $X \sim N(\mu, \sigma^2)$. + - ![image.png](../assets/image_1665656362242_0.png) +- # Features of the Normal Distribution #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:09:00.438Z + card-last-score:: 1 + - Also called the **Gaussian Distribution**. + - The **pdf** (probability density function) is a **bell-shaped curve**. + - The distribution of many types of observations can be approximated by a Normal Distribution. + - Single mode. + - Symettric. + - Model for continuous measurements. +- # Examples of Normal Distributions + collapsed:: true + - ## Normal Curves with $\mu_i = \mu_2$ and $\sigma_1 < \sigma_2$ + - ![image.png](../assets/image_1665656431162_0.png) + - ## Normal Curves with $\mu_1 < \mu_2$ and $\sigma_1 < \sigma_2$ + - ![image.png](../assets/image_1665656481794_0.png) + - +- # Empirical Rule for a Normal Distribution #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:08:32.008Z + card-last-score:: 1 + collapsed:: true + - For any normal random variable: + - $$P(\mu - \sigma < X < \mu + \sigma) = 0.6827$$ + - $$P(\mu - 2\sigma < X < \mu + 2\sigma) = 0.9545$$ + - $$P(\mu - 3\sigma < X < \mu + 3\sigma) = 0.9973$$ + - ![image.png](../assets/image_1665656707958_0.png){:height 251, :width 426} + - ## The 68-95-99.7 Rule + - Normal models give us an idea of how extreme a value is by telling us how likely it is to find one that far from the mean. + - In a normal model: + - About 68% of the values within **one standard deviation** from the mean. + - About 95% of the values fall within **two standard deviations** of the mean. + - About 99.7% of the values fall within **three standard deviations** of the mean. + - +- # Areas Under a Normal Curve #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:05:26.550Z + card-last-score:: 1 + collapsed:: true + - To calculate a probability in a range under a normal distribution. + - $$P(x_1 < X < x_2) = \int_{x_1}^{x_2} \frac{1}{\sqrt{2\pi\sigma^2}}e^{\frac{(x - \mu)^2)}{2\sigma^2}}dx$$ + - For example. $P(x_1 < X < x_2) =$ area of the shaded region. + - ![image.png](../assets/image_1665657089191_0.png){:height 225, :width 444} + - +- # z-scores + collapsed:: true + - What is a **z-score**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-18T23:00:00.000Z + card-last-reviewed:: 2022-10-18T13:32:20.536Z + card-last-score:: 1 + - A **z-score** reports the number of standard deviations from the mean. + - For example, a z-score of 2 indicates that the observation is two standard deviations above the mean. + - ## Converting to z-scores #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:08:12.257Z + card-last-score:: 1 + - To convert a random variable $X$ which follows a $N(\mu, \sigma^2)$ to a random variable $Z$ that follows a standard normal $N(0,1)$, calculate $Z$ as: + - $$Z = \frac{X - \mu}{\sigma}$$ + - Convert $X \sim N(100,100)$ to a random variable $Z$ such that $Z \sim N(0,1)$. + - +- # Cumulative Distribution Functions + collapsed:: true + - How is the **cumulative distribution function** of a standard normal random variable denoted? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:25:24.229Z + card-last-score:: 1 + - The **cumulative distribution function** of a standard normal random variable is denoted as $\Phi(z) = P(Z \leq z)$ + - +- # Normal Approximation to the Poisson + - If $X$ is a Poisson random variable with $E(X) + \lambda$ and $V(X) = \lambda$, + - $$Z = \frac{X-\lambda}{\sqrt{\lambda}}$$ + - The approximation is good for $\lambda \geq 5$. + - +- # Continuity Correction + - Using the Normal Distribution to approximate a discrete distribution (e.g., Binomial) we need to take into account the fact that the Normal Distribution is **continuous**. + - | $\textbf{Discrete}$ | | $\textbf{Continuous}$ | + | $P(X > k)$ | $\rightarrow$ | $P(X > k + \frac 1 2)$ | + | $P(X \geq k)$ | $\rightarrow$ | $P(X > k - \frac 1 2)$ | + | $P(X < k)$ | $\rightarrow$ | $P(X < k - \frac 1 2)$ | + | $P(X \leq k)$ | $\rightarrow$ | $P(X < k + \frac 1 2)$ | + | $P(k_1 < X < k_2$ | $\rightarrow$ | $P(k_1 + \frac 1 2 < X < k_2 - \frac 1 2)$ | + | $P(k_1 \leq X \leq k_2)$ | $\rightarrow$ | $k_1 - \frac 1 2 < X < k_2 + \frac 1 2$ | \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-09-15T06_32_33.729Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-09-15T06_32_33.729Z.Desktop.md new file mode 100644 index 00000000..c0f27f59 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-09-15T06_32_33.729Z.Desktop.md @@ -0,0 +1,186 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Database System Introduction]] +- **Next Topic:** [[Introduction to SQL & DDL]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1663153689773_0.pdf) +- +- Why learn about relational DBMS? + - 90% of industry / enterprise / business applications are still relational DBMS or relational DBMS with extensions (e.g., OO Relational). + - The majority of industry applications require: + - **Correctness** + - **Completeness** + - **Efficiency** (Complex optimisation techniques & complex indexing structures). + - Relational DBMS provide this. +- +- What is the **Relational Data Model**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-13T23:00:00.000Z + card-last-reviewed:: 2022-09-13T10:38:01.856Z + card-last-score:: 1 + - The **Relational Data Model** consists of collections of **relations** (often called *tables*) where each relation contains **tuples** (*rows*) and **attributes** (*columns*). + - The relational data model is closely related to the file system model. + - Relations are named. +- What is a **relation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-13T23:00:00.000Z + card-last-reviewed:: 2022-09-13T10:40:32.000Z + card-last-score:: 1 + - A table. +- What are **attributes**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-13T23:00:00.000Z + card-last-reviewed:: 2022-09-13T10:42:26.377Z + card-last-score:: 1 + - **Attributes** are columns. + - Columns / attributes are ^^almost always fixed^^ and do not change. +- What are **tuples**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-17T10:44:51.675Z + card-last-reviewed:: 2022-09-13T10:44:51.676Z + card-last-score:: 3 + - **Tuples** are rows. + - Rows contain the data. + - There is a variable number of rows. +- What is the **cardinality** of a relation? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-17T10:18:33.106Z + card-last-reviewed:: 2022-09-13T10:18:33.106Z + card-last-score:: 5 + - The ^^number of tuples in a relation^^ is referred to as the **cardinality** of that relation. +- +- ## Attributes / Columns + - Each attribute belongs to **one** *domain* and has a single: + - Name + - Data Type + - Format + - ### Naming Columns #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-17T10:22:06.825Z + card-last-reviewed:: 2022-09-13T10:22:06.825Z + card-last-score:: 3 + - Case is **not** significant in SQL. + - No spaces allowed. + - No reserved keywords (e.g., date) allowed. + - Choose meaningful variable names. + - If given the names of relations and attributes, use ^^exactly^^ what you are given. + - ### Data Types + - You must ^^specify the **data type**^^ of all attributes (columns) defined. + - Common data types used include: + - **varchar(N)**, where **N** is an integer - used for strings. + - date + - int + - double + - You often must specify the size - especially for integers and strings + - ![image.png](../assets/image_1663057796785_0.png) + - ### NULL + - What are **null-valued attributes**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-17T10:42:34.881Z + card-last-reviewed:: 2022-09-13T10:42:34.881Z + card-last-score:: 3 + - **Null-valued attributes** are what occurs when the values of some attribute within a particular tuple may be unknown or may not apply to that particular tuple. A **null value** is used for these cases. + - **NULL** is a special marker used in SQL to denote the ^^absence of a value.^^ + - In some cases, we wish to allow the possibility of a `NULL` value although they will often require extra handling (e.g., checking `if == NULL`). + - In other cases, we want to prevent `NULL` from being entered as a value and specify `NOT NULL` as a **constraint** on data entry. + - ### Atomic Attributes + - What is an **atomic attribute**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-17T10:18:39.518Z + card-last-reviewed:: 2022-09-13T10:18:39.519Z + card-last-score:: 5 + - An **atomic attribute** is an attribute which contains a ^^single value of the appropriate type^^, generally meaning, "no repeating values of the same type". + - The relational model should **only** have atomic values. + - ### Composite Attributes + - What is a **composite attribute**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-17T10:20:50.125Z + card-last-reviewed:: 2022-09-13T10:20:50.125Z + card-last-score:: 5 + - A **composite attribute** is an attribute that is composed of several atomic attributes. + - E.g., `Name = FirstName, Middle Initial, Surname`. + - We often want to decompose a composite attribute into atomic attributes unless there is a very good reason not to. + - ### Multi-Valued Attributes + - What is a **multi-valued attribute**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-13T23:00:00.000Z + card-last-reviewed:: 2022-09-13T10:27:11.256Z + card-last-score:: 1 + - A **multi-valued attribute** is an attribute which has lower and upper bounds on the number of values for an individual entry. + - The ^^opposite of an atomic attribute.^^ + - The relational model should **not** store multi-valued attributes. + - Database design / redesign should be used to deal with this issue by creating more attributes (columns) or more tables. + - ### Derived Attributes + - What are **derived attributes**? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-17T10:37:14.052Z + card-last-reviewed:: 2022-09-13T10:37:14.052Z + card-last-score:: 5 + - A **derived attribute** is an attribute whose value can be determined from another attribute. + - E.g., you can derive age from birthdate. + - It is a good idea to not directly store attribute which can be derived from other attributes. + - +- ## Collection of Relations + - A Relational Data Model consists of a collection of relations (tables). + - Tables are **cross-linked**. +- + - A relational database usually contains many relations (tables) rather than storing all data in one single relation. + - What is a **Relational Schema**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-13T23:00:00.000Z + card-last-reviewed:: 2022-09-13T10:45:04.824Z + card-last-score:: 1 + - A **relational schema**, $R$, is the ^^definition of a **table** in the database.^^ It can be denoted by listing the table name and the attributes: + - $$R=\{A_1,A_2,...,A_n\}$$ + - where $A_i$ is an attribute. + - E.g., with n=3, `works_on(essn, pno, hours)`. +- ## Linking Tables + - Two ^^extremely important concepts^^ within the relational model which allows tables to be linked & cross-referenced are: + - **Primary Key** attributes. + - **Foreign Key** attributes. + - + - ### Primary Keys + - Fundamental concept of **Primary Keys**: #card + - ^^All tuples (rows) in a relation must be **distinct**.^^ + - To ensure this, we must have one or more attributes / columns whose data values will ^^always be unique for each tuple^^ - these attributes are called **key attributes** and are used to identify a tuple in the relation. + - There may be a few possibilities for the **primary key** - these are called **Candidate Keys**. + - One candidate key is ultimately chosen as the primary key during the Design Stage. + - What is a **Primary Key**? #card + - A **primary key** is defined as one or more attributes per table where: + - there can only be one such primary key per table + - the primary key can never contain the `NULL` value + - all values entered for the primary key must be unique (no duplicates across the rows) + - Often, primary keys are used as indices. + - We use the convention (in writing) that attribute which form primary keys are $\underline{underlined}$. + - + - ### Foreign Keys + - What is a **Foreign Key**? #card + - A **Foreign Key** is an attribute, or a set of attributes, within one table that matches or **links to** a **candidate key** of some other table (possibly the same table). + - More formally: + - Given relations $r_1$ and $r_2$, a **foreign key** of $r_2$ is an attribute (or set of attributes) in $r_2$ where that attribute is a **candidate key** in $r_1$. Relations $r_1$ and $r_2$ may be the same relations. + - #### Foreign Key Terminology + - The **parent**, **master**, or **referenced** table is the relation containing the candidate key(s). + - The **child** or **referencing** table / relation is the relation containing the foreign key. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-09-30T08_54_51.944Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-09-30T08_54_51.944Z.Desktop.md new file mode 100644 index 00000000..07476de8 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-09-30T08_54_51.944Z.Desktop.md @@ -0,0 +1,204 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Database System Introduction]] +- **Next Topic:** [[Introduction to SQL & DDL]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1663153689773_0.pdf) +- +- Why learn about relational DBMS? + - 90% of industry / enterprise / business applications are still relational DBMS or relational DBMS with extensions (e.g., OO Relational). + - The majority of industry applications require: + - **Correctness** + - **Completeness** + - **Efficiency** (Complex optimisation techniques & complex indexing structures). + - Relational DBMS provide this. +- +- What is the **Relational Data Model**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:49:51.544Z + card-last-score:: 1 + - The **Relational Data Model** consists of collections of **relations** (often called *tables*) where each relation contains **tuples** (*rows*) and **attributes** (*columns*). + - The relational data model is closely related to the file system model. + - Relations are named. +- What is a **relation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-18T20:03:40.980Z + card-last-reviewed:: 2022-09-14T20:03:40.980Z + card-last-score:: 5 + - A table. +- What are **attributes**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:48:52.495Z + card-last-score:: 1 + - **Attributes** are columns. + - Columns / attributes are ^^almost always fixed^^ and do not change. +- What are **tuples**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:28:29.960Z + card-last-reviewed:: 2022-09-19T18:28:29.960Z + card-last-score:: 5 + - **Tuples** are rows. + - Rows contain the data. + - There is a variable number of rows. +- What is the **cardinality** of a relation? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:21:58.070Z + card-last-reviewed:: 2022-09-18T15:21:58.070Z + card-last-score:: 5 + - The ^^number of tuples in a relation^^ is referred to as the **cardinality** of that relation. +- +- ## Attributes / Columns + - Each attribute belongs to **one** *domain* and has a single: + - Name + - Data Type + - Format + - ### Naming Columns #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:21:25.028Z + card-last-reviewed:: 2022-09-19T18:21:25.029Z + card-last-score:: 5 + - Case is **not** significant in SQL. + - No spaces allowed. + - No reserved keywords (e.g., date) allowed. + - Choose meaningful variable names. + - If given the names of relations and attributes, use ^^exactly^^ what you are given. + - ### Data Types + - You must ^^specify the **data type**^^ of all attributes (columns) defined. + - Common data types used include: + - **varchar(N)**, where **N** is an integer - used for strings. + - date + - int + - double + - You often must specify the size - especially for integers and strings + - ![image.png](../assets/image_1663057796785_0.png) + - ### NULL + - What are **null-valued attributes**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:27:27.406Z + card-last-reviewed:: 2022-09-19T18:27:27.407Z + card-last-score:: 5 + - **Null-valued attributes** are what occurs when the values of some attribute within a particular tuple may be unknown or may not apply to that particular tuple. A **null value** is used for these cases. + - **NULL** is a special marker used in SQL to denote the ^^absence of a value.^^ + - In some cases, we wish to allow the possibility of a `NULL` value although they will often require extra handling (e.g., checking `if == NULL`). + - In other cases, we want to prevent `NULL` from being entered as a value and specify `NOT NULL` as a **constraint** on data entry. + - ### Atomic Attributes + - What is an **atomic attribute**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:22:04.435Z + card-last-reviewed:: 2022-09-18T15:22:04.435Z + card-last-score:: 5 + - An **atomic attribute** is an attribute which contains a ^^single value of the appropriate type^^, generally meaning, "no repeating values of the same type". + - The relational model should **only** have atomic values. + - ### Composite Attributes + - What is a **composite attribute**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:05:38.659Z + card-last-reviewed:: 2022-09-19T18:05:38.659Z + card-last-score:: 5 + - A **composite attribute** is an attribute that is composed of several atomic attributes. + - E.g., `Name = FirstName, Middle Initial, Surname`. + - We often want to decompose a composite attribute into atomic attributes unless there is a very good reason not to. + - ### Multi-Valued Attributes + - What is a **multi-valued attribute**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T20:03:53.193Z + card-last-reviewed:: 2022-09-14T20:03:53.193Z + card-last-score:: 3 + - A **multi-valued attribute** is an attribute which has lower and upper bounds on the number of values for an individual entry. + - The ^^opposite of an atomic attribute.^^ + - The relational model should **not** store multi-valued attributes. + - Database design / redesign should be used to deal with this issue by creating more attributes (columns) or more tables. + - ### Derived Attributes + - What are **derived attributes**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:23:44.975Z + card-last-reviewed:: 2022-09-19T18:23:44.975Z + card-last-score:: 5 + - A **derived attribute** is an attribute whose value can be determined from another attribute. + - E.g., you can derive age from birthdate. + - It is a good idea to not directly store attribute which can be derived from other attributes. + - +- ## Collection of Relations + - A Relational Data Model consists of a collection of relations (tables). + - Tables are **cross-linked**. +- + - A relational database usually contains many relations (tables) rather than storing all data in one single relation. + - What is a **Relational Schema**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:49:38.036Z + card-last-score:: 1 + - A **relational schema**, $R$, is the ^^definition of a **table** in the database.^^ It can be denoted by listing the table name and the attributes: + - $$R=\{A_1,A_2,...,A_n\}$$ + - where $A_i$ is an attribute. + - E.g., with n=3, `works_on(essn, pno, hours)`. +- ## Linking Tables + - Two ^^extremely important concepts^^ within the relational model which allows tables to be linked & cross-referenced are: + - **Primary Key** attributes. + - **Foreign Key** attributes. + - + - ### Primary Keys + - Fundamental concept of **Primary Keys**: #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:31:53.297Z + card-last-reviewed:: 2022-09-19T18:31:53.298Z + card-last-score:: 5 + - ^^All tuples (rows) in a relation must be **distinct**.^^ + - To ensure this, we must have one or more attributes / columns whose data values will ^^always be unique for each tuple^^ - these attributes are called **key attributes** and are used to identify a tuple in the relation. + - There may be a few possibilities for the **primary key** - these are called **Candidate Keys**. + - One candidate key is ultimately chosen as the primary key during the Design Stage. + - What is a **Primary Key**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T18:33:57.863Z + card-last-reviewed:: 2022-09-19T18:33:57.864Z + card-last-score:: 3 + - A **primary key** is defined as one or more attributes per table where: + - there can only be one such primary key per table + - the primary key can never contain the `NULL` value + - all values entered for the primary key must be unique (no duplicates across the rows) + - Often, primary keys are used as indices. + - We use the convention (in writing) that attribute which form primary keys are $\text{\underline{underlined}}$. + - + - ### Foreign Keys + - What is a **Foreign Key**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-30T12:18:31.019Z + card-last-reviewed:: 2022-09-26T12:18:31.019Z + card-last-score:: 3 + - A **Foreign Key** is an attribute, or a set of attributes, within one table that matches or **links to** a **candidate key** of some other table (possibly the same table). + - More formally: + - Given relations $r_1$ and $r_2$, a **foreign key** of $r_2$ is an attribute (or set of attributes) in $r_2$ where that attribute is a **candidate key** in $r_1$. Relations $r_1$ and $r_2$ may be the same relations. + - #### Foreign Key Terminology + - The **parent**, **master**, or **referenced** table is the relation containing the candidate key(s). + - The **child** or **referencing** table / relation is the relation containing the foreign key. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-09-30T10_01_42.392Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-09-30T10_01_42.392Z.Desktop.md new file mode 100644 index 00000000..07476de8 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-09-30T10_01_42.392Z.Desktop.md @@ -0,0 +1,204 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Database System Introduction]] +- **Next Topic:** [[Introduction to SQL & DDL]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1663153689773_0.pdf) +- +- Why learn about relational DBMS? + - 90% of industry / enterprise / business applications are still relational DBMS or relational DBMS with extensions (e.g., OO Relational). + - The majority of industry applications require: + - **Correctness** + - **Completeness** + - **Efficiency** (Complex optimisation techniques & complex indexing structures). + - Relational DBMS provide this. +- +- What is the **Relational Data Model**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:49:51.544Z + card-last-score:: 1 + - The **Relational Data Model** consists of collections of **relations** (often called *tables*) where each relation contains **tuples** (*rows*) and **attributes** (*columns*). + - The relational data model is closely related to the file system model. + - Relations are named. +- What is a **relation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-18T20:03:40.980Z + card-last-reviewed:: 2022-09-14T20:03:40.980Z + card-last-score:: 5 + - A table. +- What are **attributes**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:48:52.495Z + card-last-score:: 1 + - **Attributes** are columns. + - Columns / attributes are ^^almost always fixed^^ and do not change. +- What are **tuples**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:28:29.960Z + card-last-reviewed:: 2022-09-19T18:28:29.960Z + card-last-score:: 5 + - **Tuples** are rows. + - Rows contain the data. + - There is a variable number of rows. +- What is the **cardinality** of a relation? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:21:58.070Z + card-last-reviewed:: 2022-09-18T15:21:58.070Z + card-last-score:: 5 + - The ^^number of tuples in a relation^^ is referred to as the **cardinality** of that relation. +- +- ## Attributes / Columns + - Each attribute belongs to **one** *domain* and has a single: + - Name + - Data Type + - Format + - ### Naming Columns #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:21:25.028Z + card-last-reviewed:: 2022-09-19T18:21:25.029Z + card-last-score:: 5 + - Case is **not** significant in SQL. + - No spaces allowed. + - No reserved keywords (e.g., date) allowed. + - Choose meaningful variable names. + - If given the names of relations and attributes, use ^^exactly^^ what you are given. + - ### Data Types + - You must ^^specify the **data type**^^ of all attributes (columns) defined. + - Common data types used include: + - **varchar(N)**, where **N** is an integer - used for strings. + - date + - int + - double + - You often must specify the size - especially for integers and strings + - ![image.png](../assets/image_1663057796785_0.png) + - ### NULL + - What are **null-valued attributes**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:27:27.406Z + card-last-reviewed:: 2022-09-19T18:27:27.407Z + card-last-score:: 5 + - **Null-valued attributes** are what occurs when the values of some attribute within a particular tuple may be unknown or may not apply to that particular tuple. A **null value** is used for these cases. + - **NULL** is a special marker used in SQL to denote the ^^absence of a value.^^ + - In some cases, we wish to allow the possibility of a `NULL` value although they will often require extra handling (e.g., checking `if == NULL`). + - In other cases, we want to prevent `NULL` from being entered as a value and specify `NOT NULL` as a **constraint** on data entry. + - ### Atomic Attributes + - What is an **atomic attribute**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:22:04.435Z + card-last-reviewed:: 2022-09-18T15:22:04.435Z + card-last-score:: 5 + - An **atomic attribute** is an attribute which contains a ^^single value of the appropriate type^^, generally meaning, "no repeating values of the same type". + - The relational model should **only** have atomic values. + - ### Composite Attributes + - What is a **composite attribute**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:05:38.659Z + card-last-reviewed:: 2022-09-19T18:05:38.659Z + card-last-score:: 5 + - A **composite attribute** is an attribute that is composed of several atomic attributes. + - E.g., `Name = FirstName, Middle Initial, Surname`. + - We often want to decompose a composite attribute into atomic attributes unless there is a very good reason not to. + - ### Multi-Valued Attributes + - What is a **multi-valued attribute**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-09-18T20:03:53.193Z + card-last-reviewed:: 2022-09-14T20:03:53.193Z + card-last-score:: 3 + - A **multi-valued attribute** is an attribute which has lower and upper bounds on the number of values for an individual entry. + - The ^^opposite of an atomic attribute.^^ + - The relational model should **not** store multi-valued attributes. + - Database design / redesign should be used to deal with this issue by creating more attributes (columns) or more tables. + - ### Derived Attributes + - What are **derived attributes**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:23:44.975Z + card-last-reviewed:: 2022-09-19T18:23:44.975Z + card-last-score:: 5 + - A **derived attribute** is an attribute whose value can be determined from another attribute. + - E.g., you can derive age from birthdate. + - It is a good idea to not directly store attribute which can be derived from other attributes. + - +- ## Collection of Relations + - A Relational Data Model consists of a collection of relations (tables). + - Tables are **cross-linked**. +- + - A relational database usually contains many relations (tables) rather than storing all data in one single relation. + - What is a **Relational Schema**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-09-18T23:00:00.000Z + card-last-reviewed:: 2022-09-18T14:49:38.036Z + card-last-score:: 1 + - A **relational schema**, $R$, is the ^^definition of a **table** in the database.^^ It can be denoted by listing the table name and the attributes: + - $$R=\{A_1,A_2,...,A_n\}$$ + - where $A_i$ is an attribute. + - E.g., with n=3, `works_on(essn, pno, hours)`. +- ## Linking Tables + - Two ^^extremely important concepts^^ within the relational model which allows tables to be linked & cross-referenced are: + - **Primary Key** attributes. + - **Foreign Key** attributes. + - + - ### Primary Keys + - Fundamental concept of **Primary Keys**: #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-23T18:31:53.297Z + card-last-reviewed:: 2022-09-19T18:31:53.298Z + card-last-score:: 5 + - ^^All tuples (rows) in a relation must be **distinct**.^^ + - To ensure this, we must have one or more attributes / columns whose data values will ^^always be unique for each tuple^^ - these attributes are called **key attributes** and are used to identify a tuple in the relation. + - There may be a few possibilities for the **primary key** - these are called **Candidate Keys**. + - One candidate key is ultimately chosen as the primary key during the Design Stage. + - What is a **Primary Key**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-09-23T18:33:57.863Z + card-last-reviewed:: 2022-09-19T18:33:57.864Z + card-last-score:: 3 + - A **primary key** is defined as one or more attributes per table where: + - there can only be one such primary key per table + - the primary key can never contain the `NULL` value + - all values entered for the primary key must be unique (no duplicates across the rows) + - Often, primary keys are used as indices. + - We use the convention (in writing) that attribute which form primary keys are $\text{\underline{underlined}}$. + - + - ### Foreign Keys + - What is a **Foreign Key**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-30T12:18:31.019Z + card-last-reviewed:: 2022-09-26T12:18:31.019Z + card-last-score:: 3 + - A **Foreign Key** is an attribute, or a set of attributes, within one table that matches or **links to** a **candidate key** of some other table (possibly the same table). + - More formally: + - Given relations $r_1$ and $r_2$, a **foreign key** of $r_2$ is an attribute (or set of attributes) in $r_2$ where that attribute is a **candidate key** in $r_1$. Relations $r_1$ and $r_2$ may be the same relations. + - #### Foreign Key Terminology + - The **parent**, **master**, or **referenced** table is the relation containing the candidate key(s). + - The **child** or **referencing** table / relation is the relation containing the foreign key. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-10-20T09_05_58.012Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-10-20T09_05_58.012Z.Desktop.md new file mode 100644 index 00000000..7e0863f8 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-10-20T09_05_58.012Z.Desktop.md @@ -0,0 +1,204 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Database System Introduction]] +- **Next Topic:** [[Introduction to SQL & DDL]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1663153689773_0.pdf) +- +- Why learn about relational DBMS? + - 90% of industry / enterprise / business applications are still relational DBMS or relational DBMS with extensions (e.g., OO Relational). + - The majority of industry applications require: + - **Correctness** + - **Completeness** + - **Efficiency** (Complex optimisation techniques & complex indexing structures). + - Relational DBMS provide this. +- +- What is the **Relational Data Model**? #card + card-last-interval:: 10.2 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-16T13:42:39.339Z + card-last-reviewed:: 2022-10-06T09:42:39.340Z + card-last-score:: 5 + - The **Relational Data Model** consists of collections of **relations** (often called *tables*) where each relation contains **tuples** (*rows*) and **attributes** (*columns*). + - The relational data model is closely related to the file system model. + - Relations are named. +- What is a **relation**? #card + card-last-interval:: 11.96 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-12T07:45:56.825Z + card-last-reviewed:: 2022-09-30T08:45:56.825Z + card-last-score:: 5 + - A table. +- What are **attributes**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-07T18:22:42.375Z + card-last-reviewed:: 2022-10-07T10:22:42.376Z + card-last-score:: 5 + - **Attributes** are columns. + - Columns / attributes are ^^almost always fixed^^ and do not change. +- What are **tuples**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:30:41.906Z + card-last-reviewed:: 2022-10-03T14:30:41.907Z + card-last-score:: 5 + - **Tuples** are rows. + - Rows contain the data. + - There is a variable number of rows. +- What is the **cardinality** of a relation? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:39:55.046Z + card-last-reviewed:: 2022-10-03T11:39:55.046Z + card-last-score:: 5 + - The ^^number of tuples in a relation^^ is referred to as the **cardinality** of that relation. +- +- ## Attributes / Columns + - Each attribute belongs to **one** *domain* and has a single: + - Name + - Data Type + - Format + - ### Naming Columns #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:12:54.411Z + card-last-reviewed:: 2022-09-30T12:12:54.411Z + card-last-score:: 5 + - Case is **not** significant in SQL. + - No spaces allowed. + - No reserved keywords (e.g., date) allowed. + - Choose meaningful variable names. + - If given the names of relations and attributes, use ^^exactly^^ what you are given. + - ### Data Types + - You must ^^specify the **data type**^^ of all attributes (columns) defined. + - Common data types used include: + - **varchar(N)**, where **N** is an integer - used for strings. + - date + - int + - double + - You often must specify the size - especially for integers and strings + - ![image.png](../assets/image_1663057796785_0.png) + - ### NULL + - What are **null-valued attributes**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T19:29:38.227Z + card-last-reviewed:: 2022-10-03T14:29:38.227Z + card-last-score:: 5 + - **Null-valued attributes** are what occurs when the values of some attribute within a particular tuple may be unknown or may not apply to that particular tuple. A **null value** is used for these cases. + - **NULL** is a special marker used in SQL to denote the ^^absence of a value.^^ + - In some cases, we wish to allow the possibility of a `NULL` value although they will often require extra handling (e.g., checking `if == NULL`). + - In other cases, we want to prevent `NULL` from being entered as a value and specify `NOT NULL` as a **constraint** on data entry. + - ### Atomic Attributes + - What is an **atomic attribute**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:39:57.801Z + card-last-reviewed:: 2022-10-03T11:39:57.802Z + card-last-score:: 5 + - An **atomic attribute** is an attribute which contains a ^^single value of the appropriate type^^, generally meaning, "no repeating values of the same type". + - The relational model should **only** have atomic values. + - ### Composite Attributes + - What is a **composite attribute**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:43:20.000Z + card-last-reviewed:: 2022-10-03T11:43:20.001Z + card-last-score:: 5 + - A **composite attribute** is an attribute that is composed of several atomic attributes. + - E.g., `Name = FirstName, Middle Initial, Surname`. + - We often want to decompose a composite attribute into atomic attributes unless there is a very good reason not to. + - ### Multi-Valued Attributes + - What is a **multi-valued attribute**? #card + card-last-interval:: 10.92 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T06:46:07.658Z + card-last-reviewed:: 2022-09-30T08:46:07.658Z + card-last-score:: 5 + - A **multi-valued attribute** is an attribute which has lower and upper bounds on the number of values for an individual entry. + - The ^^opposite of an atomic attribute.^^ + - The relational model should **not** store multi-valued attributes. + - Database design / redesign should be used to deal with this issue by creating more attributes (columns) or more tables. + - ### Derived Attributes + - What are **derived attributes**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:27:17.519Z + card-last-reviewed:: 2022-10-03T14:27:17.520Z + card-last-score:: 5 + - A **derived attribute** is an attribute whose value can be determined from another attribute. + - E.g., you can derive age from birthdate. + - It is a good idea to not directly store attribute which can be derived from other attributes. + - +- ## Collection of Relations + - A Relational Data Model consists of a collection of relations (tables). + - Tables are **cross-linked**. +- + - A relational database usually contains many relations (tables) rather than storing all data in one single relation. + - What is a **Relational Schema**? #card + card-last-interval:: 8.35 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-17T16:51:22.982Z + card-last-reviewed:: 2022-10-09T08:51:22.982Z + card-last-score:: 5 + - A **relational schema**, $R$, is the ^^definition of a **table** in the database.^^ It can be denoted by listing the table name and the attributes: + - $$R=\{A_1,A_2,...,A_n\}$$ + - where $A_i$ is an attribute. + - E.g., with $n=3$, `works_on(essn, pno, hours)`. +- ## Linking Tables + - Two ^^extremely important concepts^^ within the relational model which allows tables to be linked & cross-referenced are: + - **Primary Key** attributes. + - **Foreign Key** attributes. + - + - ### Primary Keys + - Fundamental concept of **Primary Keys**: #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:12:29.217Z + card-last-reviewed:: 2022-09-30T12:12:29.218Z + card-last-score:: 5 + - ^^All tuples (rows) in a relation must be **distinct**.^^ + - To ensure this, we must have one or more attributes / columns whose data values will ^^always be unique for each tuple^^ - these attributes are called **key attributes** and are used to identify a tuple in the relation. + - There may be a few possibilities for the **primary key** - these are called **Candidate Keys**. + - One candidate key is ultimately chosen as the primary key during the Design Stage. + - What is a **Primary Key**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-12T20:30:50.694Z + card-last-reviewed:: 2022-10-03T14:30:50.694Z + card-last-score:: 5 + - A **primary key** is defined as one or more attributes per table where: + - there can only be one such primary key per table + - the primary key can never contain the `NULL` value + - all values entered for the primary key must be unique (no duplicates across the rows) + - Often, primary keys are used as indices. + - We use the convention (in writing) that attribute which form primary keys are $\text{\underline{underlined}}$. + - + - ### Foreign Keys + - What is a **Foreign Key**? #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-14T17:16:57.806Z + card-last-reviewed:: 2022-10-04T12:16:57.806Z + card-last-score:: 5 + - A **Foreign Key** is an attribute, or a set of attributes, within one table that matches or **links to** a **candidate key** of some other table (possibly the same table). + - More formally: + - Given relations $r_1$ and $r_2$, a **foreign key** of $r_2$ is an attribute (or set of attributes) in $r_2$ where that attribute is a **candidate key** in $r_1$. Relations $r_1$ and $r_2$ may be the same relations. + - #### Foreign Key Terminology + - The **parent**, **master**, or **referenced** table is the relation containing the candidate key(s). + - The **child** or **referencing** table / relation is the relation containing the foreign key. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-11-23T09_22_44.511Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-11-23T09_22_44.511Z.Desktop.md new file mode 100644 index 00000000..a31cb515 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-11-23T09_22_44.511Z.Desktop.md @@ -0,0 +1,204 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Database System Introduction]] +- **Next Topic:** [[Introduction to SQL & DDL]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1663153689773_0.pdf) +- +- Why learn about relational DBMS? + - 90% of industry / enterprise / business applications are still relational DBMS or relational DBMS with extensions (e.g., OO Relational). + - The majority of industry applications require: + - **Correctness** + - **Completeness** + - **Efficiency** (Complex optimisation techniques & complex indexing structures). + - Relational DBMS provide this. +- +- What is the **Relational Data Model**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-06T08:01:57.584Z + card-last-reviewed:: 2022-11-14T20:01:57.584Z + card-last-score:: 3 + - The **Relational Data Model** consists of collections of **relations** (often called *tables*) where each relation contains **tuples** (*rows*) and **attributes** (*columns*). + - The relational data model is closely related to the file system model. + - Relations are named. +- What is a **relation**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-20T16:24:50.257Z + card-last-reviewed:: 2022-10-20T08:24:50.257Z + card-last-score:: 5 + - A table. +- What are **attributes**? #card + card-last-interval:: 100.92 + card-repeats:: 5 + card-ease-factor:: 2.9 + card-next-schedule:: 2023-02-23T18:22:23.155Z + card-last-reviewed:: 2022-11-14T20:22:23.156Z + card-last-score:: 5 + - **Attributes** are columns. + - Columns / attributes are ^^almost always fixed^^ and do not change. +- What are **tuples**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:48:34.835Z + card-last-reviewed:: 2022-11-14T16:48:34.835Z + card-last-score:: 5 + - **Tuples** are rows. + - Rows contain the data. + - There is a variable number of rows. +- What is the **cardinality** of a relation? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:51:27.460Z + card-last-score:: 1 + - The ^^number of tuples in a relation^^ is referred to as the **cardinality** of that relation. +- +- ## Attributes / Columns + - Each attribute belongs to **one** *domain* and has a single: + - Name + - Data Type + - Format + - ### Naming Columns #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:34:15.662Z + card-last-reviewed:: 2022-10-20T08:34:15.663Z + card-last-score:: 5 + - Case is **not** significant in SQL. + - No spaces allowed. + - No reserved keywords (e.g., date) allowed. + - Choose meaningful variable names. + - If given the names of relations and attributes, use ^^exactly^^ what you are given. + - ### Data Types + - You must ^^specify the **data type**^^ of all attributes (columns) defined. + - Common data types used include: + - **varchar(N)**, where **N** is an integer - used for strings. + - date + - int + - double + - You often must specify the size - especially for integers and strings + - ![image.png](../assets/image_1663057796785_0.png) + - ### NULL + - What are **null-valued attributes**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:48:31.350Z + card-last-reviewed:: 2022-11-14T16:48:31.350Z + card-last-score:: 5 + - **Null-valued attributes** are what occurs when the values of some attribute within a particular tuple may be unknown or may not apply to that particular tuple. A **null value** is used for these cases. + - **NULL** is a special marker used in SQL to denote the ^^absence of a value.^^ + - In some cases, we wish to allow the possibility of a `NULL` value although they will often require extra handling (e.g., checking `if == NULL`). + - In other cases, we want to prevent `NULL` from being entered as a value and specify `NOT NULL` as a **constraint** on data entry. + - ### Atomic Attributes + - What is an **atomic attribute**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:31.019Z + card-last-reviewed:: 2022-11-14T16:51:31.019Z + card-last-score:: 5 + - An **atomic attribute** is an attribute which contains a ^^single value of the appropriate type^^, generally meaning, "no repeating values of the same type". + - The relational model should **only** have atomic values. + - ### Composite Attributes + - What is a **composite attribute**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:52:00.872Z + card-last-reviewed:: 2022-11-14T16:52:00.872Z + card-last-score:: 5 + - A **composite attribute** is an attribute that is composed of several atomic attributes. + - E.g., `Name = FirstName, Middle Initial, Surname`. + - We often want to decompose a composite attribute into atomic attributes unless there is a very good reason not to. + - ### Multi-Valued Attributes + - What is a **multi-valued attribute**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:33:27.470Z + card-last-score:: 1 + - A **multi-valued attribute** is an attribute which has lower and upper bounds on the number of values for an individual entry. + - The ^^opposite of an atomic attribute.^^ + - The relational model should **not** store multi-valued attributes. + - Database design / redesign should be used to deal with this issue by creating more attributes (columns) or more tables. + - ### Derived Attributes + - What are **derived attributes**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-12T23:52:22.646Z + card-last-reviewed:: 2022-11-14T16:52:22.646Z + card-last-score:: 3 + - A **derived attribute** is an attribute whose value can be determined from another attribute. + - E.g., you can derive age from birthdate. + - It is a good idea to not directly store attribute which can be derived from other attributes. + - +- ## Collection of Relations + - A Relational Data Model consists of a collection of relations (tables). + - Tables are **cross-linked**. +- + - A relational database usually contains many relations (tables) rather than storing all data in one single relation. + - What is a **Relational Schema**? #card + card-last-interval:: 19.3 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-04T03:03:56.818Z + card-last-reviewed:: 2022-11-14T20:03:56.818Z + card-last-score:: 3 + - A **relational schema**, $R$, is the ^^definition of a **table** in the database.^^ It can be denoted by listing the table name and the attributes: + - $$R=\{A_1,A_2,...,A_n\}$$ + - where $A_i$ is an attribute. + - E.g., with $n=3$, `works_on(essn, pno, hours)`. +- ## Linking Tables + - Two ^^extremely important concepts^^ within the relational model which allows tables to be linked & cross-referenced are: + - **Primary Key** attributes. + - **Foreign Key** attributes. + - + - ### Primary Keys + - Fundamental concept of **Primary Keys**: #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:34:03.291Z + card-last-reviewed:: 2022-10-20T08:34:03.291Z + card-last-score:: 5 + - ^^All tuples (rows) in a relation must be **distinct**.^^ + - To ensure this, we must have one or more attributes / columns whose data values will ^^always be unique for each tuple^^ - these attributes are called **key attributes** and are used to identify a tuple in the relation. + - There may be a few possibilities for the **primary key** - these are called **Candidate Keys**. + - One candidate key is ultimately chosen as the primary key during the Design Stage. + - What is a **Primary Key**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T02:44:46.959Z + card-last-reviewed:: 2022-11-14T16:44:46.960Z + card-last-score:: 5 + - A **primary key** is defined as one or more attributes per table where: + - there can only be one such primary key per table + - the primary key can never contain the `NULL` value + - all values entered for the primary key must be unique (no duplicates across the rows) + - Often, primary keys are used as indices. + - We use the convention (in writing) that attribute which form primary keys are $\text{\underline{underlined}}$. + - + - ### Foreign Keys + - What is a **Foreign Key**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T02:52:18.585Z + card-last-reviewed:: 2022-11-14T16:52:18.585Z + card-last-score:: 3 + - A **Foreign Key** is an attribute, or a set of attributes, within one table that matches or **links to** a **candidate key** of some other table (possibly the same table). + - More formally: + - Given relations $r_1$ and $r_2$, a **foreign key** of $r_2$ is an attribute (or set of attributes) in $r_2$ where that attribute is a **candidate key** in $r_1$. Relations $r_1$ and $r_2$ may be the same relations. + - #### Foreign Key Terminology + - The **parent**, **master**, or **referenced** table is the relation containing the candidate key(s). + - The **child** or **referencing** table / relation is the relation containing the foreign key. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-11-23T12_15_36.880Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-11-23T12_15_36.880Z.Desktop.md new file mode 100644 index 00000000..a31cb515 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/The Relational Model/2022-11-23T12_15_36.880Z.Desktop.md @@ -0,0 +1,204 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Database System Introduction]] +- **Next Topic:** [[Introduction to SQL & DDL]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1663153689773_0.pdf) +- +- Why learn about relational DBMS? + - 90% of industry / enterprise / business applications are still relational DBMS or relational DBMS with extensions (e.g., OO Relational). + - The majority of industry applications require: + - **Correctness** + - **Completeness** + - **Efficiency** (Complex optimisation techniques & complex indexing structures). + - Relational DBMS provide this. +- +- What is the **Relational Data Model**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-06T08:01:57.584Z + card-last-reviewed:: 2022-11-14T20:01:57.584Z + card-last-score:: 3 + - The **Relational Data Model** consists of collections of **relations** (often called *tables*) where each relation contains **tuples** (*rows*) and **attributes** (*columns*). + - The relational data model is closely related to the file system model. + - Relations are named. +- What is a **relation**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-20T16:24:50.257Z + card-last-reviewed:: 2022-10-20T08:24:50.257Z + card-last-score:: 5 + - A table. +- What are **attributes**? #card + card-last-interval:: 100.92 + card-repeats:: 5 + card-ease-factor:: 2.9 + card-next-schedule:: 2023-02-23T18:22:23.155Z + card-last-reviewed:: 2022-11-14T20:22:23.156Z + card-last-score:: 5 + - **Attributes** are columns. + - Columns / attributes are ^^almost always fixed^^ and do not change. +- What are **tuples**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:48:34.835Z + card-last-reviewed:: 2022-11-14T16:48:34.835Z + card-last-score:: 5 + - **Tuples** are rows. + - Rows contain the data. + - There is a variable number of rows. +- What is the **cardinality** of a relation? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:51:27.460Z + card-last-score:: 1 + - The ^^number of tuples in a relation^^ is referred to as the **cardinality** of that relation. +- +- ## Attributes / Columns + - Each attribute belongs to **one** *domain* and has a single: + - Name + - Data Type + - Format + - ### Naming Columns #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:34:15.662Z + card-last-reviewed:: 2022-10-20T08:34:15.663Z + card-last-score:: 5 + - Case is **not** significant in SQL. + - No spaces allowed. + - No reserved keywords (e.g., date) allowed. + - Choose meaningful variable names. + - If given the names of relations and attributes, use ^^exactly^^ what you are given. + - ### Data Types + - You must ^^specify the **data type**^^ of all attributes (columns) defined. + - Common data types used include: + - **varchar(N)**, where **N** is an integer - used for strings. + - date + - int + - double + - You often must specify the size - especially for integers and strings + - ![image.png](../assets/image_1663057796785_0.png) + - ### NULL + - What are **null-valued attributes**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:48:31.350Z + card-last-reviewed:: 2022-11-14T16:48:31.350Z + card-last-score:: 5 + - **Null-valued attributes** are what occurs when the values of some attribute within a particular tuple may be unknown or may not apply to that particular tuple. A **null value** is used for these cases. + - **NULL** is a special marker used in SQL to denote the ^^absence of a value.^^ + - In some cases, we wish to allow the possibility of a `NULL` value although they will often require extra handling (e.g., checking `if == NULL`). + - In other cases, we want to prevent `NULL` from being entered as a value and specify `NOT NULL` as a **constraint** on data entry. + - ### Atomic Attributes + - What is an **atomic attribute**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:31.019Z + card-last-reviewed:: 2022-11-14T16:51:31.019Z + card-last-score:: 5 + - An **atomic attribute** is an attribute which contains a ^^single value of the appropriate type^^, generally meaning, "no repeating values of the same type". + - The relational model should **only** have atomic values. + - ### Composite Attributes + - What is a **composite attribute**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:52:00.872Z + card-last-reviewed:: 2022-11-14T16:52:00.872Z + card-last-score:: 5 + - A **composite attribute** is an attribute that is composed of several atomic attributes. + - E.g., `Name = FirstName, Middle Initial, Surname`. + - We often want to decompose a composite attribute into atomic attributes unless there is a very good reason not to. + - ### Multi-Valued Attributes + - What is a **multi-valued attribute**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:33:27.470Z + card-last-score:: 1 + - A **multi-valued attribute** is an attribute which has lower and upper bounds on the number of values for an individual entry. + - The ^^opposite of an atomic attribute.^^ + - The relational model should **not** store multi-valued attributes. + - Database design / redesign should be used to deal with this issue by creating more attributes (columns) or more tables. + - ### Derived Attributes + - What are **derived attributes**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-12T23:52:22.646Z + card-last-reviewed:: 2022-11-14T16:52:22.646Z + card-last-score:: 3 + - A **derived attribute** is an attribute whose value can be determined from another attribute. + - E.g., you can derive age from birthdate. + - It is a good idea to not directly store attribute which can be derived from other attributes. + - +- ## Collection of Relations + - A Relational Data Model consists of a collection of relations (tables). + - Tables are **cross-linked**. +- + - A relational database usually contains many relations (tables) rather than storing all data in one single relation. + - What is a **Relational Schema**? #card + card-last-interval:: 19.3 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-04T03:03:56.818Z + card-last-reviewed:: 2022-11-14T20:03:56.818Z + card-last-score:: 3 + - A **relational schema**, $R$, is the ^^definition of a **table** in the database.^^ It can be denoted by listing the table name and the attributes: + - $$R=\{A_1,A_2,...,A_n\}$$ + - where $A_i$ is an attribute. + - E.g., with $n=3$, `works_on(essn, pno, hours)`. +- ## Linking Tables + - Two ^^extremely important concepts^^ within the relational model which allows tables to be linked & cross-referenced are: + - **Primary Key** attributes. + - **Foreign Key** attributes. + - + - ### Primary Keys + - Fundamental concept of **Primary Keys**: #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:34:03.291Z + card-last-reviewed:: 2022-10-20T08:34:03.291Z + card-last-score:: 5 + - ^^All tuples (rows) in a relation must be **distinct**.^^ + - To ensure this, we must have one or more attributes / columns whose data values will ^^always be unique for each tuple^^ - these attributes are called **key attributes** and are used to identify a tuple in the relation. + - There may be a few possibilities for the **primary key** - these are called **Candidate Keys**. + - One candidate key is ultimately chosen as the primary key during the Design Stage. + - What is a **Primary Key**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T02:44:46.959Z + card-last-reviewed:: 2022-11-14T16:44:46.960Z + card-last-score:: 5 + - A **primary key** is defined as one or more attributes per table where: + - there can only be one such primary key per table + - the primary key can never contain the `NULL` value + - all values entered for the primary key must be unique (no duplicates across the rows) + - Often, primary keys are used as indices. + - We use the convention (in writing) that attribute which form primary keys are $\text{\underline{underlined}}$. + - + - ### Foreign Keys + - What is a **Foreign Key**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T02:52:18.585Z + card-last-reviewed:: 2022-11-14T16:52:18.585Z + card-last-score:: 3 + - A **Foreign Key** is an attribute, or a set of attributes, within one table that matches or **links to** a **candidate key** of some other table (possibly the same table). + - More formally: + - Given relations $r_1$ and $r_2$, a **foreign key** of $r_2$ is an attribute (or set of attributes) in $r_2$ where that attribute is a **candidate key** in $r_1$. Relations $r_1$ and $r_2$ may be the same relations. + - #### Foreign Key Terminology + - The **parent**, **master**, or **referenced** table is the relation containing the candidate key(s). + - The **child** or **referencing** table / relation is the relation containing the foreign key. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/University Todo/2022-09-11T10_07_41.531Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/University Todo/2022-09-11T10_07_41.531Z.Desktop.md new file mode 100644 index 00000000..b7e46ce0 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/University Todo/2022-09-11T10_07_41.531Z.Desktop.md @@ -0,0 +1,17 @@ +- #[[Second Year University]] +- ## CT2106 - Object-Oriented Programming + - #[[CT2106 - Object-Oriented Programming]] + - DONE Short Exercise in Week One folder + - +- ## CT213 - Computer Systems & Organisation + - #[[CT213 - Computer Systems & Organisation]] + - DONE Quiz 1 (not graded) + - TODO Quiz 2 (not graded) +- +- ## CT216 - Software Engineering I + - #[[CT216 - Software Engineering I]] +- +- ## CT230 - Database Systems I + - #[[CT230 - Database Systems I]] +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-09-30T08_54_51.946Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-09-30T08_54_51.946Z.Desktop.md new file mode 100644 index 00000000..54cde6ba --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-09-30T08_54_51.946Z.Desktop.md @@ -0,0 +1,248 @@ +title:: Using R as a Calculator + +- #[[ST2001 Labs]] +- **Previous Topic:** null +- **Next Topic:** [[Describing Data in R]] +- No relevant slides +- +- ## Basic Algebra in R + - ### Addition #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:13:16.517Z + card-last-reviewed:: 2022-09-18T15:13:16.518Z + card-last-score:: 5 + - ```R + # to add numbers in R, simply use "+" + 2+2 + ``` + - Output: + - ```R + [1] 4 + ``` + - ### Subtraction #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:16:58.961Z + card-last-reviewed:: 2022-09-18T15:16:58.961Z + card-last-score:: 5 + - ```R + # to subtract numbers in R, simply use "-" + 4-2 + ``` + - Output: + - ```R + [1] 2 + ``` + - ### Multiplication #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:19:10.421Z + card-last-reviewed:: 2022-09-18T15:19:10.421Z + card-last-score:: 5 + - ```R + # to multiply numbers in R, simply use "*" + 5*2 + ``` + - Output: + - ```R + [1] 10 + ``` + - ### Division #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:26:41.512Z + card-last-reviewed:: 2022-09-19T18:26:41.513Z + card-last-score:: 5 + - ```R + # to divide numbers in R, simply use "/" + 10/5 + ``` + - Output: + - ```R + [1] 2 + ``` + - ### Exponents #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:42:14.404Z + card-last-reviewed:: 2022-09-19T17:42:14.404Z + card-last-score:: 5 + - ```R + # use "^" to raise a number to a power + 3^2 + 3^{-1} # use curly braces + ``` + - Output: + - ```R + [1] 9 + [1] 0.3333333 + ``` + - ### Square Roots #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:21:31.602Z + card-last-reviewed:: 2022-09-18T15:21:31.603Z + card-last-score:: 5 + - ```R + # use the function "sqrt()" to get the square root of a number in R + sqrt(16) + ``` + - Output: + - ```R + [1] 4 + ``` + - + - ### Modulus #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:04:22.123Z + card-last-reviewed:: 2022-09-18T15:04:22.123Z + card-last-score:: 5 + - ```R + # use "%%" to get the modulus + 19%%6 + ``` + - Output: + - ```R + [1] 1 + ``` +- ## Rounding in R + - ### Absolute Value #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:13:22.206Z + card-last-reviewed:: 2022-09-18T15:13:22.208Z + card-last-score:: 5 + - ```R + # use "abs()" to get absolute value in R + abs(-1) + ``` + - Output: + - ```R + [1] 1 + ``` + - ### Rounding #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:16:30.465Z + card-last-reviewed:: 2022-09-18T15:16:30.465Z + card-last-score:: 5 + - The function `round()` in R goes not necessarily do what you would expect when rounding numbers ending in **.5** - ^^it rounds to the nearest **even** number.^^ + - If you always round up numbers ending in .5, then you are causing an upwards bias. + - The rounding to even numbers will tend to average out at a zero bias, as 50% go up and 50% go down. + - ```R + # use "round()" to round + round(1.5) + round(0.5) + round(0.7) + ``` + - Output: + - ```R + [1] 2 + [1] 0 + [1] 1 + ``` +- ## $\pi$ in R #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:09:00.108Z + card-last-reviewed:: 2022-09-18T15:09:00.108Z + card-last-score:: 5 + - ```R + # to get pi in R, simply use the in-built constant "pi" + pi + ``` + - Output: + - ```R + [1] 3.141593 + ``` +- ## Trigonometric Functions in R + - ### Sine in R #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:15:38.917Z + card-last-reviewed:: 2022-09-18T15:15:38.918Z + card-last-score:: 5 + - ```R + # to get the sine of a number in R, use the function "sin()" + sin(0.5 * pi) + sin(pi) + ``` + - Output: + - ```R + [1] 1 + [1] 1.224647e-16 + ``` + - ^^**Note:**^^ $1.224606e-16 \approx 0$. Due to the way computers store numbers, decimals are often slightly off, so $sine(\pi) \ne 0$ even though it should, of course, be equal to zero. Be careful of this! + - ### Cosine in R #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:18:39.667Z + card-last-reviewed:: 2022-09-18T15:18:39.668Z + card-last-score:: 5 + - ```R + # use "cos()" to get cosine + cos(0) + ``` + - Output: + - ```R + [1] 1 + ``` + - ### Tangent in R #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:41:27.375Z + card-last-reviewed:: 2022-09-19T17:41:27.376Z + card-last-score:: 5 + - ```R + # use "tan()" to get tangent + tan(0) + ``` + - Output: + - ```R + [1] 0 + ``` +- ## Logarithms in R + - ### Natural Log #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:23:00.441Z + card-last-reviewed:: 2022-09-19T18:23:00.441Z + card-last-score:: 5 + - ```R + log(1) + ``` + - Output: + - ```R` + [1] 0 + ``` + - ### Logs to a Given Base #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:04:49.274Z + card-last-reviewed:: 2022-09-18T15:04:49.274Z + card-last-score:: 3 + - ```R + # log() + log10(100) + ``` + - Output: + - ```R + [1] 2 + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-09-30T10_01_42.393Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-09-30T10_01_42.393Z.Desktop.md new file mode 100644 index 00000000..54cde6ba --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-09-30T10_01_42.393Z.Desktop.md @@ -0,0 +1,248 @@ +title:: Using R as a Calculator + +- #[[ST2001 Labs]] +- **Previous Topic:** null +- **Next Topic:** [[Describing Data in R]] +- No relevant slides +- +- ## Basic Algebra in R + - ### Addition #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:13:16.517Z + card-last-reviewed:: 2022-09-18T15:13:16.518Z + card-last-score:: 5 + - ```R + # to add numbers in R, simply use "+" + 2+2 + ``` + - Output: + - ```R + [1] 4 + ``` + - ### Subtraction #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:16:58.961Z + card-last-reviewed:: 2022-09-18T15:16:58.961Z + card-last-score:: 5 + - ```R + # to subtract numbers in R, simply use "-" + 4-2 + ``` + - Output: + - ```R + [1] 2 + ``` + - ### Multiplication #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:19:10.421Z + card-last-reviewed:: 2022-09-18T15:19:10.421Z + card-last-score:: 5 + - ```R + # to multiply numbers in R, simply use "*" + 5*2 + ``` + - Output: + - ```R + [1] 10 + ``` + - ### Division #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:26:41.512Z + card-last-reviewed:: 2022-09-19T18:26:41.513Z + card-last-score:: 5 + - ```R + # to divide numbers in R, simply use "/" + 10/5 + ``` + - Output: + - ```R + [1] 2 + ``` + - ### Exponents #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:42:14.404Z + card-last-reviewed:: 2022-09-19T17:42:14.404Z + card-last-score:: 5 + - ```R + # use "^" to raise a number to a power + 3^2 + 3^{-1} # use curly braces + ``` + - Output: + - ```R + [1] 9 + [1] 0.3333333 + ``` + - ### Square Roots #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:21:31.602Z + card-last-reviewed:: 2022-09-18T15:21:31.603Z + card-last-score:: 5 + - ```R + # use the function "sqrt()" to get the square root of a number in R + sqrt(16) + ``` + - Output: + - ```R + [1] 4 + ``` + - + - ### Modulus #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:04:22.123Z + card-last-reviewed:: 2022-09-18T15:04:22.123Z + card-last-score:: 5 + - ```R + # use "%%" to get the modulus + 19%%6 + ``` + - Output: + - ```R + [1] 1 + ``` +- ## Rounding in R + - ### Absolute Value #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:13:22.206Z + card-last-reviewed:: 2022-09-18T15:13:22.208Z + card-last-score:: 5 + - ```R + # use "abs()" to get absolute value in R + abs(-1) + ``` + - Output: + - ```R + [1] 1 + ``` + - ### Rounding #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:16:30.465Z + card-last-reviewed:: 2022-09-18T15:16:30.465Z + card-last-score:: 5 + - The function `round()` in R goes not necessarily do what you would expect when rounding numbers ending in **.5** - ^^it rounds to the nearest **even** number.^^ + - If you always round up numbers ending in .5, then you are causing an upwards bias. + - The rounding to even numbers will tend to average out at a zero bias, as 50% go up and 50% go down. + - ```R + # use "round()" to round + round(1.5) + round(0.5) + round(0.7) + ``` + - Output: + - ```R + [1] 2 + [1] 0 + [1] 1 + ``` +- ## $\pi$ in R #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:09:00.108Z + card-last-reviewed:: 2022-09-18T15:09:00.108Z + card-last-score:: 5 + - ```R + # to get pi in R, simply use the in-built constant "pi" + pi + ``` + - Output: + - ```R + [1] 3.141593 + ``` +- ## Trigonometric Functions in R + - ### Sine in R #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:15:38.917Z + card-last-reviewed:: 2022-09-18T15:15:38.918Z + card-last-score:: 5 + - ```R + # to get the sine of a number in R, use the function "sin()" + sin(0.5 * pi) + sin(pi) + ``` + - Output: + - ```R + [1] 1 + [1] 1.224647e-16 + ``` + - ^^**Note:**^^ $1.224606e-16 \approx 0$. Due to the way computers store numbers, decimals are often slightly off, so $sine(\pi) \ne 0$ even though it should, of course, be equal to zero. Be careful of this! + - ### Cosine in R #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-22T15:18:39.667Z + card-last-reviewed:: 2022-09-18T15:18:39.668Z + card-last-score:: 5 + - ```R + # use "cos()" to get cosine + cos(0) + ``` + - Output: + - ```R + [1] 1 + ``` + - ### Tangent in R #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:41:27.375Z + card-last-reviewed:: 2022-09-19T17:41:27.376Z + card-last-score:: 5 + - ```R + # use "tan()" to get tangent + tan(0) + ``` + - Output: + - ```R + [1] 0 + ``` +- ## Logarithms in R + - ### Natural Log #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T18:23:00.441Z + card-last-reviewed:: 2022-09-19T18:23:00.441Z + card-last-score:: 5 + - ```R + log(1) + ``` + - Output: + - ```R` + [1] 0 + ``` + - ### Logs to a Given Base #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-09-22T15:04:49.274Z + card-last-reviewed:: 2022-09-18T15:04:49.274Z + card-last-score:: 3 + - ```R + # log() + log10(100) + ``` + - Output: + - ```R + [1] 2 + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-10-20T09_05_58.013Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-10-20T09_05_58.013Z.Desktop.md new file mode 100644 index 00000000..3b2e01b4 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-10-20T09_05_58.013Z.Desktop.md @@ -0,0 +1,248 @@ +title:: Using R as a Calculator + +- #[[ST2001 Labs]] +- **Previous Topic:** null +- **Next Topic:** [[Describing Data in R]] +- No relevant slides +- +- ## Basic Algebra in R + - ### Addition #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:29:23.664Z + card-last-reviewed:: 2022-10-01T13:29:23.665Z + card-last-score:: 5 + - ```R + # to add numbers in R, simply use "+" + 2+2 + ``` + - Output: + - ```R + [1] 4 + ``` + - ### Subtraction #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:29:47.794Z + card-last-reviewed:: 2022-10-01T17:29:47.794Z + card-last-score:: 5 + - ```R + # to subtract numbers in R, simply use "-" + 4-2 + ``` + - Output: + - ```R + [1] 2 + ``` + - ### Multiplication #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:39.178Z + card-last-reviewed:: 2022-10-01T17:35:39.178Z + card-last-score:: 5 + - ```R + # to multiply numbers in R, simply use "*" + 5*2 + ``` + - Output: + - ```R + [1] 10 + ``` + - ### Division #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:28:49.302Z + card-last-reviewed:: 2022-10-03T14:28:49.302Z + card-last-score:: 5 + - ```R + # to divide numbers in R, simply use "/" + 10/5 + ``` + - Output: + - ```R + [1] 2 + ``` + - ### Exponents #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:12.050Z + card-last-reviewed:: 2022-10-03T11:42:12.050Z + card-last-score:: 5 + - ```R + # use "^" to raise a number to a power + 3^2 + 3^{-1} # use curly braces + ``` + - Output: + - ```R + [1] 9 + [1] 0.3333333 + ``` + - ### Square Roots #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:31:00.356Z + card-last-reviewed:: 2022-09-30T08:31:00.357Z + card-last-score:: 5 + - ```R + # use the function "sqrt()" to get the square root of a number in R + sqrt(16) + ``` + - Output: + - ```R + [1] 4 + ``` + - + - ### Modulus #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:16:16.109Z + card-last-reviewed:: 2022-09-30T12:16:16.109Z + card-last-score:: 5 + - ```R + # use "%%" to get the modulus + 19%%6 + ``` + - Output: + - ```R + [1] 1 + ``` +- ## Rounding in R + - ### Absolute Value #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:29:25.342Z + card-last-reviewed:: 2022-10-01T13:29:25.343Z + card-last-score:: 5 + - ```R + # use "abs()" to get absolute value in R + abs(-1) + ``` + - Output: + - ```R + [1] 1 + ``` + - ### Rounding #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:28:49.505Z + card-last-reviewed:: 2022-10-01T17:28:49.505Z + card-last-score:: 5 + - The function `round()` in R goes not necessarily do what you would expect when rounding numbers ending in **.5** - ^^it rounds to the nearest **even** number.^^ + - If you always round up numbers ending in .5, then you are causing an upwards bias. + - The rounding to even numbers will tend to average out at a zero bias, as 50% go up and 50% go down. + - ```R + # use "round()" to round + round(1.5) + round(0.5) + round(0.7) + ``` + - Output: + - ```R + [1] 2 + [1] 0 + [1] 1 + ``` +- ## $\pi$ in R #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:10:40.446Z + card-last-reviewed:: 2022-09-30T12:10:40.446Z + card-last-score:: 5 + - ```R + # to get pi in R, simply use the in-built constant "pi" + pi + ``` + - Output: + - ```R + [1] 3.141593 + ``` +- ## Trigonometric Functions in R + - ### Sine in R #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:29:09.246Z + card-last-reviewed:: 2022-09-30T08:29:09.246Z + card-last-score:: 5 + - ```R + # to get the sine of a number in R, use the function "sin()" + sin(0.5 * pi) + sin(pi) + ``` + - Output: + - ```R + [1] 1 + [1] 1.224647e-16 + ``` + - ^^**Note:**^^ $1.224606e-16 \approx 0$. Due to the way computers store numbers, decimals are often slightly off, so $sine(\pi) \ne 0$ even though it should, of course, be equal to zero. Be careful of this! + - ### Cosine in R #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:15.641Z + card-last-reviewed:: 2022-10-01T17:35:15.641Z + card-last-score:: 5 + - ```R + # use "cos()" to get cosine + cos(0) + ``` + - Output: + - ```R + [1] 1 + ``` + - ### Tangent in R #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:41:56.642Z + card-last-reviewed:: 2022-10-03T11:41:56.643Z + card-last-score:: 5 + - ```R + # use "tan()" to get tangent + tan(0) + ``` + - Output: + - ```R + [1] 0 + ``` +- ## Logarithms in R + - ### Natural Log #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:45:32.515Z + card-last-reviewed:: 2022-10-03T11:45:32.515Z + card-last-score:: 5 + - ```R + log(1) + ``` + - Output: + - ```R` + [1] 0 + ``` + - ### Logs to a Given Base #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-10T17:16:21.935Z + card-last-reviewed:: 2022-09-30T12:16:21.935Z + card-last-score:: 5 + - ```R + # log() + log10(100) + ``` + - Output: + - ```R + [1] 2 + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-11-09T13_03_58.141Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-11-09T13_03_58.141Z.Desktop.md new file mode 100644 index 00000000..c76104c0 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-11-09T13_03_58.141Z.Desktop.md @@ -0,0 +1,248 @@ +title:: Using R as a Calculator + +- #[[ST2001 Labs]] +- **Previous Topic:** null +- **Next Topic:** [[Describing Data in R]] +- No relevant slides +- +- ## Basic Algebra in R + - ### Addition #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:29:23.664Z + card-last-reviewed:: 2022-10-01T13:29:23.665Z + card-last-score:: 5 + - ```R + # to add numbers in R, simply use "+" + 2+2 + ``` + - Output: + - ```R + [1] 4 + ``` + - ### Subtraction #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:29:47.794Z + card-last-reviewed:: 2022-10-01T17:29:47.794Z + card-last-score:: 5 + - ```R + # to subtract numbers in R, simply use "-" + 4-2 + ``` + - Output: + - ```R + [1] 2 + ``` + - ### Multiplication #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:39.178Z + card-last-reviewed:: 2022-10-01T17:35:39.178Z + card-last-score:: 5 + - ```R + # to multiply numbers in R, simply use "*" + 5*2 + ``` + - Output: + - ```R + [1] 10 + ``` + - ### Division #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-22T23:24:36.469Z + card-last-reviewed:: 2022-10-20T08:24:36.470Z + card-last-score:: 5 + - ```R + # to divide numbers in R, simply use "/" + 10/5 + ``` + - Output: + - ```R + [1] 2 + ``` + - ### Exponents #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:12.050Z + card-last-reviewed:: 2022-10-03T11:42:12.050Z + card-last-score:: 5 + - ```R + # use "^" to raise a number to a power + 3^2 + 3^{-1} # use curly braces + ``` + - Output: + - ```R + [1] 9 + [1] 0.3333333 + ``` + - ### Square Roots #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:31:00.356Z + card-last-reviewed:: 2022-09-30T08:31:00.357Z + card-last-score:: 5 + - ```R + # use the function "sqrt()" to get the square root of a number in R + sqrt(16) + ``` + - Output: + - ```R + [1] 4 + ``` + - + - ### Modulus #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:16:16.109Z + card-last-reviewed:: 2022-09-30T12:16:16.109Z + card-last-score:: 5 + - ```R + # use "%%" to get the modulus + 19%%6 + ``` + - Output: + - ```R + [1] 1 + ``` +- ## Rounding in R + - ### Absolute Value #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:29:25.342Z + card-last-reviewed:: 2022-10-01T13:29:25.343Z + card-last-score:: 5 + - ```R + # use "abs()" to get absolute value in R + abs(-1) + ``` + - Output: + - ```R + [1] 1 + ``` + - ### Rounding #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:28:49.505Z + card-last-reviewed:: 2022-10-01T17:28:49.505Z + card-last-score:: 5 + - The function `round()` in R goes not necessarily do what you would expect when rounding numbers ending in **.5** - ^^it rounds to the nearest **even** number.^^ + - If you always round up numbers ending in .5, then you are causing an upwards bias. + - The rounding to even numbers will tend to average out at a zero bias, as 50% go up and 50% go down. + - ```R + # use "round()" to round + round(1.5) + round(0.5) + round(0.7) + ``` + - Output: + - ```R + [1] 2 + [1] 0 + [1] 1 + ``` +- ## $\pi$ in R #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:10:40.446Z + card-last-reviewed:: 2022-09-30T12:10:40.446Z + card-last-score:: 5 + - ```R + # to get pi in R, simply use the in-built constant "pi" + pi + ``` + - Output: + - ```R + [1] 3.141593 + ``` +- ## Trigonometric Functions in R + - ### Sine in R #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:29:09.246Z + card-last-reviewed:: 2022-09-30T08:29:09.246Z + card-last-score:: 5 + - ```R + # to get the sine of a number in R, use the function "sin()" + sin(0.5 * pi) + sin(pi) + ``` + - Output: + - ```R + [1] 1 + [1] 1.224647e-16 + ``` + - ^^**Note:**^^ $1.224606e-16 \approx 0$. Due to the way computers store numbers, decimals are often slightly off, so $sine(\pi) \ne 0$ even though it should, of course, be equal to zero. Be careful of this! + - ### Cosine in R #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:15.641Z + card-last-reviewed:: 2022-10-01T17:35:15.641Z + card-last-score:: 5 + - ```R + # use "cos()" to get cosine + cos(0) + ``` + - Output: + - ```R + [1] 1 + ``` + - ### Tangent in R #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:41:56.642Z + card-last-reviewed:: 2022-10-03T11:41:56.643Z + card-last-score:: 5 + - ```R + # use "tan()" to get tangent + tan(0) + ``` + - Output: + - ```R + [1] 0 + ``` +- ## Logarithms in R + - ### Natural Log #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:45:32.515Z + card-last-reviewed:: 2022-10-03T11:45:32.515Z + card-last-score:: 5 + - ```R + log(1) + ``` + - Output: + - ```R` + [1] 0 + ``` + - ### Logs to a Given Base #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:35:14.456Z + card-last-score:: 1 + - ```R + # log() + log10(100) + ``` + - Output: + - ```R + [1] 2 + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-11-11T12_04_45.382Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-11-11T12_04_45.382Z.Desktop.md new file mode 100644 index 00000000..4e6216fb --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Using R as a Calculator/2022-11-11T12_04_45.382Z.Desktop.md @@ -0,0 +1,248 @@ +title:: Using R as a Calculator + +- #[[ST2001 Labs]] +- **Previous Topic:** null +- **Next Topic:** [[Describing Data in R]] +- No relevant slides +- +- ## Basic Algebra in R + - ### Addition #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:29:23.664Z + card-last-reviewed:: 2022-10-01T13:29:23.665Z + card-last-score:: 5 + - ```R + # to add numbers in R, simply use "+" + 2+2 + ``` + - Output: + - ```R + [1] 4 + ``` + - ### Subtraction #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:29:47.794Z + card-last-reviewed:: 2022-10-01T17:29:47.794Z + card-last-score:: 5 + - ```R + # to subtract numbers in R, simply use "-" + 4-2 + ``` + - Output: + - ```R + [1] 2 + ``` + - ### Multiplication #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:39.178Z + card-last-reviewed:: 2022-10-01T17:35:39.178Z + card-last-score:: 5 + - ```R + # to multiply numbers in R, simply use "*" + 5*2 + ``` + - Output: + - ```R + [1] 10 + ``` + - ### Division #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-22T23:24:36.469Z + card-last-reviewed:: 2022-10-20T08:24:36.470Z + card-last-score:: 5 + - ```R + # to divide numbers in R, simply use "/" + 10/5 + ``` + - Output: + - ```R + [1] 2 + ``` + - ### Exponents #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:42:12.050Z + card-last-reviewed:: 2022-10-03T11:42:12.050Z + card-last-score:: 5 + - ```R + # use "^" to raise a number to a power + 3^2 + 3^{-1} # use curly braces + ``` + - Output: + - ```R + [1] 9 + [1] 0.3333333 + ``` + - ### Square Roots #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:31:00.356Z + card-last-reviewed:: 2022-09-30T08:31:00.357Z + card-last-score:: 5 + - ```R + # use the function "sqrt()" to get the square root of a number in R + sqrt(16) + ``` + - Output: + - ```R + [1] 4 + ``` + - + - ### Modulus #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:16:16.109Z + card-last-reviewed:: 2022-09-30T12:16:16.109Z + card-last-score:: 5 + - ```R + # use "%%" to get the modulus + 19%%6 + ``` + - Output: + - ```R + [1] 1 + ``` +- ## Rounding in R + - ### Absolute Value #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:29:25.342Z + card-last-reviewed:: 2022-10-01T13:29:25.343Z + card-last-score:: 5 + - ```R + # use "abs()" to get absolute value in R + abs(-1) + ``` + - Output: + - ```R + [1] 1 + ``` + - ### Rounding #card + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-11T22:28:49.505Z + card-last-reviewed:: 2022-10-01T17:28:49.505Z + card-last-score:: 5 + - The function `round()` in R goes not necessarily do what you would expect when rounding numbers ending in **.5** - ^^it rounds to the nearest **even** number.^^ + - If you always round up numbers ending in .5, then you are causing an upwards bias. + - The rounding to even numbers will tend to average out at a zero bias, as 50% go up and 50% go down. + - ```R + # use "round()" to round + round(1.5) + round(0.5) + round(0.7) + ``` + - Output: + - ```R + [1] 2 + [1] 0 + [1] 1 + ``` +- ## $\pi$ in R #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T16:10:40.446Z + card-last-reviewed:: 2022-09-30T12:10:40.446Z + card-last-score:: 5 + - ```R + # to get pi in R, simply use the in-built constant "pi" + pi + ``` + - Output: + - ```R + [1] 3.141593 + ``` +- ## Trigonometric Functions in R + - ### Sine in R #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-11T12:29:09.246Z + card-last-reviewed:: 2022-09-30T08:29:09.246Z + card-last-score:: 5 + - ```R + # to get the sine of a number in R, use the function "sin()" + sin(0.5 * pi) + sin(pi) + ``` + - Output: + - ```R + [1] 1 + [1] 1.224647e-16 + ``` + - ^^**Note:**^^ $1.224606e-16 \approx 0$. Due to the way computers store numbers, decimals are often slightly off, so $sine(\pi) \ne 0$ even though it should, of course, be equal to zero. Be careful of this! + - ### Cosine in R #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:35:15.641Z + card-last-reviewed:: 2022-10-01T17:35:15.641Z + card-last-score:: 5 + - ```R + # use "cos()" to get cosine + cos(0) + ``` + - Output: + - ```R + [1] 1 + ``` + - ### Tangent in R #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:41:56.642Z + card-last-reviewed:: 2022-10-03T11:41:56.643Z + card-last-score:: 5 + - ```R + # use "tan()" to get tangent + tan(0) + ``` + - Output: + - ```R + [1] 0 + ``` +- ## Logarithms in R + - ### Natural Log #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-07T19:44:02.657Z + card-last-reviewed:: 2022-11-09T12:44:02.657Z + card-last-score:: 3 + - ```R + log(1) + ``` + - Output: + - ```R` + [1] 0 + ``` + - ### Logs to a Given Base #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-20T23:00:00.000Z + card-last-reviewed:: 2022-10-20T08:35:14.456Z + card-last-score:: 1 + - ```R + # log() + log10(100) + ``` + - Output: + - ```R + [1] 2 + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Variables & Types/2022-09-26T11_18_16.641Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Variables & Types/2022-09-26T11_18_16.641Z.Desktop.md new file mode 100644 index 00000000..b5252742 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Variables & Types/2022-09-26T11_18_16.641Z.Desktop.md @@ -0,0 +1,93 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[More Java Code]] +- **Next Topic:** [[Modelling the Problem]] +- **Relevant Slides:** ![Lecture 5__2022.pdf](../assets/Lecture_5_2022_1663833716061_0.pdf) +- +- +- A **variable** is a symbol used to store a value. +- What is a **strongly typed** language? #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-09-26T20:28:18.951Z + card-last-reviewed:: 2022-09-22T20:28:18.952Z + card-last-score:: 5 + - In a **strongly typed** language, you have to tell the compiler / interpreter what **type** the variable is. + - The compiler / interpreter knows how much space to allocate a variable of a certain type in memory. +- +- # Java Primitive Variables + - ![image.png](../assets/image_1663834185000_0.png) + - ## Default Values + - Each primitive variable has a **default value**. + - The default value is used ^^only when the variable is used as a **field** (instance variable).^^ + - If the field is not explicitly assigned a value, the default value is used. + - For example, the default value for an `int` variable is `0`. + - + - The "Code Pad" in BlueJ automatically initialises variables as if they were instance variables. + - This will not happen in a true Java program, but it is useful for learning the default values. +- +- # Reference / Object Types + collapsed:: true + - What is a **reference type**? #card + - A **reference type** is a data type that's based on a class rather than on one of the primitive types that are built into the Java language. + - There are 4 categories of reference type: + - Object Types + - Interface Types + - Enum Types + - Array Types + - ## Null Default Value + - The default value of all reference variables is `null`. + - `null` is a special value in Java meaning "no object". + - When you first declare a reference variable, its value is `null`. + - + - ### `NullPointerException` + - One of the most common errors generated when running a Java program is `NullPointerException`. + - This error is thrown when your program encounters a reference variable that has not been initialised. + - This means that the variable points to its default value = `null`. + - Your program then tries to get the object that the variable is pointing to do something, but the object doesn't exist, causing Java to generate a `NullPointerException`. + - + - ### Memory Leak + - ```java + Bicycle bike1; // bike1 points to null + Bicycle bike2; // bike2 points to null + + // bike1 & bile2 are assigned to point to the Bicycle objects just initialised + bike1 = new Bicycle(); + bike2 = new Bicycle(); + + // bike1 & bike2 now both point to null again. + bike1 = null; + bike2 = null; + ``` + - What happens to the bicycle objects that were created but can no longer be referenced? + - This is what's called a **memory leak**. + - In this case, you have 2 objects occupying from memory, and you have not deallocated them from memory. + - In fact, there is no way to deallocate them. + - + - #### Garbage Collector + - The **Garbage Collector** is part of the JRE's memory management process. + - It runs in the background keeping track of the live objects in a program, and marking the rest as garbage. + - The data in these marked areas are subsequently deleted, freeing up memory. + - + - ## Object Reference Type + - What is an **Object Reference Type**? #card + - An **Object Reference Type** is a variable that ^^points to an object.^^ + - It is a **pointer**. + - A primitive variable contains the value of that primitive type. + - A variable can never contain an object, but it can contain a pointer to that object. + - A reference variable contains the value of the memory location of an object. + - For example: + - ```java + Wheel wheel = new Wheel(); + ``` + - The `wheel` variable contains the value of the memory location of the new Wheel object. + - A reference variable does **not** contain the value of the object. + - +- +- # Test-Driven Development + - **TTD** is an *incremental approach* to solving a problem. + - Incrementally create Stub classes & Stub methods so that your code compiles & runs at all times. + - To start with, it may run - but it might not do anything interesting. + - Gradually, we add functionality - making sure that it compiles & runs. + - We keep doing this until we achieve our minimum criteria for success. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Variables & Types/2022-10-07T18_07_00.029Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Variables & Types/2022-10-07T18_07_00.029Z.Desktop.md new file mode 100644 index 00000000..0e09e193 --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Variables & Types/2022-10-07T18_07_00.029Z.Desktop.md @@ -0,0 +1,104 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[More Java Code]] +- **Next Topic:** [[OOP Modelling]] +- **Relevant Slides:** ![Lecture 5__2022.pdf](../assets/Lecture_5_2022_1663833716061_0.pdf) +- +- +- A **variable** is a symbol used to store a value. +- What is a **strongly typed** language? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-07T14:32:33.157Z + card-last-reviewed:: 2022-10-03T14:32:33.157Z + card-last-score:: 3 + - In a **strongly typed** language, you have to tell the compiler / interpreter what **type** the variable is. + - The compiler / interpreter knows how much space to allocate a variable of a certain type in memory. +- +- # Java Primitive Variables + - ![image.png](../assets/image_1663834185000_0.png) + - ## Default Values + - Each primitive variable has a **default value**. + - The default value is used ^^only when the variable is used as a **field** (instance variable).^^ + - If the field is not explicitly assigned a value, the default value is used. + - For example, the default value for an `int` variable is `0`. + - + - The "Code Pad" in BlueJ automatically initialises variables as if they were instance variables. + - This will not happen in a true Java program, but it is useful for learning the default values. +- +- # Reference / Object Types + - What is a **reference type**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-reviewed:: 2022-10-07T10:45:59.086Z + card-last-score:: 1 + - A **reference type** is a data type that's based on a class rather than on one of the primitive types that are built into the Java language. + - There are 4 categories of reference type: + - Object Types + - Interface Types + - Enum Types + - Array Types + - ## Null Default Value + - The default value of all reference variables is `null`. + - `null` is a special value in Java meaning "no object". + - When you first declare a reference variable, its value is `null`. + - + - ### `NullPointerException` + - One of the most common errors generated when running a Java program is `NullPointerException`. + - This error is thrown when your program encounters a reference variable that has not been initialised. + - This means that the variable points to its default value = `null`. + - Your program then tries to get the object that the variable is pointing to do something, but the object doesn't exist, causing Java to generate a `NullPointerException`. + - + - ### Memory Leak + - ```java + Bicycle bike1; // bike1 points to null + Bicycle bike2; // bike2 points to null + + // bike1 & bile2 are assigned to point to the Bicycle objects just initialised + bike1 = new Bicycle(); + bike2 = new Bicycle(); + + // bike1 & bike2 now both point to null again. + bike1 = null; + bike2 = null; + ``` + - What happens to the bicycle objects that were created but can no longer be referenced? + - This is what's called a **memory leak**. + - In this case, you have 2 objects occupying from memory, and you have not deallocated them from memory. + - In fact, there is no way to deallocate them. + - + - #### Garbage Collector + - The **Garbage Collector** is part of the JRE's memory management process. + - It runs in the background keeping track of the live objects in a program, and marking the rest as garbage. + - The data in these marked areas are subsequently deleted, freeing up memory. + - + - ## Object Reference Type + - What is an **Object Reference Type**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-08T12:15:56.014Z + card-last-reviewed:: 2022-10-04T12:15:56.014Z + card-last-score:: 5 + - An **Object Reference Type** is a variable that ^^points to an object.^^ + - It is a **pointer**. + - A primitive variable contains the value of that primitive type. + - A variable can never contain an object, but it can contain a pointer to that object. + - A reference variable contains the value of the memory location of an object. + - For example: + - ```java + Wheel wheel = new Wheel(); + ``` + - The `wheel` variable contains the value of the memory location of the new Wheel object. + - A reference variable does **not** contain the value of the object. + - +- +- # Test-Driven Development + - **TTD** is an *incremental approach* to solving a problem. + - Incrementally create Stub classes & Stub methods so that your code compiles & runs at all times. + - To start with, it may run - but it might not do anything interesting. + - Gradually, we add functionality - making sure that it compiles & runs. + - We keep doing this until we achieve our minimum criteria for success. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/Variables & Types/2022-10-10T11_59_52.484Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/Variables & Types/2022-10-10T11_59_52.484Z.Desktop.md new file mode 100644 index 00000000..72be125b --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/Variables & Types/2022-10-10T11_59_52.484Z.Desktop.md @@ -0,0 +1,104 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[More Java Code]] +- **Next Topic:** [[OOP Modelling]] +- **Relevant Slides:** ![Lecture 5__2022.pdf](../assets/Lecture_5_2022_1663833716061_0.pdf) +- +- +- A **variable** is a symbol used to store a value. +- What is a **strongly typed** language? #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-18T05:20:33.573Z + card-last-reviewed:: 2022-10-07T15:20:33.573Z + card-last-score:: 5 + - In a **strongly typed** language, you have to tell the compiler / interpreter what **type** the variable is. + - The compiler / interpreter knows how much space to allocate a variable of a certain type in memory. +- +- # Java Primitive Variables + - ![image.png](../assets/image_1663834185000_0.png) + - ## Default Values + - Each primitive variable has a **default value**. + - The default value is used ^^only when the variable is used as a **field** (instance variable).^^ + - If the field is not explicitly assigned a value, the default value is used. + - For example, the default value for an `int` variable is `0`. + - + - The "Code Pad" in BlueJ automatically initialises variables as if they were instance variables. + - This will not happen in a true Java program, but it is useful for learning the default values. +- +- # Reference / Object Types + - What is a **reference type**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-reviewed:: 2022-10-08T15:28:10.673Z + card-last-score:: 1 + - A **reference type** is a data type that's based on a class rather than on one of the primitive types that are built into the Java language. + - There are 4 categories of reference type: + - Object Types + - Interface Types + - Enum Types + - Array Types + - ## Null Default Value + - The default value of all reference variables is `null`. + - `null` is a special value in Java meaning "no object". + - When you first declare a reference variable, its value is `null`. + - + - ### `NullPointerException` + - One of the most common errors generated when running a Java program is `NullPointerException`. + - This error is thrown when your program encounters a reference variable that has not been initialised. + - This means that the variable points to its default value = `null`. + - Your program then tries to get the object that the variable is pointing to do something, but the object doesn't exist, causing Java to generate a `NullPointerException`. + - + - ### Memory Leak + - ```java + Bicycle bike1; // bike1 points to null + Bicycle bike2; // bike2 points to null + + // bike1 & bile2 are assigned to point to the Bicycle objects just initialised + bike1 = new Bicycle(); + bike2 = new Bicycle(); + + // bike1 & bike2 now both point to null again. + bike1 = null; + bike2 = null; + ``` + - What happens to the bicycle objects that were created but can no longer be referenced? + - This is what's called a **memory leak**. + - In this case, you have 2 objects occupying from memory, and you have not deallocated them from memory. + - In fact, there is no way to deallocate them. + - + - #### Garbage Collector + - The **Garbage Collector** is part of the JRE's memory management process. + - It runs in the background keeping track of the live objects in a program, and marking the rest as garbage. + - The data in these marked areas are subsequently deleted, freeing up memory. + - + - ## Object Reference Type + - What is an **Object Reference Type**? #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-19T12:55:37.899Z + card-last-reviewed:: 2022-10-08T22:55:37.900Z + card-last-score:: 5 + - An **Object Reference Type** is a variable that ^^points to an object.^^ + - It is a **pointer**. + - A primitive variable contains the value of that primitive type. + - A variable can never contain an object, but it *can* contain a **pointer** to that object. + - A reference variable ^^contains the value of the memory location of an object.^^ + - For example: + - ```java + Wheel wheel = new Wheel(); + ``` + - The `wheel` variable contains the value of the memory location of the new Wheel object. + - A reference variable does **not** contain the value of the object. + - +- +- # Test-Driven Development + - **TTD** is an *incremental approach* to solving a problem. + - Incrementally create Stub classes & Stub methods so that your code compiles & runs at all times. + - To start with, it may run - but it might not do anything interesting. + - Gradually, we add functionality - making sure that it compiles & runs. + - We keep doing this until we achieve our minimum criteria for success. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/絵からできた漢字１/2022-10-07T08_33_33.390Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/絵からできた漢字１/2022-10-07T08_33_33.390Z.Desktop.md new file mode 100644 index 00000000..daa1aceb --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/絵からできた漢字１/2022-10-07T08_33_33.390Z.Desktop.md @@ -0,0 +1,13 @@ +- #日本語チャレンジ +- **Lesson 1: Pictographs 1** +- +- ## 山 #card + card-last-interval:: 4 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-10-04T08:26:02.673Z + card-last-reviewed:: 2022-09-30T08:26:02.674Z + card-last-score:: 3 + - **Meaning:** 山 -> やま-> mountain. + - **Readings:** やま、サン。 + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/bak/pages/絵からできた漢字１/2022-10-20T09_05_58.015Z.Desktop.md b/second/semester1/logseq-stuff/logseq/bak/pages/絵からできた漢字１/2022-10-20T09_05_58.015Z.Desktop.md new file mode 100644 index 00000000..549a6d3e --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/bak/pages/絵からできた漢字１/2022-10-20T09_05_58.015Z.Desktop.md @@ -0,0 +1,13 @@ +- #日本語チャレンジ +- **Lesson 1: Pictographs 1** +- +- ## 山 #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-10T17:20:55.345Z + card-last-reviewed:: 2022-10-06T17:20:55.346Z + card-last-score:: 5 + - **Meaning:** 山 -> やま-> mountain. + - **Readings:** やま、サン。 + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/config.edn b/second/semester1/logseq-stuff/logseq/config.edn new file mode 100644 index 00000000..c7a3411d --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/config.edn @@ -0,0 +1,299 @@ +{:meta/version 1 + + ;; Currently, we support either "Markdown" or "Org". + ;; This can overwrite your global preference so that + ;; maybe your personal preferred format is Org but you'd + ;; need to use Markdown for some projects. + ;; :preferred-format "" + + ;; Preferred workflow style. + ;; Value is either ":now" for NOW/LATER style, + ;; or ":todo" for TODO/DOING style. + :preferred-workflow :todo + + ;; The app will ignore those directories or files. + ;; E.g. :hidden ["/archived" "/test.md" "../assets/archived"] + :hidden [] + + ;; When creating the new journal page, the app will use your template if there is one. + ;; You only need to input your template name here. + :default-templates + {:journals ""} + + ;; Whether to enable hover on tooltip preview feature + ;; Default is true, you can also toggle this via setting page + :ui/enable-tooltip? true + + ;; Enable Block timestamp + :feature/enable-block-timestamps? false + + ;; Enable remove accents when searching. + ;; After toggle this option, please remember to rebuild your search index by press (cmd+c cmd+s). + :feature/enable-search-remove-accents? true + + ;; Disable Built-in Scheduled and deadline Query + ;; :feature/disable-scheduled-and-deadline-query? true + + ;; Specify the date on which the week starts. + ;; Goes from 0 to 6 (Monday to Sunday), default to 6 + :start-of-week 6 + + ;; Specify a custom CSS import + ;; This option take precedence over your local `logseq/custom.css` file + ;; You may find a list of awesome logseq themes here: + ;; https://github.com/logseq/awesome-logseq#css-themes + ;; Example: + ;; :custom-css-url "@import url('https://cdn.jsdelivr.net/gh/dracula/logseq@master/custom.css');" + + ;; Set Bullet indentation when exporting + ;; default option: tab + ;; Possible options are for `:sidebar` are + ;; 1. `:eight-spaces` as eight spaces + ;; 2. `:four-spaces` as four spaces + ;; 3. `:two-spaces` as two spaces + ;; :export/bullet-indentation :tab + + + ;; When :all-pages-public? true, export repo would export all pages within that repo. + ;; Regardless of whether you've set any page to public or not. + ;; Example: + ;; :publishing/all-pages-public? true + + ;; Specify default home page and sidebar status for Logseq + ;; If not specified, Logseq default opens journals page on startup + ;; value for `:page` is name of page + ;; Possible options for `:sidebar` are + ;; 1. `"Contents"` to open up `Contents` in sidebar by default + ;; 2. `page name` to open up some page in sidebar + ;; 3. Or multiple pages in an array ["Contents" "Page A" "Page B"] + ;; If `:sidebar` is not set, sidebar will be hidden + ;; Example: + ;; 1. Setup page "Changelog" as home page and "Contents" in sidebar + ;; :default-home {:page "Changelog", :sidebar "Contents"} + ;; 2. Setup page "Jun 3rd, 2021" as home page without sidebar + ;; :default-home {:page "Jun 3rd, 2021"} + ;; 3. Setup page "home" as home page with multiple pages in sidebar + ;; :default-home {:page "home" :sidebar ["page a" "page b"]} + + ;; Tell logseq to use a specific folder in the repo as a default location for notes + ;; if not specified, notes are stored in `pages` directory + ;; :pages-directory "your-directory" + + ;; Tell logseq to use a specific folder in the repo as a default location for journals + ;; if not specified, journals are stored in `journals` directory + ;; :journals-directory "your-directory" + + ;; Set this to true will convert + ;; `[[Grant Ideas]]` to `[[file:./grant_ideas.org][Grant Ideas]]` for org-mode + ;; For more, see https://github.com/logseq/logseq/issues/672 + ;; :org-mode/insert-file-link? true + + ;; If you prefer to use the file name as the page title + ;; instead of the first heading's title + ;; the only option for now is `file` + ;; :page-name-order "file" + + ;; Setup custom shortcuts under `:shortcuts` key + ;; Syntax: + ;; 1. `+` means keys pressing simultaneously. eg: `ctrl+shift+a` + ;; 2. ` ` empty space between keys represents key chords. eg: `t s` means press `s` follow by `t` + ;; 3. `mod` means `Ctrl` for Windows/Linux and `Command` for Mac + ;; 4. use `false` to disable particular shortcut + ;; 4. you can define multiple bindings for one action, eg `["ctrl+j" "down"]` + ;; full list of configurable shortcuts are available below: + ;; https://github.com/logseq/logseq/blob/master/src/main/frontend/modules/shortcut/config.cljs + ;; Example: + ;; :shortcuts + ;; {:editor/new-block "enter" + ;; :editor/new-line "shift+enter" + ;; :editor/insert-link "mod+shift+k" + ;; :editor/hightlight false + ;; :ui/toggle-settings "t s" + ;; :editor/up ["ctrl+k" "up"] + ;; :editor/down ["ctrl+j" "down"] + ;; :editor/left ["ctrl+h" "left"] + ;; :editor/right ["ctrl+l" "right"]} + :shortcuts {} + + ;; By default, pressing `Enter` in the document mode will create a new line. + ;; Set this to `true` so that it's the same behaviour as the usual outliner mode. + :shortcut/doc-mode-enter-for-new-block? false + + ;; Block content larger than `block/content-max-length` will not be searchable + ;; or editable for performance. + :block/content-max-length 5000 + + ;; Whether to show command doc on hover + :ui/show-command-doc? true + + ;; Whether to show empty bullets for non-document mode (the default mode) + :ui/show-empty-bullets? false + + ;; Pre-defined :view function to use in Query + :query/views + {:pprint + (fn [r] [:pre.code (pprint r)])} + + ;; Pre-defined :result-transform function to use in Query + :query/result-transforms + {:sort-by-priority + (fn [result] (sort-by (fn [h] (get h :block/priority "Z")) result))} + + ;; The app will show those queries in today's journal page, + ;; the "NOW" query asks the tasks which need to be finished "now", + ;; the "NEXT" query asks the future tasks. + :default-queries + {:journals + [{:title "🔨 NOW" + :query [:find (pull ?h [*]) + :in $ ?start ?today + :where + [?h :block/marker ?marker] + [(contains? #{"NOW" "DOING"} ?marker)] + [?h :block/page ?p] + [?p :block/journal? true] + [?p :block/journal-day ?d] + [(>= ?d ?start)] + [(<= ?d ?today)]] + :inputs [:14d :today] + :result-transform (fn [result] + (sort-by (fn [h] + (get h :block/priority "Z")) result)) + :collapsed? false} + {:title "📅 NEXT" + :query [:find (pull ?h [*]) + :in $ ?start ?next + :where + [?h :block/marker ?marker] + [(contains? #{"NOW" "LATER" "TODO"} ?marker)] + [?h :block/page ?p] + [?p :block/journal? true] + [?p :block/journal-day ?d] + [(> ?d ?start)] + [(< ?d ?next)]] + :inputs [:today :7d-after] + :collapsed? false}]} + + ;; Add your own commands to slash menu to speedup. + ;; E.g. + ;; :commands + ;; [ + ;; ["js" "Javascript"] + ;; ["md" "Markdown"] + ;; ] + :commands + [] + + ;; By default, a block can only be collapsed if it has some children. + ;; `:outliner/block-title-collapse-enabled? true` enables a block with a title + ;; (multiple lines) can be collapsed too. For example: + ;; - block title + ;; block content + :outliner/block-title-collapse-enabled? false + + ;; Macros replace texts and will make you more productive. + ;; For example: + ;; Change the :macros value below to: + ;; {"poem" "Rose is $1, violet's $2. Life's ordered: Org assists you."} + ;; input "{{poem red,blue}}" + ;; becomes + ;; Rose is red, violet's blue. Life's ordered: Org assists you. + :macros {} + + ;; The default level to be opened for the linked references. + ;; For example, if we have some example blocks like this: + ;; - a [[page]] (level 1) + ;; - b (level 2) + ;; - c (level 3) + ;; - d (level 4) + ;; + ;; With the default value of level 2, `b` will be collapsed. + ;; If we set the level's value to 3, `b` will be opened and `c` will be collapsed. + :ref/default-open-blocks-level 2 + + :ref/linked-references-collapsed-threshold 50 + + :favorites ["How to take dummy notes?"] + + ;; any number between 0 and 1 (the greater it is the faster the changes of the next-interval of card reviews) (default 0.5) + ;; :srs/learning-fraction 0.5 + + ;; the initial interval after the first successful review of a card (default 4) + ;; :srs/initial-interval 4 + + ;; hide specific properties for blocks + ;; E.g. :block-hidden-properties #{:created-at :updated-at} + ;; :block-hidden-properties #{} + + ;; Enable all your properties to have corresponding pages + :property-pages/enabled? true + + ;; Properties to exclude from having property pages + ;; E.g.:property-pages/excludelist #{:duration :author} + ;; :property-pages/excludelist + + ;; Enables property values to contain a mix of tags, page-refs, special + ;; punctuation and free-form text. + ;; Re-index current graph for config to take effect + ;; :rich-property-values? true + + ;; logbook setup + ;; :logbook/settings + ;; {:with-second-support? false ;limit logbook to minutes, seconds will be eliminated + ;; :enabled-in-all-blocks true ;display logbook in all blocks after timetracking + ;; :enabled-in-timestamped-blocks false ;don't display logbook at all + ;; } + + ;; Mobile photo uploading setup + ;; :mobile/photo + ;; {:allow-editing? true} + + ;; Mobile features options + ;; Gestures + ;; :mobile + ;; {:gestures/disabled-in-block-with-tags ["kanban"]} + + ;; Extra CodeMirror options + ;; :editor/extra-codemirror-options {:keyMap "emacs" :lineWrapping true} + + ;; ignore #+keyword: for parsing page references in orgmode + ;; :ignored-page-references-keywords #{"author" "startup"} + + ;; Quick capture templates on mobile for recieving contents from other apps. + ;; Each template contains three elements {time}, {text} and {url}, which can be auto-expanded + ;; by received contents from other apps. Note: the {} cannot be omitted. + ;; - {time}: capture time + ;; - {text}: text that users selected before sharing. + ;; - {url}: url or assets path for media files stored in Logseq. + ;; You can also reorder them, or even only use one or two of them in the template. + ;; You can also insert or format any text in the template as shown in the following examples. + ;; :quick-capture-templates + ;; {:text "[[quick capture]] **{time}**: {text} from {url}" + ;; :media "[[quick capture]] **{time}**: {url}"} + + ;; File sync options + + ;; In addition to those directories created by Logseq, + ;; files specified in the `:file-sync/monitor-dirs` directories will be synchronized too. + ;; + ;; Directories created by Logseq include: + ;; ["assets" "journals" "logseq" "pages" "draws"]. + :file-sync/monitor-dirs [] + + ;; Ignore these files when syncing, regexp is supported. + :file-sync/ignore-files [".DS_Store$"] + :journal/page-title-format "yyyy年MM月dd日" + :graph/settings {:builtin-pages? false, :journal? false} + + ;; dwim (do what I mean) for Enter key when editing. + ;; Context-awareness of Enter key makes editing more easily + ; :dwim/settings { + ; :admonition&src? true + ; :markup? false + ; :block-ref? true + ; :page-ref? true + ; :properties? true + ; :list? true + ; } + + } diff --git a/second/semester1/logseq-stuff/logseq/custom.css b/second/semester1/logseq-stuff/logseq/custom.css new file mode 100644 index 00000000..e69de29b diff --git a/second/semester1/logseq-stuff/logseq/graphs-txid.edn b/second/semester1/logseq-stuff/logseq/graphs-txid.edn new file mode 100644 index 00000000..e69de29b diff --git a/second/semester1/logseq-stuff/logseq/metadata.edn b/second/semester1/logseq-stuff/logseq/metadata.edn new file mode 100644 index 00000000..9e26dfee --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/metadata.edn @@ -0,0 +1 @@ +{} \ No newline at end of file diff --git a/second/semester1/logseq-stuff/logseq/pages-metadata.edn b/second/semester1/logseq-stuff/logseq/pages-metadata.edn new file mode 100644 index 00000000..c050482c --- /dev/null +++ b/second/semester1/logseq-stuff/logseq/pages-metadata.edn @@ -0,0 +1,334 @@ +[{:block/name " ct230 - 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Object-Oriented Programming]] +- **Previous Topic:** [[Coding Up Inheritance]] +- **Next Topic:** [[Interfaces]] +- **Relevant Slides:** ![Lecture-13__2022.pdf](../assets/Lecture-13_2022_1666253165381_0.pdf) ![Lecture-14___2022.pdf](../assets/Lecture-14_2022_1666343488472_0.pdf) +- +- Why use an abstract class? + - You should use an abstract class in situations where you want to use inheritance but do not want another developer to create an object from the superclass. +- +- # Abstract Methods + - Abstract classes can also have **abstract methods**. + - Abstract methods are methods with no body. + - ```java + public abstract void sing(); + ``` + - In other words, they do nothing. + - Abstract methods provide the definition of a method that at least one of its subclasses must implement. +- +- # Concrete + - The adjective **concrete** is often used in OOP to denote a class or method that is **not abstract**. + - i.e., the class or method is fully implemented. +- +- # Reference Type + - An abstract class is often used as the type of a reference variable. + - ```java + Animal animal = new Canary("bruh"); + ``` +- +- # Polymorphism + - What is **polymorphism**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-18T06:09:31.768Z + card-last-reviewed:: 2022-11-14T20:09:31.768Z + card-last-score:: 5 + - **Polymorphism** refers to how an object can be treated as belonging to several types as long as those types are **higher** than the object's type in the class hierarchy. + - In general, a variable of type $X$ can point to any object that has an "is-a" relationship to type $X$. + - e.g., a variable of type `Animal` can point to a `Bird`, `Frog`, or `Fish` object. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Advanced PIE, Derangements, & Counting Functions.md b/second/semester1/logseq-stuff/pages/Advanced PIE, Derangements, & Counting Functions.md new file mode 100644 index 00000000..fd8d8f19 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Advanced PIE, Derangements, & Counting Functions.md @@ -0,0 +1,142 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Stars & Bars]] +- **Next Topic:** [[Introduction to Graph Theory]] +- **Relevant Slides:** ![MA284-Week06.pdf](../assets/MA284-Week06_1665576169094_0.pdf) +- +- # Advanced Counting Using PIE + collapsed:: true + - The PIE works for larger number of sets than 2 and 3, although it gets a little messy to write down. + - For 4 sets, we can think of it as: + - $|A \cup B \cup C \cup D| =$ (the sum of the sizes of each single set) $-$ (the sum of the sizes of each **intersection** of 2 sets) $+$ (the sum of the sizes of each **intersection** of 3 sets) $-$ (the sum of the sizes of the **intersection** of all 4 sets). + - ## Example + - How many ways can we distribute 10 slices of pie to 4 kids that such that no kid gets more than 2 slices (and each slice is distributed)? [See [the textbook](https://discrete.openmathbooks.org/dmoi3/sec_advPIE.html) for a more detailed solution.] + - The answer is obviously 0 - there will be 2 slices leftover after each kid gets the maximum of 2 slices. + - Without the restriction that nobody gets more than 2 slices, there would be $\binom{13}{3} = 286$ ways of sharing distributing the slices ($10+4-1$ stars & $4-1$ bars). + - Now, count the number of ways where a child gets more than 2 slices, i.e. some child gets $\geq 3$ slices. + - $$\binom{4}{1} \binom{7+3}{3} = 4(120) = 480$$ + - (choose one of 4 kids)(number of ways of distributing). + - Add back in the doubly counted ones, subtracted the triply counted, + - + - $$\binom{13}{3} - \binom{4}{1} \binom{10}{3} + \binom{4}{2} \binom{7}{3} - \binom{4}{3} \binom{4}{3} + \binom{4}{4} \binom{1}{3} \\ = 286 - 480 +210 -16 = 0$$ + - ## Example + - Not all problems have such easy solutions. + - How many non-negative integer solutions are there to $x_1 + x_2 + x_3 +x_4 +x_5 = 13$ if: + - 1. There are no restrictions (other than $x_i$ being an **nni**). + 2. $0\leq x_i \leq 3$ for each $i$. + - 1. $$\displaystyle \binom{13+4}{4} = \binom{17}{4}$$ + - 2. Idea: All possibilities $-$ "the wrong ones", i.e., count the possibilities where at least one of the $x_i \geq 4$. + - $\binom{5}{1}$ ways pf choosing the $x_i$ and then number of solutions to $x_1+x_2+x_3+x_4+x_5 = 9$ is $\binom{9+4}{4} = \binom{13}{4}$, i.e. $\binom{5}{1} \binom{13}{4}$. + - But we have double counted, so number of solutions with two $x_i \ geq 4$ is $\binom{5}{2}$ choices and $x_1+x_2+x_3+x_4+x_5 = 5$ has $\binom{5+4}{4} = \binom{9}{4}$ solutions. + - Answer: $\displaystyle \binom{17}{4} - \binom{5}{1} \binom{13}{4} + \binom{5}{2}\binom{9}{4} - \binom{5}{3}\binom{5}{4} +0$. + - +- # Derangements + - What is a **derangement**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-20T19:47:44.301Z + card-last-reviewed:: 2022-11-17T09:47:44.301Z + card-last-score:: 5 + - A **derangement** is a permutation where no element is left in its original place, everything is moved. + - ## Example - Derangements of 4 Letters $\text{STARS}$. + - Let $D_n$ be the number of *derangements* of $n$ objects. + - First, we will work out the formulae for $D_1$, $D_2$, $D_3$, & $D_4$. + - $$D_1 = 0,\ D_2 = 1,\ D_3 = 2,\ D_4 = 9$$ + - We derive a formula using PIE. + - We know that there are $4!$ permutations. Which ones are **not** derangements? + - Suppose that one item (at least) is left in place. + - There are $$\displaystyle \binom{4}{1} \cdot 3!$$ such permutations. + - (choose one item to not change from four)(number of ways of permutating the other items). + - However, some of these will be counted twice. + - So, by PIE, the answer is + - $$D_4 = 4! - \binom{4}{1}3! + \binom{4}{2}2!-\binom{4}{3}1!+\binom{4}{4}0!$$ + - $$D_4 = 4! - \frac{4!3!}{1!3!} +\frac{4!2!}{2!2!}-\frac{4!1!}{3!1!} + \frac{4!0!}{4!0!}$$ + - $$D_4 = 4![1-\frac{1}{1!}+\frac{1}{2!}-\frac{1}{3!}+\frac{1}{4!}] = 9$$ + - In general, the formula for $D_n$, the number of derangements of $n$ objects is + - $$D_n = n!(1-\frac{1}{1!}+\frac{1}{2!}-\frac{1}{3!}+ \dots + (-1)^n \frac{1}{n!})$$ + - Note that the series expansion for e^x is + - $$e^x = 1 + \frac{x}{1!} +\frac{x^2}{2!}+\frac{x^3}{3!} + \dots$$ + - So $$\displaystyle e^{-1} = 1 - \frac{1}{1!} + \frac{1}{2!}-\frac{1}{3!}+ \dots$$ + - So $$\displaystyle \lim_{n \to \infty} \frac{D_n}{n!} = e^{-1} \approx 0.36787$$ +- # Counting with Repetitions + - What is a **Multinomial Coefficient**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:07:58.830Z + card-last-score:: 1 + - The number of different permutations of $n$ objects, where there are $n_1$ indistinguishable objects of Type 1, $n_2$ indistinguishable objects of Type 2, ..., and $n_k$ indistinguishable objects of Type $k$, is + - $$\frac{n!}{(n_1!)(n_2!) \dots (n_k!)}$$ + - ## Example + - How many "words" can we make from the letters in the set $\{R,O,S,C,O,M,M,O,N\}$. + - If somehow the three $O$s were all distinguishable, and the two $M$s were distinguishable, the answer would be $9!$. + - But, since we can't distinguish the identical letters, + - Let's choose which of the 9 positions in which we place the three $O$s. + - This can be done in $$\displaystyle \binom{9}{3}$$ ways. + - Now, let's choose which of the remaining 6 positions in which we place the two $M$s. + - This can be done in $$\displaystyle \binom{6}{2}$$ ways. + - Finally, let's choose where to replace the remaining 4 letters. + - This can be done in $$4!$$ ways. + - By the Multiplicative Principle, the answer is + - $$\binom{9}{3}\binom{6}{2}4! = \frac{9!}{3!6!} \frac{6!}{2!}{4!} 4! = \frac{9!}{3!2!}$$ +- # Example (MA284 Semester 1 Exam, 2014/2015) + - **(i) Find the number of different arrangements of the letters in the place name `WOLLONGONG`.** + - `OOOLLNNGGW` + - $$\frac{10!}{3!2!2!2!1!} = 75600$$ + - **(ii) How many of these arrangements start with three `O`s?** + - `OOO` (one way) and 7 others. + - $$\frac{7!}{2!2!2!} = 630$$ + - **(ii) How many contain the two `G`s consecutively?** + - Treat `GG` as a single letter and permute 9 letters. + - $$\frac{9!}{3!2!2!1!} = 15120$$ + - **(iv) How many *do not* contain the two `G`s consecutively?** + - Use **(i)** - **(iv)**. + - $$75600 - 15120 = 60480$$ +- # Counting Functions + - Recall that $f: A \rightarrow B$ is a **function** that maps every element of the set $A$ onto some element of set $B$. + - We call $A$ the **domain** & $B$ the **codomain**. + - Each element of $A$ gets mapped to exactly one element of $B$. + - What does it mean if $a$ is the **image** of $b$? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-23T00:00:00.000Z + card-last-reviewed:: 2022-11-22T13:40:10.499Z + card-last-score:: 1 + - If $f(a) = b$ where $a \in A$ and $b \in B$, we say that "the **image** of $a$ is $b$", or, equivalently, "$b$ is the **image** of $a$". + - What is a **surjective** function (surjection)? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:13:44.812Z + card-last-score:: 1 + - For some function $f: A \rightarrow B$, if every element of $B$ is the image of some element $A$, we say that the function is **surjective** (also called "**onto**"). + - What is an **injective** function (injection)? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:16:06.397Z + card-last-score:: 1 + - For some function $f: A \rightarrow B$, if no two elements of $A$ have the same image in $B$, we say that the function is **injective** (also called "one-to-one"). + - What is a **bijective** function (bijection)? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:09:58.766Z + card-last-reviewed:: 2022-11-14T20:09:58.766Z + card-last-score:: 5 + - The function $f: A \rightarrow B$ is a **bijection** if it is both **surjective** & **injective**. + - Then $f$ defines a **one-to-one correspondence** between $A$ & $B$ + - ## Examples + - **Let** $A$ **&** $B$ **be finite sets. How many functions** $f: A \rightarrow B$ **are there?** + - We can use ((6336be87-7dea-4ba3-b7d0-c77a73bae948)) to deduce that there are in total $|B|^{|A|}$ functions from $A$ to $B$. + - **How many functions** $f: A\{1,2,3,4,5,6,7,8\} \rightarrow \{1,2,3,4,5,6,7,8\}$ **are bijective**? + - Remember what it means for a function to be **bijective:** ^^each element in the codomain must be the image of **exactly one** element of the domain.^^ + - What we are really doing is just rearranging the elements of the codomain, so we are defining a **permutation** of 8 elements. + - Therefore, the answer to our question is 8!. + - More generally, there are $n!$ bijections of the set $\{1,2,\cdots, n\}$ onto itself. + - [[2022年10月19日]] + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Aggregate Clauses, Group By, & Having Clauses.md b/second/semester1/logseq-stuff/pages/Aggregate Clauses, Group By, & Having Clauses.md new file mode 100644 index 00000000..159033bd --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Aggregate Clauses, Group By, & Having Clauses.md @@ -0,0 +1,55 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[SQL SELECT: Working with Strings & Subqueries]] +- **Next Topic:** [[Entity Relationship Models]] +- **Relevant Slides:** ![Topic 6 SQL_DML_aggregateFns and Group By Having.pdf](../assets/Topic_6_SQL_DML_aggregateFns_and_Group_By_Having_1664362673690_0.pdf) +- +- # Aggregate Functions #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:29:15.913Z + card-last-score:: 1 + - **Aggregate Functions** are only supported in `SELECT` clauses & `HAVING` clauses. + - Keywords `SUM`, `AVG`, `MIN`, `MAX` work as expected and can only be applied to **numeric** data. + - Keyword `COUNT` can be used to count the number of tuples / values / rows specified in a query. + - We can also use mathematical operations as part of an aggregate function on **numeric** data, e.g., `+`, `-`, `*`, `/`. +- # `GROUP BY` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-27T12:18:53.349Z + card-last-reviewed:: 2022-11-23T12:18:53.350Z + card-last-score:: 3 + - `GROUP BY ` + - The `GROUP BY` clause allows the grouping of rows of a table together so that all occurrences within a specified group are collected together. + - Aggregate clauses can then be applied to groups. + - ## Using Aggregate Functions with `GROUP BY` #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-27T15:17:10.883Z + card-last-reviewed:: 2022-11-23T12:17:10.883Z + card-last-score:: 5 + - The `GROUP BY` clause specifies the group and the aggregate function is applied to the group. + - `COUNT(*)` can be used to *count* the number of rows (tuples) in the specified groups. + - `SUM`, `AVG`, `MIN`, `MAX` can be used to find the sum, average, min, & max of a *numerical value* in a specified group. + - ^^**Important:** You must `GROUP BY` **all** attributes in the `SELECT` clause *unless* they are involved in an aggregation.^^ + - This **^^wouldn't work^^** as we do not `GROUP BY` all the attributes in the `SELECT` clause - `salary` remains ungrouped. + - ```SQL + SELECT dno, salary + FROM employee + GROUP BY dno -- THIS IS WRONG + ``` + - +- # `HAVING` #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:23.927Z + card-last-score:: 1 + - `HAVING ` + - The `HAVING` clause is used in conjunction with `GROUP BY` and allows the specification of **conditions on groups**. + - The column names in the `HAVING` clause must also appear in the `GROUP BY` list or be contained within an aggregate function, i.e., you cannot apply a `HAVING` condition to something that has not been calculated already. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Agile Methods - Extreme Programming.md b/second/semester1/logseq-stuff/pages/Agile Methods - Extreme Programming.md new file mode 100644 index 00000000..9293dd16 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Agile Methods - Extreme Programming.md @@ -0,0 +1,43 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Introduction to Agile Methods]] +- **Next Topic:** [[Bootstrap CSS]] +- **Relevant Slides:** ![Week 4 - Agile Methods, XP.pdf](../assets/Week_4_-_Agile_Methods,_XP_1664439416140_0.pdf) +- +- # XP + - **eXtreme Programming (XP)** is one of the most popular agile software development methods. + - Some characteristics of XP include: + - Pair programming. + - Refactoring. + - Test-Driven Development (TDD). + - Continuous Integration. + - Metaphor. + - Small releases. + - Simple design. + - Customer tests. + - ## Principles of XP #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-08T21:47:52.136Z + card-last-reviewed:: 2022-11-17T09:47:52.136Z + card-last-score:: 5 + - Communication. + - Simplicity. + - Feedback. + - Courage. + - Respect. + - All the contributors to an XP project (members of one team) sit together. This team must include a business representative (Product Owner) - the "Customer" - who provides the requirements, sets the priorities, and steers the project. + - ## Planning + - XP planning addresses two key questions in software development: predicting what will be accomplished by the due date, and determining what to do next. + - **Release Planning** is a practice where the Customer presents the desired features to the programmers, and the programmers estimate their difficulty. + - **Iteration Planning** is the practice whereby the team is given direction every few weeks (Sprints). + - ## Customer Tests + - As part of presenting each desired feature, the XP Customer defines one or more automated acceptance tests to show that the feature is working. + - The team builds these tests and uses them to prove to themselves, and to the customer, that the feature is implemented correctly. + - ## Small Releases + - XP teams practice small releases in two important ways: + - First, the team releases running, tested software, delivering business value chosen by the Customer, every iteration. + - Second, XP teams release to their end users frequently as well. + - ## Coding Standards + - XP teams follow a common coding standard, so that all the code +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Binomial Coefficients.md b/second/semester1/logseq-stuff/pages/Binomial Coefficients.md new file mode 100644 index 00000000..c0bd6df2 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Binomial Coefficients.md @@ -0,0 +1,154 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Principle of Inclusion-Exclusion]] +- **Next Topic:** [[Combinatorial Proofs]] +- **Relevant Slides:** ![MA284-Week03.pdf](../assets/MA284-Week03_1663699934644_0.pdf) +- +- # Binary Strings & Lattice Paths + - ## Binary Strings + - A **bit** is a "binary digit", e.g., 1 or 0. + - A **bit string** is a string (list) of bits, e.g., 1011010. + - What is the **length** of a string? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:06:32.399Z + card-last-reviewed:: 2022-11-14T20:06:32.399Z + card-last-score:: 5 + - The **length** of the string is the number of bits. + - An $n$-bit string has length $n$. + - The set of all $n$-bit strings (for given $n$) is denoted $B^n$. + - What is the **weight** of a string? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-21T00:50:01.239Z + card-last-reviewed:: 2022-11-17T09:50:01.240Z + card-last-score:: 5 + - The **weight** of the string is the number of 1s. + - The set of all $n$-bit strings of weight $k$ is denoted $B^n_k$. + - ## Lattice Paths + - What is a **lattice**? #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:05:46.936Z + card-last-reviewed:: 2022-11-14T20:05:46.936Z + card-last-score:: 3 + - The (integer) **lattice** is the set of all points in the Cartesian plane for which both the $x$ & $y$ coordinates are integers. + - What is a **lattice path**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:11:02.220Z + card-last-reviewed:: 2022-11-14T20:11:02.220Z + card-last-score:: 5 + - A **lattice path** is the ^^shortest possible path^^ connecting two points on the lattice, moving only horizontally & vertically. + - There can be multiple lattice paths, so long as they are of equally short length. + - ![image.png](../assets/image_1663745526135_0.png) + - The number of lattice paths from $(0,0)$ to $(3,2)$ is the same as $|B_3^5|$. + - The number of lattice paths from $(0,0)$ to $(3,2)$ is the same as the number from $(0,0)$ to $(2,2)$, plus the number from $(0,0)$ to $(3,1)$. +- +- # Binomial Coefficients + - What is the coefficient of say, $x^3y^2$ in $(x+y)^5$? + - $$(x+y)^0=1 + \newline + (x+y)^1=x+y + \newline + (x+y)^2=x^2+2xy+y^2 + \newline + (x+y)^3=x^3+3x^2y+3xy^2+y^3 + \newline + (x+y)^4=x^4+4x^3y+6x^2y^2+4xy^3+y^4 + \newline + (x+y)^5=x^5+5x^4y+10x^3y^2+10x^2y^3+5xy^4+y^5 + $$ + - So, by doing a lot of multiplication, we have worked out that the coefficient of $x^3y^2$ is $10$. + - But, there is a more systematic way of answering this problem. + - + - $$(x+y)^5=(x+y)(x+y)(x+y)(x+y)(x+y)$$ + - We can work out the coefficient of $x^3y^2$ in the expansion of $(x+y)^5$ by counting the number of ways we can **choose** $3$ $x$s & $2$ $y$s in + - $$(x+y)(x+y)(x+y)(x+y)(x+y)$$ + - + - The numbers that occurred in all of our examples are called **binomial coefficients**, and are denoted + - $$\binom{n}{k}$$ + - What are **Binomial Coefficients**? #card + card-last-interval:: 9.88 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-24T13:42:42.079Z + card-last-reviewed:: 2022-11-14T16:42:42.079Z + card-last-score:: 3 + - For each integer $n \geq 0$, and integer $k$ such that $0 \leq k \leq n$, there is a number $\binom{n}{k}$, read as "$n$ *choose* $k$". + - $\binom{n}{k} = |B^n_k|$, the number of $n$-bit strings of weight $k$. + - $\binom{n}{k}$ is the number of subsets of a set of size $n$, each with cardinality $k$. + - $\binom{n}{k}$ is the number of lattice paths of length $n$ containing $k$ steps to the right. + - $\binom{n}{k}$ is the coefficient of $x^k y^{n-k}$ in the expansion of $(x+y)^n$. + - $\binom{n}{k}$ is the number of ways to select $k$ objects from a total of $n$ objects. + - If we were to skip ahead, we would learn that there is a formula for $\binom{n}{k}$ (that is, "$n$ choose $k$") that is expressed in terms of **factorials**. + - Recall that the **factorial** of a natural number $n$ is: + - $$n! = n \times (n-1) \times (n-2) \times (n-4) \times ... \times 2 \times 1$$ + - We will eventually learn that + - $$\binom{n}{k} = \frac{n!}{k!(n-k)!}$$ + - However, the formula $\displaystyle \binom{n}{k} = \frac{n!}{k!(n-k)!}$ is not very useful in practice. + - +- +- # Pascal's Triangle + - ![image.png](../assets/image_1663751328603_0.png) + - Earlier, we learned that if the set of all $n$-bit strings with weight $k$ is written $B^n_k$, then + - $$|b^n_k| = |B^{n-1}_{k-1}| + |B^{n-1}_k$$ + - Similarly, we find that: + - #### Pascal's Identity: A recurrence relation for $\binom{n}{k}$ #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:47:25.425Z + card-last-score:: 1 + - $$\binom{n}{k} = \binom{n-1}{k-1} + \binom{n-1}{k}$$ + - This is often presented as **Pascal's Triangle** + - ![image.png](../assets/image_1663751709631_0.png) + - +- +- # Permutations + - What is a **permutation**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-21T00:50:12.451Z + card-last-reviewed:: 2022-11-17T09:50:12.452Z + card-last-score:: 5 + - A **permutation** is an arrangement of objects. Changing the order of the objects gives a different permutation. + - A permutation of a set must have the same cardinality as that set. + - Important: order matters! + - ### Number of Permutations + - How many **permutations** are there of $n$ objects? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:21:54.886Z + card-last-reviewed:: 2022-11-14T20:21:54.886Z + card-last-score:: 5 + - There are $n!$ (i.e., $n$ *factorial*) permutations of $n$ (distinct) objects. + - How many permutations are there of $k$ objects from $n$? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:10:57.897Z + card-last-reviewed:: 2022-11-14T20:10:57.897Z + card-last-score:: 5 + - The number of permutations of $k$ objects out of $n$, $P(n,k)$ is + - $$P(n,k) = \binom{n}{k} = n \times (n-1) \times ... \times (n - k + 1) = \frac{n!}{(n-k)!}$$ + - ## The Binomial Coefficient Formula + - (1) We know that there are $P(n,k)$ permutations of $k$ objects out of $n$. + - (2) We know that + - $$P(n,k) = \frac{n!}{(n-k)!}$$ + - (3) Another way of making a permutation of $k$ objects out of $n$ is to + - (a) Choose $k$ from $n$ without order. There $\binom{n}{k}$ ways of doing this. + - (b) Then count all the ways of ordering these $k$ objects. There are $k!$ ways of doing this. + - (c) By the Multiplicative Principle, + - $$P(n,k) = \binom{n}{k}k!$$ + - (4) So now we know that + - $$\frac{n!}{(n-k)!} = \binom{n}{k}k!$$ + - (5) This gives the formula + - $$\binom{n}{k} = \frac{n!}{(n-k)!k!}$$ + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Block Ciphers & Stream Ciphers.md b/second/semester1/logseq-stuff/pages/Block Ciphers & Stream Ciphers.md new file mode 100644 index 00000000..583e8f27 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Block Ciphers & Stream Ciphers.md @@ -0,0 +1,93 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[DIffie-Hellman Key Exchange]] +- **Next Topic:** [[Message Authentication]] +- **Relevant Slides:** ![ct255_08.pdf](../assets/ct255_08_1668429069832_0.pdf) +- +- # Block Ciphers + - ## Encryption Algorithms Based on Block Ciphers + collapsed:: true + - In a **block cipher**, the message is broken into blocks $M1$, $M2$, etc., of $K$ bits length, each of which is then encrypted. + - ![image.png](../assets/image_1668431250725_0.png) + - Most ciphers that we saw before process blocks of just one character. + - Claude Shannon suggested to use the two primitive cryptographic operations as building blocks for such ciphers: + - **Substitution**. + - **Permutation**. + - ### The Permutation Operation + - A binary word (i.e., block) has its bits re-ordered (permuted). + - The re-ordering forms the key. + - The Operation is represented by a **P-box**. + - ![image.png](../assets/image_1668431388924_0.png) + - The example allows for 15! combinations. + - The key describes the combinations used. + - ### The Substitution Operation + - A binary word is replaced by another binary word. + - The whole substitution function forms the key. + - The operation is represented by an **S-box**. + - The box below allows for 8! combinations. + - ![image.png](../assets/image_1668431515541_0.png) + - The key describes the combination used. + - ### Substitution-Permutation Network + - The key describes the internal wiring of all S-boxes & P-boxes. + - The same key can be used for encoding & decoding, hence it is a **private key encryption algorithm**. + - The direction of the process determines encoding / decoding. + - ![image.png](../assets/image_1668431596578_0.png) + - + - ## Confusion & Diffusion + - A cipher needs to completely obscure the statistical properties of the original message. + - Shannon introduced two terms to describe this: + - **Diffusion** seeks to make the statistical relationship between the plaintext & ciphertext as complex as possible. + - **Confusion** seeks to make the relationship between the statistics of the ciphertext and the value of the encryption key as complex as possible. + - Both thwart attempts to deduce the key used via a cryptanalysis. + - ## Reversible Transformation + - An important block cipher principle is **Reversible Transformation** - transformations must be reversible or non-singular. + - There must be a 1:1 association between an $n$-bit plaintext and an $n$-bit ciphertext, otherwise mapping is irreversible. + - ## Features of Private-Key Cryptography + - Traditional private/secret/single key cryptography uses one key, shared by only the sender and the receiver. + - The algorithm/cipher itself is public, i.e., not a secret. + - If the key is disclosed, communications are compromised. + - The key is also **symettric**, parties are equal. + - Hence, methods doe do not protect the sender from receiver forging . + - Examples include DES and AES. + - ## AES + - The **Advanced Encryption Standard (AES)** is the successor of DES. + - It is a modern block cipher with 128 bits block length. + - Uses 128, 192, or 256 bit long keys. + - The de-facto standard for secure encryption. + - Widely used for file/data encryption, and secure network communication. + - ## Why does Block & Key length matter? + - Cryptographic algorithms with short block length can be tackled easily. + - Large keys & long blocks prevent brute force attacks + - The DES cipher used 56-bit keys - The generally accepted minimum key length today is 128-bit. + - ### Brute Force Attacks + - Always possible to simply try every key. + - Most basic attack, effort proportional to key size. + - Assume that you either know or recognise plaintext. + - ## The Feistel Cipher + - In practice, we need to be able to decrypt messages as well as encrypt them. Hence we either need to define inverses for each of the S & P-boxes (but this doubles the code / hardware needed) or define a structure that is easy to reverse, so you can use basically the same code or hardware for both encryption & decryption. + - A **Feistel Cipher** is such a structure that is easy to reverse. + - It is based on the concept of the **invertible product cipher**. + - Most symmetric block ciphers are based on a Feistel Cipher structure. + - Feistel invented a suitable structure which adapted Shannon's S-P network into an easily invertible structure. + - Essentially, the same hardware or software is used for both encryption & decryption, with just a slight change in how the keys are used. + - ### A Single Round + collapsed:: true + - The idea is to partition the input block into two halves, $L(i-1)$ & $R(i-1)$, and use only $R(i-1)$ in the $i^{\text{th}}$ round (part) of the cipher. + - The function $g$ incorporates one stage of the S-P network, controlled by part of the key $K(i)$ known as the $i^{\text{th}}$ subkey. + - ![image.png](../assets/image_1668432986453_0.png) + - A round of a Feistel Cipher can be described functionally as: + - $$L(i) = R(i-1)$$ + - $$R(i) = L(i-1) \text{ EXOR } g(K(i), R(i-1))$$ + - ![image.png](../assets/image_1668433058620_0.png) + - + - ### A Feistel Network + - Perform multiple transformation (single rounds) sequentially, whereby the output of the $i$^{th} round becomes the input of the $(i+1)$^{th} round. + - Every round gets its own subkey, which is derived from the master key. + - The decryption process goes from bottom to top. + - ### Feistel Cipher Design Elements + - Block size. + - Key size. + - Number of rounds. + - Subkey generation algorithm. + - Round function. + - Fast software encryption / decryption. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Bootstrap CSS.md b/second/semester1/logseq-stuff/pages/Bootstrap CSS.md new file mode 100644 index 00000000..fc8923ee --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Bootstrap CSS.md @@ -0,0 +1,37 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Agile Methods - Extreme Programming]] +- **Next Topic:** [[JavaScript Functions & Events]] +- **Relevant Slides:** ![Week 7 - Bootstrap.pdf](../assets/Week_7_-_Bootstrap_1666267219478_0.pdf) +- +- # Bootstrap + - What is **Bootstrap**? #card + card-last-interval:: 3.32 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-18T03:14:11.275Z + card-last-reviewed:: 2022-11-14T20:14:11.275Z + card-last-score:: 5 + - **Bootstrap** is a CSS framework. + - It consists of CSS classes for structure, layout, components (buttons, navbar, modal, etc.), forms, written by other developers. + - This enforces a uniform layout, look, & feel on the web application. + - Bootstrap is freely available to develop websites & web applications. + - JavaScript is also used in conjunction with the CSS classes, for things like animations, transitions, popups, etc. + - The CSS within Bootstrap is quite detailed, there are lots of classes with varying levels of hierearchy. + - It's fully customisable & the web is full of themes & templates for apps built using it. + - ## Adding Bootstrap to our Web Apps + - Two options: + - 1. Download the files, i.e., CSS, JS, and place them in the app folders. + 2. Use a Content Delivery Network URL. + - What is a **CDN**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-18T06:18:01.678Z + card-last-reviewed:: 2022-11-14T20:18:01.679Z + card-last-score:: 5 + - A **Content Delivery Network (CDN)** is a popular way to include frontend libraries & technologies. + - Instead of having a single server, CDNs involve using a collection of servers to serve content. + - These servers are usually placed geographically close to the user base to ensure that maximum performance is achieved. + - CDNs are largely designed for delivering static content, images, videos, & web content such as text, graphics, & scripts. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/CPU Management - Scheduling.md b/second/semester1/logseq-stuff/pages/CPU Management - Scheduling.md new file mode 100644 index 00000000..30f0a92c --- /dev/null +++ b/second/semester1/logseq-stuff/pages/CPU Management - Scheduling.md @@ -0,0 +1,203 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Process Management]] +- **Next Topic:** [[Process Synchronisation]] +- **Relevant Slides:** ![Lecture 5.pdf](../assets/Lecture_5_1664977343897_0.pdf) +- +- # Scheduling + - What is **scheduling**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:47:50.266Z + card-last-score:: 1 + - **Scheduling** allows one process to use the CPU while the execution of another process is on hold (i.e., in the waiting state) due to unavailability of any resource like I/O etc. + - It aims to make the system efficient, fast, & fair. + - It is part of the **process manager**. + - Scheduling is the mechanism that handles the ^^**removal** of the running processes from the CPU and the **selection** of another process.^^ + - It is responsible for **multiplexing** processes in the CPU. + - When it is time for the **running** process to be removed from the CPU (into a *ready* or *suspended* state), a different process is selected from the set of processes in the ready state. + - The selection of another process is based on a particular strategy - the **scheduling algorithm** will determine the order in which the OS will execute the processes. + - + - ## Scheduler Organisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:05.897Z + card-last-score:: 1 + - When a process is changed to the *ready* state. the **enqueuer** places a pointer to the process descriptor into a **ready list**. + - Whenever the scheduler switches the CPU from executing one process to another, the **context switcher** saves the contents of all the processor registers of the process being removed into the **process' descriptor**. + - There are two types of context switch: **Voluntary** & **Involuntary**. + - The **dispatcher** is invoked after the current process has been from the CPU. + - The dispatcher chooses one of the processes enqueued in the ready list and then allocates CPU to that process by performing another context switch from *itself* to the selected process. + - ![image.png](../assets/image_1664978282949_0.png) + - ## Scheduler Types + collapsed:: true + - What are the two main types of scheduler? #card + card-last-interval:: 13.48 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-28T03:39:05.248Z + card-last-reviewed:: 2022-11-14T16:39:05.248Z + card-last-score:: 5 + - **Cooperative** Scheduler (Voluntary CPU Sharing). + - **Preemptive** Scheduler (Involuntary CPU Sharing). + - ### Cooperative Scheduler (Voluntary CPU Sharing) #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-24T02:11:30.468Z + card-last-reviewed:: 2022-11-14T20:11:30.468Z + card-last-score:: 3 + - Each process will **periodically invoke** the process scheduler, voluntarily sharing the CPU. + - Each process should call a function that will implement the process scheduling. + - $\text{yield}(P_{current}, P_{next})$ (sometimes implemented as instruction in hardware), where $P_{current}$ is an identifier of the current process and $P_{next}$ is an identifier of the next process. + - Cooperative multitasking allows much simpler implementation of applications, because their ^^execution is never unexpectedly interrupted by the process scheduler.^^ + - Possible problem: If the process does not voluntarily cooperate with the others, one process could keep the CPU forever. + - ### Preemptive Scheduler (Involuntary CPU Sharing) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:11:05.756Z + card-last-score:: 1 + - The interrupt system **enforces periodic involuntary interruption** of any process's execution; it can force a process to involuntarily execute a yield type function (or instruction). + - This is done by incorporating an **interval timer** device that produces an interrupt whenever the time expires. + - The programmable interval timer will cause an **interrupt** to run every $K$ clock ticks of a time interval, thus causing the hardware to execute the logical equivalent of a yield instruction to invoke the **interruption handler**. + - The **interrupt handler** for the timer interrupt will call the scheduler to reschedule the processor **without** any action on the part of the running process. + - The scheduler decides which process is run next. + - The scheduler is guaranteed to be invoked once every $K$ clock ticks. + - Even if a certain process executes in an infinite loop, it will **not** block the execution of the other processes. + - + - ## Performance Elements + - Having a set of processes $P = \{p_i, 0 \leq i \leq n\}$. + - **Service Time -** $\tau(p_i)$: The amount of time that a process needs to spend in the active/running state before it completes. + - **Wait Time -** $W(p_i)$: The time that the process spends waiting in the ready state before its first transition to the active state. + - **Turn-around Time -** $T_{TRnd}(p_i)$: The amount of time between the moment that a process enters the ready state and the moment that the process exits the running state for the last time. + - These elements are used to measure the performance of each scheduling algorithm. + - + - ## Selection Strategies #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:13:18.970Z + card-last-score:: 1 + - ### Non-Preemptive Strategies #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:49:49.983Z + card-last-score:: 1 + - ==Allow any process to run to completion once it has been allocated control of the CPU.== + - A process that gets the control of the CPU releases the CPU whenever it ends or when it voluntarily gives up control of the CPU. + - ### Preemptive Strategies #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-25T13:08:54.894Z + card-last-reviewed:: 2022-11-21T13:08:54.895Z + card-last-score:: 3 + - ==The process with the highest priority among all the *ready* process is allocated the CPU.== + - ==All lower priority processes are made to yield to the highest priority process whenever it requests the CPU.== + - The **scheduler** is called every time a process enters the *ready* queue as well as when an interval timer expires. + - Preemptive strategies allow for equitable resource sharing among processes, at the expense of overloading the system. + - + - ## Scheduling Algorithms + - ### First Come, First Served (FCFS) #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-23T03:12:10.431Z + card-last-reviewed:: 2022-11-14T20:12:10.431Z + card-last-score:: 3 + - **Non-preemptive** algorithm. + - This scheduling strategy assigns priority to processes by the order in which they request the processor. + - The priority of a process is computed by the enqueuer by **time stamping** all incoming processes and then having the dispatcher select the process that has the ^^oidest time stamp.^^ + - Possible implementation: Using a FIFO data structure (where each entry points to a process descriptor). The enqueuer adds processes to the tail of the queue and the dispatcher removes processes from the head of the queue. + - Easy to implement. + - Not widely used because of ^^unpredictable **turn-around time** & **waiting time**.^^ + - ### Shortest Job First (SJF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:19:28.311Z + card-last-score:: 1 + - **Non-preemptive** algorithm. + - SJF is an optimal algorithm from the perspective of **average turn-around time** - it minimises the average turn-around time. + - Preferential service of small jobs. + - Requires the ^^knowledge of the **service time**^^ for each process. + - In extreme cases where the system has little idle time, processes with large service time will never be served. + - In the case where it is not possible to know the service time for each process, the service time is estimated using predictors. + - ### Shortest Remaining Time Next (SRTN) #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-24T02:11:11.684Z + card-last-reviewed:: 2022-11-14T20:11:11.685Z + card-last-score:: 3 + - Similar to SJF, but **preemptive**. + - If a long job is mostly complete, it might have a very short time remaining, and therefore would be prioritised. + - ### Time Slice (Round Robin) #card + card-last-interval:: 8.32 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-23T03:11:54.075Z + card-last-reviewed:: 2022-11-14T20:11:54.076Z + card-last-score:: 3 + - **Preemptive** algorithm. + - Each process gets a time slice of CPU time, distributing the processing time equitably among all processes that are requesting the processor. + - Whenever the time slice expires, control of the CPU is given to the next process in the ready list, and the process being switched from is placed back into the ready process list. + - Time Slice implies the existence of a **specialised timer** that measures the processor time for each process. + - Every time a process becomes active, the timer is intitialised. + - Not very well suited for long jobs, as the scheduler will be called multiple times until the job is done. + - Very sensitive to the size of the time slice. + - Too big -> large delays in the response time for interactive processes. + - Too small -> too much time spent running the scheduler. + - Very big -> turns into FCFS. + - The time slice is determined by analysing the number of instructions that the processor can execute in a given time slice. + - + - ### Priority-Based Preemptive Scheduling (Event Driven) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:28:05.394Z + card-last-score:: 1 + - Both **preemptive** & **non-preemptive** variants exist. + - Each process has an ^^externally assigned priority.^^ + - Every time an event occurs that generates a process switch, the ^^process with the highest priority^^ is chosen from the ready process list. + - There is a possibility that processes with low priority will never gain CPU time. + - There are variants with **static** & **dynamic** priorities. + - The **dynamic priority** computation solves the problem that some processes may never gain CPU time - the longer a process waits, the higher its priority becomes. + - Used for real-time systems. + - ### Multiple Level Queue Scheduling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:11:11.306Z + card-last-score:: 1 + - Complex systems have requirements for real-time, interactive users and batch jobs - Therefore, a **combined scheduling mechanism** should be used. + - The processes are divided into **classes**. + - Each class has a process queue, and has been assigned a specific scheduling algorithm. + - Each process queue is treated according to its queue scheduling algorithm. + - Each queue is assigned a priority. + - As long as there are processes in a higher priority queue, those will be serviced. + - #### Multiple Level Queue (with Feedback) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:27:34.399Z + card-last-score:: 1 + - Same as MLQ, but the ^^processes can migrate from class to class^^ in a dynamic fashion. + - Different strategies exist to modify the priority of a process. + - Increase the priority for a given process. (E.g., the user needs a larger share of the CPU to sustain acceptable service). + - Decrease the priority for a given process. (E.g., the user process is trying to get more CPU share, which may impact on the other users). + - If a process is giving up the CPU before its time slice expires, then the process is assigned to a higher priority queue. + - During the evolution to completion, a process may go through a number of different classes. + - Any of the previous algorithms covered may be used for treating a specific process class. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/CT213 - Computer Systems & Organisation.md b/second/semester1/logseq-stuff/pages/CT213 - Computer Systems & Organisation.md new file mode 100644 index 00000000..ecaf141e --- /dev/null +++ b/second/semester1/logseq-stuff/pages/CT213 - Computer Systems & Organisation.md @@ -0,0 +1,3 @@ +- ![CT213-Slides.pdf](../assets/CT213-Slides_1662818364324_0.pdf) +- ## Lab Information + - Labs will run from **Week 03** (Week starting 2022-09-19) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/CT216 - Software Engineering I.md b/second/semester1/logseq-stuff/pages/CT216 - Software Engineering I.md new file mode 100644 index 00000000..31d7150f --- /dev/null +++ b/second/semester1/logseq-stuff/pages/CT216 - Software Engineering I.md @@ -0,0 +1,3 @@ +- **Relevant Slides:** ![Lecture00.pdf](../assets/Lecture00_1662846689898_0.pdf) +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/CT230 - Database Systems I.md b/second/semester1/logseq-stuff/pages/CT230 - Database Systems I.md new file mode 100644 index 00000000..6d357906 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/CT230 - Database Systems I.md @@ -0,0 +1,3 @@ +- #[[Second Year University]] +- **Relevant Slides:** ![Lecture00.pdf](../assets/Lecture00_1662845418512_0.pdf) +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/CT255 - Next Generation Technologies II.md b/second/semester1/logseq-stuff/pages/CT255 - Next Generation Technologies II.md new file mode 100644 index 00000000..fea2adfe --- /dev/null +++ b/second/semester1/logseq-stuff/pages/CT255 - Next Generation Technologies II.md @@ -0,0 +1,3 @@ +- # Semester 1 - Cybersecurity + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Cloud Computing.md b/second/semester1/logseq-stuff/pages/Cloud Computing.md new file mode 100644 index 00000000..15bc2e17 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Cloud Computing.md @@ -0,0 +1,80 @@ +- #[[CT216 - Software Engineering I]] +- No previous topic +- **Next Topic:** [[Software Processes]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662846749778_0.pdf) +- +- What is **Cloud Computing**? #card + card-last-interval:: 64.01 + card-repeats:: 5 + card-ease-factor:: 2.52 + card-next-schedule:: 2023-01-24T13:10:05.691Z + card-last-reviewed:: 2022-11-21T13:10:05.691Z + card-last-score:: 5 + - **Cloud Computing** is a model for enabling convenient, on-demand network access to a ^^shared pool of configurable computing resources^^ (e.g., networks, servers, storage, applications, & services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. +- What is a **Public Cloud**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:38:52.044Z + card-last-reviewed:: 2022-11-14T16:38:52.044Z + card-last-score:: 5 + - Amazon, MS Azure, & Google Cloud are examples of **public clouds**. + - Any member of the public can sign up and start provisioning computing resources within minutes. + - They are **highly scalable** and allow an organisation to grow its infrastructure rapidly. +- What is a **Private Cloud**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:39:16.682Z + card-last-reviewed:: 2022-11-14T16:39:16.682Z + card-last-score:: 5 + - Computing resources are dedicated to a single customer and not shared with other customers. + - Considered to be more **secure**. +- What is a **Hybrid Cloud**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-12T23:38:48.180Z + card-last-reviewed:: 2022-11-14T16:38:48.180Z + card-last-score:: 3 + - A **hybrid cloud** is simply a mix of public & private cloud resources. + - An organisation may choose this option if there is a mixture in the criticality of their data or computational requirements. + - Data that doesn't require heightened security can be pushed onto the **public cloud**, while data which does can be hosted on the **private cloud**. +- ## Cloud Services + - What is **SaaS**? #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-29T17:40:43.905Z + card-last-reviewed:: 2022-11-14T16:40:43.906Z + card-last-score:: 3 + - **Software as a Service (SaaS)** provides users with (essentially) ^^a **cloud application**, the platform on which it runs, & the platform's underlying infrastructure.^^ + - What is **PaaS**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T03:02:49.119Z + card-last-reviewed:: 2022-11-14T20:02:49.119Z + card-last-score:: 3 + - **Platform as a Service (PaaS)** provides users with ^^compute, networking, & storage resources.^^ +- +- What are the advantages of cloud computing? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:48:16.198Z + card-last-reviewed:: 2022-11-14T16:48:16.199Z + card-last-score:: 5 + - **Elasticity** - if your application becomes very popular, you can procure new resources within minutes. + - Reduced capital expenditure. + - Economies of scale. +- What are the disadvantages of cloud computing? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:52:05.308Z + card-last-reviewed:: 2022-11-14T16:52:05.309Z + card-last-score:: 5 + - Security / privacy + - Cost + - Migration issues \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Coding Up Inheritance.md b/second/semester1/logseq-stuff/pages/Coding Up Inheritance.md new file mode 100644 index 00000000..0610bec7 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Coding Up Inheritance.md @@ -0,0 +1,90 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Introduction to Inheritance]] +- **Next Topic:** [[Abstraction & Polymorphism]] +- **Relevant Slides:** ![Lecture 11 and Lecture 12 ___2022.pdf](../assets/Lecture_11_and_Lecture_12_2022_1665648153439_0.pdf) +- +- # Key Ideas in a Class Hierarchy + - The top of the hierarchy represents the most generic attributes & behaviours. + - The bottom (the leaves) represent the most specific attributes & behaviours. + - Each level inherits & customises the attributes & behaviours from the level above it. + - What is **OOP Inheritance**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-22T18:35:20.846Z + card-last-reviewed:: 2022-11-18T18:35:20.847Z + card-last-score:: 5 + - **OOP Inheritance** is the means by which objects automatically receive features (fields) & behaviours (methods) from their super classes. +- # Java Class Hierarchy + - At the top of the Java Class Hierarchy is a class called `java.lang.Object`. + - All classes inherit *implicitly* from `java.lang.Object`. + - This means that a class doesn't have to specify explicitly that `java.lang.Object` is its superclass. + - ## Rules of Class Hierarchy + - In Java, the variable type can be the superclass of the object. + - The variable type can be **any superclass** of the object, not just `java.lang.Object`. +- +- # Explicit Inheritance + - All classes inherit methods *implicitly* from `java.lang.Object`. + - Two common methods that are inherited from `java.lang.Object`: + - `equals()` + - `toString()` + - In every other case, you have to tell Java which classes are in a superclass relationship. + - ## Steps + - 1. Create the classes + 2. Inert the inheritance relationships. + 3. Insert the fields. + 4. Insert the methods. + 5. Override the necessary fields. + 6. Override necessary methods. + 7. Test by putting objects in an array & calling their behaviours. + - ## Defining Inheritance #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-18T06:10:29.757Z + card-last-reviewed:: 2022-11-14T20:10:29.758Z + card-last-score:: 3 + - The keyword `extends` indicates the subclass to be extended (inherited from). + - You must call the constructor of the superclass using the method call `super()`. + - If the superclass constructor takes a parameter, then the call to `super()` must include a value of the parameter. + - For example: + - ```java + public class Bird extends Animal + { + boolean hasFeathers; // these fields aren't private. + boolean hasWings; // we want these fields to be inherited + boolean flies; // so we don't make the private. + + public Bird() + { + super(); // calls the constructor of its superclass - Animal + colour = "black"; + hsaFeathers = true; + hasWings = true; + flies = true; + } + } + ``` +- # `abstract` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:09:22.323Z + card-last-reviewed:: 2022-11-14T20:09:22.324Z + card-last-score:: 5 + - It may not make sense to have an object of a superclass type. + - For example, there is no object that is just an `Animal` or `Bird` and no more than that - all Animals are a specific subclass of `Animal`. + - ^^The Java keyword `abstract` allows you to specify which classes can be made into objects and which are used for inheritance purposes.^^ + - Adding the keyword `abstract` to the class definition tells Java that it can't make objects from this class. + - However, an abstract class can still be used as a type of reference variable. + - ```java + Bird bird = new Canary("John"); + Animal animal = new Canary("Mary"); + ``` + - For example: + - ```java + public abstract class Animal // doesn't allow objects of just type Animal + ``` + - ```java + public abstract class Bird extends Animal + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Colouring Graphs; Eulerian & Hamiltonian Graphs.md b/second/semester1/logseq-stuff/pages/Colouring Graphs; Eulerian & Hamiltonian Graphs.md new file mode 100644 index 00000000..025a5b08 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Colouring Graphs; Eulerian & Hamiltonian Graphs.md @@ -0,0 +1,156 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Convex Polyhedra]] +- **Next Topic:** [[Trees]] +- **Relevant Slides:** ![MA284-Week10.pdf](../assets/MA284-Week10_1667999565189_0.pdf) +- +- # Vertex Colouring + - There are maps that can be coloured with a single colour, two colours, three colours, or four colours. + - For all maps, no matter how complicated, at most four colours is sufficient. +- # Colouring Graphs + - If we think of a map as a way of showing which regions share borders, then we can represent it as a **graph**, where: + - A vertex in the graph corresponds to a region in the map. + - There is an edge between two vertices in the graph if the corresponding regions share a border. + - Colouring regions of a map corresponds to colouring vertices of the graph. Since neighbouring regions in the map must have different colours, so too must adjacent vertices. + - More precisely: + - **Vertex Colouring:** An assignment of colours to the vertices of a graph. + - **Proper Colouring:** If the vertex colouring has the property that adjacent vertices are coloured differently, then the colouring is called **proper**. + - **Minimal Colouring:** A proper colouring that is done with the fewest possible number of colours. + - Lots of different proper colourings are possible. If the graph has $v$ vertices, then clearly at most $v$ colours are needed. However, usually, we need far fewer. + - ## Chromatic Numbers + - What is the **chromatic number** of a graph? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T10:50:36.778Z + card-last-reviewed:: 2022-11-14T15:50:36.779Z + card-last-score:: 5 + - The **chromatic number** of the graph, written $\chi(G)$ is the smallest number of colours needed to get a proper vertex colouring of a graph $G$. + - ### Example + - Determine the **chromatic number** of the graphs $C_2$, $C_3$, $C_4$, & $C_5$. + background-color:: green + - $$\chi(C_2) = 2$$ + - $$\chi(C_3) = 3$$ + - $$\chi(C_4) = 2$$ + - $$\chi(C_3) = 5$$ + - Determine the **chromatic number** of the $K_n$ & $K_{p,q}$ for any $n$, $p$, $q$. + background-color:: green + - $$\chi(K_4) = 4$$ + - $$\chi(K_n) = n$$ + - $$\chi(K_{3,3}) = 2$$ + - $$\chi(K_{p,q}) = 2$$ + - In general, calculating $\chi(G)$ is not easy, but there are some ideas that can help. For example, it is clearly true that if a graph has $v$ vertices, then + - $$1 \leq \chi(G) \leq v$$ + - ### Cliques + - If the graph happens to be **complete**, then $\chi(G) = v$. If it is **not** complete, then we can look at ***cliques*** in the graph. + - What is a **clique** of a graph? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:14:53.505Z + card-last-score:: 1 + - A **clique** is a subgraph of a graph, all of whose vertices are connected to each other. + - (Clique numbers will not be on the exam). + - What is the **clique number** of a graph? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-23T00:00:00.000Z + card-last-reviewed:: 2022-11-22T13:37:29.890Z + card-last-score:: 1 + - The **clique number** of a graph, $G$, is the number of vertices in the largest clique in $G$. + - **Lower Bound:** The chromatic number of a graph is *at least* its clique number. + - **Upper Bound:** $\chi(G) \leq \Delta(G) + 1$, where $\Delta(G)$ denotes the largest degree of any vertex in the graph $G$. +- # Algorithms for $\chi(G)$ + - In general, finding a proper colouring for a graph is hard. There are some algorithms that are efficient, but not optimal. We'll look at two: + - The **Greedy Algorithm**. + - The **Welsh-Powell Algorithm**. + - The **Greedy Algorithm** is simple & efficient, but the result can depend on the ordering of the vertices. + - The **Welsh-Powell Algorithm** is slightly more complicated, but can give better colourings. + - ## Greedy Algorithm #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:22:55.701Z + card-last-score:: 1 + - 1. Number all the vertices. Number your colours. + 2. Give a colour to vertex 1. + 3. Take the remaining vertices in order. Assign each one the lowest numbered colours that is different from the colours of its neighbours. + - ## Welsh-Powell Algorithm #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:51:29.529Z + card-last-score:: 1 + - 1. List all vertices in decreasing order of their degree (i.e., largest degree first). If two or more share the same degree, list them in any way you want. + 2. Colour the first listed vertex (with the first unused colour). + 3. Work down the list, giving that colour to all vertices **not** conencted to one previously coloured. + 4. Cross (verb.) coloured vertices of the list, and return to the start of the list. +- # Eulerian Paths & Circuits + - Recall that a **path** is a sequence of adjacent vertices in a graph. + - What is a **Eulerian Path**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:18:26.028Z + card-last-score:: 1 + - A **Eulerian Path** (also called an *Euler Path* and an *Eulerian trail*) in a graph is path which uses every edge exactly once. + - ![image.png](../assets/image_1668164848583_0.png) + - Recall that a **circuit** is a path that begins & ends at that same vertex, and no edge is repeated. + - What is an **Eulerian Circuit**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:21:29.522Z + card-last-score:: 1 + - An **Eulerian Circuit** (also called an *Eulerian Cycle*) is an *Eulerian path* that that starts & finishes on at the same vertex. + - If a graph has such a circuit, we say that it is *Eulerian*. + - It is possible to come up with a condition that guarantees that a graph has an Eulerian Path, and, additionally, one that ensures that ensures that it has an Eulerian Circuit. + - To begin with, we'll reason that the following graph could *not* have an Eulerian circuit, although it *does* have an Eulerian path. + - ![image.png](../assets/image_1668165195209_0.png) + - Suppose, first, that we have a graph that ==**does** have an Eulerian circuit.== Then, for every edge in the circuit that "exits" a vertex, there is another that "enters" that vertex. So, every vertex must have even degree. + - A graph has an **Eulerian Circuit** if and only if every vertex has even degree. + - Next, suppose that a graph==does **not** have an Eulerian circuit==, but does have an **Eulerian path**. Then, the degree at the "start" & "end" verticwes must be odd, and every other vertex has even degree. + - A graph has an **Eulerian Path** if and only if it has either **zero** or **two** vertices with odd degree. +- # Hamiltonian Paths & Cycles + - What is a **Hamiltonian Path**? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-24T08:06:13.770Z + card-last-reviewed:: 2022-11-21T13:06:13.770Z + card-last-score:: 5 + - A **Hamiltonian Path** is a graph that visits every vertex exactly once. + - What is a **Hamiltonian Cycle**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:23:21.600Z + card-last-score:: 1 + - A **Hamiltonian Cycle** is a cycle which visits the start / end vertex twice, and every other vertex exactly once. + - A graph that has a Hamiltonian Cycle is called a **Hamiltonian Graph**. + - Important examples of Hamiltonian Graphs include cycle graphs, complete graphs, & graphs of the platonic solids. + - In general, the problem of finding a Hamiltonian path or cycle in a large graph is hard - it is known to be NP-complete. However, there are two relatively simple *sufficient conditions* to testing if a graph is Hamiltonian: + - ## Ore's Theorem #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:50:30.834Z + card-last-score:: 1 + - A graph with $v$ vertices, where $v \geq 3$, is **Hamiltonian** if, for every pair of non-adjacent vertices, the sum of their degrees is $\geq v$. + - ## Dirac's Theorem #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:15:37.739Z + card-last-score:: 1 + - A simple graph with $v$ vertices, where $v \geq 3$, is **Hamiltonian** if every vertex has degree $\geq v / 2$. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Combinatorial Proofs.md b/second/semester1/logseq-stuff/pages/Combinatorial Proofs.md new file mode 100644 index 00000000..0bd435b3 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Combinatorial Proofs.md @@ -0,0 +1,87 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Binomial Coefficients]] +- **Next Topic:** [[Stars & Bars]] +- **Relevant Slides:** ![MA284-Week04.pdf](../assets/MA284-Week04_1664365603740_0.pdf) +- +- # Pascal's Triangle + - **Pascal's Identity:** A recurrence relation for $\binom{n}{k}$: + - $$\binom{n}{k} = \binom{n-1}{k-1} + \binom{n-1}{k}$$ + - In the previous topic, we "proved" that $\binom{n}{k} = \frac{n!}{(n-k)!k!}$ by counting $P(n,k)$ in two different ways. + - This is a classic example of a **Combinatorial Proof**, where we establish a formula by counting something in 2 different ways. + - ![image.png](../assets/image_1664366784504_0.png) + - Binomial coefficients have many important properties. Looking at their arrangement in Pascal's Triangle, we can spot some: + - (i) For all $n$, $\binom{n}{0} = \binom{n}{n} = 1$. + - (ii) $\displaystyle\sum^{n}_{i=0} \binom{n}{i}= 2^n$ + - (iii) $\binom{n}{k} = \binom{n-1}{k-1} + \binom{n-1}{k}$ (Pascal's Identity). + - (iv) $\binom{n}{k} = \binom{n}{n-k}$ + - +- # Algebraic & Combinatorial Proofs + - Proofs of identities involving **Binomial Coefficients** can be classified as: + - **Algebraic:** If they rely mainly on the formula for binomial coefficients. + - $$ + \binom{n}{k} = \frac{n!}{k!(n-k)!} + \newline + \therefore \binom{n}{k} = \frac{n!}{(n-k)!(n-(n-k))!} = \frac{n!}{(n-k)!k!} = \binom{n}{k} + $$ + - **Combinatorial:** If they involve counting a set in two different ways. + - Let $A$ be a set of size $n$. + - $\binom{n}{k} =$ number of subsets of $A$ of cardinality $k$, but for each such subset there is a one-to-one correspondence with a subset of size $n-k$. + - i.e., $\binom{n}{n-k} = \binom{n}{k}$, + - ## Algebraic Proof of Pascal's Triangle Recurrence Relation + - $$\binom{n}{k} = \frac{n!}{k!(n-k)!} \newline \newline$$ + - $$\binom{n-1}{k-1} + \binom{n-1}{k} = \frac{(n-1)!}{(k-1)!(n-k)!} + \frac{(n-1)!}{k!(n-k-1)!}$$ + - $$ = \frac{k(n-1)!}{k(k-1)!(n-k)!} + \frac{(n-1)!(n-k)}{k!(n-k-1)!(n-k)} $$ + - $$= \frac{k(n-1)!+(n-k)(n-1)!}{k!(n-k)!}$$ + - $$= \frac{(n-1)!(k+n-k)}{k!(n-k)!} = \frac{n!}{k!(n-k)!} = \binom{n}{k}$$ +- +- +- ## Example: + - Let $A$ be a set with $n$ elements. + - Then, the total number of subsets of $A$ can be counted as follows: + - Generic subset: An element is either in it or not + - For each of $n$ elements, there are 2 choices: in or not in. + - By Multiplicative principle, 2 \times 2 \times ... \times 2 such subsets [2^n = |P(n)|]. + - Number of subsets with: + - 0 +- +- +- +- # How Combinatorial Proofs Work + - ## Which are better: Algebraic or Combinatorial proofs? + - When we first study discrete mathematics, **algebraic** proofs may seem to be the easiest: they rely only using some standard formulae, and don't require any deeper insight. They are also more "familiar". + - However: + - Often, algebraic proofs are quite tricky. + - Usually, algebraic proofs give no insight as to why a fact is true. + - ## Example + - We wish to show that: + - $${\binom{n}{0}}^2 + {\binom{n}{1}}^2 + {\binom{n}{2}}^2 + ... + {\binom{n}{n}}^2 = \binom{2n}{n}$$ + - We note that $\binom{2n}{n}$ is the total number of subsets of size $n$ in a set with $2n$ elements. + - Let $A$ be a set with $2n$ elements, and label them $A = \{a_1, a_2, ..., a_n, a_{n+1}, ..., a_{2n}\}$. + - Any subset of $A$ with $n$ elements has $k$ elements from $\{a_1 a_2, ..., a_n\}$ and $n-k$ elements from t $\{a_{n+1}, ..., a_{2n}\}$ where $k$ ranges from $0$ to $n$. + - There are $\displaystyle \binom{n}{k} \cdot \binom{n}{n-k}$ ways of choosing these $n$ elements by the Multiplicative Principle. + - So the total number of subsets with $n$ elements is $\displaystyle\sum^n_{k=0} \binom{n}{k} \binom{n}{n-k}$ and noting that $\displaystyle \binom{n}{n-k} = \binom{n}{k}$ and the results follows. + - ## Example + - Using a combinatorial argument, or otherwise, prove that + - $$k\binom{n}{k} = n\binom{n-1}{k-1}$$ + - **Combinatorial Proof**: + - Suppose we have a panel of $n$ players and we need to choose a team of $k$ player with a distinguished player (e.g., the goalkeeper). + - We count how many ways we can do this. + - [A] Pick the team, then pick the goalie. + - By the Multiplicative Principle, we can pick a team of $k$ from $n$ in $\binom{n}{k}$ ways and have $k$ ways then of choosing a keeper from this. + - $$= k\binom{n}{k}$$ + - [B] Pick the goalie, then pick the remainder of the team. + - We have $n$ choices for the goalie. then choose $k-1$ from the $n-1$ remaining players. + - By the Multiplicative Principle we have $\displaystyle n\binom{n-1}{k-1}$ ways. + - Result follows. + - ## What is a "Combinatorial Proof" really? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-23T22:36:16.354Z + card-last-reviewed:: 2022-11-14T16:36:16.354Z + card-last-score:: 5 + - [1] These proofs involve finding two different ways to answer the same counting question. + - [2] Then, we explain why the answer to the problem posed one way is $A$. + - [3] Next, we explain why the answer to the problem posed the other way is $B$. + - [4] Since $A$ and $B$ are answers to the same question, we have shown that it must be that $A = B$. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Convex Polyhedra.md b/second/semester1/logseq-stuff/pages/Convex Polyhedra.md new file mode 100644 index 00000000..10f61c19 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Convex Polyhedra.md @@ -0,0 +1,155 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Definitions & Planar Graphs]] +- **Next Topic:** [[Colouring Graphs; Eulerian & Hamiltonian Graphs]] +- **Relevant Slides:** ![MA284-Week09.pdf](../assets/MA284-Week09_1667912503367_0.pdf) +- +- # Non-Planar Graphs + - Most graphs do not have a planar representation, however, it takes some work to *prove* that a graph is non-planar. + - To do this, we can use **Euler's formula for planar graphs** to *prove* that they are not planar. + - ## Theorem: $K_{5}$ is not planar (Theorem 4.3.1 in Textbook) + - The proof is by **contradiction**. + - So assume that $K_5$ is **planar**. Then, the graph must satisfy Euler's formula for planar graphs. + - $K_5$ has 5 vertices & 10 edges, so we get $5-10 + f =2$, which says that if the graph is drawn without any edges crossing, there would be $f = 7$ faces. + - Now consider how many edges surround each face. Each face must be surrounded by *at least* 3 edges. + - Let $B$ be the total number of *boundaries* around all the faces in the graph. + - Thus, we have that $3f \leq B$, but also $B = 2e$, as each edge is used as a boundary exactly twice. + - Putting this together, we get $3f \leq B$, but this is impossible, since we have already determined that $f = 7$ and $e = 10$, and $21 \nleq 20$. + - This is a contradiction, so $K_5$ is **not planar**. + - Q.E.D. + - ## Theorem: $K_{3,3}$ is not planar (Theorem 4.2.2 in Textbook) + - Please read the proof in the textbook (or edit this later). + - The proof for $K_{3,3}$ is somewhat similar to $K_5$, but it also uses the fact that a bipartite graph has no 3-edge cycles. + - To understand the importance of $K_5$ & $K_{3,3}$, we first need that the concept of **homeomorphic** graphs. + - Recall that a graph $G_1$ is a **subgraph** of $G$ if it can be obtained by deleting some vertices and / or edges of $G$. + - ## Homeomorphic Graphs + - What is a **subdivision** of an **edge**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:15:33.031Z + card-last-score:: 1 + - A **subdivision** of an **edge** is obtained by "adding" a new vertex of degree 2 to the middle of the edge. + - What is a **subdivision** of a **graph**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:52:43.154Z + card-last-score:: 1 + - A **subdivision** of a **graph** is obtained by subdividing one or more of its edges. + - What is the **smoothing** of a pair of edges? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:52:16.893Z + card-last-score:: 1 + - The **smoothing** of the pair of edges $\{a,b\}$ & $\{b,c\}$, where $b$ is a vertex of degree 2, means to remove these two edges, and add $\{a,c\}$. + - What does it mean if two graphs are **homeomorphic**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:25:55.182Z + card-last-score:: 1 + - Two graphs $G_1$, $G_2$ are **homeomorphic** if there is some subdivision of $G_1$ that is isomorphic to some subdivision of $G_2$. + - ### Kuratowski's Theorem #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:26:18.688Z + card-last-score:: 1 + - What is **Kuratowski's Theorem**? #card + card-last-interval:: 3.69 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-22T10:36:43.656Z + card-last-reviewed:: 2022-11-18T18:36:43.657Z + card-last-score:: 5 + - A graph is planar if and only if it does not contain a subgraph that is **homeomorphic** to $K_5$ or $K_{3,3}$. + - What this really means is that **every** non-planar graph has some smoothing that contains a copy of $K_5$ or $K_{3,3}$ somewhere inside it. + - +- # Polyhedra + - What is a **polyhedron**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:25:09.000Z + card-last-score:: 1 + - A **polyhedron** is a geometric solid made up of flat polygonal faces joined at edges & vertices. + - What is a **convex polyhedron**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:22:24.900Z + card-last-score:: 1 + - A **convex polyhedron** is one where any line segment connecting two points on the interior of the polyhedron must be entirely contained inside the polyhedron. + - A remarkable, and important fact, is that *every* convex polyhedron can be porjected onto the plane without edges crossing. + - ![image.png](../assets/image_1667928018973_0.png) + - ![image.png](../assets/image_1667928043357_0.png) + - Now that we know that every convex polyhedron can be represented as a planar graph, we can apply Euler's formula. + - ## Euler's Formula for Polyhedra #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:17:27.666Z + card-last-score:: 1 + - If a convex polyhedron has $v$ vertices, $e$ edges, & $f$ faces, then + - $$v - e+ f =2$$ + - ![image.png](../assets/image_1667928165364_0.png) + - ## The Handshaking Lemma #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:22:43.283Z + card-last-score:: 1 + - The sum of the vertex degrees is $2|E|$: + - Let $G = (V,E)$ be a graph, with vertices $V = v_1, v_2, \cdots, v_n$. + - Let $\text{deg}(v_i)$ be the "degree of $v+i$". Then + - $$\text{deg}(v_1) + \text{deg}(v_2) + \cdots + \text{deg}(v_n) = 2|E|$$ + - + - ## Example + - Show that there is no convex polyhedron with 11 vertices, all of degree 3. + background-color:: green + - If such a convex polyhedron existed, we could draw its graph. + - Each vertex has degree 3, so + - $$2|E| = \sum d(v_i) = 3 \times 11$$ + - $$\therefore |E| = \frac{33}{2} \text{, which is impossible}$$ +- # The Platonic Solids + - What is a **Regular Polyhedron**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:25:24.689Z + card-last-score:: 1 + - A polyhedron is called **regular** if: + - All its faces are identical, regular polygons. + - All its vertices have the same degree. + - What are the **Platonic Solids**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:16:02.569Z + card-last-score:: 1 + - The convex regular polyhedra are also called the **Platonic Solids**. + - There are exactly 5 regular polyhedra. This fact can be proven using Euler's formula. + - For full details, see the proof in the textbook. + - Here is the basic idea: + - Consider a regular polyhedron with $f$ **triangular** faces. + - So $2e - 3f$. + - Suppose that every vertex has degree $k$. + - So $2e - vk$. Also, $v - e +f =2$. So + - $$e = \frac{3f}{2}, v = \frac{3f}{k}, \Rightarrow \frac{3f}{k} - \frac{3f}{2} + f =2$$ + - and thus + - $$f = \frac{4k}{6-k}$$ + - $f$ is defined for any $k < 6$, but undefined for $k = 6$ , and if $k > 6$ then $f < 0$ - no solutions. +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Correlation & Linear Regression.md b/second/semester1/logseq-stuff/pages/Correlation & Linear Regression.md new file mode 100644 index 00000000..62563ad4 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Correlation & Linear Regression.md @@ -0,0 +1,99 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Hypothesis Testing]] +- **Next Topic:** No next topic. +- **Relevant Slides:** ![Lecture 11- Correlation and Regression(1).pdf](../assets/Lecture_11-_Correlation_and_Regression(1)_1668682885675_0.pdf) +- +- # Modelling Relationships + - In may applications, we want to know if there is a **relationship** between variables. + - What is **Regression**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T19:35:13.517Z + card-last-score:: 1 + - **Regression** is a set of statistical methods for estimating the relationship between a **response variable** & **one or more explanatory variables**. + - Regression may have the aim of **explanation** (describing & quantifying relationships between variables) or **prediction** (how well can we predict a response variable from explanatory variables). +- # Correlation Coefficients + - What is the **Sample Correlation Coefficient**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T19:35:19.270Z + card-last-score:: 1 + - The **Sample Correlation Coefficient** $r$ gives a numerical measurement of the strength of the linear relationship between the explanatory & response variables. + - $$r = \frac{\sum (x_i = \bar x)(y_i - \bar y)}{\sqrt{\sum (x_i - \bar x)^2 \sum (y_i - \bar y)^2}}$$ + - **Note:** $\rho$ is the **population** correlation coefficient, while $r$ is the **sample** correlation coefficient. + - $\rho = +1$ means a **perfect, linear direct** relationship between $X$ & $Y$. + - $\rho = 0$ means **no linear** relationship between $X$ & $Y$. + - $\rho = -1$ means a **perfect, inverse linear relationship** between $X$ & $Y$. + - ![image.png](../assets/image_1668683655403_0.png) + - ![image.png](../assets/image_1668683691530_0.png){:height 305, :width 645} + - ![image.png](../assets/image_1668683714985_0.png){:height 524, :width 645} + - Correlation treats $x$ & $y$ symmetrically - the correlation of $x$ with $y$ is the same as the correlation of $y$ with $x$. + - Correlation has no units. + - Correlation is not affected by changes in the centre or scale of either variable. + - The correlation coefficient only measures linear association. + - The correlation coefficient can be misleading when outliers are present. + - ## Correlation $\neq$ Causation + - Correlation does not imply causation. + - Scatterplots & correlation coefficients **never** prove causation. + - A hidden variable that stands behind a relationship & determines it by simultaneously affecting the other two variables is called a **lurking** or **confounding** variable. + - Don't say "correlation" when you mean "association". + - More often than not, people say "correlation" when they mean "association". + - The word "correlation" should be reserved for measuring the strength & direction of the linear relationships between two quantitative variables. + - ## Summary + - Scatterplots are useful graphical tools for asserting *direction*, *form*, *strength*, & *unusual features* between two variables. + - Although not every relationship is linear, when the scatterplot is straight enough, the *correlation coefficient* is a useful numerical summary. + - The sign of the correlation tells us the direction of the association. + - The magnitude of the correlation tells us the *strength* of a linear association. + - Correlation has no units, so shifting or scaling the data, standardising, or swapping the variables has no effect on the numerical value. +- # Simple Linear Regression + - What is **Simple Linear Regression**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T19:34:38.355Z + card-last-score:: 1 + - **Simple Linear Regression** is the name given to the statistical technique that is used to model the dependency of a response variable on a **single** explanatory variable. + - The word "simple" refers to the fact that a single explanatory variable is available. + - Simple Linear Regression is appropriate if the **average** value of the response variable is a **linear** function of the explanatory, i..e, the underlying dependency of the response on the explanatory appears linear. + - ## Strategy + - 1. Propose a model + 2. Check the assumptions. + 3. Make some predictions. + - The predicted value is often referred to as $\hat y$. + - 4. Assess how useful it is. + 5. Improve it. + - ## Interpreting the Slope & Intercept #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T19:34:57.106Z + card-last-score:: 1 + - $b_1$ is the **slope**, which tells us how rapidly $\hat y$ changes with respect to $x$. + - e.g., what is the change in the mean current per unit increase in wind speed. + - $b_0$ is the **y-intercept**, which tells us where the line intercepts the $y$-axis when $x$ is 0. + - e.g., what is the mean current when the wind speed is 0. + - ### The Residual Standard Deviation ($s_e$) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T19:35:04.870Z + card-last-score:: 1 + - The standard deviation of the residuals $s_e$ (also known as the residual standard error) measures how much the points spread around the regression line. + - You can interpret $s_e$ in the context of the data set -it is the typical error in the predictions made by the regression line. + - The **line of best fit** is the line for which the sum of the squared **residuals** is the *smallest*, the **least squares** line. + - Some residuals are positive, others are negative, and on average, they cancel each other out. + - You can't assess how well the line fits by adding up all the residuals. + - ![image.png](../assets/image_1668684641221_0.png)() + - ## Simple Linear Regression Model + - $$Y_i = \beta_0 + \beta_1 x_i + \epsilon_i \text{ for } i =1, \cdots, n \text{ assuming } \epsilon_i \sim N(0, \sigma_e)$$ + - ### Features of this Model + - $\beta_o£ (intercept) and $\beta_1$ (slope) are the population parameters of the model & must be estimated from the data as $b_0$ (**sample intercept**) and $b_1$ (**sample slope**). +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Counting.md b/second/semester1/logseq-stuff/pages/Counting.md new file mode 100644 index 00000000..d81e9386 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Counting.md @@ -0,0 +1,49 @@ +- #[[MA284 - Discrete Mathematics]] +- No previous topic +- **Next topic:** [[Principle of Inclusion-Exclusion]] +- **Relevant Slides:** ![Week01.pdf](../assets/Week01_1662844828934_0.pdf) +- +- What is **Combinatorics**? #card + card-last-interval:: 97.56 + card-repeats:: 5 + card-ease-factor:: 2.9 + card-next-schedule:: 2023-02-20T09:22:03.466Z + card-last-reviewed:: 2022-11-14T20:22:03.466Z + card-last-score:: 5 + - **Combinatorics** is the mathematics of *counting*. +- +- ## The Additive & Multiplicative Principles + - ### The Additive Principle + - What is the **Additive Principle**? #card + card-last-interval:: 75.28 + card-repeats:: 5 + card-ease-factor:: 2.66 + card-next-schedule:: 2023-01-29T02:20:51.719Z + card-last-reviewed:: 2022-11-14T20:20:51.720Z + card-last-score:: 5 + - If an event $A$ can occur $m$ ways, and event $B$ can occur $n$ (disjoint) ways, then event "$A$ **or** $B$" can occur $m + n$ ways. + - ### The Multiplicative Principle + id:: 6336be87-7dea-4ba3-b7d0-c77a73bae948 + - What is the **Multiplicative Principle**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:42:09.219Z + card-last-score:: 1 + id:: 6336be87-053a-4ea8-b9cd-9e16b2e801de + - If event $A$ can occur $m$ ways, and each possibility allows for event $B$ to occur in $n$ (disjoint) ways, then the event "$A$ **and** $B$" can occur in $m \times n$ ways. + id:: 6336be87-2faa-457f-b34f-e11f741673c7 +- +- ## Counting with Sets + - What is a **set**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:06:53.689Z + card-last-reviewed:: 2022-11-14T20:06:53.690Z + card-last-score:: 5 + - A **set** is a collection of things. + - The items in a set are called *elements*. + - A set is **unordered** and does not contain duplicates. i.e.: + - $$\{a,b,c\} = \{b,a,c\} = \{a,a, c,b,b,b\}$$ \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/DIffie-Hellman Key Exchange.md b/second/semester1/logseq-stuff/pages/DIffie-Hellman Key Exchange.md new file mode 100644 index 00000000..a2cc9979 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/DIffie-Hellman Key Exchange.md @@ -0,0 +1,67 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[Social Engineering]] +- **Next Topic:** [[Block Ciphers & Stream Ciphers]] +- **Relevant Slides:** ![ct255_07.pdf](../assets/ct255_07_1667826292487_0.pdf) +- +- # Groups, Rings, & Fields + - In mathematics, + - a **group** is a set equipped with a binary operation that is associative, has an identity element, and is such that every element has an inverse, e.g., $(\mathbb{Z}, +)$. + - a **ring** is a set equipped with two binary operations satisfying properties analogous to those of addition & multiplication of integers, e.g. $(\mathbb{Z}, +, *)$. + - a **field** is a set on which addition, subtraction, multiplication, & division are defined and behave as the corresponding operations on rational & real numbers do. +- +- # Diffie-Hellman Key Exchange + - What is the **Diffie-Hellman Key Exchange**? #card + card-last-interval:: 3.69 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-22T10:36:42.441Z + card-last-reviewed:: 2022-11-18T18:36:42.441Z + card-last-score:: 5 + - **Diffie-Hellman** provides **secure key exchange** between two partners. + - The negotiated key is subsequently used for private key encryption / authentication. + - It uses the multiplicative group of integers modulo $n$ $(\mathbb{Z} / n \mathbb{Z})^x$. + - It is based on the difficulty of computing discrete logarithms over such groups, e.g.: + - $$6^3 \text{ mod } 17 = 216 \text{ mod } 17 =12 \text{ (easy) }$$ + - $$12 = 6 ^y \text{ mod } 17 ? \text{ hard }$$ + - The core equation for the key exchange is + - $$K = (A)^B \text{ mod } q$$ + - ## Diffie-Hellman: Global Public Elements + - Select a prime number $q$ and positive and a positive integer $a$, where $a < q$ and $a$ is a **primitive root** of $q$. + - What is a **primitive root**? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-24T08:08:29.696Z + card-last-reviewed:: 2022-11-21T13:08:29.697Z + card-last-score:: 5 + - $a$ is a **primitive root** of $q$, if numbers $a \text{ mod } q, a^2 \text{ mod } q, \cdots , a^{q-1} \text{ mod } q$ are distinct integer values between $1$ and $(q-1)$ in some permutation, i.e., elements of $(\mathbb{Z} / q \mathbb{Z})^x$. + - **Example:** $a = 3$ is a primitive root of $(\mathbb{Z} / 5\mathbb{Z})^x$, $a=4$ is not: + background-color:: green + - ## Generation of Secret-Key + - Both users share a public prime number $q$ and primitive root $a$. + - User A: + - 1. Select secret number $XA$ with $XA < q$. + 2. Calculate public value $YA = a^{XA} \text{ mod } q$ (difficult to reverse). + 3. $YA$ is sent to User B. + - User B: + - 1. Select secret number $XB$ with $XB < q$. + 2. Calculate public value $YB = a^{XB} \text{ mod } q$ (difficult to reverse). + 3. $YB$ is sent to User A. + - User A: + - User A owns $XA$ and receives $YB$. + - Generate secret key: $K = (YB)^{XA} \text{ mod } q$. + - User B: + - User B owns $XB$ and receives $YA$. + - Generate secret key: $K = (YA)^{XB} \text{ mod } q$. + - Both keys are identical. + - ## Diffie-Hellman in Practice + - The algorithm is used in tandem with a variety of secure network protocols. + - Provision of secure end-to-end connection. + - No endpoint authentication - you can't validate who you are talking to. + - Modulus $p$ typically has a minimum length of 1024 bits. + - ## DH & Man-in-the-Middle (MitM) Attacks + - ![image.png](../assets/image_1667828493859_0.png) + - Mallory is a MitM attacker and performs message interception & message fabrication. + - Mallory establishes two individual (secure) connections with Alice & Bob. + - Neither Alice nor Bob are aware of Mallory's existence (as there is no authentication). + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Database System Introduction.md b/second/semester1/logseq-stuff/pages/Database System Introduction.md new file mode 100644 index 00000000..51e71aec --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Database System Introduction.md @@ -0,0 +1,108 @@ +- #[[CT230 - Database Systems I]] +- No previous topic +- **Next Topic:** [[The Relational Model]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662845512365_0.pdf) +- +- What is a **database**? #card + card-last-interval:: 64.01 + card-repeats:: 5 + card-ease-factor:: 2.52 + card-next-schedule:: 2023-01-24T13:09:54.692Z + card-last-reviewed:: 2022-11-21T13:09:54.692Z + card-last-score:: 5 + - A **database** is ^^a collection of related data.^^ +- +- What is the **Database Approach**? #card + card-last-interval:: 7.76 + card-repeats:: 3 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-22T10:36:04.634Z + card-last-reviewed:: 2022-11-14T16:36:04.634Z + card-last-score:: 3 + - A **single repository** of data (which may be distributed) is maintained that is **defined once** and then accessed by various users via a **DBMS**. +- ## Database Management Systems + - What is a **DBMS**? #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T16:40:07.862Z + card-last-reviewed:: 2022-11-14T16:40:07.862Z + card-last-score:: 5 + - The **DataBase Management System (DBMS)** is a collection of programs that facilitates the process of ^^defining, constructing, & manipulating^^ databases for various applications. + - ### DBMS Capabilities #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T16:44:40.304Z + card-last-reviewed:: 2022-11-14T16:44:40.304Z + card-last-score:: 3 + - 1. **Define** database (DDL) + 2. **Manipulate** database (SQL) + 3. **Control** redundancy + 4. **Restrict** unauthorised access + 5. **Enforce** integrity constraints + 6. Provide multiple user interfaces / **views** + 7. Provide **concurrent access** + 8. Provide mechanism for **recovery** + 9. Provide **back-up** + 10. Allows representation of complex relationships between data (For efficiency & optimisation reasons) + - + - ### Disadvantages of DBMS approach #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T02:39:24.701Z + card-last-reviewed:: 2022-11-14T16:39:24.701Z + card-last-score:: 3 + - Strict schema & multiple tables / relations + - Complexity + - Size + - Cost of DBMS + - Additional hardware costs + - Cost of conversion + - Performance + - Higher impact of failure + - ### DBMS Users #card + card-last-interval:: 7.76 + card-repeats:: 3 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-22T10:36:32.717Z + card-last-reviewed:: 2022-11-14T16:36:32.718Z + card-last-score:: 3 + - **Administrators (DBA)** - accounts, passwords, privileges. Requiring constant vigilance + - **System Analysts** - "What's required to solve a problem? What does the business need?" + - **Designers** - ER diagrams, mapping ER diagrams to tables + - **Application Programmers** - creating tables, adding data, creating queries + - **End users** +- +- What is **Database Abstraction**? #card + card-last-interval:: 33.96 + card-repeats:: 5 + card-ease-factor:: 2.04 + card-next-schedule:: 2022-12-18T19:23:19.167Z + card-last-reviewed:: 2022-11-14T20:23:19.167Z + card-last-score:: 3 + - **Database Abstraction** refers to the hiding of the details of data storage that are not needed by most database users. + - The aim is to separate user's views of the database from the way that it is "physically" represented. + - 3 ways in which data can be described: + - **External:** user's view + - **Conceptual:** logical structure as seen by DBA + - **Internal:** DBMS and OS view of data +- What is the database **schema**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.52 + card-next-schedule:: 2022-11-18T20:24:46.045Z + card-last-reviewed:: 2022-11-14T20:24:46.046Z + card-last-score:: 5 + - The database **schema** is the ^^logical structure of the database.^^ +- What is the database **instance**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:00:02.004Z + card-last-reviewed:: 2022-11-14T20:00:02.004Z + card-last-score:: 5 + - The database **instance** is ^^the actual content of the database at some point in time.^^ +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Definitions & Planar Graphs.md b/second/semester1/logseq-stuff/pages/Definitions & Planar Graphs.md new file mode 100644 index 00000000..78c73da0 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Definitions & Planar Graphs.md @@ -0,0 +1,200 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Introduction to Graph Theory]] +- **Next Topic:** [[Convex Polyhedra]] +- **Relevant Slides:** ![MA284-Week08.pdf](../assets/MA284-Week08_1666785726176_0.pdf) +- +- # Definitions + - What is a **walk**? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-26T07:16:18.888Z + card-last-reviewed:: 2022-11-23T12:16:18.890Z + card-last-score:: 5 + - A **walk** is a sequence of vertices such that consecutive vertices are adjacent. + - What is a **trail**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:14:59.935Z + card-last-score:: 1 + - A **trail** is a walk in which no edge is repeated. + - What is a **path**? #card + card-last-interval:: 0.9 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T17:22:40.523Z + card-last-reviewed:: 2022-11-14T20:22:40.524Z + card-last-score:: 3 + - A **path** is a trail in which no vertex is repeated, except possibly the first & last. + - The path on $n$ vertices is denoted $P_n$. + - ## Example + - + {{renderer :mermaid_uiukfrr}} + - ```mermaid + flowchart LR + B((B)) --- A((A)) + B --- C((C)) + C --- E((E)) + E --- D((D)) + B --- E --- A + + ``` + - $(a,b,c,e,d)$ is a **walk**. + - So too is $(a,b,e,a,b,c)$ (not a trail or a path). + - + - What is the **length** of a path? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:22:48.413Z + card-last-score:: 1 + - The **length** of a path is the number of edges in the sequence. + - ## Cycles & Circuits + - What is a **cycle**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:50:16.908Z + card-last-score:: 1 + - A **cycle** is a path that begins & ends at the same vertex, but no other vertex is repeated. + - A cycle on $n$ vertices is denoted $C_n$. + - What is a **circuit**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:05:28.290Z + card-last-score:: 1 + - A **circuit** is a path that begins & ends at the same vertex, and no edge is repeated. + - What does it mean if a graph is **connected**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T11:16:09.571Z + card-last-reviewed:: 2022-11-14T16:16:09.572Z + card-last-score:: 5 + - A graph is **connected** if there is a path between every pair of vertices. + - What is the **degree** of a vertex? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-25T13:10:12.122Z + card-last-reviewed:: 2022-11-21T13:10:12.123Z + card-last-score:: 5 + - The **degree** of a vertex is the number of edges emanating from it. + - If $v$ is a vertex, we denote its degree as $d(v)$. + - ## Handshaking Lemma + - If we know the degree of every vertex in the graph, then we know the number of edges. This is the **Handshaking Lemma**. + - What is the **Handshaking Lemma**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:54:11.744Z + card-last-score:: 1 + - In any graph, the sum of the degrees of vertices in the graph, is always twice the number of edges. + - $$\sum_{v \in V} d(v) = 2|E|$$ +- # Types of Graphs + - What is a **Complete** Graph? #card + card-last-interval:: 0.9 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T17:23:00.989Z + card-last-reviewed:: 2022-11-14T20:23:00.990Z + card-last-score:: 3 + - A graph is **complete** if every pair of vertices is adjacent. + - This family of graphs is very important. + - Complete graphs are denoted $K_n$ - the complete graph on $n$ vertices. + - What is a **Bipartite Graph**? #card + card-last-interval:: 8.35 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-29T21:09:36.899Z + card-last-reviewed:: 2022-11-21T13:09:36.899Z + card-last-score:: 5 + - A graph is **bipartite** if it is possible to partition the vertex set, $V$, into two disjoint sets, $V_1$ & $V_2$, such that there are no edges between any two vertices in the same set. + - What is a **Complete Bipartite** graph? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:51:45.394Z + card-last-score:: 1 + - If a bipartite graph is such that *every* vertex in $V_1$ is connected to *every* vertex in $V_2$ (and vice versa), the graph is a **complete bipartite graph**. + - If $|V_1| = m$ and $|V_2| = n$, we denote it $K_{m,n}$. + - What is a **subgraph**? #card + card-last-interval:: 3.05 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T21:23:07.436Z + card-last-reviewed:: 2022-11-14T20:23:07.436Z + card-last-score:: 5 + - We say that $G_1 = (V_1, E_1)$ is a **subgraph** of $G_2 = (V_2, E_2)$ provided $V_1 \subset V_2$ and $E_1 \subset E_2$. + - What is an **induced subgraph**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-23T00:00:00.000Z + card-last-reviewed:: 2022-11-22T13:38:04.242Z + card-last-score:: 1 + - We say that $G_1(V_1, E_1)$ is an **induced subgraph** of $G_2 = (V_2, E_2)$ provided that $V_1 \subset V_2$ and $E_2$ contains **all** edges of $E_1$ which join edges in $V_1$. +- +- # Planar Graphs + - What is a **planar graph**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:19:45.615Z + card-last-score:: 1 + - If you can sketch a graph such that none of its edges cross, it is a **planar graph**. + - What is a **face**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T15:22:52.013Z + card-last-reviewed:: 2022-11-14T16:22:52.013Z + card-last-score:: 3 + - When a planar graph is drawn without edges crossing, the edges & vertices of the graph divide the plane into regions called **faces**. + - The number of faces does not change no matter how you draw the graph, as long as no edges cross. + - + - ## Example + - The graph $K_{2,3}$ is **planar**. + background-color:: red + - ![image.png](../assets/image_1666951300835_0.png) + - [[draws/2022-10-28-11-04-05.excalidraw]] + - The planar representation $K_{2,3}$ has **3 faces** (the "outside" region counts as a face). + - Give a planar representation of $K_4$, and count how many faces it has. + background-color:: red + - [[draws/2022-10-28-11-22-12.excalidraw]] + - Why "face"? + background-color:: red + - [[draws/2022-10-28-11-25-20.excalidraw]] +- # Euler's Formula for Planar Graphs #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:18:07.821Z + card-last-score:: 1 + - For any ^^(connected) planar graph^^ with $v$ vertices, $e$ edges, and $f$ faces, we have: + - $$v - e + f = 2$$ + - ## Outline of Proof + - Start with $P_2$. + - Here, $v=2$, $e = 1$, $f=1$. So $v-e+f=2$. + - Any other graph can be made by adding vertices & edges (or just edges) to $P_2$. + - Suppose $v-e+f=2$ for a graph. + - If we add a new edge *with* a new vertex, then no new face is created, so $v-e+f$ does not change. + - If we add a new edge *without* a new vertex, then $f$ will increase by 1, so again, $v-e+f$ does not change. + - ## Example + - Is it possible for a connected planar graph to have 5 vertices, 7 edges, and 3 faces? Explain. + background-color:: red + - No. Euler's formula tells us that $v-e+f=2$. + - Here, $v=5$, $e=7$, $f=3$, so $v-e+f=1$. + - Any such graph is **not planar**. +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Describing Data in R.md b/second/semester1/logseq-stuff/pages/Describing Data in R.md new file mode 100644 index 00000000..48a9fc6b --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Describing Data in R.md @@ -0,0 +1,24 @@ +- #[[ST2001 Labs]] +- **Previous Topic:** [[Using R as a Calculator]] +- **Next Topic:** null +- +- Most of our computation in R will be using data in table form, with rows & columns, which are often stored as a `data.frame` object. + - The rows usually represent different *observations*, (e.g., humans, cars, etc.) and the columns represent different *variables* (features of the observation), (e.g., height, weight, etc.). +- +- What does `glimpse()` do? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-22T18:34:17.944Z + card-last-reviewed:: 2022-11-18T18:34:17.945Z + card-last-score:: 5 + - The `glimpse()` function gives us an overview of the dataset on each experimental unit. +- What does `dim()` do? #card + card-last-interval:: 29.99 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-14T19:04:53.617Z + card-last-reviewed:: 2022-11-14T20:04:53.617Z + card-last-score:: 5 + - The `dim()` function returns the number of rows & columns in a dataframe. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Device Management.md b/second/semester1/logseq-stuff/pages/Device Management.md new file mode 100644 index 00000000..bada2a4b --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Device Management.md @@ -0,0 +1,170 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Memory Management]] +- **Next Topic:** +- **Relevant Slides:** ![Lecture 8 - Device Management.pdf](../assets/Lecture_8_-_Device_Management_1668429132526_0.pdf) +- +- # Device Management + - What is **Device Management**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:17:50.052Z + card-last-score:: 1 + - **Device Management** is the process of managing the implementation, operation, & maintenance of physical and/or virtual devices. + - It is a broad term that includes various administrative tools & processes for the maintenance & upkeep of a computing, network, mobile, and/or virtual device. + - The status of any computing device (internal or external) may be either **free** or **busy**. + - If a device requested by a process is free at a specific instant of time, the operating system allocates it to the process. + - How does the Operating System manage devices? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-24T00:00:00.000Z + card-last-reviewed:: 2022-11-23T12:20:20.630Z + card-last-score:: 1 + - The OS manages devices with the help of: + - **Device Controllers:** Hardware components that contain some buffer registers to store the data temporarily. + - **Device Drivers:** Software programs that are used by an operating system to control the functioning of various devices in a uniform manner. + - The device controller used in a device management operation includes three different registers: **command**, **status**, & **data**. + - The other major responsibility of the device management function is to implement **Application Programming Interfaces (APIs)**. + - Each device controller is specific to a particular device. + - The device driver implementation will be device specific. + - Why? + - To provide correct commands to the controller. + - To interpret the Controller Status Register (CSR) correctly. + - To transfer data to and from device controller data registers as required for correct device operation. +- # Device Communication Approaches + - A computer must have a way of detecting the arrival of **any type of input**. + - There are various ways to enable I/O devices to communicate with the processor: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:18:19.796Z + card-last-score:: 1 + - ## Polling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:18:45.126Z + card-last-score:: 1 + - ### Implementation + - **Periodically checking status** of the device to see if it is time for the next I/O operation. + - The I/O device simply puts the information in a Status register, and the processor must come & get the information. + - ### Efficiency + - It's the simplest way for an I/O device to communicate with the processor. + - Most of the time, devices will not require attention and when one does, it will have to wait until it is next interrogated by the polling program. + - Much of the processor's time is wasted on unnecessary polls. + - ## Interrupts #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T15:20:44.422Z + card-last-reviewed:: 2022-11-14T16:20:44.423Z + card-last-score:: 3 + - ### Implementation + - A device controller puts out an **interrupt signal** when it needs the CPU's attention. + - When the CPU receives an interrupt, it **saves its current state** and invokes the appropriate interrupt handler using the interrupt vector (addresses of OS routines to handle various events). + - When the interrupting device has been dealt with, the CPU continues with its original task, as if it had never been interrupted. + - ### Efficiency + - Interrupts allow the processor to deal with events that can happen at any time. + - Interrupts remove the need for the CPU to constantly check the Controller Status Register. + - ## Direct I/O #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-24T00:00:00.000Z + card-last-reviewed:: 2022-11-23T12:20:09.419Z + card-last-score:: 1 + - ### Implementation + - Uses software which explicitly transfers data to/from the **controller's data registers**. + - Separate I/O & memory address spaces. + - The control indicates whether address information is for memory or I/O. + - ![image.png](../assets/image_1668439625225_0.png) + - ### Efficiency + - Reduced CPU utilisation (no caches or buffers). + - ## Memory Mapped I/O + - ### Implementation + - Direct connection between I/O device and certain main memory locations so that I/O device can **transfer blocks of data** to/from the memory without going through the CPU. + - OS allocates buffer in memory to the I/O device to send data to the CPU. + - I/O device operates **asynchronously** with CPU. + - Interrupts CPU when finished. + - ### Efficiency + - Memory mapped I/O is ideal for most high-speed I/O devices like disks, communcation interfaces, etc. + - +- # Buffering + - ## Design Objectives + - ### Efficiency + - Most I/O devices are extremely slow compared to the processor and main memory. + - Buffering is one way to deal with this issue. + - ### Generality + - It is desirable to handle all devices in a uniform & consistent manner. + - in the way user processes see the devices. + - In the way the OS manages the I/O devices & operations. + - What is **Buffering**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:15:10.546Z + card-last-score:: 1 + - **Buffering** is the technique by which the device manager can keep slower I/O devices busy during times when a process is not requiring I/O operations. + - What is **Input Buffering**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:16:35.294Z + card-last-score:: 1 + - **Input Buffering** involves having the input device read information into the primary memory before the process requests it. + - What is **Output Buffering**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:18:11.922Z + card-last-score:: 1 + - **Output Buffering** involves saving information in memory and then writing it to the device while the process continues execution. + - ## Hardware Level Buffering #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:19:51.036Z + card-last-score:: 1 + - Consider a simple character device controller that reads a single byte from a router for each input operation. + - ### Normal Operation + - 1. Read occurs. + 2. The driver passes a read command to the controller. + 3. The controller instructs the device to put the next character into one-byte data controller's register. + 4. The process calling for the byte **waits** operation to complete, and then retrieves the character from the data register. + - ![image.png](../assets/image_1668440272307_0.png){:height 257, :width 174} + - ### Buffered Operation + - The next character to be read by the process has already been placed into the data register, even though the next process has not yet been called for the read operation. + - Adding a hardware buffer to the controller **decreases** the amount of time the process has to wait. + - ### Driver-Level Buffering #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:51:53.356Z + card-last-score:: 1 + - This is generally called **double buffering**. + - One buffer is for the driver to store the data while waiting for the higher layers to read it. + - The other buffer is to store data from the lower-level modules. + - ![image.png](../assets/image_1668440350590_0.png){:height 371, :width 217} + - ### Using Multiple Buffers #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-24T00:00:00.000Z + card-last-reviewed:: 2022-11-23T12:16:44.978Z + card-last-score:: 1 + - The number of buffers is extended from 2 to $n$. + - The data producer writes into the buffer $i$ while the data consumer is reading from the buffer $j$. + - In this configuration: + - If $i 0$, and the probability density function is + - $$f(x) = \frac{e^{-\lambda}\lambda^x}{x!} \text{ for } x = 0,1,2,3,\cdots$$ + - ## Mean & Variance of Poisson Distribution + - If $\lambda$ is the average number of successes occurring in a given time interval or region in the Poisson Distribution, then the **mean** & the **variance** of the Poisson distribution are both equal to $\lambda$. + - Mean = $\lambda$, variance = $\lambda$. + - A one parameter distribution. + - ## Poisson Density Functions for Different Means + - ![image.png](../assets/image_1667824994941_0.png) + - If the variance is much greater than the mean, then the Poisson Distribution would not be a good model for the distribution of the random variable. + - ## Poisson Example: Calculations for Wire Flaws + - Suppose that the number of flaws on a thin copper wire follows a Poisson Distribution with a mean of 2.3 flaws per millimetre. + background-color:: green + - Find the probability of exactly 2 flaws in 1mm of wire. + background-color:: green + - $$P(X = 2) = \frac{e^{-2.3}2.3{2}}{2!} = 0.265$$ + - ## Poisson Example: Car Park + - A car park has 3 entrances, $A$, $B$, & $C$. The number of cars per hour entering through each of these is Poisson-distributed with mean $\lambda_A = 1.5$, $\lambda_B = 1.0$, and $\lambda_C = 2.5$. Arrivals at each entrance are **independent**. + background-color:: green + - $T$ is the total number of cars entering in an hour. + - $$T \sim \text{ Poisson}(\lambda_A + \lambda_B + \lambda_C) \equiv \text{Poisson}(1.5 + 1.0 + 2.5) \equiv \text{Poisson}(5)$$ + - $$P(T = 4) = \frac{e^{-5} 5^4}{4!} = 0.1755$$ + - ## Sum of Independent Poisson Random Variables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:54:18.796Z + card-last-score:: 1 + - If $X_1, X_2, \cdots, X_n$ are independently Poisson distributed with parameters $\lambda_1, \lambda_2, \cdots, \lambda_n$ then + - $$T = X_1 + X_2 + \cdots + X_n \text{ is Poisson}(\lambda_1 + \lambda_2 + \cdots + \lambda_n)$$ + - and + - $$E[T] = \lambda_1 + \lambda_2 + \cdots + \lambda_n$$ + - and + - $$\text{Var}(T) = \lambda_1 + \lambda_2 + \cdots + \lambda_n$$ + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Entity Relationship Models.md b/second/semester1/logseq-stuff/pages/Entity Relationship Models.md new file mode 100644 index 00000000..c9095e0b --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Entity Relationship Models.md @@ -0,0 +1,340 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Aggregate Clauses, Group By, & Having Clauses]] +- **Next Topic:** [[Joins & Union Queries]] +- **Relevant Slides:** ![ER-models.pdf](../assets/ER-models_1664888140370_0.pdf) +- +- What are **Data Models**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:34:07.942Z + card-last-score:: 1 + - **Data models** are concepts to describe the structure of a database. + - They comprise: + - High level or logical models; + - Representational / Implementational data models; + - Physical data models. + - Data models allow for database abstraction. +- What are **ER Models**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:34:30.174Z + card-last-score:: 1 + - **Entity Relationship Models** are a top-down approach to database design that provide a way to *model the data* that will be stored in a system. The models are then used to *create tables* in the relational model. + - ER Models are used to identify: + - [1] The important data to be stored in a database called **entities**. + - [2] The **relationships** between the entities. + - [3] The **attributes** of entities. + - [4] The **constraints** of relationships & entities. +- +- # ER Model Notation + - A number of different notations can be used to represent the same model. + - Chen Notation. + - IE Crow's Foot Notation. + - UML. + - Integrated Definition 1. Extended (IDEF1X). + - + - The original (Chen) notation uses diamonds, rectangles, and elipses. + - This is easier to hand-draw, so it is useful in an exam situation. + - It is less implementation-oriented than other notations. +- +- # Some Definitions + collapsed:: true + - ## Entities + collapsed:: true + - What is an **entity type**? #card + card-last-interval:: 3.05 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T21:24:38.127Z + card-last-reviewed:: 2022-11-14T20:24:38.127Z + card-last-score:: 5 + - An **entity type** is a collection of *entity instances* that share common properties or charcteristics. + - It is a group of objects, with the same properties, which are identified as having an independent existence. + - ![image.png](../assets/image_1664889325926_0.png) + - What is an **entity instance**? #card + card-last-interval:: 11.34 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-26T00:47:05.851Z + card-last-reviewed:: 2022-11-14T16:47:05.851Z + card-last-score:: 5 + - An **entity instance** or **entity occurrence** is a single, uniquely identifiable occurrence of an entity type (e.g., row in a table). + - ![image.png](../assets/image_1664889343582_0.png) + - ## Relationships + - What is a **relationship type**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:30:24.202Z + card-last-score:: 1 + collapsed:: true + - A **relationship type** is a set of meaningful relationships among entity types. + - **Chen's Notation:** A diamond shape is used to name the relationship. 1 and M/N are used for the "1" and "many" sides respectively. + - **Crow's Foot Notation:** The titular "crow's foot" is used as the representation of "many", and one line is used for the representation of "1". + - ![image.png](../assets/image_1664890907305_0.png) + - **Example:** employee "works for" department. department "has" employee. + - ![image.png](../assets/image_1664889461415_0.png) + - What is a **relationship instance**? #card + collapsed:: true + card-last-interval:: 29.04 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-10T11:35:42.874Z + card-last-reviewed:: 2022-11-11T11:35:42.874Z + card-last-score:: 3 + - A **relationship instance** or **relationship occurrence** is ==a uniquely identifiable association which includes one occurrence from each participating entity type==; reading left to right and right to left. + - **Example:** + - Left-to-Right: John Smith "works for" Research department. + - Right-to-Left: Research department "has" John Smith. + - What is the **degree** of a relationship type? #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-22T01:30:24.968Z + card-last-reviewed:: 2022-11-11T11:30:24.969Z + card-last-score:: 5 + collapsed:: true + - Whenever an attribute of one entity type refers to another entity type, some relationship exists. + - The **degree** of a relationship type is ^^the number of participating entity types.^^ + - Relationship types may have certain constraints. + - What is the **Cardinality Ratio**? #card + collapsed:: true + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-20T15:15:43.390Z + card-last-reviewed:: 2022-11-17T20:15:43.391Z + card-last-score:: 5 + - The **cardinality ratio** specifies ^^the number of relationship instances that an entity can participate in.^^ + - The possible cardinality ratios for binary relationship types are: + - $1:1$, "one to one" - at most one instance of entity $A$ is associated with one instance of entity $B$. + - $1:N$, "one to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$. + - $M:N$, "many to many" - for one instance of entity $A$, there are 0 or more instances of entity $B$, and for one instance of entity $B$, there are 0 or more instances of entity $A$. + - + - ### Structural Constraints on Relationships + - Often, we may know the min & max of the cardinalities. + - Example: limit on the number of books that can be borrowed from a library. + - What are **Structural Constraints**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-25T13:06:19.301Z + card-last-reviewed:: 2022-11-21T13:06:19.301Z + card-last-score:: 3 + - **Structural constraints** specify a pair of integer numbers *(min, max)* for each entity participating in a relationship. + - Examples: (0, 1), (1, 1), (1, N)., (1, 7). + - + - ## Attributes + collapsed:: true + - What are **Attributes**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:08.122Z + card-last-score:: 1 + collapsed:: true + - **Attributes** are ^^named property^^ or characteristic of an entity. + - Each entity has a set of attributes associated with it. + - Several types of attributes exist: + - Key. + - Composite. + - Derived. + - Multi-valued. + - **Notation:** + - **Chen:** An oval enclosing the name of the attribute. + - ![image.png](../assets/image_1664889737597_0.png) + - **Crow:** Listed in the entity box. + - ![image.png](../assets/image_1664889775094_0.png) + - What are **key attributes**? #card + card-last-interval:: 5.52 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-20T04:37:24.678Z + card-last-reviewed:: 2022-11-14T16:37:24.678Z + card-last-score:: 3 + collapsed:: true + - Each entity type must have an attribute or set of attributes that ^^uniquely identifies^^ each instance from other instances of the same type. + - A **candidate key** is an attribute (or combination of attributes) that uniquely identifies each instance of an entity type. + - A **primary key (PK)** is a candidate key that has been selected as the identifier for an entity type. + - What is a **composite attribute**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:46:49.892Z + card-last-score:: 1 + collapsed:: true + - A **composite attribute** is an attribute that is composed of several atomic (simple) attributes. + - If the composite attribute is referenced as a whole only, then there is no need to subdivide it into component attributes, otherwise you should divide it: + - ![image.png](../assets/image_1664890028074_0.png) + - What is a **derived attribute**? #card + card-last-interval:: 31.05 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-15T21:12:18.376Z + card-last-reviewed:: 2022-11-14T20:12:18.376Z + card-last-score:: 5 + collapsed:: true + - A **derived attribute** is an attribute whose values can be determined from another attribute. + - For Chen's notation, the notation is a *dotted oval*. + - ![image.png](../assets/image_1664890167971_0.png) + - For Crow's Foot notation, derived attributes can be represented by enclosing the attribute in [square brackets], e.g., [age]. + - What is a **multi-valued attribute**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:04.379Z + card-last-score:: 1 + - A **multi-valued attribute** is an attribute which has lower & upper bounds on the number of values for an individual entry. + - For Chen's notation, multi-valued attributes can be represented by one oval inside another. + - ![image.png](../assets/image_1664890277505_0.png) + - For Crow's Foot notation, multi-valued attributes can be represented by enclosing the attribute in {curly brackets}. + - E.g., {skills}. + - +- +- # Total & Partial Participation + collapsed:: true + - What is **Total Participation**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T20:26:04.052Z + card-last-reviewed:: 2022-11-14T20:26:04.052Z + card-last-score:: 3 + - **Total Participation** (Mandatory Participation): ==All instances of an entity must participate in the relationship==, i.e., *every* entity instance in one set *must* be related to an entity instance in the second via the relationship. + - For example, the entity "Student" must have **total participation** in the relationship "enrolled" with the entity "Course" - each student *must* be enrolled in a course. + - What is **Partial Participation**? #card + card-last-interval:: 7.45 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-22T02:28:50.125Z + card-last-reviewed:: 2022-11-14T16:28:50.125Z + card-last-score:: 3 + - **Partial Participation** (Optional Participation): Some subset of instances of an entity will participate in the relationship, but not all, i.e., *some* entity instances in one set are related to an entity instance in the second via the relationship. + - For example, the entity "Course" would have a **partial participation** in the relationship "enrolled" with the entity "Student" - a course might not have any students enrolled in it. + - ## Chen's Notation for Participation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-23T00:00:00.000Z + card-last-reviewed:: 2022-11-22T13:38:31.943Z + card-last-score:: 1 + - In both total & partial participation, the line(s) are drawn from the participating entity to the relationship (the diamond) to indicate the participation of that instance from that entity in the relationship, + - **Total Participation:** Double parallel lines. + - ![image.png](../assets/image_1664968200677_0.png) + - **Partial Participation:** Single line. + - ![image.png](../assets/image_1664968259633_0.png) + - Examples: + - ![image.png](../assets/image_1664968387620_0.png) + - + - ## Crow's Foot Notation for Participation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:01.789Z + card-last-score:: 1 + collapsed:: true + - Use the idea of **Ordinality / Optionality**. + - **Optionality of 0:** If an entity $A$ has partial participation in a relationship to entity $B$, then $A$ is associated with 0 or more instances of entity $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 0** is a **bar**: $|$ + - **Optionality of 1:** If an entity $A$ has full participation in a relationship to entity $B$, then $A$ is associated with at least 1 or more of $B$, so the **optionality sign** goes beside $B$. + - The optionality sign for an **Optionality of 1** is a **circle** or "o": $\bigcirc$ + - [And vice-versa.] + - In Crow's Foot notation, there is no diamond, so there is always a direct relationship line between the entities. + - The **optionality sign** is drawn on this line. + - The optionality drawn beside some entity $A$ refers to how an instance of entity $B$ is related to entity $A$. + - That is, whether $B$ can be involved partially (0) or not (1). + - Example in *Right to Left* Relationships: + - ![image.png](../assets/image_1664969067049_0.png) + - + - ## Note on Weak Entities + - **Note:** ^^A **weak entity type** always has a total participation constraint.^^ + - We need to show the "identifying relationship". + - ![image.png](../assets/image_1664969168410_0.png) + - ### Chen's Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:34:03.316Z + card-last-score:: 1 + collapsed:: true + - **Entity:** Double rectangle. + - **Relationship:** Double diamond. + - The weak entity has full participation in the relationship. + - ![image.png](../assets/image_1664969357926_0.png) + - + - ### Crow's Foot Notation for Weak Entities #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T19:36:10.883Z + card-last-score:: 1 + collapsed:: true + - In Crow's Foot Notation, we can represent the **weak entity** as a normal entity, but do not choose any attributes as the primary key. + - For an attribute that partially determines the entity instances, we choose the "required" option. + - We usually represent the relationship between entities using a **solid line**. + - This indicates that it is an "identifying" relationship. + - ![image.png](../assets/image_1664969566989_0.png) + - + - + - In general, with entities, there may be two valid solutions, one with a weak entity, and one without. + - There is not a huge difficulty if you do not identify weak entities in a solution so long as all the entities have **primary attributes**. + - It may be slightly non-optimal in terms of introducing an additional primary key that is not needed, but this is not a huge problem for us at this level. +- +- # Entities or Multi-Valued Attributes? + collapsed:: true + - Sometimes, it may not be clear whether something should be modelled as a multi-valued attribute or an entity. + - Both may be equally correct, as long as you represent all the information that you are asked to. + - You may see (very little) difference between the two approaches if you map either approach to tables in a database. +- +- # Steps to Create an ER Model + - 1. Identify entities. + 2. Identify relationships between entities. + 3. Draw entities & relationships. + 4. Add attributes to entities (& relationships, if appropriate). + 5. Add cardinalities to relationships. + 6. Add participation constraints (total or partial) to relationships. + 7. Check that all entities have primary keys identified. +- +- # Mapping ER Models to Tables in the Relational Model + - Once you have you ER diagram, you now need to convert it into a set of tables so that you can implement it in a relational mode. + - Example: As MySQL tables using `CREATE TABLES` commands. + - This stage is called **Mapping ER Models to Tables in the Relational Model**, and it specifies a set of rules that must be followed in a certain order. + - The rules specified here are based on **Chen's Notation**. + - ## Steps + - [1] For each entity, create a table $R$ that includes all the **simple** attributes of the entity. + - [2] For strong entities, choose a key attribute as the primary key of the table. + - [3] For weak entities $R$, include the primary key attributes of the table that corresponds to the owner as foreign key attributes of $R$. + - The primary key of $R$ is a combination of the primary key of the owner and the partial key of the weak entity type. + - The relationship of the weak & strong entity is generally taken care of by this step. + - [4] For each **binary** $1:1$ relationship, identify entites $S$ & $T$ that participate in the relation. + - If applicable, choose the entity that has **total participation** in the relation. + - Include the primary key of the other relation as the foreign key in this table. + - Include any attributes of the relationship as attributes of the chosen table. + - If both entities have total participation in the relationship, you can choose either one for the foreign key and proceed as above, or you can map two entities & their associated attributes & relationship attributes into one table. + - [5] For each **binary** $1:N$ relationship, identify the table $S$ that represents the $N$ side and the table $T$ that represents the $1$ side. + - Include the primary key of table $T$ as a foreign key in $S$ such that each entity on the $N$ side is related to at most one entity instance on the $1$ side. + - Include any attributes of the relationship as attributes of $S$. + - For recursive $1:N$ relationships, choose the primary key of the table and include it as a foreign key in the same table with a different name. + - [6] For each $M:N$ relationship, create a new table $S$ to represent the relationship. + - Include the primary keys of the tables that represent the participating entity types as foreign keys in $S$ - their combination will form the primary key of $S$. + - Also include in $S$ any attributes of the relationship. + - For a recursive $M:N$ relationship, both foreign keys come from the same table (give different names to each) and become the new primary key. + - [7] For each **multi-valued attribute** $A$ of an entity $S$, create a new table $R$. + - $R$ will include: + - An attribute corresponding to $A$. + - The primary key of $S$, which will be a foreign key in $R$. Call this $K$. + - The primary key of $R$ is a combination of $A$ & $K$. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Exam Timetable & Proposed Study Schedule.md b/second/semester1/logseq-stuff/pages/Exam Timetable & Proposed Study Schedule.md new file mode 100644 index 00000000..6c6c87f8 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Exam Timetable & Proposed Study Schedule.md @@ -0,0 +1,9 @@ +- # Exam Timetable + - | **Date** | **Time** | **Module** | + | 2022-12-08 Thursday | 13:00 - 15:00 | CT230 | + | 2022-12-09 Friday | 13:00 - 15:00 | CT213 | + | 2022-12-13 Tuesday | 09:30 - 11:30 | CT2106 | + | 2022-12-15 Thursday | 09:30 - 11:30 | MA284 | + | | 16:30 - 18:30 | ST20021 | + - + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Exploratory Data Analysis.md b/second/semester1/logseq-stuff/pages/Exploratory Data Analysis.md new file mode 100644 index 00000000..2b431005 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Exploratory Data Analysis.md @@ -0,0 +1,282 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** null +- **Next Topic:** [[Sampling]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662914505882_0.pdf) +- +- ## What is / are Statistics? + collapsed:: true + - What is a **statistic**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-26T13:40:07.042Z + card-last-reviewed:: 2022-11-22T13:40:07.042Z + card-last-score:: 5 + - A **statistic** is any quantity computed from sample data. + - What is the **Science of Statistics**? + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-10-13T16:37:15.281Z + card-last-reviewed:: 2022-10-03T11:37:15.284Z + card-last-score:: 5 + - The collecting, classifying, summarising, organising, analysing, estimation, and interpretation of information. + - What is the **role of statistics**? + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-09T18:10:56.000Z + card-last-reviewed:: 2022-09-30T12:10:56.000Z + card-last-score:: 5 + - The field of statistics deals with the collection, presentation, analysis, and use of data to: + - make decisions + - solve problems + - design products & processes + - Statistics is the ^^science of uncertainty.^^ + - What is the **role of probability** in statistics? + - **Probability** provides the framework for the study & application of statistics. +- +- ## Types of Statistics + collapsed:: true + - What is **Descriptive Statistics**? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-30T04:36:51.695Z + card-last-reviewed:: 2022-11-18T18:36:51.696Z + card-last-score:: 3 + - **Descriptive Statistics** is the science of summarising data, both numerically & graphically. + - The analysis methods applicable depends on the variable being measured and the research questions that you are trying to answer. + - What is **Inferential Statistics**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-26T13:37:26.721Z + card-last-reviewed:: 2022-11-22T13:37:26.722Z + card-last-score:: 3 + - **Inferential Statistics** is the science of using the ^^information in your sample^^ to ^^infer^^ something about the population of statistics. +- +- ## Important Terms + collapsed:: true + - What is an **experimental unit**? #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:44:53.701Z + card-last-reviewed:: 2022-11-14T16:44:53.701Z + card-last-score:: 5 + - An **experimental unit** / individual is a single object upon which we collect data. e.g., a person, thing, transaction, or event. + - What is a **population**? #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:49:52.921Z + card-last-reviewed:: 2022-11-14T16:49:52.922Z + card-last-score:: 5 + - A **population** is a ^^collection of experimental units^^ / individuals that we are interested in studying. + - What is a **sample**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:36.002Z + card-last-reviewed:: 2022-11-14T16:51:36.002Z + card-last-score:: 5 + - A **sample** is a subset of experimental units from the population. + - What is a **variable**? #card + collapsed:: true + card-last-interval:: 10.64 + card-repeats:: 3 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-25T07:35:49.776Z + card-last-reviewed:: 2022-11-14T16:35:49.776Z + card-last-score:: 5 + - A **variable** is a ^^characteristic or property of an individual experimental unit^^. + - A variable may be measured, or more generally "observed" on each individual. + - What is **Qualitative Data**? #card + card-last-interval:: 8.72 + card-repeats:: 3 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-11-23T09:37:05.082Z + card-last-reviewed:: 2022-11-14T16:37:05.082Z + card-last-score:: 3 + - **Qualitative Data** is data which can be classified into categories. + - Two types of Qualitative Data: + - **Ordinal:** ordered qualitative data - e.g., a grade, + - **Nominal:** unordered qualitative data - e.g., a gender, a method of payment + - What is **Quantitative Data**? #card + card-last-interval:: 30.47 + card-repeats:: 4 + card-ease-factor:: 2.76 + card-next-schedule:: 2022-12-15T07:21:06.252Z + card-last-reviewed:: 2022-11-14T20:21:06.252Z + card-last-score:: 5 + - **Quantitative Data** is data in the form of counts or numbers - it cannot be classified into categories. + - Two types of Quantitative Data: + - **Discrete:** non-divisible, single points of data, **counts** - e.g., number of texts sent + - **Continuous:** measurements that, if placed on a number scale, can be placed in an infinite number of spaces between two whole numbers - e.g., age, rent, temperature +- +- Pie charts make data very difficult to interpret & read - **don't use them**. +- +- ## Numerical Summaries + - ### Central Tendency + - What is a **numerical summary**? #card + card-last-score:: 5 + card-repeats:: 5 + card-next-schedule:: 2023-02-06T22:21:22.599Z + card-last-interval:: 84.1 + card-ease-factor:: 2.76 + card-last-reviewed:: 2022-11-14T20:21:22.599Z + - A **numerical summary** is a way of summarising categorical data using a frequency count or percentage. + - How do you calculate the **sample mean**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:47:38.996Z + card-last-reviewed:: 2022-11-14T16:47:38.997Z + card-last-score:: 5 + - Suppose that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$. The **sample mean**, denoted by $\bar{x}$, is: + - $$\bar{x} = \sum_{i=1}^{n}\frac{x_i}{n}=\frac{x_1+x_2+...+x_n}{n}$$ + :LOGBOOK: + CLOCK: [2022-09-12 Mon 18:35:39] + :END: + - ^^The sample mean is **sensitive** to extreme values^^ + - How do you calculate the **sample median**? #card + card-last-interval:: 8.72 + card-repeats:: 3 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-11-23T09:49:27.636Z + card-last-reviewed:: 2022-11-14T16:49:27.637Z + card-last-score:: 5 + - Given that the observations in a sample are $x_1,\ x_2,\ ...\ ,\ x_n$, arranged in **increasing order** of magnitude, the **sample median** is: + - $$\bar{x} = \begin{cases}x_{(n+1)/2}, & \text{if $n$ is odd},\\ \frac{1}{2}(x_{n/2} + x_{n/2+1}), &\text{if $n$ is even.} \\ \end{cases}$$ + - ^^The sample median is **not** sensitive to extreme values.^^ + - What is the **mode**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:42.814Z + card-last-reviewed:: 2022-11-14T16:51:42.815Z + card-last-score:: 5 + - The **mode** is the most frequent observation in a dataset. + - ### Variation + collapsed:: true + - What is the **range** of a sample? #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:53.283Z + card-last-reviewed:: 2022-11-14T16:51:53.283Z + card-last-score:: 5 + - The **range** of a sample is the **maximum** - **minimum**. + - The range is a ^^poor measure of spread and is badly affected by outliers.^^ + - The range is also ^^badly affected by outliers.^^ + - #### Interquartile Range + - What is the **interquartile range** of a sample? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-26T06:18:35.901Z + card-last-reviewed:: 2022-11-14T20:18:35.901Z + card-last-score:: 5 + - The **interquartile range** is the middle 50% of the data. + - Therefore, it is ^^robust to outliers.^^ + - To calculate the **IQR**, first split the data in 4 quarters and subtract the value at $Q_3$ from the value at $Q_1$. + - $$IQR=Q_3-Q_1$$ + - ![image.png](../assets/image_1663005545935_0.png) + - #### Tukey's Method for IQR + - There are also many other methods for calculating IQR. + - 1. Put data in **ascending** order. + 2. The **lower quartile** ($Q_1$)is the **median** of the **lower** 50% of the data, including the median. + 3. The **upper quartile** ($Q_3$) is the **median** of the **upper** 50% of the data, including the median. + - #### Standard Deviation #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-27T15:16:26.346Z + card-last-reviewed:: 2022-11-23T12:16:26.350Z + card-last-score:: 5 + - A common measure of spread is the **standard deviation**, which takes into account how far *each* data value is from the mean. + - A **deviation** is the distance of a datapoint from the mean. + - Since the sum of all the deviations would be zero, we square each deviation and find an average of the deviations called the **variance**. + - We then get the positive square root of the **sample variance** to get the the **sample standard deviation**, which is preferable to the sample variance, as the sample variance is in squared units. + - The **standard deviation** is ^^sensitive to outliers.^^ + - How do you calculate the **sample variance**, and hence, the **sample standard deviation**? #card + card-last-interval:: 10.97 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-25T15:37:19.443Z + card-last-reviewed:: 2022-11-14T16:37:19.444Z + card-last-score:: 3 + - The **sample variance**, denoted by $s^2$, is given by: + - $$s^2=\sum_{i=1}^{n} \frac{(x_i - \bar{x})^2}{n-1}$$ + - The **sample standard deviation**, denoted by $s$, is the **positive square root** of $s^2$, that is: + - $$s=\sqrt{s^2}$$ + - ### Shape + - #### Graphical Summaries of Data + - Depends on the variable of interest. + - **Categorical** response variable -> bar chart or pie chart. + - **Categorical** response variable ^^with an explanatory variable^^ -> grouped bar chart. + - **Continuous** response variable -> histogram, boxplot, densit plot. + - **Continuous** response variable ^^with an explanatory variable^^ -> grouped boxplot. + - + - What is a **boxplot**? #card + card-last-interval:: 5.52 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-20T04:34:53.491Z + card-last-reviewed:: 2022-11-14T16:34:53.492Z + card-last-score:: 3 + - A **boxplot** is a graphical display showing centre, spread, shape, & outliers. + - It displays the **5-number summary**: + - *min, Q1, median, Q3, max* + - ![image.png](../assets/image_1663236210540_0.png) + - What is a **histogram**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:00:35.072Z + card-last-score:: 1 + - **Histograms** are useful to show the general shape, location, and spread of data values. + - Representation by *area*. + - **Construction** + - Determine range of data *minimum, maximum*. + - Split into convenient intervals or *bins*. + - Usually use 5 to 15 intervals. + - Count number of observations in each interval - *frequency*. + - When talking about the shape of the data, make sure to address the following 3 questions: + - 1. Does the histogram have a single, central hump or several well-separated bumps? + 2. Is the histogram or boxplot **symmetric**, or more spread out in one direction (skewed)? + 3. Any unusual features? e.g.., outliers, spikes. + - ![image.png](../assets/image_1663237164731_0.png) + - ![image.png](../assets/image_1663237245117_0.png) + - + - #### Explanatory & Response Variables + collapsed:: true + - To identify the **explanatory** variable in a pair of variables, identify which of the two is suspected of affecting the other and plan an appropriate analysis + - explanatory variable -might effect-> response variable + - continent -might effect-> life expectancy. +- +- ## R Markdown + - What is **R Markdown**? #card + card-last-interval:: 28.93 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-13T14:49:15.636Z + card-last-reviewed:: 2022-11-14T16:49:15.637Z + card-last-score:: 5 + - **R Markdown** is a file format for making ^^dynamic documents in R.^^ + - R Markdown is written in Markdown and contains chunks of embedded R code (data management, summaries, graphics, analysis & interpretation) all in one document. + - Documents can be **knitted** to HTML, PDF, Word, and many other formats. + - ### Key Benefits of R Markdown + - Makes it easy to produce statistical reports with code, analysis, outputs, and write-up all in one place. + - Perfect for reproducible research. + - Easy to convert to different document types. + - ### Structure + - R Markdown contains **three** types of content: + - A **YAML Header**. + - Text, formatted with Markdown. + - Code chunks. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Extra-Curriculars.md b/second/semester1/logseq-stuff/pages/Extra-Curriculars.md new file mode 100644 index 00000000..294ff2da --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Extra-Curriculars.md @@ -0,0 +1,3 @@ +- ### [[日本語]] +- ### [[Irish Sign Language]] +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/File Organsiation.md b/second/semester1/logseq-stuff/pages/File Organsiation.md new file mode 100644 index 00000000..8628a0e6 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/File Organsiation.md @@ -0,0 +1,222 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Query Processing & Optimisation]] +- **Next Topic:** +- **Relevant Slides:** ![FileOrganisations.pdf](../assets/FileOrganisations_1668521188976_0.pdf) +- +- Generally, we can assume that for a non-trivial relational database that the entire database will not fit in the main memory (RAM). +- Note: Newer database system architectures, in-memory databases (such as SAP Hanna), manage their data through virtual memory, relying on the OS to manage the movement of data to & from the main memory through the OS paging mechanism. +- One of the DBMS's tasks is to manage the physical organisation (storage & retrieval) of the tuples (rows) in each table in the database. + - This is called **File Organisation**. +- What is **File Organisation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-16T00:00:00.000Z + card-last-reviewed:: 2022-11-15T18:42:32.857Z + card-last-score:: 1 + - A database **file organisation** is the way in which tuples from a table are physically arranged in secondary storage to facilitate the storage of data and read/write requests by users (via queries). + - A number of factors to consider, including: + - Support of fast access of data - moving to/from secondary storage. + - Cost. + - Efficient use of secondary storage space. + - Provision for table growth (when new tuples are added). +- What is a **file**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-16T00:00:00.000Z + card-last-reviewed:: 2022-11-15T18:42:28.412Z + card-last-score:: 1 + - A **file** is a collection of data stored in bulk. + - In DBMS, we have referred to these files as *tables* or *relations*. + - In DBMS, we know that such tables contain a sequence of **tuples**, where each tuple contains a **sequence of bytes** and is subdivided into **attributes** or **fields**. Each attribute contains a specific **piece of information**. Associated with each attribute is a **data type**. + - In File Systems, we refer to these tuples as **records** containing **fields**. +- # Records + - Each recorder often begins with a *header* - a fixed-length region that stores information about the record such as: + - Pointer to the database schema. + - Length of the record. + - Timestamp indicating the time the record was last modified or read. + - Pointers to the fields of the record. + - ## Size of records/tuples + - **Fixed Length:** All records (tuples) in a file (table) exactly the same size. + - **Variable Length:** Different records (tuples) in a file (table) have different size. +- # File Organisation Issues + - How can these records be organised to store in a **compact** manner on devices of limited capacity and provide convenient & quick access by programs? +- # Blocks + - Different terminology is used but generally speaking a Block = a Frame = a Page, where records from a file are assigned to Blocks/Pages/Frames. + - Relational DBMS use the terminology of a **block**. + - Therefore, a table can also be defined as a collection of blocks where each block contains a collection of records. + - What is a **block**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-17T00:00:00.000Z + card-last-reviewed:: 2022-11-16T21:17:50.239Z + card-last-score:: 1 + - A **block** is the unit of data transfer between secondary storage & memory. + - The block size $B$ is fixed. + - Records of a file must be allocated to blocks. + - Typically, the block size is larger than the record size, so each block will contain a number of records. + - Some files may have very large records that cannot fit in one block, so they **span** recrods over a number of blocks. + - A number of blocks is typically associated with a table. + - Blocks also have a header that holds information about the block such as: + - Links to one or more blocks associated with the table. + - Which table (in the schema) the blocks belong to. + - Timestamp of last access to block (read or write). + - What is the **Blocking Factor**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:46:11.528Z + card-last-score:: 1 + - The **Blocking Factor** is the average number of records that fit per block. + - Given a block size $B$ (in bytes) and record size $R$ (in bytes), then with $B \geq R$, we can fit $\text{floor} \left( \frac{B}{R} \right)$ records per block. + - We must ensure that the header information is also accounted for. + - ### Example + - With unspanned memory organisation and $B = 1024 \text{ Bytes}$ (once header information is stored) and $R = 100 \text{ Bytes (and of fixed length)}$, the blocking factor is $\text{floor} \left( \frac{1024}{100} \right) = 10$. + - ## Spanned vs Unspanned Organisations + - In **Spanned Organisation**, records can span more than one block. + - In **Unspanned Organisation**, records are not allowed to cross block boundaries. + - So can only use when $B \geq R$ (i.e., when block size is greater than record size). + - ## Why use blocking? + - Say we need to retrieve a file with 1000 records. + - If not blocked, then we would need 1000 data transfers. + - If blocked with a blocking factor of 10, and records are stored one after another in blocks, then the same operation requires 100 data transfers. +- # Operations Performed on a File + - All the operations that we have been performing with SQL code can be performed on a file: + - Scan or fetch all records. + - Search records that satisfy an equality condition (i.e., find specific records). + - Search records where a value in the record is within a certain range. + - Insert records. + - Delete records. +- # Steps to Search for a Records on a Disk #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:45:33.206Z + card-last-score:: 1 + - 1. Locate the relevant blocks. + 2. Move these blocks to main memory buffers. + 3. Search through block(s) looking for the required records. + 4. At worst (*the worst case*), we may have to retrieve and check through all the blocks for the record. + - Generally, when accessing records, to support record-level operations we must: + - Keep track of the **blocks** associated with a file. + - Keep track of the **free space** on the blocks. + - Keep track of the **records** on a block. +- # Options for Organising Records + - Heap file organisation (unordered). + - Sequential file organisation (ordered). + - Hashing/hashed file organisation. + - Indexed file organisation (Primary, Clustered, B-Trees, B+ Trees). + - ## Heap File Organisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:46:39.719Z + card-last-score:: 1 + - **Approach:** Any record can be placed in any block where there is space for the record (no ordering of records). + - **Insertion:** The last disk block associated with the file (table) is copied into the buffer and the record is added; the block copied back to disk. + - **Searching:** Must search all blocks (linear search). + - **Deletion:** Find the block with the record (linear search); delete the link to the record. + - ### Advantages + - Insertion is efficient & easy - the last disk block is copied into the buffer and the record is added; the block is copied back to the disk. + - ### Disadvantages + - Searching is inefficient - must search all blocks (linear search). + - Deleting is inefficient - search first; delete and then leave unused space in the block if using the "easy" insert approach. + - ## Sequential File Organisation #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T08:45:18.181Z + card-last-reviewed:: 2022-11-17T09:45:18.183Z + card-last-score:: 3 + - **Approach:** Records are stored in *sequential* order, based on the value of some key of each record - often the primary key. + - We usually use an **index** with sequential file organisation. + - Sequential File Organisation allows records to be read in sorted order. + - ### Advantages + - Reading records in order is efficient. + - Searching is efficient on the key field (binary search). + - Easy to find the "next record". + - ### Disadvantages + - Insertion & deletion is expensive as records must remain physically ordered. + - Pointer chains are used (part of the header information). + - Searching is inefficient on a non-key field. + - ## Hashing / Hashed File Organisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-17T00:00:00.000Z + card-last-reviewed:: 2022-11-16T21:17:57.726Z + card-last-score:: 1 + - A **hash function** is computed on some attributes of each record (often a key value). + - The output of the hash function is the **block address** where the record should be placed. + - ![image.png](../assets/image_1668602284161_0.png) + - ### Hash Functions + - A common hash function is the `MOD` or modulus function where `a MOD b` or `a % b` returns the remainder on dividing `a` by `b`, i.e. integer division. + - ### Criteria for Choosing the Hash Function + - Should be easy & quick to compute. + - Should uniformly distribute hash addresses across the available space. + - Picking a prime number for the mod function helps with this, but cannot guarantee it. + - Should anticipate file growth (insertions & deletions) so that only a fraction of each block is initially filled, thus leaving room to insert new records. + - ### Collisions + - However, at any stage, two or more key field values can hash to the same location. + - If there is no room to place a record, this is called a **collision**. + - If a collision occurs, and there is no space in the block for a new record, then the record must find a new location. + - This is called **collision resolution**. + - One approach to collision resolution is **Linear Probing**. + - Hash function returns block location $i$ for the record. + - If there is no room in block $i$, check block $i+1$, $i+2$, etc. until a block with room is found. + - ## Indexed File Organisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:46:30.122Z + card-last-score:: 1 + - Indexing speeds up operations that are not efficiently supported by the basic file organisation. + - Consists of **index entries**. + - Each index entry consists of: + - Index key. + - Record or block pointer. + - The index entries are placed on the disk, either in sequential **sorted order (ordered indices)** or hashed order. + - A complete index may be able to reside in main memory. + - ### To Access a Record Using Indexing Key + - 1. Retrieve the index file. + 2. Search through it for the required field (based on the index key value). + 3. Answer the query or return to secondary storage for the block which contains the required record. + - ### Dense vs Sparse Indices #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-17T00:00:00.000Z + card-last-reviewed:: 2022-11-16T21:17:44.546Z + card-last-score:: 1 + - An index is **dense** if it contains an entry for every record in the file. + - A dense index may be created for any index key. + - A **sparse** (or non-dense) index contains an entry for each block rather than an entry for every record in the file. + - Sparse indices can only be used if the records are assigned to blocks in sorted (sequential) order based on the primary index key. + - A sparse index is called a **primary index**. + - ### More on Primary Indices + - The total number of entries in a primary index is the same as the total number of **blocks** in the ordered file. + - The first record in each block is called the **anchor record** of the block. + - #### Advantages + - Fewer index entries than records, so the index file is smaller. + - #### Disadvantages + - Insertions & deletions are a problem - may have to change anchor record. + - Searching may take longer. + - ### Clustered & Secondary Indices #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:46:03.592Z + card-last-score:: 1 + - Records that are logically related are physically stored close together on the disk (i.e., in the same blocks or consecutive blocks). + - Records are physically ordered on a non-key field that does not have a distinct value for each record. + - The clustering index consists of: + - A clustering field value. + - A block pointer to the first block that has a record with that value for the clustering field. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Firebase Functions.md b/second/semester1/logseq-stuff/pages/Firebase Functions.md new file mode 100644 index 00000000..bfec1903 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Firebase Functions.md @@ -0,0 +1,73 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Introduction to NodeJS]] +- **Next Topic:** [[Introduction to Firestore]] +- **Relevant Slides:** ![Week 10 - Firebase functions, Callbacks, Creating our first function.pdf](../assets/Week_10_-_Firebase_functions,_Callbacks,_Creating_our_first_function_1668085262844_0.pdf) +- +- **Firebase Functions** is a compute service that lets you run code without provisioning or managing servers. + - Similar to AWS Lambda, Azure Functions, etc. + - It runs your code only when needed and scales automatically, from a few requests per day to thousands per second. + - You pay only for the compute time you consume - there is no charge when your code is not running. +- # HTTP Requests + - ## HTTP Verbs + - `GET` and `POST` are HTTP request methods to transfer data from client to server. + - Both can be used to send requests & receive responses. + - `PUT` is used to update / replace, `DELETE` is used to delete, & `PATCH` is used to partially update / modify. + - ### `GET` + - `GET` is designed to request data from a specified resource. + - `GET` requests can be cached. + - `GET` requests remain in the browser history (you can go back). + - `GET` can't be used to send binary data, like images or word documents to the server. + - `GET` requests can be bookmarked. + - `GET`requests have length restrictions. + - `GET` requests should only be used to retrieve data. + - Using `GET`, data can be sent to the server by adding name=value pairs at the end of the URL, i.e., Querystring. + - ### `POST` + - `POST` is designed to submit data to the specified resource. + - `POST` requests are never cached. + - `POST` requests do not remain in the browser history. + - `POST` requests cannot be bookmarked. + - `POST` requests have no restrictions on data length. + - The `POST` method can be used to send ASCII as well as binary data. + - Form data is often sent to the server via a `POST` request. + - ### `GET` vs `POST` + - Use `GET` if you are requesting a resource. + - You may need to send some data to get the correct response back, but in general the idea is to `GET` a resource. + - Use `POST` if you want to send data to the server. + - ## Request Structure #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:50:44.830Z + card-last-score:: 1 + - All HTTP requests have three main parts. + - ### Request Line + - HTTP Method (`GET`, `POST`, etc.). + - URL - the address of the resource that is being requested. + - HTTP version. + - ### Headers + - Additional information passed between the browser & the server, i.e., cookies, browser version, OS version, auth tokens, content-type. + - ### Message Body + - Client & server use the message body to transmit data back & forth between each other. + - `POST` requests will usually have data in the body. + - `GET` requests leave the message data empty. + - ## Postman Client + - When writing backend APIs, it's often necessary to test it quickly. + - You don't want to have to write a client-side request to test each API. + - Sometimes, you may even want to pass in values which would take even longer to code up. + - Postman can help. + - Postman is good for testing APIs without having to write client-side code to make the requests. + - It will work for all request methods, i.e., `GET`, `POST`, `PUT`. etc. + - You can code the backend, independent of the frontend. +- # JSON + - What is **JSON**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T11:23:52.503Z + card-last-reviewed:: 2022-11-14T16:23:52.503Z + card-last-score:: 5 + - **JavaScript Object Notation (JSON)** is an open, human & machine readable standard that facilitates data interchange. + - Along with XML, JSON is the main data interchange format on the web. + - Firestore uses JSON documents to store records of information. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/First Java Code.md b/second/semester1/logseq-stuff/pages/First Java Code.md new file mode 100644 index 00000000..80327354 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/First Java Code.md @@ -0,0 +1,196 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Introduction to Java]] +- **Next Topic:** [[More Java Code]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663059993088_0.pdf) +- +- What is the **structure of a class**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-01T00:46:31.046Z + card-last-reviewed:: 2022-11-09T12:46:31.046Z + card-last-score:: 3 + - Every class has the following structure: + - ```java + public class ClassName + { + Fields + Constructors + Methods + } + ``` +- ## Fields + - What are **Fields**? #card + card-last-interval:: 86.42 + card-repeats:: 5 + card-ease-factor:: 2.66 + card-next-schedule:: 2023-02-09T06:22:08.706Z + card-last-reviewed:: 2022-11-14T20:22:08.706Z + card-last-score:: 5 + - **Fields**, also known as **instance variables**, store values for an object. + - Fields define the state of an object. + - In BlueJ, use *Inspect* to view the state. + - Some values change frequently, others rarely, or not at all. +- ## Encapsulation + - What is **Encapsulation**? #card + card-last-interval:: 9.68 + card-repeats:: 3 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-24T08:35:40.664Z + card-last-reviewed:: 2022-11-14T16:35:40.665Z + card-last-score:: 5 + - In **encapsulation**, the ^^variables of a class will be hidden from other classes^^ and can only be accessed through the methods of their current class. + - This is also known as **data hiding**. + - Why use encapsulation? #card + card-last-interval:: 22.66 + card-repeats:: 4 + card-ease-factor:: 2.38 + card-next-schedule:: 2022-12-07T11:20:26.959Z + card-last-reviewed:: 2022-11-14T20:20:26.960Z + card-last-score:: 5 + - In OOP, ^^each object is responsible for its own data.^^ + - This allows an object to have greater control over which data is available to be viewed externally, and how external objects can mutate the object's state. + - ### Encapsulation Type: Private + - What is the effect of making a field **private**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:33:20.443Z + card-last-reviewed:: 2022-10-20T08:33:20.443Z + card-last-score:: 5 + - Making a field **private** encapsulates their values inside their object. + - No external class or object can access a private field. +- +- ## Constructors + - What are **constructors**? #card + card-last-interval:: 25.4 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-10T01:49:12.088Z + card-last-reviewed:: 2022-11-14T16:49:12.088Z + card-last-score:: 3 + - Constructors: + - Initialise an object. + - Have the same name as their class. + - Have a close association with the fields: + - They contain the initial values stored in the fields. + - They contain the parameter values often used for these. + - What is the point of the keyword `this`? #card + card-last-score:: 5 + card-repeats:: 4 + card-next-schedule:: 2022-12-18T07:50:05.102Z + card-last-interval:: 33.64 + card-ease-factor:: 2.9 + card-last-reviewed:: 2022-11-14T16:50:05.103Z + - The `this` keyword refers to the current object in a method or constructor. + - The most common use of `this` is to distinguish between class attributes & parameters of the same name. + - If the input parameter variables in your constructor have the **same name** as your fields, you must use the `this` keyword to distinguish between the two. + - `this` = "belonging to this object". + - E.g., + - ```java + public Bicycle(int speed, int gear, int cadence) + { + this.speed = speed; + this.gear = gear; + this.cadence = cadence; + } + ``` +- +- ## Methods + - What are **methods**? #card + card-last-score:: 5 + card-repeats:: 5 + card-next-schedule:: 2022-12-18T19:12:15.540Z + card-last-interval:: 33.96 + card-ease-factor:: 2.04 + card-last-reviewed:: 2022-11-14T20:12:15.540Z + - **Methods** implement the *behaviour* of an object. + - They have a consistent structure comprised of a *header* and a *body*. + - ### Accessor Methods + - What are **accessor** methods? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-09T18:39:30.677Z + card-last-reviewed:: 2022-11-11T11:39:30.678Z + card-last-score:: 5 + - **Accessor** methods provide information about the state of an object. + - An accessor method always returns a type that is **not** `void`. + - An accessor method returns a value (*result*) of the type given in the **header**. + - The method will contain a **return** statement to return the value. + - ### Mutator Methods + - What are **mutator** methods? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:48:10.566Z + card-last-reviewed:: 2022-11-14T16:48:10.566Z + card-last-score:: 5 + - **Mutator** methods alter (*mutate*) the state of an object. + - Achieved through changing the value of one or more fields. + - They typically contain one or more *assignment* statements. + - Often receive parameters. + - ![image.png](../assets/image_1663063179688_0.png) + - ### Mutator Methods: Set + - Each field may have a dedicated **set** mutator method. + - These have a simple, distinctive form: + - **void** return type + - method name related to the field name + - a single formal parameter, with the same type as the type of the field + - a single assignment statement + - A typical "set" method: + - ```java + public void setGear (int number) + { + gear = number; + } + ``` + - ### Protector Mutators + - A set method does not always have to assign unconditionally to the field. + - The parameter may be checked for validity and rejected if innappropriate. + - Mutators thereby protect fields. + - Mutators also support *encapsulation*. + - #### Protecting a Field + - ```java + public void setGear (int gearing) + { + // this conditional statement prevents innapropriate action. + // if protects the "gear" field from values that are too large or too small. + if (gearing >= 1 && gearing <= 18) + { + gear = gearing; + } + else + { + System.out.println("Exceeds maximum gear ratio. Gear not set"); + } + } + ``` + - ### Method Structure + - The **header**: + - The head tells us: + - the *visibility* of the method to objects of other class. + - whether or not the method *returns a result*. + - the *name* of the method. + - whether or not the method takes *parameters*. + - E.g., + - ```java + public int getSpeed() + ``` + - The **body** encloses the method's *statements*. +- +- ## C vs Java + - Unlike C, an OOP program will **not** have a pool of global variables that each method can access. + - Instead, ^^each object has its own data^^, and other objects rely on the *accessor* methods of the object to access the data. +- +- ## Conditional Statements + - Conditional statements in Java have the same format as in C. + - ```java + if (condition) { + do something; + } + else { + do somethingElse; + } + ``` + - ![image.png](../assets/image_1663063508214_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Friedrich Nietzsche.md b/second/semester1/logseq-stuff/pages/Friedrich Nietzsche.md new file mode 100644 index 00000000..a17baefd --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Friedrich Nietzsche.md @@ -0,0 +1,2 @@ +- #本 +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/GDPR.md b/second/semester1/logseq-stuff/pages/GDPR.md new file mode 100644 index 00000000..a7248ad8 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/GDPR.md @@ -0,0 +1,459 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous topic:** [[Introduction to Cybersecurity]] +- **Next Topic:** [[Introduction to Cryptography]] +- **Relevant lecture slides:** ![Lecture01.pdf](../assets/Lecture01_1662819128126_0.pdf) +- +- ## Motivation + - What are **Cyberattacks**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T17:25:05.425Z + card-last-reviewed:: 2022-10-01T13:25:05.425Z + card-last-score:: 5 + - Cyberattacks are aimed at **accessing, changing, or destroying sensitive information**, extorting money, or interrupting normal business processes. + - Managing sensitive data may reduce the attack probability, or at least its impact. + - **GDPR** provides such a regulatory framework +- +- ## General Data Protection Regulation + - What is **GDPR**? #card + card-last-interval:: 56.69 + card-repeats:: 5 + card-ease-factor:: 2.42 + card-next-schedule:: 2023-01-07T03:40:11.348Z + card-last-reviewed:: 2022-11-11T11:40:11.348Z + card-last-score:: 5 + - The **General Data Protection Regulation** is a binding regulation in EU law on data protection in the European Union and the European Economic Area (EEA). + - The primary aim of GDPR is to ^^enhance individuals' control & rights over their personal data and to simplify the regulatory environment for international business.^^ + - The regulation contains ^^provisions & requirements related to the processing of personal data of individuals^^ who are located in the EEA, and applies to any enterprise that is processing the personal data of individuals inside the EEA - ^^regardless of its location and the data subjects' citizenship or residence.^^ + - ### GDPR Overview + - The GDPR sets out several key principles: #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-24T02:20:42.714Z + card-last-reviewed:: 2022-11-14T20:20:42.715Z + card-last-score:: 5 + - Lawfulness + - Fairness & Transparency + - Purpose Limitation + - Data Minimsation + - Accuracy + - Storage Limitation + - Integrity & Confidentiality (Security) + - Accountability + - What is **Lawfulness** in GDPR? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:33:16.784Z + card-last-reviewed:: 2022-10-20T08:33:16.785Z + card-last-score:: 5 + - You must identify ^^**valid grounds** under the GDPR (known as a "**lawful basis**")^^ for collecting & using personal data. + - Processing shall be lawful if and to the extent that at least one of the following applies: + - Consensual + - Necessary for the performance of a contract + - Necessary for compliance with a legal obligation + - Necessary to protect the vital interests of the data subject or another person + - Necessary for the performance of a task carried out in public interest + - Necessary for the purpose of legitimate interests + - What is **Fairness & Transparency** in GDPR? #card + card-last-interval:: 54.82 + card-repeats:: 5 + card-ease-factor:: 2.42 + card-next-schedule:: 2023-01-08T15:19:16.362Z + card-last-reviewed:: 2022-11-14T20:19:16.362Z + card-last-score:: 5 + - You must ^^use personal data in a way that is fair.^^ This means that you must not process the data in a way that is unduly detrimental, unexpected, or misleading to the individuals concerned. + - You must be ^^clear, open, & honest^^ with data subjects from the start about how you will use their personal data. + - At the time personal data is being collected from data subjects, they must be informed via a "**Data Protection Notice**". + - What is a **Data Protection Notice**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-06T08:01:49.347Z + card-last-reviewed:: 2022-11-14T20:01:49.348Z + card-last-score:: 5 + - A **Data Protection Notice** entails: + - The identity & contact details of the **data controller** + - The contact details of the **data protection officer** + - The **purpose of the processing** & the legal basis for the processing + - The recipients or categories of **recipients of the data** + - Details of any transfers out of the EEA, the safeguards in place, and the means by which to obtain a copy of them + - The **data retention** period or the criteria to determine the data retention period + - The **individual's rights** (access, rectification & erasure, restriction, complaint) + - What is **Purpose Limitation** in GDPR? #card + card-last-interval:: 75.28 + card-repeats:: 5 + card-ease-factor:: 2.66 + card-next-schedule:: 2023-01-25T17:31:58.536Z + card-last-reviewed:: 2022-11-11T11:31:58.537Z + card-last-score:: 5 + - You must be ^^clear about what your purposes for processing^^ are from the start. + - You must ^^record your purposes^^ as part of your documentation obligations and specify them in your privacy information for individuals. + - You ^^can only use the personal data for a new purpose^^ if it is either compatible with your original purpose, you get **consent**, or you have a **clear basis in law**. + - What is **Data Minimisation** in GDPR? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:46:12.936Z + card-last-reviewed:: 2022-11-14T16:46:12.936Z + card-last-score:: 5 + - You must ensure that the personal data that you are processing is: + - **adequate** - sufficient to properly fulfil your stated purpose + - **relevant** - has a rational link to that purpose + - **limited** to what is necessary - you do not hold more than what you need for your stated purpose + - What is **Accuracy** in GDPR? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:35:02.681Z + card-last-reviewed:: 2022-10-20T08:35:02.682Z + card-last-score:: 5 + - You should take all reasonable steps to ensure that the personal data you hold is ^^not incorrect or misleading^^ as to any matter of fact. + - You may need to ^^keep the personal data updated^^, although this will depend on what you are using it for. + - If you ^^discover that personal data is incorrect or misleading^^, you must take reasonable steps to correct or erase it as soon as possible. + - You must ^^carefully consider any challenges to the accuracy^^ of personal data. + - What is **Storage Limitation** in GDPR? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:37:31.248Z + card-last-reviewed:: 2022-11-14T16:37:31.249Z + card-last-score:: 5 + - You must not keep personal data for ^^longer than you need it^^. + - You need to think about - and be able to justify - ^^how long you keep personal data^^. This will depend on your purposes for holding the data. + - You need a policy ^^setting standard retention periods^^ wherever possible, to comply with documentation requirements. + - You should also ^^periodically review the data you hold^^, and erase or anonymise it when you no longer need it. + - You must ^^carefully consider any challenges to your retention of data^^. + - Individuals have a **right to erasure** if you no longer need the data. + - You can ^^keep personal data for longer^^ if you are only keeping it for ^^personal interest archiving, scientific or historical research, or statistical purposes.^^ + - What is **Accountability & Governance** in GDPR? #card + card-last-interval:: 28.93 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-13T14:49:09.573Z + card-last-reviewed:: 2022-11-14T16:49:09.573Z + card-last-score:: 5 + - **Accountability** is one of the **data protection principles** - it makes you responsible for complying with the GDPR and says that ^^you must be able to demonstrate your compliance.^^ + - You need to put in place appropriate technical & organisational measures to meet the requirements of accountability. + - Accountability requires controllers to maintain records of processing activities in order to demonstrate how they comply with the data protection principles, i.e.: + - Inventory of personal data + - Providing assurance of compliance + - Need to document + - Why it is held + - How it is collected + - When it will be deleted + - Who may gain access to it + - What is **Integrity & Confidentiality** in GDPR? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-16T15:43:04.896Z + card-last-reviewed:: 2022-10-19T08:43:04.897Z + card-last-score:: 5 + - A key principle of GDPR is that you process personal data ^^securely by means of "appropriate technical & organisational measures"^^ - this is the "**security principle**". + - Doing this requires you to consider things like ^^risk analysis, organisational policies, and physical + technical measures.^^ + - Where appropriate, you should look to use measures such as **pseudoanonymisation** and **encryption**. + - Your measures must ensure the ^^"confidentiality, integrity, & availability"^^ of your systems & services and the personal data you process with them. + - The measures must also enable you to ^^restore access & availability^^ to personal data in a timely manner in the event of a physical or technical incident. + - What is **Data Protection**? #card + card-last-interval:: 11.34 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-26T00:46:23.031Z + card-last-reviewed:: 2022-11-14T16:46:23.032Z + card-last-score:: 5 + - **Data Protection** is about an ^^individual's fundamental right to privacy.^^ + - When an individual gives their personal data to any organisation, the recipient has the duty to keep the data both safe & private. This applies to both printed & electronic data. + - What does Data Protection Legislation do? #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T16:40:10.475Z + card-last-reviewed:: 2022-11-14T16:40:10.475Z + card-last-score:: 5 + - Data Protection Legislation: + - governs the way we deal with personal data / information + - provides a mechanism for safeguarding the privacy rights of individuals in relation to the processing of their data + - upholds rights and enforces obligations + - What is **Personal Data**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:47:49.984Z + card-last-reviewed:: 2022-11-14T16:47:49.984Z + card-last-score:: 5 + - **Personal Data** is any information relating to an identified or ^^identifiable natural person^^ ("data subject"). + - What is an **identifiable natural person**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T02:44:34.994Z + card-last-reviewed:: 2022-11-14T16:44:34.995Z + card-last-score:: 5 + - An **identifiable natural person** is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier to one or more factors specific to the ^^physical, physiological, genetic, mental, economic, cultural, or social identity^^ of that natural person. + - What is **Data Processing**? #card + card-last-interval:: 54.82 + card-repeats:: 5 + card-ease-factor:: 2.42 + card-next-schedule:: 2023-01-08T15:21:19.993Z + card-last-reviewed:: 2022-11-14T20:21:19.993Z + card-last-score:: 5 + - **Data Processing** is ^^performing any operation on personal data^^, either manually or by automated means, including: + - Obtaining + - Storing + - Transmitting + - Recording + - Organising + - Altering + - Disclosing + - Erasing + - ### Entities in GDPR + - GDPR distinguishes between: + - The **Data Subject** + - The **Data Protection Officer (DPO)** + - The **Data Controller** + - The **Data Processor** + - + - What is the **Data Subject**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:52:24.372Z + card-last-reviewed:: 2022-11-14T16:52:24.372Z + card-last-score:: 5 + - The **Data Subject** is the person to whom the data relates. + - GDPR only applies to living individuals, but any duty of confidence in place prior to the death extends beyond that point. + - In Ireland, the next of kin of the deceased are entitled to a Freedom of Information request to the deceased's personal data. + - What is the **DPO**? #card + card-last-interval:: 11.34 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-26T00:46:36.130Z + card-last-reviewed:: 2022-11-14T16:46:36.130Z + card-last-score:: 5 + - The primary role of the **Data Protection Officer (DPO)** is to ^^ensure that their organisation processes the personal data of its staff, customers, and other data subjects in compliance with the applicable data protection rules.^^ + - The Data Protection officer is required to be an expert within this field, along with the requirement for them to report to the highest management level. + - With this being a challenging aspect of GDPR compliance for smaller organisations, there is the option to make an external appointment of a third-part DPO. + - When is the DPO a mandatory role? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-23T22:35:00.574Z + card-last-reviewed:: 2022-11-14T16:35:00.574Z + card-last-score:: 5 + - The DPO is a mandatory role within 3 different scenarios: + - 1. When the processing is undertaken by a public authority or body. + - 2. When an organisation's main activities require the frequent & large-scale monitoring of individual people. + - 3. Where large-scale processing of special categories of data or data relating to criminal records forms the core activities. + - What is the **Data Controller**? #card + card-last-interval:: 9.68 + card-repeats:: 3 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-24T08:43:13.191Z + card-last-reviewed:: 2022-11-14T16:43:13.191Z + card-last-score:: 5 + - The **Data Controller** is the company or an individual who ^^has overall control over the processing of personal data.^^ + - The Data Controller takes on the responsibility for GDPR compliance. + - A Data Controller needs to have had sufficient training and to be able to competently ensure the security & protection of data held within the organisation. + - What is the **Data Processor**? #card + card-last-interval:: 4.28 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-23T00:35:18.504Z + card-last-reviewed:: 2022-11-18T18:35:18.505Z + card-last-score:: 5 + - The **Data Processor** is the person who is ^^responsible for the processing of personal information.^^ + - Generally, this role is undertaken under the instruction of the **data controller**. + - This might mean obtaining or recording the data, its adaption, and use. It may also include the disclosure of the data or making it available to others. + - Generally, the Data Processor is involved in the more technical elements of the operation, while the interpretation & main decision-making is the role of the Data Controller. + - + - ### Cloud Services & GDPR + - What makes a **Cloud Service Provider** a **Data Processor**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T06:06:16.813Z + card-last-reviewed:: 2022-11-14T20:06:16.814Z + card-last-score:: 5 + - A **Cloud Service Provider** will be considered a **Data Processor** under GDPR if it provides **data processing services** (e.g., storage) on behalf of the **Data Controller** ^^even without determining the purposes & means of processing.^^ + - A Cloud Service Provider that offers personal data processing services directly to Data Subjects will be considered a **Data Controller**. + - What are some key benefits of GDPR for Data Subjects? #card + collapsed:: true + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T16:40:34.643Z + card-last-reviewed:: 2022-11-14T16:40:34.643Z + card-last-score:: 5 + - More information must be given to data subjects (e.g., how long the data will be kept, right to lodge a complaint). + - The Data Controller must explain & document the legal basis for processing the personal data. + - GDPR tightens the rules on how consent can be obtained. + - Must be distinguishable from other matters and in clear, plain language. + - It must be as easy to withdraw consent as it is to give it. + - Mandatory notification of security breaches without "undue delay" to the Data Protection Commissioner (within 72 hours). + - What are some key rights of Data Subjects? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-26T06:18:29.246Z + card-last-reviewed:: 2022-11-14T20:18:29.246Z + card-last-score:: 5 + - Right of Access (copy to be provided within one month) + - Right to Erasure (the right to be forgotten) + - Right to Restriction of Processing + - Right to Object to Processing + - Right not to be subject to a decision based solely upon automated processing + - What are **Personal Data Security Breaches**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:32:03.843Z + card-last-reviewed:: 2022-10-20T08:32:03.844Z + card-last-score:: 5 + - **Personal Data Security Breaches** include: + - Disclosure of confidential data to unauthorised individuals. + - Loss or theft of data or equipment upon which data is stored. + - Hacking, viruses, or other security attacks on IT equipment / systems / networks. + - Inappropriate access controls allowing unauthorised use of information. + - Emails containing personal data sent in error to the wrong recipient. + - Personal Data Security Breaches apply to both paper & electronic records. +- +- ## HTTP Cookies + - What is a **(HTTP) Cookie**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-23T22:35:54.977Z + card-last-reviewed:: 2022-11-14T16:35:54.977Z + card-last-score:: 5 + - A **(HTTP) Cookie** is a small piece of data stored on the user's computer by the web browser while browsing a website. + - Cookies were designed to be a reliable mechanism for websites to remember stateful information (such as items in the shopping cart in an online store) or to record the user's browsing activity. + - They can be also be used to remember pieces of information that the user previously entered into form fields. + - **Authentication Cookies** are the most common method used by web servers to know whether the user is logged in or not, and which account they are logged into. + - + - #### Cookie Implementation + - How are cookies implemented? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T11:27:17.132Z + card-last-reviewed:: 2022-11-14T16:27:17.133Z + card-last-score:: 5 + - Cookies are ^^arbitrary pieces of data^^ (i.e., large, random strings), usually chosen & first sent by the web server, and stored on the client computer by the web browser. + - The browser then sends them back to the server with every request. + - Browsers are required to: #card + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-11-17T11:25:54.217Z + card-last-interval:: 2.8 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-11-14T16:25:54.218Z + - support cookies as large as 4,906 bytes in size + - support at least 50 cookies per domain + - support at least 3,000 cookies in total + - + - #### Cookie Structure + - What are the components of a cookie? #card + card-last-interval:: 8.35 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-29T21:09:38.375Z + card-last-reviewed:: 2022-11-21T13:09:38.376Z + card-last-score:: 5 + - A cookie consists of the following components: + - Name + - Value + - Zero or more attributes (name - value pairs). These attributes store information such as the cookie's expiration, domain, and flags (such as *Secure* and *HttpOnly*) + - + - ### Session Cookies + - What is a **session cookie**? #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T16:40:31.570Z + card-last-reviewed:: 2022-11-14T16:40:31.571Z + card-last-score:: 5 + - A **session cookie** (aka in-memory cookie, transient cookie, or non-persistent cookie) is a cookie that ^^exists only in temporary memory while the user navigates its website.^^ + - Web browsers normally delete session cookies when the user closes the browser. + - Session cookies do not have an expiration date assigned to them, which is how the browser know to treat them as session cookies. + - + - + - ### Persistent Cookies + - What is a **persistent cookie**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-04T21:33:28.732Z + card-last-reviewed:: 2022-11-11T11:33:28.733Z + card-last-score:: 5 + - A **persistent cookie** is a cookie which ^^expires at a specific data or after a specific length of time.^^ + - A persistent cookie's information will be transmitted to the server every time the user visits the website that the cookie belongs to, for the lifespan of the persistent cookie (as set by its creator), or every time that the user views a resource belonging to that website from another website (such as an advertisement). + - + - Persistent cookies are sometimes referred to as **tracking cookies** because they can be used by advertisers to record information about a user's web browsing habits. + - However, tracking cookies are mainly used for legitimate reasons, such as keeping users logged into their accounts on website to avoid re-entering login credentials at every visit. + - + - ### Cookie Attributes + - Consider the following response header sent by a webserver that contains 3 persistent cookies: + - ![image.png](../assets/image_1662819462897_0.png) + - What do the *Domain* and *Path* attributes do? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-18T18:45:59.521Z + card-last-reviewed:: 2022-11-09T12:45:59.521Z + card-last-score:: 3 + - The *Domain* and *Path* attributes define the cookie's scope. + - What does the *Secure* attribute do? #card + card-last-interval:: 84.1 + card-repeats:: 5 + card-ease-factor:: 2.76 + card-next-schedule:: 2023-02-06T22:21:24.146Z + card-last-reviewed:: 2022-11-14T20:21:24.147Z + card-last-score:: 5 + - The *Secure* attribute ensures that the cookie can only be transmitted over an **encrypted connection**, making it a "**secure cookie**". + - What does the *HttpOnly* attribute do? #card + card-last-interval:: 64.01 + card-repeats:: 5 + card-ease-factor:: 2.52 + card-next-schedule:: 2023-01-24T13:10:00.242Z + card-last-reviewed:: 2022-11-21T13:10:00.242Z + card-last-score:: 5 + - The *HttpOnly* attribute ^^directs cookies not to expose cookies through channels other than HTTP / HTTPS.^^ + - This means that this HttpOnly cookie cannot be accessed via client-side scripting languages (notably JavaScript). +- +- ## GDPR & Cookies + - Generally, a user's consent must be sought before a cookie is installed in a web browser. + - There are **two** expemptions: + - The **Communications Exemption** + - The **Strictly Necessary Exemption** + - + - What is the **Communications Exemption**? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-26T06:18:30.530Z + card-last-reviewed:: 2022-11-14T20:18:30.530Z + card-last-score:: 5 + - The **Communications Exemption** applies to cookies ^^whose sole purpose is for carrying out the transmission of a communication over a network^^, for example, to identify the communication endpoints. + - Cookies that meet these criteria are exempted from being required to ask for the user's consent prior to installation. + - **Example:** load-balancing cookies that distribute network traffic across different backend servers, also known as **session stickiness**. + - Here, a **load-balancer** creates an affinity between a client and a specific network server for the duration of a session using a cookie with a random & unique tracking ID. + - Subsequently, the load-balancer routes all the of the requests from this client to a specific backend server using the tracking ID, for the duration of the session. + - ![image.png](../assets/image_1662820187995_0.png){:height 426, :width 529} + - + - + - What is the **Strictly Necessary** exemption? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:34:39.740Z + card-last-reviewed:: 2022-10-20T08:34:39.740Z + card-last-score:: 5 + - The **Strictly Necessary** exemption exempts cookies that are strictly necessary to provide the service of delivered over the internet, i.e., a website or app from being required to ask the user's consent prior to installation. + - ^^This service must have been explicitly requested by the user (i.e., typing in the URL), and the use of the cookie must be restricted to what is strictly necessary to provide that service.^^ + - Cookies related to advertising are **not** strictly necessary, and must be consented to. + - Examples: + - A website uses session cookies to keep track of items that a user places in an online shopping basket (assuming that this cookie will be deleted once the session is over). + - Cookies that a record a user's language or country preference. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Hash Cracking Using Rainbow Tables.md b/second/semester1/logseq-stuff/pages/Hash Cracking Using Rainbow Tables.md new file mode 100644 index 00000000..d13ae0ae --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Hash Cracking Using Rainbow Tables.md @@ -0,0 +1,81 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[Human Security & Passwords]] +- **Next Topic:** [[Social Engineering]] +- **Relevant Slides:** ![ct255_05.pdf](../assets/ct255_05_1666008161657_0.pdf) +- +- # Hash Cracking + - Reverse-engineering a password involves reversing a one-way function, so it is not possible. + - But hash functions are public. + - ## Dictionary-Based Brute Force Search #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:09:33.480Z + card-last-reviewed:: 2022-11-14T20:09:33.481Z + card-last-score:: 5 + - Dictionary searches can be used to systematically identify a match for a given hash value. + - To do this, the underlying hash function must be known. + - Dictionaries are based on large word, phrase, or password collections. + - ### Pros + - Straightforward process. + - ### Cons + - Significant computational effort to find a match. + - No guaranteed result. + - ## Lookup Table Based Attacks #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T15:07:31.246Z + card-last-reviewed:: 2022-11-14T20:07:31.246Z + card-last-score:: 5 + - For a given hash function & dictionary: + - 1. Calculate the hash value for all dictionary entries. + 2. Add both values to a table (i.e., one line per entry). + 3. Sort the table (e.g., in ascending order of hash values). + - This table is also called a **lookup table**. + - The matching password for a given hash value can be recovered by systematically searching for it in a dictionary. + - ### Pros + - Such a table can be generated offline. + - The lookup process itself is fast (approx. $O(log_2(N))$) with **binary search**. + - A table containing 1.8E19 entries would require just 64 guesses to find (or not) the correct password for a given hash value. + - ### Cons + - Huge table, with no guaranteed result. + - Different table required for every hash function. + - ## Rainbow Tables + - Uses less computer processing time but more storage than a brute force attack. + - Uses more processing time but less storage than a simple lookup table. + - #### Pre-Computed Hash Chains + - Calculate long chains of hash values (using a hash value "->" and a reduction function + " -> ", e.g: + - aaaaaa -> 173bdfede2ee3ab3 -> jdjkuo -> 9fdde3a0027fbb36 -> ... -> k3rtol + - In this example, wes only consider passwords that are 6 characters long. + - Each chain starts with a random password & has a fixed length, e.g. 10,000 segments. + - Here, " -> " converts the 64-bit hash value into an arbitrary 6 byte long string. + - It is **not** an inverted hash function. + - We only store the first and the last value (starting point & end point). + - ### Chain Lookup + - Assume that we have a table with just 2 chains (with start & end values), and a hash value `759858fde66e8aa8` that we'd like to crack. + - ![image.png](../assets/image_1666614334301_0.png) + - We apply consecutively " -> " and "->" until we either: + - hit a known end value, or + - have repeated the operation $n$ times, where $n$ is the length of the chain. + - If we hit the known end value `prp56e`, we repeat the transformation starting with its start value, until we hit the `hfk39f` again. + - The password `delphi` that led to this hash is the solution. + - #### Chain Lookup Pseudocode + - 1. Input: Hash value $H$. + 2. Reduce $H$ into another plaintext $H$. + 3. Look for the plaintext $P$ in the list of final plaintexts (i.e., end values), if it is there, break out of the loop & go to step 6. + 4. If it isn't there, calculate the hash $H$ of the plaintext $P$. + 5. Go to step 2, unless you've done the maximum number of iterations. + 6. If $P$ matches one of the final plaintexts, you've got a matching chain; in this case, walk through the chain again starting with the corresponding start value, until you find the text that translates into $H$. + - ### Chain Collisions + - Consider the following scenario: + - ![image.png](../assets/image_1666615503819_0.png) + - Two chains merge because either: + - the reduction function translates two different hashes into the same password, or + - the hash function translates two different passwords into the same hash (which should not happen) + - Because of collisions, there is no guarantee that you chains will ever cover all possible passwords. + - **Rainbow Tables** effectively solve the problem of collisions with ordinary hash chains by replacing the single reduction function $R$ with a sequence of related reductions functions $R$ through $R_k$ (one reduction function per column). + - In this way, for two chains to collide & merge they must hit the same value on the same iteration, which is rather unlikely. + - ### Perfect & Imperfect Rainbow Tables + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Human Security & Passwords.md b/second/semester1/logseq-stuff/pages/Human Security & Passwords.md new file mode 100644 index 00000000..cc553f15 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Human Security & Passwords.md @@ -0,0 +1,87 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[Introduction to Cryptography]] +- **Next Topic:** [[Hash Cracking Using Rainbow Tables]] +- **Relevant Slides:** ![ct255_03.pdf](../assets/ct255_03_1664798420872_0.pdf) +- +- What is a **password**? #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-25T06:28:38.024Z + card-last-reviewed:: 2022-11-14T16:28:38.024Z + card-last-score:: 5 + - A **password** is a memorised secret used to confirm the identity of a user. + - Typically, an arbitrary string of characters including letters, digits, or other symbols. + - A purely numeric secret is called a **Personal Identification Number (PIN)**. + - The secret is memorised by a party called the **claimant** while the party verifying the identity of the claimant is called the **verifier**. + - The claimant & the verifier communicate via an **authentication protocol**. +- # Some Password Alternatives + - One-Time Password (OTP). + - Transaction Authentication Number (TAN) list used for online banking - they can only be used once. + - Time-synchronised one-time passwords. + - Biometric methods. + - Fingerprints, irises, voice, face. + - Cognitive passwords. + - Use question & answer cue/response pairs to verify identity. +- +- # Algorithmic Generation of OTP + - Paper-based TANs are hard to manage -> both the claimant and the verifier need to have a copy of every OTP (possibly hundreds of them). + - Idea: each OTP may be created from the passt OTPs used. + - An example of this type of algorithm, credited to Leslie Lamport, uses a **one-way function** (hash function). + - ## One-Way Functions + - What is a **hash function**? #card + card-last-interval:: 29.99 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-14T19:04:01.691Z + card-last-reviewed:: 2022-11-14T20:04:01.691Z + card-last-score:: 5 + - A **one-way function** $H$ produces a fixed-size output $h$ based on a variable size input $s$. + - $$H(s) = h$$ + - $H$ is also called a **hash function**, $h$ is called a **hash** (value). + - Important: *one-way property*: + - For a given hash code $h$, it is infeasible to find $s$ that $H(s) = h$. + - ### Leslie Lamport's Algorithm #card + card-last-interval:: 7.8 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-22T15:17:39.453Z + card-last-reviewed:: 2022-11-14T20:17:39.454Z + card-last-score:: 5 + - For every claimant, a random seed (starting value) $s$ is chosen. + - A hash function $H(s)$ is applied repeatedly (e.g., 1,000 times) to the seed, giving a value of: + - $$H(H(H(...(H(s)....))))$$ + - The user's first login uses an OTP $p$ derived by applying $H$ 999 times to the seed, i.e., $H^{999}(s)$. + - The verifier can authenticate that this is the correct OTP, because $H(p) = H^{1000}(s)$, the value stored. + - The value stored is then replaced by $p$ and the user is allowed to log in. + - The next login must be accompanied by $H^{998}(s)$. + - Again, this can be validated because hashing gives $H^{999}(s)$ which is $p$, the value stored after the previous login. + - The new value replaces $p$ and the user is authenticated. + - This process can be repeated another 997 times, each time the password will be $H$ applied one fewer times. + - ### Time-Synchronised OTP #card + card-last-interval:: 8.63 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-20T02:38:06.966Z + card-last-reviewed:: 2022-11-11T11:38:06.967Z + card-last-score:: 5 + - Each user has a unique piece of hardware called a **security token** that generates an OTP (e.g., mobile phone). + - Inside the token is an accurate clock that has been synchronised with the clock of the verifer. + - Both claimant token and verifier server calculate identical OTPs that are based on time. + - ![image.png](../assets/image_1664799869963_0.png) +- +- # Some New Biometric Methods + - **Hand geometry:** Measurement & comparison of the (unique) different physical characteristics of the hand. + - **Palm vein authentication:** Uses an infrared beam to penetrate the user's hand as it is waved over the system; the veins within the palm are returned as black lines. + - **Retina scan:** Provides an analysis of the capillary blood vessels located in the back of the eye. + - **Iris scan:** Provides an analysis of the rings, furrows, & freckles in the coloured ring that surrounds the pupil of the eye. + - Face recognition, signature, & voice analysis. + - **Behavioural biometrics:** + - ![image.png](../assets/image_1664800188644_0.png) +- +- # Multi-Factor Authentication + - This may include a combination of the following: + - Some physical object in the possession of the user, e.g., a USB stick with a secret token, a bank card, a key, etc. + - Some secret known only to the user, such as a password, PIN, TAN, etc. + - Some physical characteristic of the user (biometrics), such as a fingerprint, eye iris, voice, typing speed, pattern in key press intervals, etc. + - Somewhere you are, such as connection to a specific computing network or utilising a GPS signal to identify the location. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Hypothesis Testing.md b/second/semester1/logseq-stuff/pages/Hypothesis Testing.md new file mode 100644 index 00000000..eb184459 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Hypothesis Testing.md @@ -0,0 +1,146 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Sampling Distributions & Confidence Intervals]] +- **Next Topic:** [[Correlation & Linear Regression]] +- **Relevant Slides:** ![Lecture 10- Hypothesis tests(1).pdf](../assets/Lecture_10-_Hypothesis_tests(1)_1667837679625_0.pdf) +- +- What is a **hypothesis test**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:21:16.988Z + card-last-score:: 1 + - A **hypothesis test** is intended to assess whether a population **parameter** of interest is equal to some specified value of direct interest to the researcher. + - Hypothesis tests are structured in a very specific manner. + - The CLT and t-distribution provide the framework for assessing if the sample mean is not the same as the proposed parameter mean. +- # Null & Alternative Hypotheses #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T11:15:25.890Z + card-last-reviewed:: 2022-11-14T16:15:25.891Z + card-last-score:: 5 + - The **null hypothesis** is a claim to be tested - often the sceptical claim of "no effect", i.e.: + - $$H_0 : \mu = \mu_0$$ + - The **alternative hypothesis** is an alternative claim under consideration, often represented by a range of parameter values, i.e.: + - $$H_1 : \mu \neq \mu_0$$ + - We only reject the null in favour of the alternative if there is strong supporting evidence. + - We decide *a priori* how much evidence is "strong" enough to reject the null. +- # Stages in Hypothesis Testing #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:53:56.498Z + card-last-score:: 1 + - 1. **Null Hypothesis:** The hypothesis that the population parameter is equal to some claimed value ($H_0$). + 2. **Study** or **Alternative Hypothesis:** The hypothesis that must be true if the null hypothesis is false ($H_1$). + 3. Collect appropriate data. + 4. ^^Assess, through a **test statistic**, how probable (the p-value) it would be to observe data as or more extreme than the data actually collected if, in fact, the null hypothesis was **true**.^^ + 5. Come to a conclusion whether or not to reject the null hypothesis. + - ## Rejecting / Not Rejecting the Null + - If we do not reject the null hypothesis in favour of the alternative, we are saying that the effect indicated by the sample is due only to sampling variation. + - If we do reject the null hypothesis in favour of the alternative, we are saying that the effect indicated by the sample is real, in that it is more than can be attributed to sampling variation. +- # Formal Testing Using p-values + - What is the **p-value**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:36:35.132Z + card-last-score:: 1 + - The **p-value** is the ==probability of observing data at least as favourable to the alternative hypothesis== as our current data set, if the null hypothesis is true. + - The **p-value** is a way of quantifying the strength of the evidence against the null hypothesis and in favour of the alternative. Formally, the p-value is a conditional probability. + - The smaller the p-value, the stronger the data favours $H_1$ over $H_0$. A small p-value (usually < 0.05) corresponds to sufficient evidence to reject $H_0$ in favour of $H_1$. +- # One-Sample Tests for the Population Mean + - ## Steps #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:16:23.254Z + card-last-score:: 1 + - 1. Specify the hypotheses about $\mu$. + 2. Calculate a **test statistic** - based on the sampling distribution of the sample mean. + 3. See how extreme the test statistic is if the null hypothesis was true - compare the test statistic with the t or Normal Distribution. + 4. Make a decision: reject the null, or fail to reject it. + - ## Strategy #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:13:48.280Z + card-last-score:: 1 + - If the sample came from the population in question, the sample mean should be "close" to the population mean in question. + - "Close" needs to take into account the sample size used and the variability in the measure (i.e., the standard error). + - For testing means, the ((6356abee-cb6a-48c5-8f8b-72122b6099eb)) or t-distribution (or the bootstrap) is key. + - ## Conditions + - **Independence:** Random samples / assignment. + - **Normality:** For small samples where we use the t-distribution, we require the observations to be approximately normally distributed. For larger ($n \geq 30$) samples with no extreme skew we can use the CLT and do not require the observations to be normally distributed. + - ## p-values & ($\alpha$) Significance Levels #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T15:23:09.685Z + card-last-reviewed:: 2022-11-14T16:23:09.685Z + card-last-score:: 3 + - A p-value $\leq 0.05$ is (typically) considered as sufficient evidence against a null hypothesis (i.e., sufficient evidence to reject the null). + - If the p-value for the test of a parameter with 2-sided alternative is $< 0.05$, the 95% Confidence Interval will not include the parameter. + - A p-value is **not** the probability of the null hypothesis being true given the data observed - It is the probability of observing such data (or more extreme data) given that the null hypothesis is actually true. + - A **non-significant test** does not imply that the null hypothesis is true - It actually means that ==we do not have enough evidence to reject the null hypothesis.== + - A **significant** result does not mean that the alternative hypothesis is true - It means that we have ==enough evidence to reject the null.== + - ### Statistical Signifance + - Whenever the p-value is less than a particular threshold, the result is said to be **statistically significant** at that level. + - The threshold should be decided *a priori*, before you calculate the test statistic. + - For example, if the threshold is $p \leq 0.05$, the result is statistically significant at the 5% level; if $p \leq 0.01$, the result is statistically significant at the 1% level, and so on. + - If a result is statistically significant at the $100\alpha\%$ level, we can also say that the null hypothesis is "rejected at level $100\alpha\%$ + - ### Example: Golf Club Design + - An experiment was performed in which 15 drivers produced by a particular club-maker were selected at random, and their coefficients of restitution measured. It is of interest to determine if there is evidence (with $\alpha = 0.05$ significance level) to support a claim that the mean coefficient of restitution *exceeds* 0.82. + background-color:: green + - The sample mean & sample standard deviation are $\bar x = 0.83725$ & $s = 0.02456$. + background-color:: green + - The objective of the experimenter is to demonstrate that the mean coefficient of restitution exceeds 0.82, hence, a one-sided alternative hypothesis is appropriate. + - The **parameter of interest** is the mean coefficient of restitution, $\mu$. + - The **null hypothesis** is $H_0: \mu = 0.82$. + - The **alternative hypothesis** is $H_1: \mu > 0.82$. + - We decide *a priori* that we will reject $H_0$ is the p-value is $< 0.05$. + - The **test statistic** is + - $$T_0 = \frac{\bar X - \mu_0}{S / \sqrt{n}}$$ + - **Computations:** Since $\bar x = 0.83725, s = 0.02456, \mu = 0.82,$ and $n = 15$, our observed test statistic is + - $$t_0 = \frac{0.83725 - 0.82}{0.02456 / \sqrt{15}} = 2.72$$ + - ![image.png](../assets/image_1668153745659_0.png) + - **Conclusions:** The probability of observing such data (or more extreme data) if the null hypothesis is true is less than 0.008. + - **Interpretation:** There is strong evidence ($p = 0.008$) to conclude that the mean coefficient of restitution exceeds 0.82. + - A CI would give an interval estimate as to what it actually is. + - ## Connection Between Hypothesis Tests & Confidence Intervals + - A close relationship exists between the test of a hypothesis for $\theta$ & the confidence interval for $\theta$. + - If $[I, u]$ is a 95% confidence interval for the parameter $\theta$, the test of the null hypothesis against a 2-sided alternative at the 0.05 significance level + - $$H_0: \theta = \theta_0$$ + - $$H_1: \theta \neq \theta_0$$ + - will lead to rejection of $H_0$ if and only if $\theta_0$ is **not** in the 95% CI $[I,u]$. + - +- # Decision Errors + - What is a **type 1 error**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:53:18.720Z + card-last-score:: 1 + - A **type 1 error** is rejecting the null hypothesis when $H_0$ is true. + - ### Type 1 Error Rate + - As a general rule, we reject $H_0$ if the p-value is less than 0.05, i.e., we use a **significance level** of 0.05, $\alpha = 0.05$. + - This means that, for those cases where $H_0$ is actually true, we do not want to incorrectly reject it more than 5% of the times. + - In other words, when using a 5% significance level, there is about a 5% chance of making a Type 1 Error if the null hypothesis is true. + - $$P(\text{Type 1 Error}) = \alpha$$ + - $$P(\text{Reject }H_0 | H_0 \text{ true}) = \alpha$$ + - This is why we prefer small values of $\alpha$ - increasing $\alpha$ increases the Type 1 Error rate. + - What is a **type 2 error**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T10:54:03.881Z + card-last-reviewed:: 2022-11-14T15:54:03.881Z + card-last-score:: 5 + - A **type 2 error** is failing to reject the null hypothesis when $H_A$ is true. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Interfaces.md b/second/semester1/logseq-stuff/pages/Interfaces.md new file mode 100644 index 00000000..5a74a199 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Interfaces.md @@ -0,0 +1,57 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Abstraction & Polymorphism]] +- **Next Topic:** [[Static Fields & Exceptions]] +- **Relevant Slides:** ![Lecture-15__2022.pdf](../assets/Lecture-15_2022_1666857889307_0.pdf) ![Lecture-16__2022.pdf](../assets/Lecture-16_2022_1666857979984_0.pdf) +- +- # Multiple Inheritance + - What is **multiple inheritance**? #card + card-last-interval:: 3.05 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T21:22:31.707Z + card-last-reviewed:: 2022-11-14T20:22:31.708Z + card-last-score:: 5 + - **Multiple inheritance** is where a class has multiple simultaneous superclasses. + - However, Java does not support multiple inheritance as it has led to major problems in OOP due to conflicting field & method implementations inherited from superclasses. +- # Interface + - What is an **interface**? #card + card-last-interval:: 3.05 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T21:25:49.658Z + card-last-reviewed:: 2022-11-14T20:25:49.659Z + card-last-score:: 5 + - Java uses a structure called an **interface** to achieve a form of *multiple inheritance*. + - An interface is like a class, but it is really more like ==an outline of what methods a class should have.== + - Like a class, an interface can be used as a **type**. + - By convention, interface names often end in -`able`. + - While a class can only extend one super class (direct inheritance), a class can implement multiple interfaces. + - ## Examples + - ```java + public interface Eatable + { + public int getCalories(); // note: method definitions have no body + public int extractEnergy; + } + ``` + - ```java + public class Canary extends Bird implements Food, Comparable() .... + ``` + - What does it mean if a class implements an interface? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T15:21:59.543Z + card-last-reviewed:: 2022-11-14T16:21:59.544Z + card-last-score:: 3 + - 1. Any class that implements said interface can be treated as that interface's type (polymorphism). + 2. Any class that implements that interface *must* provide **concrete implementations** of its method. + - ## Interface VS Abstract + - ### Similarities + - Both can be used to provide "templates" for what subclasses can implement. + - An abstract method plays the same role as an interface method - both *must* be implemented in concrete form by a subclass. + - An abstract class and an Interface can be used as the **type** for a reference variable. + - ### DIfferences + - An abstract class is used for class inheritance purposes - providing an abstract structure that subclasses inherit. Therefore, the subclasses have a lot in common. + - However, an interface is often used to impose common functionality on classes that have nothing in common. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Introduction to Agile Methods.md b/second/semester1/logseq-stuff/pages/Introduction to Agile Methods.md new file mode 100644 index 00000000..676d434c --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Introduction to Agile Methods.md @@ -0,0 +1,101 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Software Processes]] +- **Next Topic:** [[SCRUM Roles & Ceremonies]] +- **Relevant Slides:** ![Week 3 - Introduction to Agile Methods - Scrum(1).pdf](../assets/Week_3_-_Introduction_to_Agile_Methods_-_Scrum(1)_1663848442133_0.pdf) +- +- # Software Development Lifecycle + - What is the **Software Lifecycle**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-22T18:34:10.895Z + card-last-reviewed:: 2022-11-18T18:34:10.895Z + card-last-score:: 5 + - The **software lifecycle** is an abstract representation of a software process. It defines the steps, methods, tools, activities, and deliverables of a software development project. + - The following **lifecycle phases** are considered: + - 1. Requirement Analysis + 2. System Design + 3. Implementation + 4. Integration & Deployment + 5. Operation & Maintenance + - ## SDLC Limitations + - Classical project planning methods have a lot of disadvantages: + - Huge efforts during the planning phase (requirements + design). + - Poor requirements conversion in a rapidly changing environment. + - Treatment of staff as a factor of production. +- +- # Agile + - What is **Agile**? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-23T22:34:56.520Z + card-last-reviewed:: 2022-11-14T16:34:56.520Z + card-last-score:: 5 + - There is no single definition of Agile, but the Agile Manifesto is the closest to a defintion. + - Set of principles. + - Developed by Agile Alliance. + - Agile methods focus on: + - Individuals & interactions over processes & tools. + - Working software over comprehensive documentation. + - Customer collaboration over contract negotiation. + - Responding to change over following a plan. + - The [Agile Alliance](www.agilealliance.org) is a non-profit organisation promotes agile development. + - ## Agile Motivation + - Agile proponents argue: + - Software development processes relying on lifecycle models are too heavyweight or cumbersome. + - Too many things are done that are not directly related to the software product being produced, i.e., design, models, requirements docs, documentation that isn't shipped as part of the product. + - Difficulty with incomplete or changing requirements. + - Short development cycles (Mobile Apps). + - More active customer involvement needed. + - There are several Agile methods, including **Scrum** and **Extreme Programming (XP)**. + - ## SCRUM + - What is **Scrum**? #card + card-last-score:: 5 + card-repeats:: 4 + card-next-schedule:: 2022-12-06T08:19:38.287Z + card-last-interval:: 21.53 + card-ease-factor:: 2.32 + card-last-reviewed:: 2022-11-14T20:19:38.287Z + - **Scrum** is an agile project management methodology for managing product development. + - It allows us to rapidly and repeatedly inspect actual working software (every two weeks to one month). + - The business sets the priorities. The teams **self-manage** to determine the best way to deliver the highest priority features. + - Every two weeks to a month, anyone can see real, working software and decide to release it as is or continue to enhance it for another iteration. + - ### Characteristics of Scrum #card + card-last-score:: 3 + card-repeats:: 3 + card-next-schedule:: 2022-11-19T18:30:55.633Z + card-last-interval:: 8.32 + card-ease-factor:: 2.08 + card-last-reviewed:: 2022-11-11T11:30:55.634Z + - Self-organising teams. + - No need for project manager (in theory). + - Product progresses in a series of month-long or biweekly **sprints**. + - Assumes that the software cannot be well defined and requirements will change frequently. + - Requirements are captured as items in a list of **product backlog**. + - No specific engineering practices prescribed. + - XP, TDD, FDD. + - Best approach is to start with Scrum and then invent your own version using XP, TDD< FDD, etc. + - ### Daily SCRUM / Standup #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-21T00:50:15.178Z + card-last-reviewed:: 2022-11-17T09:50:15.179Z + card-last-score:: 5 + - Parameters: + - Daily. + - 15-minutes. + - Stand-up. + - **Not** for problem solving. + - Only team members, Scrum Master, & Product Owners should talk. + - Should help to avoid additional unnecessary meetings. + - Commitment in front of peers to complete tasks. + - ^^Answer 3 questions:^^ + - ^^What did you do yesterday?^^ + - ^^What will you do today?^^ + - ^^Is anything in your way?^^ + - The Daily SCRUM is **not** a problem-solving session and is **not** a way to collect information about who is behind the schedule. + - It is a meeting in which members make commitments to each other and to the SCRUM Master. + - It is a good way for a SCRUM Master to track the progress of the team. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Introduction to Cryptography.md b/second/semester1/logseq-stuff/pages/Introduction to Cryptography.md new file mode 100644 index 00000000..f0cf4160 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Introduction to Cryptography.md @@ -0,0 +1,316 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[GDPR]] +- **Next Topic:** [[Human Security & Passwords]] +- **Relevant Slides:** ![ct255_02.pdf](../assets/ct255_02_1663458790357_0.pdf) + id:: 63265db7-1d41-44f7-b4cf-0bab377a7c1c +- +- ## SQL Injections + - What is an **SQL Injection**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-09T18:33:16.312Z + card-last-reviewed:: 2022-11-11T11:33:16.312Z + card-last-score:: 5 + - An **SQL Injection** is a ***code injection technique*** used to attack data-driven applications, in which malicious SQL statements are inserted for execution. + - It is a way of exploiting user input & SQL statements to compromise the database & retrieve sensitive data. +- +- ## Basic Terminology + - What is **Cryptography**? #card + card-last-interval:: 108 + card-repeats:: 5 + card-ease-factor:: 3 + card-next-schedule:: 2023-03-06T18:36:41.369Z + card-last-reviewed:: 2022-11-18T18:36:41.370Z + card-last-score:: 5 + - **Cryptography** is the art of encompassing the principles & methods of transforming an intelligible message into one that is unintelligible, and then retransforming that message back into its original form. + - What is **Plaintext**? + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-17T21:24:55.999Z + card-last-interval:: 11.2 + card-ease-factor:: 2.8 + card-last-reviewed:: 2022-10-06T17:24:55.999Z + - **Plaintext** is the ^^original, intelligible message.^^ + - What is **Ciphertext**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-18T14:39:00.206Z + card-last-reviewed:: 2022-10-07T10:39:00.207Z + card-last-score:: 5 + - **Ciphertext** is the encrypted messsage. + - What is a **Cipher**? #card + card-last-interval:: 11 + card-repeats:: 3 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-25T16:46:20.520Z + card-last-reviewed:: 2022-11-14T16:46:20.520Z + card-last-score:: 5 + - A **Cipher** is an algorithm for transforming an intelligible message into one that is unintelligible. + - What is a **Key**? #card + card-last-interval:: 9.68 + card-repeats:: 3 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-24T08:37:27.630Z + card-last-reviewed:: 2022-11-14T16:37:27.630Z + card-last-score:: 5 + - A **Key** is some critical information used by the cipher, known only to the sender & receiver, selected from a **keyspace** (the set of all possible keys). + - What does **Encipher** mean? + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-17T21:14:43.789Z + card-last-interval:: 11.2 + card-ease-factor:: 2.8 + card-last-reviewed:: 2022-10-06T17:14:43.790Z + - **Enciphering** is the process of converting plaintext into ciphertext using a cipher & a key. + - What does **Decipher** mean? + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-04T12:09:14.829Z + card-last-reviewed:: 2022-09-30T12:09:14.829Z + card-last-score:: 5 + - **Deciphering** is the process of converting ciphertext back into plaintext using a cipher & a key. + - What is **Encryption**? #card + card-last-score:: 5 + card-repeats:: 4 + card-next-schedule:: 2022-12-08T06:02:35.168Z + card-last-interval:: 23.43 + card-ease-factor:: 2.42 + card-last-reviewed:: 2022-11-14T20:02:35.168Z + - **Encryption** is some mathematical function $E_K()$ mapping plaintext $P$ to ciphertext $C$ using the specified key $K$. + - $$E_K(P) = C$$ + - What is **Decryption**? #card + card-last-interval:: 9.68 + card-repeats:: 3 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-24T08:49:17.364Z + card-last-reviewed:: 2022-11-14T16:49:17.365Z + card-last-score:: 5 + - **Decryption** is some mathematical function ${E_K}^{-1}()$ mapping the ciphertext $C$ to plaintext $P$ using the specified key $K$. + - $$P={E_K}^{-1}(C)$$ + - What is **Cryptanalysis**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-16T15:43:11.780Z + card-last-reviewed:: 2022-10-19T08:43:11.781Z + card-last-score:: 3 + - **Cryptanalysis** is the study of principles & methods of transforming an unintelligible message into an intelligible message without knowledge of the key. + - What is **Cryptology**? + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-10-16T16:40:03.776Z + card-last-reviewed:: 2022-10-07T10:40:03.777Z + card-last-score:: 5 + - **Cryptology** is the field encompassing both cryptography & cryptanalysis. + - +- +- ## Model of Conventional Cryptosystem + - ![image.png](../assets/image_1663459919021_0.png){:height 304, :width 610} +- ## Cryptanalysis via Letter Frequency Distribution + - Human languages are **redundant** - letters are not equally commonly used. + - In the **English** language: + - **E** is by far the most common letter followed by T, R, N, I, O, A, and S. + - Other letters like Z, J, K, Q, and X are fairly rare. + - Certain letter combinations like **TH** are quite common. + - ![image.png](../assets/image_1663488626792_0.png) + - + - ### C Program for Frequency Analysis of single Characters + - ```c + #include + #include + #include + + int main(int argc, char* argv[]) { + FILE* fp; + int data[26]; + char c; + + memset(data, 0, siezof(data)); + + if (argc != 2) { + return(-1); + } + if (fp = fopen(argv[1], "r" == NULL)) { + return(-2); + } + + while(!feof(fp)) { + c = toupper(fgetc(fp)); + + if ((c >= 'A') && (c <= 'Z')) { + data[c-65]++; + } + } + + for (int i = 0; i < 26; i++) { + printf("%c:%i\n", i+65, data[i]); + } + + fclose(fp); + return(0); + } + ``` +- ## Known Plaintext Attacks (KPA) + - What is a **Known Plaintext Attack (KPA)**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T03:02:00.417Z + card-last-reviewed:: 2022-11-14T20:02:00.417Z + card-last-score:: 5 + - The **Known Plaintext Attack (KPA)** is an attack model for cryptanalysis where the attacker has access to both: + - some of, or all of, the plaintext (called a **crib**) + - the ciphertext + - +- +- ## Caesar Cipher + - What is a **Caesar Cipher**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:04:27.582Z + card-last-reviewed:: 2022-11-14T20:04:27.582Z + card-last-score:: 5 + - A **Caesar Cipher** involves using an offset alphabet to encrypt a message. + - We can use any shift from 1 to 25 to replace each plaintext letter with a letter a fixed distance away. + - The **key letter** represents the start of this offset alphabet. + - For example, a key letter of F means that A -> F, B -> G, and so on. +- ## Playfair Cipher + - Not even the large number of keys in a monoalphabetic cipher provides security. + - What is a **monoalphabetic cipher**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T03:02:37.487Z + card-last-reviewed:: 2022-11-14T20:02:37.488Z + card-last-score:: 5 + - A **monoalphabetic cipher** is any cipher in which the letters of the plaintext are mapped to ciphertext letters based on a single alphabetic key. + - One approach to improving security over monoalphabetic ciphers is to to encrypt ^^multiple letters.^^ + - The **Playfair Cipher** is one example of such an approach. + - The algorithm was invented by Charles Wheatstone in 1854, but named after his friend Baron Playfair. + - ### How does the Playfair Cipher work? + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-10-08T00:33:19.557Z + card-last-interval:: 3.51 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-04T12:33:19.558Z + - ![image.png](../assets/image_1663491286810_0.png) + - 1. Create a 5x5 grid of letters; insert the keyword as shown, with each letter only considered once; fill the grid with the remaining letters in alphabetic order. + - 2. The letters are then encrypted in pairs. + - 3. Repeats have an "X" inserted. + - BALLOON -> BA LX LO ON + - 4. Letters that fall in the same row are replaced with the letter on the right. + - OK -> GM + - 5. Letters in the same column are replaced with the letter below. + - FO -> OU + - 6. Otherwise, each letter gets replaced by the letter in its row but in the other letters column. + - QM -> TH + - ### Security of the Playfair Cipher + - The security is much improved over simple monoalphabetic ciphers, as the Playfair Cipher has $26^2 = 676$ combinations. + - This requires a 676 entry frequency table to analyse (as compared to a 26 entry frequency table for a monoalphabetic cipher) and correspondingly, more ciphertext. + - However, the Playfair Cipher *can* be cracked through frequency analysis of letter pairs, given a few hundred letters. + - +- ## Vigenère Cipher + - [Blaise de Vigenère](https://en.wikipedia.org/wiki/Blaise_de_Vigen%C3%A8re) is generally credited as the inventor of the **Polyalphabetic Substitution Cipher**. + - What is a **Polyalphabetic Substitution Cipher**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-25T20:35:52.727Z + card-last-reviewed:: 2022-11-14T16:35:52.727Z + card-last-score:: 5 + - A **Polyalphabetic Substitution Cipher** uses multiple substitution alphabets, as opposed to a monoalphabetic cipher which uses a single alphabetic key. + - The Vigenère Cipher improves security by using many monoalphabetic substitution alphabets, so each letter can be replaced by many others. + - You use a **key** to select which alphabet is used for each letter of the message. + - The $i^{th}$ letter of the key specifies the $i^{th}$ alphabet to use. + - Use each alphabet in turn. + - Repeat from the start after the end of the key is reached. + - + - ### Vigenère Steps + - ![image.png](../assets/image_1663494147352_0.png) + - 1. Write the plaintext out, and write the keyword underneath it, repeated, for the length of the plaintext. + - 2. Use each key letter in turn as a Caesar cipher key. + - 3. Encrypt the corresponding plaintext letter. + - In this example, we use the keyword "CIPHER". Hence, we have the following translation alphabets: + - ![image.png](../assets/image_1663494236099_0.png) + - ### How to crack the Vigenère Cipher + - 1. Search the ciphertext for repeated strings of letters - the longer the string, the better. + - 2. For each occurrence of a repeated string, count how many letters are between the first letters in the string, and add one. + - 3. Factorise that number. + - 4. Repeat this process with each repeated string you find and make a table of common factors. The most common factor, $n$ is most likely the length of the keyword used to encipher the ciphertext. + - 5. Do a frequency count on the ciphertext, on every $n^{th}$ letter. You should end up with $n$ different frequency counts. + - 6. Compare these counts to standard frequency tables to figure out how much each letter was shifted by. + - 7. Undo the shifts and read the message. +- ## Enigma (Rotor Ciphers) + - ### Rotor Ciphers + - The mechanisation / automation of encryption. + - An $\text{N}$-stage polyalphabetic algorithm modulo 26. + - $26^N$ steps before a repetition, where $N$ is the number of cylinders. + - The Enigma machine had 5 cylinders, so: + - $$26^{N=5}=11,881,376 \text{ steps}$$ + - + - ### Breaking Enigma using **Cribs** + - The starting point for breaking Enigma was based on the following: + - Plaintext messages were likely to contain certain phrases. + - Weather reports contained the term "WETTER VORHERSAGE". + - Military units often sent messages containing "KEINE BESONDEREN EREIGNISSE" ("nothing to report"). + - A plaintext letter was never mapped onto the same ciphertext letter. + - While the cryptanalysts in Bletchely Park did not know exactly where these cribs were placed in an intercepted message, they could exclude certain positions. + - ![image.png](../assets/image_1663500888551_0.png) + - From here, possible rotor start positions & rotor wiring would be systematically examined using the "bombe" - an electromechanical device designed by Turing that replicated the action of several Enigma machines wired together. + - +- ## Transposition Ciphers + - What are **Transposition Ciphers**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-06T08:01:53.099Z + card-last-reviewed:: 2022-11-14T20:01:53.100Z + card-last-score:: 5 + - **Transposition** or **Permutation Ciphers** hide the message by rearranging the letter order ^^without altering the actual letters used.^^ + - This can be recognised since the ciphertext has the same frequency distribution as the original text. + - ### Rail Fence Cipher + id:: 6344093b-2f4f-4c58-95e4-39a8b30d16c3 + - Write plaintext letters out diagonally over a number of rows, then read off the cipher row by row. + - ![image.png](../assets/image_1663501467907_0.png) + - ### Row Transposition Cipher + - What are **Row Transposition Ciphers**? #card + card-last-interval:: 86.42 + card-repeats:: 5 + card-ease-factor:: 2.66 + card-next-schedule:: 2023-02-09T06:21:27.811Z + card-last-reviewed:: 2022-11-14T20:21:27.811Z + card-last-score:: 5 + - **Row Transposition Ciphers** are a more complex kind of transposition cipher than ((6344093b-2f4f-4c58-95e4-39a8b30d16c3))s. + - Plaintext letters are written out in rows over a specified number of columns. + - The columns are then re-ordered according to some key before reading off the columns + - ![image.png](../assets/image_1663501773385_0.png) +- +- ## Product Ciphers + - Ciphers using just substitutions or transpositions are not secure because of language characteristics. + - Consider using several ciphers in succession to make it harder to crack: + - Two substitutions make a more complex substitution. + - Two transpositions make a more complex transposition. + - However, a substitution followed by a transposition makes a much harder cipher. + - +- +- # Steganography + - What is **Steganography**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-21T10:35:36.194Z + card-last-reviewed:: 2022-11-17T19:35:36.195Z + card-last-score:: 5 + - **Steganography** is an alternative to encryption that hides the existence of the message. + - For example: + - Using only a subset of letters / words in a message marked in some way. + - Using invisible ink. + - Hiding in LSB in graphic image or sound file. + - The drawback of steganography is that it's not very economical in terms of overheads to hide a message. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Introduction to Cybersecurity.md b/second/semester1/logseq-stuff/pages/Introduction to Cybersecurity.md new file mode 100644 index 00000000..904523ca --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Introduction to Cybersecurity.md @@ -0,0 +1,15 @@ +- #[[CT255 - Next Generation Technologies II]] +- Relevant lecture slides: ![Lecture00.pdf](../assets/Lecture00_1662819191194_0.pdf) +- No previous topic. +- +- What is Cybersecurity? + card-last-score:: 5 + card-repeats:: 3 + card-next-schedule:: 2022-10-13T19:28:22.568Z + card-last-interval:: 10.24 + card-ease-factor:: 2.56 + card-last-reviewed:: 2022-10-03T14:28:22.568Z + - **Cybersecurity** is the practice of protecting systems, networks, and programs from digital attacks. + - These cyberattacks are usually aimed at accessing, changing, or destroying sensitive information; extorting money from users; or interrupting normal business processes. +- **Next topic:** [[GDPR]] +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Introduction to Firestore.md b/second/semester1/logseq-stuff/pages/Introduction to Firestore.md new file mode 100644 index 00000000..d499010d --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Introduction to Firestore.md @@ -0,0 +1,24 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Firebase Functions]] +- **Next Topic:** +- **Relevant Slides:** ![Week 11 - Introduction to Firestore, Creating our first database.pdf](../assets/Week_11_-_Introduction_to_Firestore,_Creating_our_first_database_1668690492589_0.pdf) +- +- # Firestore + - What is **Firestore**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-20T14:34:59.639Z + card-last-reviewed:: 2022-11-17T19:34:59.640Z + card-last-score:: 5 + - **Firestore** is a Document Driven Database. + - Documents follow a `property:value` format - JSON. + - Scalable, highly performant, and document oriented. + - The databases tend to scale more easily horizontally. + - ## Concepts + - Records in Firestore are known as "Documents". + - These documents are just JSON data. + - Documents are grouped into "Collections" which are equivalent to tables in relational databases. + - Queries are still queries, however there is no SQL. + - ![image.png](../assets/image_1668690700546_0.png){:height 343, :width 489} + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Introduction to Graph Theory.md b/second/semester1/logseq-stuff/pages/Introduction to Graph Theory.md new file mode 100644 index 00000000..f123c70f --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Introduction to Graph Theory.md @@ -0,0 +1,121 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Advanced PIE, Derangements, & Counting Functions]] +- **Next Topic:** [[Definitions & Planar Graphs]] +- **Relevant Slides:** ![MA284-Week07.pdf](../assets/MA284-Week07_1666180762321_0.pdf) +- +- # Introduction to Graph Theory + - What is a **graph**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:20:08.384Z + card-last-reviewed:: 2022-11-14T20:20:08.384Z + card-last-score:: 5 + - A **graph** is a collection of: + - **vertices** (or "nodes"), which are the "dots" in the belong diagram. + - **edges** joining a pair of vertices. + - ![image.png](../assets/image_1666183748304_0.png) + - If the graph is called $G$, we often define it in terms of its **edge set** $E$, and **vertex set** $V$ as + - $$G = (V,E)$$ + - What are **adjacent** vertices? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:19:56.959Z + card-last-reviewed:: 2022-11-14T20:19:56.959Z + card-last-score:: 5 + - If two vertices are connected by an edge, we say that they are **adjacent**. + - ## Example + - **Aoife, Brian, Conor, David, * Edel are students in an *Indescrete Mathematics* module.** + - **Aoife & Conor worked together on the assignment.** + - **Brian & David also worked together on their assignment.** + - **Edel helped everyone with their assignments.** + - **Represent this situation with a graph.** + - Let the students be vertices $A$, $B$, $C$, $D$, $E$. An edge represents collaboration between students. + - $$V = \{A,B,C,D,E\}$$ + - $$ E = \{\{A,C\}, \{B,D\}, \{E,A\}, \{E,B\}, \{E,C\}, \{E,D\}\}$$ + - + {{renderer :mermaid_fzjdzhfgs}} + - ```mermaid + flowchart RL + A((A)) --- C((C)) + B((B)) --- D((D)) + E((E)) --- A + E --- B + E --- C + E --- D + ``` +- +- # Graph Theory - The Basics + - What is the **order** of a graph? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:20:23.073Z + card-last-reviewed:: 2022-11-14T20:20:23.074Z + card-last-score:: 5 + - The **order** of a graph $G = (V,E)$ is the size of its vertex set, $|V|$. + - ## Equality & Isomorphism + - What makes two graphs **equal**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:20:18.088Z + card-last-reviewed:: 2022-11-14T20:20:18.088Z + card-last-score:: 5 + - Two graphs are **equal** if they have exactly the same Edge & Vertex sets. + - That is, ^^it is not important how we draw them^^. + - What is an **Isomorphism**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T20:17:59.530Z + card-last-reviewed:: 2022-11-14T20:17:59.530Z + card-last-score:: 3 + - An **isomorphism** between two graphs, $G_1 = (V_1, E_1)$ & $G_2 = (V_2, E_2)$, is a **bijection** $f: V_1 \rightarrow V_2$ between the vertices in the graph such that, if $\{a, b\}$ is an edge in $G_1$, then $\{f(a), f(b)\}$ is an edge in $G_2$ + - Two graphs are **isomorphic** if there is an isomorphism between them. + - In that case, we write: + - $$G_1 \cong G_2$$ + - ### Example + - **Show that the graphs** + - $$G_1 = \{V_1, E_1\}, \text{ where } V_1 = \{a,b,c\} \text{, and } E_1 = \{\{a,n\}, \{a,c\}, \{b,c\}\};$$ + - $$G_2 = \{V_2, E_2\}, \text{ where } V_2 = \{u,v,w\} \text{, and } E_2 = \{\{u,v\}, \{u,w\}, \{v,w\}\};$$ + - **are not *equal* but are *isomorphic*. ** + - $V_1 \neq V_2$ so graphs are not equal. + - + {{renderer :mermaid_sewggjymkp}} + - ```mermaid + flowchart TB + + subgraph G2 + u((u)) --- v((v)) --- w((w)) + end + subgraph G1 + a((a)) --- b((b)) --- c((c)) + end + + ``` + - $f: V_1 \rightarrow V_2$ given by $f(a) = u$, $f(b) = v$, $f(c) = w$ is an isomorphism. + - e.g., $\{a,c\} \in E_1$, and $\{f(a), f(c)\} = \{u, w\} \in E_2$. + - + - What is a **simple graph**? #card + card-last-interval:: 2.97 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T19:16:42.421Z + card-last-reviewed:: 2022-11-14T20:16:42.421Z + card-last-score:: 5 + - A **simple graph** is one that: + - 1. has no **loops** (i.e., no edge from a vertex to itself). + 2. have no repeated edges (i.e., there is at most one edge between each pair of vertices). + - Because simple graphs are so common, usually when we say "graph" we mean "simple graph", unless otherwise stated. + - What is a **multigraph**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:14:08.619Z + card-last-score:: 1 + - A **multigraph** is a graph that does have repeated edges. + - In a **multirgraph**, the list of edges is not a set, as some elements are repeated. It is a **multiset**. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Introduction to Inheritance.md b/second/semester1/logseq-stuff/pages/Introduction to Inheritance.md new file mode 100644 index 00000000..aada1c60 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Introduction to Inheritance.md @@ -0,0 +1,142 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[OOP Modelling]] +- **Next Topic:** [[Coding Up Inheritance]] +- **Relevant Slides:** ![Lecture-9__2022.pdf](../assets/Lecture-9_2022_1665043655336_0.pdf) ![Lecture-10__2022.pdf](../assets/Lecture-10_2022_1665044307581_0.pdf) +- +- # Object Equality #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-26T00:11:36.263Z + card-last-reviewed:: 2022-11-14T20:11:36.264Z + card-last-score:: 5 + - When you use `==` with reference variables, you are checking if the variables **point** to the same object. + - So, using `==` on strings will only return true if the Strings are references to the same object. It will return to false even if the strings contain the same data. + - The value of a string variable is the **memory location** where its String object is stored. + - When checking for equality between objects, you must use the `equals` method. + - The `equals` method is an instance method that ^^all objects of built-in classes have.^^ + - However, for any class that you define, you will have to write your own equals method. + - All equals methods must have the following method signature: + - ```java + public boolean equals(Object object) + ``` + - Its specific purpose is to define equality between objects. + - It returns a **boolean** value. + - It is **commutative**. + - `str1.equals(str4)` returns the same value as `str4.equals(str1)`. + - Example: + - ```java + String str1 = "Java"; + String str2 = "Ja"; + String str3 = "va"; + String str4 = str2 + str3; + + str1.equals(str4) ? System.out.println("true") : System.out.println("false"); + + ``` +- # `instanceof` #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:42:22.854Z + card-last-score:: 1 + - `instanceof` is an operator that is used to determine if a variable is pointing to an object with a particular type. + - ```java + System.out.println(bike2 instanceof Bicycle ? "true" : "false"); + ``` +- # Object + collapsed:: true + - What is the type of `Object obj`? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T16:42:30.590Z + card-last-reviewed:: 2022-11-14T16:42:30.590Z + card-last-score:: 5 + - `obj` is a variable whose type is `java.lang.Object`. + - What is `java.lang.Object`? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T16:42:35.503Z + card-last-reviewed:: 2022-11-14T16:42:35.504Z + card-last-score:: 5 + - `java.lang.Object` is a class that provides the ^^most generic definition^^ of an object in Java. + - It is the **parent class** of every class in Java. + - For example. A `Bicycle` object is a `Bicycle` object **and** a `java.lang.Object` object. + - +- # Casting + - ```java + Bicycle bike1 = (Bicycle) myObject; + String str1 = (String) obj; + ``` + - Here, we can **cast** (convert) a variable from a higher type (`Object`), to a lower type (`Bicycle`). + - This is allowed, as `anObject` point to a Bicycle object - we can check this using `instanceof`. + - `obj` points to a String object - we can check this using `instanceof`. + - Note that the variable type being converted is ^^not the object.^^ +- # Class Hierarchy + - ## Is-a Relationships + - Java organises all its classes in a class hierarchy. + - For example, a car is a type of vehicle, which is a type of object. + - These relationships can be described as "is-a" relationships. + - A car **is-a** vehicle; a vehicle **is-a**(n) object. + - We refer the higher-up types as **parents** and the lower types as **children**. + - Car *is-a child* of Vehicle. + - Vehicle *is-a parent* of Car. + - Object *is the parent* of Vehicle & Car. + - ## Key Ideas in Class Hierarchy + - The top of the hierarchy represents the ^^most **generic** attributes & behaviours.^^ + - The bottom (sometimes referred to as "leaves") represent the ^^most **specific** attributes & behaviours.^^ + - Each level inherits and customises the attributes & behaviours from the level above it. + - `java.lang.Object` is *the* **superclass**, the parent of all classes in Java. + - Every class in Java has the `java.lang.Object` as its superclass (parent). + - ![image.png](../assets/image_1665133543483_0.png) + - All the classes shown above **inherit** (receive) methods from the superclass `java.lang.Object`. + - What is **OOP Inheritance**? #card + card-last-interval:: 5.52 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-20T04:38:03.406Z + card-last-reviewed:: 2022-11-14T16:38:03.406Z + card-last-score:: 5 + - **Inheritance** is the means by which objects automatically receive features (fields) & behaviours (methods) from their **superclass**. + - The methods of this superclass are available to all objects of this Class, even though these methods may not be shown in the Class code. + - For example: `.equals()`. + - ### Generic Methods + - All the methods provided by the `java.lang.Object` are *generic*. + - They only relate to `java.lang.Object` classes, not the subclasses. + - When a subclass inherits these methods, it needs to customise them. + - This is why we had to override `.equals()` with our own version for the example Bicycle class. + - ### Overriding + - What is **overriding**? #card + card-last-interval:: 29.99 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-14T19:04:47.436Z + card-last-reviewed:: 2022-11-14T20:04:47.437Z + card-last-score:: 5 + - **Overriding** is when you write your own version of a method that you have inherited from a superclass. + - It is creating a specific version of a method inherited from a parent (superclass) class. + - When overriding a method, you must keep every part of the method signature the same - You can only change the code in the method body. + - Its name, its parameter types & order, its access level (e.g., public, protected), and its return type. + - #### Annotation + - It is good practice to **annotate** your overridden methods using `@Override`. + - You code will compile & run without it, but it is considered good practice to annotate the methods that are overridden inherited from the superclass. + - ```java + @Override + public boolean equals(Object obj) + { + obj == null ? return false; + + if (obj instanceof Bicycle) + { + Bicycle bike = (Bicycle) obj; + if (this.speed == bike.getSpeed() && this.gear == bike.getGear()) + { + return true; + } + } + return false; + } + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Introduction to Java.md b/second/semester1/logseq-stuff/pages/Introduction to Java.md new file mode 100644 index 00000000..6b65121d --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Introduction to Java.md @@ -0,0 +1,66 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Introduction to Object-Oriented Programming]] +- **Next topic:** [[First Java Code]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662850796416_0.pdf) +- +- ## High-Level Language + - Both Java and C are **high-level languages** and Assembly is a **low-level language**. + - "**High-Level**" is a *relative* term. + - A **High-Level Language** is the level of abstraction above a **Low-Level Language**. + - A **Low-Level Language** has little or no abstraction over the machine code of a particular processor. + - ### Advantages of High-Level Programming Languages + - Easier to program. + - Syntax can be understood by people. + - Programs take less time to write, are shorter, & easier to read, so they are more likely to be correct. + - Portable - they can be run on different kinds of computers. + - +- +- ## Translating Your Code + - Unless you are writing Machine Code, your code has to be translated into machine code to be run on your computer. + - There are two types of translation: + - 1. **Compilation**. + 2. **Interpretation** + - + - ### Compilation + - What is a **Compiler**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:44:08.310Z + card-last-reviewed:: 2022-11-14T16:44:08.310Z + card-last-score:: 5 + - A **compiler** is a program that takes human-readable source code and translates it in one go into Machine Code. + - With compilation, "translation" occurs ^^before the program is run.^^ + - Machine Code generated by compilation is **not portable**. + - However, the generated Machine Code typically executes **very efficiently**. + - For big projects, the compile time can be slow. + - ### Interpretation + - Code is "translated"" on-the-fly at runtime into commands that can be executed on the machine. + - Code is read & executed by the **interpreter** when the program is run. + - Interpreted code is **portable** (as long as there is an interpreter). + - Typically, interpreted code is ^^slower to run^^ as each statement has to be interpreted into machine code **on-the-fly**. + - Greater chance of run-time errors. + - + - ^^Java is typically both *compiled* **and** *interpreted*.^^ + - ^^Java is **compiled** to *Byte Code* - an *intermediate language* which is portable.^^ + - ^^This Byte Code is then **read** and **executed** by a Java **interpreter**.^^ + - +- +- ## Java Virtual Machine (JVM) + - What is the **JVM**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:38:43.908Z + card-last-reviewed:: 2022-11-14T16:38:43.909Z + card-last-score:: 5 + - The **Java Virtual Machine (JVM)** is a piece of software - a *virtual computer* upon which **Java byte code** is executed. + - What is the **JRE**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-12T23:43:23.817Z + card-last-reviewed:: 2022-11-14T16:43:23.818Z + card-last-score:: 3 + - The **Java Runtime Environment (JRE)** contains the JVM and all the libraries required to run the Java progam. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Introduction to NodeJS.md b/second/semester1/logseq-stuff/pages/Introduction to NodeJS.md new file mode 100644 index 00000000..dc9e7fa9 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Introduction to NodeJS.md @@ -0,0 +1,23 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[JavaScript Functions & Events]] +- **Next Topic:** [[Firebase Functions]] +- **Relevant Slides:** ![Week 9 - Introduction to NodeJS.pdf](../assets/Week_9_-_Introduction_to_NodeJS_1668008966428_0.pdf) ![Week 9 - NodeJS, APIs, Deploying to Firebase.pdf](../assets/Week_9_-_NodeJS,_APIs,_Deploying_to_Firebase_1668009200983_0.pdf) +- +- # Background + - **V8** is an open-source JavaScript engine developed by Google, written in C++ and used in the Google Chrome browser. + - **Node.js** runs on the V8 engine, written in JavaScript & C++. + - It's not a programming lanuage - it's a runtime environment. + - In simple terms, Node.js is "server-side JS". + - It is a high-performance network applications application that is well-optimised for high concurrent environments. +- # Rest APIs + - What is an **API**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T15:24:31.946Z + card-last-reviewed:: 2022-11-14T16:24:31.946Z + card-last-score:: 3 + - An **Application Programming Interface (API)** expresses a software component in terms of its operations, inputs, outputs, & underlying types. + - ## Adding Firebase Functions + - We are using Firebase functions to host our REST APIs. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Introduction to Object-Oriented Programming.md b/second/semester1/logseq-stuff/pages/Introduction to Object-Oriented Programming.md new file mode 100644 index 00000000..0a5f1c29 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Introduction to Object-Oriented Programming.md @@ -0,0 +1,40 @@ +- #[[CT2106 - Object-Oriented Programming]] +- No previous topic +- **Next Topic:** [[Introduction to Java]] +- **Relevant Slides:** ![Lecture00.pdf](../assets/Lecture00_1662850272554_0.pdf) +- +- ## Definitions + - What is a **class**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-02T22:44:35.056Z + card-last-reviewed:: 2022-11-09T12:44:35.056Z + card-last-score:: 3 + - A **class** is a type of *blueprint* or *template* from which you make objects. + - What is an **object**? #card + card-last-interval:: 27.13 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-11T23:00:56.373Z + card-last-reviewed:: 2022-11-14T20:00:56.374Z + card-last-score:: 5 + - A (Java) **object** is a self-contained component which consists of *methods* and *properties*. + - It is a piece of code that has a **state** and has **behaviour**. + - Often, they represent a "real-life" object. + - An object is created by *instantiating* a **class**. + - What is **bytecode**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:39:29.786Z + card-last-reviewed:: 2022-11-14T16:39:29.787Z + card-last-score:: 5 + - Unlike other high-level programming languages, Java code is **not** compiled into machine-specific code that can be executed by a microprocessor. + - Instead, Java programs are compiled into **bytecode**. The bytecode is input into a **Java Virtual Machine (JVM)**, which interprets & executes the code. The JVM is usually a program itself. + - Bytecode is **platform independent**. + - The JVM is specific for each platform, but the bytecode for the program remains the same across different platforms. + - The main trade-off is the effect it has on the execution speed. + - +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Introduction to SQL & DDL.md b/second/semester1/logseq-stuff/pages/Introduction to SQL & DDL.md new file mode 100644 index 00000000..1612f6a1 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Introduction to SQL & DDL.md @@ -0,0 +1,364 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[The Relational Model]] +- **Next Topic:** [[SQL DML Statement]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1663148803122_0.pdf) +- +- # SQL + - What is **SQL**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-18T17:47:35.469Z + card-last-reviewed:: 2022-11-17T09:47:35.470Z + card-last-score:: 5 + - **Structured Query Language (SQL)** is a special-purpose **programming language** for relational database systems. + - ### Features of SQL + - SQL is based on *relational algebra*. + - All relational, set, and hybrid operators are supported. + - SQL also has additional operators to allow easier query development. + - SQL has been *standardised* since 1987. + - The American National Standards Institute (ANSI) and International Organization for Standardization (ISO) form SQL standard committees. Many vendors also take part. + - Recent standards include XML-related features in addition to many others, including JSON data types. + - ### ANSI/ISO SQL + - Despite standards, there can be a lack of portability between database systems due to: + - Complexity & size of standards (not all vendors will implement all of the standard). + - The vendor may want to keep the syntax consistent with their other software products / OS or develop features to support their user base. + - The vendor may want to maintain backward compatibility. + - The vendor may want to maintain "Vendor lock-in". + - What is the **standardised SQL syntax** comprised of? #card + card-last-interval:: 10.6 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-25T06:29:02.836Z + card-last-reviewed:: 2022-11-14T16:29:02.836Z + card-last-score:: 5 + - The **standardised SQL syntax** comprises 3 components: + - **DDL -** Data Definition Language + - **DCL -** Data Control Language + - **DML -** Data Manipulation Language + - ### DCL: Data Control Language + - What is **DCL** used for? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:21:50.434Z + card-last-reviewed:: 2022-11-14T20:21:50.434Z + card-last-score:: 5 + - **Data Control Language** is used to control access to the database & to database relations. + - It is the role of the **database administrator**. + - Very important in multi-user systems. + - What are the typical **DCL** commands? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-26T06:18:39.799Z + card-last-reviewed:: 2022-11-14T20:18:39.800Z + card-last-score:: 5 + - ```sql + GRANT + REVOKE + ``` + - These can be used to: + - grant / revoke access to the database. + - grant / revoke access to individual relations. + - + - ### DDL: Data Definition Language + - What is **DDL**? #card + card-last-interval:: 86.42 + card-repeats:: 5 + card-ease-factor:: 2.66 + card-next-schedule:: 2023-02-09T06:22:06.927Z + card-last-reviewed:: 2022-11-14T20:22:06.927Z + card-last-score:: 5 + - **Data Definition Language** is a standardised language to ^^define the schema of a database.^^ + - It's the back-end of "design" options on the Interface (e.g., Create options). + - What are the typical **DDL** commands? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:36:00.957Z + card-last-score:: 1 + - The typical DDL tasks include creating, altering, and removing **database objects** such as tables & indexes. + - Common DDL keywords include: + - ```sql + CREATE + ALTER + DROP + ADD + CONSTRAINT + ``` + - #### Create a table, its indexes, & constraints + - Steps: + - 1. Specify **table** (relation) name. + 2. For each attribute in the table, specify **Attribute Name**, **Data Type**, and any **constraints**. + 3. Specify the **Primary Key** of the table: choose one or more attributes. + 4. Specify **Foreign Keys** *if they exist* and assuming that the attributes & table you are referencing exist (you may have to return to this step). + - Steps 1-3 ^^must be completed for all tables.^^ + - #### Data Types + - The main data types are **strings**, **numeric**, and **date/time**. + - + - **Strings** + - What can **strings** contain? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:37:34.017Z + card-last-reviewed:: 2022-11-14T16:37:34.018Z + card-last-score:: 5 + - **Strings** can contain ^^letters, numbers, & special characters.^^ + - Types of string: #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T06:03:14.822Z + card-last-reviewed:: 2022-11-14T20:03:14.822Z + card-last-score:: 3 + - `CHAR(size)` is a string of **fixed length**. `size` can be from 0 to 255 - the default is 1. + - `VARCHAR(size)` is a string of **variable length**. `size` can be from 0 to 65,535. + - if `size` is not specified, it is unlimited + - `TEXT` is the same thing as `VARCHAR` except it is unlimited by default, and takes no argument `size`. + - + - **Date/Time** + - Types of date/time: #card + card-last-interval:: 47.41 + card-repeats:: 5 + card-ease-factor:: 2.28 + card-next-schedule:: 2023-01-01T05:18:44.919Z + card-last-reviewed:: 2022-11-14T20:18:44.919Z + card-last-score:: 3 + - `DATE` Format: YYYY-MM_DD + - `TIME` Format: hh:mm:ss + - `DATETIME` Format: YYYY-MM-DD hh:mm:ss + - `YEAR` A year in four-digit format + - + - **Numeric** + - The maximum `size` value is 255. + - MySQL supports **unsigned** numeric types but not all DBMS do. + - Types of numerics: #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T16:48:07.382Z + card-last-reviewed:: 2022-11-14T16:48:07.383Z + card-last-score:: 3 + - `INTEGERS` - *See next block*. + - `BOOL / BOOLEAN` - 0 is False; non-zero is True. + - `FLOAT` - A floating-point number. 4 bytes, single precision. + - `DOUBLE` - A floating-point number. 8 bytes, double precision. + - `DECIMAL(size, d) / DEC(size,d)` - An exact, fixed-point number. + - `size` = total number of digits (max 65, default 10) + - `d` = number of digits after the decimal point (max 30, default 0) + - + - **Integers** + - Types of integers: + - | **Type** | **Bytes** | **Range** | + | `TINYINT` | 1 | -128 to 127 | + | `SMALLINT` | 2 | -32,768 to 32,767 | + | `MEDIUMINT` | 3 | -8,388,608 to 8,388,607 | + | `INT` | 4| -2,147,483,648 to 2,147,483,647 | + | `BIGINT` | 8 | -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807 | + - ^^Note:^^ the number in brackets next to integers only refers to the number of digits to display, not size. + - + - **Others** + - Unicode char/string + - Binary + - Blob, Json, etc. + - ### DML: Data Manipulation Language + - What is **DML**? #card + card-last-interval:: 25.4 + card-repeats:: 4 + card-ease-factor:: 2.52 + card-next-schedule:: 2022-12-12T18:47:31.780Z + card-last-reviewed:: 2022-11-17T09:47:31.780Z + card-last-score:: 5 + - **Data Manipulation Language** is a standardised language used for ^^adding, deleting, & modifying data in a database.^^ + - What are the typical **DML** commands? #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-29T17:40:29.100Z + card-last-reviewed:: 2022-11-14T16:40:29.100Z + card-last-score:: 3 + - ```sql + INSERT -- insert data + SELECT -- query (select) data + UPDATE -- update data + DELETE -- delete data + ``` +- +- # Autonumber + - What does `AUTO_INCREMENT` do in MySQL? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T03:03:50.803Z + card-last-reviewed:: 2022-11-14T20:03:50.803Z + card-last-score:: 5 + - Specifying an attribute to `AUTO_INCREMENT` tells the DBMS to ^^generate a number automatically when a new tuple is inserted into a table.^^ + - Often, this is used for an "artificial" **primary key** value which is needed to ensure that we have a primary key, but has no meaning for the data being stored. + - Using `AUTO_INCREMENT` means that the DBMS takes care of inserting a unique value automatically every time a new tuple is inserted. + - By default, `AUTO_INCREMENT` is **1**, and is incremented by 1 for each new tuple inserted. +- +- # Constraints + - ## Types of Constraints + - ### Foreign Keys + - What is the syntax for specifying **Foreign Keys**? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-26T06:21:18.467Z + card-last-reviewed:: 2022-11-14T20:21:18.468Z + card-last-score:: 3 + - ```sql + FOREIGN KEY (attributename) REFERENCES tablename(attributename) + ``` + - You need to specify: + - The keyword `FOREIGN KEY` to indicate that it is a foreign key constraint. + - The attribute name(s) that will identify the foreign keys in the current table. + - If there is more than one attribute, they should be separated by commas. + - Attribute names should be enclosed in brackets. + - The keyword `REFERENCES` to specify the attribute that the foreign key references. + - The table name and the attribute name of the attribute being referenced by the foreign key. + - Again, the attribute name(s)should be in brackets. + - The table name should be **outside** the brackets. + - ^^You cannot create a foreign key link unless the attribute that it is referencing exists.^^ + - ### Using `ALTER` to Modify Design + - **Remember:** You cannot create a foreign key link *unless* the attribute it's referencing already exists. + - If you want to create everything but the foreign keys initially, you can add a foreign key later using the `ALTER TABLE` command + - + - #### Syntax for `ALTER` Command + - To add a constraint: + - ```SQL + ALTER TABLE tablename + ADD CONSTRAINT constraintname FOREIGN KEY (attributename) REFERENCES tablename(attribute name); + ``` + - To add an attribute (column) constraint: + - ```SQL + ALTER TABLE tablename + ADD attributename DATATYPE; + ``` + - ### Domain Constraints + id:: 6321ba81-0b92-447e-9c6f-1953528d51a8 + - What is the **Domain Constraint**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:38:56.391Z + card-last-score:: 1 + - The value of each attribute A must be an **atomic** value from the **domain** dom(A). + - Essentially: ^^the data types & formats must match to that specified.^^ + - ### Entity Integrity Constraints (Primary Key Constraints) + id:: 6321bafc-6bfc-42da-96a9-f05bcfdff9ba + - What is the **Primary Key / Entity Integrity Constraint**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T00:47:09.544Z + card-last-reviewed:: 2022-11-14T16:47:09.544Z + card-last-score:: 5 + - The **primary key** should uniquely identify each tuple in a relation. + - This means: + - No duplicate values allowed for the primary key + - No `NULL`values allowed for the primary key + - **Note:** `NULL` values may possibly also not be permitted for other attributes. + - We often see this constraint when filling out forms online ("*required") and the constraint is often necessary for non-key attributes. + - However, we should be careful to only add `NOT NULL` constraints in the databases when they are really necessary. + - + - ### Referential Integrity Constraints + - What are **Referential Integrity Constraints**? #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.56 + card-last-reviewed:: 2022-11-14T20:19:00.925Z + - **Referential Integrity Constraints** are specified between two relations and require the concept of a **foreign key**. The constraint ensures that ^^the database must **not** contain any unmatched foreign keys.^^ + - Therefore, a relationship involving foreign keys **must** be between attributes of the ^^same type & size.^^ + - In addition, a value for a foreign key attribute **must** exist already as a candidate key value. + - Essentially: "no unmatched foreign keys". + - + - ### Semantic Integrity Constraints + - What are **Semantic Integrity Constraints**? #card + card-last-interval:: 56.69 + card-repeats:: 5 + card-ease-factor:: 2.42 + card-next-schedule:: 2023-01-07T03:37:12.551Z + card-last-reviewed:: 2022-11-11T11:37:12.551Z + card-last-score:: 5 + - **Semantic Integrity Constraints** ensure that the data entered into a row reflects an allowable value for that row. The value must be within the *domain*, or allowable set of values, for that column. + - How are **Semantic Integrity Constraints** specified? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:42:45.174Z + card-last-score:: 1 + - **Semantic Integrity Constraints** are specified & enforced using a *constraint specification language*. + - What are the two types of **Semantic Integrity Constraints**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-11-25T13:05:15.346Z + card-last-reviewed:: 2022-11-21T13:05:15.347Z + card-last-score:: 3 + - **State Constraints:** Constrain an entity to being in certain states. + - **Transition Constraints:** Constrain an entity to only being updated in certain ways. + - ## Setting Constraints + - **Domain Constraints** are set automatically once the data type is chosen. + - **Entity Constraints** are also set automatically once a primary key has been chosen. + - Usually default constraints are set for foreign keys, but these can be changed. + - + - ## Update Operations & Constraint Violations + - The DBMS must check that the constraints are not violated whenever **update operations** are applied. + - + - ### Insert Operation + - What does the **Insert Operation** do? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T00:47:14.600Z + card-last-reviewed:: 2022-11-14T16:47:14.600Z + card-last-score:: 5 + - The **Insert Operation** provides a list of attribute values for a new tuple $t$ that is to be inserted into a relation $R$. + - This can happen directly via the interface or via the query. + - If a constraint is violated, the DBMS will reject the insertion - usually with an explanation. + - ### Delete Operation + - How can a **Delete Operation** violate constraints? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T03:03:33.858Z + card-last-reviewed:: 2022-11-14T20:03:33.859Z + card-last-score:: 5 + - A **delete operation** can only violate **integrity constraints**, i.e., if the tuple being deleted is referenced by the foreign key from other tuples. + - The DBMS can: + - reject deletion, usually within an explanation. + - attempt to *cascade* deletion. + - modify referencing attribute. + - #### Update Operation + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-07T10:32:05.858Z + - What is an **Update** Operation? #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-20T08:30:42.712Z + card-last-reviewed:: 2022-11-11T11:30:42.713Z + card-last-score:: 3 + - An **update** operation is used to change the values of one or more attributes in a tuple of a table. + - Issues already discussed with insert & delete could arise with this operation, specifically: + - If a primary key is modified, that's essentially the same as deleting one tuple and inserting another tuple in its place. + - If a foreign key is modified, the DBMS must ensure that the new value refers to an existing tuple in the reference relation. + - ### Cascade Update & Delete + - Whenever tuples in the **referenced** (master) table are deleted or updated, the respective tuples of the **referencing** (child) table with a matching foreign key column will be deleted or updated as well. + - Note that if cascading `DELETE` is turned on, there could be many deletions performed with a single query such as: + - ```sql + DELETE FROM employee + WHERE ssn = 12345678; + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/JavaScript Functions & Events.md b/second/semester1/logseq-stuff/pages/JavaScript Functions & Events.md new file mode 100644 index 00000000..aba1f10e --- /dev/null +++ b/second/semester1/logseq-stuff/pages/JavaScript Functions & Events.md @@ -0,0 +1,51 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Bootstrap CSS]] +- **Next Topic:** [[Introduction to NodeJS]] +- **Relevant Slides:** ![Week 8 - JavaScript - Functions, Events.pdf](../assets/Week_8_-_JavaScript_-_Functions,_Events_1668007671511_0.pdf) +- +- # Functions + collapsed:: true + - A function can be named or it can be anonymous. + - ## ES6 Arrow Functions + - Arrow functions are more concise - a developer can achieve the same functionality with fewer lines of code. + - ```javascript + // ES6 Arrow Function + (param1, param2) => + { + return param1 * param2; + } + + // ES5 Traditional Function + function(param1, param2) + { + return param1 * param2; + } + ``` + - ## Assigning a Function to a Variable + - ```javascript + let multiply = (param1, param2) => { + return param1 * param2; + } + multiply(2,3) + ``` +- # Events + - An **event** is an action that can be responded to by JavaScript. + - Every element on a page has certain events which can trigger some code. + - We can identify when a user clicks a button with the `onClick` event. + - ## Event Examples + - ### Mouse Events + - `onClick`: Triggered when the mouse clicks on an element. + - `onMouseDown`: Triggered when the mouse button is pressed. + - `onMouseUp`: Triggered when the mouse button is released. + - `onMouseOver`: Triggered for an element when the mouse cursor is moved over that element. + - `onMouseOut`: Triggered for an element when the mouse cursor is moved away from that element. + - ### Selecting & De-Selecting Elements + - `onFocus`: Triggered when an element gets focus. + - `onBlur`: Triggered when an element loses focus. + - `onChange`: Triggered when the content of an element changes. + - ### Keyboard Events + - `onKeyDown`: Triggered when a keyboard key is pressed. + - `onKeyUp`: Triggered when a keyboard key is released. + - `onKeyPress`: Triggered when a keyboard key is pressed or held. + - `onSelect`: Triggered when text is selected. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Joins & Union Queries.md b/second/semester1/logseq-stuff/pages/Joins & Union Queries.md new file mode 100644 index 00000000..57841d76 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Joins & Union Queries.md @@ -0,0 +1,180 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Entity Relationship Models]] +- **Next Topic:** [[Normalisation]] +- **Relevant Slides:** ![SQL Joins and Union Queries class.pdf](../assets/SQL_Joins_and_Union_Queries_class_1665572555489_0.pdf) +- +- # Joins + - What are **Joins**? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-20T04:49:32.456Z + card-last-reviewed:: 2022-11-17T09:49:32.458Z + card-last-score:: 5 + - ^^**Joins** combine multiple tables into one table.^^ + - This new (temporary) table is then queried to return results so that we can return values from any of the table that were joined. + - Tables are joined by specifying links (**joins**) across attributes in the tables. + - Joins are carried out on 2 tables at a time, but many tables can be joined in one. + - For example, a third table could be joined to a table that results from joining two tables. + - ## Specifying Joins #card + card-last-interval:: 0.88 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T06:49:54.055Z + card-last-reviewed:: 2022-11-17T09:49:54.056Z + card-last-score:: 3 + - [1]. In SQL, we must specify *all the tables* that are part of the join in the `FROM` clause. + - [2]. We must then specify the **join condition** - for an inner join, the condition is `foreign_key = primary_key / candidate_key`. + - [3]. The join condition can be specified in the `FROM` or `WHERE` clause. + - ## Different Types of Joins + - **Inner Join** is the default when using an **implicit join**. + - For **explicit joins**, we must explicitly state the join used. + - ![https://www.csestack.org/wp-content/uploads/2020/10/sql-table-joins.png](https://www.csestack.org/wp-content/uploads/2020/10/sql-table-joins.png) + - ### Inner Joins #card + card-last-interval:: 0.88 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T06:49:01.559Z + card-last-reviewed:: 2022-11-17T09:49:01.559Z + card-last-score:: 3 + - An `INNER JOIN` includes the tuples from the first (left) of the two tables ^^only when they satisfy the join condition^^ and tuples from the second (right) table ^^only when they also satisfy the join condition.^^ + - Example: + - ```sql + SELECT * + FROM employee INNER JOIN dependent + ON ssn = essn; + ``` + - ### Left Joins #card + card-last-interval:: 0.98 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T19:06:39.454Z + card-last-reviewed:: 2022-11-14T20:06:39.455Z + card-last-score:: 3 + - **Left (outer) joins** include all of the tuples from the first (left) of two tables, regardless of whether or not they satisfy the join condition or if there are matching values in the second (right) table. + - Tuples from the second (right) table are only included when they satisfy the join condition. + - [Essentially the same as right joins.] + - Example: + - ```sql + SELECT * + FROM employee LEFT JOIN department ON + employee.ssn = department.mgrssn; + ``` + - ### Right Joins #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-20T04:49:38.317Z + card-last-reviewed:: 2022-11-17T09:49:38.317Z + card-last-score:: 5 + - **Right (outer) joins** include all of the tuples from the second (right) table, regardless of whether or not they satisfy the join condition or if there are matching values in the first (left) table. + - Tuples from the first (left) table are include only if the satisfy the join condition. + - [Essentially the same as left joins.] + - Example: + - ```sql + SELECT * + FROM employee RIGHT JOIN department ON + employee.ssn = department.mgrssn; + ``` + - ## Inner Joining Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:05:20.530Z + card-last-score:: 1 + - The results of an inner join operation between two tables $R(A_1, A_2, \dots, A_n)$ and $S(B_1, B_2, \dots, B_m)$ is a table $Q(A_1, A_2, \dots, A_n, B_1, B_2, \dots, B_m)$. + - $Q$ has one tuple for each combination of tuples (one from $R$ & one from $S$) ^^whenever the combination satisfies the join condition^^ - the join will retrieve **all** attributes in each table. + - ### Example: Inner Join Condition for the `employee` & `dependent` Tables + - **Join Condition:** `ssn = essn`. + - Full query retrieving all employees & their dependents (*dependants* in non-American English), when they have dependents: + - ```SQL + SELECT * + FROM employee INNER JOIN dependent + ON ssn = essn; + ``` + - #### Note + - When attributes with the same name from different tables are used in a join query, you need to specify the table name to avoid ambiguity. + - For example: + - `bdate` in `employee` & `dependent`. + - We can refer to these unambiguously as `employee.bdate` & `dependent.bdate`. + - + - ## Implicit & Explicit Joins + - The **join condition** can be specified *implicitly* or *explicitly*. + - What is an **explicit join**? #card + card-last-interval:: 3.05 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T21:24:32.854Z + card-last-reviewed:: 2022-11-14T20:24:32.854Z + card-last-score:: 5 + - An **explicit join** is specified in the `FROM` clause where the tables to be joined are listed. + - The keyword `INNER JOIN` is used for inner joins, and the **join condition** is listed using the keyword `ON`. + - Syntax: + - ```SQL + SELECT [DISTINCT] + FROM
+ [INNER / LEFT / RIGHT] JOIN
+ ON + WHERE + ``` + - What is an **implicit join**? #card + id:: 6346a49e-2951-4bdb-ab74-6920aa664c41 + card-last-interval:: 0.98 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T19:05:12.117Z + card-last-reviewed:: 2022-11-14T20:05:12.118Z + card-last-score:: 3 + - An **implicit join** is specified on the `WHERE` clause without using the keyword `ON`. + - It is referred to as a **join condition**. + - All the tables must be listed in the `FROM` clause, separated by commas. + - The **join condition** is contained in the `WHERE` clause. + - If there are other conditions, the join condition is appended on with `AND`. + - Other conditions can be specified in the `WHERE` clause as well as the join condition. + - All implicit joins are **inner joins** - all rows from both tables will be returned whenever there is a match between the attributes in the join table. + - Syntax: + - ```sql + SELECT [DISTINCT] + FROM
,
+ WHERE AND + + ``` + - ## Self-Joins & Aliases + - What is a **self-join**? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T15:08:05.288Z + card-last-reviewed:: 2022-11-14T20:08:05.289Z + card-last-score:: 5 + - A **self-join** is a normal SQL join that joins a table to itself. + - This is accomplished by using **aliases** to give each "instance" of the table a separate name using the keyword `AS`. +- # Sub-Queries VS Joins + - Can sub-queries & joins be used interchangeably? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-21T19:35:33.146Z + card-last-reviewed:: 2022-11-17T19:35:33.147Z + card-last-score:: 3 + - In some cases, you can replace a join with a sub-query. + - But recall: + - Joins are needed when values across multiple tables must be displayed. + - Sub-queries are needed when an existing value from a table needs to be retrieved & used as part of the query solution. + - Sub-queries are needed when an aggregate function needs to be performed & used as part of a query solution. +- # Union Queries + - The keyword `UNION` is used to combine the results of two or more queries or tables. + - MySQL does not support minus or intersection (intersect) operators, but the same functionality can be built using join. + - For union queries, tables must be **union compatible**. + - What does it mean to be **union compatible**? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T15:08:42.023Z + card-last-reviewed:: 2022-11-14T20:08:42.023Z + card-last-score:: 5 + - Two relations are **union compatible** if the schemas of two relations match. + - i.e., there are the same number of attributes in each relation, and each pair of corresponding attributes have the same **domain**. +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/MA284%3A Homework.md b/second/semester1/logseq-stuff/pages/MA284%3A Homework.md new file mode 100644 index 00000000..722e241a --- /dev/null +++ b/second/semester1/logseq-stuff/pages/MA284%3A Homework.md @@ -0,0 +1,39 @@ +- #[[MA284 - Discrete Mathematics]] +- +- # Assignment 1 2022-09-15 + - ### Problem 6 + - A survey of 1,000 employees in a company revealed that 289 like rock music, 325 like pop music, 136 like jazz, 135 like pop and rock music, 58 like jazz and rock, 39 like pop and jazz, and 20 employees like all three. + - How many employees **do not like** jazz, pop, or rock music? + - $$ |P \cup R \cup J| = |P| + |R| + |J| - |P \cap R| - |P \cap J| - |R \cap J| + |P \cap R \cap J| \newline= 289 + 325 + 136 - 135 - 58 - 39 + 20 = 538$$ + - $$|(P \cup R \cup J)^C| = |U| - |P \cup R \cup J| = 1,000 - 538 = 462$$ + - 1 + - How many employees like **pop but not jazz**? + - 325 employees like pop, but only 39 like pop **and** jazz, so the number of employees who like pop but not jazz is $325 - 39 = 286$ + - + - ### Problem 7 + collapsed:: true + - How many 3-element subsets containing the letter A can be formed from the set $\{A,B,C,D,E,F,G\}$? + - $$|\{A,B,C,D,E,F,G\}| = 7$$ + - Keyword is **subsets** - ^^order doesn't matter, elements can't be repeated.^^ + - ~~Must have A, so only have two choices; the first choice has 6 options, as A is gone, the second has 5, as both A and the previous letter are gone.~~ + - $$6\times 5 \times 1 = 30$$ + - answer isn't 30, 49 + - + - Possibilities: + - First Letter is A: + - 1 choice for first letter - A + - 6 choices for second letter + - 5 choices for third letter + - Total = 1 x 6 x 5 = 30 + - Second Letter is A: + - 6 choices for first letter + - 1 choice for second letter - A + - 5 choices for third letter + - Third Letter is A: + - 6 choices for first letter + - 5 choices for second letter + - 1 choice for third letter - A + - ### Problem 8 + - A DNA sequence can be represented as a string of the letters ACTG. + - (a) How many DNA sequences are exactly 22 letters long? + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Matrices.md b/second/semester1/logseq-stuff/pages/Matrices.md new file mode 100644 index 00000000..6bc0bf73 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Matrices.md @@ -0,0 +1,42 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Trees]] +- **Next Topic:** +- **Relevant Slides:** ![MA284-Week12.pdf](../assets/MA284-Week12_1669208668908_0.pdf) +- +- In a practical setting, a graph must be stored in some computer-readable format. + - One of the most common is an **adjacency matrix**. +- +- # Adjacency Matrices + - What is an **adjacency matrix**? #card + - If the graph has $n$ vertices, labelled $\{1,2,\cdots, n\}$, then the **adjacency matrix** is an $m \times n$ **binary** matrix, $A$, with entries + - $$a_{i,j} = + \begin{cases} + 1 & \text{vertex } i \text{ is adjacent to } j\\ + 0 & \text{otherwise.} + \end{cases}$$ + - ![image.png](../assets/image_1669209153547_0.png) + - ## Properties of the Adjacency Matrix #card + - The adjacency matrix of a graph is **symmetric**. + - If $B = A^k$, then $b_{i,j}$ is the number of paths of length $k$ from vertex $i$ to vertex $j$. + - We can work out if a graph is connected by looking at the eigenvalues of $A$. + - If the graphs $G$ & $H$ are isomorphic, and have adjacency matrices $A_G$ & $A_H$, then there is a permutation matrix $P$, such that $PA_GP^{-1}=A_H$. + - The adjacency matrix idea is easily extended to allow for multigraphs and pseudographs (graphs with loops). + - For a multigraph, $a_{i,j}$ is the number of edges joining vertices $i$ & $j$. + - For a pseudograph, $a_{i,i}$ means that there is an edge from the vertex $i$ to itself. +- # Instance Matrices + - Graphs can also be represented by an **Incidence Matrix**. + - If the graph has $v$ vertices, and $e$ edges, then it is an $v \times e$ binary matrix. + - The rows represent vertices. + - The columns represent edges. + - If the matrix is $B = (b_{i,j})$ then $b_{ik} = 1$ means that the vertex $i$ is incident to edge $j$. +- +- # Distance Matrices + - What is the **eccentricity of a vertex**? + - The **eccentricity of a vertex** is the greatest distance between that vertex & any other vertex in the graph. + - What is the **radius of a graph**? #card + - The **radius of a graph** is the minimum eccentricity of any vertex. + - What is the **diameter of a graph**? + - The **diameter of a graph** is the maximum eccentricity of any vertex. + - This is also the maximum entry in the distance matrix. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Memory Management.md b/second/semester1/logseq-stuff/pages/Memory Management.md new file mode 100644 index 00000000..0d62367f --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Memory Management.md @@ -0,0 +1,331 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Process Synchronisation]] +- **Next Topic:** [[Device Management]] +- **Relevant Slides:** ![Lecture 7.pdf](../assets/Lecture_7_1666616453389_0.pdf) +- +- # Memory Management + - In a multiprogramming system, the user part of memory is subdivided to accommodate multiple processes. + - The task of subdivision is carried out by the OS and is known as **memory management**. + - Memory needs to be allocated efficiently to pack as many processes into memory as possible. + - ## Memory Management Requirements #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:15:43.843Z + card-last-score:: 1 + - **Relocation -** dynamically loading the program into an arbitrary memory space, whose address limits are known only at execution time. + - **Protection -** Each process should be protected against unwanted interference from other processes. + - **Sharing -** Any protection mechanism should be flexible enough to allow several processes to access the same portion in main memory. + - ## Memory Organisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:16:25.464Z + card-last-score:: 1 + - ### Logical Organisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:16:46.268Z + card-last-score:: 1 + - Most programs are organised in modules. + - Some modules are un-modifiable (read only and/or execute only). + - Others contain data that can be modified. + - The OS must take care of the possibility of sharing modules across processes. + - ### Physical Organisation #card + card-last-interval:: 0.97 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T19:16:34.722Z + card-last-reviewed:: 2022-11-14T20:16:34.722Z + card-last-score:: 3 + - Memory is organised as at least a two-level hierarchy. + - The OS should hide this fact and should perform the data movement between the main memory & secondary memory without the programmer's concern. + - ## Memory Hierarchy Review + - ![image.png](../assets/image_1666617361777_0.png) + - Tradeoff between size, speed, & cost. + - What is a **register**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-18T06:17:44.069Z + card-last-reviewed:: 2022-11-14T20:17:44.069Z + card-last-score:: 5 + - Fastest memory element, but small storage. + - Very expensive. + - What is the **cache**? #card + card-last-interval:: 0.97 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T19:15:19.026Z + card-last-reviewed:: 2022-11-14T20:15:19.026Z + card-last-score:: 3 + - Fast & small compared to main memory. + - Acts as a buffer between the CPU & the main memory - it contains the most recent used memory locations (*address* & *contents* are recorded). + - What is **main memory**? #card + card-last-interval:: 3.32 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-18T03:13:53.945Z + card-last-reviewed:: 2022-11-14T20:13:53.945Z + card-last-score:: 5 + - **Main memory** is the RAM of the system. + - The disk storage is the HDD or SSD. + - ## Caching #card + card-last-interval:: 2.97 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T19:15:15.143Z + card-last-reviewed:: 2022-11-14T20:15:15.143Z + card-last-score:: 5 + - Reading from the cache is faster than recomputing a result or reading from a slower data store. + - Thus, the more requests that can be served from the cache, the faster the system performs. + - When reading data from a lower memory, we also store a copy in the cache. + - Further requests for that data can be served faster. + - A **cache hit** occurs when the requested data can be found in a cache, while a **cache miss** occurs when it does not. + - ### Cache Review + - Typical computer applications access data with a high degree of locality of reference. + - **Temporal Locality:** Data is requested that has been recently requested already. + - **Spatial Locality:** Data is requested that is stored physically close to data that has already been requested. + - When a system writes data to the cache, it must at some point write that data to the main memory as well as follow the **Write Policies**. + - **Write-through:** Write is done synchronously both to the cache & to main memory. + - **Write-back:** Initially, writing is done only to the cache. The write to amin memory is postponed until the modified content is about to be replaced by another cache block. + - +- # Process Address Space + collapsed:: true + - When accessing memory, a process is said to operate within an **address space**. + - Data items are accessible within the range of addresses available to the process. + - The number of bits allocated to specify the address is an **architectural decision**. + - Now, most computers use 64 bits for addresses. + - We say that such a system gives a **virtual address space** of 16 ExaBytes (16 billion gigabytes), although the amount of **physical** memory in such a system is most likely less than this. + - ## Address Binding + - An address used in an instruction can point **anywhere** in the virtual address space of the process. + - It still must be bound to a physical memory address. + - Programs are made of modules. + - Compilers or assemblers do not know where the module will be loaded in the physical memory. + - Virtual addresses must be translated to physical addresses. + - Address translation can be **dynamic** or **static**. + - ### Static Address Binding #card + card-last-interval:: 0.97 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T19:17:04.679Z + card-last-reviewed:: 2022-11-14T20:17:04.680Z + card-last-score:: 3 + - The OS is responsible for managing the memory, so it will give the loader a **base address** where it should load the module. + - The loader converts each virtual address in the module to absolute physical addresses by adding the base address. + - Simple / easy to implement. + - But, once loaded, the code or data of the program cannot be moved into another part of memory without a change in the static binding. + - All the processes executing in such a system would share the same physical address space. + - No protection from one another if addressing errors occur. + - Even the OS code is exposed to addressing errors. + - ### Dynamic Address Binding + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-26T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-26T11:42:36.358Z + - What is **Dynamic Address Binding**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:13:55.843Z + card-last-score:: 1 + - **Dynamic Address Binding** keeps loaded addresses **relative** to the start of a process. + - #### Advantages of Dynamic Address Binding #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T14:53:28.457Z + card-last-reviewed:: 2022-11-14T15:53:28.457Z + card-last-score:: 3 + - A given program can run anywhere in the physical memory and can be moved around by the operating system. + - All of the addresses that a program is using are relative to the program's own virtual address space, so the program is ^^unaware of the physical locations^^ at which it happens to have been placed. + - It is possible to protect processes from each other and to protect the OS from application processes by a mechanism which we employ for isolating the addresses seen by the process. + - #### Disadvantages of Dynamic Address Binding #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:21:35.955Z + card-last-score:: 1 + - A mechanism is needed to bind the virtual addresses within the loaded instructions to physical addresses when the instructions are executed. + - #### Hardware-Assisted Relocation & Protection #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:23:58.260Z + card-last-score:: 1 + - Dynamic binding must be ^^implemented in hardware^^, as it introduces **translation** as part of every memory process. + - If the basic requirement for modules is to be held **contiguously** in physical memory and contain addresses relative to their first location, the first location is called the **base** of the process. + - Suppose that an instruction is fetched & decoded and contains an **address reference**: + background-color:: green + - This address reference is relative to the **base** of the process, so the value of the base must be added to it (*base + address reference*) in order to obtain the correct physical address to be sent to the memory controller. + - The simplest form of dynamic binding hardware is a **base register** and a Memory Management Unit (MMU) to perform the translation. + - The OS must load the base register as part of setting up the state of a process before passing control to it. + - However, this approach does not provide any protection between processes - We cannot be sure that a process does not use an address that is not in its address space. + - The solution to this problem is to ^^combine the relocation & protection functions in one unit^^ - By adding a second register (the **limit register**) that delimits the upper bound of the program in the physical memory. + - ![image.png](../assets/image_1667808692354_0.png) +- # Segmentation + collapsed:: true + - ## Segmented Virtual Memory + collapsed:: true + - In practice, it is not very useful for a program to occupy a single **contiguous** range of physical addresses. + - Such a scheme would prevent two processes from sharing the code, i.e., using this scheme, it is difficult to arrange two executions of the same program (two processes) to access different data while still being able to share code. + - However, this can be achieved if the system has ^^**two** base registers^^ and ^^**two** limit registers^^, thus allowing two separate memory ranges or **segments** per process. + - Two processes sharing a code segment but having private data segments. + - ![image.png](../assets/image_1667809354147_0.png) + - The most significant bit of the virtual address is taken as a **segment identifier**, with `0` for a data segment and `1` for a code segment. + - ![image.png](../assets/image_1667809510030_0.png) + - Within a single program, it is common to have separate areas for **code**, **stack**, & **heap**. + - Language systems have conventions on how the virtual address space is arranged: + - The code segment will not grow in size. + - Heap (may be growing). + - Stack at the top of the virtual memory, growing in the opposite direction to the Heap. + - In order to realise relocation (& protection), three segments would be preferable. + - The segment is the unit of protection & sharing - the more we have, the more flexible. + - There are two ways to organise segmented addresses: + - 1. Virtual Address Space is split into a **segment number** & a **byte number** within a segment. + - The number of bits used for segment addressing is usually fixed by the CPU designer. + - 2. The segment number is supplied separated from the offset portion of the address. + - This is done in x86 processors. + - + - ## Segmented Address Translation + collapsed:: true + - For dynamic address translation in the OS, the hardware must keep a **segment table** for each process in which the location of each segment is recorded. + - A process can have many segments, only those currently being used for instruction fetch & operand access need to be in main memory. + - Other segments could be held on backing store until they are needed. + - If an address is presented for a segment that is not present in main memory, then the address translation hardware generates an **addressing exception**. + - This is handled by the OS, causing the segment to be fetched into main memory and the mechanism restarted. + - ![image.png](../assets/image_1667835066957_0.png) + - ## Segmentation Summary #card + card-last-interval:: 0.82 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-22T08:10:34.920Z + card-last-reviewed:: 2022-11-21T13:10:34.920Z + card-last-score:: 3 + - A process is divided into a **number of segments** that do not need to be equal in size. + - When a process is brought into the main memory, all of its segments are usually brought into the main memory and a **process segment table** is set up. + - ### Advantages + - The virtual address space of a process is divided into logically distinct units which correspond to constituent parts of a process. + - Segments are the natural units of access control. + - Processes may have different access rights for different segments and sharing code / data with other processes. + - ### Disadvantages + - Inconvenient for OS to manage storage allocation for variable-sized segments. + - After the system has been running for a while, the free memory available can be fragmented. + - **External Fragmentation:** Sometimes, even though the total free memory might be far greater than the size of some segment that must be loaded, there is no single area large enough to load it + - +- # Paging + - What is **paging**? Why use it? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-24T00:00:00.000Z + card-last-reviewed:: 2022-11-23T12:19:09.532Z + card-last-score:: 1 + - The need to keep each loaded segment contiguous in the physical memory poses a significant disadvantage: + - It leads to **fragmentation**. + - It complicates the physical storage allocation problem. + - Solution: **paging**, where blocks of a fixed size are used for memory allocation (so that if there is any free space, it is of the right size). + - Memory is divided into page **frames**, and the user program is divided into **pages** of the same size. + - ## Paged Virtual Memory #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:54:31.233Z + card-last-score:: 1 + - Typical page size is small (1 to 4kB). + - In paged systems, a process would require many pages. + - The limited size of physical memory can cause problems. Therefore: + - A portion of the disk storage could be used as extension to the main memory (backing store). + - The pages of a process may be in the main memory and / or in this backing store. + - The OS must manage two levels of storage and the transfer of pages between them. + - The OS must keep a **page table** for each process to record information about the pages. + - A **present bit** is needed to indicate whether the page is in the main memory or not. + - A **modify bit** indicates if the page has been altered since last loaded into main memory. + - If not modified, the page does not have to be written to the disk when swapped out. + - ### Paged Virtual Memory Address Translation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:15:43.967Z + card-last-score:: 1 + - Translation of a virtual address (**page** + offset) into a physical address (**frame** + offset) using a page table. + - The page table is stored in the main memory. + - Each process maintains a pointer in one of its registers, to the page table. + - The page number is used to index that table & lookup the corresponding frame number. + - Combining the frame number with the offset from the virtual address gives the real physical address. + - ![image.png](../assets/image_1667835934573_0.png) + - #### Two-Level Scheme to Organise Large Page Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:15:49.987Z + card-last-score:: 1 + - Processes could occupy huge amounts of virtual memory. + - E.g., in a 32-bit addressing system with pages of size 4KB: + - 12 bits for offset. + - 20 bits for number of pages. + - This means 2^{20} entries could be in each page table. + - If each entry occupies 4 Bytes (32-bit addresses), then each page would take 4MB - this is unacceptable. + - The solution is a **two-level scheme** to organise large page tables. #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:53:03.965Z + card-last-score:: 1 + - **Root Page Table** with 2^{10} (1024 entries, 4 Bytes each) entries occupying 4KB of main memory that always remains in the main memory. + - **User Page Tables** can reside in either the main memory or in disk. + - The first 10 bits of a virtual address are used to find a PTE to the user page table. + - The next 10 bits of virtual memory addresses are used to find the PTE for the page that is referenced by the virtual address. + - Every virtual memory reference causes two physical memory accesses: one to fetch the appropriate User Page Table entry, the other to fetch the desired page. + - To overcome this, most virtual memory schemas make use of a special **high-speed cache** for page entries. + - ### Translation Lookaside Buffer #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:16:29.026Z + card-last-score:: 1 + - The **Translation Lookaside Buffer (TLB)** is a kind of cache memory. + - It contains the page entries that have been most recently used. + - TLB is searched for each address reference. + - The TLB is nearly always present in any processor that utilises paged or segmented virtual memory. + - The virtual page number is extracted from the virtual address and a lookup is initiated. + - If there are multiple processes, then special care must be taken so that a page from one process would not be confused with another's. + - If a match is found, (TLB hit), then an access check is made, based on the information stored in the flags. + - The physical page base, taken form TLB is appended to the offset from the virtual address to form the complete physical address. + - The flags field will indicate the access rights and other information (i.e.m if a write is being attempted to a page that is read only etc.). + - If an address reference is made to a page that is in in the main memory but not in the TLB, then the address translation fails (TLB miss) and new entry in the TLB needs to be created for that page. + - If an address reference is made to a page that is not in the main memory, the address translation will fail again. No match will be found in the address table and the addressing hardware will raise an exception called **page fault**. + - The OS will handle this exception. + - ## Paging Summary #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T15:25:33.519Z + card-last-reviewed:: 2022-11-14T16:25:33.519Z + card-last-score:: 3 + - ### Advantages + - By using fixed sized pages in virtual address space & fixed sized pages in physical address space, it addresses some of the problems with segmentation. + - **External fragmentation** is no longer a problem (all frames in physical memory are the same size). + - Transfers to/from disks can be performed at granularity of individual pages. + - ### Disadvantages + - The page size is a choice made by the CPU or OS designer. + - It may not fit the size of program data structures and lead to internal fragmentation in which storage allocation request be rounded to an integral number of pages. + - There may be no correspondence between **page protection settings** & **application data structures**. + - If two processes are to share data structures, they may do so at the level of sharing entire pages. + - Requiring a page table per process means it's likely that the OS will require **more storage** for its internal data structures. + - + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Message Authentication.md b/second/semester1/logseq-stuff/pages/Message Authentication.md new file mode 100644 index 00000000..bd915589 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Message Authentication.md @@ -0,0 +1,21 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[Block Ciphers & Stream Ciphers]] +- **Next Topic:** +- **Relevant Slides:** ![ct255_09.pdf](../assets/ct255_09_1668712193123_0.pdf) +- +- There are four types of attacks in the context of communication across a network, which are addressed by message authentication: + - Masquerade (insertion of messages into the network from a fraudulent source). + - Content modification. + - Sequence modification. + - Timing modification (delete or repeat messages). +- Message authentication is concerned with: + - Protecting the integrity of a message. + - Validating the identity of the originator of the message. + - Validating sequencing & timeliness. + - Non-repudiation of origin (dispute resolution). +- # Hash Functions + - A hash function is a variation of a MAC, which produces a fixed-size hash code ("fingerprint") based on a variably-sized input message. + - A hash function is public and is not keyed, therefore the hash value must be encrypted. + - Traditional CRCs are too weak and cannot be used. + - 128-512 bit hash values are regarded as suitable. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/More Java Code.md b/second/semester1/logseq-stuff/pages/More Java Code.md new file mode 100644 index 00000000..7c3d1a97 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/More Java Code.md @@ -0,0 +1,52 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[First Java Code]] +- **Next Topic:** [[Variables & Types]] +- **Relevant Slides:** ![Lecture03.pdf](../assets/Lecture03_1663063871202_0.pdf) +- +- # Composition & Inheritance + - ## Composition + - What is **Composition**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-09T18:41:43.657Z + card-last-reviewed:: 2022-11-11T11:41:43.658Z + card-last-score:: 5 + - **Composition** is a type of "has-a" relationship. One object is **composed** of another and relies upon its services for its own functionality. + - It is one of the fundamental relationships between classes in OOP. + - For example: + - The class `RacingBike` **has-a** `Wheel` - **Composition**. + - How do you represent **Composition** in OOP class diagrams? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:00:44.435Z + card-last-reviewed:: 2022-11-14T20:00:44.435Z + card-last-score:: 5 + - In OOP class diagrams, a **diamond shape** indicates **composition** or a "has-a" relationship. + - ![image.png](../assets/image_1663271062397_0.png) + - This class diagram tells us that a `Vehicle` object is composed of a single `Engine` object. + - How do you realise **Composition** in Java? #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-23T22:28:13.350Z + card-last-reviewed:: 2022-11-14T16:28:13.350Z + card-last-score:: 3 + - To realise a "has-a" relationship in Java, you must ^^create a link between the **participant classes** using a **reference type variable**.^^ + - The reference declaration is in the **owner** class. + - + - # Inheritance + - What is **Inheritance**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-06T08:00:59.616Z + card-last-reviewed:: 2022-11-14T20:00:59.616Z + card-last-score:: 5 + - **Inheritance** is a type of "is-a" relationship. + - It is one of the fundamental relationships between classes in OOP. + - For example: + - A `RacingBike` **is-a** type of `Bicycle` - **Inheritance**. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Normalisation.md b/second/semester1/logseq-stuff/pages/Normalisation.md new file mode 100644 index 00000000..0c97af56 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Normalisation.md @@ -0,0 +1,227 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Joins & Union Queries]] +- **Next Topic:** [[Query Processing: Relational Algebra]] +- **Relevant Slides:** ![normalisation_2022_part1.pdf](../assets/normalisation_2022_part1_1666177004532_0.pdf) ![normalisation_2022_part2.pdf](../assets/normalisation_2022_part2_1666776016494_0.pdf) +- +- # Normalisation + - What is **normalisation**? #card + card-last-interval:: 0.95 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T17:36:23.333Z + card-last-reviewed:: 2022-11-17T19:36:23.333Z + card-last-score:: 3 + - **Normalisation** takes each table through a series of tests to "verify" whether or not it belongs to a certain **normal form**. + - Normal forms to check: + - 1^{st}, 2^{nd}, & 3^{rd} normal forms (**NF**). + - Boyce-Codd normal form - strong 3NF. + - 4^{th} & 5^{th} Normal Forms. + - ### Normalisation Provides: + - 1. A formal framework for analysing relation schemas based on **keys** & **functional dependencies** among attributes. + 2. A series of **tests** so that a database can be normalised to any degree (e.g., from 1NF to 5NF). + - However, normalisation does not necessarily provide a good design if considered in isolation to everything else. + - What are **normalisation rules**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-24T00:00:00.000Z + card-last-reviewed:: 2022-11-23T12:19:46.203Z + card-last-score:: 1 + - **Normalisation** rules gives us a *formal measure* of why one grouping of attributes in a relation schema may be better than the other. + - Why normalise? #card + card-last-interval:: 0.95 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-22T11:06:25.159Z + card-last-reviewed:: 2022-11-21T13:06:25.160Z + card-last-score:: 3 + - 1. Redundancy will be reduced or eliminated, reducing storage space as a result. + 2. The task of maintaining data integrity is made easier. + - However, with normalisation, tables are usually added to the schema and are linked with foreign keys, which causes queries to become more complex as the often require data from multiple tables (requiring joins or subqueries). + - ## Normalised & Un-Normalised Databases + - Both normalised & un-normalised databases have advantages & disadvantages. + - If a data base is **normalised**: + - No (or very little) redundancy. + - No anomalies when inserting, deleting, or modifying data. + - More tables. + - More foreign & primary keys to link tables. + - More complex queries. + - ### Redundancy + - What is **redundancy**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:19:53.452Z + card-last-reviewed:: 2022-11-14T20:19:53.453Z + card-last-score:: 5 + - **Redundancy** is the unnecessary duplication of data in a database. + - Consequences of redundancy: + - Space is wasted. + - Data can become inconsistent due to potential problems with update, insert, & delete operations. + - What is **duplication**? #card + card-last-interval:: 2.97 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T19:17:11.015Z + card-last-reviewed:: 2022-11-14T20:17:11.015Z + card-last-score:: 5 + - Duplicated data can naturally be present in a database and is not necessarily redundant. + - For example, an attribute can have two identical values. + - In the company database `ESSN` in `works_on` may be duplicated across many projects. + - Data is **duplicated** rather than **redundant** if information is lost when deleting data + - + - ## Alternatives to Normalisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:19:50.503Z + card-last-score:: 1 + - The alternative to normalisation is to retain redundant data and maintain data integrity by means of code consistency checks. + - In some applications, the number of insertions may be very small or non-existent and in such cases, the overhead of normalised tables is generally not required. + - ## De-Normalisation + - What is **de-normalisation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:34:49.533Z + card-last-score:: 1 + - **De-normalisation** is a process of making compromises to the normalised tables by ^^introducing intentional redundancy^^ for performance reasons (specifically, querying performance). + - Typically, de-normalisation will improve query times at the expense of data updates (insert, delete, update). +- # Functional Dependencies + - What is **Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:06:48.090Z + card-last-score:: 1 + - If $A$ & $B$ are attributes of a relation $R$, then $B$ is **functionally dependent (FD)** on $A$ if each value of $A$ is associated with exactly one value of $B$. + - i.e., values in $B$ are uniquely determined by values of $A$. + - Functional Dependency is one of the main concepts associated with normalisation. + - It describes the ^^relationship between attributes.^^ + - $A$ -> $B$: + - FD from $A$ to $B$. + - $B$ is FD on $A$. + - ![image.png](../assets/image_1666178440078_0.png) + - $A$ -> $B$ does not necessarily imply $B$ -> $A$. + - $A$ <-> $B$ denotes $A$ -> $B$ & $B$ -> $A$. + - $A$ -> $\{B,C\}$ denotes $A$ -> $B$ & $A$ -> $C$. + - $\{A,B\}$ -> $C$ denotes that it is the **combination** of $A$ & $B$ that uniquely determines $C$. + - ### Note on FDs + - A functional dependency is a property of a relation schema $R$ and cannot be inferred automatically. Instead, it must be defined explicitly by someone who knows the **semantics** of $R$. + - You will either be explicitly given all FDs, or given enough information about the attributes & the domain to *reasonably* infer the FDs (perhaps having to make assumptions). + - ## Types of FDs #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:30.192Z + card-last-score:: 1 + - ### Full Functional Dependency + - What is a **Full Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:15:37.929Z + card-last-score:: 1 + - A functional dependency $\{X, Y\}$ -> $Z$ is a **full functional dependency** if when some attribute (either $X$ or $Y$) is removed from the left-hand side, the dependency ^^does not hold.^^ + - There may be any number of attributes on the LHS. + - ### Partial Functional Dependency + - What is a **Partial Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:15:25.672Z + card-last-score:: 1 + - A functional dependency $\{X, Y\}$ -> $Z$ is a **partial functional dependency** if some attribute (either $X$ or $Y$) can be removed from the LHS and the dependency ^^still holds.^^ + - There may be any number of attributes on the LHS. + - ### Transitive Functional Dependency + - What is a **Transitive Functional Dependency**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-23T00:00:00.000Z + card-last-reviewed:: 2022-11-22T13:40:05.155Z + card-last-score:: 1 + - A functional dependency $X$ -> $Y$ is a **transitive functional dependency** in the relation $R$ if there is a set of attributes $Z$ that is neither a candidate key nor a subset of any key of $R$, and both $X$ -> $Z$ & $Z$ -> $Y$ hold + - What is a **Candidate Key (CK)**? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-18T06:20:02.759Z + card-last-reviewed:: 2022-11-14T20:20:02.759Z + card-last-score:: 3 + - A **candidate key (CK)** is one or more attribute(s) in a relation with which you can determine all the attributes in the relation. + - Every relation has one or more candidate keys. + - We pick one such candidate key as the primary key of a relation. + - # Inference Rules for FDs + - Typically, the main obvious functional dependencies $F$ are specified for a schema. + - However, many others can be inferred from $F$. + - We call these the **closure** of $F$: $F^+$. + - **1. Reflexive:** Trivially, an attribute, or a set of attributes, always determines itself. + - **2. Augmentation:** If $X$ - $Y$, we can infer $XZ$ -> $YZ$. + - **3. Transitive:** If $X$ -> $Y$ & $Y$ -> $Z$, we can infer $X$ -> $Z$. + - **4. Decomposition:** If $X$ -> $YZ$, we can infer $X$ -> $Y$. + - **5. Union (additive):** If $X$ -> $Y$ and $X$ -> $Z$, we can infer if $X$ -> $YZ$. + - **6. Pseudotransitive:** If $X$ -> $Y$ and $WY$ -> $Z$, we can infer $WX$ -> $Z$. + - Note: Rules 1,2, & 3 are collectively called **Armstrong's Axioms**. +- # Normal Forms + - ## First Normal Form (1NF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:12:58.023Z + card-last-score:: 1 + - A table is in in **1NF** if the table ==does not have any repeating groups== (a group of attributes that occur a variable number of times in each record (non-atomic)). + - To ensure first normal form, choose an appropriate primary key (if one is not already specified) and if required, split the table into two or more tables to remove repeating groups. + - ## Second Normal Form (2NF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:15:09.806Z + card-last-score:: 1 + - A relation in **2NF** must be in 1NF and be such that where there is a composite primary key, all non-key attributes must be dependent on the *entire* primary key. + - If partial dependencies exist, create new relations to split the attributes such that the partial dependency no longer holds. + - ## Third Normal Form (3NF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:15:39.277Z + card-last-score:: 1 + - A relation is in **3NF** if it is in 3NF and there are no dependencies between attributes that are not primary keys. + - That is, no transitive dependencies exist in the table. + - ### Steps to Normalise to 3NF #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:17:36.919Z + card-last-score:: 1 + - 1. Identify an appropriate **Primary Key** if not already given. + - This puts the table into **1NF**. + - 2. Draw a diagram of **Functional Dependencies** from the primary key. + 3. Identify if the dependencies are Full, Partial, or Transitive. + 4. Using the diagram of the functional dependencies from the previous steps: + - 5. Normalise to **2NF** by ^^removing **partial dependencies**^^ - creating new tables as a result. Ensure that all new tables have Primary Keys. + 6. Normalise to **3NF** by ^^removing **transitive dependencies**^^ (if they exist), creating new tables as a result. Ensure that any new tables have Primary Keys and are in 2NF. + 7. Check that all resulting tables are themselves in 1NF, 2NF, and 3NF (in particular, make sure that they all have PKs of their own). + - ## Boyce-Codd Normal Form (BCNF) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-24T00:00:00.000Z + card-last-reviewed:: 2022-11-23T12:16:35.097Z + card-last-score:: 1 + - Only in rare cases does a 3NF table not meet the requirements off **BCNF**. + - These cases are when a table has more than one candidate key. + - Depending on the functional dependencies, a 3NF table with two or more overlapping candidate keys may or may not be in BCNF. + - If a table in 3NF **does not** have multiple overlapping candidate keys, then it is guaranteed to be in **BCNF**. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/OOP Modelling.md b/second/semester1/logseq-stuff/pages/OOP Modelling.md new file mode 100644 index 00000000..70a3d79d --- /dev/null +++ b/second/semester1/logseq-stuff/pages/OOP Modelling.md @@ -0,0 +1,27 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Variables & Types]] +- **Next Topic:** [[Introduction to Inheritance]] +- **Relevant Slides:** ![Lecture-6__2022.pdf](../assets/Lecture-6_2022_1663835887381_0.pdf) ![Lecture-7__2022.pdf](../assets/Lecture-7_2022_1664439118886_0.pdf) ![Lecture-8__2022.pdf](../assets/Lecture-8_2022_1664528150319_0.pdf) +- +- # Modelling the Problem + - A major part of OOP is modelling the problem. + - The goal is to identify the **principle objects** in the problem domain, which we model as classes, the **responsibility** of each of these objects, and the **collaborations** between objects. + - The objective of OOP Modelling is to produce a simplified **class diagram**. + - **Classes** represent real-world entities. + - **Associations** represent collaborations between the entities. + - **Attributes** represent the data held about these entities. + - **Generalisation** can be used to simplify the structure of the model. + - What are **nouns** in OOP? + card-last-score:: 5 + card-repeats:: 4 + card-next-schedule:: 2022-12-15T02:37:38.303Z + card-last-interval:: 33.64 + card-ease-factor:: 2.9 + card-last-reviewed:: 2022-11-11T11:37:38.304Z + - **Nouns** are candidate objects in OOP. +- # OOP Principles + - Consider the following principles when assigning responsibilities: + - An **Object** is responsible for its own data. + - An Object is responsibility for communicating its state. + - **Single Responsibility Principle:** Each **Class** should have a ^^single responsibility.^^ + - All its services should be aligned with that responsibility. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Overview of Computer Systems.md b/second/semester1/logseq-stuff/pages/Overview of Computer Systems.md new file mode 100644 index 00000000..2b542fba --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Overview of Computer Systems.md @@ -0,0 +1,539 @@ +- #[[CT213 - Computer Systems & Organisation]] +- No previous topic. +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1662828507609_0.pdf) +- +- ## Traditional Classes of Computer Systems + collapsed:: true + - What is a **Personal Computer (PC)**? + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-09-23T18:28:00.836Z + card-last-interval:: 4 + card-ease-factor:: 2.7 + card-last-reviewed:: 2022-09-19T18:28:00.836Z + - A **Personal Computer** is a computer designed for use by an individual, usually incorporating a graphics display, a keyboard, and a mouse. + - What is a **Server**? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-22T21:33:20.708Z + card-last-reviewed:: 2022-11-11T11:33:20.709Z + card-last-score:: 5 + - A **server** is a computer used for running larger programs for multiple users, often simultaneously, and typically accessed only via a network. + - What is a **Supercomputer**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:37:52.646Z + card-last-reviewed:: 2022-10-03T11:37:52.647Z + card-last-score:: 5 + - A **supercomputer** is a member of a class of computers with the highest performance (and cost). They are configured as servers and typically cost tens to hundreds of millions of dollars. + - What is an **Embedded Computer**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:45:01.338Z + card-last-reviewed:: 2022-11-14T16:45:01.338Z + card-last-score:: 5 + - An **embedded computer** is a computer inside another device, used for running one predetermined application or collection of software. + - What are **Personal Mobile Devices**? + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-12T21:31:08.211Z + card-last-reviewed:: 2022-10-01T17:31:08.211Z + card-last-score:: 5 + - **Personal Mobile Devices** are small, wireless devices that connect to the internet. + - They rely on batteries for power, and software is installed by downloading apps. + - Conventional examples include smartphones and tablets. + - What is **Cloud Computing**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:41:13.223Z + card-last-reviewed:: 2022-11-14T16:41:13.223Z + card-last-score:: 5 + - **Cloud Computing** refers to large collections of servers that provide services over the internet. + - Some providers rent dynamically varying number of servers as a utility. + - What is **Software as a Service**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:47:42.790Z + card-last-reviewed:: 2022-11-14T16:47:42.790Z + card-last-score:: 5 + - **Software as a Service** delivers software & data as a service over the internet, usually via a thing program, such as a browser. + - Examples include web search & email. + - +- ## Computer Systems + - ![image.png](../assets/image_1662829382080_0.png){:height 410, :width 414} + - What is **Application Software**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:45:07.567Z + card-last-reviewed:: 2022-11-14T16:45:07.567Z + card-last-score:: 5 + - **Application Software** consists of user-installed applications & programs. + - Application Software provides services to the user that are commonly useful. + - What is the purpose of the **Operating System**? #card + card-last-interval:: 49.07 + card-repeats:: 5 + card-ease-factor:: 2.28 + card-next-schedule:: 2023-01-02T21:21:34.885Z + card-last-reviewed:: 2022-11-14T20:21:34.886Z + card-last-score:: 3 + - The **Operating System** interfaces between a user's program and the hardware, provides a variety of services, and performs supervisory functions. + - What is the purpose of the **Hardware**? + - The **Hardware** performs the tasks. + - +- ## Seven Great Ideas in Computer Organisation + - ### 1. Use **Abstraction** to Simplify Design #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T10:59:55.160Z + card-last-reviewed:: 2022-11-14T19:59:55.163Z + card-last-score:: 5 + - A major productivity technique for hardware & software is to use **abstractions** to characterise the design at different levels of representation + - Lower-level details are hidden to offer a simpler model at higher levels. + - ### 2. Make the **Common Case** Fast #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:41:18.214Z + card-last-reviewed:: 2022-11-14T16:41:18.214Z + card-last-score:: 5 + - Making the **common case fast** will tend to enhance performance better than optimising the rare case. + - The common case is often simpler than the rare case, and hence is usually easier to enhance. + - ### 3. Performance via **Parallelism** #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:35:06.365Z + card-last-reviewed:: 2022-10-20T08:35:06.365Z + card-last-score:: 5 + - Involves speeding up performance by using designs that compute operations in **parallel**. + - ### 4. Performance via **Pipelining** #card + card-last-interval:: 27.13 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-11T19:29:57.240Z + card-last-reviewed:: 2022-11-14T16:29:57.241Z + card-last-score:: 3 + - **Performance via Pipelining** is a particular pattern of **parallelism** that is so prevalent in computer architecture that it merits its own name. + - ### 5. Performance via **Prediction** #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-15T02:32:12.139Z + card-last-reviewed:: 2022-11-11T11:32:12.139Z + card-last-score:: 5 + - In some cases, it can be ^^faster on average to guess and start working^^ that to wait until you know for sure (assuming that the mechanism to recover from a misprediction is not too expensive, and your prediction is relatively accurate). + - ### 6. Hierarchy of Memories #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:42:13.815Z + card-last-reviewed:: 2022-11-14T16:42:13.816Z + card-last-score:: 5 + - Computer Architects have found that they can address conflicting demands with a **hierarchy of memories**. + - The ^^fastest, smallest, & most expensive memory per bit^^ is at the top of the hierarchy. + - The ^^slowest, largest, & cheapest per bit^^ is at the bottom of the hierarchy. + - ### 7. Dependability via **Redundancy** #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:42:16.723Z + card-last-reviewed:: 2022-11-14T16:42:16.723Z + card-last-score:: 5 + - Since any physical device can fail, we make systems **dependable** by including ^^redundant components^^ that can take over when a failure occurs *and* help detect failures. + - +- ## Hardware Organisation + - What does basic computer organisation look like? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-22T23:24:24.522Z + card-last-reviewed:: 2022-10-20T08:24:24.523Z + card-last-score:: 5 + - ![image.png](../assets/image_1662830400492_0.png) + - What is an **integrated circuit**? + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-04T20:17:29.178Z + card-last-reviewed:: 2022-10-04T12:17:29.178Z + card-last-score:: 5 + collapsed:: true + - An **integrated circuit**, also called a **chip**, is a device combining dozens to millions of transistors. + - ### The CPU + - What is a **CPU**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:47:19.225Z + card-last-reviewed:: 2022-11-14T16:47:19.226Z + card-last-score:: 5 + - The **Central Processing Unit (CPU)**, also called the **processor**, is the ^^active part of the computer^^, which contains the datapath & control, and which adds numbers, tests numbers, signals I/O devices to activate, and so on. + - The CPU is ^^responsible for executing programs.^^ + - What are the steps that the CPU takes to process programs? #card + card-last-interval:: 64.01 + card-repeats:: 5 + card-ease-factor:: 2.52 + card-next-schedule:: 2023-01-17T20:21:39.209Z + card-last-reviewed:: 2022-11-14T20:21:39.209Z + card-last-score:: 5 + - **1. Fetch:** Retrieve an instruction from ^^program memory.^^ + - **2. Decode:** Break down the instruction into parts that have significance to specific sections of the CPU. + - **3. Execute:** Various portions of the CPU are connected to perform the desired operation. + - **4. Write Back:** Simply "writes back" the results of the execute step ^^if necessary.^^ + - ### CPU Organisation + - What does the **organisation** of the CPU look like? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:12:31.318Z + card-last-score:: 1 + - Processors are made up of: + - A **Control Unit** + - **Execution Unit(s)** + - A **Register File** + - ![image.png](../assets/image_1662830846361_0.png){:height 339, :width 418} + - + - #### Control Unit + - What does the **Control Unit** do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:48:27.996Z + card-last-score:: 1 + - The **Control Unit** ^^controls the execution^^ of the instructions stored in main memory. + - It ^^retrieves & executes^^ them. + - What is the architecture of the control unit? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:18:27.653Z + card-last-score:: 1 + - The control unit contains a **fetch unit**, a **decode unit**, and an **execute unit**. + - It also contains two special registers: + - **Program Counter (PC):** keeps the address of the next instruction + - **Instruction Register (IR):** keeps the instruction being executed + - ![image.png](../assets/image_1662837864357_0.png){:height 266, :width 550} + - + - ### The Memory Subsystem + collapsed:: true + - How is the memory divided into storage locations? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:41:41.185Z + card-last-reviewed:: 2022-11-14T16:41:41.185Z + card-last-score:: 5 + - Memory is divided into a set of storage location which can hold data. + - Locations are numbered. + - Addresses are used to tell the memory which location the processor wants to access. + - What are the two hierarchies of memory? #card + card-last-interval:: 10.97 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-25T15:41:01.018Z + card-last-reviewed:: 2022-11-14T16:41:01.018Z + card-last-score:: 5 + - **1. Nonvolatile / ROM (Read Only Memory):** Read only memory. + - Used to store the BIOS and / or a *bootstrap* or *bootloader* program. + - **2. Volatile / RAM (Random Access Memory):** Read / Write memory. + - Also called **Primary Memory**. + - Used to hold the programs, operating system, and data required by the computer. + - #### Primary Memory + - How is primary memory connected to the CPU? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-15T02:38:12.876Z + card-last-reviewed:: 2022-11-11T11:38:12.876Z + card-last-score:: 5 + - **Primary Memory** is directly connected to the Central Processing Unit of the computer. + - It must be present for the CPU to function correctly. + - What are the three types of Primary Storage? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:35:22.469Z + card-last-score:: 1 + - **1. Processor Register:** + - Contains information that the CPU needs to carry out the current instruction. + - **2. Cache Memory:** + - A special type of internal memory used by many CPUs to increase their **throughput**. + - **3. Main Memory:** + - Contains the programs that are currently being run and the data that the programs are operating on. + - What is the **address width**? #card + card-last-interval:: 47.41 + card-repeats:: 5 + card-ease-factor:: 2.28 + card-next-schedule:: 2023-01-07T22:09:51.569Z + card-last-reviewed:: 2022-11-21T13:09:51.569Z + card-last-score:: 3 + - The **address width** is the number of bits used to represent an address in memory. + - The **width** limits the amount of memory that a computer can access. + - Most computers use a **64 bit address**, which means that the maximum number of locations is 2^{64} \approx 16 billion gigabytes. + - What operations does the memory subsystem support? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-12T23:44:58.031Z + card-last-reviewed:: 2022-11-14T16:44:58.031Z + card-last-score:: 3 + - The memory subsystem supports two operations: + - **Load** (or read) + the address of the data location to be read. + - **Store** (or write) + the address of the location & the data to be written. + - How many bytes may the memory system read or write at a time? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:41:30.763Z + card-last-reviewed:: 2022-11-14T16:41:30.764Z + card-last-score:: 5 + - Read & Write operations ^^operate at the width of the system's data bus^^, usually 32 bit or 64 bit. + - How is a section of memory addressed? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:43:58.787Z + card-last-score:: 1 + - The address ^^contains only the address of the lowest byte^^, and a number of bytes to be read is specified, e.g., 4 bytes. + - #### Memory Alignment & Words of Data + - When the computer's **word size** is 4 bytes, the data to be read should be at a memory address which is ^^some multiple of four.^^ + - When this is not the case, e.g., the data starts at address 14 instead of 16, then the computer has to read two or more 4 byte chunks and do some calculation before the requested data has been read, or it may generate ^^an alignment fault.^^ + - Even though the previous data structure end is at, for example, address 13, the next data structure should start at address 16. Two **padding bytes** are inserted between the two data structures at addresses 14 & 15 to align the next data structure at address 16. + - ### The I/O Subsystem + - What are **input devices**? #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:38:20.415Z + card-last-reviewed:: 2022-11-14T16:38:20.415Z + card-last-score:: 5 + - Anything that feeds data into the computer. + - What are **output devices**? #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:38:27.684Z + card-last-reviewed:: 2022-11-14T16:38:27.684Z + card-last-score:: 5 + - Display / transmit information back to the user. + - What does the **I/O Subsystem** contain? #card + collapsed:: true + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:38:17.443Z + card-last-reviewed:: 2022-11-14T16:38:17.443Z + card-last-score:: 5 + - The **I/O Subsystem** contains the devices that the computer uses to communicate with the outside world and to store data. + - How do I/O devices communicate with the processor? #card + collapsed:: true + card-last-interval:: 10.24 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-24T21:49:01.266Z + card-last-reviewed:: 2022-11-14T16:49:01.266Z + card-last-score:: 3 + - I/O devices usually communicate with the processor using the **I/O Bus**. + - PCs use the **PCI Express (Peripheral Component Interconnect Express)** bus for their I/O bus. + - The Operating System needs a **device driver** to access a given I/O device. + - What is a **device driver**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:43:53.294Z + card-last-reviewed:: 2022-11-14T16:43:53.295Z + card-last-score:: 5 + - A **device driver** is a program that allows the OS to control an I/O device. + - #### I/O Read / Write Operations + - The I/O read & write operations are similar to the memory read & write operations. + - How does the processor address I/O devices? #card + card-last-interval:: 12.96 + card-repeats:: 4 + card-ease-factor:: 1.8 + card-next-schedule:: 2022-11-27T19:18:57.241Z + card-last-reviewed:: 2022-11-14T20:18:57.241Z + card-last-score:: 3 + - A processor may use: + - **Memory-Mapped I/O:** when the address of the I/O device is in the **direct memory space**, and the ^^sequences to read/write data in the device are the same as the memory read/write sequences.^^ + - **Isolated I/O:** similar process to Memory-Mapped I/O, but the processor has a ^^second set of control signals to distinguish between a **memory access** and am **I/O access**.^^ + - What is **IO/M**? #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:02:23.177Z + card-last-reviewed:: 2022-11-14T20:02:23.177Z + card-last-score:: 3 + - **IO/M** is a **status signal** in **Isolated I/O** that denotes whether the read/write operation pertains to the memory or to the I/O subsystem. + - When the **signal is low** (IO/M = 0), i.e., IO/M is `true`, it denotes **memory-related operations**. + - When the **signal is high**, (IO/M = 1), i.e., IO/M is `false`, it denotes an **I/O operation**. + - + - + - +- ## Programs + - What are programs? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T02:39:39.879Z + card-last-reviewed:: 2022-11-14T16:39:39.879Z + card-last-score:: 3 + - Programs are ^^sequences of instructions^^ that tell the computer what to do. + - To the computer, a program is made out of a ^^sequence of numbers that represent individual operations.^^ + - These operations are known as **machine instructions** or just **instructions**. + - A set of instructions that a processor can execute is known as an **instruction set**. + - ### Program Development Tools + collapsed:: true + - What is a **high-level programming language**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:43:16.217Z + card-last-reviewed:: 2022-11-14T16:43:16.218Z + card-last-score:: 5 + - A **high-level programming language** is a ^^portable language^^ such as C that is ^^composed of words & algebraic notation^^ that can be translated by a compiler into **assembly language**. + - What is a **compiler**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:38:38.718Z + card-last-reviewed:: 2022-11-14T16:38:38.719Z + card-last-score:: 5 + - A **compiler** is a program that translates statements in a given high-level language into assembly language statements. + - What is an **assembler**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:43:18.677Z + card-last-reviewed:: 2022-11-14T16:43:18.677Z + card-last-score:: 5 + - An **assembler** is a program that translates symbolic, assembly language versions of instructions into the ^^binary version.^^ + - What is **Assembly Language**? #card + card-last-interval:: 108 + card-repeats:: 5 + card-ease-factor:: 3 + card-next-schedule:: 2023-03-02T20:22:13.316Z + card-last-reviewed:: 2022-11-14T20:22:13.317Z + card-last-score:: 5 + - **Assembly Language** is a ^^symbolic representation^^ of **machine instructions**. + - What is **Machine Language**? #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:02:29.114Z + card-last-reviewed:: 2022-11-14T20:02:29.114Z + card-last-score:: 3 + - **Machine Language** is a ^^binary representation^^ of **machine instructions**. + - What is an **instruction**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-12T23:49:56.176Z + card-last-reviewed:: 2022-11-14T16:49:56.176Z + card-last-score:: 3 + - An **instruction** is a command that the computer hardware understands & obeys. + - +- ## Operating Systems + - What is an **Operating System**? #card + card-last-interval:: 9.68 + card-repeats:: 3 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-11-24T08:36:28.473Z + card-last-reviewed:: 2022-11-14T16:36:28.474Z + card-last-score:: 5 + - Possible definition: a program that runs on the computer that ^^knows about all the hardware^^ and usually ^^runs in privileged mode^^, having ^^access to physical resources that user programs can't control^^, and has the ^^ability to start & stop user programs.^^ + - The OS is responsible for managing the physical resources of complex systems, such as PCs, workstations, mainframe computers, etc. + - It is also responsible for ^^loading & executing programs^^ and ^^interfacing with the users.^^ + - Usually, there is no operating system for **small embedded systems**. + - Computers designed for one specific task. + - + - ### Multiprogramming + - What is **Multiprogramming**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:33:42.952Z + card-last-reviewed:: 2022-10-20T08:33:42.952Z + card-last-score:: 5 + - **Multiprogramming** is a technique that allows the system to ^^present the illusion that multiple programs are running on the computer simultaneously.^^ + - Many multiprogrammed computers are **multiuser**. + - They allow multiple users to be logged in at a time. + - How is multiprogramming achieved? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-12T23:46:17.294Z + card-last-reviewed:: 2022-11-14T16:46:17.294Z + card-last-score:: 3 + - Multiprogramming is achieved by ^^switching rapidly between programs.^^ + - How does the processor decide which process to execute next? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T02:44:23.286Z + card-last-reviewed:: 2022-11-14T16:44:23.287Z + card-last-score:: 5 + - **FCFS - First Come, First Served:** processes are moved to the CPU in the order in which they arrive. + - **SJN - Shortest Job Next:** looks at all processes in the **ready state** and dispatches the one with the smallest service time. + - **Round Robin:** distributes the processing time equitably among all ready processes. + - ### Context Switching + - What is a **Context Switch**? #card + card-last-interval:: 64.01 + card-repeats:: 5 + card-ease-factor:: 2.52 + card-next-schedule:: 2023-01-24T13:09:58.962Z + card-last-reviewed:: 2022-11-21T13:09:58.962Z + card-last-score:: 5 + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor. + - This is a **context switch**. + - How does the OS go about a Context Switch? #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-29T17:40:02.859Z + card-last-reviewed:: 2022-11-14T16:40:02.859Z + card-last-score:: 3 + - copies the current program register file into memory + - restores the contents of the next program's register file into the processor + - starts executing the next program + - From the program point of view, ^^no program can tell that a context switch has been performed.^^ + - ### Protection + - Three rules of Protection in multiprogrammed computers: #card + card-last-interval:: 29.21 + card-repeats:: 5 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-12-17T00:35:54.999Z + card-last-reviewed:: 2022-11-17T19:35:55.000Z + card-last-score:: 3 + - 1. The result of any program running on the multiprogram computer ^^must be the same as if the program was the only program running on the computer.^^ + - 2. Programs ^^must not be able to access other programs' data^^ and must be confident that their data will not be modified by other programs (for security and privacy). + - 3. Programs ^^must not interfere with other programs' use of I/O devices.^^ + - How is protection achieved? #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-29T21:01:17.902Z + card-last-reviewed:: 2022-11-14T20:01:17.902Z + card-last-score:: 3 + - Protection is achieved by the ^^operating system having full control over the resources of the system (processor, memory, and I/O devices)^^ through: + - **Privileged Mode:** the operating system is the only one that can control the physical resources it executes in privileged mode. + - User programs execute in **user mode**. + - **Virtual Memory:** each program operates as if it were the only program on the computer, occupying a full set of the address space in its virtual space. + - The OS is *translating* memory addresses that the program references into physical addresses used by the memory system. + - +- +- **Next Topic:** [[Programming Models]] \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Principle of Inclusion-Exclusion.md b/second/semester1/logseq-stuff/pages/Principle of Inclusion-Exclusion.md new file mode 100644 index 00000000..daffc6d2 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Principle of Inclusion-Exclusion.md @@ -0,0 +1,71 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Counting]] +- **Next Topic:** [[Binomial Coefficients]] +- **Relevant Slides:** ![Week02.pdf](../assets/Week02_1663097329077_0.pdf) +- +- (Aside) **Notation for Complement:** $A^C$ for some set $A$. +- +- ## Counting with Sets + - ### Additive Principle for Sets + - #### Additive Principle in terms of "events" + - If Event $A$ can occur $m$ ways, and Event $B$ can occur $n$ (disjoint / independent) ways, then event "$A$ *or* $B$" can occur in $m+n$ ways. + - But, an "event" can just be expressed as ^^selecting an element of a set.^^ + - Saying "Event $A$ can occur $m$ ways" is ^^the same^^ as saying "$|A|=m$". + - Saying "Event $B$ can occur $n$ ways is the same as saying "$|B|=n$". + - If events $A$ and $B$ are **disjoint** / independent, that means that $|A \cap B| = 0$, or, equivalently , $A \cap B = \emptyset$. + - + - What is the **Additive Principle for Sets**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:02:08.655Z + card-last-score:: 1 + - Given two sets $A$ and $B$ with $|A \cap B| = 0$, then: + - $$|A \cup B| = |A| + |B|$$ + - ### Multiplicative Principle for Sets + - What is the **Cartesian Product** of two sets? #card + card-last-interval:: 11.04 + card-repeats:: 3 + card-ease-factor:: 2.76 + card-next-schedule:: 2022-11-25T16:36:56.463Z + card-last-reviewed:: 2022-11-14T16:36:56.463Z + card-last-score:: 5 + - The **Cartesian Product** of two sets, $A$ and $B$ is: + - $$A \times B = \{(x,y) : x \in A \text{ and } y \in B \}$$ + - This is the set of pairs where the first term in each pair comes from $A$, **and** the second term in each pair comes from $B$. + - #### Multiplicative Principle in terms of "events" + - If event $A$ can occur $m$ ways, and each possibility allows for $B$ to occur in $n$ (disjoint) ways, then event "$A$ **and** $B$" can occur in $m \times n$ ways. + - What is the **Multiplicative Principle for Sets**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:00:28.884Z + card-last-reviewed:: 2022-11-14T20:00:28.884Z + card-last-score:: 5 + - Given two sets, $A$ and $B$: + - $$|A \times B| = |A| \cdot |B|$$ + - This extends to 3 or more sets in the obvious way. +- ## The Principle of Inclusion & Exclusion (PIE) + - What is the **Principle of Inclusion & Exclusion**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:01:03.942Z + card-last-reviewed:: 2022-11-14T20:01:03.942Z + card-last-score:: 5 + - For any two finite sets $A$ and $B$: + - $$|A \cup B| = |A| + |B| - |A \cap B|$$ + - This also extends to larger numbers of sets, for example: + - For any 3 finite sets $A$, $B$, and $C$: + - $$|A \cup B \cup C| = |A| + |B| + |C| - |A \cap B| - |A \cap C| - |B \cap C| + |A \cap B \cap C |$$ +- ## Subsets & Power Sets + - What is a **power set**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-27T12:19:42.366Z + card-last-reviewed:: 2022-11-23T12:19:42.366Z + card-last-score:: 5 + - The **power set** of a set $A$, denoted by $P(A)$, is the ^^set of all subsets^^ of $A$, ^^including the empty set^^ ($\emptyset$). + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Probability.md b/second/semester1/logseq-stuff/pages/Probability.md new file mode 100644 index 00000000..fe947d8c --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Probability.md @@ -0,0 +1,155 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Sampling]] +- **Next Topic:** [[Random Variables]] +- **Relevant Slides:** ![Topic 4 - Probability.pdf](../assets/Topic_4_-_Probability_1664204337770_0.pdf) +- +- Probability provides the *framework* for the study & application of statistics. +- # What are Probabilities? + - Take, for example, a 6-sided die about to be tossed for the first time. + - **Classical:** 6 possible outcomes, by symmetry, each equally likely to occur, + - **Frequentist:** Empirical evidence shows that similar dice thrown in the past have landed on each side about equally often. + - **Subjective:** The degree of individual belief in occurrence of an event can be influenced by classical or frequentist arguments. + - Subjective probabilities are also influenced by other reasons when symmetry arguments don't apply & repeated trials are not possible. +- +- # Probability + - The probability of an event $A$ is the number of (equally likely & disjoint) outcomes in the event divided by the total number of (equally likely & disjoint) possible outcomes. + - $$P(A) = \frac{\text{\# of outcomes in A}}{\text{\# of possible outcomes}}$$ + - $$(0 \leq P(A) \leq 1)$$ + - ## Sample Spaces + - What is a **sample space**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:42:50.065Z + card-last-score:: 1 + - The set of all possible outcomes of a random experiment is called the **sample space**, $S$. + - $S$ is **discrete** if it consists of a finite or countably infinite set of outcomes. + - $S$ is **continuous** if it contains an interval of real numbers. + - $$P(S) = 1$$ + - ## Events + - What is an **event**? #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-21T23:15:48.008Z + card-last-reviewed:: 2022-11-17T20:15:48.008Z + card-last-score:: 5 + - An **event** is a specific collection of sample points / possible outcomes. + - An event is denoted by $E$ or by capital letters, $A$, $B$, etc. + - What is a **SImple Event**? #card + card-last-interval:: 3.57 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-22T07:34:13.841Z + card-last-reviewed:: 2022-11-18T18:34:13.841Z + card-last-score:: 5 + - A **Simple Event** is a collection of only **one** sample point / possible outcomes. + - What is a **Compound Event**? #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-21T23:15:54.761Z + card-last-reviewed:: 2022-11-17T20:15:54.762Z + card-last-score:: 5 + - A **Compound Event** is a collection of **more than one** sample point / possible outcomes. + - ## Permuatations + - A **permutation** is an arrangement of objects. + - It can also be an arrangement of $r$ objects chosen from $n$ distinct objects where replacement in the selection is not allowed. + - The symbol, $P^n_r$ represents the number of permutations of $r$ objects selected from $n$ objects. + - The calculation is given by the formula: + - $$P^n_r = \frac{n!}{(n-r)!}$$ + - ## Joint Events (and / or) + - Probabilities of **joint events** can often be determined from the probabilities of the individual events that comprise them. + - Joint events are generated by applying basic set operations to individual events, specifically: + - **Complement** of event $A$ is $\bar{A} =$ all outcomes *not* in $A$. + - **Union** of events $A \cup B$; $A$ **or** $B$ or both. + - **Intersection** of events $A$ **and** $B$ -> $A \cap B$. + - **Disjoint** events cannot occur together -> $A \cap B = \empty$. + - +- ## Probability of a Union ($A$ **or** $B$) #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-06T08:01:39.281Z + card-last-reviewed:: 2022-11-14T20:01:39.281Z + card-last-score:: 3 + - For any two events $A$ and $B$, the probability of union is given by: + - $$P(A \cup B) = P(A) + P(B) - P(A \cap B)$$ + - For two **disjoint** (also called **mutually exclusive**) events $A$ and $B$, the probability that one *or* the other occurs is the sum of the probabilities of the two events (provided that $A$ and $B$ are disjoint). + - $$P(A \cup B) = P(A) + P(B)$$ + - If $P(A \cup B)$ is greater than 1, then you know you have made a mistake and that the events were not mutually exclusive -> there is an intersection. +- ## Intersections ($A$ **and** $B$) + card-last-interval:: 3.51 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-10-08T00:26:58.336Z + card-last-reviewed:: 2022-10-04T12:26:58.337Z + card-last-score:: 5 + - #### Multiplication Rule for Independent Events #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:07:08.232Z + card-last-reviewed:: 2022-11-14T20:07:08.232Z + card-last-score:: 5 + - For two **independent** events $A$ and $B$, the probability that *both* $A$ **and** $B$ occur is the product of the probabilities of the two events. + - $$P(A \cap B) = P(A) \times P(B)$$ + - If two events are **independent**, that means that one event has no impact on the probability of occurrence of the other event. +- ## Conditional Probability + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-04T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-04T12:31:44.517Z + - What is **conditional probability**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:30:38.038Z + card-last-score:: 1 + - $P(B | A)$ is the probability of event $B$ occurring, given that event $A$ has already occurred. + - The **conditional probability** of $B$ given $A$, denoted by $P(B | A)$, is defined by: #card + card-last-interval:: 0.98 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T19:08:28.312Z + card-last-reviewed:: 2022-11-14T20:08:28.312Z + card-last-score:: 3 + - $$P(B|A) = \frac{P(A \cap B)}{P(A)} \text{, provided } P(A) > 0$$ + - **Note:** $P(A)$ cannot equal 0, since we know that $A$ *has* occurred. + - ### General Multiplication Rule for Dependent Events #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:33:46.273Z + card-last-score:: 1 + - The conditional probability can be rewritten to further generalise the multiplication rule: + - $$P(A \cap B) = P(A) \cdot P(B|A)$$ + - $$P(B \cap A) = P(B)B \cdot P(B|A)$$ + - $$\text{As } P(A \cap B) = P(B \cap A) \text{ implies}$$ + - $$P(A) \cdot P(B | A) = P(B) \cdot P(A |B)$$ + - These results mean that $P(A |B)$ can be calculated once we know $P(A)$, $P(B)$, and $P(B | A)$. + - #### Bayes' Theorem #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:07:04.337Z + card-last-score:: 1 + - **Bayes' Theorem** states that: + - $$P(A | B) = \frac{P(B | A) \cdot P(A)}{P(B)} \text{ for } P(B)>0$$ +- ## Independence + - Two events, $A$ and $B$ are independent, if and only if: + - $$P(A \cap B) = P(A)\cdot P(B)$$ + - Therefore, to obtain the probability that two independent events will occur, we simply find the product of their individual probabilities. + - Two events $A$ and $B$ are independent, if and only if: + - $$P(B | A) = P(B) \text{ or } P(A|B) = P(A)$$ + - assuming the existence of the conditional probabilities. + - Otherwise, $A$ and $B$ are **dependent**. + - If in an experiment, the events $A$ and $B$ can both occur, then: + - $$P(A \cap B) = P(A)P(B|A) \text{, provided } P(A) > 0$$ + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Process Management.md b/second/semester1/logseq-stuff/pages/Process Management.md new file mode 100644 index 00000000..ff945988 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Process Management.md @@ -0,0 +1,407 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[System Software & Operating Systems]] +- **Next Topic:** [[CPU Management - Scheduling]] +- **Relevant Slides:** ![Lecture 4.pdf](../assets/Lecture_4_1664197052447_0.pdf) +- +- # Programs & Processes + - What is a **Program**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-26T13:37:45.329Z + card-last-reviewed:: 2022-11-22T13:37:45.329Z + card-last-score:: 3 + - A **Program** is a static entity made up of source program language statements that define process behaviour when executed on a set of data. + - What is a **Process**? #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:39:13.229Z + card-last-score:: 1 + - A **Process** is a dynamic entity that executes a program on a particular set of data using resources allocated by the system. + - Two or more processes could execute the same program, each using its own data & resources. + - It is a ^^program in execution.^^ + - It is composed of: + - Program. + - Data. + - **Process Control Block (PCB)**: contains the state of the process in execution. + - ## Process Execution #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:14:34.752Z + card-last-score:: 1 + - In order to execute, a process needs an **Abstract Machine Environment** to manage its use of resources. + - The **Process Control Block (PCB)** is required to map the environment state onto the physical machine state. + - The OS keeps a **process descriptor** for each process. + - ![image.png](../assets/image_1664197421384_0.png) + - ## Program Execution #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:09:10.088Z + card-last-score:: 1 + - Each execution of a program generates a process that is executed. + - Inter-process relationships: + - **Competition:** Processes are trying to get access to the same resources of the system, therefore a protection between processes is necessary. + - **Cooperation:** Sometimes the processes need to communicate between themselves and exchange information - synchronisation is needed. + - ## Process Manager #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-11-17T20:18:15.885Z + - What does the **Process Manager** do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:13:51.555Z + card-last-score:: 1 + - The **Process Manager** implements: + - **CPU Sharing** (called *scheduling*): Allocate resources to processes in conformance with certain policies. + - **Process Synchronisation** & **Inter-Process Communication**: Deadlock strategies & protection mechanisms. + - ![image.png](../assets/image_1664197699342_0.png) + - ## Process - User Perspective + - When processes are executed in a quasi-parallel fashion, the processes need to synchronise to each other for correct functionality - this is done with directives `wait`/`signal`. + - `wait`- wait for a signal from a specific process. + - `signal` - send a signal to a specific process. + - ## Process - OS Perspective #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-24T00:00:00.000Z + card-last-reviewed:: 2022-11-23T12:20:00.645Z + card-last-score:: 1 + - The processor's principle function is to execute machine instruction residing in main memory. + - These instructions are provided in the form of *programs*. + - A processor may interleave the execution of a number of programs over time. + - ### Program View + - Its execution involves a sequence of instructions within that progam. + - The behaviour of individual processes can be characterised by a sequence of instructions called the ***trace*** of the process. + - ### Processor View + - The processor executes instructions from main memory, as dictated by changing values in the Program Counter (PC) register. + - The behaviour of the processor can be characterised by showing how the traces of various processes are **interleaved**. + - ## State Process Models + - ### Two-State Process Model #card + card-last-interval:: 15.48 + card-repeats:: 4 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-30T07:19:45.198Z + card-last-reviewed:: 2022-11-14T20:19:45.199Z + card-last-score:: 3 + - The process can be in one of two states: *running* or not *running*. + - When the OS creates a new process, it enters into the *not running* state; after that, the process exists - it is known to the OS and waits for the opportunity to run. + - From time to time, the currently running process will be interrupted and the dispatcher process will select a new process to run. + - The new process will be moved to the *running* state and the former one to the *not running* state. + - #### Two-State Model Queuing Discipline #card + card-last-interval:: 1.01 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T20:13:25.916Z + card-last-reviewed:: 2022-11-14T20:13:25.916Z + card-last-score:: 3 + - Each process needs to be represented. + - Information relating to each process, including current state & location in memory. + - Waiting processes should be kept in some kind of queue. + - List of pointers to processes blocks. + - Linked list of data blocks, each block representing a process. + - Dispatcher behaviour: + - An interrupted process is transferred to the *waiting queue*. + - If the process is completed or aborted, it is discarded. + - The dispatcher selects a process from the queue to execute. + - ### Five-State Process Model #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T16:27:46.160Z + card-last-reviewed:: 2022-11-14T16:27:46.161Z + card-last-score:: 3 + - **Running:** The process is currently being executed. + - For single-processor systems, one single process can be in this state at a time. + - **Ready:** The process is prepared to execute when given the turn. + - **Blocked:** The process cannot execute until some event occurs. + - Such as the completion of an I/O operation. + - **New:** The process has been created, but has not yet been accepted in the pool of executable processes by the OS. + - Typically, a new process has not yet been loaded into main memory. + - **Exit:** The process has been released from the pool of executable processes by the OS. + - Completed or due to some errors. + - #### Five-State Model Process Transition Diagram + - ![image.png](../assets/image_1664199064013_0.png) + - #### Five-State Model Queuing Discipline #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:38.089Z + card-last-score:: 1 + - There are two types of queues: the **ready queue** & the **blocked queue**. + - When a process is admitted into the system, it is placed in the **ready** queue. + - When a process is removed from the processor, it is either placed in the **ready** queue or the **blocked** queue, depending on the circumstances. + - When an event occurs, all the processes waiting on that event are moved from the **blocked** queue into the **ready** queue. + - ![image.png](../assets/image_1664199424570_0.png) + - There are multiple **blocked** queues - one per event. + - When the event occurs, the entire list of processes is moved to the **ready** queue. + - ![image.png](../assets/image_1664199491346_0.png) + - #### Suspended Processes #card + card-last-interval:: 0.79 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T10:27:13.430Z + card-last-reviewed:: 2022-11-14T16:27:13.430Z + card-last-score:: 3 + - The processor is faster than I/O so all the processes could be waiting for I/O. + - You can swap these processes to the disk to free up some memory. + - The *blocked* state becomes the *suspended* state when swapped to the disk. + - ![image.png](../assets/image_1664199613805_0.png) + - ## Process Creation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:35:10.727Z + card-last-score:: 1 + - Creation of new processes: + - The OS builds the data structures that are used to manage the process. + - The OS allocates space in main memory to the process. + - Reasons for process creation: + - New batch job. + - Interactive logon. + - Created by OS to provide a service. + - i.e., process to control printing. + - Spawned by existing process. + - i.e., to exploit parallelism. + - ## Process Termination + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-10-08T15:27:20.789Z + - Reasons for **Process Termination**: #card + card-last-interval:: 8.88 + card-repeats:: 3 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-23T13:37:45.614Z + card-last-reviewed:: 2022-11-14T16:37:45.615Z + card-last-score:: 3 + - Process finished its execution (**natural completion**). + - Total time limit exceeded. + - Errors (memory unavailable, arithmetic error, protection error, invalid instruction, privileged instruction, I/O failure, etc.). + - ## Process Management Services #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:43:04.324Z + card-last-score:: 1 + - `create(&process_id, attributes)` + - Creates a new process with implicit or specified attributes. + - `delete(process_id)` + - Sometimes known as `destroy`, `terminate`, or `exit`. + - Ends the process specified by `process_id`. + - Whenever the process is terminated, all the files are closed, and all the allocated resources are released. + - `abort(process_id)` + - The same as `delete` but for *abnormal termination*. + - Usually generates a "**post-mortem dump**" which contains the state of the process before the abnormal termination. + - `suspend(process_id)` + - Puts the specified process into a **suspended** state. + - `resume(process_id)` + - Moves the specified process from the *suspended* state to the *ready* state. + - `delay(process_id, time)` + - Suspends the specified process for a specified period of time. + - After the delay time elapses, the process is moved to the ready state. + - `get_attribtutes(process_id, &buffer_attributes)` + - Used to find out the attributes for the given process. + - `set_attributes(process_id, buffer_attributes)` + - Used to set the attributes of the specified process. + - + - ## Process Description + - ### OS Control Structures #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:10.635Z + card-last-score:: 1 + - #### Memory Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:25.598Z + card-last-score:: 1 + collapsed:: true + - **Memory Tables** are used to keep track of both main (real) and secondary (virtual) memory. + collapsed:: true + - Some of the main memory is reserved for use by the OS, the remainder is available to the processes. + - Memory Tables contain: + - The allocation of main memory to processes. + - The allocation of secondary memory to processes. + - Any *protection* attributes of blocks of main or virtual memory (such as which processes can access certain shared memory regions). + - Any information needed to manage virtual memory. + - #### I/O Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:35:16.384Z + card-last-score:: 1 + collapsed:: true + - **I/O Tables** are used by the OS to manage the I/O devices. + - At any given time, an I/O device may be available or assigned to a particular process. + - If an I/O operation is in progress, the OS needs to know the status of the I/O operation and the location in main memory being used as the source or destination of the I/O transfer. + - #### File Tables #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T19:40:13.935Z + card-last-score:: 1 + collapsed:: true + - **File Tables** provide information about: + - The existence of files. + - Their location in secondary memory. + - Their current status. + - Other attributes. + - Much of this information is maintained & managed by the **File Manager**, in which case the process manager has little or no knowledge of files. + - ### Process Tables + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-07T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-07T10:23:42.819Z + collapsed:: true + - What is the **Primary Process Table**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:29.312Z + card-last-score:: 1 + - The **Primary Process Table** keeps one entry per each process in the operating system. + - Each entry contains at least one pointer to a **process image**. + - ### Process Image #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:31.530Z + card-last-score:: 1 + collapsed:: true + - The **Process Image** contains: + - **Stack** + collapsed:: true + - Each process has one or more stack(s) associated with it. + - A **stack** is used to store parameters & calling addresses for procedure & system calls. + - **User Data** + collapsed:: true + - Program data that can be modified, etc. + - **Process Control Block** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-23T00:00:00.000Z + card-last-reviewed:: 2022-11-22T13:37:47.650Z + card-last-score:: 1 + collapsed:: true + - Data needed by the OS to control the process (attributes & information about the process). + - Contains: + - **Process Identification:** The data always includes a unique identifier for the process. + - Numeric identifiers that may be stored with the **Process Control Block** include the **identifier of this process**, the **identifier of the process that created this process** (parent process), and the **User Identifier**. + - **Processor State Information:** Defines the status of a process when it is suspended. + - **User-Visible Registers** + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-10-08T23:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-10-08T15:22:36.520Z + - What is a **User-Visible Register**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:49:41.863Z + card-last-score:: 1 + - A **user-visible register** is one that may be referenced by means of the machine language that the processor executes. + - **Control & Status Registers** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:08:22.338Z + card-last-score:: 1 + - These are a variety of processor registers that are employed to control the operation of the processor. These include: + - **Program Counter:** Contains the address of the next instruction to be fetched. + - **Condition Codes:** Result of the most recent arithmetic or logical operation. + - **Status Information:** Includes interrupt enabled/disabled flags, execution mode. + - **Stack Pointers** + - Each process has one or more LIFO system stacks associated with it. A stack is used to store parameters & calling addresses for procedure & system calls. + - The stack pointer points to the top of the stack. + - **Processor Control Information:** Used by the OS to manage the process. + - **Scheduling & State Information** #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:26:18.371Z + card-last-score:: 1 + - This is information that is needed by the operating system to perform its scheduling function. Typical items of information include: + - **Process State:** Defines the readiness of the process to be scheduled for execution (e.g., running, ready, waiting, halted). + - **Priority:** One or more fields may be used to describe the scheduling priority of the process. In some systems, several values are required (e.g., default, current, highest-allowable). + - **Scheduling-Related Information:** This will depend on the scheduling algorithm used. Examples are the amount of time that the process has been waiting an the amount of time that the process executed the last time it was running. + - **Event:** Identity of the even the process is awaiting before it can be resumed. + - **Data Structuring:** A process may be linked to another process in a queue or other structure. + - **Inter-Process Communication:** Various flags, signals, & messages may be associated with communication between two independent processes. + - **Process Privileges:** Processes are granted privileges in terms of the memory that may be accessed and the types of instruction that may be executed. In addition, privileges may apply to the use of system utilities & services. + - **Memory Management:** This section may include pointers to segment and/or page tables that describe the virtual memory assigned to this process. + - **Resource Ownership & Utilisation:** resources controlled by the processes may be indicated, such as opened files. A history of utilisation of the processor or other resources may also be included. + - This information may be needed by the scheduler. + - +- ## Threads & Processes + - A **process** is sometimes defined as a *heavyweight process*. + - A **thread** is defined as a *lightweight process*. + - Separate two ideas: + - **Process:** Ownership of memory, files, other resources. + - Execution of applications. + - **Thread:** Unit of execution we use to dispatch. + - Share the same address space hence we can read from and write to the same data structures. + - What is **multithreading**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:15:51.123Z + card-last-score:: 1 + - **Multithreading** allows multiple threads per process. + - What is a **thread**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:35:09.592Z + card-last-score:: 1 + - A **thread** is a unit of computation associated with a particular heavyweight process, using many of the associated process's resources. + - It has a minimum of internal state & a minimum of allocated resources. + - A group of threads are share the same resources. + - e.g., files, memory space, etc. + - The **process** is the execution environment for a family of threads. + - A process with one thread is a **classic process**. + - Each thread has an individual execution state. + - Each thread has a control block, with a state (Running / Blocked / etc.), saved registers, an instruction pointer. + - There is a separate stack & hardware state (PC, registers, PSW, etc.) per thread. + - Shares memory & files with other threads that are in that process. + - Faster to create a thread than a process. + - ![image.png](../assets/image_1664209742517_0.png) \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Process Synchronisation.md b/second/semester1/logseq-stuff/pages/Process Synchronisation.md new file mode 100644 index 00000000..285f38db --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Process Synchronisation.md @@ -0,0 +1,552 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[CPU Management - Scheduling]] +- **Next Topic:** [[Memory Management]] +- **Relevant Slides:** ![Lecture 6.pdf](../assets/Lecture_6_1665406709809_0.pdf) +- +- # Concurrent Programming + collapsed:: true + - What are **Concurrent Programs**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-21T09:47:57.127Z + card-last-reviewed:: 2022-11-17T09:47:57.127Z + card-last-score:: 3 + - **Concurrent Programs** are interleaving sets of sequential atomic instructions. + - i.e., interacting sequential processes that run at the same time, on the same or different processors. + - Processes are **interleaved** - at any time, each processor runs an instruction of the sequential processes. + - ## Correctness + - Generalisation: A program will be correct if its preconditions hold, as then its post conditions will also hold. + - A concurrent program must be correct under ^^all possible **interleavings**.^^ + - If all the maths is done in registers, then the results will depend on **interleaving** (indeterminate calculation). + - This dependency on unforeseen circumstances is known as a **Race Condition**. + - What is a **Race Condition**? #card + card-last-interval:: 0.88 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T06:49:18.142Z + card-last-reviewed:: 2022-11-17T09:49:18.143Z + card-last-score:: 3 + - A **Race Condition** occurs when a program output is dependent on the sequence or timing of code execution. + - If multiple processes of execution enter a **critical section** at about the same time, both will attempt to update the shared data structure. + - This will lead to surprising & undesirable results. + - You must work to avoid this with concurrent code. + - If we get different results every time we run some code, the result is **indeterminate**. + - What is a **Critical Section**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:47:41.294Z + card-last-score:: 1 + - A **critical section** is a part of a program where a shared resource is accessed. + - A critical section must be protected in ways that avoid concurrent access. + - What are **Deterministic Computations**? #card + card-last-interval:: 0.98 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T19:07:48.411Z + card-last-reviewed:: 2022-11-14T20:07:48.412Z + card-last-score:: 3 + - **Deterministic Computations** have the same result each time. + - We want deterministic concurrent code. + - We can use synchronisation mechanisms. + - ### Handling Race Conditions + - We need a mechanism to control access to shared resources in concurrent code - **Synchronisation** is necessary for any shared data structure. + - The idea is to focus on the critical sections of the code, i.e., sections that access shared resources. + - We want critical sections to run with **mutual exclusion** - only one process should be able to execute that code at the same time. + - #### Critical Section Properties #card + card-last-interval:: 0.98 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-24T11:17:06.949Z + card-last-reviewed:: 2022-11-23T12:17:06.950Z + card-last-score:: 3 + - **Mutual Exclusion:** Only one process can access the critical section at a time. + - **Guarantee of Progress:** Processes outside the critical section cannot stop another from entering it. + - **Bounded Waiting:** A process waiting to enter the critical section will eventually enter. + - Processes in the critical section will eventually leave. + - **Performance:** The overhead of entering / exiting should be small. + - **Fair:** Don't make certain processes wait much longer than others. + - #### Atomicity #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:48:51.808Z + card-last-score:: 1 + - Basic atomicity is provided by the hardware. + - E.g., References & Assignments (i.e., read & write operations) are atomic in all CPUs. + - However, higher-level constructs (i.e., any sequence of two or more CPU instructions) are not atomic in general. + - Some languages (e.g., Java) have mechanisms to specify multiple instructions as atomic. + - #### Conditional Synchronisation + - Strategy: Person $A$ writes a rough draft and then Person $B$ edits it. + - $A$ & $B$ cannot write at the same time (as they are working on different versions of the paper). + - We must ensure that $B$ cannot start until $A$ is finished. + - ![image.png](../assets/image_1665408592493_0.png) + - +- # Mutual Exclusion Solutions + collapsed:: true + - ## Locks + collapsed:: true + - What is a **lock**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-16T00:00:00.000Z + card-last-reviewed:: 2022-11-15T18:42:37.491Z + card-last-score:: 1 + - A **lock** is a token that you need to enter a critical section of code. + - If a process wants to execute a critical section, it must have the lock. + - Need to ask for lock. + - Need to release lock. + - There are no restrictions on executing other code. + - ![image.png](../assets/image_1665408998543_0.png) + - ### Lock States & Operation #card + card-last-interval:: 0.95 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-22T11:06:37.168Z + card-last-reviewed:: 2022-11-21T13:06:37.168Z + card-last-score:: 3 + - Locks have 2 states: + - **Held:** Some process is in the critical section. + - **Not Held:** No process is in the critical section. + - Locks have 2 operations: + - **Acquire:** Mark lock as held or wait until released. If not **held**, this is executed immediately. + - If many processes call acquire, only one process can get the lock. + - **Release:** Mark lock as **not held**. + - ### Using Locks #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T15:07:42.144Z + card-last-reviewed:: 2022-11-14T20:07:42.144Z + card-last-score:: 5 + - Locks are declared like variables. + - `Lock myLock;` + - A program can use multiple locks. + - To use a lock, surround the critical section as follows: + - Call `acquire()` at the start of the critical section. + id:: 63442116-a2c1-4c25-9309-e880471bb359 + - Call `release()` at the end of the critical section. + - ![image.png](../assets/image_1665409357957_0.png) + - ### Lock Benefits #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T19:36:01.540Z + card-last-score:: 1 + - Only one process can execute the critical section code at a time. + - When a process is finished (& calls `release()`), another process can enter the critical section. + - Achieves the requirements of **mutual exclusion** & **progress** for concurrent systems. + - ### Lock Limitations #card + card-last-interval:: 0.98 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T19:09:12.011Z + card-last-reviewed:: 2022-11-14T20:09:12.011Z + card-last-score:: 3 + - Acquiring a lock only blocks processes trying to acquire the *same* lock. + - Process may acquire other locks. + - ^^You must use the same lock for all critical sections accessing the same data (or resource).^^ + - ### Hardware-Based Lock + - Processor has a special instruction called "test & set". + - Allows atomic read **and** update. + - ```c + //c code for test and set behaviour + bool test_and_set (bool *flag) { + bool old = *flag; + *flag = true; + return old; + } + ``` + - #### Hardware-Based Spinlock + - ```c + struct lock { + bool held; //initially FALSE + } + void acquire(lock) { + while(test_and_set(&lock->held)) + ; //just wait + return; + } + void release(lock) { + lock->held = FALSE; + } + ``` + - #### Drawbacks of Spinlocks #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-18T06:09:40.073Z + card-last-reviewed:: 2022-11-14T20:09:40.073Z + card-last-score:: 3 + - Spinlocks are a form of **busy waiting** -> they burn CPU time. + - Once acquired, they are held until explicitly released. + - Inefficient if the lock is held for long periods. + - OS overhead of context switching. + - If the Process Scheduler makes processes sleep while the lock is held, all other processes use their CPU time to spin while the process with the lock make no progress. + - ### Do locks give us sufficient safety? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:24:13.793Z + card-last-score:: 1 + - If you can demonstrate *any* cases in which the following properties do not hold, then the system is **not correct**. + - 1. **Check Safety Properties:** These must *always* be true. + - **Mutual Exclusion:** Two processes must not interleave certain sequences of instructions. + - **Absence of Deadlock:** **Deadlock** is when a non-terminating system cannot respond to any signal. + - 2. **Check Liveness Properties:** These must *eventually* be true. + - **Absence of Starvation:** Information that is sent is delivered. + - **Fairness:** Any contention must be resolved. + - ### Lock Deadlock Scenario + - ![image.png](../assets/image_1665411940127_0.png) + - ### Protocols to Avoid Deadlock #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:09:06.660Z + card-last-score:: 1 + - Add a timer to the `lock.request()` method. + - Cancel the job & attempt it another time if it takes too long. + - Add a new `lock.check()` method to see if a lock is already held before requesting it. + - You can do something else and come back & check again. + - Avoid hold & wait protocol. + - Never hold onto one resource when you need two. + - ### Livelock by trying to avoid deadlock + - ![image.png](../assets/image_1665412210604_0.png) + - ### Starvation + - What is **Starvation**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:08:54.153Z + card-last-score:: 1 + - **Starvation** is a more general case of livelock. + - One or more processes do not get run as another process is locking the resource. + - ### Locks / Critical Sections & Reliability + - What if a process is interrupted, suspended, or crashes inside its critical section? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:17:34.955Z + card-last-score:: 1 + - In the middle of the critical section, the system may be in an inconsistent state. The process is holding a lock, and if it dies, no other process waiting on that lock can proceed. + - Developers must ensure that critical regions are very short and always terminate. + - ### Beyond Locks + - Locks only provide **mutual exclusion**. + - They ensure that only one process is in the critical section at a time. + - Locks are good for protecting our shared resource to prevent race conditions & avoid non-deterministic execution. + - What about fairness, avoiding starvation, & livelock? + - We need to be able to place an ordering on the scheduling of a process. + - + - ## Semaphores + collapsed:: true + - Example: We want to place an order on when processes execute. + background-color:: green + - Producer-Consumer: + - Producer: Creates a resource (data). + - Consumer: Uses a resource (data). + - E.g.: `ps | grep "gcc" | wc`. + - Don't want producers & consumers to operate in **lockstep** (i.e., atomicity). + - Each command must wait for the previous output. + - Implies lots of context switching (i.e., very expensive). + - ^^**Solution:** Place a fixed-size buffer between producers & consumers.^^ + - ^^Synchronise access to buffer.^^ + - ^^Producer waits if the buffer is full; the consumer waits if the buffer is empty.^^ + - What is a **semaphore**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:50:12.454Z + card-last-score:: 1 + - A **semaphore** is a higher-level synchronisation primitive. + - Semaphores are a kind of **generalised lock**. + - They are the main synchronisation primitive used in the original UNIX. + - Semaphores are implemented with a **counter** that is manipulated atomically via 2 operations: **signal** & **wait**. + - `wait(semaphore)`: AKA `down()` or `P()`. + - **Decrement** counter. + - If counter is zero, then block until semaphore is **signalled**. + - `signal(semaphore)`: AKA `up()` or `V()`. + - **Increment** counter. + - Wake up one **waiter**, if any. + - `sem_init(semaphore, counter)`: + - Set initial counter value. + - ### Semaphore PseudoCode #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:13:51.708Z + card-last-score:: 1 + - `wait()` & `signal()` are **critical sections**. + - Hence, they must be executed **atomically** with respect to each other. + - Each semaphore has an associated queue of processes. + - When `wait()` is called by a process: + - If the semaphore is available -> the process continues. + - If the semaphore is unavailable -> the process blocks, waits on queue. + - `signal()` opens the semaphore. + - If processes are waiting on a queue -> one process is unblocked. + - If no processes are on the queue -> the signal is remembered for the next time `wait()` is called. + - Note: Blocking processes is **not** spinning - they release the CPU to do other work. + - ```pseudocode + struct semaphore { + int value; + queue L[]; // list of processes + } + - wait (S) { + if (s.value > 0) { + s.value--; + } + else { + add this process to s.L; + block; + } + } + - signal(S) { + if (S.L != EMPTY) { + remove a process P from S.L; + wakeup(P); + } + else { + s.value++; + } + } + ``` + - ### Semaphore Initialisation + - If the semaphore is initialised to `1`: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:52:48.262Z + card-last-score:: 1 + - The first call to `wait` goes through -> The semaphore value goes from `1` to `0`. + - The second call to `wait` **blocks** -> The semaphore value stays at `0`, the process goes on the queue. + - If the first process calls `signal()` -> The semaphore value stays at `0` and wakes up the second process. + - The semaphore acts like a **mutex lock**. + - We can use semaphores to implement locks. + - This is called a **binary semaphore**. + - If the semaphore is initialised to `2`: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:51:38.462Z + card-last-score:: 1 + - The initial value of the semaphore = the number of processes that can be active at once. + - `sem_init(sem, 2)`: + - `value = 2, L = []`. + - Consider multiple processes: + - Process1: `wait(sem)`. + - `value = 1, L = []` -> P1 executes. + - Process2: `wait(sem)`. + - `value = 0, L = []` -> P2 executes. + - Process3: `wait(sem)`. + - `value = 0, L = [P3]` -> P3 blocks. + - ### Counting Semaphores #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:52:26.139Z + card-last-score:: 1 + - Allocating a number of resources. + - Shared buffers: each time you want to access a buffer, call `wait()`. + - You are queued if there is no buffer available. + - Counter is initialised to $N$ = number resources. + - This is called a **counting semaphore**. + - Useful for **conditional synchronisation**. + - i.e., if one process is waiting for another process to finish a price of work before it continues. + - ### Semaphores for Mutual Exclusion #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:15:56.292Z + card-last-score:: 1 + - With semaphores, guaranteeing mutual exclusion for $N$ processes is trivial. + - ```c + semaphore mutex = 1; + + void Process(int i) { + while (1) { + // Non-Critical Section Bit + wait(mutex); // grab the mutual exclusion semaphore + // Do the Critical Section Bit + signal(mutex); + } + } + + int main() { + cobegin { + Process(1); Process(2); + } + } + ``` + - ### Bounded Buffer Problem #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:37:38.649Z + card-last-score:: 1 + - Producer-Consumer Problem: + - Buffer in memory - finite size of $N$ entries. + - A producer process inserts an entry into the buffer. + - A consumer process removes an entry from the buffer. + - Processes are **concurrent** - we must use a synchronisation mechanism to control access to shared variables describing the buffer state. + - #### Producer-Consumer Single Buffer + - Simplest case: + - Single producer process & single consumer process. + - Single shared buffer between the producer & consumer. + - Requirements: + - Consumer must wait for Producer to fill the buffer. + - Producer must wait for the Consumer to empty the buffer (if filled). + - ![image.png](../assets/image_1667814474478_0.png) + - + - ### Semaphores Can Be Hard to Use #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:24:06.193Z + card-last-score:: 1 + - Complex patterns of resource usage. + - Cannot capture relationships with semaphores alone. + - Need extra state variables to record information. + - Produce buggy code that is hard to write. + - E.g., if one coder forgets to do `V()`/`signal()` after a critical section, the whole system can deadlock. + - ## Monitors + collapsed:: true + - What are **Monitors**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-24T00:00:00.000Z + card-last-reviewed:: 2022-11-23T12:18:42.748Z + card-last-score:: 1 + - **Monitors** are an extension of the monolithic monitor used in the OS to allocate memory. + - A programming language construct that supports controlled access to shared data. + - Synchronisation code added by compiler, enforced at runtime -> less work for programmer. + - Monitors can keep track of **who** is allowed to access the shared data and **when** they can do it. + - Monitors are a higher-level construct than semaphores. + - Monitors encapsulate: + - Shared data structures. + - Procedures that operate on shared data. + - Synchronisation between concurrent processes that invoke these procedures. + - +- # Detection & Protection of Deadlock + - ## Requirements for Deadlock #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:37:21.446Z + card-last-score:: 1 + - All four conditions must hold for deadlock to occur: + - 1. **Mutex:** At least **one** resource must be **non-shareable**. + 2. **No Pre-Emption:** Resources cannot be **pre-empted** (no way to break priority or take a resource away once allocated). + - Locks have this property. + - 3. **Hold & Wait:** There is an existing process holding a resource and waiting for another resource. + 4. **Circular Wait:** There exists a set of process $P_1, P_2, \cdots, P_N$ such that $P_1$ is waiting for $P_2$, $P_2$ is waiting for $P_3$, ..., and $P_N$ is waiting for $P_1$. + - If only three conditions hold then you can get **starvation**, but not deadlock. + - ## Deadlocks Without Locks #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:13:42.597Z + card-last-score:: 1 + - Deadlocks can occur for any resource or any time a process waits, e.g.: + - Messages: waiting to receive a message before sending a message. + - i.e., hold & wait. + - Allocation: waiting to allocate resources before freeing another resource. + - i.e., hold & wait. + - ## Dealing with Deadlocks #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-24T00:00:00.000Z + card-last-reviewed:: 2022-11-23T12:16:50.624Z + card-last-score:: 1 + - ### Strategy 1: Ignore #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:14:57.281Z + card-last-score:: 1 + - Ignore the fact that deadlocks may occur. + - Write code, put nothing special in. + - Sometimes you have to reboot the system. + - May work for some unimportant or simple applications where deadlock does not occur often. + - Quite a common approach. + - ### Strategy 2: Reactive #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:37:05.883Z + card-last-score:: 1 + - Periodically check for evidence of a deadlock. + - E.g., add timeouts to acquiring a lock, if you timeout, then it implies that deadlock has occurred and you must do something. + - Recovery actions: + - Blue screen of death & reboot computer. + - Pick a process to terminate, e.g., a low-priority one. + - Only works with some types of applications. + - May corrupt data, so the process needs to do clean-up when terminated. + - ### Strategy 3: Proactive #card + collapsed:: true + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:18:36.908Z + card-last-score:: 1 + - Prevent one of the four necessary conditions for deadlock. + - No single approach is appropriate (or possible) for all circumstances. + - Need techniques for each of the four conditions. + - #### Solution 1: No Mutual Exclusion + - Make resources shareable. + - E.g., read-only files - no need for locks. + - ### Solution 2: Adding Pre-Emption + - Locks cannot be pre-empted but other pre-emptive methods are possible. + - Strategy: pre-empt resources. + - Example: If process $A$ is waiting for a resource held by process $B$, then take the resource from $B$ and give it to $A$. + - Problems: + - Only works for some resources + - E.g., CPU & Memory (using virtual memory). + - Not possible if a resource cannot be saved & restored. + - Otherwise, taking away a lock causes issues. + - Also, there is an overhead cost for "pre-empt" & "restore". + - ### Solution 3: Avoid Hold & Wait + - Only request a resource when you have none, i.e., release a resource before requesting another. + - Never hold $x$ when want $y$. + - Works in many cases, but you cannot maintain a relationship between $x$ & $y$. + - Acquire all resources at once, e.g., use a single lock to protect all data. + - Having fewer locks is called **lock coarsening**. + - Problem: All processes accessing $A$ or $B$ cannot run at the same time, even if they don't access both variables. + - #### Solution 4: Eliminate Circular Waits + - Strategy: Impose an ordering on resources. + - Processes must acquire the highest-ranked resource first. + - Locks are always acquired in the same order. + - We have eliminated the circular dependency, but we will need to lock a resource for a longer period. + - Strategy: Define an ordering of **all** locks in your program. + - Always acquire locks in that order. + - Problem: Sometimes you do not know the order that the events will be used. + - How do we know the global order? + - Need extra code to find this out and then acquire them in the right order. + - It could get worse. + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Programming Models.md b/second/semester1/logseq-stuff/pages/Programming Models.md new file mode 100644 index 00000000..971090b9 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Programming Models.md @@ -0,0 +1,401 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Overview of Computer Systems]] +- **Relevant Slides:** ![Lecture02.pdf](../assets/Lecture02_1662842733013_0.pdf) +- +- What is a **Processor Programming Model**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:46:41.751Z + card-last-score:: 1 + - A **Processor Programming Model** defines ^^how instructions access their operands and how instructions are described in the processor's assembly language.^^ + - Processors with different programming models can offer similar sets of operations but may require very different approaches to programming. +- +- ## Instructions + - What is the **Instruction Cycle**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:49.011Z + card-last-reviewed:: 2022-11-14T16:51:49.012Z + card-last-score:: 5 + - The **Instruction Cycle** is the ^^procedure of processing an instruction^^ by the microprocessor. + - **Fetch:** read the instructions from memory + - **Decode:** Determine what is to be done + - **Execute:** Perform the operation + - Each of the functions fetch -> decode -> execute consist of a sequence of one or more operations inside the CPU (and interaction with the subsystems). + - ### Types of Instructions + - #### Data Transfer Instructions + - What are **Data Transfer Instructions**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:37.887Z + card-last-reviewed:: 2022-11-14T16:51:37.888Z + card-last-score:: 5 + - Operations that ^^move data^^ from one place to another. + - These instructions ^^don't modify^^ the data, they just copy it to the destination. + - What operations can data transfer instructions do? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:33:36.553Z + card-last-score:: 1 + - card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:40:37.309Z + card-last-score:: 1 + 1. **Load data** from memory into the microprocessor. #card + - These instructions copy data from memory into microprocessor registers (i.e., LD). + - card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:48:21.927Z + card-last-reviewed:: 2022-11-14T16:48:21.927Z + card-last-score:: 5 + 2. **Store data** from the microprocessor into the memory. #card + - Similar to load data, except that the data is copied in the opposite direction (i.e., ST). + - Data is saved from internal microprocessor registers into the memory + - card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:29:32.655Z + card-last-reviewed:: 2022-10-03T14:29:32.655Z + card-last-score:: 5 + 3. **Move data** within the microprocessor. + - These instructions move data from one microprocessor register to another (i.e., MOV) + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:44:07.730Z + card-last-reviewed:: 2022-09-19T17:44:07.731Z + card-last-score:: 5 + 4. **Input data** into the microprocessor. + - A microprocessor may need to input data from the outside world. + - These are the instructions that input data from the input device into the microprocessor. + - card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-09-23T17:47:33.165Z + card-last-reviewed:: 2022-09-19T17:47:33.165Z + card-last-score:: 5 + 5. **Output data** from the microprocessor. + - The microprocessor copies data from one of its internal registers to an output device. + - Example: the microprocessor may want to show the content of an internal register on a display (the key has been pressed) (i.e., IOWR). + - #### Data Operation Instructions #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:47:54.439Z + card-last-score:: 1 + - Instructions that *do* modify their data values. + - They typically perform some operation (e.g., +, -, *) using one or two data values (operands) and store the result. + - What operations can data operation instructions do? #card + card-last-interval:: 30.47 + card-repeats:: 4 + card-ease-factor:: 2.76 + card-next-schedule:: 2022-12-15T07:20:59.244Z + card-last-reviewed:: 2022-11-14T20:20:59.245Z + card-last-score:: 5 + - **Arithmetic Instructions** #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-27T12:19:15.119Z + card-last-reviewed:: 2022-11-23T12:19:15.119Z + card-last-score:: 5 + - add, subtract, multiply, or divide + - ADD, SUB, MUL, DIV + - Instructions that increment or decrement one from a value + - INC, DEC + - Floating point instructions that operate on floating point values + - FADD, FSUB, FMUL, FDIV + - **Logic Instructions** + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T15:43:49.421Z + card-last-reviewed:: 2022-10-03T11:43:49.421Z + card-last-score:: 5 + - AND, OR, XOR, NOT, etc. + - **Shift Instructions** + card-last-interval:: 10.92 + card-repeats:: 3 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-10-11T06:45:44.876Z + card-last-reviewed:: 2022-09-30T08:45:44.877Z + card-last-score:: 5 + - SR, SL, RR, RL, etc. + - #### Program Control Instructions #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T00:29:50.214Z + card-last-reviewed:: 2022-11-14T16:29:50.214Z + card-last-score:: 5 + - **Jump** or **branch** instructions are used to ^^go to another part of the program^^; Jumps can be **absolute** or **conditional**. + - e.g., if, then, else. + - Instructions that can generate **interrupts**. + - Software interrupts. + - **Jump & branch instructions** (conditional or unconditional) + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-10-14T18:27:30.317Z + card-last-reviewed:: 2022-10-03T14:27:30.317Z + card-last-score:: 5 + - **JZ:** Jump if the zero flag is set. + - **JNZ:** Jump if the zero flag is **not** set. + - **JMP:** Unconditional jump - flags are ignored. + - etc. + - **Comparison Instructions** #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-09T18:30:16.818Z + card-last-reviewed:: 2022-11-11T11:30:16.819Z + card-last-score:: 5 + - TEST: logical BITWISE AND + - **Calls & Returns** a / from a routine (conditional or unconditional) #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-18T20:24:48.750Z + card-last-reviewed:: 2022-11-14T20:24:48.750Z + card-last-score:: 5 + - **Call:** call a subroutine at a certain line. + - **RET:** return from a subroutine. + - **IRET:** interrupt & return. + - **Software Interrupts** #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T10:59:57.740Z + card-last-reviewed:: 2022-11-14T19:59:57.740Z + card-last-score:: 5 + - Generated by devices outside of a microprocessor (not part of the instruction set). + - INT + - **Exceptions & Traps** #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-26T00:12:13.565Z + card-last-reviewed:: 2022-11-14T20:12:13.565Z + card-last-score:: 5 + - Triggered when valid instructions perform invalid operations. + - e.g., dividing by zero. + - **Halt Instructions** #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:49:58.118Z + card-last-reviewed:: 2022-11-14T16:49:58.118Z + card-last-score:: 5 + - Causes the processor to stop executions. + - e.g., at the end of the program. + - HALT +- +- ## Stack Architectures + - ### The Stack + - **Last In First Out (LIFO)** data structure. + - Consists of **locations**, each of which can hold a **word of data**. + - It can be used to explicitly **save / restore** data. + - What operations does the stack support? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:00:04.531Z + card-last-reviewed:: 2022-11-14T20:00:04.532Z + card-last-score:: 5 + - The stack supports ^^two operations.^^ + - **PUSH:** takes one argument and places the value of the argument at the top of the stack. + - **POP:** removes one element from the stack, saving it into a predefined register of the processor. + - The stack is ^^used implicitly by procedure call instructions.^^ + - (if available in the data set). + - When new data is added to the stack, it is placed at the top of the stack, and all of the contents of the stack are pushed down one location. + - ### Implementing Stacks + - What are the two ways to implement a stack? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-20T22:45:42.001Z + card-last-reviewed:: 2022-11-09T12:45:42.002Z + card-last-score:: 3 + - card-last-interval:: 7.76 + card-repeats:: 3 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-22T10:43:10.114Z + card-last-reviewed:: 2022-11-14T16:43:10.114Z + card-last-score:: 3 + 1. **Dedicated Hardware Stack** #card + - Has a ^^hardware limitation^^ (limited number of locations). + - Very fast. + - card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-12T23:52:10.829Z + card-last-reviewed:: 2022-11-14T16:52:10.829Z + card-last-score:: 3 + 2. **Memory Implemented Stack** #card + - Limited by the ^^physical memory of the system.^^ + - Slow compared with hardware stacks, since extra memory addressing has to take place for each stack operation. + - ![image.png](../assets/image_1662989698764_0.png){:height 405, :width 638} + - Every **push operation** will ^^increment the top of the **stack pointer**^^ with the word size of the machine. + - Every **pop operation** will ^^decrement the top of the stack pointer^^ (with the word size of the machine). + - **Stack overflows** can occur in both stack implementations + - What is a **stack overflow**? #card + card-last-interval:: 97.56 + card-repeats:: 5 + card-ease-factor:: 2.9 + card-next-schedule:: 2023-02-20T09:22:00.580Z + card-last-reviewed:: 2022-11-14T20:22:00.581Z + card-last-score:: 5 + - A **stack overflow** occurs when the amount of data in the stack exceeds the amount of space allocated to the stack (or the hardware limit of the stack). + - ### Instructions in Stack-Based Architecture #card + card-last-interval:: 33.96 + card-repeats:: 5 + card-ease-factor:: 2.04 + card-next-schedule:: 2022-12-18T19:21:47.052Z + card-last-reviewed:: 2022-11-14T20:21:47.052Z + card-last-score:: 5 + - Instructions in a stack-base architecture get their operands from the stack and write their results to the stack. + - The advantage of this is that ^^program code takes little memory - there is no need to specify the address of the operands or registers.^^ + - PUSH is one exception, because it needs the operand to be specified (either as a constant or as an address). + - ### Programs in a Stack-Based Architecture + - Writing programs for stack-based architecture is not easy. + - Stack-based architectures are better suited for **postfix** notation rather than **infix** notation. + - What is **infix notation**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:56.638Z + card-last-reviewed:: 2022-11-14T16:51:56.639Z + card-last-score:: 5 + - **Infix notation** is the traditional way of representing mathematical expressions, with ^^operations placed **between** the operands.^^ + - e.g., a + b + - What is **postfix notation**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:50:12.717Z + card-last-reviewed:: 2022-11-14T16:50:12.718Z + card-last-score:: 5 + - In **postfix notation**, ^^the operation is placed **after** the operands.^^ + - e.g., a b + + - Stack-based architectures are better suited for **postfix notation**. + - Once an expression has been converted into postfix notation, implementing it in programs is easy. + - ### Using Stacks to Implement Procedure Calls + - Programs need a way to **pass inputs to the procedures** that they call and to receive outputs back from them. + - Procedures need to be able to **allocate space in memory for local variables** without overriding any data used by their calling program. + - It is impossible to determine which registers may be used safely by the procedure (especially if the procedure is located in a library). + - So, a mechanism to **save / restore registers** of the calling program has to be in place. + - Procedures need a way to figure out where they were called from. + - So, the execution can **return to the calling program** where the procedure completes (they need to restore the program counter). + - How are procedure calls implemented in Stacks? #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:06:14.181Z + card-last-reviewed:: 2022-11-14T20:06:14.181Z + card-last-score:: 3 + - ![image.png](../assets/image_1662992719528_0.png) + - When a procedure is called,^^a block of memory in the stack called a **stack frame** is allocated.^^ + - The top of the **stack pointer** is incremented by the number of locations in the stack frame. + - When a procedure finishes, it jumps to the **return address** of the stack and the execution of the calling program resumes. + - How are nested procedure calls implemented in the stack? #card + card-last-interval:: 47.41 + card-repeats:: 5 + card-ease-factor:: 2.28 + card-next-schedule:: 2023-01-01T05:23:12.594Z + card-last-reviewed:: 2022-11-14T20:23:12.594Z + card-last-score:: 5 + - ![image.png](../assets/image_1662992825434_0.png) + - main program calls function f(), + - function f() calls function g(), + - function g() calls function h() +- ## General-Purpose Register Architectures + - ### General-Purpose Register File + - In GPR Architectures, instructions read their operands and write their results to a **random access register file**. + - The general-purpose register file allows the ^^access of **any** register in **any** order^^ by specifying the number (register ID) of the register. + - What is the main difference between a GPR & a stack? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T02:44:31.512Z + card-last-reviewed:: 2022-11-14T16:44:31.512Z + card-last-score:: 5 + - The main difference between a GPR and a stack is that repeatedly reading a register will produce the same result and **will not** modify the state of the register file. + - Popping an item from a LIFO structure (stack) **will** modify the contents of the stack, + - Many GPR architectures assign special values to some registers in the register file to make programming easier. + - e.g., sometimes, register 0 is hardwired with value 0 to generate this most common constant. + - ### Instructions in GPR Architecture + - What do GPR instructions need to specify? #card + card-last-interval:: 41.44 + card-repeats:: 5 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-30T04:36:58.493Z + card-last-reviewed:: 2022-11-18T18:36:58.494Z + card-last-score:: 3 + - GPR instructions need to specify: + - **the register** that holds their **input operands** + - the register that will hole the **result** + - What is the most common GPR instruction format? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:01:45.936Z + card-last-score:: 1 + - The most common GPR instruction format is the **three operands instruction format**. + - e.g., "ADD r1, r2, r3" instructs the processor to read the contents of r2 and r3, add them together, and write the results in r1. + - Instructions that only have one or two inputs are also present in GPR architecture. + - Which architecture allows **caching**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:38:25.742Z + card-last-reviewed:: 2022-11-14T16:38:25.742Z + card-last-score:: 5 + - In GPR Architecture, ^^programs can choose which values should be stored in the register file at any given time^^, allowing them to **cache** the most accessed data. + - In stack-based architectures, once the data has been used, it's gone. + - From this point of view, ^^GPR architectures have **better performance**^^, at the expense of needing **more storage space** for the program. + - larger instructions are needed to encode the addresses of the operands. + - #### Simple GPR Instruction Set + - ![image.png](../assets/image_1662991772859_0.png) + - + - ### Programs in a GPR Architecure #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-15T16:48:41.651Z + card-last-reviewed:: 2022-11-17T09:48:41.652Z + card-last-score:: 5 + - Programming a GPR architecture processor is **less structured** than programming a stack-based architecture processor. + - There are **fewer restrictions on the order** in which operations can be executed. + - In stack-based architectures, instructions must execute in the order that would leave the operands for the next instructions on the top of the stack. + - In GPR, any order that places the operands for the next instruction in the register file before the instruction executes is valid. + - Operations that access different registers can be **reordered** without making the program invalid. + - +- ## Stack-Bases vs GPR Architectures + - Stack-based architectures are still attractive for certain embedded systems. + - GPR architectures are used by modern computers. + - ## Stack-Based Architectures #card + card-last-interval:: 24.2 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-11T13:48:46.669Z + card-last-reviewed:: 2022-11-17T09:48:46.669Z + card-last-score:: 3 + - Instructions take **fewer bits** to encode. + - **Reduced amount of memory** taken up by programs. + - Manages the **use of registers automatically** (no need for programmer intervention). + - The instruction set **does not change** if the size of the register file has changed. + - ## GPR Architectures + - With the evolution of technology, the amount of space taken up by a program is less important. + - Compilers for GPR architecture achieve **better performance** with a given number of general-purpose registers than those on stack-based architectures with the same number of registers. + - The compiler can choose which values to keep (**cache**) in the register file at any time. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Query Processing & Optimisation.md b/second/semester1/logseq-stuff/pages/Query Processing & Optimisation.md new file mode 100644 index 00000000..4636d890 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Query Processing & Optimisation.md @@ -0,0 +1,232 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Query Processing: Relational Algebra]] +- **Next Topic:** [[File Organsiation]] +- **Relevant Slides:** ![queryProcessing and Optimisation.pdf](../assets/queryProcessing_and_Optimisation_1667916524592_0.pdf) +- +- # Trees + - What is a **tree**? #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-12-05T17:09:17.855Z + card-last-reviewed:: 2022-11-21T13:09:17.855Z + card-last-score:: 5 + - A **tree** is a collection of data arranged as a finite set of elements called **nodes**, such that the tree is empty or the tree contains a distinguished node, called the **root node**, and all other nodes are arranged in subtrees such that each node has a parent node. + - Nodes typically contain *data* and some pointers to other nodes. + - Nodes may be: #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:15:58.945Z + card-last-score:: 1 + - **Root:** No node points to it. + - **Inner:** Has parent & child nodes. + - **Leaves:** Has no child nodes. + - What is a **binary tree**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T11:23:05.626Z + card-last-reviewed:: 2022-11-14T16:23:05.627Z + card-last-score:: 5 + - Tree data structures (a grouping of data) are used frequently in computing allowing data to be stored in a non-linear (non-list) way. + - They are often called **binary trees** where each node can have at most two child nodes. + - ## SQL -> Relational Algebra + - How to translate SQL to Relational Algebra? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-24T00:00:00.000Z + card-last-reviewed:: 2022-11-23T12:19:36.426Z + card-last-score:: 1 + - `SELECT` *attributes* corresponds to $\pi$. + - `JOIN`s correspond to relational algebra **joins** $\Join$ with ==any join conditions specified as part of the join.== + - Any condition in a `WHERE` clause corresponds to a **sigma** $\sigma$ relational algebra operator with associated conditions. + - In addition, we have rules for aggregate functions (`SUM`, `AVG`, `COUNT`, etc.), `GROUP BY` & `HAVING`, and subqueries. + - ## Query Tree + - What is a **query tree**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:51:22.389Z + card-last-score:: 1 + - A **query tree** is a binary tree that corresponds to a relational algebra expression where: + - (**Input**) Tables are the leaf nodes. + - Relational algebra operators are at internal nodes. + - (**Output / Result**) The root of the tree returns the result (often with one final relational algebra operator). + - The sequence of operations is directed from ^^leaves to root^^ and from ^^left to right^^. + - i.e., the bottom-most, left-most side of the tree is executed first. + - ### Materialisation Evaluation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:24:42.937Z + card-last-score:: 1 + - One approach to executing a query represented by a query tree is **Materialisation Evaluation**. + - Traverse the tree from bottom to top, left to right. At each stage: + - 1. Execute internal node operation whenever data for its child nodes are available. + 2. Replace the internal node operation (and all child nodes) by the table resulting from executing the operation. + - **Note:** The results of operations are saved as temporary tables and are used as inputs to other operators. + - ### How to Draw a Query Tree #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:35:40.054Z + card-last-score:: 1 + - We must remember the order of execution - from bottom to top, completing each level, and then left to right. Therefore: + - The first operations - **fetching tables** - should be at the leaves of the tree. + - The last operator - often $\pi$ or aggregate functions - should be at the root of the tree. + - Joins must be applied to tables (two at a time) and should be at internal nodes. + - Any other operators should be at one or more internal nodes. + - **Important:** When joining or multiplying more than two tables, operators can only be applied to two operands at a time. + - ![image.png](../assets/image_1667917791219_0.png) + - ### Annotating Tree + - Each relational algebra operation can be evaluated using one of several different algorithms and Seach relational algebra expression can be evaluated in many ways. + - What is an **evaluation plan**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:52:56.044Z + card-last-score:: 1 + - An **evaluation plan** is an annotated expression / query tree specifying the execution strategy for a query. + - ### Issues to Consider with Query Trees #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-24T00:00:00.000Z + card-last-reviewed:: 2022-11-23T12:19:19.197Z + card-last-score:: 1 + - Size of temporary tables. + - Algorithms used for execution plan. +- # Optimisation + - Different query trees for a given query can have different *costs*. + - Different evaluation plans for a given query can have different costs. + - **Optimisation techniques** attempt to choose the best among a number of potential query trees. + - ## Cost Estimates + - How to calculate cost estimates? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:05:07.723Z + card-last-score:: 1 + - Cost factors include CPU speed, disk access time, network communication time, etc. + - Disk access is typically the predominant cost and can be measured by the number of blocks read / number of blocks written per query. + - What is the main cost estimate used? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:52:39.027Z + card-last-score:: 1 + - The main cost estimate used is the number of block transfers where each block contains a number of records. + - The number of blocks transferred from disk depends on: + - The size of the buffer in main memory - having more memory reduces the need for more disk accesses. + - Indexing structures used (primary, secondary, etc.). + - Whether or not all blocks of a file must be transferred. + - e.g., if a search can be done on the primary key of the index file or on the secondary index, then only retrieve blocks that satisfy the search condition. + - As in typical in Computing, often we use **worst case estimates**, knowing that any *actual* cost cannot exceed a worst case estimate. + - #### DBMS Catalog #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:24:53.519Z + card-last-score:: 1 + - The **DBMS Catalog** stores ==statistical information about each table== such as table sizes, indexes & their depths, etc. + - The statistical information on the tables & attributes used in a query can be found in the DBMS catalog and these are used to calculate estimates also. + - In the DBMS catalog, for each table $R$, information is stored on: + - The number of tuples / records in $R$. + - The number of blocks containing tuples of table $R$. + - The size of a record in bytes. + - The blocking factor. + - Information on the number of distinct values per attribute and the number of values that would satisfy a set of equality operations on that attribute (by having averages, min, max, etc.). + - Information on indices (index type, index field values, etc.). + - ## Optimisation Approach 1: Compare Cost Estimates Across Different Solutions #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:52:10.705Z + card-last-score:: 1 + - Cost is usually measured as the **total elapsed time** for answering a query. + - One approach to optimisation is to calculate cost estimates for each possible query tree. + - The query tree with the lowest **cost estimate** should then be chosen. + - ### Steps + - 1. Generate query trees & evaluation plans (maybe not all). + 2. For each query tree, get cost estimates using the DBMS catalog. + - This results in a set of cost estimates such that the best can be chosen and the query tree with the lowest cost estimate can then be picked as the single best query tree & evaluation plan. + - Therefore, to choose among plans, the optimiser has to estimate the cost of each evaluation plan. + - There are two aspects to this. For each node of the tree, estimate the cost of performing associated operation, and estimate the size of the result and if it is sorted. + - ### Summary + - While cost-based optimisation is good, it is expensive. + - As query complexity increases, so does the number of different query trees & plans possible, and each query tree requires its own cost estimates. + - **NB:** It is important that the amount of time an optimiser spends on calculating the best solution is not longer than the amount of time which would elapse if executing a solution picked at random. + - ## Optimisation Approach 2: Heuristic Optimisation #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:24:24.658Z + card-last-score:: 1 + - Optimisers often use **heuristics** to reduce the number of choices that must be made in a cost-based fashion. + - Heuristic Optimisation transforms the query tree by ==using a set of rules that typically (but not always) improve execution performance.== + - Some cost-based estimation is also performed as part of the heuristic optimisation and to choose between a reduced set of trees and/or evaluation plans. + - ### Steps + - 1. Create a **canonical query tree**. + 2. Apply a **set of heuristics** to the tree to create a more efficient query tree. + 3. If appropriate, create cost estimates of this query tree to ensure the best evaluation plan. + - ### Canonical Query Trees + - What is a **canonical query tree**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:22:12.535Z + card-last-score:: 1 + - A **canonical query tree** is an *inefficient* query tree representing relational algebra expressions which can be created **directly** from the SQL solution following a sequence of quick & easy steps. + - A canonical query tree: + - Uses **Cartesian Product** instead of **Joins**. + - Keeps all conditions ($\sigma$) together in one internal node. + - $\pi$ become the root node. + - #### Steps to create a Canonical Query Tree with `SELECT`/`WHERE`/`FROM` clauses and no sub-queries: + - 1. All relations in the `FROM` clause become leaves of the tree. + - They should be combined with a **Cartesian Product** ($\times$) of the relations. + - **Note:** Only two relations can be involved in a Cartesian Product at a time (binary tree). + - 2. All conditions in the `WHERE` clause and any `JOIN` conditions in `WHERE` or `FROM` clauses become a sequence of relational algebra in **one** inner node of the tree (with inputs from the previous step). + 3. All conditions from the `SELECT` clause become a relational algebra expression in the root node. + - Heuristic Optimisation **must** transform this canonical query tree into a final query tree that is efficient to execute. + - In general, heuristic optimisation tries to ==apply the most restrictive operators as early as possible== in the tree and to ==reduce the size of the temporary tables / results== created that move "up" the tree. + - Heuristic Optimisation must include rules for equivalence among relational algebra expressions that can be applied to the initial tree. + - ### Heuristic Optimisation Algorithm #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:25:04.590Z + card-last-score:: 1 + - **Input:** A canonical query tree. + - **Process:** + - 1. Decompose any $\sigma$ with AND conditions into an individual $\sigma$. + 2. Move each $\sigma$ operator as far down the query tree as possible, thus eliminating unwanted tuples. + - Heuristic 1 tries to reduce the size of the tables to be combined as much as possible. + - Therefore, if a selection operator ($\sigma$) occurs *after* a Cartesian product or a join, check to see if it could occur *before* these operations. + - 3. Rearrange the leaf nodes so that the most restrictive $\sigma$ can be applied first (using information from the DBMS catalog) and so that future JOINS are possible. + - **Note:** "Most restrictive" means those operators that result in relations with the fewest tuples or with the smallest absolute size. + - These operations should happen first, i.e., on the left-hand side of the lowest level of the tree. + - If we don't have any information from the DBMS catalog, we might leave nodes as they are, use the database schema (# of columns) to make a good estimate, or use sample data (# of rows) & database schema (# of columns) to make a good estimate. + - 4. Combine Cartesian Product operators with $\sigma$ to form JOIN operators where appropriate (replacing all $\times$). + - Must first ensure that the leaf nodes are ordered such that this can occur. If not, re-order the leaf nodes and ensure to keep any select operators with the appropriate leaf node. + - 5. Decompose $\pi$ and move each $\pi$ as far down the tree as possible, possibly creating new $\pi$ operators in the process to eliminate unwanted columns. + - This heuristic ensure that the size of the tables to be joined are as small as possible. + - Therefore, for each $\pi$ check if that $\pi$ can be carried out before the join. For each table, check if additional $\pi$s can be introduced (these may not be stated explicitly in the query). + - **Note:** Must ensure that all needed columns further up the tree are retained (even if they are not immediately necessary). + - 6. Identify subtrees that represent groups of operations that can be executed by a single algorithm. + 7. Add an evaluation plan. + - **Output:** An efficient query tree. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Query Processing%3A Relational Algebra.md b/second/semester1/logseq-stuff/pages/Query Processing%3A Relational Algebra.md new file mode 100644 index 00000000..61a16631 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Query Processing%3A Relational Algebra.md @@ -0,0 +1,225 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Normalisation]] +- **Next Topic:** [[Query Processing & Optimisation]] +- **Relevant Slides:** ![queryProcRelAlgebra.pdf](../assets/queryProcRelAlgebra_1667899219134_0.pdf) +- +- # Query Processing + - What is **Query Processing**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:16:17.961Z + card-last-score:: 1 + - **Query Processing** transforms SQL (a high-level language) into a correct & efficient low-level language representation of **relational algebra**. + - Each relational algebra operator has code associated with it, which, when run, performs the operation on the data specified, allowing the specified data to be output as the result. + - ## Steps Involved in Processing an SQL Query #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:52:53.439Z + card-last-score:: 1 + - 1. Process (Parse & Translate) the query and create an internal representation of the query. + - This may be an Operator Tree, Query Tree, or Query Graph (for more complicated queries). + - 2. Optimise. + 3. Execute / Evaluate returning results. + - What do you need to translate SQL to Relational Algebra? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:21:00.003Z + card-last-score:: 1 + - To translate SQL to Relational Algebra, you must have a meaningful set of relational algebra operators, and a mapping (translation) between SQL code & relational algebra expressions. +- # Relational Algebra + - Two formal languages exist for the relational model: + - **Relational Algebra** (procedural). + - **Relational Calculus** (non-procedural). + - Both are logically equivalent. + - ## Relational Algebra Operations + - A basic set of operations exist for the relational model. + - These allow for the specification of basic retrieval requests. + - A sequence of Relational Algebra (RA) operations forms a **relational algebra expression**. + - RA operations are divided into two groups: + - Operations based on **mathematical set theory** (e.g., union, product, etc.). + - Specific relational database operations. + - ## Relational Algebra vs SQL #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:53:39.774Z + card-last-score:: 1 + - The core operations & functions (i.e., programs) in the internal modules of most relational database systems are based on **relational algebra**. + - SQL is a **declarative language** - It allows you to specify the results that you require, not the order of the operations to retrieve these results. + - Relational Algebra is **procedural** - We must specify exactly *how* to retrieve results when using relational algebra. + - ## Relational Algebra Expressions + - A valid relational algebra expression is built by connecting tables or expressions with defined **unary & binary operators** & their arguments (if applicable). + - Temporary relations resulting from a relational algebra expression can be used as input to a new relational algebra expression. + - Expressions in brackets are evaluated first. + - Relational Algebra operators are either **unary** or **binary**. + - ## Working With the [RelaX Calculator](https://dbis-uibk.github.io/relax/calc/local/uibk/local/0) + - There is no standard language for relational algebra like there is for SQL. + - One University group have developed a calculator that supports a *fairly* command standard. + - Note that it is Case Sensitive. + - The RelaX calculator provides a number of datasets with the option of also using your own dataset. + - ### Loading a Dataset + - 1. Go to the "Group Editor" tab. + 2. Copy text from the file on Blackboard and add. + 3. Then choose "Preview". + 4. Then choose "Use group in Editor". + - **Note:** Only stored temporarily. + - ### Note on Degrees + - The **degree** of the relation resulting from a selection of a table $R$ is the same as the degree of $R$, i.e., they have the same number of attributes (columns). + - The operation is **commutative** - i.e., a sequence of selects can be applied in any order. + - E.g.: + - $$\sigma_{\text{hours < 20 and pno = 10}}\text{works\_on}$$ + - $$\sigma_{\text{pno = 10 and hours < 20}}\text{works\_on}$$ +- # Relational Algebra: Unary Operators + - Each operation takes one relation or expression as input and gives a new relation as a result. + - ## Selection Operator ($\sigma$) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:16:42.201Z + card-last-score:: 1 + - Used to **select** certain tuples (rows) from a relation $R$. + - **Notation:** $\sigma_pR$, where $p$ is the **selection predicate** (i.e., a *condidtion*) and $R$ is a relation / table name. + - **Note:** The Selection ($\sigma$) operator in relational algebra is **not** the same as the `SELECT` clause in an SQL query. + - An SQL `SELECT` query could be equivalent to a combination of relational algebra operators, ($\sigma$, $\pi$, or `JOIN`). + - ### Example (Using Company Schema) + - Find the projects with pno = 10 and hours worked < 20. + background-color:: green + - $$\sigma_{\text{hours < 20 AND pno = 10}}\text{works\_on}$$ + - Returns the set: + - {(333445555, 10, 10.0 ), (999887777, 10, 10.0)} + - ## Projection Operator ($\pi$) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:20:37.894Z + card-last-score:: 1 + - Used to return certain attributes / columns. + - **Notation:** + - $$\pi_{A_1, A_2, \cdots, A_k}(R)$$ + - Where $A_1, \cdots, A_k$ are attribute names, $R$ is a relation name. + - The result is a relation with the $k$ attributes listed in the same order as they appear in the list. + - Duplicate tuples are removed from the result. + - **Note:** Commutativity does *not* hold. + - ### Example (Using Company Schema) + - List all the department numbers where employees work. + background-color:: green + - $$\pi_\text{dno}\text{employee}$$ + - Returns: {5,4,1}. + - ## Rename Operators ($\rho$ & $\leftarrow$) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:23:44.470Z + card-last-score:: 1 + - Rename Operation ($\rho$). + - **Notation:** $\rho_x(E)$, where the result of the expression $E$ is saved with the name $x$. + - ## Order Operator ($\tau$) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:09:00.157Z + card-last-score:: 1 + - Used to **order** by certain columns from a relation $R$. + - **Notation:** $\tau_{A_1, A_2, \cdots, A_k}R$ where $A_1, A_2, \cdots, A_k$ are attributes with either ASC or DESC. + - ## Group By Operator ($\gamma$) + - Used to **group** by certain columns from a relation $R$. + - ## Aggregate Functions Supported by RelaX + - (Not part of Relation Algebra), + - `COUNT(*)`. + - `COUNT(column)`. + - `MIN(column)`. + - `MAX(column)`. + - `SUM(column)`. + - `AVG(column)`. +- # Binary Operators + - General syntax: `(child_expression) function argument (child_argument)`. + - ## Union Operator ($\cup$) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:54:46.077Z + card-last-score:: 1 + - **Notation:** $(R) \cup (S)$, where $R$ & $S$ are relations. + - Returns all tuples from $R$ and all tuples from $S$. + - **Note:** No duplicates will be returned. + - ## Intersection Operator ($\cap$) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:25:05.543Z + card-last-score:: 1 + - **Notation:** $(R) \cap (S)$, where $R$ & $S$ are relations. + - Returns all tuples from $R$ that are also in $S$. + - ## Set Difference ($-$) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:26:25.449Z + card-last-score:: 1 + - **Notation:** $(R) - (S)$ where $R$ & $S$ are relations. + - Returns tuples that are in relation $R$ but not in $S$. + - **Note:** $(R) - (S)$ and $(S) - (R)$ are not the same. + - ## Union Compatibility + - What is **Union Compatibility**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T15:50:22.644Z + card-last-score:: 1 + - For union, intersection, & minus, relations must be **union compatible**. + - That is, schemas of relations must match, i.e., have the same number of attributes and each corresponding attributes have the same domain. + - ## Cartesian Product Operator ($\times$) (Cross-Join) #card + id:: 636a860b-5170-4227-befa-68876a53c856 + card-last-interval:: 0.98 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-22T12:05:57.590Z + card-last-reviewed:: 2022-11-21T13:05:57.590Z + card-last-score:: 3 + - **Notation:** $(R) \times (S)$ where $R$ & $S$ are relations / tables. + - **Returns:** Tuples comprising the concatenation (combination) of *every tuple* in $R$ with *every tuple* in $S$. + - **Note:** No condition specified. + - ### Cartesian Product vs Join #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:20:31.096Z + card-last-score:: 1 + - The main difference between a Cartesian product operator and a Join operator is that, with a Join, only tuples **satisfying a condition** appear in the result, while in a Cartesian product operator, all combinations of tuples are included in the result. + - ## Join Operator ($\Join$) #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:23:36.847Z + card-last-score:: 1 + - The **Join Operator** is a *hybrid* operator - it is a combination of the **Cartesian Product** operator ($\times$) & a **Select** operator ($\sigma$). + - Tables are joined together based on the **condition** specified. + - ## Equi & Theta Joins #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:37:52.403Z + card-last-score:: 1 + - **Notation:** $(R_1) \Join p (R_2)$ where $p$ is the **join condition** and $R_1$ & $R_2$ are relations. + - **Result:** The `JOIN` operation returns all combinations of tuples from relation $R_1$ & relation $R_2$ satisfying the join condition $p$. + - **Note:** EQUI JOINS use only equality comparisons (`=`) in the join condition $p$. +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Random Variables.md b/second/semester1/logseq-stuff/pages/Random Variables.md new file mode 100644 index 00000000..7ad8b307 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Random Variables.md @@ -0,0 +1,122 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Probability]] +- **Next Topic:** [[Discrete Probability Distributions: Binomial & Poisson]] +- **Relevant Slides:** ![Topic 5 - Random Variables.pdf](../assets/Topic_5_-_Random_Variables_1665050186799_0.pdf) +- +- # Random Variables + - What is a **random variable**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-21T20:17:50.156Z + card-last-reviewed:: 2022-11-17T20:17:50.157Z + card-last-score:: 3 + - A **random variable** is a function that associates a real number with each element in the sample space. + - The probability distribution of a random variable $X$ gives the probability for each value of $X$. + - A random variable takes a **numeric** value based on the outcome of a random event. + - Random variables are denoted by a capital letter - $X$, $Y$, $Z$, etc. + - A particular value of a random variable will be denoted with a lower case letter - $x$, $y$, $z$, etc. + - What are the two types of random variables? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T03:20:55.056Z + card-last-reviewed:: 2022-11-14T20:20:55.056Z + card-last-score:: 5 + - There are two types of random variables: + - **Discrete** random variables can take one of a finite number of distinct outcomes. + - **Continuous** random variables can take any numeric value within a range of values. + - +- +- # Probability Distributions + - ## Discrete Probability Distributions + - What is the **probability distribution** of some discrete random variable $X$? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:14:46.764Z + card-last-score:: 1 + - The set of ordered pairs $(x, f(x))$ is a **probability function**, **probability mass function** (pmf), or **probability distribution** of the discrete random variable $X$ if, for each possible outcome $x$: + - 1. $f(x) \geq 0$, + - 2. $\displaystyle \sum_n f(x) = 1$, + - 3. $P(X = x) = f(x)$. + - What is the **cumulative distribution function** of a discrete random variable $X$? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:37.665Z + card-last-score:: 1 + - The **cumulative distribution function** is the probability that a random variable $X$ with a given probability distribution will be ^^found at a value less than or equal to^^ $x$. + - The **cumulative distribution function** $F(x)$ of a discrete random variable $X$ with probability distribution $f(x)$ is: + - $$F(x) = P(X \leq x) = \sum_{t \leq x} f(t), \text{ for } - \infty < x < \infty$$ + - ## Continuous Probability Distributions + - What is the **probability distribution function** for a continuous random variable? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:25:33.722Z + card-last-score:: 1 + - The function $f(x)$ is a **probability distribution function** (pdf) for a continuous random variable $X$, defined over a set of real numbers, if: + - 1. $f(x) \geq 0, \text{ for all } x \in R$, + - 2. $\int^{\infty}_{- \infty} f(x) dx = 1$, + - 3. $P(a < X < b) = \int^{b}_{a} f(x)dx$. + - **Note:** $P(X = x) = 0$, i.e., there is no area exactly at $x$. + - +- +- # Expected Value - Location + - What is **expected value** for a **discrete** random variable? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:33:23.280Z + card-last-score:: 1 + - The average, or **expected value** of a random variable is denoted by $E[X]$ & $\mu$. + - It can be found by summing the products of each possible value multiplied by the probability that it occurs: + - $$\mu = E[X] = \sum_x xP(X = x)$$ + - What is the **expected value** for a **continuous** random variable? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:12.187Z + card-last-score:: 1 + - A useful summary of interest is the average, or **expected value** of a random variable. + - The **expected value** is denoted by $E[X]$ & $\mu$. + - The **expected value** of a ***continuous*** random variable can be found by: + - $$\mu = E(X) = \int_{-\infty}^{\infty} xf(x)dx$$ +- # Variance, Standard Deviation - Spread + - What is the **variance** & hence the **standard deviation** of a discrete random variable? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:18:19.897Z + card-last-score:: 1 + - The **variance** of a **discrete** random variable measures the squared deviation from the mean: + - $$\sigma^2 = \text{Var}(X) = E[(X - \mu)^2] = \sum_x (x - \mu)^2 P(X =x)$$ + - Alternatively, variance can be calculated by: + - $$\text{Var}(X) = E(X^2) - E^2(X)$$ + - Where + - $$E(X^2) = \sum x^2P(X = x)$$ + - Or, more usefully, the **standard deviation** is: + - $$\sigma = \text{sd}(X) = \sqrt{\text{Var}(X)}$$ + - The standard deviation has the advantage of being in the same units as $X$ (& $\mu$). + - What is the **variance** of a ***continuous*** random variable? #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.5 + card-last-reviewed:: 2022-11-18T18:35:05.927Z + - The **variance** of a **continuous** random variable is: + - $$\text{var}(X) = \int_{-\infty}^{\infty} (x - \mu)^2 f(x)dx$$ +- # Means & Variances + - Adding or subtracting a constant from data shifts the mean, but does not change the variance or the standard deviation. + - $$E[X +c] = E[X] +c, \ \ \text{Var}(X+c) = \text{Var}(X), \ \ \text{sd}(X + c) = sd(X)$$ + - $$E[X -c] = E[X] -c,\ \ \text{Var}(X -c) = \text{Var}(X), \ \ \text{sd}(X - c) = \text{sd}(X)$$ + - Multiplying a random variable by a constant multiplies the mean by that constant, and the variance by the *square* of that constant. + - $$E[aX] = aE[X], \ \ \text{Var}(aX) = a^2 \text{Var}(X), \ \ \text{sd}(aX) = |a|\text{sd}(X)$$ \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/SCRUM Roles & Ceremonies.md b/second/semester1/logseq-stuff/pages/SCRUM Roles & Ceremonies.md new file mode 100644 index 00000000..a9648073 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/SCRUM Roles & Ceremonies.md @@ -0,0 +1,184 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Introduction to Agile Methods]] +- **Next Topic:** [[Agile Methods - Extreme Programming]] +- **Relevant Slides:** ![Week 3 - SCRUM - Roles and Ceremonies.pdf](../assets/Week_3_-_SCRUM_-_Roles_and_Ceremonies_1663849748773_0.pdf) +- +- # Scrum Framework + - ## Roles + collapsed:: true + - Product Owner + - ScrumMaster + - Team + - + - ### Product Owner #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:11:05.335Z + card-last-reviewed:: 2022-11-14T20:11:05.336Z + card-last-score:: 5 + - Define the features of the product. + - Tries to remove conjecture - "I know the customer wants this" as opposed to "I believe this would be a good feature". + - Decide on release date and content. + - Usually responsible for press release. + - Be responsible for the profitability of the product (ROI). + - Prioritise features according to market value. + - Conduct market research, feasibility studies. + - Adjust features & priority every iteration, as needed. + - Accept or reject work results. + - ### Scrum Master #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:42:56.790Z + card-last-score:: 1 + - Represents management to the project. + - Often one of the engineers. + - Responsible for enacting Scrum values & practices. + - Removes impediments. + - Ensure that the team is fully functional & productive. + - Enable close cooperation across all roles & functions. + - Shield the team from external interfaces. + - ### Scrum Team #card + card-last-interval:: 9.28 + card-repeats:: 3 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-23T22:36:47.636Z + card-last-reviewed:: 2022-11-14T16:36:47.637Z + card-last-score:: 5 + - Typically 5-10 people. + - Cross-functional. + - QA, Programmers, UI Designers, etc. + - Members should be full-time. + - May be exceptions (e.g., System Admin, etc.). + - Teams are self-organising. + - Membership can change only between sprints. + - + - ## Ceremonies + collapsed:: true + - Sprints + - Sprint Planning + - Sprint Review + - Sprint Retrospective + - Daily Scrum Meeting + - + - ### Sprints #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T06:05:48.351Z + card-last-reviewed:: 2022-11-14T20:05:48.351Z + card-last-score:: 5 + collapsed:: true + - Scrum projects make progress in a series of **sprints**. + - Target duration is one month. + - + / - a week or two (2 - 6 weeks max). + - Product is designed, coded, and tested during the sprint. + - The output is a built which may or may not be a release. + - Move onto the next sprint. + - + - #### No changes during Sprint + - Plan sprint durations around how long you can commit to keeping the change out of the Sprint. + - ### Sprint Planning #card + card-last-interval:: 11.34 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-26T00:48:37.703Z + card-last-reviewed:: 2022-11-14T16:48:37.703Z + card-last-score:: 5 + collapsed:: true + - The Team selects items from the **product backlog** that they can commit to completing. + - The **Sprint Backlog** is created. + - Tasks are identified & the length of each is estimated (1-16 hours). + - This is done collaboratively by the team. + - ![image.png](../assets/image_1663942604788_0.png) + - #### Sprint Backlog + - What is the **Product Backlog**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:11:04.051Z + card-last-reviewed:: 2022-11-14T20:11:04.052Z + card-last-score:: 5 + - The **Product Backlog** is a list of desired work on the project (the requirements). + - It's usually a combination of: + - **story-based work** - "let user search & replace". + - **task-based work** - "improve exception handling". + - The list is prioritised by the **Product Owner**. + - The **Product Owner** is typically a Product Manager, Marketing, Internal Customer, etc. + - Priority groupings (high, medium, low, etc.). + - Re-prioritised at the start of each sprint. + - Spreadsheet (usually). + - To create a Sprint Backlog, you must have a Sprint goal. + - The Scrum team takes the Sprint Goal and decides what tasks are necessary. + - The Team self-organises around how they will meet the Sprint Goal. + - Manager does not assign tasks to individuals. + - Managers don't make decisions for the team. + - A Sprint Backlog is created. + - #### Sprint Backlogs during the Sprint + - Changes + - The Team adds new tasks whenever they need to, in order to meet the Sprint Goal. + - The Team can remove unnecessary tasks. + - But, the Sprint Backlog can only be updated by the team. + - Estimates are updated whenever there's new information. + - + - ### Sprint Review Meeting #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T06:05:33.096Z + card-last-reviewed:: 2022-11-14T20:05:33.096Z + card-last-score:: 5 + - The Team presents what it accomplished during the sprint. + - It typically takes the form of a demo of new features or underlying architecture. + - Informal. + - 2 hour prep time. + - No slides. + - Participants. + - Customers. + - Management. + - Product Owners. + - Engineering Team. + - ### Sprint Retrospective Meeting #card + card-last-interval:: 29.04 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-13T20:03:02.515Z + card-last-reviewed:: 2022-11-14T20:03:02.515Z + card-last-score:: 5 + - Typically 15-30 mintues. + - Done after every sprint. + - Feedback meeting - time to reflect on how things are going... + - Many participants. + - Scrum Master + - Product Owner + - Team + - Possibly customers & others + - The whole team gathers & discusses what they'd like to: + - Start doing. + - Stop doing. + - Continue doing, + - +- +- ## Pros / Cons of Agile Methods #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T06:05:31.402Z + card-last-reviewed:: 2022-11-14T20:05:31.402Z + card-last-score:: 5 + - ### Advantages + - Completely developed & tested features in short iterations. + - Simplicity of the process. + - Clearly defined rules. + - Increasing productivity. + - Self-organising. + - Each team member carries a lot of responsibility. + - Improved communication. + - Combination with Extreme Programming. + - ### Disadvantages + - "Undisciplined hacking" (no written documentation). + - Violation of responsibility. + - Current mainly carried by the inventors. + - Employee burnout & fatigue. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/SQL DML Statement.md b/second/semester1/logseq-stuff/pages/SQL DML Statement.md new file mode 100644 index 00000000..2f27a489 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/SQL DML Statement.md @@ -0,0 +1,194 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Introduction to SQL & DDL]] +- **Next Topic:** [[SQL DML: SELECT]] +- **Relevant Slides:** ![Topic 4_DML_SQL_part1.pdf](../assets/Topic_4_DML_SQL_part1_1663680318777_0.pdf) +- +- # Notes on Syntax + - While SQL is case insensitive, Linux ^^is not.^^ + - web1.cs.nuigalway.ie is a ^^linux server^^, so we need to be careful with table names in particular, as `EMPLOYEE` is ^^not the same thing^^ as `employee`. + - Attribute names are separated by commas. + - Strings are enclosed in quotes. + - Numbers are not enclosed in quotes. + - + - Usually, SQL keywords are capitalised while table & keyword names are mostly kept in lowercase unless using camelCase instead of snake_case. + - Code should be organised horizontally & vertically, and not all written on one line. + - Code blocks are separated by a semicolon. + - Comments can be made using `#`, `--`, & `/* */`. +- +- # **CRUD** Operations in DML + - What are **CRUD** Operations? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:09:37.257Z + card-last-reviewed:: 2022-11-14T20:09:37.258Z + card-last-score:: 5 + - **CRUD** operations are the 4 basic functions that we may wish to perform on *persistent* data. + - **Create:** insert a new tuple. `INSERT` + - **Read:** retrieve some data. `SELECT` + - **Update:** modify some data. `Update` + - **Delete:** delete some data or a tuple. `DELETE` + - ## Read: `SELECT` + - The basic syntax for an SQL select query to *read* data consists of 6 clauses. #card + collapsed:: true + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:06:02.473Z + card-last-reviewed:: 2022-11-14T20:06:02.473Z + card-last-score:: 3 + - ```sql + SELECT [DISTINCT] + FROM
+ WHERE + GROUP BY + HAVING + ORDER BY + ``` + - The order of these clauses ^^cannot be changed.^^ + - `SELECT` & `FROM` are ^^always required^^, other clauses are optional. + - ### `SELECT FROM
WHERE ` #card + collapsed:: true + card-last-interval:: 108 + card-repeats:: 5 + card-ease-factor:: 3 + card-next-schedule:: 2023-03-06T18:36:40.152Z + card-last-reviewed:: 2022-11-18T18:36:40.153Z + card-last-score:: 5 + - `` is a list of **attribute** (column) names (separated by commas) whose values will be retrieved by the query. + - `
` is a list of table names (separated by commas) containing the attributes. + - `` is a **Boolean** expression that identifies the tuples to be retrieved by the query. + - For each **tuple** (row) in the table(s) which are part of the query: + - the tuple is checked to see if the condition is **true** for this tuple. + - If **true**, the tuple **is** part of the output. + - If **false**, the tuple is **not** part of the output. + - The comparison operators are: + - `=` `<=` `<` `>` `>=` `!=` + - Conditions can be compounded by use of Boolean `AND`, `OR`, and can be negated with `NOT`. + - ^^Note:^^ In some versions of SQL, (e.g., in MS), the `!=` operator is written as `<>`. + - ### Calculated or Derived Fields #card + collapsed:: true + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-15T16:48:02.726Z + card-last-reviewed:: 2022-11-17T09:48:02.727Z + card-last-score:: 5 + - We can specify an SQL expression in the `SELECT` clause which can involve **numerical operations** on **numeric** fields and **counting operations** on **non-numeric** fields. + - e.g., + - ```sql + SELECT ssn, salary/12 FROM employee; + ``` + - ### Tidying Up the Output #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:05:39.227Z + card-last-reviewed:: 2022-11-14T20:05:39.227Z + card-last-score:: 3 + - We can use keywords `CAST`, `AS`, & `DECIMAL(x, y)` to specify the total number of digits `x` and the number of digits after the decimal point `y` when we're working with **real numbers**. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + FROM employee; + ``` + - We can also use the keyword `AS` to rename output. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + AS monthlySalary + FROM employee; + ``` + - + - ### Keyword `DISTINCT` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-21T00:50:04.359Z + card-last-reviewed:: 2022-11-17T09:50:04.360Z + card-last-score:: 5 + - The keyword `DISTINCT` automatically removes duplicates from the returned result set. + - We should be careful of using with large result sets as it can be an expensive operation to perform (not a problem for our small examples). + - ```sql + SELECT DISTINCT salary + FROM employee; + ``` + - ### Selecting All Attribute Values for Selected Tuples #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-25T20:36:44.458Z + card-last-reviewed:: 2022-11-14T16:36:44.458Z + card-last-score:: 5 + - To retrieve all attribute values of selected tuples, you do not have to explicitly list all the attribute names - instead, you can use `SELECT *`. + - ### New Operators + collapsed:: true + - `BETWEEN` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:07:14.075Z + card-last-reviewed:: 2022-11-14T20:07:14.075Z + card-last-score:: 5 + - The `BETWEEN` operator selects values within a given range. The values can be numbers, texts, or dates. + - ```sql + SELECT + FROM
+ WHERE BETWEEN AND ; + ``` + - `IN` #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:48:15.246Z + card-last-score:: 1 + - The `IN` operator tests if a data value matches one of a list of values. + - It is a shorthand for multiple `OR` conditions. + - ```sql + SELECT + FROM + WHERE IN (, , ...); + + -- OR -- + + SELECT + FROM + WHERE IN (SELECT ); + ``` + - `LIKE` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-21T00:50:18.687Z + card-last-reviewed:: 2022-11-17T09:50:18.687Z + card-last-score:: 5 + - Allows string comparison, when equality is too strict. + - There are 2 wildcards, often used in conjunction with the `LIKE` operator: + - The percent sign `%` represents zero, one, or multiple characters. + - The underscore sign `_` represents one, single character. + - ```sql + SELECT + FROM + WHERE LIKE ; + ``` + - `IS NULL` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:38:30.380Z + card-last-reviewed:: 2022-11-14T16:38:30.380Z + card-last-score:: 5 + - Allows an explicit search for `NULL`. + - + - + - ### Set Operators + - `UNION` + - `INTERSECTION` + - `MINUS / DIFFERENCE` +- +- +- ```SQL + SELECT full_name, ssn FROM ( + SELECT ssn, CONCAT(fname, " ", minit, " ", lname) + AS full_name from employee) AS dtable + WHERE full_name IN ("John B Smith", "James E Borg", "Joyce A English"); + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/SQL DML%3A SELECT.md b/second/semester1/logseq-stuff/pages/SQL DML%3A SELECT.md new file mode 100644 index 00000000..4bac0f96 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/SQL DML%3A SELECT.md @@ -0,0 +1,192 @@ +title:: SQL DML: SELECT + +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[SQL DML Statement]] +- **Next Topic:** [[SQL SELECT: Working with Strings & Subqueries]] +- **Relevant Slides:** ![Topic 4_DML_SQL_part1.pdf](../assets/Topic_4_DML_SQL_part1_1663680318777_0.pdf) +- +- # Notes on Syntax + - While SQL is case insensitive, Linux ^^is not.^^ + - web1.cs.nuigalway.ie is a ^^linux server^^, so we need to be careful with table names in particular, as `EMPLOYEE` is ^^not the same thing^^ as `employee`. + - Attribute names are separated by commas. + - Strings are enclosed in quotes. + - Numbers are not enclosed in quotes. + - + - Usually, SQL keywords are capitalised while table & keyword names are mostly kept in lowercase unless using camelCase instead of snake_case. + - Code should be organised horizontally & vertically, and not all written on one line. + - Code blocks are separated by a semicolon. + - Comments can be made using `#`, `--`, & `/* */`. +- +- # **CRUD** Operations in DML + - What are **CRUD** Operations? #card + card-last-interval:: 7.44 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-22T02:35:29.285Z + card-last-reviewed:: 2022-11-14T16:35:29.286Z + card-last-score:: 3 + - **CRUD** operations are the 4 basic functions that we may wish to perform on *persistent* data. + - **Create:** insert a new tuple. `INSERT` + - **Read:** retrieve some data. `SELECT` + - **Update:** modify some data. `Update` + - **Delete:** delete some data or a tuple. `DELETE` + - ## Read: `SELECT` + - The basic syntax for an SQL select query to *read* data consists of 6 clauses. #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:06:00.414Z + card-last-reviewed:: 2022-11-14T20:06:00.414Z + card-last-score:: 3 + - ```sql + SELECT [DISTINCT] + FROM
+ WHERE + GROUP BY + HAVING + ORDER BY + ``` + - The order of these clauses ^^cannot be changed.^^ + - `SELECT` & `FROM` are ^^always required^^, other clauses are optional. + - ### `SELECT FROM
WHERE ` #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-26T13:37:49.433Z + card-last-reviewed:: 2022-11-22T13:37:49.433Z + card-last-score:: 5 + - `` is a list of **attribute** (column) names (separated by commas) whose values will be retrieved by the query. + - `
` is a list of table names (separated by commas) containing the attributes. + - `` is a **Boolean** expression that identifies the tuples to be retrieved by the query. + - For each **tuple** (row) in the table(s) which are part of the query: + - the tuple is checked to see if the condition is **true** for this tuple. + - If **true**, the tuple **is** part of the output. + - If **false**, the tuple is **not** part of the output. + - The comparison operators are: + - `=` `<=` `<` `>` `>=` `!=` + - Conditions can be compounded by use of Boolean `AND`, `OR`, and can be negated with `NOT`. + - ^^Note:^^ In some versions of SQL, (e.g., in MS), the `!=` operator is written as `<>`. + - ### Calculated or Derived Fields #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-15T16:48:00.918Z + card-last-reviewed:: 2022-11-17T09:48:00.918Z + card-last-score:: 5 + - We can specify an SQL expression in the `SELECT` clause which can involve **numerical operations** on **numeric** fields and **counting operations** on **non-numeric** fields. + - e.g., + - ```sql + SELECT ssn, salary/12 FROM employee; + ``` + - ### Tidying Up the Output #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:05:40.995Z + card-last-reviewed:: 2022-11-14T20:05:40.995Z + card-last-score:: 3 + - We can use keywords `CAST`, `AS`, & `DECIMAL(x, y)` to specify the total number of digits `x` and the number of digits after the decimal point `y` when we're working with **real numbers**. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + FROM employee; + ``` + - We can also use the keyword `AS` to rename output. + - ```sql + SELECT ssn, CAST(salary/12.0 AS DECIMAL(8,2)) + AS monthlySalary + FROM employee; + ``` + - + - ### Keyword `DISTINCT` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-21T00:50:05.938Z + card-last-reviewed:: 2022-11-17T09:50:05.938Z + card-last-score:: 5 + - The keyword `DISTINCT` automatically removes duplicates from the returned result set. + - We should be careful of using with large result sets as it can be an expensive operation to perform (not a problem for our small examples). + - ```sql + SELECT DISTINCT salary + FROM employee; + ``` + - ### Selecting All Attribute Values for Selected Tuples #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-25T20:36:38.405Z + card-last-reviewed:: 2022-11-14T16:36:38.405Z + card-last-score:: 5 + - To retrieve all attribute values of selected tuples, you do not have to explicitly list all the attribute names - instead, you can use ```SELECT *```. + - ### New Operators + - `BETWEEN` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:07:12.625Z + card-last-reviewed:: 2022-11-14T20:07:12.625Z + card-last-score:: 5 + - The `BETWEEN` operator selects values within a given range. The values can be numbers, texts, or dates. + - ```sql + SELECT + FROM
+ WHERE BETWEEN AND ; + ``` + - `IN` #card + card-last-interval:: 24.2 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-11T13:48:17.496Z + card-last-reviewed:: 2022-11-17T09:48:17.496Z + card-last-score:: 3 + - The `IN` operator tests if a data value matches one of a list of values. + - It is a shorthand for multiple `OR` conditions. + - ```sql + SELECT + FROM + WHERE IN (, , ...); + + -- OR -- + + SELECT + FROM + WHERE IN (SELECT ); + ``` + - `LIKE` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:07:20.197Z + card-last-reviewed:: 2022-11-14T20:07:20.198Z + card-last-score:: 5 + - Allows string comparison, when equality is too strict. + - There are 2 wildcards, often used in conjunction with the `LIKE` operator: + - The percent sign `%` represents zero, one, or multiple characters. + - The underscore sign `_` represents one, single character. + - ```sql + SELECT + FROM + WHERE LIKE ; + ``` + - `IS NULL` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-21T00:49:58.730Z + card-last-reviewed:: 2022-11-17T09:49:58.730Z + card-last-score:: 5 + - Allows an explicit search for `NULL`. + - + - + - ### Set Operators + - `UNION` + - `INTERSECTION` + - `MINUS / DIFFERENCE` +- +- +- ```SQL + SELECT full_name, ssn FROM ( + SELECT ssn, CONCAT(fname, " ", minit, " ", lname) + AS full_name from employee) AS dtable + WHERE full_name IN ("John B Smith", "James E Borg", "Joyce A English"); + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/SQL SELECT%3A Working with Strings & Subqueries.md b/second/semester1/logseq-stuff/pages/SQL SELECT%3A Working with Strings & Subqueries.md new file mode 100644 index 00000000..b26c2296 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/SQL SELECT%3A Working with Strings & Subqueries.md @@ -0,0 +1,181 @@ +title:: SQL SELECT: Working with Strings & Subqueries + +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[SQL DML: SELECT]] +- **Next Topic:** [[Aggregate Clauses, Group By, & Having Clauses]] +- **Relevant Slides:** ![Topic 5 DML SELECT strings and subqueries.pdf](../assets/Topic_5_DML_SELECT_strings_and_subqueries_1664273683998_0.pdf) +- +- # Keywords to Modify Output + - `AS` #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:35:37.700Z + card-last-score:: 1 + - Used to rename any output in `SELECT`. + - Can also be used to **alias** (rename) tables in `FROM`. + - `CONCAT` #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-25T20:35:14.265Z + card-last-reviewed:: 2022-11-14T16:35:14.265Z + card-last-score:: 5 + - Used to **concatenate** strings. + - Similar usage to other programming languages. + - ```sql + SELECT + CONCAT(fname, ' ', minit, ' ', lname) AS Name + FROM + employee + WHERE + salary BETWEEN 50000 AND 80000 + ORDER BY + lname; + ``` + - `CAST` #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:21:08.757Z + card-last-reviewed:: 2022-11-14T20:21:08.757Z + card-last-score:: 5 + - `CAST( AS ())` + - Used to cast to another datatype. + - `ORDER BY` #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-25T20:37:08.438Z + card-last-reviewed:: 2022-11-14T16:37:08.438Z + card-last-score:: 5 + - `ORDER BY `. + - Allows the results of a query to be ordered by values of one or more attributes. + - Either **ascending** `ASC` or **descending** `DESC` - ascending by default. + - Must be the *last* clause of a `SELECT` statement. +- # `TOP` & `LIMIT` #card + card-last-interval:: 10.97 + card-repeats:: 3 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-25T15:38:08.480Z + card-last-reviewed:: 2022-11-14T16:38:08.481Z + card-last-score:: 5 + - The `SELECT TOP ` clause is used to specify the number of tuples (N) to return, but it is not supported by MySQL. + - Instead, MySQL supports a `LIMIT ` clause which has the same functionality. + - The `LIMIT` clause is listed at the end of the query, + - Example: List the employees with the top 3 salaries. + - ```sql + SELECT + ssn, CONCAT(fname, ' ', lname) as Name, salary + FROM + employee + ORDER BY + salary DESC + LIMIT 4; + ``` +- # Strings + - ## Note: 'Single' & "Double" Quotes #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T06:20:40.093Z + card-last-reviewed:: 2022-11-14T20:20:40.094Z + card-last-score:: 5 + - MySQL usually allows single & double quotes to be used interchangably. + - Generally, single quotes should be used for strings (`varchar()`, `text`, etc.). + - ### How to Deal with Apostrophes in Strings #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T11:21:10.692Z + card-last-reviewed:: 2022-11-14T20:21:10.692Z + card-last-score:: 5 + - You have to be careful with apostrophes in strings, as an opening quote could be accidentally closed by an apostrophe. + - To overcome this, if there is an apostrophe in a string, it should be replaced by **two** apostrophes side-by-side `''` (this is a general rule for all special characters - have two of the character) or escape it with `\`. + - Example: Select the salary for the employee with surname O'Grady. + - ```SQL + SELECT salary + FROM employee + WHERE lname = 'O''Grady'; + ``` + - We must also take care when inserting string data using `INSERT INTO`. + - ## Working with Strings & Pattern Matching #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-22T21:33:52.858Z + card-last-reviewed:: 2022-11-18T18:33:52.859Z + card-last-score:: 5 + - SQL is case insensitive (apart from table names if on a Linux server). + - Case insensitivity generally applies to string searching. + - However, *often* when working with strings we do not look for an exact match (i.e., an exact match using `=`). + - To support partial matching, we often use **pattern-matching characters** and `LIKE` with wildcard characters `%` and `_`. + - `%` represents 0 or more characters. + - `_` Represents a single character. + - ### Regexp + - We can use regex for more complicated string matching. + - ```sql + SELECT + FROM + WHERE REGEXP + ``` + - `^` Matches position at the **beginning** of the searched string. + - `$` Matches position at the **end** of the searched string. + - `[]` Matches any character inside the square brackets. + - `[^]` Matches any character **not** inside the square brackets. + - `*` Matches preceeding character 0 or more times. + - `+` Matches preceeding character 1 or more times. + - `|` OR. + - `{n}` Matches preceeding character n number of times. +- # Accessing Data Across Multiple Tables + card-last-score:: 5 + card-repeats:: 2 + card-next-schedule:: 2022-10-11T03:36:21.816Z + card-last-interval:: 3.71 + card-ease-factor:: 2.46 + card-last-reviewed:: 2022-10-07T10:36:21.817Z + - What methods can you use for accessing data across multiple tables? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:10:10.085Z + card-last-reviewed:: 2022-11-14T20:10:10.085Z + card-last-score:: 5 + - There are 3 potential approaches: + - Joins. + - Subqueries. + - Union queries. + - ## Subqueries #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-25T20:36:08.786Z + card-last-reviewed:: 2022-11-14T16:36:08.786Z + card-last-score:: 5 + - A **subquery** (also called a **nested** query)is a query with another query. + - The subquery *usually* returns data that will be used in the main query. + - Data returned from the subquery may be a **set of values** or a **single value**. + - Subqueries can be used with the `SELECT`, `INSERT`, `UPDATE`, and `DELETE` statements. + - ![image.png](../assets/image_1664275471660_0.png) + - The `SELECT` statement that contains a subquery is called an **outer query**. + - ### Connecting Inner & Outer Queries #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:19:14.578Z + card-last-score:: 1 + - If a subquery returns only **one value** then we can use operators such as `=`, `!=`. `>`, `>=`, `<`, `<=`. + - If a subquery *could* return **more than one value** (i.e., a list of values), then we need connectors such as `IN`, `ANY`, `ALL` to check through the values of the subquery. + - The keyword `NOT` can also be used where appropriate. + - These connectors are generally used with basic algebraic operators: `=`, `!=`. `>`, `>=`, `<`, `<=`. + - `ALL` - the condition is true if the comparison is true for **every** (all) values returned by the subquery. + - `ANY` - the condition is true if the comparison is true for **at least one** (any) value returned by the subquery. + - `IN` - the condition is true if the comparison is true for **at least one** value returned by the subquery, i.e., a value IN the subquery. + - `IN` checks for equality - it can be used for a list of values or a single value - it does not require any additional algebraic operator. + - In addition, we can have a more general condition using: + - `EXISTS` - True if there exists at least one value in the result from a subquery. + - `NOT EXISTS` - True if there is nothing in the result from a subquery (i.e., it is empty). + - +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/ST2001 - Statistics in Data Science I.md b/second/semester1/logseq-stuff/pages/ST2001 - Statistics in Data Science I.md new file mode 100644 index 00000000..261559cb --- /dev/null +++ b/second/semester1/logseq-stuff/pages/ST2001 - Statistics in Data Science I.md @@ -0,0 +1,4 @@ +- +- ## Office Hours + - Tuesday 1200 - 1300 +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/ST2001 Labs.md b/second/semester1/logseq-stuff/pages/ST2001 Labs.md new file mode 100644 index 00000000..c01665d3 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/ST2001 Labs.md @@ -0,0 +1,2 @@ +- #[[ST2001 - Statistics in Data Science I]] +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Sampling Distributions & Confidence Intervals.md b/second/semester1/logseq-stuff/pages/Sampling Distributions & Confidence Intervals.md new file mode 100644 index 00000000..6cde747c --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Sampling Distributions & Confidence Intervals.md @@ -0,0 +1,94 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[The Normal Distribution]] +- **Next Topic:** [[Hypothesis Testing]] +- **Relevant Slides:** ![Lecture 8- Sampling dist. and Confidence Intervals(1).pdf](../assets/Lecture_8-_Sampling_dist._and_Confidence_Intervals(1)_1666624233800_0.pdf) +- +- # Probability & Statistics + - In Probability theory, we consider some **known process** which has some randomness or uncertainty. + - We model the outcomes by random variables, and we figure out the probabilities of what will happen. + - There is one correct answer to any probability question. + - In Statistical Inference, we observe something that has happened, and try to figure out what underlying process would explain those observations. + - The basic aim behind all statistical methods is to make inferences about a population by studying a relatively small sample from it. + - Probability is the engine that drives all statistical modelling, data analysis, & inference. +- # Sampling Distributions + - The probability distribution of a **statistic** is called a **sampling** distribution. + - Sampling distributions arise because samples vary. + - Each random sample will have a different value of the statistic. +- # The Central Limit Theorem #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:14:02.517Z + card-last-score:: 1 + id:: 6356abee-cb6a-48c5-8f8b-72122b6099eb + - The sampling distribution of *any* mean becomes more nearly Normal as the sample size grows. + - Observations must be independent. + - The shape of the population distribution doesn't matter. + - What is the **Central Limit Theorem**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:06:03.899Z + card-last-score:: 1 + - The **Central Limit Theorem** states that ==a sample means follow a Normal distribution centred on the population mean== with a standard deviation divided by the square root of the sample size. + - $$\bar X \sim N (\mu, \frac{\sigma^2}{n})$$ + - The CLT depends crucially on the **assumption of independence**. + - ## The Standard Error + - The **Standard Error** is a measure of the variability in the sampling distribution (i.e., how do sample statistics vary about the unknown population parameter they are trying to estimate). + - It describes the typical "error" or "uncertainty" associated with the estimate. + - $$SE = \frac{\sigma}{\sqrt{n}}$$ + - ### Interval Estimation for $\mu$ + - Use the CLT to provide a range of values that will capture 95% of sample means. + - In repeated sampling, 95% of intervals calculated in this manner will contain the true mean $\mu$. + - $$\bar{x} \pm 1.96 \times \frac{\sigma}{\sqrt{n}}$$ +- # Confidence Intervals + - The population mean $\mu$ is **fixed**. + - The intervals from different samples are **random**. + - From our single sample, we only observe one of the intervals. + - Our interval may or may not contain the true mean. + - If we had taken many samples, and calculated the 95% CI for each, 95% of them would include the true mean. + - We say that we are "95% confident" that the interval contains the true mean. + - A **point estimate** (i.e., a statistic) is a single plausible value for a parameter. + - A point estimate is rarely perfect, usually there is some error in the estimate. + - Instead of supplying just a point estimate of a parameter, a next logical step would be to provide a plausible range of values for the parameter. + - To do this, an estimate of the precision of the sample statistic (i.e., the estimate) is needed. +- # The t-distribution + - In practice, we cannot directly calculate the standard error for $\bar x$ since we do not know the population standard deviation, $\sigma$. + - We can use the sample standard deviation $s$ in place of $\sigma$ for computing the standard error of $\bar x$: + - $$SE = \frac{\sigma}{\sqrt{n}} \approx \frac{s}{\sqrt{n}}$$ + - This strategy tends to work well when we have a lot of data and can estimate $\sigma$ using $s$ accurately. However, this estimate is less precise with smaller samples, and this leads to problems when using the normal distribution to model $\bar x$. + - Enter a new distribution for inference calculations called the **t-distribution**. + - A **t-distribution** has a bell shape, but its tails are thicker than the Normal Distribution's, meaning that observations are more likely to fall beyond two standard deviations from the mean than under the Normal Distribution. + - The extra-thick tails of the t-distribution are exactly the correction needed to resolve the problem of using $s$ in place of $\sigma$ in the $SE$ calculation. + - ![image.png](../assets/image_1668111313285_0.png) + - The t-distribution is always centred at zero and has a single parameter: **degrees of freedom**. + - What are **degrees of freedom**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:21:05.697Z + card-last-score:: 1 + - The **degrees of freedom** ($df$) describes the precise form of the bell-shaped t-distribution. + - In general, $df = n -1$ where $n$ is the sample size. + - That is, when we have more observation, the degrees of freedom will be larger and the t-distribution will look more the standard normal distribution. + - When $df \geq 30$, the t-distribution is nearly indistinguishable from the normal distribution. +- # The Bootstrap + - We can quantify the variability of sample statistics using theory, e.g. ((6356abee-cb6a-48c5-8f8b-72122b6099eb)), or by **simulation** via **bootstrapping**. + - ## Bootstrapping Scheme #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-22T00:00:00.000Z + card-last-reviewed:: 2022-11-21T13:10:41.508Z + card-last-score:: 1 + - 1. Take a **bootstrap sample** - a random sample taken **with replacement** from the original sample, of the same size as the original sample. + 2. Calculate the bootstrap statistic - a statistic such as mean, median, proportiion, etc., computed on the bootstrap samples. + 3. Repeat steps 1. & 2. many times to create a bootstrap distribution - a distribution of bootstrap statistics. + 4. Calculate the bounds of the XX% confidence interval as the middle of the XX% of the bootstrap distribution. +- # Theorem 9.2 + - If $\bar x$ is used as an estimate of $\mu$, we can be $100(1 - \alpha)%$ confident that the error will not exceed a specified amount $e$ when the sample size is + - $$n = \left(\frac{z_\alpha / 2^\sigma}{e} \right)^2$$ +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Sampling.md b/second/semester1/logseq-stuff/pages/Sampling.md new file mode 100644 index 00000000..e8f3e766 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Sampling.md @@ -0,0 +1,100 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Exploratory Data Analysis]] +- **Next Topic:** [[Probability]] +- **Relevant Slides:** ![Topic 3 - Sampling.pdf](../assets/Topic_3_-_Sampling_1663599787566_0.pdf) +- +- What is a **Parameter**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-23T00:00:00.000Z + card-last-reviewed:: 2022-11-22T13:40:14.581Z + card-last-score:: 1 + - A **parameter** is a single value summarising some feature or variable of interest in the population. + - It is usually unknown. +- What is **inference**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-22T23:24:34.466Z + card-last-reviewed:: 2022-10-20T08:24:34.467Z + card-last-score:: 5 + - **Inference** is the process of making decisions about a population based on information in a sample. +- A consequence of **natural variation** is that two samples drawn form the same population will usually give different estimates of the population parameters. +- +- # Sampling + collapsed:: true + - What is **non-probabilistic sampling**? #card + card-last-interval:: 29.04 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-13T20:02:44.059Z + card-last-reviewed:: 2022-11-14T20:02:44.059Z + card-last-score:: 5 + - **Non-probabilistic sampling** methods are techniques of obtaining a sample that is not chosen at random and may be subject to **sampling bias**. + - ## Simple Random Sample + - ### Difficulties: + - Obtaining a sampling frame (list of all experimental units). + - Possibly time consuming / expensive. + - Minority groups, by chance, may not be represented in the sample. + - ## Stratified Random Sampling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:40.391Z + card-last-score:: 1 + - 1. Split entire population into **homogeneous groups**, called **strata**. + 2. Take a Simple Random Sample from each stratum. + - ### Stratified VS Simple Random Sample + - Ensure representation from minority groups. + - Estimates of the population parameters per strata may be of interest. + - Possible reduction in cost per observation in the survey. + - Increased accuracy as reduced sampling error (less variation within a stratum). + - + - ### Difficulties + - Can you correctly allocate each individual to one & only one stratum? + - Should every group receive equal weight? + - What if some strata are more varied than others? + - Take into account mean, variance, and cost to get "optimal allocation". + - ## Cluster Sampling #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:48.138Z + card-last-score:: 1 + - Instead of randomly choosing individuals, a Simple Random Sample of collection or groups of individuals is taken. + - The population is broken up into regions or groups, usually a *natural partition*, called a **cluster**. + - Internally heterogeneous, homogeneous between the clusters. + - Clusters are assumed representation of the entire population. + - Small number of clusters are selected at random. + - Every individual within a cluster is observed. + - + - ### Cluster Over Stratified + - Sampling frame not necessarily needed. + - May be more practical and / or economical than Simple or Stratified Random Sampling. + - Will be biased if the entire cluster is not sampled. + - Careful if homogeneity within a cluster and heterogeneity between clusters as this can increase sample error. + - **Note:** In stratified sampling, all strata are sampled, while in cluster sampling only some clusters are sampled. +- # Studies & Experiments + - ## Observational Studies & Experiments #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-27T15:18:34.757Z + card-last-reviewed:: 2022-11-23T12:18:34.758Z + card-last-score:: 5 + - In an **Observational Study**, data is collected only be *observing* what occurs. + - E.g., surveys, historical records. + - When researchers want to investigate **causal relationships**, it's best to conduct an experiment. + - Usually there will be both an explanatory variable & a response variable. + - Be wary of confounding variables. + - ## Designed (Comparative) Study + - An experiment allows us to prove a cause-and-effect relationship. + - The experimenter must identify: + - at least one **explanatory variable**, called a **factor** to manipulate. + - at least one **response** variable to measure. + - The experimenter must also control any other **nuisance factors** that could influence the response. + - e.g., weather, day of the week. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Second Year University.md b/second/semester1/logseq-stuff/pages/Second Year University.md new file mode 100644 index 00000000..3c63582a --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Second Year University.md @@ -0,0 +1,12 @@ +- ## Semester 1 + - ### Timetable + - ![2BCT-1.pdf](../assets/2BCT-1_1662890969894_0.pdf) + - ### Subjects + - ### [[CT213 - Computer Systems & Organisation]] + - ### [[ CT230 - Database Systems I]] + - ### [[MA284 - Discrete Mathematics]] + - ### [[CT216 - Software Engineering I]] + - ### [[CT2106 - Object-Oriented Programming]] + - ### [[ST2001 - Statistics in Data Science I]] + - ### [[CT255 - Next Generation Technologies II]] +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Social Engineering.md b/second/semester1/logseq-stuff/pages/Social Engineering.md new file mode 100644 index 00000000..fc4b4034 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Social Engineering.md @@ -0,0 +1,84 @@ +- #[[CT255 - Next Generation Technologies II]] +- **Previous Topic:** [[Hash Cracking Using Rainbow Tables]] +- **Next Topic:** [[DIffie-Hellman Key Exchange]] +- **Relevant Slides:** ![ct255_05.pdf](../assets/ct255_05_1665403304356_0.pdf) +- +- What is **Social Engineering**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:10:38.202Z + card-last-reviewed:: 2022-11-14T20:10:38.202Z + card-last-score:: 5 + - **Social Engineering** is the use of deception to manipulate individuals into divulging confidential or personal information that may be used for fraudulent purposes. +- What is **Phishing**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:09:18.304Z + card-last-reviewed:: 2022-11-14T20:09:18.304Z + card-last-score:: 5 + - **Phishing** usually involves sending malicious emails from supposedly trusted sources to as many people as possible, assuming a low response rate. +- What is **Spear Phishing**? #card + card-last-interval:: 14.2 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-12-05T17:10:15.178Z + card-last-reviewed:: 2022-11-21T13:10:15.178Z + card-last-score:: 5 + - In **Spear Phishing**, the perpetrator is disguised as a trusted individual, such as a boss, friend, or spouse. +- What is **Whaling**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:08:34.227Z + card-last-score:: 1 + - **Whaling** uses deceptive email messages targeting high-level decision makers within an organisation, such as CEOs or other executives. + - Such individuals have access to highly valuable information, including trade secrets & passwords to administrative company accounts. +- What is **Smishing**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-18T20:09:23.408Z + card-last-reviewed:: 2022-11-14T20:09:23.409Z + card-last-score:: 5 + - **Smishing** is portmanteau for "SMS Phishing", and it works much the same as phishing. + - Users are tricked via an SMS text rather than from an email. +- What is **Vishing**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-11-22T18:35:22.344Z + card-last-reviewed:: 2022-11-18T18:35:22.345Z + card-last-score:: 5 + - **Vishing**, also called **VOIP Phishing** is the voice counterpart to phishing. + - For example, an email asks the user to make a phone call, or victims receive an unsolicited call. +- What is **Pretexting**? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T15:07:29.538Z + card-last-reviewed:: 2022-11-14T20:07:29.538Z + card-last-score:: 5 + - **Pretexting** is the practice of presenting oneself as someone else in order to obtain private information. + - It is more than just creating a lie, in some cases, it can involve creating an entirely new identity and then using that identity to manipulate the receipt of information. + - Pretexting goes hand-in-hand with vishing. +- What is a **Watering Hole** attack? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-17T15:08:14.319Z + card-last-reviewed:: 2022-11-14T20:08:14.320Z + card-last-score:: 5 + - A **Watering Hole** attack consists of injecting malicious code into public web pages of a website that the target visits. + - The attackers typically compromise websites within a specific sector that are typically visited by specific individuals of interest for the attacks. +- What is **Pharming**? #card + card-last-interval:: 2.8 + card-repeats:: 2 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-20T04:49:56.535Z + card-last-reviewed:: 2022-11-17T09:49:56.536Z + card-last-score:: 5 + - **Pharming** scams redirect users to a copy of a popular website where personal data such as usernames, passwords, & financial information can be "farmed" & collected for fraudulent use. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Software Processes.md b/second/semester1/logseq-stuff/pages/Software Processes.md new file mode 100644 index 00000000..66301950 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Software Processes.md @@ -0,0 +1,85 @@ +- #[[CT216 - Software Engineering I]] +- **Previous Topic:** [[Cloud Computing]] +- **Next Topic:** [[Introduction to Agile Methods]] +- **Relevant Slides:** ![Week 2 - Software Processes.pdf](../assets/Week_2_-_Software_Processes_1663178767479_0.pdf) +- +- # The Software Process + - What is the **Software Process**? + card-last-interval:: 12.36 + card-repeats:: 3 + card-ease-factor:: 2.7 + card-next-schedule:: 2022-10-19T18:39:50.523Z + card-last-reviewed:: 2022-10-07T10:39:50.524Z + card-last-score:: 5 + - The **Software Process** is a structured set of activities required to develop a software system. + - What are the 4 fundamental activities in the Software Process? #card + card-last-interval:: 3.45 + card-repeats:: 2 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-18T02:27:50.775Z + card-last-reviewed:: 2022-11-14T16:27:50.775Z + card-last-score:: 5 + - **Specification** + - Talk to the customer + - Understand the problems + - Talk to any relevant stakeholders + - **Development** + - Map out the tasks + - Design the software + - Develop the solution + - **Validation** + - Does the software meet the requirements? + - Is it what the customer wanted? + - **Evolution** (maintenance) + - Modified to adapt + - Changes in requirements + - Customer & Market conditions + - The foundation of software engineering is the **process**. + - The **goal** of software engineering is to efficiently & predictably deliver a product that meets the requirements. + - +- # Software Engineering Practice + - ### **1) Understand the problem** (*Communication & Analysis*) + - Who are the stakeholders? + - What are the unknowns? + - ### **2) Plan the solution** (*Modelling & Software Design*) + - Have we seen this problem before? + - Has a similar problem already been solved? + - Can sub-problems be found? + - ### **3) Carry out the plan** (*Write the Code*) + - Does the solution conform to the plan? + - Has the code been reviewed for correctness? + - ### **4) Examine the result** (*Test It*) + - Is each component testable? + - Does the solution produce results as defined originally? + - +- # General Software Engineering Questions + - **What** is the problem to be solved? + - Requirements definition + - **What** are the characteristics of the software (system) used to solve the problem? + - Analysis + - **How** will the system be realised / constructed? + - Design + - **How** will the system be supported long-term? + - Maintenance +- +- # Overview of Software Engineering + - There are 3 generic phrases, regardless of paradigm: + - **Definition** - a focus on the *What* + - System Analysis, Software Project Planning, Requirements Analysis + - **Development** - a focus on the *How* + - Software Design, Coding, Software Testing + - **Maintenance** - a focus on *Change* + - Correction, Adaption, Enhancement + - +- +- # Software Engineering Should... + - Provide a clear statement of the project **mandate** & objectives + - Create effective means of **communication** + - Increase user **involvement** & **ownership** + - Provide an effective **management framework** to support **productivity** & pragmatism + - Establish **quality assurance** procedures + - Provide sound resource **estimation** & **allocation** procedures + - Ensure the **effectiveness** and **durability** of systems produced + - Encourage the **re-usability** of code and / or solutions + - Reduce the organisation's **vulnerability** to the loss of software development personnel + - Reduce & support post implementation **maintenance** of system \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Sorting & Testing.md b/second/semester1/logseq-stuff/pages/Sorting & Testing.md new file mode 100644 index 00000000..17cb7b42 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Sorting & Testing.md @@ -0,0 +1,24 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Static Fields & Exceptions]] +- **Next Topic:** No Next Topic. +- **Relevant Slides:** ![Lecture-22___2022.pdf](../assets/Lecture-22_2022_1668765583448_0.pdf) +- +- # Natural Ordering + - When deciding on whether one object is greater than or less than another, we refer to the **natural ordering** of the object's class. + - Natural ordering is the ordering imposed on an object when its class implements the **Comparable** interface. + - ```java + public interface Comparable + ``` + - This interface imposes a total ordering on the objects of each class that implements it. + - The class's `compareTo()` method is referred to as its **natural comparison method**. + - Lists (and arrays) that implement this interface can be sorted automatically by `Collections.sort`. + - Objects that implement this interface can be used as keys in a sorted map or as elements in a sorted set, without the need to specify a comparator. + - The `` in `Comparable` means that we can specify in advance the types of the object that should be compared. + - It returns a negative integer, zero, or a positive integer depending on whether the object is less than, equal to, or greater than the specified object. +- # `assert` + - Use `assert` to declare that a statement **must be true**. + - If it is not true, your program will throw an `AssertionError` Exception. + - You can use the `assert` statement as a quick way to test for expected output. + - ```java + assert(2==2); + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Stars & Bars.md b/second/semester1/logseq-stuff/pages/Stars & Bars.md new file mode 100644 index 00000000..70f7d5e3 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Stars & Bars.md @@ -0,0 +1,33 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Combinatorial Proofs]] +- **Next Topic:** [[Advanced PIE, Derangements, & Counting Functions]] +- **Relevant Slides:** ![MA284-Week05.pdf](../assets/MA284-Week05_1664971430860_0.pdf) +- +- Example: How many ways can you give 7 apples to 4 lecturers? + - How many ways can you arrange 3 bars out of 7 stars and 3 bars (10)? + - $$* | * | * | * * *$$ + - $$\binom{10}{3} = 120$$ +- # Multisets vs Sets + - What is a **multiset**? #card + card-last-interval:: 11.2 + card-repeats:: 3 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-26T00:11:32.886Z + card-last-reviewed:: 2022-11-14T20:11:32.887Z + card-last-score:: 5 + - A **multiset** is a set of objects, where each object can appear more than once. + - As with an ordinary set, order doesn't matter. + - **Set:** Neither order nor repetition of elements matters. + - e.g., $\{a,b,c\} = \{c,a,b\} = \{c,c,a,b,a,b,c\}$ + - **Multiset:** Order does not matter, but we count the **multiplicity** (number of times it occurs) of each element. + - e.g., $\{a,b,c\} \neq \{c,c,a,b,a,b,c\}$, provided they are **multisets**. + - + - **Example:** How many **multisets** of size 4 can you form using numbers $\{1,2,3,4,5\}$? + - Let's answer this using stars & bars. + - e.g.: + - $\{1,2,3,4\} = * | ** | |*|$ + - $\{5,3,3,1\} = *||**||*$ + - Each multiset can be represented using 8 boxes & 4 stars. + - $$5^4 = 625$$ +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Static Fields & Exceptions.md b/second/semester1/logseq-stuff/pages/Static Fields & Exceptions.md new file mode 100644 index 00000000..c16a60af --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Static Fields & Exceptions.md @@ -0,0 +1,95 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[Interfaces]] +- **Next Topic:** [[Sorting & Testing]] +- **Relevant Slides:** ![Lecture-21___2022.pdf](../assets/Lecture-21_2022_1668676202336_0.pdf) +- +- # Static Fields + - What is a **static field**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T08:47:13.874Z + card-last-reviewed:: 2022-11-17T09:47:13.874Z + card-last-score:: 3 + - Up until now, the instance variables that we have used have had scope at object level. + - A **static field** is a variable that has scope at the **class level**. + - Typically, static fields are used to hold constant, non-changing data. + - Often, they may be declared public & **final**. + - This means that they can be accessed directly by other classes & objects but cannot be changed. + - One uses static fields when one wants to declare a value/property that is unchanging or common to all objects of a class. +- Generally, static variables are CAPITALISED. +- When referencing a static field, we use the form `ClassName.`. + - e.g., `Cards.RANKS`. +- # Exceptions + - What is an **Exception**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-20T04:45:26.574Z + card-last-reviewed:: 2022-11-17T09:45:26.575Z + card-last-score:: 5 + - An **exception** is an "exceptional event" - one that may lead to a serious error in your program if not handled appropriately. + - An exception is generated only when the program runs - hence it is known as a **runtime error**. + - Very often, the error (& the exception generated), occur when the program is asked to do something that is impossible for it to do. + - In Java, each exception is represented by an **Exception Object**. + - ## Programming for Exceptions - Throwing Exceptions + - As the programmer, it is your responsibility to anticipate the situations in which your program will fail. + - You have to write code to manage any exceptional events that may occur withing your program. + - When a program generates an Exception object, it is said to *throw an Exception*. + - When an Exception is thrown, the program must have code in place to **catch it** - otherwise the program will terminate. + - ### Throwing an Exception #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:45:39.752Z + card-last-score:: 1 + - 1. Detecting an error. + 2. Creating an Exception object. + 3. Passing the Exception object to the Java Runtime Environment (JRE) Exception Handling Procedures. + - This also means that the execution of the method does not complete. + - 4. The JRE then looks for a part of your program to take responsibility for this error. + - In other words, your program should also have code ready to **catch** the error. + - ### `throws` #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T08:46:16.012Z + card-last-reviewed:: 2022-11-17T09:46:16.013Z + card-last-score:: 3 + - When you want a method to throw an Exception, you add the keyword `throws` and the Exception type to the method signature. + - `public Card (int suit, int rank) throws IllegalArgumentException` + - This tells any code that wants to call the constructor method that it may throw an `IllegalArgumentException`, which indicates that a method has been passed an illegal or inappropriate argument. + - To throw an exception, you use the `throw` keyword. + - ```java + if (rank < 1 || rank > Card.RANKS.length -1) { + throw new IllegalArgumentException("Incorrect rank value: " + rank); + } + ``` + - ### Graceful Recovery + - If an exception is not caught, the JRE will terminate the program. + - This is a drastic step. + - In most cases, you will want your program to recover gracefully from an exception & carry on. + - This involves **catching** the Exception that has been generated. + - ### `try` / `catch` + - If you want the program to recover from the Exception, you have to catch & handle it. + - This means using a `try`/`catch` expression. + - `try`: Try to execute this piece of code. + - If it executes without throwing an exception, fine - there is no need for the `catch` clause to be executed. + - `catch`: If an exception has been thrown, then execute this piece of recovery code to **handle** the Exception (very often just an error message). + - ```java + try { + // call the code that may call an Exception + } catch(/*TheExceptionClass variable*/) { + // how you want to handle the error + } + ``` + - ## Some Common Unchecked Excpetions + - | **Name** | **Description** | + | `NullPointerException` | Thrown when attempting to access an object with a reference variable whose current value is `null` | + | `ArrayIndexOutOfBound` | Thrown when attempting to access an array with an invalid index value (either negative or beyond the length of the array). | + | `IllegalArgumentException` | Thrown when a method receives an argument that is not formatted how the method expects. | + | `IllegalStateException` | Thrown when the state of the environment doesn't match the operation being attempted, e.g., using a Scanner that has been closed. | + | `NumberFormatException` | Thrown when a method that converts a String to a number receives a String that it cannot convert. | + | `ArithmeticException` | Arithmetic error, such as divide-by-zero.| + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/System Software & Operating Systems.md b/second/semester1/logseq-stuff/pages/System Software & Operating Systems.md new file mode 100644 index 00000000..b5752c54 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/System Software & Operating Systems.md @@ -0,0 +1,404 @@ +- #[[CT213 - Computer Systems & Organisation]] +- **Previous Topic:** [[Programming Models]] +- **Next Topic:** [[Process Management]] +- **Relevant Slides:** ![Lecture 3.pdf](../assets/Lecture_3_1663453274726_0.pdf) + id:: 6326480d-27b6-4d5f-a1d4-5c446ceef351 +- +- # Types of Software + - What is **Application Software**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T06:02:33.036Z + card-last-reviewed:: 2022-11-14T20:02:33.036Z + card-last-score:: 5 + - **Application Software** is a computer program designed to perform a group of coordinated functions for the benefit of the user. + - It is designed solve a specific problem. + - What is **System Software**? #card + card-last-interval:: 31.05 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-15T21:10:52.302Z + card-last-reviewed:: 2022-11-14T20:10:52.302Z + card-last-score:: 3 + - **System Software** is a program dedicated to ^^managing the computer.^^ + - It provides a platform to other software & a general programming environment. + - There are two main types of system software: + - **Operating System** + - **Utility Software** + - What is the **Operating System (OS)**? #card + card-last-interval:: 29.99 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-14T19:04:40.695Z + card-last-reviewed:: 2022-11-14T20:04:40.696Z + card-last-score:: 5 + - The **Operating System** provides functions used by the **application software**. + - It provides the mechanisms for application software to **share** the hardware in an orderly fashion to: + - **Increase the overall performance** by allowing different application software to use different parts of the computer at the same time. + - **Decrease the time to execute** a collection of programs and, again, increase the overall performance + - The OS interacts directly with the hardware to provide an interface to other system software and with application software whenever the application software wants to use the system's resources. + - The OS is **application-domain independent**, provides **resource abstraction**, and provides **resources sharing** through strict resource management policies. + - What is **Utility Software**? #card + card-last-interval:: 29.99 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-14T19:04:31.529Z + card-last-reviewed:: 2022-11-14T20:04:31.529Z + card-last-score:: 5 + - **Utility Software** is system software designed to help **analyse**, **configure**, **optimise**, or **maintain** a computer. + - Examples include data compression, disk cleaners, disk defragmentation, registry cleaners, or system monitors. +- +- # Resources + collapsed:: true + - What are **Resources**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:28:34.225Z + card-last-score:: 1 + - Different hardware components that a program may access are referred to as **resources**. + - Any particular resource, such as a hard disk, has a generic interface that defines how the programmer can make the resource perform a desired operation. + - What is **Resource Abstraction**? #card + card-last-interval:: 19.01 + card-repeats:: 4 + card-ease-factor:: 2.18 + card-next-schedule:: 2022-12-03T20:01:30.272Z + card-last-reviewed:: 2022-11-14T20:01:30.272Z + card-last-score:: 5 + - Resource Abstraction is done by providing an ^^abstract model of the operation of the hardware components.^^ + - Abstraction generalises the hardware behaviour but ^^restricts its flexibility.^^ + - With abstraction, certain operations become easy to perform, while others may become ^^impossible^^, such as specific hardware control. + - An abstraction can be made to be much simpler than the actual resource interface. + - Simpler resources can be abstracted to a ^^common abstract resource interface.^^ + - ## Resource Sharing + - Abstract & physical resources can be shared among a set of concurrently executing programs. + - What is **Space Multiplex Sharing**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:33:28.408Z + card-last-score:: 1 + - **Space Multiplex Sharing** is when resources can be divided into two or more **distinct units** of the resource that can be used independently. + - E.g., Memory, HDD. + - What is **Time Multiplex Sharing**? #card + card-last-interval:: 0.79 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T10:26:36.497Z + card-last-reviewed:: 2022-11-14T16:26:36.497Z + card-last-score:: 3 + - **Time Multiplex Sharing** is when a process is allocated ^^exclusive control of an entire resource for a short period of time^^ (not **spatially divisible**). + - E.g., the Processor Resource. +- +- # Operating Systems + - ## OS Organisation + collapsed:: true + - ![image.png](../assets/image_1663456127205_0.png) + - What is the **Process & Resource Manager**? #card + card-last-interval:: 0.79 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-15T10:26:53.305Z + card-last-reviewed:: 2022-11-14T16:26:53.305Z + card-last-score:: 3 + - The **Process & Resource Manager** handles ^^resource allocation.^^ + - It uses the abstraction provided by the other managers. + - What is the **Memory Manager**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-22T18:34:34.745Z + card-last-reviewed:: 2022-11-18T18:34:34.745Z + card-last-score:: 3 + - Besides other functions, the **Memory Manager** is in charge of the ^^implementation of the **virtual memory**.^^ + - It is classically a separate part of the operating system. + - What does the **File Manager** do? #card + card-last-score:: 1 + card-repeats:: 1 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-interval:: -1 + card-ease-factor:: 2.6 + card-last-reviewed:: 2022-11-14T20:14:20.814Z + - The **File Manager** abstracts device I/O operations into a relatively simple operation. + - What is the **Device Manager**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:43:01.202Z + card-last-score:: 1 + - The **Device Manager** handles the details of ^^reading & writing to the physical devices.^^ + - The Device Manager is implemented within the **device driver**. + - ## OS Evolution + collapsed:: true + - ### Computers with no OS + collapsed:: true + - Programming in machine language. + - Lack of I/O devices. + - ### Rudimentary OS + collapsed:: true + - Programming done in Assembly. + :LOGBOOK: + CLOCK: [2022-09-18 Sun 00:46:32] + :END: + - Some basic I/O devices. + - Some I/O control modules - assembler, debugger, loader, linker. + - ### Batch Processing System + collapsed:: true + - Service a collection of **jobs**, called a **batch**, from a **queue**. + - What is a **Job**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:19:14.338Z + card-last-score:: 1 + - A **Job** is a predefined sequence of commands, programs, and data combined into a single unit. + - Job Control Language and monitor batch (Interpreter for JCL). + - The user doesn't interact with programs while they operate. + - Process Scheduling: **FIFO**. + - Memory is divided into two parts: **system memory** and **program memory**. + - No special jobs for I/O management, as a job has exclusive access to the I/O devices. + - File management. + - ### Operating Systems that use **Multiprogramming** + collapsed:: true + - What is **Multiprogramming**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-21T20:25:39.838Z + card-last-reviewed:: 2022-11-17T20:25:39.838Z + card-last-score:: 3 + - **Mulitprogramming** is the technique of loading multiple programs into **space-multiplexed memory** while **time-mulitplexing** the processor. + - **Timesharing Systems**, **Real-Time Operating Systems**, and **Distributed Operating Systems** all use multiprogramming. + - + - #### Common Features of Multiprogramming Systems #card + card-last-interval:: 15.05 + card-repeats:: 4 + card-ease-factor:: 1.94 + card-next-schedule:: 2022-11-26T12:30:04.351Z + card-last-reviewed:: 2022-11-11T11:30:04.352Z + card-last-score:: 3 + - **Multitasking:** multiple processes sharing machine resources. + - **Hardware Support** for memory protection & I/O devices. + - **Multi-user** & **multi-access** support (through time-sharing mechanisms). + - Optional support for **real-time operations** (based on efficient usage of multitasking support). + - Interactive user interface. + - + - #### Time Sharing Systems #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-18T20:14:17.489Z + card-last-reviewed:: 2022-11-14T20:14:17.489Z + card-last-score:: 3 + - **Time Sharing Systems** have **multiprogramming** & **multi-user** support. + - They use **time slice** (round robin) processor scheduling. + - They have protection & inter-process communication support for Memory Management. + - They have support for the protection & sharing of I/O between users. + - The File Management has protection support & sharing support between users. + - ![image.png](../assets/image_1663504895182_0.png) + - #### Real-Time Operating Systems #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:16:00.838Z + card-last-score:: 1 + - **Real-Time Operating Systems** are used whenever a large number of ^^critical external events^^ have to be treated in a short or ^^limited time interval^^ . + - They have support for multiprogramming / multi-tasking. + - The main goal of Real-Time Operating Systems is the **minimisation of response time** to service the external events. + - + - Processor Scheduling: Priority-based pre-emptive. + - Memory Management: + - Concurrent processes are loaded into the memory. + - Support for protection & inter-process communication. + - I/O Management: + - Critical in time. + - Processes dealing with I/O are directly connected to the **interrupt vectors** (for handling interrupt requests). + - File Management: + - File Management may not be present. + - If it exists, it should comply with the requirements for **Time Sharing** & **Real-Time** systems. + - ![image.png](../assets/image_1663504922118_0.png) + - #### Distributed Operating Systems #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.22 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:04:11.371Z + card-last-score:: 1 + - Multiprogramming induces a ^^strong **centralisation** tendency.^^ + - **Distributed Operating Systems** aim for ***decentralisation***. + - Distributed Operating Systems are based on computer **network** technologies, with different communication & synchronisation protocols. + - **Client-Server** application architecture. + - **Security** & **Protection** are the primary concerns. + - ![image.png](../assets/image_1663586535352_0.png){:height 313, :width 318} + - ### Modern Operating Systems + collapsed:: true + - **Modern Operating Systems** take attributes from Batch, Timesharing, Real-Time, & Distributed Operating Systems. + - Batch OS -> Constant load on the processor on low-priority tasks. + - Timesharing OS -> Interactive processes are treated on a time share. + - Real-Time OS-> Critical Processes (i.e., network drivers) are tread according to real-time constraints. + - Distributed OS -> Client-Server model protocols. + - + - ## OS Implementation Considerations + collapsed:: true + - ### Monolithic Operating System #card + collapsed:: true + card-last-interval:: 0.85 + card-repeats:: 2 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T15:50:22.513Z + card-last-reviewed:: 2022-11-17T19:50:22.513Z + card-last-score:: 3 + - **Monolithic Operating Systems** try to achieve the functional requirements by ^^executing all the code in the same address space^^ to increase the performance of the system. + - They are often too complex to manage. + - ### Hierarchical Operating System #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T20:18:29.505Z + card-last-score:: 1 + - **Hierarchical Operating Systems** run most of their services in the **user space**, aiming to improve maintainability & modularity of the codebase. + - Suitable for Object-Oriented Programming, the levels are very well-defined. + - + - **Multiprogramming:** The illusion that multiple programs are running simultaneously. + - **Protection:** Access to shared system resources. + - **Processor Modes:** Different privilege levels. + - Restrictions on the operations that can be run. + - **Kernels:** Complete control over everything in the system (i.e., supervisor). + - ### Multi-Programming #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:23:25.857Z + card-last-score:: 1 + - **Multiprogramming** is a technique that allows the system to present the illusion that multiple programs are running on the computer simultaneously. + - It is achieved by ^^switching rapidly between programs.^^ + - Each program is allowed to execute for a fixed amount of time called a **timeslice**. + - When a program timeslice ends, the OS stops it, removes it, and gives another program control over the processor - this is a **context switch**. + - To do a context switch, the OS copies the contents of the current program register file into memory, restores the contents of the next program's register file into the processor, and starts executing the next program. + - From the program POV, they can't tell that a context switch has been performed. + - **Protection** between multi-programmed programs is very important. + - Many multiprogrammed computers are **multi-user** - they allow multiple persons to be logged on at a time. + - Besides Protection, data **privacy** is also important. + - ### Protection #card + card-last-interval:: 7.44 + card-repeats:: 3 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-22T02:35:46.684Z + card-last-reviewed:: 2022-11-14T16:35:46.685Z + card-last-score:: 3 + - The result of any program running on a multiprogrammed computer ^^must be the same^^ as if the program was the only program running on the computer. + - Programs ^^must not be able to access other program's data^^ and must be confident that their data will not be modified by other programs. + - Programs ^^must not interfere with other program's use of I/O devices.^^ + - **Protection** is achieved by having the ^^OS have full control over the resources of the system^^ (processor, memory, & I/O devices). + - + - **Virtual Memory** is one of the techniques used to achieve protection between programs. + - Each program operates as if it were the only program on the computer, occupying a full set of the address space as in its virtual space. + - The OS is **translating** memory addresses that the program references into physical addresses used by the memory system. + - As long two program's addresses are not translated to the same address space, programs can be written as if they were the only ones running on the machine. + - ### Processor Modes + collapsed:: true + - What are **Processor Modes**? #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-11-25T13:06:30.927Z + card-last-reviewed:: 2022-11-21T13:06:30.928Z + card-last-score:: 5 + - **Processor Modes** are operating modes for the CPU that ^^place restrictions^^ on the operations that can be performed by the currently running process. + - Hardware supported CPU modes help the OS to ^^enforce rules^^ that would prevent viruses, spyware, & similar malware from running. + - Only very specific & limited "kernel" code would run unrestricted. + - Any other software (including portions of the OS), would run restricted and would have to ask the "kernel" for permission to modify anything that could compromise the system. + - Multiple mode levels could be designed. + - + - The **mode bit** is used to define the **execution capability** of a program on a processor. + - The mode bit may be logically extended to define areas of memory to be used when the processor is in supervisor mode, versus when it is in user mode. + - #### Supervisor Mode #card + card-last-interval:: 31.05 + card-repeats:: 4 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-12-15T21:10:41.635Z + card-last-reviewed:: 2022-11-14T20:10:41.635Z + card-last-score:: 3 + - The processor can execute ^^any instruction.^^ + - Instructions that can be executed only in supervisor mode are called *supervisor*, *privileged*, or *protected* instructions. (E.g., I/O instructions). + - The executing process has access on both memory spaces. + - #### User Mode #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.08 + card-next-schedule:: 2022-11-26T13:41:27.100Z + card-last-reviewed:: 2022-11-22T13:41:27.101Z + card-last-score:: 3 + - The processor can execute only a ^^subset of the instruction set.^^ + - The executing process has access only to the ^^user space.^^ + - Some processors do not differentiate between protected mode & user mode. + - + - #### Privileged Mode + - To ensure that the OS is the only one that can control the physical resources, it executes in **Privileged Mode**. + - The OS is also responsible for **Low-Level UI** + - When keys are pressed, the OS is responsible to determine which program should receive the input. + - When a program wants to display some output, the user program executes some system call that displays the data. + - User programs execute in **User Mode** + - When User Mode programs want to execute something that requires privileged rights, it sends a request to the OS, known as a **system call**, that asks the OS to do the operation for them. + - + - + - ## Kernel + collapsed:: true + - What is the **Kernel**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-12-16T04:09:50.119Z + card-last-reviewed:: 2022-11-14T20:09:50.120Z + card-last-score:: 5 + - The **Kernel** (sometimes called the **nucleus**) is the part of the operating system that executes in supervisor mode. + - The Kernel operates as **trusted** software + - It implements protection mechanisms that cannot be changed through the actions of un-trusted software executing in user mode. + - It provides the lowest level abstraction layer for resources (memory, processors, and IO devices). + - A fundamental design decision: Should a given function of the OS be incorporated in the kernel or not? + - Protection issues. + - Performance issues. + - ## Methods for Requesting System Services + - 1. Through a **Command Line Interface** + - By calling a specific command. + - Using a command interpreter known as a **shell**. + - #### Command Execution Mechanism #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:27:04.739Z + card-last-score:: 1 + - A key pressed by the user generates a hardware interrupt. + - A specialised module of the OS reads the keyed character and stores it in a special command line buffer. + - There are special characters (e.g., to edit the command line) that are not stored in the command line buffer. + - Control is taken by the shell (command interpreter) when an **end of line** is detected. + - The command is **analysed** (with error or success). + - If successful, the shell decides if it is an **internal** or **external** command (for another module). + - If **internal:** the shell tries the execution, which can end successfully or with an error. + - If **external:** the shell looks for the corresponding executable file & executes it with the detected parameters from the previous phrase. + - 2. From user processes requesting services from the OS + - #### System Call + - The parameters of the call are passed according to the **specific OS convention** & hardware architecture. + - Switch to **protected (supervisor) mode** using a specific mechanism. + - E.g., software interrupt, trap, special instruction of type "call supervisor". + - This mechanism is different to a normal call. + - A **special module** takes over, that will analyse the parameters & their access rights. + - This module can reject the system call. + - If accepted, the **corresponding routine** from the OS is executed and the **result** is returned to the user. + - Upon return, the user mode is returned. + - #### Message + - The user process ^^constructs a **message** (A) that describes a desired service.^^ + - It uses the **send** function to pass the message to a trusted operating system process. + - The send function checks the message, switches the processor to **protected mode**, & then delivers the message to the process that implements the target function. + - Meanwhile, the user waits for a result with a **message receive** operation. + - When the kernel finishes processing the request, it sends a message (B) back to the user process. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Templates.md b/second/semester1/logseq-stuff/pages/Templates.md new file mode 100644 index 00000000..1fe45efc --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Templates.md @@ -0,0 +1,22 @@ +- Lecture Notes + template:: Lecture Notes + template-including-parent:: false + - **Previous Topic:** + - **Next Topic:** + - **Relevant Slides:** +- +- Kanji + template:: Kanji + template-including-parent:: false + - # #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-21T13:29:32.292Z + card-last-reviewed:: 2022-11-18T18:29:32.292Z + card-last-score:: 5 + - **意味:** + - **訓読み:** + - **音読み:** + - ## 例 +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/The Normal Distribution.md b/second/semester1/logseq-stuff/pages/The Normal Distribution.md new file mode 100644 index 00000000..cc08078c --- /dev/null +++ b/second/semester1/logseq-stuff/pages/The Normal Distribution.md @@ -0,0 +1,115 @@ +- #[[ST2001 - Statistics in Data Science I]] +- **Previous Topic:** [[Discrete Probability Distributions: Binomial & Poisson]] +- **Next Topic:** [[Sampling Distributions & Confidence Intervals]] +- **Relevant Slides:** ![Topic 7 - Normal Distribution.pdf](../assets/Topic_7_-_Normal_Distribution_1665655416597_0.pdf) +- +- What is a **Normal Distribution**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:07:27.457Z + card-last-score:: 1 + id:: 63510f7d-d646-41b8-82d7-8634c840892e + - A random variable $X$ with probability distribution function + - $$f(x) = \frac{1}{\sqrt{2\pi\sigma^2}}e^{\frac{(x - \mu)^2}{2 \sigma^2}} -\infty < x < \infty$$ + - is a **normal random variable** with parameters $\mu$ & $\sigma$ (where $\infty < \mu < \infty$ and $\sigma > 0$) where $\mu$ is the mean and $\sigma$ is the standard deviation. + - Write $X \sim N(\mu, \sigma^2)$. + - ![image.png](../assets/image_1665656362242_0.png) +- # Features of the Normal Distribution #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:09:00.438Z + card-last-score:: 1 + - Also called the **Gaussian Distribution**. + - The **pdf** (probability density function) is a **bell-shaped curve**. + - The distribution of many types of observations can be approximated by a Normal Distribution. + - Single mode. + - Symettric. + - Model for continuous measurements. +- # Examples of Normal Distributions + collapsed:: true + - ## Normal Curves with $\mu_i = \mu_2$ and $\sigma_1 < \sigma_2$ + - ![image.png](../assets/image_1665656431162_0.png) + - ## Normal Curves with $\mu_1 < \mu_2$ and $\sigma_1 < \sigma_2$ + - ![image.png](../assets/image_1665656481794_0.png) + - +- # Empirical Rule for a Normal Distribution #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:08:32.008Z + card-last-score:: 1 + - For any normal random variable: + - $$P(\mu - \sigma < X < \mu + \sigma) = 0.6827$$ + - $$P(\mu - 2\sigma < X < \mu + 2\sigma) = 0.9545$$ + - $$P(\mu - 3\sigma < X < \mu + 3\sigma) = 0.9973$$ + - ![image.png](../assets/image_1665656707958_0.png){:height 251, :width 426} + - ## The 68-95-99.7 Rule + - Normal models give us an idea of how extreme a value is by telling us how likely it is to find one that far from the mean. + - In a normal model: + - About 68% of the values within **one standard deviation** from the mean. + - About 95% of the values fall within **two standard deviations** of the mean. + - About 99.7% of the values fall within **three standard deviations** of the mean. + - +- # Areas Under a Normal Curve #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:05:26.550Z + card-last-score:: 1 + - To calculate a probability in a range under a normal distribution. + - $$P(x_1 < X < x_2) = \int_{x_1}^{x_2} \frac{1}{\sqrt{2\pi\sigma^2}}e^{\frac{(x - \mu)^2)}{2\sigma^2}}dx$$ + - For example. $P(x_1 < X < x_2) =$ area of the shaded region. + - ![image.png](../assets/image_1665657089191_0.png){:height 225, :width 444} + - +- # z-scores + - What is a **z-score**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-16T00:00:00.000Z + card-last-reviewed:: 2022-11-15T18:42:43.077Z + card-last-score:: 1 + - A **z-score** reports the number of standard deviations from the mean. + - For example, a z-score of 2 indicates that the observation is two standard deviations above the mean. + - ## Converting to z-scores #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T20:08:12.257Z + card-last-score:: 1 + - To convert a random variable $X$ which follows a $N(\mu, \sigma^2)$ to a random variable $Z$ that follows a standard normal $N(0,1)$, calculate $Z$ as: + - $$Z = \frac{X - \mu}{\sigma}$$ + - Convert $X \sim N(100,100)$ to a random variable $Z$ such that $Z \sim N(0,1)$. + - +- # Cumulative Distribution Functions + collapsed:: true + - How is the **cumulative distribution function** of a standard normal random variable denoted? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:34:54.021Z + card-last-score:: 1 + - The **cumulative distribution function** of a standard normal random variable is denoted as $\Phi(z) = P(Z \leq z)$ + - +- # Normal Approximation to the Poisson + - If $X$ is a Poisson random variable with $E(X) + \lambda$ and $V(X) = \lambda$, + - $$Z = \frac{X-\lambda}{\sqrt{\lambda}}$$ + - The approximation is good for $\lambda \geq 5$. + - +- # Continuity Correction + - Using the Normal Distribution to approximate a discrete distribution (e.g., Binomial) we need to take into account the fact that the Normal Distribution is **continuous**. + - | $\textbf{Discrete}$ | | $\textbf{Continuous}$ | + | $P(X > k)$ | $\rightarrow$ | $P(X > k + \frac 1 2)$ | + | $P(X \geq k)$ | $\rightarrow$ | $P(X > k - \frac 1 2)$ | + | $P(X < k)$ | $\rightarrow$ | $P(X < k - \frac 1 2)$ | + | $P(X \leq k)$ | $\rightarrow$ | $P(X < k + \frac 1 2)$ | + | $P(k_1 < X < k_2$ | $\rightarrow$ | $P(k_1 + \frac 1 2 < X < k_2 - \frac 1 2)$ | + | $P(k_1 \leq X \leq k_2)$ | $\rightarrow$ | $k_1 - \frac 1 2 < X < k_2 + \frac 1 2$ | \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/The Relational Model.md b/second/semester1/logseq-stuff/pages/The Relational Model.md new file mode 100644 index 00000000..ea123097 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/The Relational Model.md @@ -0,0 +1,204 @@ +- #[[CT230 - Database Systems I]] +- **Previous Topic:** [[Database System Introduction]] +- **Next Topic:** [[Introduction to SQL & DDL]] +- **Relevant Slides:** ![Lecture01.pdf](../assets/Lecture01_1663153689773_0.pdf) +- +- Why learn about relational DBMS? + - 90% of industry / enterprise / business applications are still relational DBMS or relational DBMS with extensions (e.g., OO Relational). + - The majority of industry applications require: + - **Correctness** + - **Completeness** + - **Efficiency** (Complex optimisation techniques & complex indexing structures). + - Relational DBMS provide this. +- +- What is the **Relational Data Model**? #card + card-last-interval:: 21.53 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-06T08:01:57.584Z + card-last-reviewed:: 2022-11-14T20:01:57.584Z + card-last-score:: 3 + - The **Relational Data Model** consists of collections of **relations** (often called *tables*) where each relation contains **tuples** (*rows*) and **attributes** (*columns*). + - The relational data model is closely related to the file system model. + - Relations are named. +- What is a **relation**? #card + card-last-interval:: 31.36 + card-repeats:: 4 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-20T16:24:50.257Z + card-last-reviewed:: 2022-10-20T08:24:50.257Z + card-last-score:: 5 + - A table. +- What are **attributes**? #card + card-last-interval:: 100.92 + card-repeats:: 5 + card-ease-factor:: 2.9 + card-next-schedule:: 2023-02-23T18:22:23.155Z + card-last-reviewed:: 2022-11-14T20:22:23.156Z + card-last-score:: 5 + - **Attributes** are columns. + - Columns / attributes are ^^almost always fixed^^ and do not change. +- What are **tuples**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:48:34.835Z + card-last-reviewed:: 2022-11-14T16:48:34.835Z + card-last-score:: 5 + - **Tuples** are rows. + - Rows contain the data. + - There is a variable number of rows. +- What is the **cardinality** of a relation? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.8 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:51:27.460Z + card-last-score:: 1 + - The ^^number of tuples in a relation^^ is referred to as the **cardinality** of that relation. +- +- ## Attributes / Columns + - Each attribute belongs to **one** *domain* and has a single: + - Name + - Data Type + - Format + - ### Naming Columns #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:34:15.662Z + card-last-reviewed:: 2022-10-20T08:34:15.663Z + card-last-score:: 5 + - Case is **not** significant in SQL. + - No spaces allowed. + - No reserved keywords (e.g., date) allowed. + - Choose meaningful variable names. + - If given the names of relations and attributes, use ^^exactly^^ what you are given. + - ### Data Types + - You must ^^specify the **data type**^^ of all attributes (columns) defined. + - Common data types used include: + - **varchar(N)**, where **N** is an integer - used for strings. + - date + - int + - double + - You often must specify the size - especially for integers and strings + - ![image.png](../assets/image_1663057796785_0.png) + - ### NULL + - What are **null-valued attributes**? #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:48:31.350Z + card-last-reviewed:: 2022-11-14T16:48:31.350Z + card-last-score:: 5 + - **Null-valued attributes** are what occurs when the values of some attribute within a particular tuple may be unknown or may not apply to that particular tuple. A **null value** is used for these cases. + - **NULL** is a special marker used in SQL to denote the ^^absence of a value.^^ + - In some cases, we wish to allow the possibility of a `NULL` value although they will often require extra handling (e.g., checking `if == NULL`). + - In other cases, we want to prevent `NULL` from being entered as a value and specify `NOT NULL` as a **constraint** on data entry. + - ### Atomic Attributes + - What is an **atomic attribute**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:31.019Z + card-last-reviewed:: 2022-11-14T16:51:31.019Z + card-last-score:: 5 + - An **atomic attribute** is an attribute which contains a ^^single value of the appropriate type^^, generally meaning, "no repeating values of the same type". + - The relational model should **only** have atomic values. + - ### Composite Attributes + - What is a **composite attribute**? #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:52:00.872Z + card-last-reviewed:: 2022-11-14T16:52:00.872Z + card-last-score:: 5 + - A **composite attribute** is an attribute that is composed of several atomic attributes. + - E.g., `Name = FirstName, Middle Initial, Surname`. + - We often want to decompose a composite attribute into atomic attributes unless there is a very good reason not to. + - ### Multi-Valued Attributes + - What is a **multi-valued attribute**? #card + card-last-interval:: 4.14 + card-repeats:: 2 + card-ease-factor:: 2.56 + card-next-schedule:: 2022-11-26T16:37:36.766Z + card-last-reviewed:: 2022-11-22T13:37:36.767Z + card-last-score:: 5 + - A **multi-valued attribute** is an attribute which has lower and upper bounds on the number of values for an individual entry. + - The ^^opposite of an atomic attribute.^^ + - The relational model should **not** store multi-valued attributes. + - Database design / redesign should be used to deal with this issue by creating more attributes (columns) or more tables. + - ### Derived Attributes + - What are **derived attributes**? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-12T23:52:22.646Z + card-last-reviewed:: 2022-11-14T16:52:22.646Z + card-last-score:: 3 + - A **derived attribute** is an attribute whose value can be determined from another attribute. + - E.g., you can derive age from birthdate. + - It is a good idea to not directly store attribute which can be derived from other attributes. + - +- ## Collection of Relations + - A Relational Data Model consists of a collection of relations (tables). + - Tables are **cross-linked**. +- + - A relational database usually contains many relations (tables) rather than storing all data in one single relation. + - What is a **Relational Schema**? #card + card-last-interval:: 19.3 + card-repeats:: 4 + card-ease-factor:: 2.32 + card-next-schedule:: 2022-12-04T03:03:56.818Z + card-last-reviewed:: 2022-11-14T20:03:56.818Z + card-last-score:: 3 + - A **relational schema**, $R$, is the ^^definition of a **table** in the database.^^ It can be denoted by listing the table name and the attributes: + - $$R=\{A_1,A_2,...,A_n\}$$ + - where $A_i$ is an attribute. + - E.g., with $n=3$, `works_on(essn, pno, hours)`. +- ## Linking Tables + - Two ^^extremely important concepts^^ within the relational model which allows tables to be linked & cross-referenced are: + - **Primary Key** attributes. + - **Foreign Key** attributes. + - + - ### Primary Keys + - Fundamental concept of **Primary Keys**: #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:34:03.291Z + card-last-reviewed:: 2022-10-20T08:34:03.291Z + card-last-score:: 5 + - ^^All tuples (rows) in a relation must be **distinct**.^^ + - To ensure this, we must have one or more attributes / columns whose data values will ^^always be unique for each tuple^^ - these attributes are called **key attributes** and are used to identify a tuple in the relation. + - There may be a few possibilities for the **primary key** - these are called **Candidate Keys**. + - One candidate key is ultimately chosen as the primary key during the Design Stage. + - What is a **Primary Key**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T02:44:46.959Z + card-last-reviewed:: 2022-11-14T16:44:46.960Z + card-last-score:: 5 + - A **primary key** is defined as one or more attributes per table where: + - there can only be one such primary key per table + - the primary key can never contain the `NULL` value + - all values entered for the primary key must be unique (no duplicates across the rows) + - Often, primary keys are used as indices. + - We use the convention (in writing) that attribute which form primary keys are $\text{\underline{underlined}}$. + - + - ### Foreign Keys + - What is a **Foreign Key**? #card + card-last-interval:: 23.43 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-08T02:52:18.585Z + card-last-reviewed:: 2022-11-14T16:52:18.585Z + card-last-score:: 3 + - A **Foreign Key** is an attribute, or a set of attributes, within one table that matches or **links to** a **candidate key** of some other table (possibly the same table). + - More formally: + - Given relations $r_1$ and $r_2$, a **foreign key** of $r_2$ is an attribute (or set of attributes) in $r_2$ where that attribute is a **candidate key** in $r_1$. Relations $r_1$ and $r_2$ may be the same relations. + - #### Foreign Key Terminology + - The **parent**, **master**, or **referenced** table is the relation containing the candidate key(s). + - The **child** or **referencing** table / relation is the relation containing the foreign key. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Trees.md b/second/semester1/logseq-stuff/pages/Trees.md new file mode 100644 index 00000000..4c0bfc73 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Trees.md @@ -0,0 +1,92 @@ +- #[[MA284 - Discrete Mathematics]] +- **Previous Topic:** [[Colouring Graphs; Eulerian & Hamiltonian Graphs]] +- **Next Topic:** [[Matrices]] +- **Relevant Slides:** ![MA284-Week11.pdf](../assets/MA284-Week11_1668603812290_0.pdf) +- +- # Trees + - What is an **acyclic graph** or a **forest**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-19T16:18:08.222Z + card-last-reviewed:: 2022-11-16T21:18:08.222Z + card-last-score:: 5 + - A graph that has no circuits is called **acyclic** or a "forest". + - It is made up of **trees**. + - What is a **tree**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-17T20:21:51.032Z + card-last-reviewed:: 2022-11-16T21:21:51.032Z + card-last-score:: 3 + - A **tree** is a connected, acyclic graph. + - A graph is a tree if and only if there is a **unique path** between any two vertices. + - If a graph has a unique path between pairs of vertices then it has no cycles, but there is a path between each pair, so it is connected. + - A tree is a forest. + - ## If $T$ is a tree, then $e = v - 1$. #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:45:56.481Z + card-last-score:: 1 + - If $T$ is a tree (i.e., a connected acyclic graph) with $v$ vertices, then it has $v-1$ edges. + - The converse of this statement is also true. ((6374e0df-7be4-4928-bf03-c336e517bbf9)) + - It can be difficult to determine if a very large graph is a tree just by inspection. + - If we know that it has no cycles, then we need to verify that it is connected. The following result (the converse of the previous one) can be useful: + - ## If $e = v-1$, then $T$ is a tree. #card + id:: 6374e0df-7be4-4928-bf03-c336e517bbf9 + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:46:20.887Z + card-last-score:: 1 + - If a graph with $v$ vertices has no cycles, and has $e = v-1$ edges, then it is a tree. +- ## Applications + - What is a **Decision Tree**? #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-18T08:46:46.255Z + card-last-reviewed:: 2022-11-17T09:46:46.255Z + card-last-score:: 3 + - A **Decision Tree** is a graph where each node represents a possibility, and each branch/edge from that node is a possible outcome. +- # Spanning Trees + - What is a **Spanning Tree**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-18T00:00:00.000Z + card-last-reviewed:: 2022-11-17T09:47:19.672Z + card-last-score:: 1 + - Given a (simple) graph $G$, a **spanning tree** of $G$ is a subgraph of $G$ that is a tree, and contains every vertex of $G$. + - Lots of spanning trees are possible, and there are numerous ways of finding them. Here are two: + - ## Algorithm 1 + - (i) Identify a cycle in the graph. + (ii) Delete an edge in that cycle, taking care not to disconnect the graph. + (iii) Keep going until all cycles have been removed. + - ## Algorithm 2 + - (i) Start with just the vertices of the graph (no edges). + (ii) Add an edge from the original graph, as long as it does not form a cycle. + (iii) Stop when the graph is connected. + - For many applications, we need to consider a wider class of graphs: **weighted graphs**. + - ## Minimum Spanning Trees + - What is a **minimum spanning tree**? #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-21T13:33:14.273Z + card-last-reviewed:: 2022-11-18T18:33:14.274Z + card-last-score:: 5 + - A **minimum spanning tree** is a spanning tree with the minimum possible total edge weight. + - ### Kruskal's Algorithm + - (i) Start with just the vertices. + (ii) Add the edge with the least weight that does not form a cycle. + (iii) Keep going until the graph is connected. + - ### Prim's Algorithm + - (i) Choose any vertex from the original graph. + (ii) Add the edge incident to any vertex in the connected component with least weight that has the least weight and does not create a cycle. + (iii) Stop when you reach all the vertices of the original graph. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Twilight of the Idols (How to Philosophise with the Hammer).md b/second/semester1/logseq-stuff/pages/Twilight of the Idols (How to Philosophise with the Hammer).md new file mode 100644 index 00000000..a096e026 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Twilight of the Idols (How to Philosophise with the Hammer).md @@ -0,0 +1,13 @@ +title:: Twilight of the Idols (How to Philosophise with the Hammer) + +- #[[Friedrich Nietzsche]] +- +- # Preface + - "To maintain a cheerful attitude of mind in the midst of a gloomy and exceedingly responsible task, is no slight artistic feat. And yet, what could be more necessary than cheerfulness? Nothing ever succeeds which exuberant spirits have not helped to produce. Surplus power, alone, is the proof of power." + - + - "For many years, a maxim, the origin of which I withhold from learned curiosity, has been my motto: + - *increscunt animi, virescit volnere virtus.*" + - *the spirit increases, virtue grows through a wound.* + - +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Unit 11 Kanji.md b/second/semester1/logseq-stuff/pages/Unit 11 Kanji.md new file mode 100644 index 00000000..1813216d --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Unit 11 Kanji.md @@ -0,0 +1,137 @@ +- # 目 #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-19T17:30:41.001Z + card-last-reviewed:: 2022-11-18T18:30:41.002Z + card-last-score:: 3 + - **意味:** eye(s). + - **訓読み:** め。 + - **音読み:** モク。 + - ## 例 + - **目** (め) -> eye(s). + - **科目** (かもく)-> subject. + - **注目** (ちゅうまく) -> attention. +- # 見 #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-21T13:29:26.423Z + card-last-reviewed:: 2022-11-18T18:29:26.424Z + card-last-score:: 5 + - **意味:** see, look. + - **訓読み:** みーる。 + - **音読み:** ケン。 + - ## 例 + - **見る** (みる) -> look, see. + - **花見** (はなみ) -> flower, viewing. + - **意見** (いけん) -> opinion. +- # 耳 #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-21T13:32:31.829Z + card-last-reviewed:: 2022-11-18T18:32:31.830Z + card-last-score:: 5 + - **意味:** ear. + - **訓読み:** みみ。 + - **音読み:** ジ。 + - ## 例 + - **耳** (みみ) -> ear(s). + - +- # 聞 #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-21T13:33:06.561Z + card-last-reviewed:: 2022-11-18T18:33:06.561Z + card-last-score:: 5 + - **意味:** hear. + - **訓読み:** きく。 + - **音読み:** ブン。 + - ## 例 + - **聞く** (きく) -> hear, listen to. + - **新聞** (新聞) -> newspaper. +- # 手 #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-21T13:31:58.332Z + card-last-reviewed:: 2022-11-18T18:31:58.332Z + card-last-score:: 5 + - **意味:** hand. + - **訓読み:** て。 + - **音読み:** シュ。 + - ## 例 + - **手** (て) -> hand(s). + - **上手** (じょず) -> good, skillful. + - **下手** (へた) -> bad, not skillful. + - **歌手** (かしゅ) -> singer. +- # 思 #card + card-last-interval:: 0.98 + card-repeats:: 1 + card-ease-factor:: 2.36 + card-next-schedule:: 2022-11-19T17:32:28.682Z + card-last-reviewed:: 2022-11-18T18:32:28.683Z + card-last-score:: 3 + - **意味:** think. + - **訓読み:** おもーう。 + - **音読み:** シ。 + - ## 例 + - **思う** (おもーう) -> think. + - **思想** (しそう) -> thought (n.). +- # 体 #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-21T13:32:40.412Z + card-last-reviewed:: 2022-11-18T18:32:40.413Z + card-last-score:: 5 + - **意味:** body. + - **訓読み:** からだ。 + - **音読み:** タイ. + - ## 例 + - **体** (からだ) -> body. + - **体育** (たいいく) -> P.E. +- # 元 #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.5 + card-next-schedule:: 2022-11-19T00:00:00.000Z + card-last-reviewed:: 2022-11-18T18:32:54.562Z + card-last-score:: 1 + - **意味:** base, origin. + - **訓読み:** もと。 + - **音読み:** ゲン / ガン。 + - ## 例 + - **元気** (げんき) -> fine. + - **元旦** (がんたん) -> New Year's day. +- # 気 #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-21T13:30:05.511Z + card-last-reviewed:: 2022-11-18T18:30:05.511Z + card-last-score:: 5 + - **意味:** spirit, air, atmosphere. + - **訓読み:** + - **音読み:** キ。 + - ## 例 + - **天気** (てんき) -> weather. + - **気分** (きぶん) -> mood. + - **病気** (びょうき) -> sickness. +- # 足 #card + card-last-interval:: 2.8 + card-repeats:: 1 + card-ease-factor:: 2.6 + card-next-schedule:: 2022-11-21T13:32:13.691Z + card-last-reviewed:: 2022-11-18T18:32:13.693Z + card-last-score:: 5 + - **意味:** leg, pair, be enough. + - **訓読み:** あし、たーりる。 + - **音読み:** ソク。 + - ## 例 + - **足** (あし) -> leg. + - **足りる** (たりる) -> be sufficient. + - **遠足** (えんそく) -> excursion. +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Using R as a Calculator.md b/second/semester1/logseq-stuff/pages/Using R as a Calculator.md new file mode 100644 index 00000000..fa9b19be --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Using R as a Calculator.md @@ -0,0 +1,248 @@ +title:: Using R as a Calculator + +- #[[ST2001 Labs]] +- **Previous Topic:** null +- **Next Topic:** [[Describing Data in R]] +- No relevant slides +- +- ## Basic Algebra in R + - ### Addition #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:44:00.469Z + card-last-reviewed:: 2022-11-14T16:44:00.470Z + card-last-score:: 5 + - ```R + # to add numbers in R, simply use "+" + 2+2 + ``` + - Output: + - ```R + [1] 4 + ``` + - ### Subtraction #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:44:48.506Z + card-last-reviewed:: 2022-11-14T16:44:48.506Z + card-last-score:: 5 + - ```R + # to subtract numbers in R, simply use "-" + 4-2 + ``` + - Output: + - ```R + [1] 2 + ``` + - ### Multiplication #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:46:18.737Z + card-last-reviewed:: 2022-11-14T16:46:18.738Z + card-last-score:: 5 + - ```R + # to multiply numbers in R, simply use "*" + 5*2 + ``` + - Output: + - ```R + [1] 10 + ``` + - ### Division #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-11-22T23:24:36.469Z + card-last-reviewed:: 2022-10-20T08:24:36.470Z + card-last-score:: 5 + - ```R + # to divide numbers in R, simply use "/" + 10/5 + ``` + - Output: + - ```R + [1] 2 + ``` + - ### Exponents #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:39.910Z + card-last-reviewed:: 2022-11-14T16:51:39.911Z + card-last-score:: 5 + - ```R + # use "^" to raise a number to a power + 3^2 + 3^{-1} # use curly braces + ``` + - Output: + - ```R + [1] 9 + [1] 0.3333333 + ``` + - ### Square Roots #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:37:35.704Z + card-last-reviewed:: 2022-11-14T16:37:35.705Z + card-last-score:: 5 + - ```R + # use the function "sqrt()" to get the square root of a number in R + sqrt(16) + ``` + - Output: + - ```R + [1] 4 + ``` + - + - ### Modulus #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:38:53.453Z + card-last-reviewed:: 2022-11-14T16:38:53.454Z + card-last-score:: 5 + - ```R + # use "%%" to get the modulus + 19%%6 + ``` + - Output: + - ```R + [1] 1 + ``` +- ## Rounding in R + - ### Absolute Value #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:44:02.326Z + card-last-reviewed:: 2022-11-14T16:44:02.327Z + card-last-score:: 5 + - ```R + # use "abs()" to get absolute value in R + abs(-1) + ``` + - Output: + - ```R + [1] 1 + ``` + - ### Rounding #card + card-last-interval:: 29.26 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T22:41:14.492Z + card-last-reviewed:: 2022-11-14T16:41:14.492Z + card-last-score:: 5 + - The function `round()` in R goes not necessarily do what you would expect when rounding numbers ending in **.5** - ^^it rounds to the nearest **even** number.^^ + - If you always round up numbers ending in .5, then you are causing an upwards bias. + - The rounding to even numbers will tend to average out at a zero bias, as 50% go up and 50% go down. + - ```R + # use "round()" to round + round(1.5) + round(0.5) + round(0.7) + ``` + - Output: + - ```R + [1] 2 + [1] 0 + [1] 1 + ``` +- ## $\pi$ in R #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:38:10.483Z + card-last-reviewed:: 2022-11-14T16:38:10.484Z + card-last-score:: 5 + - ```R + # to get pi in R, simply use the in-built constant "pi" + pi + ``` + - Output: + - ```R + [1] 3.141593 + ``` +- ## Trigonometric Functions in R + - ### Sine in R #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-15T02:31:07.981Z + card-last-reviewed:: 2022-11-11T11:31:07.981Z + card-last-score:: 5 + - ```R + # to get the sine of a number in R, use the function "sin()" + sin(0.5 * pi) + sin(pi) + ``` + - Output: + - ```R + [1] 1 + [1] 1.224647e-16 + ``` + - ^^**Note:**^^ $1.224606e-16 \approx 0$. Due to the way computers store numbers, decimals are often slightly off, so $sine(\pi) \ne 0$ even though it should, of course, be equal to zero. Be careful of this! + - ### Cosine in R #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:45:11.108Z + card-last-reviewed:: 2022-11-14T16:45:11.109Z + card-last-score:: 5 + - ```R + # use "cos()" to get cosine + cos(0) + ``` + - Output: + - ```R + [1] 1 + ``` + - ### Tangent in R #card + card-last-interval:: 33.64 + card-repeats:: 4 + card-ease-factor:: 2.9 + card-next-schedule:: 2022-12-18T07:51:39.012Z + card-last-reviewed:: 2022-11-14T16:51:39.012Z + card-last-score:: 5 + - ```R + # use "tan()" to get tangent + tan(0) + ``` + - Output: + - ```R + [1] 0 + ``` +- ## Logarithms in R + - ### Natural Log #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-07T19:44:02.657Z + card-last-reviewed:: 2022-11-09T12:44:02.657Z + card-last-score:: 3 + - ```R + log(1) + ``` + - Output: + - ```R` + [1] 0 + ``` + - ### Logs to a Given Base #card + card-last-interval:: 4 + card-repeats:: 2 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-22T18:34:16.626Z + card-last-reviewed:: 2022-11-18T18:34:16.626Z + card-last-score:: 5 + - ```R + # log() + log10(100) + ``` + - Output: + - ```R + [1] 2 + ``` \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/Variables & Types.md b/second/semester1/logseq-stuff/pages/Variables & Types.md new file mode 100644 index 00000000..8a3ac24c --- /dev/null +++ b/second/semester1/logseq-stuff/pages/Variables & Types.md @@ -0,0 +1,102 @@ +- #[[CT2106 - Object-Oriented Programming]] +- **Previous Topic:** [[More Java Code]] +- **Next Topic:** [[OOP Modelling]] +- **Relevant Slides:** ![Lecture 5__2022.pdf](../assets/Lecture_5_2022_1663833716061_0.pdf) +- +- +- A **variable** is a symbol used to store a value. +- What is a **strongly typed** language? #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-12-13T03:06:20.887Z + card-last-reviewed:: 2022-11-14T20:06:20.887Z + card-last-score:: 5 + - In a **strongly typed** language, you have to tell the compiler / interpreter what **type** the variable is. + - The compiler / interpreter knows how much space to allocate a variable of a certain type in memory. +- +- # Java Primitive Variables + - ![image.png](../assets/image_1663834185000_0.png) + - ## Default Values + - Each primitive variable has a **default value**. + - The default value is used ^^only when the variable is used as a **field** (instance variable).^^ + - If the field is not explicitly assigned a value, the default value is used. + - For example, the default value for an `int` variable is `0`. + - + - The "Code Pad" in BlueJ automatically initialises variables as if they were instance variables. + - This will not happen in a true Java program, but it is useful for learning the default values. +- +- # Reference / Object Types + - What is a **reference type**? #card + card-last-interval:: -1 + card-repeats:: 1 + card-ease-factor:: 2.46 + card-next-schedule:: 2022-11-15T00:00:00.000Z + card-last-reviewed:: 2022-11-14T16:46:32.338Z + card-last-score:: 1 + - A **reference type** is a data type that's based on a class rather than on one of the primitive types that are built into the Java language. + - There are 4 categories of reference type: + - Object Types + - Interface Types + - Enum Types + - Array Types + - ## Null Default Value + - The default value of all reference variables is `null`. + - `null` is a special value in Java meaning "no object". + - When you first declare a reference variable, its value is `null`. + - + - ### `NullPointerException` + - One of the most common errors generated when running a Java program is `NullPointerException`. + - This error is thrown when your program encounters a reference variable that has not been initialised. + - This means that the variable points to its default value = `null`. + - Your program then tries to get the object that the variable is pointing to do something, but the object doesn't exist, causing Java to generate a `NullPointerException`. + - + - ### Memory Leak + - ```java + Bicycle bike1; // bike1 points to null + Bicycle bike2; // bike2 points to null + + // bike1 & bile2 are assigned to point to the Bicycle objects just initialised + bike1 = new Bicycle(); + bike2 = new Bicycle(); + + // bike1 & bike2 now both point to null again. + bike1 = null; + bike2 = null; + ``` + - What happens to the bicycle objects that were created but can no longer be referenced? + - This is what's called a **memory leak**. + - In this case, you have 2 objects occupying from memory, and you have not deallocated them from memory. + - In fact, there is no way to deallocate them. + - + - #### Garbage Collector + - The **Garbage Collector** is part of the JRE's memory management process. + - It runs in the background keeping track of the live objects in a program, and marking the rest as garbage. + - The data in these marked areas are subsequently deleted, freeing up memory. + - + - ## Object Reference Type + - What is an **Object Reference Type**? #card + card-last-interval:: 24.2 + card-repeats:: 4 + card-ease-factor:: 2.42 + card-next-schedule:: 2022-12-11T13:48:30.477Z + card-last-reviewed:: 2022-11-17T09:48:30.477Z + card-last-score:: 3 + - An **Object Reference Type** is a variable that ^^points to an object.^^ + - It is a **pointer**. + - A primitive variable contains the value of that primitive type. + - A variable can never contain an object, but it *can* contain a **pointer** to that object. + - A reference variable ^^contains the value of the memory location of an object.^^ + - For example: + - ```java + Wheel wheel = new Wheel(); + ``` + - The `wheel` variable contains the value of the memory location of the new Wheel object. + - A reference variable does **not** contain the value of the object. + - +- # Test-Driven Development + - **TTD** is an *incremental approach* to solving a problem. + - Incrementally create Stub classes & Stub methods so that your code compiles & runs at all times. + - To start with, it may run - but it might not do anything interesting. + - Gradually, we add functionality - making sure that it compiles & runs. + - We keep doing this until we achieve our minimum criteria for success. \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/contents.md b/second/semester1/logseq-stuff/pages/contents.md new file mode 100644 index 00000000..3cf20d57 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/contents.md @@ -0,0 +1 @@ +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/hls__MA284-Week08_1666785726176_0.md b/second/semester1/logseq-stuff/pages/hls__MA284-Week08_1666785726176_0.md new file mode 100644 index 00000000..da164d7e --- /dev/null +++ b/second/semester1/logseq-stuff/pages/hls__MA284-Week08_1666785726176_0.md @@ -0,0 +1,2 @@ +file:: [MA284-Week08_1666785726176_0.pdf](../assets/MA284-Week08_1666785726176_0.pdf) +file-path:: ../assets/MA284-Week08_1666785726176_0.pdf diff --git a/second/semester1/logseq-stuff/pages/日本語.md b/second/semester1/logseq-stuff/pages/日本語.md new file mode 100644 index 00000000..50c2753e --- /dev/null +++ b/second/semester1/logseq-stuff/pages/日本語.md @@ -0,0 +1,2 @@ +- +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/日本語かんたん.md b/second/semester1/logseq-stuff/pages/日本語かんたん.md new file mode 100644 index 00000000..ef46970b --- /dev/null +++ b/second/semester1/logseq-stuff/pages/日本語かんたん.md @@ -0,0 +1,2 @@ +- #日本語 +- \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/日本語チャレンジ.md b/second/semester1/logseq-stuff/pages/日本語チャレンジ.md new file mode 100644 index 00000000..1abd0860 --- /dev/null +++ b/second/semester1/logseq-stuff/pages/日本語チャレンジ.md @@ -0,0 +1,12 @@ +- #日本語 +- # Introduction to Kanji + - ## Categories + - Kanji can be classified into 4 main categories: + - **Pictographic characters:** originated from pictures of objects (e.g., 山, 川, 馬, 雨). + - **Indicative kanji:** made of points & lines to indicate abstract ideas (e.g., 一, 三, 上, 下). + - **Compound kanji:** composed by combining *pictographic kanji* & other types of kanji. + - **Phonetic - ideographic kanji:** formed by combining *phonetic* & *ideographic* elements. + - ## On-readings & Kun-readings + - **On-readings** are based upon the Chinese pronunciation of the kanji when they were first introduced to Japan. + - **Kun-readings** are based on the pronunciation of the Japanese word whose meaning was close to that of the kanji character. + - \ No newline at end of file diff --git a/second/semester1/logseq-stuff/pages/絵からできた漢字１.md b/second/semester1/logseq-stuff/pages/絵からできた漢字１.md new file mode 100644 index 00000000..6b39939d --- /dev/null +++ b/second/semester1/logseq-stuff/pages/絵からできた漢字１.md @@ -0,0 +1,13 @@ +- #日本語チャレンジ +- **Lesson 1: Pictographs 1** +- +- ## 山 #card + card-last-interval:: 28.3 + card-repeats:: 4 + card-ease-factor:: 2.66 + card-next-schedule:: 2022-11-17T15:36:31.947Z + card-last-reviewed:: 2022-10-20T08:36:31.948Z + card-last-score:: 5 + - **Meaning:** 山 -> やま-> mountain. + - **Readings:** やま、サン。 + - \ No newline at end of file diff --git a/second/semester2/CT2108/Labs/Lab-01/CT2108 Lab - Utilities Solutions.pdf b/second/semester2/CT2108/Labs/Lab-01/CT2108 Lab - Utilities Solutions.pdf new file mode 100644 index 00000000..eddb1ed9 Binary files /dev/null and b/second/semester2/CT2108/Labs/Lab-01/CT2108 Lab - Utilities Solutions.pdf differ diff --git a/second/semester2/CT2108/Labs/Lab-01/CT2108 Lab - Utilities.pdf b/second/semester2/CT2108/Labs/Lab-01/CT2108 Lab - Utilities.pdf new file mode 100644 index 00000000..8ebb1e3c Binary files /dev/null and b/second/semester2/CT2108/Labs/Lab-01/CT2108 Lab - Utilities.pdf differ diff --git a/second/semester2/CT2108/Labs/Lab-01/Lab1.md b/second/semester2/CT2108/Labs/Lab-01/Lab1.md new file mode 100644 index 00000000..ef689dca --- /dev/null +++ b/second/semester2/CT2108/Labs/Lab-01/Lab1.md @@ -0,0 +1,17 @@ +#1 hex vals of source & destination MA addresses in ethernet frame containing arp request messages +Sender MAC address: IntelCor_4b:81:47 (20:1e:88:4b:81:47) +Sender MAC address: IntelCor_4b:81:47 (20:1e:88:4b:81:47) + +# 2hex val two byte ether frane type in arp request messages +packet type: sent by us (4) +Port numbers are the way the TRANSPORT layer recognizes which packet belongs to what process at the end systems. +They're used to let the process-to-process delivery work; but ICMP, from a functional point of view, is not a transport layer protocol. + +ICMP is a messaging protocol at the Network layer(on top of the IP; but not really in the transport layer), it's got a lot of responsibilities but none of them has anything to do with process-to-process delivery, so having a port number there wouldn't make any sense. + +# 3ip addr of host and ip addr of dest host for ping. why icmp not have source n destination +Source Address: 140.203.135.95 +Destination Address: 104.18.143.17 + +#4 icmp type n code nums of ping reqs sent by host. what other fields does this icmp pack have. no bytes checkusum seq num identify fields + diff --git a/second/semester2/CT2108/Labs/Lab-01/instructions.md b/second/semester2/CT2108/Labs/Lab-01/instructions.md new file mode 100644 index 00000000..7d9a25c0 --- /dev/null +++ b/second/semester2/CT2108/Labs/Lab-01/instructions.md @@ -0,0 +1,6 @@ +- To get network interface information use: `ip address`. +- To view the ARP cache: `ip neigh`. +- To delete the ARP cache: `ip -s neigh flush all`. +- To run a ping with a large payload and not allow IP fragmentation: `ping -M do -s 1600 www.rte.ie`. +- To display the routing table on your device: `ip route`. +- To run a traceroute without DNS name lookoup: `traceroute -n www.rte.ie`. diff --git a/second/semester2/CT2108/Labs/Lab-02/CT2108 Lab - IP Header and Fragmentation.pdf b/second/semester2/CT2108/Labs/Lab-02/CT2108 Lab - IP Header and Fragmentation.pdf new file mode 100644 index 00000000..1292ea6d Binary files /dev/null and b/second/semester2/CT2108/Labs/Lab-02/CT2108 Lab - IP Header and Fragmentation.pdf differ diff --git a/second/semester2/CT2108/Labs/Lab-02/instructions.txt b/second/semester2/CT2108/Labs/Lab-02/instructions.txt new file mode 100644 index 00000000..ce2a7e22 --- /dev/null +++ b/second/semester2/CT2108/Labs/Lab-02/instructions.txt @@ -0,0 +1,13 @@ +The attached instructions are for Windows PCs only, some of the command line options are different for +Linux / MAC computers. + +If you have a Mac or Linux computer use the following command instead to run a ping with a large payload: +ping -s 3500 www.rte.ie + +Due to firewall restrictions inside the University network, pings to www.rte.ie may fail. +If this happens run the pings instead to the ip address of your local router. +You can find out the ip address of your local router by doing a trace route to ww.rte.ie - your local +router is the first hop shown in the result. +The previous lab work has details on how to run a trace route on different platforms. +On the eduroam wifi network in the lab the ip address of the local router will be something like +140.203.224.3 diff --git a/second/semester2/CT2108/Labs/Lab-03/CT2108 Lab - IP Header and Fragmentation.pdf b/second/semester2/CT2108/Labs/Lab-03/CT2108 Lab - IP Header and Fragmentation.pdf new file mode 100644 index 00000000..1292ea6d Binary files /dev/null and b/second/semester2/CT2108/Labs/Lab-03/CT2108 Lab - IP Header and Fragmentation.pdf differ diff --git a/second/semester2/CT2108/Labs/Lab-03/instructions.txt b/second/semester2/CT2108/Labs/Lab-03/instructions.txt new file mode 100644 index 00000000..6709f23c --- /dev/null +++ b/second/semester2/CT2108/Labs/Lab-03/instructions.txt @@ -0,0 +1,7 @@ +The attached instructions are for Windows PCs only, some of the command line options are different for Linux / MAC computers. +If you have a Mac or Linux computer use the following command instead to run a ping with a large payload: ping -s 3500 www.rte.ie +Due to firewall restrictions inside the University network, pings to www.rte.ie may fail. +If this happens run the pings instead to the ip address of your local router. +You can find out the ip address of your local router by doing a trace route to ww.rte.ie - your local router is the first hop shown in the result. +The previous lab work has details on how to run a trace route on different platforms. +On the eduroam wifi network in the lab the ip address of the local router will be something like 140.203.224.3 \ No newline at end of file diff --git a/second/semester2/CT2108/Labs/Lab-04/Additional IPv4 Subnet Calculations.pdf b/second/semester2/CT2108/Labs/Lab-04/Additional IPv4 Subnet Calculations.pdf new file mode 100644 index 00000000..be4b1303 Binary files /dev/null and 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--- /dev/null +++ b/second/semester2/CT2108/Notes/CT2108-Notes.tex @@ -0,0 +1,2647 @@ +\documentclass[11pt]{article} + +\usepackage{report} +% \usepackage{sourcecodepro} +\usepackage[utf8]{inputenc} % allow utf-8 input +\usepackage[T1]{fontenc} % use 8-bit T1 fonts +\usepackage[colorlinks=true, linkcolor=black, citecolor=blue, urlcolor=blue]{hyperref} % hyperlinks +\usepackage{url} % simple URL typesetting +\usepackage{booktabs} % professional-quality tables +\usepackage{amsfonts} % blackboard math symbols +\usepackage{amsmath} +\usepackage{nicefrac} % compact symbols for 1/2, etc. +\usepackage{microtype} % microtypography +\usepackage{lipsum} % Can be removed after putting your text content +\usepackage{graphicx} +\graphicspath{ {./images/} } +\usepackage{natbib} +\usepackage{doi} +\setcitestyle{aysep={,}} +\usepackage{array} +\usepackage{listings} + +\title{CT2108 - Networks \& Data Communications I} + +\author{Andrew Hayes\\ +\AND +Student ID: 21321503\\ +\AND +\AND +\AND +\AND + 2BCT\\ +\AND + University of Galway\\ +} + +% Uncomment to remove the date +% \date{February 2022} + +% Uncomment to override the `A preprint' in the header +\renewcommand{\headeright}{Networks \& Data Communications I} +\renewcommand{\undertitle}{Networks \& Data Communications I} +\renewcommand{\shorttitle}{} + +%%% Add PDF metadata to help others organize their library +%%% Once the PDF is generated, you can check the metadata with +%%% $ pdfinfo template.pdf +% \hypersetup{ +% pdftitle={A template for the arxiv style}, +% pdfsubject={q-bio.NC, q-bio.QM}, +% pdfauthor={David S.~Hippocampus, Elias D.~Striatum}, +% pdfkeywords={First keyword, Second keyword, More}, +% } +\raggedbottom + +\begin{document} +\maketitle + +\newpage +\tableofcontents +\thispagestyle{empty} + + +\newpage +\setcounter{page}{1} +\section{Introduction} +\subsection{Computer Networks} +A \textbf{Computer Network} is a collection of autonomous devices interconnected by some type of network technology. +Networks come in many shapes \& sizes. +The Internet is a network of networks - The World Wide Web is not a physical network; It is a distributed \textbf{Client-Server} +application that runs over the Internet. + +Two computers are said to be \textbf{interconnected} if they are able to exchange information. +This connection can be copper wire, optical fiber, wireless, etc. + +\subsubsection{Client-Server Model} +The \textbf{Client-Server} model is employed in most network applications. +The \textbf{Server} is a powerful machine that can have multiple concurrent \textbf{Clients} accessing its resources at the +same time. +Clients are usually simpler devices that run apps to interpret or display information provided by the server. + +\begin{center} +\includegraphics[width=0.5\textwidth]{client-server-example.png} +\end{center} + +The client-server model involves requests \& replies. +It employs at least two process: one running on the server and one running on the client. + +\begin{center} + \includegraphics[width=0.7\textwidth]{client-server-diagram.png} +\end{center} + +\subsubsection{Home Network Applications} +Home Network applications provide a variety of uses including: +\begin{itemize} + \item Access to remote information such as newspapers, publications, etc. + \item Person-to-person communication such as instant messaging, email, peer-to-peer communication, interactive entertainment, and video on demand. + \item Electronic commerce. +\end{itemize} + +In \textbf{peer-to-peer} systems, there are no fixed clients \& servers. +Newer P2P systems don't have a centralised database. +Lookup of the content comes from a local db-s maintained by each of the members. +Besides content, each user maintains a list of other users as well. + +\subsubsection{Network Types} +Network types include: +\begin{itemize} + \item Local Area Networks (LAN). + \item Metropolitan Area Networks. + \item Wide Area Networks. + \item Wireless Networks. + \item Home Networks. + \item The Internet. +\end{itemize} + +Classification of interconnected processors by scale: +\begin{center} + \includegraphics[width=0.7\textwidth]{interconnected-processors-by-scale.png} +\end{center} + +\newpage +\subsubsection{Local Area Networks} +\textbf{Local Area Networks} are privately owned networks within a single building or campus, up to a few kilometres in size. +LANs are restricted in size, so the worst case transmission time is bounded \& known in advance. + +LANs often use the same cable, to which all the machine in the network are attached. +Speeds generally range from about 100Mb/s to about 10Gb/s. + + +Various \textbf{topologies} are possible for broadcast LANs. +\textbf{Bus}, \textbf{Star} (the most important of which is \textbf{Ethernet}, \& \textbf{Ring} topologies are the most common. + +\textbf{Ethernet} is a bus-based network, with a bus and/or start topology, and is a broadcast decentralised network. +Ethernet usually operates at about 100Mb/s to 10Gb/s. +Computers in an Ethernet network can transmit whenever they want. +If two packets collide, each computer just waits a random amount of time and tries again later. + +\begin{center} + \includegraphics[width=0.7\textwidth]{lan-diagram.png} +\end{center} + +\newpage +\subsubsection{Metropolitan Area Networks} +A \textbf{Metropolitan Area Network (MAN)} covers a city. +One of the most commonly known examples of a MAN is the cable Television Network available in many cities. +Until the late 1990s these were intended for television only, but cable providers soon realised that they could offer two-way +Internet in the unused parts of the spectrum. +This transformed the TV network in a metropolitan area network. + + +\begin{center} + \includegraphics[width=0.7\textwidth]{man-diagram.png} +\end{center} + +\subsubsection{Wide Area Networks} +A \textbf{Wide Area Network (WAN)} spans over a large area, often a country or a continent. +It contains a number of machines called \textbf{hosts} that are connected by a communication \textbf{subnet}. +The hosts are usually owned by individuals, while the subnet is owned by the telecom or Internet providers. + +The job of the subnet is to carry messages from host to host. +Separation of the pure communication aspects of the network (the subnet) from the application aspects (hosts) simplifies the +complete network design. + +\textbf{Transmission Lines} move bits between machines. +They can be copper, optical fiber, radio, etc. + +\textbf{Switching Components} are specialised computers that connect three or more transmission lines. +When data comes on one of the lines, the switching element must choose an ongoing line to forward the data. +\textbf{Router} is the technical name for these switching elements. + +\begin{center} + \includegraphics[width=0.7\textwidth]{wan-diagram.png} +\end{center} + +A \textbf{store-and-forward} or \textbf{packet switched} subnet is one where the packets are received entirely at intermediate +routers, stored until some outgoing transmission line is free, and then forwarded to the next router. +When packets are small \& all the same size, they are called \textbf{cells}. + +When a process on a host wants to send a message to another host in the network, the sending host cuts the message into packets, +each one carrying some sort of sequence number. +Those packets are then injected into the network one at a time, in quick succession. +The packets are delivered over the network to the receiving host, where they are re-assembled \& delivered to the receiving process. + +In this figure, all the packets from sender to receiver follow the same route: $ A \rightarrow C \rightarrow E $. +In some subnets, the packets \textit{must} always follow the same path. +In other subnets, the packets can follow different paths (they are routed separately). +When the packet is getting to router $A$, the decision to follow path $C$ or path $B$ is made locally. +This decision is made by and the way in which this decision is made is called the \textbf{routing algorithm}. + +\begin{center} + \includegraphics[width=0.7\textwidth]{wan-diagram-2.png} +\end{center} + +\subsubsection{Wireless Networks} +\textbf{Bluetooth} is an example of a system interconnection network, and it refers to interconnecting computer components +(monitor, mouse, keyboard, etc.). +It is a master-slave topology. +The master tells the slaves which addresses to use, when they can broadcast, how long they can transmit, what frequencies they +can use, and other information. + +\textbf{Wireless LANs} are networks in which each computer has a radio modem \& antenna with which it can communicate with other +systems. +IEEE 802.11 is a basic standard for wireless LAN. +A number of newer, derivative standards are now in place. + +Cellular phone networks such as 3G/4G/5G are examples of \textbf{Wireless WANs} + +\begin{center} + \includegraphics[width=0.7\textwidth]{wlan.png} +\end{center} + +\subsection{Network Software} +\subsubsection{Protocol Hierarchies} +To reduce complexity of design, each network is organised as a layer, each one building upon the one below it. +The number of layers, the name of each layer, and the contents \& the function of each layer differ from network to network. + +The purpose of each layer is to create services for the layer above, hiding the details of how of those services are actually +implemented to the those layers. +The fundamental idea is that a particular piece of software (or even hardware) provides a service to its users but keeps the +details of its internal state \& algorithms hidden from them. +Layer $n$ on a machine carries a conversation with layer $n$ on another machine. +The rules \& conventions used in this conversation are known as Layer $n$ protocol. + +In essence, a \textbf{protocol} is an agreement between the communicating protocols on how communications are to proceed. +The entities that implement the protocol at different layers levels are called \textbf{peers}. +It is peers who communicate using a protocol. + +In reality, no data is directly transferred from layer $n$ on one machine to layer $n$ on the other machine. +In effect, each layer passes data \& control information to the layer below it, until the lowest layer is reached. +Below Layer 1 id the \textbf{physical medium}, through which the communication occurs. +Between each pair of adjacent layers is an interface. +The interface defines which primitive operations \& services the lower layer make available to the upper one. +The most difficult design issue is to define clean interfaces between layers. + +A set of layers \& protocols is called a \textbf{Network Architecture}. +A Network Architecture has to contain enough information to allow hardware \& software engineers to design hardware \& software +that would obey the correct protocol. +A list of protocols used by a certain system, with one protocol per layer, is called a \textbf{Protocol Stack}. + +\begin{center} + \includegraphics[width=0.7\textwidth]{protocolhierarchies.png} +\end{center} + +\newpage +\subsubsection{Protocol Hierarchies Example} +The diagram below shows information flow supporting virtual communication in Layer 5. + +\begin{center} + \includegraphics[width=0.7\textwidth]{protocol-hierarchies-example.png} +\end{center} + +A message is produced by an application process running at Layer 5. +Message $M$ is then given to Layer 4 for transmission. +Layer 4 puts a header in the front of the message to identify the message and passes the result to Layer 3. +The header includes control information such as sequence numbers to allow Layer 4 in the destination to determine to deliver +messages in the right order, if the lower layers do not maintain sequence. +In some layers, headers can also contain sizes, times, \& other control fields. + +At Layer 3, there is a limit on the packet size that can be transmitted. +Therefore, Layer 3 will break the incoming message into smaller parts called packets, adding header $H3$ corresponding to Layer 3 on each +packet. +In this example, message $M$ is split into $M1$ \& $M2$. + +Layer 3 decides which outgoing lines to use and passes the message to Layer 2. +Layer 2 adds not only a header to each piece, but also a trailer, and gives the resulting units to Layer 1 for physical +transmission. + +At the receiving machine, the message moves upwards, from layer to layer, with headers being stripped off as it progresses. + +\subsubsection{Design Issues for the Layers} +\begin{itemize} + \item \textbf{Addressing -} The consequence of having multiple destinations. + \item \textbf{Error Control -} The receiver should be able to inform the sender which data was received correctly. + \item \textbf{Flow Control -} Keep the sender from swamping a slow receiver with data and keep the sender from swamping + slow networks with data. + \item \textbf{Multiplexing -} Use the same communications channel for multiple, unrelated conversations. + \item \textbf{Routing -} When there are multiple paths between source \& destination, one path must be chosen. +\end{itemize} + +\subsubsection{Connection-Oriented \& Connectionless Services} +Layers can offer two types of services to the layers above them: connection-oriented services \& connectionless services. + +\textbf{Connection-Oriented Services} are modelled after the phone systems. +The service users establish connections, use the connections, \& then releases the connection. +The main idea is that the connection acts as a "pipe" - At one end the data is pushed, and at the other end, data is received. +In most cases, the order is preserved. +Sometimes, during the connection establishment phase, a \textbf{negotiation} is employed for establishing some parameters of +the connection. + +Examples of connection-oriented services include: +\begin{itemize} + \item Reliable message stream (sequence of pages) + \item Reliable byte stream (remote login, file transfer, etc.) + \item Unreliable connection (digitised voice or video). +\end{itemize} + +\textbf{Connectionless Services} are modelled after the postal system. +Each message carries the full destination address, each one being routed through the system independent of others. +It is possible that the messages will arrive at the destination out of order. + +Examples of connectionless services include: +\begin{itemize} + \item Datagram service (in analogy with telegram service). + \item Acknowledges datagram service. + \item Request-reply service. +\end{itemize} + +Each service is characterised by the \textbf{quality of service}. +Some services are reliable in the sense that they never lose data. +Usually, reliability is implemented with acknowledgements from the receiver that it received data. +This introduces overhead \& delays in the communications, which in some cases is fine, but in other is not (e.g. real-time voice \& video communication). + +\subsubsection{Services to Protocols Relationship} +A \textbf{service} is a set of primitives (operations) that a layer provides to the layer above it. +A service relates to the interface between layers. + +A \textbf{Protocol} is a set of rules governing the format \& meaning of packets exchanged by peer entities within a layer. +Protocols relate to the packets that are sent between peer entitites between different machienes. + +\begin{center} + \includegraphics[width=0.7\textwidth]{services-to-protocols-relationship.png} +\end{center} + +\newpage +\section{Reference Models} +\subsection{The OSI Reference Model} +The \textbf{Open Systems Interconnect (OSI)} model is a network architecture based on a proposal developed by ISO to standardise +the protocols used in various layers. + +\begin{center} + \includegraphics[width=0.7\textwidth]{osimodel.png} +\end{center} + +It consists of a seven layer design. The design principles that led to this seven-layer design as follows: +\begin{enumerate} + \item A layer should be created where a \textbf{different abstraction is needed}. + \item Each layer should perform a \textbf{well-defined function}. + \item The function of each layer should be chosen with an eye toward defining \textbf{internationally standardised protocols}. + \item The layer boundaries should be chosen to \textbf{minimise the information flow across the interfaces}. + \item The number of layers should be large enough to avoid throwing together separate, \textbf{distinct functions} out of + necessity \& small enough to avoid inefficiency. +\end{enumerate} + +\subsubsection{OSI Layer 1 - The Physical Layer} +The \textbf{Physical Layer} deals with transmitting raw bits over the communication channel. +It addresses typical questions such as: +\begin{itemize} + \item ``How many volts are used to represent a `1' and how many for a `0'?'' + \item ``How many nanoseconds does a bit last?'' + \item ``Is there full duplex transmission or not? (Both directions).'' + \item ``How is the initial connection established and how is it torn down when both sides are finished?'' + \item ``How many pins will the network connect have and what is each pin used for?'' +\end{itemize} + +It deals with design issues such as mechanical, electrical, \& timing interfaces and the physical transmission medium. +Sending one bit ``1'' on one side must be received on the other side as ``1'' not as ``0''. + +\subsubsection{OSI Layer 2 - The Data Link Layer} +The purpose of the \textbf{Data Link Layer} is to transform the raw transmission facility (offered by the Physical Layer) into +a line that appears free of undetected transmission errors to the Network Layer. + +It addresses several design issues: +\begin{itemize} + \item \textbf{Error Detection \& Correction:} The sender breaks up the input data into \textbf{data frames} (typically a + few hundred or thousand bytes) and transmits the frames sequentially. + If the service is reliable, the receiver has to confirm the correct receipt of each frame. + \item \textbf{Flow Control:} The flow of data must be controlled to prevent a fast transmitter from drowning a slow + receiver in data. + Some traffic regulation mechanism is often needed to let the transmitter know how much buffer space the receiver + has at the moment. + Usually, this is integrated with the error handling mechanism. + \item Broadcast networks have an additional issue in the Data Link Layer: how to control \textbf{access to the shared channel}. + A special sub-layer of the data-link layer, the medium access control sub-layer deals with this problem. +\end{itemize} + +\subsubsection{OSI Layer 3 - The Network Layer} +The \textbf{Network Layer} controls the operation of the subnet. + +It addresses several design issues: +\begin{itemize} + \item \textbf{Routing -} How packets are routed from source to destination. + \item \textbf{Congestion Control -} If too many packets are present in the subnet at the same time. + \item Allow heterogeneous networks to be interconnected. + \item In broadcast networks, the routing problem is thin or non-existent. +\end{itemize} + +\subsubsection{OSI Layer 4 - The Transport Layer} +The \textbf{Transport Layer} accepts data from the above layer (the Session Layer), splits it into smaller units, \& passes +them to the Network Layer. +It ensures that these pieces arrive correctly at the other end. +It also determines what type of service to provide: +\begin{itemize} + \item The most popular type of transport connection is an error-free, point-to-point channel which delivers messages or + bytes in the order in which they were sent. + \item Other types of transport services include delivering datagrams with no guarantee about the order of delivery \& + broadcasting messages. +\end{itemize} + +The Transport Layer is a true end-to-end layer, all the way from source to destination. + +The Transport Layer has to perform its function in a way that isolates the upper layers from the inevitable changes in the +hardware technology. + +Layers 1 to 3 are \textit{chained}, while layers 4 to 7 are \textit{end-to-end} layers. + +\subsubsection{OSI Layer 5 - The Session Layer} +The \textbf{Session Layer} allows users on different machines to establish sessions between them. +Sessions offer a variety of services, including: +\begin{itemize} + \item \textbf{Dialog Control -} Keeping track of whose turn it is to transmit. + \item \textbf{Token Management -} Preventing two parties from attempting the same critical operation at the same time. + \item \textbf{Synchronisation -} Marking long transmissions to make sure they can be resumed from where they were when a + crash occurred. +\end{itemize} + +\subsubsection{OSI Layer 6 - The Presentation Layer} +The \textbf{Presentation Layer} is not concerned with moving bits around, but with checking the syntax \& semantics of the data +that is being moved by the layers below. +In order to make it possible for computers with different data representations to communicate, the data structures to be +exchanged can be defined in an abstract way, along with a standard encoding to be used on the wire. +The Presentation Layer manages these abstract data structures and allows higher-level data structures to be defined \& exchanged. + +\subsubsection{OSI Layer 7 - The Application Layer} +The \textbf{Application Layer} contains a number of different protocols \& applications that are needed by the users. +A good example of a widely used application protocol is HTTP, which is the basis for the World Wide Web distributed system. +When a browser wants a page, it sends the name of the page to a web server using a HTTP protocol. + +\subsection{The TCP/IP Reference Model} +The \textbf{Transmission Control Protocol / Internet Protocol (TCP/IP)} is the network architecture that is used by the Internet, +which is essentially a packet switching network of networks based on a connectionless internetwork layer. +It consists of 4 layers, excluding the Presentation \& Session layers in the OSI Model. + +\begin{center} + \includegraphics[width=0.7\textwidth]{tcpipmodel.png} +\end{center} + +\subsubsection{Layer 1 - The Host-to-Network Layer} +The \textbf{Host-to-Network Layer} is below the Internet Layer. +The TCP/IP Reference Model doesn't say much about the Host-to-Network Layer, other than the host has to connect to the network +using some protocol, so that it can send IP packets to it. +This protocol is not defined \& varies from host to host and from network to network. + +\subsubsection{Layer 2 - The Internet Layer} +The \textbf{Internet Layer} permits the hosts to inject packets into any network and have them travel independently to the +destination (potentially using different paths or networks). +The packets may arrive in a different order. +It is the job of the higher layer to rearrange them. + +The Internet Layer defines an official packet format \& protocol, called the \textbf{Internet Protocol (IP)}. +The purpose of the Internet Layer is to deliver IP packets to where they want to go. +The two biggest issues for the Internet Layer are packet routing and avoiding congestion. + +\subsubsection{Layer 3 - The Transport Layer} +The \textbf{Transport Layer} is designed to allow peer entities on the source \& destination to carry out a conversation. + +It has two end-to-end protocols: TCP \& UDP. +\begin{itemize} + \item \textbf{Transmission Control Protocol (TCP):} End-to-end, reliable connection-oriented protocol that allows a byte + stream originating from one machine to be delivered with no error on another machine in the Internet. + \item \textbf{User Datagram Protocol (UDP):} Unreliable, connectionless protocol for applications that don't want TCP's + sequencing flow control and want to provide their own (or for apps that don't want connection overhead). +\end{itemize} + +\subsubsection{Layer 4 - The Application Layer} +The \textbf{Application Layer} contains all the high level protocols: HTTP, file transfer, e-mail, Domain Name System, etc. + +\begin{center} + \includegraphics[width=0.8\textwidth]{applicationlayer.png} +\end{center} + +\subsection{OSI vs TCP/IP} +The OSI and TCP/IP models have a lot in common. +Both are based on a concept of stack with independent protocols. +Additionally, the functionality of the layers is somewhat similar. + + +The concepts of \textbf{Services}, \textbf{Interfaces}, \& \textbf{Protocols} are central to the OSI model. +These three protocols are perhaps the biggest contribution that OSI made. +\begin{itemize} + \item \textbf{Services} tell what a certain layer does, not how the entities above it access it, nor how the layer works. + It defines the layer's semantics. + \item \textbf{Interfaces} tell the processes above the layer how to access it. + An interface specifies the parameters \& what results to expect. + Interfaces say nothing about how the layer works internally. + \item \textbf{Protocols} are the business of the peer layers. + A layer can use any protocol so long as it gets the job done (i.e., provides the offered services). + The protocols can change without affecting the software in the highest layer. +\end{itemize} + +TCP/IP did not originally make a clear distinction between services, interfaces, \& protocols. +Some people have attempted to retrofit services, interfaces, \& protocols after the specifications to make it look more like +OSI. +The only real services offered by the IP layer are \verb|SEND_IP_PACKET| \& \verb|RECEIVE_IP_PACKET|. +Consequently, protocols in the OSI model are better hidden than in the TCP/IP model and can be replaced a lot more easily (as +the technology changes), without disturbing the layers above. + +The OSI reference was described before the protocols were invented, so the model is not biased towards a set of protocols, and +is instead rather generic. +The downside of this is that the designers did not have much experience of which function to put in which layer, etc. + +In TCP/IP, the protocols came first. +The TCP/IP model was just done as a description of these protocols, so naturally, the protocols fit perfectly to the model. +The problem with this is that the model does not fit any other protocols, and is useless to describe any other type of model +that is not TCP/IP based. + +OSI has 7 layers, while TCP/IP has only 4. + +The OSI model supports connectionless \& connection-oriented services at the network layer, but only supports one type of +connection oriented service at the transport layer. + +The TCP/IP model only supports connectionless services at the network layer, but offers both connection-oriented \& connectionless +services at the transport layer, giving the users a choice. + +\subsubsection{Problems with the OSI Model \& Protocols} +The OSI model was never widely adopted, due in part to it's poor timing (the TCP/IP model was already in use when it was established) +but mainly because of its poor technology \& implementation. + +The Session \& Presentation layers in OSI are nearly empty, while others, like the Network \& Data-Link layers, are overcrowded. +The OSI protocols \& service definitions are very complex, bordering on incomprehensible. +Some of the functions in OSI (such as addressing, flow control, \& error control) reappear again \& again at different layers, +which is unnecessary \& inefficient. + +Given the complexity of the protocols, the implementations were huge \& inefficient. +People began to associate OSI with poor quality because the implementations were so slow on the available equipment. +In contrast, one of the first implementations of TCP/IP was part of Berkeley's UNIX and was quite good, as well as being free. + +\subsubsection{Problems with the TCP/IP Model \& Protocols} +\begin{itemize} + \item Service, interface, \& protocol not distinguished. + \item Not a general model. + \item The host-to-network layer is not really a layer. + \item No mention of physical \& data link layers. + \item Minor protocols are deeply entrenched, hard to replace. +\end{itemize} + +\newpage +\subsection{The Hybrid Model} +The \textbf{Hybrid Model} will be used in this course. + +\begin{center} + \includegraphics[width=0.3\textwidth]{hybridmodel.png} +\end{center} + +\section{The Theoretical Basis for Data Communication \& the Physical Layer} +\subsection{Fourier Analysis} +A periodic signal with period $T$ can be constructed as a sum of several sines \& cosines. + +\[ + g(t) = \frac{1}{2}c + \sum^\infty_{n=1} a_n \text{sin}(2\pi n f t) + \sum^\infty_{n=1} b_n \text{cos} (2 \pi n f t) +\] + +Where: +\begin{itemize} + \item $f = \frac{1}{T}$. + \item $a_n$ \& $b_n$ are the sine \& cosine amplitudes of the $n^{th}$ harmonics. + \item $c$ is a constant. +\end{itemize} + +Such a decomposition is called a \textbf{Fourier Series}. +The original function of time can be reconstructed (by performing the sum) if the period $T$ is known and the amplitudes $a_n$, $b_n$, and the constant $c$ are given. + +The $a_n$ amplitudes can be computed for any $g(t)$ by multiplying the Fourier series by $sin(2 \pi k f t)$ and integrating from $0$ to $T$. +\[ + a_n = \frac{2}{T} \int^T_0 g(t)\text{sin}(2 \pi n f t)dt +\] + +The $b_n$ amplitudes can be computed by multiplying the Fourier series by $cos(2 \pi k f t)$ and integrating from $0$ to $T$. +\[ + b_n = \frac{2}{T} \int^T_0 g(t)\text{cos}(2 \pi n f t)dt +\] + +The constant $c$ can be computed by simply integrating from $0$ to $T$. +\[ + c = \frac{2}{T} \int^T_0 g(t)dt +\] + +\newpage +\subsection{Bandwidth-Limited Signals} +Consider the ASCII character ``b'' encoded in a byte. +The bit pattern to be sent is \verb|01100010|. +The way to deal with a data signal that has a fixed duration (like in our example) is to imagine that the entire pattern repeats over \& over again endlessly. + +\begin{center} + \includegraphics[width=0.7\textwidth]{b.png} +\end{center} + +The Fourier analysis of the signal yields the coefficients: +\begin{center} + \includegraphics[width=0.5\textwidth]{fouriercoefficients.png} +\end{center} + +The \textbf{root mean square (RMS)} amplitudes are of interest because those values show the \textit{energy} transmitted at the corresponding frequency. +No transmission facility can transmit signals without losing some power in the process. +If all Fourier components were equally diminished, then the resultant signal would be reduced in amplitude, but not distorted. +Unfortunately, all transmission media diminish different Fourier components by different amounts, resulting in a distortion of the signal at the receiving end. + +Usually, the amplitudes are transmitted undiminished between $0$ \& a frequency $Fc$ (\textbf{F cut}, measured in Hz), with +all frequencies above this $Fc$ attenuated. +The range of frequencies being attenuated is called the \textbf{bandwidth}. +In practice, the cut of frequency is not really sharp, so usually, this bandwidth is the range from $0$ to the frequency where +half of the power of the signal gets through. + +The bandwidth is a physical property of the transmission medium, and usually depends on the construction, thickness, \& length +of the medium. +Consider our signal ASCII ``B'', shown in figure (a) below. +Look at how the signal would look if only the lowest frequencies were transmitted (i.e., if the function was approximated by only a few terms). + +\begin{center} + \includegraphics[width=0.7\textwidth]{rms1.png} +\end{center} + +\begin{center} + \includegraphics[width=0.6\textwidth]{rms2.png} +\end{center} + +Given a rate of $b$ bits per second, the time to send one byte is $\frac{8}{b}$, which is the period for the first harmonic. +The frequency of the first harmonic would be $\frac{b}{8}$ Hz. + +\begin{center} + \includegraphics[width=0.7\textwidth]{bps.png} +\end{center} + +\subsection{Maximum Data Rate of a Channel} +For a \textbf{noiseless channel}, we determine the maximum data rate with the \textbf{Nyquist Theorem}: +\[ + \text{MaxDataRate} = 2B \text{log}_2V \text{ [bits/sec]} +\] +Where: +\begin{itemize} + \item $B$ is the bandwidth of the noiseless channel. + \item $V$ is the number of discrete levels of the signal transmitted through the channel. +\end{itemize} + +If random noise is present, then the situation deteriorates rapidly. +In reality, there is always random noise, due to the motion of the molecules in the system. +The amount of thermal noise is measured by the ratio of the signal power to the noise power, called the \textbf{signal-to-noise ratio}: +\[ + \text{SNR}_{\text{dB}} = 10\text{log}_{10} \left(\frac{S}{N} \right) \text{ [dB]} +\] + +The signal to noise ratio is given in \textbf{decibels (dB)} and the ratio itself is not usually quoted. +A ratio of 10 is 10dB, a ratio of 100 is 20dB, a ratio of 1000 is 30dB, and so on. + +\textbf{Shannon's Theorem}: +\[ + \text{MaxDataRate} = B \text{log}_2 \left( 1 + \frac{S}{N} \right) \text{ [bits/sec]} +\] +Where: +\begin{itemize} + \item $B$ is the bandwidth of the noisy channel. + \item $\frac{S}{N}$ is the signal-to-noise ratio of the channel. +\end{itemize} + +Shannon's Theory demonstrates that the maximum data rate through a channel is limited by the amount of noise present, no matter +how many or how few signal levels are used and no matter how frequently or infrequently samples are taken. +This limit is the upper limit, and real systems rarely achieve it. + +\subsection{Channel Organisation} +Any communications channel has a \textit{direction} associated with it. + +\begin{center} + \includegraphics[width=0.8\textwidth]{channelorganisation.png} +\end{center} + +The message source is the transmitter, and the destination is the receiver. +A channel whose direction of transmission is unchanging is referred to as a \textbf{simplex channel}. +For example, a radio station is a simplex channel because it always transmits the signal to its listeners and never allows them +to transmit back. + +A \textbf{half-duplex channel} is a single physical channel in which the direction may be reversed. +Messages may flow in two directions, but never at the same time in a half-duplex system. + +A \textbf{full-duplex channel} allows simultaneous message exchange in both directions. +It really consists of two simplex channels: a forward channel \& a reverse channel, linking the same points. +The transmission rate of the reverse may be slower if it is used only for flow control of the forward channel. + +\subsubsection{Synchronisation} +Data is not generally sent at a uniform rate through a channel. +Instead, there is usually a burst of data followed by a pause, after which the data flow resumes. +Packets of binary data are sent in this manner, possibly with variable-length pauses between packets, until the message has been +fully transmitted. +In order for the receiving end to know the proper moments to read individual binary bits from the channel, it must know exactly when +a packet begins and how much time elapses between bits. +When this timing information is known, the receiver is said to be \textbf{synchronised} with the transmitter, and accurate data +transfer becomes possible. +Failure to remain synchronised throughout a transmission will cause data to be corrupted or lost. +\begin{itemize} + \item The receiver should know the exact moment when the data is valid. +\end{itemize} + +Two basic techniques are employed to ensure correct Synchronisation: \textbf{synchronous} \& \textbf{asynchronous} communication. + +In \textbf{synchronous systems}, separate channels are used to transmit data \& timing information. +The timing channel transmits clock pulses to the receiver. +Upon receipt of a clock pulse, the receiver reads the data channel and latches the bit value found on the channel at that moment. +The data channel is not read again until the next clock pulse arrives. +Because the transmitter originates both the data \& the timing pulses, the receiver will read the data channel only when told +to do so by the transmitter (via the clock pulse), and synchronisation is guaranteed. +Techniques exist to merge the timing signal with the data so that only a single channel is required. +This is especially useful when synchronous transmissions are to be sent through a modem. +Two methods in which a data signal is self-timed are: non-return-to-zero \& bi-phase Manchester coding. +These both refer to methods for encoding a data stream into an electrical waveform for transmission. +\begin{itemize} + \item Data \& timing information are sent separately (through separate channel or the same channel). + \item The timing channel transmits clock pulses to the receiver. + \item Upon receipt of a clock pulse, the receiver reads the data \& latches it. + \item The data is not read again until the next clock pulse arrive. +\end{itemize} + +In \textbf{asynchronous systems}, a separate timing channel is not used. +The transmitter \& receiver must be preset in advance on timings. +A very accurate local oscillator within the receiver will then generate an internal clock signal that is equal to the transmitter's +within a fraction of a percent. +For the most common serial protocol, data is sent in small packets of 10 or 11 bits, eight of which constitute message information. +When the channel is idle, the signal voltage corresponds to a continuous logic ``1''. +A data packet always begins with a logic ``0'' (the start bit) to signal to the receiver that a transmission is starting. +The start bit triggers an internal timer in the receiver that generates the needed clock pulses. +Following the start bit, eight bits of message data are sent bit by bit at the upon baud rate. +The packet is concluded with a parity bit \& a stop bit. +\begin{itemize} + \item No separate timing information is used. + \item The transmitter \& receiver must agree in advance on timings. + \item Start \& stop conditions are used. + \item Accurate oscillators will measure the bit widths. +\end{itemize} + +\subsubsection{Parallel Communication} +\begin{enumerate} + \item Sender places data on the channel. + \item Sender asserts ``data available''. + \item Receiver reads the data and asserts ``ready'' signal. + \item Sender de-asserts ``data available'' and it will be ready for a new data transfer. +\end{enumerate} + +\begin{center} + \includegraphics[width=0.45\textwidth]{parallelcomm.png} +\end{center} + +\subsubsection{Serial Communication} +In \textbf{synchronous systems}, separate channels are used to transmit data \& timing information. +The timing channel transmits clock pulses to the receiver. +Upon receipt of a clock pulse, the receiver reads the data channel \& latches the bit value found on the channel at that moment. +The data channel is not read again until the next clock pulse arrives. +Because the transmitter originates both the data \& the timing pulses, the receiver will read the data channel only when +told to do so by the transmitter (via the clock pulse) , and synchronisation is guaranteed. + +Techniques exist to merge the timing signal with the data so that only a single channel is required. +This is especially useful when synchronous transmissions are to be sent through a \textbf{modem}. +Two methods in which a data signal is self-timed are non-return-to-zero and bi-phase Manchester coding. +These both refer to methods for encoding a data stream into an electrical waveform for transmission. +\begin{itemize} + \item Data \& sync info are sent separately. + \item Examples: 12C, USB, SPI. +\end{itemize} + +\begin{center} + \includegraphics[width=0.6\textwidth]{serialsynch.png} +\end{center} + +In the most common protocol of \textbf{asynchronous serial transmissions}, data is sent in small packets of 10 or 11 bits, +eight of which constitute message information. +When the channel is idle, the signal voltage corresponds to a continuous logic \verb|1|. +A data packet always begins with a logic \verb|0| (the start bit) to signal to the receiver that a transmission is starting. +The start bit triggers an internal timer in the receiver that generates the needed clock pulses. +Following the start bit, eight bits of message data are sent bit by bit at the agreed upon baud rate. +The packet is concluded with a parity bit \& stop bit. +The packet length is short in asynchronous systems to minimise the risk that the local oscillators in the receiver \& transmitter will drift apart. +When high-quality crystal oscillators are used, synchronisation can be guaranteed over an 11-bit period. +Every time a new packet is sent, the start bit rests the Synchronisation, so the pause between packets can be arbitrarily long. +\begin{itemize} + \item Packet length is short (to minimise local oscillators drift). + \item Examples: RS232 +\end{itemize} + +\begin{center} + \includegraphics[width=0.6\textwidth]{serialasynch.png} +\end{center} + +\subsection{Noise \& Distortion} +Long conductors act like receiving antennae for electrical noise radiated by motors, switches, \& other electrical circuits. +Electrical signals get distorted when passing through metallic conductors due to limitations of bandwidth \& internal thermal noise of the transmission media. + + +Because of the high switching rate \& relatively low signal strength found on buses within a computer (such as data, address, etc.), +direct extension of the buses beyond the boundaries of the main circuit board or plug-in boards would pose serious problems. +\begin{itemize} + \item Firstly, long runs of electrical conductors, either on printed circuit boards or through cables, act like receiving antennae + for electrical noise radiated by motors, switches, \& electronic circuits. + \item A second problem involves the distortion of electrical signals as they pass through metallic conductors. + Signals that start at the source as clean, rectangular pulses may be received as rounded pulses with ringing at the + rising \& falling edges. +\end{itemize} + +\begin{center} + \includegraphics[width=0.6\textwidth]{noisendistortion.png} +\end{center} + +\subsubsection{Noise Compensation} +Distortion effects are properties of transmission through metallic conductors, and become more pronounced as the conductor length +increases. +To compensate for distortion, signal power must be increased or the transmission rate decreased. + +Special amplifier circuits are designed for transmitting directly (un-modulated) digital signals through cables. +For the relatively short distances between components on a printed circuit board or along a computer backplane, the amplifiers +are in simple IC chips that operate from standard +5V power. +The normal output voltage from the amplifier for logic \verb|1| is slightly higher than the minimum needed to pass the logic +\verb|1| threshold. +Correspondingly, for logic \verb|0|, it is slightly lower. +The difference between the actual output voltage \& the threshold value is referred to as the \textbf{noise margin}, and +represents the amount of noise voltage that can be added to the signal without creating an error. + +\begin{center} + \includegraphics[width=0.6\textwidth]{noisecomp.png} +\end{center} + +\subsubsection{Data Transfer over Long Distances} +When relatively long distances are involved in reaching a peripheral device, driver circuits must be inserted after the bus +interface unit to compensate of the electrical effects of long cables (noise \& distortion). +This is the only change needed if a single peripheral is used. + +However, if many peripherals are connected, or if other computer stations are to be linked, a Local Area Network (LAN) is +required, and it becomes necessary to drastically change both the electrical drivers \& the protocol to send messages through the +cable. +Because multi-conductor cable is expensive, bit-serial transmission is almost always used when the distance exceeds 10 meters. + +In either a simple extension cable or a LAN, a balanced electrical system is used for transmitting digital data through the channel. +This type of system involves at least two wires per channel, neither of which is a ground. +Note that a common ground return cannot be shared by multiple channels in the same cable as would be possible in an unbalanced system. + +\begin{center} + \includegraphics[width=0.6\textwidth]{dtold.png} +\end{center} + +\subsubsection{Balanced Line Transmission} +The basic idea behind a \textbf{balanced line circuit} is that a digital signal is sent on \textit{two wires simultaneously}, +one wire expressing a \textit{positive voltage image} of the signal, and the other a \textit{negative voltage image}. +When both wires reach the destination, the signals are subtracted by a \textbf{summing amplifier}, producing a signal swing of +twice the value found on either incoming line. +If the cable is exposed to radiated electrical noise, a small voltage o the same polarity is added to both wires in the cable. +When the signals are subtracted by the summing amplifier, the noise cancels out, and the signal emerges from the cable without noise. + +\begin{center} + \includegraphics[width=0.8\textwidth]{ballinetrans.png} +\end{center} +\begin{itemize} + \item The signal is sent over \textbf{two} wires simultaneously. + \begin{itemize} + \item One wire is carrying the positive signal. + \item One wire is carrying the negative (inverted) signal. + \end{itemize} + \item At the receiver, the signals are subtracted by a summing amplifier producing a stronger signal than any of the signals + swinging on the individual lines. + \item When the signals are subtracted, any induced noise cancels. +\end{itemize} + +\subsection{Guided Transmission Data} +\subsubsection{Twisted Pair} +\textbf{Twisted Pair} consists of two insulated copper wires, typically about 1mm thick. +The wires are twisted together in a \textit{helical} form. +Twisting is done because two parallel wires constitute a fine antenna. +When the wires are twisted, the waves radiated from different twists cancel each other out. +The wires are usually bundled together \& encased in protective shields when coming from, say, a block of apartments to a phone +company. +If the wires were not twisted, the interference between the wires part of the same bundle would be significant. + +Twisted pair wires can be used for the transmission of both digital \& analog signals. +The bandwidth depends on the thickness of the wire \& the distance, but usually several Mbps can be easily achieved. + +Cat 2 UTP (16 MHz) was used until 1988 to wire telephone systems, but was later replaced by Cat 5 UTP and later variants +(with more twists per centimeter, resulting in less cross-talk and better quality signals over longer distances), able to handle about +100Mhz. +Later categories include 6 \& 7, which are able to handle signals of 250MHz \& 600MHz, therefore having higher data rates +over longer distances. + +\begin{center} + \includegraphics[width=0.5\textwidth]{twistedpair.png} +\end{center} + +\subsubsection{Coaxial Cable} +\textbf{Coaxial Cables} are better shielded than twisted pair cables and can span over longer distances at higher speeds. +50 Ohms (for digital transmission) \& 75 Ohms (for analog transmission) are available. +Due to the construction \& the shielding process, the coax cables can have large bandwidth, up to 1GHz. +Coaxial cables used to be largely utilised by phone companies for long distance lines, but have now been replaced with +fibre optics. + +\begin{center} + \includegraphics[width=0.5\textwidth]{coax.png} +\end{center} + +\subsubsection{Fibre Optics} +The achievable bandwidth for optical fibre is in excess of 50Tbps (50,000 Gbps). +However, the current practical signalling limit is 10Gbps, due not to the characteristics of the optical fiber, but by our +inability to convert electrical signals into optical signals any faster. + +An \textbf{Optical Transmission System} has three components: +\begin{itemize} + \item The light source. + \item The transmission medium. + \item The detector. +\end{itemize} + +Conventionally, a pulse of light indicates a \verb|1| \& an absence of light indicates \verb|0|. +The transmission medium is a thin optical fibre, and the detector generates an electrical pulse when light falls on it. +By attaching the source of light at one end of an optical fibre, and the detector at the other end, we have a +\textbf{unidirectional} data transmission system that accepts electrical signal, converts it into light, transmits it over +the optical fibre, and is received by the detector and transformed back into electrical signal. + +The angle at which the light is injected into the optical fibre is very important. +Because of refraction, the light can either escape the fibre, or be ``trapped'' inside it, with virtually no loss. + +\begin{center} + \includegraphics[width=0.5\textwidth]{fibopt.png} +\end{center} + +In a \textbf{multimode fibre}, many different rays could bounce inside of the fibre, at different angles. +In a \textbf{single mode fibre}, the diameter of the fibre is reduced to a few wavelengths of light, which causes the +light to propagate only in straight lines. +Single mode fibres are more expensive, and are used for transmission on very long distances. +50Gbps for over 100Km are possible, without any amplification. + +\begin{center} + \includegraphics[width=0.8\textwidth]{p31.png} +\end{center} + +For multimode fibres, the core is 50 microns. For single mode fibres, the diameter of the core is 8 to maximum 10 microns. +Fibres can be connected in three ways: connectors, splicing, \& fusing. + +\begin{center} + \includegraphics[width=0.6\textwidth]{translightfibre.png} +\end{center} + +The attenuation of light through glass (the raw material used for optical fibre cables) depends on the wavelength of the +light \& the physical properties of the glass. +For example, an attenuation of 2 is given by $10 \text{log}_2 = 3\text{dB}$. +Visible light is from 0.4 to 0.7 microns (400 to 700nm). +Three wavelength bands are used for communication, centred on: 0.85 microns, 1.30 microns, \& 1.55 microns. + +As the ray of light travels down the fibre, \textbf{chromatic dispersion} (the process of spreading of the wavelength) is +occurring. +By making the pulses of a special shape, called \textbf{solitons}, nearly all the dispersion effects can be cancelled out. + +\begin{center} + \includegraphics[width=0.6\textwidth]{compfibre.png} +\end{center} + +Two types of light sources can be used: LED \& Semiconductor Lasers. +The receiver is a \textbf{photodiode}, which gives an electrical pulse when struck by light. +The response time is usually 1 nanosecond, which limits the data rates to about 1Gbps. + +\begin{center} + \includegraphics[width=0.7\textwidth]{fibpotnet.png} +\end{center} + +A ring network is just a collection of point-to-point links. +The interface on each computer passes the light pulse stream through to the next link and also serves as a T-junction to allow the +computer to send \& accept messages. +The interfaces could be \textbf{passive} (tapping an LED \& a photodiode on the fibre) or \textbf{active} (presented in the above figure). +The passive interface loses signal, so therefore, the light cannot travel very far, and the size of the network is limited. +If an active repeater fails, the ring is broken and the network goes down. + +\subsection{Wireless Transmission} +\subsubsection{The Electromagnetic Spectrum} +The number of oscillations per second of a wave is called its \textbf{frequency} ($f$), measured in Hertz. +The distance between two consecutive maxima (or minima) is called \textbf{wavelength} $\lambda$, measured in metres. +\textit{In vacuo}, all electromagnetic waves travel at the same speed, which is the speed of light $\sim3 \times 10^8$ m/s. +In copper, all waves travel at about $\frac{2}{3}$ the speed of light. + +The relation between the frequency \& wavelength of an electromagnetic wave (\textit{in vacuo}) is given by the relation: +$$ \lambda f = c $$ + +Since $c$ is a constant (the speed of light), if we know the frequency, then we can compute the wavelength, and vice-versa. + +\begin{center} + \includegraphics[width=0.7\textwidth]{electrospec.png} +\end{center} + +Almost all transmissions use a narrow frequency band (with few exceptions - frequency hopping spread spectrum \& direct sequence spread +spectrum). +For the moment, we assume all transmission do use a narrow frequency band. + +\subsubsection{Radio Transmission} +\begin{center} + \includegraphics[width=0.6\textwidth]{radiotrans.png} +\end{center} + +\subsubsection{Microwave Transmission} +Microwaves travel in straight lines above 1000MHz. +If two points are too far apart, \textbf{repeaters} are needed between them. +Microwaves can't pass through buildings, and if over 5GHz, the waves will be absorbed by water such as rain. +Microwave transmission is widely used for long-distance communication, which has resulted in a shortage of available bandwidth. + +Microwaves have a \textbf{multipath fading} problem. +Multipath fading refers to the fact that delayed waves may arrive out of phase with the direct wave and thus cancel the signal. +Some operators keep their channels idle as spares to switch on when multipath fading wipes out some frequency band temporarily. +Multipath fading is a phenomenon that is dependant on weather \& the operating frequency. + +\subsection{Politics of the Electromagnetic Spectrum} +Because radio is capable of travelling long distances, \textbf{interference} between users is a problem. +For this reason, governments license the use of radio transmitters. + +The \textbf{Industrial, Scientific, and Medical} band (ISM) is different from country to country. + +\begin{center} + \includegraphics[width=0.6\textwidth]{ism.png} +\end{center} + +\subsection{Infrared \& Millimeter Waves} +Infrared \& millimeter waves are widely used for short range communications (i.e., used in remote controls). +They are directional \& easy to build but don't pass through objects. +However, this is also a plus, because it means no interference with similar systems sitting in the next room, no security issues, etc. +No government license is needed to operate infrared systems. + +Infrared \& millimeter waves are also sometimes used in interconnecting some devices as well, i.e., mice to computers, mobile phones to other equipment, etc. +The more we go from long wave radio towards visible light, the electromagnetic waves behave more \& more like light and less \& +less like radio. + +\subsection{Communication Satellites} +In its most simple form, a \textbf{communication satellite} can be seen as a big microwave repeater up in the sky. +It contains several transponders, each of which listens to some portion of the spectrum, amplify the incoming signal, and then +rebroadcast it to another frequency to avoid interference with the incoming signal. +The downward beam can be \textit{broad} (covering a large area of Earth's surface) or can be \textit{narrow} (covering only a few hundred kilometers +in diameter). + +Issues with satellites: +\begin{itemize} + \item \textbf{Orbital Period -} The higher the satellite, the larger the orbital period. + (At an altitude of about 36,800km, the period is about 24 hours. At 384,000 km, the period is about 1 month). + \item Presence of the \textbf{van Allen belts -} Layers of highly charged particles trapped by the Earth's magnetic field. + Any satellite flying inside of those belts would be quickly destroyed. +\end{itemize} + +\begin{center} + \includegraphics[width=0.6\textwidth]{comsat1.png} +\end{center} + +\textbf{Geostationary Earth Orbit (GEO)} satellites sit at an altitude of about 35,800km in a circular equatorial orbit. + +\begin{center} + \includegraphics[width=0.6\textwidth]{comsat2.png} +\end{center} + +\textbf{Very Small Aperture Terminals (VSATs)} can be 1 metre in size or smaller, in contrast to the 10 meters required for +GEO satellites communication. + +\begin{center} + \includegraphics[width=0.6\textwidth]{vsathub.png} +\end{center} + +\subsubsection{Middle Earth Orbit Satellites} +\textbf{Middle Earth Orbit (MEO)} satellites sit between the two van Allen belts. +They must be tracked as they move through the sky. +Less powerful transmitters are required to reach them. +MEO satellites are not usually used for communication. +One example of their use is \textbf{General Positioning System (GPS)} satellites. +Currently, there are about 30 MEO satellites used the GPS system orbiting at about 18,000km. +GPS needs a minimum of 24 satellites to operate and the typical number of active GPS satellites is about 30. +GPS receivers released since 2018 have much higher accuracy, pinpointing to within 30 centimeters. + +\subsubsection{Low Earth Orbit Satellites} +\textbf{Low Earth Orbit (LEO)} satellites sit below the van Allen belts. +Due to their motion, a large number of LEO satellites are required for full coverage. +Because they are low orbit, the ground stations that communicate with them do not need much power, and the round trip is only +a few milliseconds. +Examples include Iridium and Starlink. + +\begin{center} + \includegraphics[width=0.6\textwidth]{iridium.png} +\end{center} + +\subsection{Modems} +Due to attenuation (and other discussed problems), square waves (digital signal) cannot be used for long-distance transmission. +Instead, AC signalling is used, with a continuous tone, around 1000 - 2000Hz, called a \textbf{sine wave carrier}. +The amplitude, frequency, or phase of this AC signal can be \textbf{modulated} to transmit information. + +\textbf{Modulation} is a technique by which analogue signals are used as carriers for digital signals. +Many types of modulation are possible, including amplitude, frequency, \& phase modulation. +\begin{itemize} + \item \textbf{Amplitude Modulation -} Two different amplitudes are used to represent \verb|1| or \verb|0|. + \item \textbf{Frequency Modulation -} Two (or more) different tones are used. Also called Frequency Shift Keying. + \item \textbf{Phase Modulation -} The carrier wave is shifted $0^\circ$ or $180^\circ$ at bit intervals to show a transition. + A better scheme is to use shifts of $45^\circ$, $135^\circ$, $225^\circ$, or $315^\circ$ to transmit two bits of information. +\end{itemize} + +\textbf{Modems} (\textbf{Mo}dulator/\textbf{Dem}odulator) are special devices which are connected to the computer system +through techniques covered in Communication over Short Distances. +Modems accept a serial stream of bits as input and produce a carrier modulated by one or more of the aforementioned methods. +The modem is inserted between the digital computer and the analog telephone system. + +\begin{center} + \includegraphics[width=0.6\textwidth]{modems1.png} +\end{center} + +A good example of data communications over longer distances using copper wire is the use of the telephone network for one's +home internet connection. +Transmissions over such distances are not generally accomplished with a digital-wire link, unless you have fibre to the home, +but rather with digitally-modulated analog carrier signals, as these are easier to transmit intact over a bandwidth-limited link +to the ISP. +This technique makes it possible to use existing phone lines for digital data, although at possibly reduced data rates +compared to a direct digital link. + +Transmission of data from one's home over phone line requires that data signals be converted to \textbf{modulated carrier waves} +by a \textbf{modem}. +One or more sine wave carriers are used, and, depending on the baud rate \& protocol, the modem will encode data by varying the +frequency, phase, or amplitude of the carrier. +The receiver's modem accepts the modulated sine wave \& extracts the digital data from it. +Several modulation techniques are typically used in encoding digital data for transmission. + +A phone line has a band of 3,000Hz, so, by Nyquist theorem, there is no point in sampling the line at faster rates than 6,000 times per second. +In practice, most modems sample at 2,400 times per second and focus on getting more bits per sample. +The number of samples per second is measured in \textbf{baud}. +During one baud, one \textit{symbol} is sent. +One symbol can consist of one or more bits. +$n$ baud line transmits $n$ symbols per second. +A 2400bps line transmits one symbol about every 416.667 microseconds. +If the symbol consists of 2 bits per symbol, then the bit rate is 4800 bits per second. + +\begin{itemize} + \item The \textbf{bandwidth} of a medium is the range of frequencies that pass through with minimum attenuation. + It is a \textit{physical property} of the medium, 0 to some maximum frequency, measured in Hertz. + \item The \textbf{baud rate} is the number of samples made per second. + One symbol is sent out per sample, thus the baud rate \& the symbol rate are the same. + \item The \textbf{bit rate} is the amount of information sent over the channel. + It is equal to the number of symbols per second times the number of bits per symbol. +\end{itemize} + +\begin{center} + \includegraphics[width=0.6\textwidth]{moreaboutmodems.png} +\end{center} +The above diagrams are called \textbf{constellation diagrams}. +Each constellation diagram shows the legal combinations of amplitude \& phase. +Each modem uses its own constellation diagram and can talk only with modems that implement the same constellation diagram. + +In \textbf{Quadrature Phase Shift Keying (QPSK)} four phases are used. +In \textbf{Quadrature Amplitude Modulation 16 (QAM-16)}, four amplitudes \& four phases are used to form a total of \textbf{16} +possible combinations. +In other words, a symbol can encode 4 bits, 9600 bits per second over a 2400 baud line. +In \textbf{Quadrature Amplitude Modulation 64 (QAM-64)}, there are a total of 64 possible combinations. +In other words, a symbol can encode 6 bits. +Higher order QAMs are also used. + +\begin{center} + \includegraphics[width=0.6\textwidth]{moreaboutmodems.png} +\end{center} + +With many points in the constellation diagram, even a small amount of noise would result in transmission errors. +\textbf{Trellis Coded Modulation (TCM)} is used, where besides the data, a symbol also contains \textbf{parity checking}. + +Modems are \textbf{bidirectional} devices, by using different frequencies for different directions. +Bidirectional simultaneous connections are called \textbf{full duplex connections}. + +\subsection{Digital Subscriber Lines} +Services with more bandwidth than standard telephone services are called \textbf{broadband}, although the term is more +marketing than technical. + +\textbf{Digital Subscriber Line (DSL)} services started to be offered by phone companies, to be competitive on the broadband +services market (TV \& satellite companies were already offering broadband services). + +The reason why modems are so slow is that phone lines were invented to carry human voice, not data. +Therefore, frequencies below 300Hz and above 3100Hz were artificially filtered out. +Cutoff filters were added on the local loops to filter out frequencies other than voice. +The cutoff is not sharp, so the bandwidth is usually quoted to be 4000Hz even though the distance between the 3dB points is +3100Hz. +Thus, data is restricted to this narrow band. + +The trick that made DSL (or \textbf{Asymmetric DSL (ADSL)}) work is that when a customer subscribes to it, the incoming +line is connected to a different kind of switch in the end office that doesn't have this voice filter installed, thus +making the entire capacity of the loop available. + +The capacity of the local loop depends on the length \& thickness of the cable, and a plot of it is presented below. +Therefore, the ADSL services are limited to customers that are within a certain radius from the end office (phone +company switch). + +\begin{center} + \includegraphics[width=0.8\textwidth]{dsl.png} +\end{center} + +The available spectrum of the local loop (which is 1.1MHz for a decent service) is divided into 256 channels of 4312.5Hz each. +Channel 0 is used for POTS (Plain Old Telephone Service). +Channels 1 to 5 are not used, to make sure that there is enough guard between voice \& data. +The remaining 250 channels are used for data \& stream control (one is used for upstream control \& one is used for +downstream control). +It is up to the provider how many channels will be used for upstream \& downstream. +A 50-50 mix for upstream \& downstream is possible, but usually providers allocate more for downstream than for upstream, +usually 80\% downstream, 20\% upstream, as most of the users are using the line for Internet, and thus pull pages down +onto their system. +This is why DSL turned into ADSL. +A common split is 32 channels for upstream, and the rest for downstream. + +Within each channel, a modulation schema similar to V.34 is used, although the sampling rate is 4000 baud instead of 2400. +The line quality in each channel is constantly monitored, and the data rate is adjusted continuously as needed, so +different channels may have different data rates. +The data is sent with QAM modulation, with a maximum of 15 bits per symbol. +With 224 downstream channels, the downstream data bit rate is about 13.4Mbps. +In practice, the signal to noise ratio is never good enough to achieve this bit rate, but 8Mbps is possible on short local +loops, and the ADSL standard goes this far. + +\begin{center} + \includegraphics[width=0.8\textwidth]{dsl2.png} +\end{center} + +A telephone company technician must install a \textbf{Network Interface Device (NID)} in the customer's house. +Close to or combined with the NID, a \textbf{splitter} is installed, which is an analog filter which separates the phone signal +(0 to 4000Hz) from the data signal (over 26kHz). + +The ADSL modem is actually a signal processor that acts as 250 QAM modems, operating in parallel at different frequencies +available for each channel. +Usually, the connection between the modem \& the computer is Ethernet-based. + +At the end office, a special \textbf{Digital Subscriber Line Access Multiplexer (DSLAM)} receives the data over 26kHz +(separated by the splitter) and recovers the bit stream from the data (same function as the ADSL modem at the customer +end). +The low frequency signal (POTS signal), is sent to a conventional switch. + +\subsection{Trunks \& Data Multiplexing} +High bandwidth \textbf{trunks} are available between switching offices. +The data collected from end loops needs to be multiplexed over those high-bandwidth trunks. +There are two main categories for data: \textbf{FDM} \& \textbf{TDM}. +\begin{itemize} + \item In \textbf{Frequency Division Multiplexing (FDM)}, the frequency spectrum is divided into frequency bands, + with each user having exclusive possession of some band. + \item In \textbf{Time Division Multiplexing (TDM)}, the users take turns (in a round robin fashion), each one + periodically getting the entire available bandwidth for a short period of time. +\end{itemize} + +\subsubsection{Frequency Division Multiplexing} +The below diagram presents how voice-grade telephone channels are multiplexed using FDM. +When many channels are multiplexed together, 4kHz bandwidth is allocated to each channel to keep them separated. +First, each channel is raised in frequency, each by a different amount. +Then, they can be combined, because no channel will occupy the same portion of the spectrum/ + +FDM schemata are, to some degree, standardised. +A widespread standard is twelve 4kHz voice channels multiplexed into sixty 108kHz baud. +This is called a \textbf{group}. +Five groups can be multiplexed into a \textbf{supergroup}. +Five supergroups can be multiplexed into a \textbf{mastergroup}. + +\begin{center} + \includegraphics[width=0.8\textwidth]{fdm.png} +\end{center} + +\textbf{Wavelength Division Multiplexing (DWM)} is a variation of FDM at very high frequencies, used primarily over +optical fiber trunks. +Systems with 96 channels of 10Gbps each are available in production. +960Gbps is enough to send approximately 30 full movies per second. + +\begin{center} + \includegraphics[width=0.8\textwidth]{wdm.png} +\end{center} + +\subsubsection{Time Division Multiplexing} +\textbf{Time Division Multiplexing} is how multiple analog telephone channels are digitised \& combined onto a single +outgoing digital trunk. +The analog data is digitised in the end office by a device called a \textbf{codec}. +The codec makes 8000 samples per second (125 $\mu$s per sample, is, according to Nyquist's theorem, enough to sample at +twice the bandwidth of the signal to capture all the information carried by the signal) and measures the amplitude of each +sample with a precision of 8 bits. +This process is called \textbf{Pulse Code Modulation (PCM)}, and forms the heart of the modern telephone service. +As a consequence, all time intervals within a phone system are multiples of 125$\mu$s. + +Incompatible schemata are in use in the US \& Europe; Japan \& the US use the T1 carrier (presented below), while the E1 +carrier is used in the EU. + +\begin{center} + \includegraphics[width=0.8\textwidth]{tdm.png} +\end{center} + +Each T1 frame accommodates 24 channels (each sampled 8000 times per second, 7 bits per sample), giving a gross data rate of +1.544Mbps. +An extra bit is used for framing control. +This bit changes value from \verb|0| to \verb|1|, and from \verb|1| to \verb|0| every frame. +The changing patter is \verb|01010101|\dots and is used by the receiver to ensure that it is not loosing synchronisation. +Analog customers cannot generate this wave, as it corresponds to a sine wave at 4000Hz and this frequency is not present in +analog voice channels. + +E1 has 32 channels, with 8 bits per channel packed into the basic 124$\mu$s frame. +This yields to a gross data rate of 2.048Mbps. + +\begin{center} + \includegraphics[width=0.7\textwidth]{tdm2.png} +\end{center} + +Once the voice channel has been digitised, it is tempting to use statistical techniques to obtain fewer bits per sample, thus +requiring lower bandwidth to carry the voice information. +All the compaction methods are based on the fact that the analog voice signal is changing relatively \textit{slowly} in +comparison to the sampling frequency, so much so that that the information in the 7\textsuperscript{th} \& 8\textsuperscript{th} +bits is redundant. + +\textbf{Differential Pulse Control Modulation (DPCM)} is based on producing as output the difference between the current value +and the previous one. +Since jumps of $\pm 16$ in a scale from - to 128 are unlikely, just 5 bits are enough to represent the audio signal. +If the signal does occasionally jump sharply, then a few samples are required to catch up with the new value. +For human speech, this kind of error can be ignored. + +\textbf{Delta Modulation} is a variation of DPCM that requires the current value to differ by only $\pm1$ from the previous +value. +Under those conditions, just one bit can be sent to indicate if the next value is over or below the previous value. + +\begin{center} + \includegraphics[width=0.7\textwidth]{tdm3.png} +\end{center} + +\subsubsection{Cable Television} +\begin{center} + \includegraphics[width=0.7\textwidth]{communityantennatelevision.png} +\end{center} + +\begin{center} + \includegraphics[width=0.7\textwidth]{internetovercable.png} +\end{center} + +\begin{center} + \includegraphics[width=0.7\textwidth]{internetovercable2.png} +\end{center} + +\begin{center} + \includegraphics[width=0.6\textwidth]{spectrumallocation.png} +\end{center} + +\begin{center} + \includegraphics[width=0.6\textwidth]{cablemodems.png} +\end{center} + +\section{Medium Access Control (MAC) Sublayer} +\subsection{The Channel Allocation Problem} +In broadcast networks, the key issue is how to determine who gets to use the channel when there is competition for it. + +\subsection{Multiple Access Protocols} +\subsubsection{CSMA Protocols} +\textbf{Carrier Sense Multiple Access (CSMA)} protocols are protocols in which stations listen for a carrier (i.e., transmission) +and act accordingly. +Networks based on these protocols can achieve better channel utilisation that $\frac{1}{2}$. + +CSMA Protocols include: +\begin{itemize} + \item 1 Persistent CSMA. + \item Non-Persistent CSMA. + \item p-Persistent CSMA. + \item CSMA CD. +\end{itemize} + +\textbf{1 Persistent CSMA}: +\begin{itemize} + \item When a station has data to send, it first listens to the channel. + \item If the channel is busy, the station waits until the channel is free. + When it detects an idle channel, it transmits the frame. + \item If collision occurs, it will wait a random amount of time and then start again. + \item The protocol is called \textbf{1 Persistent} because the station sends with probability + of 1 when it finds the channel idle, meaning that it is continuously listening. + \item The propagation delay has an important effect ton the performance of the protocol. + There is a small chance that just after a station begins sending, another station will + sense the channel is idle (before the signal from the first station reaches it). + The longer the propagation delay, the more important this effect becomes, and the worse + the performance of the protocol. + \item Even if the propagation delay is zero, there will still be collisions. + Imagine that two stations wanted to transmit data at the same time, but a third + station is busy transmitting. + Both stations will wait until the third has finished transmitting, sense the idle channel, + \& begin sending. +\end{itemize} + +\textbf{Non-Persistent CSMA}: +\begin{itemize} + \item A station senses the channel before sending. + If there is no activity, it sends its frame. + \item If the channel is busy, then instead of continuing to sense the channel until it becomes + idle, it simply retries at a later time by waiting a random period of time \& repeating the algorithm. + \item With this algorithm, fewer collisions will happen; thus better channel utilisation, at + the cost of longer delays than 1 Persistent CSMA algorithm +\end{itemize} + +\begin{center} + \includegraphics[width=0.7\textwidth]{persistentandnonpersistentcsma.png} +\end{center} + +\textbf{p-Persistent CSMA}: +\begin{itemize} + \item Applies to \textit{slotted channels}. + \item When a station becomes ready to send, it senses the channel. + If the channel is idle, then the station will transmit with a probability of $p$. + With a probability of $q$, it defers the next slot. + \item If the next slot is also idle, it transmits or defers again with probabilities of $p$ \& $q$. + \item This process is repeated until the frame either gets transmitted or another station begins + transmission. +\end{itemize} + +\textbf{CSMA with Collision Detection}: +\begin{itemize} + \item An improvement over CSMA protocols is for a station to abort its transmission when it sense a + collision. + \item If two stations sense the channel idle \& begin transmission at the same time, they will both + detect the collision immediately. + There is no point in continuing to send their frames, since they will be garbled. + \item Rather than finishing the transmission, they will stop as soon as the collision is detected, + saving time \& bandwidth. + \item This protocol is widely used. In particular, it is the basis for Ethernet LAN. +\end{itemize} + +\begin{center} + \includegraphics[width=0.7\textwidth]{csmawithcd.png} +\end{center} + +\begin{itemize} + \item At the point marked $t_0$, a station has finished transmitting its frame. + Any other station that has a frame to send may now attempt to do so. + If two or more stations decide to transmit simultaneously, there will be a collision. + Collisions can be detected by looking at the power of the line or at the \textbf{pulse width} of + the received signal \& comparing it with the transmitted signal. + \item After a station detects a collision, it aborts its transmission, and waits a random period + of time before trying again. + Therefore, the CSMA/CD will consist of alternating contention \& transmission periods, with + idle periods occurring when all stations are quiet. + \item The minimum time to detect a collision is two times the time it takes the signal to propagate + from one station to another. + In worst-case scenarios, the two stations can be at the ends of the cable - Therefore, the + minimum time to detect a collision is the round-trip propagation delay for the whole cable + segment. + \item The sending station has to monitor the channel for collision during transmission. + Therefore, CSMA/CD is a \textbf{half-duplex system}. + \item It is important to realise that the collision detecting is an analog process. + The station's hardware must listen to the cable while it is transmitting. + If what it reads back is different to what it sends, then a collision must have occurred. + The implication is that the signal encoding must allow collisions to be detected - i.e., + a collision of two 0V signals will never be detected. + For this reason, a special encoding is used. +\end{itemize} + +\subsubsection{Collision-Free Protocols} +Collisions have an adverse effect on the system performance, especially if the cable is long \& the +frames are short. + +The \textbf{collision-free protocols} solve the contention for the transmission channel without any +collisions at all. + +$N$ stations are assumed to be connected to the same transmission channel. + +Collision-free protocols include: +\begin{itemize} + \item Bit-Map protocol. + \item Binary Countdown. +\end{itemize} + +\begin{center} + \includegraphics[width=0.7\textwidth]{bitmap.png} +\end{center} +\begin{itemize} + \item Each contention period consists of exactly $N$ slots. + If station 0 has a frame to send, then it transmits a slot during the 0\textsuperscript{th} + contention slot. + No other station is allowed to transmit during this slot. + Regardless of what station 0 does, station 1 gets the opportunity to transmit a \verb|1| bit during + contention slot 1, but only if it has a queued frame. + \item After all $N$ slots have passed, each station has complete knowledge of which stations wish to transmit. + At that point, they begin transmitting in numerical order. + Since everyone agrees who goes next, there are no collisions. + \item Protocols like this are called \textbf{reservation protocols}. +\end{itemize} + +\begin{center} + \includegraphics[width=0.7\textwidth]{binarycountdown.png} +\end{center} +\begin{itemize} + \item A problem with bitmap protocols is that the overhead per station is fixed (on bit), therefore + it does not scale well with a large number of stations. + \item In the \textbf{binary countdown protocol}, all stations have the same address length. + If a station wants to use the channel, the station broadcasts its address as a binary string, starting + with the high order bit. + The bits in each address position from each station are \verb|OR|ed together. + This is called \textbf{binary countdown}. + All the stations will see the result of the \verb|OR| operation simultaneously. + For example, if a station that placed a \verb|0| on the channel sees a \verb|1|, then it will stop trying. + A higher-priority station wants to transmit, so it must stop trying. + \item In other words, as soon as a station has seen that a high-order bit in its address with value \verb|0| has + been overwritten with a \verb|1|, it gives up. + \item Imagine the stations \verb|0010|, \verb|0100|, \verb|1001|, \& \verb|1010| are all trying to get the + channel. + The station with the address \verb|1010| gets the channel, as this protocol gives priority to the stations with + higher addresses. +\end{itemize} + +\subsubsection{Wireless LAN Protocols} +\begin{center} + \includegraphics[width=0.7\textwidth]{wirelesslanprotocolsp14.png} +\end{center} +\begin{itemize} + \item It is important to note that in a wireless LAN system, not all stations are within the range of the others. + Due to this, the \textbf{hidden station problem} can occur - When station $A$ transmits, station $C$ can't + sense it and may transmit too, resulting in the frame from station $A$ to station $B$ becoming garbled. + For this reason, a simple CSMA approach will not work for wireless LANs. + \item The reverse problem, called the \textbf{exposed station problem} can also occur. + If $B$ transmits to $A$, and $C$ senses it, $C$ may falsely conclude that it may not send to $D$, when in fact + such a transmission would only cause bad reception in regions between $B$ \& $C$. + \item Before starting a transmission, a station wants to know if there is activity around the receiver. +\end{itemize} + +\begin{center} + \includegraphics[width=0.7\textwidth]{macaprotocol.png} +\end{center} +\begin{itemize} + \item In \textbf{MACA (Multiple Access with Collision Avoidance)}, the sender stimulates the receiver to output + a short packet, so the stations around it will hear it and understand to avoid transmission during the + upcoming (large) data frame. + \item In the above graphic, station $A$ wants to send data to station $B$. + A short exchange of packets \textbf{RTS} (Request To Send) \& \textbf{CTS} (Clear To Send) takes place. + The RTS frame (short frame, < 30 bytes) contains the length of the data frame that is about to be transferred. + This data is copied into the CTS frame by the receiver. + When $A$ receives the CTS frame, it begins the transmission of the data frame. +\end{itemize} + +\subsection{Ethernet} +\subsubsection{Historic Ethernet Cabling} +\begin{center} + \includegraphics[width=0.7\textwidth]{threekindsofethernetcabling.png} +\end{center} +\begin{itemize} + \item In 10Base5, the transceiver \& the interface board are separated. + The interface board goes inside the computer, while the transceiver goes on the cable (close to the vampire tap). + The transceiver contains the electronics that handle the collision detection. + \item In 10Base2, the connection to the cable is just a passive BNCT junction. + The transceiver electronics are situated on the controller board inside the PC. + \item In 10BaseT, there is no shared cable at all, just the hub. + Each station is connected to the hub using a dedicated, non-shared cable. +\end{itemize} + +\subsubsection{The Ethernet MAC Sublayer Protocol} +\begin{center} + \includegraphics[width=0.7\textwidth]{ethernetmacsublayerprotocol.png} +\end{center} + +There are two variants of Ethernet, but the differences are minor and they are interoperable: +\begin{itemize} + \item The initial one: DIX (Initiated by Xerox, Intel, \& DEC). + \item The IEEE 802.3 standard. +\end{itemize} + +Each frame starts with a \textbf{Preamble} of 8 bytes in DIX or 7 bytes in IEEE 802.3, each containing the bit pattern +\verb|10101010|\dots +The Manchester encoding on this pattern produces a 10MHz square wave for 6.4$\mu$s to allow the receiver's clock +to synchronise with the sender. +The clock will stay in sync for the rest of the frame, using the transitions in the middle of the bit boundaries +for adjustment. +The IEEE frame also contains a \textbf{Start Frame Delimiter (SFD)} which signifies that the next byte begins the +Destination MAC Address field. + +In Ethernet addresses, the high order bit distinguishes between normal addresses \& group addresses (\verb|1| for +group, \verb|0| for normal). +This allows multiple stations to listen to one address so that when a frame is sent to a group address, all the +stations in the group receive it. +The second high order bit distinguishes between local \& global addresses (\verb|1| for local, \verb|0| for global). +All \verb|1|s (\verb|ff:ff:ff:ff:ff:ff|) is reserved for the broadcast address. + +The \textbf{type} field in DIX tells the receiver what to do with the frame. +Multiple network protocols could be supported, so this field is unique for each network protocol. +The type field is used to dispatch the incoming frames. +IEEE 802.3 changed the type field to the \textbf{length} field - the type is handled as part off the data itself, +in a small header. +The length field contains the length in bytes of the data, up to 1500 bytes. +There is also a minimum length, related to the collision detection. +The minimum Ethernet frame length is 64 bytes (without the preamble), and if the data portion is less than 46 bytes +(64 - (headers + checksum)), then the PAD field is used to fill the frame to the minimum size. + +The \textbf{checksum} is a 32-bit hash code of the data, computed with the CRC algorithm presented in the Data +Link Layer, and has a 32 order generator polynomial. +This just does error detection, no forward error correction. + +\begin{center} + \includegraphics[width=0.7\textwidth]{ethernetmacsublayerprotocol2.png} +\end{center} + +The strongest reason why there is a minimum length for the Ethernet frame is to allow the CSMA/CD protocol to +work properly. +The collisions should be detected by the transmitting station, or preventing a transmitting station to finish the +transmission of a frame until the first bit reached the far end of the cable, where it may collide with another +frame. + +If we have a collision at time $\tau$, the station $B$ (that detected the collision first), issues a 48-bit noise burst +(known as a \textbf{jam signal}) to warn the other stations. +At about $2\tau$ time, the sender (station $A$) will see the noise burst and abort its transmission too. +$A$ will wait a random amount of time until it tries again. + +For a 2500 meter LAN with 4 repeaters, the round trip time (the propagation time for a signal to travel from one +end of the LAN to the other end of the LAN and back) is about 50$\mu$s. +This is equivalent to about 500 \textit{bit times} (one bit time for a 10Mbps network is 100ns). +Therefore, a station should be in transmit mode for at least 500 bit times, which gives us the minimum Ethernet +frame of about 500 bits. +The standard's choice was 512 bits or 64 bytes minimum per frame. + +Frames with fewer than 64 bytes will be padded out to 64 bytes. +As the network speed goes up, the minimum frame length does too. + +\subsubsection{The Binary Exponential Back-Off Algorithm} +After a collision, the time is divided into discrete slots (equal to the worst-case round-trip propagation time, +which is 521 bits time or 52.2$\mu$s). +After the first collision, each station waits 0 or 1 time slots before it tries again. +If two stations collide, and they pick the same number, they will collide again. + +After a second collision, each station randomly waits 0, 1, 2, or 3 time slots. +After a third collision, the next number of time slots to be picked is between 0 and $2^3 -1 $ and that number of +slots is skipped. +After 10 collisions have been reached, the number interval is frozen at 0-1023. + +After 16 collisions, the station gives up sending the frame and reports the failure. +Further recovery is up to the higher layers. + +\subsubsection{Modern Switched Ethernet} +\begin{center} + \includegraphics[width=0.7\textwidth]{modernswitchedethernet.png} +\end{center} + +If more stations are added onto an Ethernet LAN, the traffic will go up. +Eventually, the LAN will become saturated. + +Switches are typically devices that have 4 to 32 plug-in cars, each with 1 to 8 Ethernet connectors (RJ45)/ +When a station wants to send an Ethernet frame, the plug-in card getting the frame will check to see if the +destination address is one of the cards connected onto one of its ports. +If yes, then the packet is copied onto that port. +If not, then, using a multi-gigabit per second back plane, the frame is copied to the card containing the destination +port. + +\subsubsection{Fast Ethernet} +\textbf{Fast Ethernet} was approved as an IEEE 802.3 micro-standard in 1995. +It keeps all the old frame formats, interfaces, \& procedural rules. +Fast Ethernet reduces the bit time from 100ns to 10ns. + +Fast Ethernet is based on the 10Base-T wiring - It uses only hubs \& switches; drop cables with vampire taps \& +BNC connectors are not possible. +It supports both UTP CAT 3 (for backwards compatibility with pre-installed infrastructure) \& UTP CAT 5 cables. + +\begin{center} + \includegraphics[width=0.7\textwidth]{fastethernetcabling.png} +\end{center} + +Anyone who understands classical Ethernet already understands much about Fast Ethernet. +Fast Ethernet uses the same cabling and access method as 10Base-T. +With certain exceptions, Fast Ethernet is simply regular Ethernet, just ten times faster. + +The most popular form of Fast Ethernet is probably \textbf{100BASE-TX}. +100BASE-TX runs on UTP Category 5 unshielded twisted pair, sometimes called UTP-5. +It uses the same pair \& pin configurations as 10Base-T, and is topologically similar in running from a number of +stations to a central hub. + +As an upgrade to 10Mbps Ethernet over Multimode fibre (10Base-F), 100BASE-FX is Fast +Ethernet over fiber. Distances up to 2km are supported. + +Fast Ethernet is possible on Category 3 UTP with \textbf{100BASE-T4}. +There is a popular misconception that Fast Ethernet will only run on Category 5 cable. +That is true only for 100BASE-TX. +If you have Category 3 cable with all four pairs (8 wires) connected between station and hub, you can still use +it for Fast Ethernet by running 100BASE-T4. + +100BASE-T4 sends 100Mbps over the relatively slow UTP-3 wire by fanning out the signal to three pairs of wire. +This "demultiplexing" slows down each byte enough that the signal won't overrun the cable. +Category 3 cable has four pairs of wire, eight wires total, running from point to point. +10Base-T only uses four wires, two pairs. Some cables only have these +two pairs connected in the RJ-45 plug. +If the category 3 cabling at your site has all four pairs between hub and workstation, you can use Fast Ethernet +by running 100BASE-T4. + +\textbf{100Base-TX} uses only two pairs out of the four available in the UTP cable (one for transmitting and one +for receiving). +For 100Mbps, the waveform frequency would peak at 50MHz, while with Manchester encoding the waveform frequency +would peak at 100MHz. +Category 5 UTP is only rated at 100MHz, so Fast Ethernet would be difficult to implement using Manchester encoding. +100Base-TX uses two encoding techniques: +\begin{itemize} + \item 4B/5B coding schema is used to avoid loss of synchronisation. + \item To decrease the frequency on the UTP cable, MLT-3 (Multiple Level Transition - 3 levels) encoding is used. +\end{itemize} + +\subsubsection{Gigabit Ethernet} + +\section{Data Link Layer} +\subsection{Design Issues} +\subsubsection{Functions of the Data Link Layer} +Functions of the \textbf{Data Link Layer} include: +\begin{itemize} + \item Providing a service interface to the network layer. + \item Dealing with transmission errors. + \item Regulating data flow so that slow receivers are not swamped by fast senders. +\end{itemize} + +To accomplish these functions, the Data Link Layer encapsulates the packets that it gets from the Network Layer into +\textbf{frames} for transmission. +Each frame has a \textbf{header}, \textbf{payload}, and a \textbf{trailer}. +\textbf{Frame Management} forms the heart of what the data link layer does. +\begin{center} + \includegraphics[width=0.5\textwidth]{relationshipbetweenpacketsandframes.png} +\end{center} + +\subsubsection{Services Provided to the Network Layer} +The principle function that the Data Link Layer provides to the Network Layer is to transfer packets from the Network +Layer of the source machine to the Network Layer on the destination machine. + +An entity at the Network Layer of the source machine (a \textbf{process}) hands bits to the Data Link Layer of the source +machine for transmission to the destination machine. +The job of the Data Link Layer is to transmit the bits to the destination machine so that they can be handed over to the +Network Layer of the destination machine as shown in figure (a) below. +This is called \textbf{virtual communication}. +In reality, the data actually follows the path showed in figure (b) below. +However, it is easier to think about the two Data Link Layer processes communicating using the Data Link Protocol. +\begin{center} + \includegraphics[width=0.5\textwidth]{servicesprovidedtonetworklayer1.png} +\end{center} + +The Data Link Layer can provide the following types of services: +\begin{itemize} + \item \textbf{Unacknowledged Connectionless Service:} + \begin{itemize} + \item No acknowledgement by the destination DLL. + \item Good for reliable services with a low error rate, such as radio - speech where data loss is + not important. + \end{itemize} + \item \textbf{Acknowledged Connectionless Service:} + \begin{itemize} + \item All frames are acknowledged individually. + \item The frame is resent if there is no response within a specified time. + \item Good for unreliable channels such as optical fibre. + \end{itemize} + \item \textbf{Acknowledged Connection-Oriented Service:} + \begin{itemize} + \item Most complex. + \item Most reliable - establish a connection, transmit and acknowledge numbered frames. + \item Three stages: 1) Set up link, 2) Transfer data, 3) Disconnect. + \end{itemize} +\end{itemize} + +Consider a WAN subnet consisting of routers connected by point-to-point leased lines. +When a frame arrives at the router, the hardware checks to see if the frame is error-free, and then passes the frame on +to the Data Link Layer. +The Data Link Layer checks to see that the frame is the expected frame (frame number, sequence, etc.) and if so, it +delivers the payload contained in the payload to the routing software (Network Layer). +The routing software then chooses the appropriate outgoing line and passes the packet back down to the data link layer +software, which transmits it. + +It is up to the Data Link Layer to make sure that unreliable communication lines look perfect, or at least good, to the +Network Layer. +\begin{center} + \includegraphics[width=0.6\textwidth]{placementofthedatalinkprotocol.png} +\end{center} + +\subsubsection{Framing} +\begin{center} + \includegraphics[width=0.6\textwidth]{framing1.png} +\end{center} + +\textbf{Flag bytes with byte stuffing} is a method which solves the problem of re-synchronisation after an error by +having each frame start \& end with special bytes. +A special character called a \textbf{flag byte} is used to show the start \& end of the frame. +Two consecutive flag bytes indicate the end of one frame \& the beginning of the next one. +If the receiver is losing sync, then it will look for the flag byte. + +If binary data is sent, then the flag byte can appear within the data. +One way to deal with this problem is to have the sender insert a special character called \verb|ESC| before each +``accidental'' occurrence of the \verb|FLAG| byte. +The Data Link Layer on the receiving end will remove the \verb|ESC| characters before delivering the payload to the +Network Layer. +This process is called \textbf{Byte Stuffing}. + +\begin{center} + \includegraphics[width=0.6\textwidth]{framing2.png} +\end{center} +Byte stuffing, however, does not allow any arbitrary number of bits in the frame, but a multiple of 8 bits. +To allow any number of bits in the frame, a different framing schema is used: \textbf{bit stuffing}. + +In bit stuffing, each frame starts \& ends with a special bit pattern: \verb|01111110|. +Whenever the Data Link Layer on the sender encounters five consecutive \verb|1|s in the bit stream, it will automatically +insert (``\textbf{stuff}'') a \verb|0| bit into the outgoing bit stream. +On the receiver, when five consecutive \verb|1|s followed by a \verb|0| are encountered, the \verb|0| is automatically +remove (``\textbf{destuffed}''). +The process is transparent to the Network Layer in both computers. +If six \verb|1|s are received, that means that the start or the end of the frame has been reached. + +Usually, a combination of bit-stuffing \& byte-stuffing is used. + +\subsubsection{Error Control} +Frames may be received incorrectly, so the receiver provides some feedback to the sender - acknowledgement of receiving a frame. +However, a frame may disappear entirely, so this is dealt with by introducing timers that expire if no \verb|ACK| (acknowledgement) +is received, triggering re-transmission. +A single frame could also be received several times, instead of just once. +This is dealt with by assigning frame sequence numbers to outgoing frames so that the receiver can distinguish retransmissions +from the originals. + +Managing the timers \& sequence numbers so as to ensure that each frame is passed to the Network Layer at the destination +exactly once (no more, no less) is an important part of the duties of the Data Link Layer. + +\subsubsection{Flow Control} +\textbf{Feedback-based flow control} is a type of flow control in which the receiver sends back information to the sender +giving it permission to send more data. +The sender is not allowed to send any data if the receiver does not allow it. + +\textbf{Rate-based flow control} is a type of flow control in which the sender has a built-in mechanism that limits the +speed at which the data is set, without getting feedback from the receiver, i.e., the maximum amount of data sent in one +second can be negotiated. + +\subsection{Error Detection \& Correction} +Transmission errors are very often present over analog loops (local loops). +They are also present in the digital data, so therefore, mechanisms to deal with transmission errors must be in place. + +\textbf{Error-detecting codes} include enough redundancy to allow the receiver to realise that an error has occurred, +but not \textit{which} error. +Typically, the receiver requests a re-transmission. +Error-detecting codes are useful on channels with low probability of error (such as optical fibre) because it is +cheaper (in terms of wasted bandwidth) to resend a frame every now \& then rather than including redundant information +in every transmitted frame. + +\textbf{Error-correcting codes} include enough redundancy to allow the receiver to deduce what the transmitted data +must have been. +This is also called \textbf{forward error correction}. +Forward error detection is more useful on transports that are exposed to errors (such as wireless transports). + +A \textbf{frame} consists of: +\begin{itemize} + \item $m$ data bits (message). + \item $r$ redundant bits (check bits). +\end{itemize} + +$n = m + r$ is referred to as the $n$-bit codeword. +For any two codewords, it is possible to determine how many bits differ by bitwise \verb|XOR|ing the two codewords. +The number of bit positions in which two codewords differ is called the \textbf{Hamming distance}. +The significance of the Hamming distance is that if two codewords are a distance $d$ apart, then it will require $d$ single +bit errors to convert one into the other. + +In most data transmission applications, $2^m$ messages are possible, but not all of the $2^n$ possible codewords are +used. +The two codewords whose Hamming distance is the smallest give the Hamming distance of the complete code. + +To \textit{detect} $d$ errors, you need a $d+1$ distance code, because with such a distance, there is no chance that $d$ single +bit errors will change one valid code into another valid code. + +To \textit{correct} $d$ errors, you need a $2d+1$ distance code. +The legal codewords are so far apart that even with $d$ changes, the original codeword is still closer than any other +codeword, so it can be uniquely determined. + +\textbf{Error Detection - Parity:} +\begin{itemize} + \item A single \textbf{parity bit} is appended to the data. + \item If the number of the \verb|1| bits in the codeword is even, then the parity bit is \verb|0| (in an even + parity system). + \item A code with a single parity bit has a distance of 4, as any single bit error produces a codeword with the + wrong parity. + \item This can be used to detect single errors. + \item In \textbf{even parity}, \verb|1001| becomes \verb|10010|. + In \textbf{odd parity}, \verb|1001| becomes \verb|10011|. +\end{itemize} + +\textbf{Error Detection Code Example:} +\begin{itemize} + \item Consider a code with only four valid codewords: \verb|0000000000|, \verb|0000011111|, \verb|1111100000|, + \verb|1111111111|. + \item This code has a Hamming distance of 5, which means that it can correct double errors. + If the codeword \verb|0000000111| arrives, then the receiver will know that the original codeword must have + been \verb|0000011111|. + \item If a triple error changes the original codeword \verb|000000000| into \verb|000000111|, then the error will + not be corrected properly. +\end{itemize} + +If we simply add parity bits to frames, this is OK for single-bit errors, but if a single, long burst of noise garbled +the frame, then the probability of detecting the error would be 0.5, which is unacceptable. + +If we organise the frame in a $m$ by $k$ matrix, and append a parity bit to each column and send each line, (i.e., the parity +bit is computed separately for each column and affixed to the matrix as a final row), we can detect burst errors of +length $m$. +However, if an $m+1$ burst error occurs, and only the first \& last bits are changed, it will go undetected. + +Consider a channel whose error rate is $10^{-6}$ per bit (i.e., one error bit every one million bits). +Let the block size be 1,000 bits, and assume that we could have a Hamming code with 10 check bits (meaning that every +frame will contain 1010 bits instead of 1,000 bits). +To detect that one frame had an error out of 1,000 frames (to achieve one megabit of data, so the error will occur), we +have to send 10,000 bits of redundant data. + +To detect that one frame had an error, it would have been enough to actually append one parity bit to each frame. +Every 1,000 frames, one 1,001 bit frame would need to be retransmitted. +The extra traffic in this case would be 2,001 bits (when an error detection schema would be used) versus about 10,000 +bits if an error detection schema was used. +Note that a burst error does not necessarily imply that all of the bits are wrong, just that at least some of the bits +are wrong. + +\subsubsection{Cyclic Redundancy Check} +\textbf{Cyclic Redundancy Check (CRC)}, also known as \textbf{polynomial code} is an error-detecting method in which +bit strings are treated as representations of polynomials with coefficients of 0 \& 1 only. +For instance, the frame \verb|110001| is represented by the polynomial $x^5+x^4+1$. +Polynomial arithmetic is done modulo 2. +There are no carries for addition nor borrows for subtraction. +Both addition \& subtraction are identical to a \verb|XOR| operation. +Division is carried out in the same way as in binary, except that the subtraction is done modulo 2. + +The sender \& the receiver must agree upon a generator polynomial $G(x)$ in advance. Both the low \& high order bits of +the generator should be \verb|1|. +For a frame with $m$ bits, with corresponding polynomial $M(x)$, the frame must be longer than the generator polynomial. +The idea is to append a checksum to the end off the frame in such a way that the polynomial represented by the checksummed +frame is divisible by the generator polynomial $G(x)$. +At the other end, the receiver would divide the received frame (checksummed) by $G(x)$, and if the remainder was not 0, +then an error condition had occurred. + +The CRC algorithm is as follows: +\begin{enumerate} + \item $r$ is the \textbf{degree} of $G(x)$. + Append $r$ \verb|0| bits to the frame, so that it now contains $m+r$ bits and corresponds to the polynomial + $x^rM(x)$. + \item Divide the bit string corresponding to $x^rM(x)$ to the bit string corresponding to $G(x)$, using modulo 2 + division. + \item Subtract the remainder from the bit string corresponding to $x^rM(x)$ using modulo 2 subtraction. + The result is the checksummed frame to be sent, with corresponding polynomial $T(x)$. +\end{enumerate} + +In base ten, if you divide 5,430 by 1,000, you obtain the remainder 432. +It is obvious that if you subtract 432 from 5,432, you obtain a result that is divisible by your divisor (1,000). +The same idea is used in binary to obtain the checksummed frame $T(x)$ that should be divisible by $G(x)$. + +\begin{center} + \includegraphics[width=0.8\textwidth]{errordetectingcodes5.png} +\end{center} + +If a transmission error occurs, then instead of $T(x)$, the receiver will have $T(x) + E(x)$. +Each \verb|1| in $E(x)$ corresponds to a bit that has been inverted. +If there are $k$ bits in $E(x)$, then there will be $k$ single-bit errors. + +$G(x)$ is chosen to be a large, prime polynomial to be able to catch as many errors as possible. +Certain polynomials have become standard. + +\subsection{Data Link in Internet} +The Internet consists of individual machines (hosts \& routers), plus the communication infrastructure that connects +them. +Some of the machines are interconnected using LANs, and some are interconnected using point-to-point lines (especially +the ones that are far apart). + +\begin{center} + \includegraphics[width=0.7\textwidth]{thedatalinklayerintheinternet.png} +\end{center} + +\newpage +\subsubsection{Point-to-Point Protocol (PPP)} +\textbf{Point-to-Point Protocol (PPP)} provides three features: +\begin{itemize} + \item A framing method; The frame format also handles error detection. + \item A link control protocol called \textbf{Link Control Protocol (LCP)}. + \item A way in which to negotiate specific options that is independent of the Network Layer Protocol being used. + The method chosen must have a different NCP (Network Control Protocol) for each network layer supported. +\end{itemize} + +PPP handles error detection, supports multiple protocols, allows IP addresses to be negotiated at connection time, +and permits authentication (using two methods - PAP \& CHAP). + +\section{TCP/IP Network Layer} +\begin{center} + \includegraphics[width=0.5\textwidth]{thenetworklayerintheinternet.png} +\end{center} + +\begin{center} + \includegraphics[width=0.5\textwidth]{internet-collectionofsubnets.png} +\end{center} + +\subsection{The IP Protocol} +The \textbf{Internet Protocol (IP)} provides a best-efforts (not guaranteed) way to transport datagrams from source to +destination. +It is the glue that holds the Internet together. +The workflow is as follows: +\begin{enumerate} + \item The Transport Layer takes the data streams and breaks them up into datagrams. + In theory, they can be up to 64kB, but in practice, they are usually no more than 1,500 bytes (because the MTU (Maximum + Transport Unit) for Ethernet is 1,500 bytes). + \item Each datagram is transmitted through the Internet (possibly being fragmented into smaller pieces as it goes). + \item When all pieces get to the destination machine, they are re-assembled by the Network Layer into the original + datagram. + \item This datagram is handed to the Transport Layer, which inserts it into the receiving process input stream. +\end{enumerate} + +\begin{center} + \includegraphics[width=0.7\textwidth]{formatoftheipdatagram.png} +\end{center} + +\subsection{IP Addressing} +In IPv4, an Internet address is made of 4 bytes (32 bits) that define a host's connection to a network. + +\begin{center} + \includegraphics[width=0.5\textwidth]{ipaddressing.png} +\end{center} + +There are three fields of variable sizes (dependent on the class of the address): +\begin{itemize} + \item The Class Type field defines the class (5 possible classes that an internet address is part of). + \item Network ID - Up the class type, this field can be anywhere between 7 \& 24 bits. + \item Host ID - Up to the class type, it can be anywhere between 8 \& 24 bits. +\end{itemize} + +ICANN (Internet Corporation for Assigned Names \& Numbers) is a non-profit corporation that manages the assignment of IP address +space to various regional authorities that deal with IP address assignment. + +\begin{center} + \includegraphics[width=0.7\textwidth]{internetclasses.png} +\end{center} + +\textbf{Dotted Decimal Notation} is used to make the form of IP addresses shorter \& easier to read. +Internet addresses are usually written using this form. +Looking at the first byte of an address in decimal form will allow us to determine to which class the particular address belongs. +In this example, it belongs to class B. + +\begin{center} + \includegraphics[width=0.7\textwidth]{dotteddecimalnotation.png} +\end{center} + +\begin{center} + \includegraphics[width=0.7\textwidth]{classrangesforinternetaddresses.png} +\end{center} + +\begin{center} + \includegraphics[width=0.7\textwidth]{specialipaddresses.png} +\end{center} + +Packets sent to \textbf{Loopback} addresses are not sent over the wire; they are treated as incoming packets and processed +locally. +They are very useful for testing/debugging a TCP/IP stack. + +As we have seen, all addresses on the Internet have a network ID \& a host ID; this means that there is a +hierarchy in IP addressing. +To reach a specific host, first we must reach the network that this host is part of, using the first +portion of the address; then we will reach the host itself using the second portion of the IP address. +Then, classes A, B, \& C in IP addressing are designed with two levels of hierarchy. + +Consider a large organisation (such as the University of Galway), with class B addresses (\verb|140.203.0.0|). +With a two-level addressing schema, the organisation cannot have more than one physical network. +Solution: allow \textbf{subnets}, allowing a network to be split into several parts for internal use, but +still act as a single network to the outside world. + +\subsection{IP Subnet Design} +\begin{center} + \includegraphics[width=0.7\textwidth]{subnets1.png} +\end{center} + +Instead of having a single class B address with 14 bits for network and 16 bits for host number, some bits are +taken away from the host number to create a subnet number. + +For example, if the university (a large organisation) has 35 departments, it could use 6 bits for the subnet +number and a 10 bit host number, allowing for up to 64 Ethernets, each with a maximum of 1022 hosts (all \verb|0|s +\& all \verb|1|s are not allowed); this split can later be changed if it proves to be inappropriate. + +To implement subnetting, the main router will need a subnet mask that indicates the split between network + +subnet number and host number. +The masking process extracts the address of the physical network from an IP address by bitwise \verb|AND|ing +the IP \& the mask; masking can be done regardless of whether or not we have subnetting. +The subnet mask is also written in dotted decimal notation or as a slash followed by the number of bits in +the network. + +Subnetting is not visible outside of the network, so allocating a new subnet does not require contacting any official +organisation that assigns IP addresses or changing any external databases. + +\begin{center} + \includegraphics[width=0.7\textwidth]{masking.png} +\end{center} + +IP is running out of addresses. +Class A networks (with 16 million host addresses) are too big for most organisations. +Class C networks (with 256 host addresses) are too small for most organisations. +Class B networks (with 65,5536 host addresses) are what's commonly used for a medium-sized organisation, but in reality, they +are too large for most organisations. +Studies show that half of all Class B networks have less than 50 hosts. + +There are two solutions to cope with this shortage problem: +\begin{itemize} + \item Use of Classless InterDomain Routing (CIDR). + \item Use of Network Address Translation (NAT). +\end{itemize} + +\subsubsection{CIDR (Classless InterDomain Routing)} +The basic idea of CIDR is to allocate the remaining IP addresses in variable-sized blocks, without regard to the classes. +If a site needs, say 2,000 addresses, it is given a block of 2,048 addresses on a 2,048-byte boundary. +Dropping classes makes the routing more complicated and means that the old routing algorithm no longer works. + +The old routing algorithm was as follows: +\begin{enumerate} + \item An incoming packet comes to the router (e.g., with destination address 140.203.8.22). + \item The router extracts the destination IP address and shifts a copy of it 28 bits to the right to obtain a 4-bit class number + (e.g., 1,000). + \item A 16-way branch sorts the packet into A, B, C, D, \& E (if supported). + (8 cases for Class A, 4 cases for Class B, 2 cases for Class C, and 1 case each for Classes D \& E). + \item Once the router knows the class (e.g.m B), it will know what mask to apply (e.g., a 16-bit mask or 255.255.0.0) + in order to find out the network address (140.203.0.0) and look it up in the appropriate class routing tables (e.g., Class + B routing tables) to find the outgoing physical line. +\end{enumerate} + +The new routing algorithm is as follows: +\begin{enumerate} + \item Each routing table entry is extended by giving it a 32-bit mask. + \item There is now a single routing table for all networks consisting of \textbf{triplets} (net IP address, subnet mask, outgoing line). + \item When a packet comes in, its destination address is first extracted. The routing table is scanned entry by entry to find a match. + It is possible to find multiple entries, so the one with the longest mask is used (e.g., between a \verb|/20| \& \verb|/24| entry, \verb|/24| is used). + \item The packet is then forwarded on the outgoing line. +\end{enumerate} + +Commercial VLSI chipsets for routers have been developed using this new algorithm in order to speed up the address-matching process. + +\subsubsection{NAT (Network Address Translation)} +\textbf{Network Address Translation (NAT)} comes into play whenever there is a need a for more hosts than there are real IP addresses available. +For example, an ISP may have a class B address, having 65,534 possible hosts, but has more customers than that. +The basic idea of NAT (RFC 3022) is to assign each company a \textit{single IP address} (or a small number of them) for Internet traffic. +Within the company, each computer gets a unique IP address, which is used for routing internal traffic. +When a packet exits the company and goes to the ISP, an \textbf{address translation} takes place. + +To make this possible, three ranges of IP addresses have been declared as \textbf{private}, meaning that companies may use them internally as they wish. +The only rule is that no packets containing these addresses may appear on the internet itself. + +\begin{center} + \includegraphics[width=0.7\textwidth]{nat.png} +\end{center} + +\begin{center} + \includegraphics[width=0.7\textwidth]{natoperation.png} +\end{center} + +Problems with NAT include: +\begin{itemize} + \item NAT violates the architecture of the IP model, which states that every host worldwide should be identified by a unique IP. + \item NAT changes the Internet from a connectionless network to a kind of connection-oriented network. + \item NAT violates the most elementary rule of protocol layering which is that layer $k$ should not make any assumption about what layer $k+1$ will put in the payload. + \item NAT will not work with any protocols on the Internet besides TCP \& UDP. + \item Some applications (e.g., MS Messenger) insert the IP address into the text (payload). The receiver will extract these addresses and use them. NAT will not work with these applications because it does not know about + the insertion. +\end{itemize} + +\subsection{Internet Control Protocols} +\subsubsection{ICMP (Internet Control Message Protocol)} +\textbf{Internet Control Message Protocol (ICMP)} is used to report something unexpected. +Each ICMP message is encapsulated in an IP packet. +ICMP messages are used to test the Internet. + +\begin{itemize} + \item \verb|Destination Unreachable| - Packet could not be delivered. + Used when the subnet or a router cannot locate the destination or when a packet with DF bit set cannot be delivered because a ``small packet'' network stands in the way. + \item \verb|Time Exceeded| - Time to live field hit 0. + Sent when a packet is dropped because its counter reached zero - this event is a symptom that packets are looping, or that there is enormous congestion, or the timer values were set too low. + \item \verb|Parameter Problem| - Invalid header field. + Indicates that an illegal value has been detected in a header field, which implies a bug in the sender's IP software or possibly in the transited routers. + \item \verb|Source Quench| - Choke packet. + This message used to slow down stations that were sending too many packets, but it is not used anymore as these packets tend to throw more fuel on the fire when congestion occurs. + Congestion control is now done in the Transport Layer. + \item \verb|Redirect| - Teach a router about geography. + Used when a router notices that packets seem to be routed wrong to tell the sending host about the probable error. + \item \verb|Echo Request| - Ask a machine if it is alive. + Used to see if a given destination is reachable \& alive - Upon receiving the \verb|Echo Request|, the receiving station is supposed to answer with an \verb|Echo Reply| message. + \item \verb|Echo Reply| - ``Yes, I am alive''. + Upon receiving an \verb|Echo Request|, the receiving station is supposed to answer with an \verb|Echo Reply| message. + \item \verb|Timestamp Request| - Same as \verb|Echo Request|, but with timestamps. + The arrival time of the \verb|Timestamp Request| \& the departure time of the \verb|Timestamp Reply| are recorded in the reply. + Used to measure network performance. + \item \verb|Timestamp Reply| - Same as \verb|Echo Reply|, but with timestamps. + The arrival time of the \verb|Timestamp Request| \& the departure time of the \verb|Timestamp Reply| are recorded in the reply. + Used to measure network performance. +\end{itemize} + +\subsubsection{ARP (Address Resolution Protocol) \& RARP (Reverse Address Resolution Protocol)} +\textbf{Address Resolution Protocol (ARP)} is a Network Layer protocol which is required to allow a sending station gather address information for use in forming a Layer 2 frame, complete with destination +\& source MAC addresses. +Although ARP is a Layer 3 protocol, it does not use an IP header: it has its own packet format and is broadcast on the local LAN within the data field of a Layer 2 (Ethernet) frame, without needing to be +routed. +The Ethernet Type field uses the value \verb|0x0806| to indicate an \textbf{ARP request} and \verb|0x0835| to indicate an \textbf{ARP response}. + +If a station does not know its IP address, it may send out a \textbf{Reverse Address Resolution Protocol (RARP)} request and read by a RARP server, which has a table of hardware addresses \& IP addresses. +RARP uses the same packer format as ARP. + +Most hosts on a network will send out a \textbf{Gratuitous ARP} when they are initialising their IP stack. +This Gratuitous ARP is an ARP request for their own IP address, and is used to check for a duplicate IP address. +If there is a duplicate address, then the stack does not complete initialisation. + +Every router maintains a table listing IP addresses and respective hardware addresses (i.e., MAC addresses) of devices that exist on the network. +This table is called an \textbf{ARP cache} and is referenced by the router when it is looking up a hardware address of a device for which it knows the IP address and needs to forward a datagram to it. +If no hardware address is found in the ARP cache then an ARP broadcast is sent on to the adjacent media (ARP only applies to the connecting wire). +This broadcast is read by every station including the destination station. +The destination station sends back an ARP reply with its hardware address so that the IP datagram can now be forwarded to it by the router. + +% not sure what exactly this section even means tbh +Given a Data-Link address (i.e., an Ethernet address), what is the corresponding Net address (IP address): +\begin{itemize} + \item RARP uses a broadcasting destination address of all \verb|1|s, so a RARP server must be in each network. + \item BOOTP uses UDP messages, so they will be forwarded over routers. + BOOTP is specifically designed for diskless stations, so it provides addition information, such as the IP of the file server holding the operating system image, etc. + BOOTP requires manual configuration of the tables mapping the IP addresses with Ethernet addresses. + \item DHCP (Dynamic Host Configuration Protocol) is a special server that allows automatic \& manual IP assignment. + DHCP may require a DHCP relay agent on the local networks, so the DISCOVER packet would be forwarded outside the local LAN. +\end{itemize} + +\newpage +\subsection{IPv6} +CIDR \& NAT may buy IPv4 a few more years, but its days are numbered. +In 1990, IETF started to work on IPv6, with the following goals: +\begin{itemize} + \item Support billions of hosts. + \item Reduce the size of the routing tables. + \item Simplify the protocol to allow routers to process faster. + \item Provide better security (authentication \& privacy) than IPv4. + \item Pay more attention to the type of service for real-time data. + \item Aid multi-casting by allowing scopes to be specified. + \item Make roaming possible without a change of address. + \item Allow protocol expansion. + \item Permit the old \& new protocols to co-exist for years. +\end{itemize} + +Features of IPv6 include: +\begin{itemize} + \item 16-byte IP addresses. + \item Header simplification - the IPv6 header contains only 7 fields, compared to 13 fields in IPv4. + \item Better support for options - the way that options are represented is different in IPv6, making it simple for routers to skip over any options not intended for them, speeding up processing in the routers. + \item Improved security features - authentication \& privacy are key features of the IPv6 protocol. + \item Better handling of quality of service. +\end{itemize} + +\begin{center} + \includegraphics[width=0.7\textwidth]{ipv6header.png} +\end{center} +\begin{itemize} + \item \verb|Version| is always \verb|6| for IPv6 and \verb|4| for IPv4. + Routers are able to examine this field and process the packet accordingly. + \item \verb|Traffic Class| is used to distinguish between packets with different real-time delivery requirements. + \item \verb|Flow Label| is an experimental field, used to allow a source \& destination to set up a pseudo-connection with particular properties \& requirements, e.g., a stream of packets on a certain + source host to a certain destination host may have stringent requirements, and thus need reserved bandwidth. + The flow can be set up in advance and given an identifier. + When a packet with a non-zero flow label gets to a router, the router will lookup the its tables to determine what kind of special treatment it requires. + In effect, the flow label is an attempt to have it both ways: the flexibility of a datagram subnet \& the guarantees of a virtual circuit subnet. + Many flows could be active at the same time between two given IP addresses. + \item \verb|Payload Length| is the number of bytes that follow the 40-byte header of the packet. + The 40-byte header is no longer counted in the length of the packet. + \item \verb|Next Header| - There can be optional extra headers in a packet. + This field tells which (if any) of the currently supported six extension headers follow this header. + If this header is the last IP header the \verb|Next Header| field tells us which transport protocol (such as TCP, UDP, etc.) to pass the packet to. + \item \verb|Hop Limit| is used to keep packets from hopping forever and is practically the same as the \verb|Time to Live| field in the IPv4 header. + \item The \verb|Source Address| \& \verb|Destination Address| are each 16 bytes - 8 groups of 4 hexadecimal digits, with colons between the groups. +\end{itemize} + +Differences between IPv4 \& IPv6 include: +\begin{itemize} + \item The \verb|Protocol| field was taken out because the \verb|Next Header| field tells us what follows the last IP header (i.e., a UDP or TCP segment). + \item The \verb|Fragmentation| fields were removed as IPv6 hosts are expected to dynamically determine the datagram size to use. + The minimum has been raised from 576 to 1280 to allow 1024 bytes of data and many header. + If an IPv6 host sends too large a packet, the routers will issue an error message which tells the host to break up all future packets to that destination. + \item The \verb|Checksum| field does not exist in IPv6 because calculating it greatly reduces performance and as the Transport Layer has its own checksum, it doesn't make sense to do it twice. +\end{itemize} + + +\begin{center} + \includegraphics[width=0.7\textwidth]{ipv6extensionheaders.png} +\end{center} + +\begin{center} + \includegraphics[width=0.7\textwidth]{ipv6extensionheaders2.png} +\end{center} + +\begin{center} + \includegraphics[width=0.7\textwidth]{ipv6addresstypes.png} +\end{center} + +\begin{center} + \includegraphics[width=0.7\textwidth]{ipv6addressexample.png} +\end{center} + +\begin{center} + \includegraphics[width=0.7\textwidth]{ipv6addressstructure.png} +\end{center} + +\begin{center} + \includegraphics[width=0.7\textwidth]{ipv6addressenduserallocation.png} +\end{center} + +\begin{center} + \includegraphics[width=0.7\textwidth]{commonipv6allocations.png} +\end{center} + +\section{Transport Layer} +\subsection{Transport Layer Protocols} +\begin{center} + \includegraphics[width=0.7\textwidth]{thebigpicture.png} +\end{center} + +The Internet has two main protocols at the Transport Layer: +\begin{itemize} + \item Connectionless Protocol: \textbf{User Datagram Protocol (UDP)}. + \item Connection-Oriented Protocol: \textbf{Transport Control Protocol (TCP)}. +\end{itemize} + +It also has: +\begin{itemize} + \item Internet Control \& Messaging Protocol (ICMP). + \item Internet Group Management Protocol (IGMP) - used for multicast addressing. +\end{itemize} + +\subsection{UDP} +\textbf{User Datagram Protocol (UDP)} is a simple Transport Layer protocol described in RFC 768. +In essence, it is just an IP datagram with a short header. + +UDP provides a way to send encapsulated raw IP datagrams without having to establish a connection. +The application writes a datagram to a UDP socket, which is encapsulated as either a IPv4 or IPv6 datagram that is sent to the destination. +Many client-server applications that have one request \& one response use UDP. +There is no guarantee that the UDP datagram ever reaches its final destination. + +Each UDP datagram has a length: If a UDP datagram reaches its final destination correctly, then the length of the datagram is passed onto the receiving application. + +UDP provides a \textbf{connectionless} service, as there is no need for a long-term relationship between a client \& the server. +For example, a UDP client can create a socket and send a datagram to a given server, and then immediately send another datagram on the same socket to a different server. +Similarly, a UDP server can receive multiple datagrams from different sources on the same UDP socket. + +UDP does not do flow control, error control, or retransmission upon receipt of a bad segment. +UDP provides an interface to the IP protocol, with the added feature of de-mulitplexing multiple processes using the ports. + +One area in which UPD is useful is client-server situations where the client sends a short request to the server and expects a short reply. +If the request or reply is lost, the client can timeout and try again. +UDP is widely used in client-server RPC and in real-time multimedia applications. + +\textbf{Domain Name System (DNS)} is an application that uses UDP. +DNS is used to look up the IP address of some host name. +DNS sends a UDP packet containing the host name to a DNS server, and the server replies with a UDP packet containing the host IP address. +No setup is needed in advance, and no release of a connection is required. +Just two messages go over the network. + +\subsubsection{UDP Segment Header} +A UDP segment consists of an 8-byte header followed by the data. + +\begin{center} + \includegraphics[width=0.7\textwidth]{udpheader.png} +\end{center} + +The \verb|Source port| \& the \verb|Destination port| identify the end points within the source \& destination machines. +Without the port fields, the Transport would not know what to do with the packet. +The \verb|UDP length| field includes the 8-byte header \& the data. +The \verb|UDP Checksum| includes the 1's complement sum of the UDP data \& header. +It is optional, and if not computed, it should be stored as all 0s. + +\subsection{TCP Protocol} +\textbf{Transmission Control Protocol (TCP)} provides a reliable end-to-end byte stream over unreliable internetwork connections (different parts may have different topologies, bandwidths, delays, packet sizes, etc...). +Each machine supporting TCP has a TCP transport entity (user process or part of the kernel) that manages TCP streams and interfaces to the IP layer. + +TCP accepts user data streams from local processes, breaks them into pieces no larger than 64KB, and sends each piece as a separate IP datagram. +At the receiving end, the IP datagrams that contain TCP packets are delivered to the TCP transport entity, which reconstructs the original byte stream. +The IP layer gives no guarantee that the datagrams will be delivered properly, so it is up to TCP to time out and retransmit them as the need arises. +Datagrams that arrive to the TCP transport entity may be in the wrong order - it is up to TCP to re-assemble them into messages in the proper sequence. + +\subsubsection{The TCP Service Model} +The TCP Service Model provides \textbf{connections} between clients \& servers. +Both the client \& the server create end points called \textbf{sockets}. +Each socket has a number (address) consisting of the IP address of the host \& a 16-bit number, local to that host, called a \textbf{port} (which is the TCP name for a TSAP). + +To obtain a TCP service, a connection must be explicitly established between two end points. +A socket may be used for multiple connections at the same time. +Two or more connections can terminate in the same socket, as connections are identified by socket identifiers at both ends, i.e. \textit{socket1,socket2}. + +TCP provides \textbf{reliability}: When TCP sends data to a destination, it requires acknowledgements in return. +If \verb|ACK| is not received, the TCP entity re-transmits the data automatically and waits a longer amount of time. + +TCP contains algorithms to estimate the \textbf{round-trip time} between a client \& a server to dynamically know how long to wait for an acknowledgement. +TCP provides \textbf{flow control} - it tells its peer exactly how many bytes that it is willing to accept. + +Port numbers below 1024 are called \textbf{well-known ports} and are reserved for standard services, e.g.: +\begin{itemize} + \item Port 21 is used by FTP (File Transfer Protocol). + \item Port 22 is used by SSH (Secure SHell). + \item Port 23 is used by Telnet. + \item Port 25 is used by SMTP (Simple Mail Transfer Protocol). + \item Port 69 is used by TFTP (Trivial File Transfer Protocol). + \item Port 80 is used by HTTP (HyperText Transfer Protocol). + \item Port 443 is used by TLS (Transport Layer Security). +\end{itemize} + +All TCP connections are \textbf{full duplex} and point-to-point. +TCP does not support multicasting or broadcasting. +A TCP connection is a \textbf{byte steam}, not a message stream, meaning that message boundaries are not preserved, e.g., if a process does four writes of 512 bytes to a TCP stream, data may be delivered +at the other end as four 512-byte reads, two 1024-byte reads, or one 2048-byte read. + +\begin{center} + \includegraphics[width=0.7\textwidth]{tcpservicemodel3.png} +\end{center} + +When an application sends data to TCP, the TCP entity may send it immediately or it may buffer it in order to collect a larger amount of data to send all at once. +Sometimes, the application really wants the data to be sent immediately (e.g., after a command line has been finished). +To do this \& force the data out, applications can use the \verb|PUSH| flag, which tells TCP not to delay transmission. + +\textbf{Urgent Data} is a way of sending some urgent data from one application to another over TCP. +For example, when an interactive user hits \verb|CTRL+C| to break off the remote computation, the sending app puts some control info into the TCP stream along with the \verb|URGENT| flag. +This causes TCP to stop accumulating data and send everything that it has for that connection immediately. +When the urgent data is received at the destination, the receiving application is interrupted (by sending a UNIX break signal), so that it can read from the data stream to find the urgent data. + +\subsubsection{The TCP Protocol Overview} +Each byte on a TCP connection has its own 32-bit sequence number, which is used for various purposes such as the re-arrangement of out-of-sequence segments, identification of duplicate segments, etc. +Sending \& receiving TCP entities exchange data in the form of \textbf{segments}. +A segment consists of a fixed 20-byte fixed header (plus an optional part), followed by zero or more data bytes. + +The TCP software decides how big segments should be. +It can accumulate data from several writes to one segment or split data from one write over multiple segments. +Two limits restrict the segment size: +\begin{itemize} + \item Each segment, including the TCP header, must fit the 65,535-byte IP payload. + \item Each network has a Maximum Transfer Unit (MTU) and each segment must fit in the MTU. + In practice, the MTU is a few thousand bytes, and therefore sets the upper bound on the segment size. +\end{itemize} + +The basic TCP protocol is a sliding-window protocol: +\begin{itemize} + \item When a sender transmits a segment, it also starts a timer. + \item When the segment arrives at the destination, the receiving TCP sends back a segment (with data, if any data is to be carried), bearing an acknowledgement number equal to the next sequence number + it expects to receive. + \item If the sender's timer goes off before an acknowledgement has been received, the segment is re-sent. +\end{itemize} + +Problems with the TCP protocol include: +\begin{itemize} + \item Segments can be fragmented on the way, which may result in parts of a segment arriving, but others getting lost. + \item Segments can be delayed, and duplicates can arrive at the receiving end. + \item Segments may hit a congested or broken network along their path. +\end{itemize} + +\subsubsection{The TCP Segment Header} +\begin{center} + \includegraphics[width=0.7\textwidth]{tcpsegmengtheader.png} +\end{center} + + +The \textbf{pseudoheader} contains the 32-bit IP address of the source \& destination machines, the protocol +number (6 for TCP), \& the byte count for the TCP segment (including the header). +Including the pseudoheader in the TCP checksum calculation helps detect misdelivered packets, but doing +do violates the protocol hierarchy, as IP addresses belong to the Network Layer, not the TCP Layer. +The pseudoheader is created to calculate the checksum, but is not actually transmitted. +\begin{center} + \includegraphics[width=0.7\textwidth]{tcppseudoheader.png} +\end{center} + +\subsubsection{TCP Extra Options} +For lines with high bandwidth \& high delay, the 64KB window size is often a problem. +The use of ``selective repeat'' instead of ``go and back n'' protocol is described in RFC 1106. +If the receiver gets a bad segment followed by a large number of good segments, the normal TCP protocol eventually times out and re-transmits all the unacknowledged segments, including the ones that were +RFC 1106 introduces NACs to allow the receiver to ask for a specific segment (or segments). +After it gets those, it can acknowledge all of the buffered data, thus reducing the amount of data re-transmitted. +received incorrectly. + +\subsubsection{TCP Connection Establishment} +\begin{center} + \includegraphics[width=0.7\textwidth]{tcpconnectionestablishment.png} +\end{center} + +TCP connection establishment uses the \textbf{three-way handshake protocol}. +(a) in the diagram above shows the normal TCP connection establishment case. +(b) shows the call collision case, when two hosts are trying to establish a connection between the same two +sockets. +The result is that just one connection will be established, not two, because the connections are identified +by their endpoints. + +\begin{center} + \includegraphics[width=0.7\textwidth]{tcpconnectionestablishment1.png} +\end{center} +\begin{enumerate} + \item The server must be prepared to accept an incoming connection, + This is normally done by calling the socket, binding to it, \& listening, and is called a \textbf{passive open}. + \item After the creation of a new socket, the client issues an \textbf{active open} by calling \verb|connect|. + This causes the client TCP to send a \verb|SYN| (synchronise) segment which informs the server of + the client's sequence number for the data that the client is going to send on the connection. + Normally, there is no data sent with \verb|SYN|, it just contains an IP header, a TCP header, \& + possible TCP options. + \item The server must acknowledge the client's \verb|SYN|, and the server must also send its own \verb|SYN| + containing the initial sequence number for the data that the server is going to send on the connection. + The server sends \verb|SYN| \& the \verb|ACK| of the client's \verb|SYN| in a single segment, + \item The client must acknowledge the server's \verb|SYN|. +\end{enumerate} + +\subsubsection{TCP Connection Release/Termination} +TCP connections are full duplex, since each simple connection is released independently. +To release a connection, either party can send a TCP segment with \verb|FIN| bit set, which means that +there is no more data to transmit. +Whenever \verb|FIN| is acknowledged, that direction is shut down for new data; However, data may continue +to flow in the other direction. +When both directions have been shut down, the connection is released. +Normally, four TCP segments are used to shut down the connection: one \verb|FIN| \& one \verb|ACK| for each +direction. +To avoid complications when segments are lost, timers are used. +If the \verb|ACK| for \verb|FIN| packet does not arrive in two packet lifetimes, the sender of the \verb|FIN| +releases the connection. +The other side will eventually realise that nobody seems to listen to it anymore and will time out as well. + +\begin{center} + \includegraphics[width=0.7\textwidth]{tcpconnectiontermination.png} +\end{center} +\begin{enumerate} + \item One application calls \verb|close| first, performing an \textbf{active close}. + This application's side TCP sends a \verb|FIN| segment, which means that it is finished sending data. + \item ---- FILL IN MISSING INFO ---- + \item Some time later, the application that received the end-of-file will close the socket, causing + its TCP to send \verb|FIN| packet. + \item The TCP on the system that receives the final \verb|FIN| (the end that did not activate the close) + acknowledges the \verb|FIN|. +\end{enumerate} + +\subsubsection{TCP Connection Management Modelling} +Note: There is no need to memorise this section for the sake of the CT2108 Exam. + +\begin{center} + \includegraphics[width=0.7\textwidth]{tcpstatetransitiondiagram.png} +\end{center} + +The steps involved in establishing \& releasing connections can be described using a Finite State Machine +model. +TCP can be represented as an FSM with 11 states. +Each connections starts in a \verb|CLOSED| state. +The connection leaves that state when it either does a passive open (\verb|LISTEN|) or an active open +(\verb|CONNECT|). +If the other side does the opposite one, a connection is established, and the state becomes \verb|ESTABLISHED|. +Connection release can be initiated by either side. +When it is complete, the state returns to \verb|CLOSED|. + +\begin{center} + \includegraphics[width=0.7\textwidth]{tcpconnectionmanagementfsm.png} +\end{center} + +Show above is the finite state machine representation of the TCP connection management system. +The heavy solid line is the normal path for a client. +The heavy dashed line is the normal path for a server. +The light lines are unusual events. +Each transition is labelled by the event causing it and the action resulting from it, separated by a slash. +The event can either be a user-initiated system call (\verb|CONNECT|, \verb|LISTEN|, \verb|SEND|, or \verb|CLOSE|), +a segment arrival (\verb|SYN|, \verb|FIN|, \verb|ACK|, or \verb|RST|) or in one case, a timeout. +The action is the sending of a control segment (\verb|SYN|, \verb|FIN|, or \verb|RST|), or nothing, indicated by \verb|-|. + +\subsubsection{TCP Transmission Policy} +\begin{center} + \includegraphics[width=0.7\textwidth]{tcptransmissionpolicy0.png} +\end{center} + +When the window size is 0, the sender cannot send segments except in two circumstances: +\begin{enumerate} + \item Urgent data needs to be sent (i.e., to allow the user to kill the process running on the remote machine). + \item The sender wants to send a 1-byte segment to make the receiver re-announce the next byte expected \& window size. +\end{enumerate} + +Senders are not required to send data as soon as they get it from the Application Layer. +i.e., when the first 2KB of the data came in from the application, the TCP may have decided to buffer it until the next 2KB of data has arrived, and send it all at once as a 4KB segment (knowing that the +receiver can accept a 4KB buffer). +This leaves space for improvements. + +Likewise, receivers are not required to send acknowledgements as soon as possible. + +\subsubsection{TCP Performance Issues} +Consider a telnet session to an interactive editor that reacts to every keystroke. +The worst-case scenario for such a setup is as follows: +\begin{itemize} + \item When a character arrives at the sending TCP entity, TCP creates a 21-byte segment, which is given to IP to be sent as a 41-byte datagram. + \item At the receiving side, TCP immediately sends a 40-byte acknowledgement (20 bytes of TCP segment headers and 20 bytes of IP headers). + \item Later, at the receiving side, when the editor (application) has read the character, TCP sends a window update, moving the window one byte to the right; this packet is also 40 bytes. + \item Finally, when the editor has interpreted the character, it will echo it as a 41-byte character. + \item 163 bytes of bandwidth are used, and four segments are sent for each character typed. +\end{itemize} + +One solution that many TCP implementations use to optimise this situation is \textbf{Delayed ACK}, which delays acknowledgements \& window updates for 500ms. +The idea is that we hope to acquire some data that will be bundled in the \verb|ACK| or window update segment. +i.e., in the case of the editor, assuming that it sends the echo within 500ms of the character read, the window update \& the actual byte of data will be sent back as a 41-byte packet. +This solution deals with the problem at the receiving end - it doesn't solve the inefficiency at the sending end. + +Another optimisation is \textbf{Nagle's Algorithm}: +\begin{enumerate} + \item When data comes into the sender TCP one byte at a time, only the first byte is sent as a single TCP segment, and all the subsequent bytes are buffered until the first byte is acknowledged. + \item Once the first byte is acknowledged, all the buffered characters are sent in one TCP segment and start buffering again until they are all acknowledged. + \item The algorithm additionally allows a new segment to be sent if enough data has accumulated to fill half the window or a new maximum segment. +\end{enumerate} +If the user is typing quickly \& the network is slow, then a substantial number of characters may be sent in each segment, which greatly reduces the usage of bandwidth. +Nagle's algorithm is widely used in TCP implementations, but there also times when it is better to disable it, i.e. when an X-window is run over the internet, mouse movements have to be sent to the remote +computer; gathering \& sending the mouse movements in bursts makes the cursor move erratically at the other end. + +\begin{center} + \includegraphics[width=0.7\textwidth]{tcpperfomanceissues2.png} +\end{center} + +\textbf{Silly Window Syndrome} is when data is passed to the sending TCP entity in large blocks, but is only read at the receiving end in small chunks (1 byte). +One solution to the Silly Window Problem is \textbf{Clark's Solution}: +\begin{enumerate} + \item Prevent the receiver from sending a window update for 1 byte. + \item Instead, have the receiver advertise a decent amount of space available. + Specifically, the receiver should not send a window update unless it has the space necessary to handle the maximum segment size (that has been advertised when the connection was established) or + its receiving buffer is half-empty, which is even smaller. + \item Furthermore, the sender can help by not sending small segments. + Instead, it should wait until it has accumulated enough space in the window to send a full segment or at least one containing half of the receiver's buffer size (which can be estimated from the + pattern of window updates it has received in the past). +\end{enumerate} + +Clark's Solution to the Silly Window Problem \& Nagle's algorithm are complementary. +Nagle was trying to solve the problem caused by the sending application delivering data to TCP one byte at a time. +Clark was trying to solve the problem caused by the receiving application reading data from TCP one byte at a time. +Both solutions are valid and can work together. +The goal is for the sender not to send small segments and the receiver not to ask for them. + +The receiving TCP can also improve performance by blocking \verb|READ| requests from the application until it has a large chunk of data to provide, but this can increase the response time. +However, for non-interactive application (e.g., file transfer), efficiency may outweigh the response time to individual requests. + +\subsubsection{TCP Congestion Control} +TCP deals with congestion by dynamically manipulating the window size. +The first step in managing congestion is to detect it. +A timeout caused by a lost packet can be caused by noise on the transmission line (which is not really an issue for modern infrastructure) or a packet discard at a congested router. +Most transmission timeouts are caused by congestion. +All Internet TCP algorithms assume that timeouts are due to congestion and monitor timeouts to detect congestion. + +\begin{center} + \includegraphics[width=0.7\textwidth]{tcpcongestioncontrol.png} +\end{center} + +TCP deals with network capacity congestion and receiver capacity congestion separately. +The sender maintains two windows: the window that the receiver has guaranteed and the \textbf{congestion window}. +Both of the windows reflect the number of bytes that the sender may transmit: the number that can be transmitted is the minimum of the two windows. +If the receiver says "Send 8K", but the sender knows that more than 4K will congest the network, it will send 4K. +On the other hand, if the receiver says "send 8K" and the sender knows that the network can handle 32K, it will send the full 8K. +Therefore, the effective window is the minimum between what the sender thinks is all right and what the receiver thinks is alright. + +\begin{center} + \includegraphics[width=0.7\textwidth]{slowstartalgorithm.png} +\end{center} +\begin{center} + \includegraphics[width=0.7\textwidth]{slowstartalgorithm1.png} +\end{center} + +\subsubsection{TCP Timer Management} +TCP uses multiple timers to do its work. +The most important TCP timer is the \textbf{retransmission timer}: +\begin{itemize} + \item When a segment is sent, a retransmission timer is started. + \item If the segment is acknowledged before this timer expires, the timer is stopped. + \item If the timer goes off before the segment is acknowledged, then the segment gets retransmitted, and the timer is re-started. + \item The big question is "How long should this timer interval be?". +\end{itemize} + +The \textbf{keepalive timer} is designed to check for connection integrity. +When it goes off (because of a long period of inactivity), it causes one side to check if the other side is still there. + +The \textbf{persistence timer} is designed to prevent deadlock: +\begin{itemize} + \item The receiver sends a packet with window size 0. + \item Later, it sends another packet with a larger window size, letting the sender know that it can send data, but this segment gets lost. + \item Both the receiver \& transmitter wait for the other. + \item The solution is a persistence timer on the sender's end that goes off \& produces a probe packet to go to the receiver to make it advertise its window again. +\end{itemize} + +The \textbf{timed wait state timer} is used when a connection is closed. +It runs for twice the maximum packet lifetime to make sure that when a connection is closed, all packets belonging to this connection have died off. + +\begin{center} + \includegraphics[width=0.7\textwidth]{tcptransmissiontimer.png} +\end{center} +\begin{center} + \includegraphics[width=0.7\textwidth]{tcpretransmissiontimer.png} +\end{center} +\begin{center} + \includegraphics[width=0.7\textwidth]{tcpretransmissiontimer1.png} +\end{center} + + +% \bibliography{references} +\end{document} + diff --git a/second/semester2/CT2108/Notes/images/applicationlayer.png b/second/semester2/CT2108/Notes/images/applicationlayer.png new file mode 100644 index 00000000..3482f9f0 Binary files /dev/null and b/second/semester2/CT2108/Notes/images/applicationlayer.png differ diff --git a/second/semester2/CT2108/Notes/images/b.png b/second/semester2/CT2108/Notes/images/b.png new file mode 100644 index 00000000..6615d553 Binary files /dev/null and b/second/semester2/CT2108/Notes/images/b.png differ diff --git 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+\sloppy + + + +\newcommand{\headeright}{Ph.D. Confirmation Report} +\newcommand{\undertitle}{Ph.D. Confirmation Report} +\newcommand{\shorttitle}{\@title} + +\usepackage{fancyhdr} +\fancyhf{} +\pagestyle{fancy} +\renewcommand{\headrulewidth}{0.4pt} +\fancyheadoffset{0pt} +\rhead{\scshape \footnotesize \headeright} +\chead{\shorttitle} +\cfoot{\thepage} + + +%Handling Keywords +\def\keywordname{{\bfseries \emph{Keywords}}}% +\def\keywords#1{\par\addvspace\medskipamount{\rightskip=0pt plus1cm +\def\and{\ifhmode\unskip\nobreak\fi\ $\cdot$ +}\noindent\keywordname\enspace\ignorespaces#1\par}} + +% font sizes with reduced leading +\renewcommand{\normalsize}{% + \@setfontsize\normalsize\@xipt\@xiipt + \abovedisplayskip 7\p@ \@plus 2\p@ \@minus 5\p@ + \abovedisplayshortskip \z@ \@plus 3\p@ + \belowdisplayskip \abovedisplayskip + \belowdisplayshortskip 4\p@ \@plus 3\p@ \@minus 3\p@ +} +\normalsize +\renewcommand{\small}{% + \@setfontsize\small\@xpt\@xipt + \abovedisplayskip 6\p@ \@plus 1.5\p@ \@minus 4\p@ + \abovedisplayshortskip \z@ \@plus 2\p@ + \belowdisplayskip \abovedisplayskip + \belowdisplayshortskip 3\p@ \@plus 2\p@ \@minus 2\p@ +} +\renewcommand{\footnotesize}{\@setfontsize\footnotesize\@ixpt\@xpt} +\renewcommand{\scriptsize}{\@setfontsize\scriptsize\@viipt\@viiipt} +\renewcommand{\tiny}{\@setfontsize\tiny\@vipt\@viipt} +\renewcommand{\large}{\@setfontsize\large\@xiipt{14}} +\renewcommand{\Large}{\@setfontsize\Large\@xivpt{16}} +\renewcommand{\LARGE}{\@setfontsize\LARGE\@xviipt{20}} +\renewcommand{\huge}{\@setfontsize\huge\@xxpt{23}} +\renewcommand{\Huge}{\@setfontsize\Huge\@xxvpt{28}} + +% sections with less space +\providecommand{\section}{} +\renewcommand{\section}{% + \@startsection{section}{1}{\z@}% + {-2.0ex \@plus -0.5ex \@minus -0.2ex}% + { 1.5ex \@plus 0.3ex \@minus 0.2ex}% + {\large\bf\raggedright}% +} +\providecommand{\subsection}{} +\renewcommand{\subsection}{% + \@startsection{subsection}{2}{\z@}% + {-1.8ex \@plus -0.5ex \@minus -0.2ex}% + { 0.8ex \@plus 0.2ex}% + {\normalsize\bf\raggedright}% +} +\providecommand{\subsubsection}{} +\renewcommand{\subsubsection}{% + \@startsection{subsubsection}{3}{\z@}% + {-1.5ex \@plus -0.5ex \@minus -0.2ex}% + { 0.5ex \@plus 0.2ex}% + {\normalsize\bf\raggedright}% +} +\providecommand{\paragraph}{} +\renewcommand{\paragraph}{% + \@startsection{paragraph}{4}{\z@}% + {1.5ex \@plus 0.5ex \@minus 0.2ex}% + {-1em}% + {\normalsize\bf}% +} +\providecommand{\subparagraph}{} +\renewcommand{\subparagraph}{% + \@startsection{subparagraph}{5}{\z@}% + {1.5ex \@plus 0.5ex \@minus 0.2ex}% + {-1em}% + {\normalsize\bf}% +} +\providecommand{\subsubsubsection}{} +\renewcommand{\subsubsubsection}{% + \vskip5pt{\noindent\normalsize\rm\raggedright}% +} + +% float placement +\renewcommand{\topfraction }{0.85} +\renewcommand{\bottomfraction }{0.4} +\renewcommand{\textfraction }{0.1} +\renewcommand{\floatpagefraction}{0.7} + +\newlength{\@abovecaptionskip}\setlength{\@abovecaptionskip}{7\p@} 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}{\leftmargin} +\setlength{\leftmarginii }{2em} +\setlength{\leftmarginiii}{1.5em} +\setlength{\leftmarginiv }{1.0em} +\setlength{\leftmarginv }{0.5em} +\def\@listi {\leftmargin\leftmargini} +\def\@listii {\leftmargin\leftmarginii + \labelwidth\leftmarginii + \advance\labelwidth-\labelsep + \topsep 2\p@ \@plus 1\p@ \@minus 0.5\p@ + \parsep 1\p@ \@plus 0.5\p@ \@minus 0.5\p@ + \itemsep \parsep} +\def\@listiii{\leftmargin\leftmarginiii + \labelwidth\leftmarginiii + \advance\labelwidth-\labelsep + \topsep 1\p@ \@plus 0.5\p@ \@minus 0.5\p@ + \parsep \z@ + \partopsep 0.5\p@ \@plus 0\p@ \@minus 0.5\p@ + \itemsep \topsep} +\def\@listiv {\leftmargin\leftmarginiv + \labelwidth\leftmarginiv + \advance\labelwidth-\labelsep} +\def\@listv {\leftmargin\leftmarginv + \labelwidth\leftmarginv + \advance\labelwidth-\labelsep} +\def\@listvi {\leftmargin\leftmarginvi + \labelwidth\leftmarginvi + \advance\labelwidth-\labelsep} + +% create title +\providecommand{\maketitle}{} +\renewcommand{\maketitle}{% + \par + \begingroup + \renewcommand{\thefootnote}{\fnsymbol{footnote}} + % for perfect author name centering + \renewcommand{\@makefnmark}{\hbox to \z@{$^{\@thefnmark}$\hss}} + % The footnote-mark was overlapping the footnote-text, + % added the following to fix this problem (MK) + \long\def\@makefntext##1{% + \parindent 1em\noindent + \hbox to 1.8em{\hss $\m@th ^{\@thefnmark}$}##1 + } + \thispagestyle{empty} + \@maketitle + \@thanks + %\@notice + \endgroup + \let\maketitle\relax + \let\thanks\relax +} + +% rules for title box at top of first page +\newcommand{\@toptitlebar}{ + \hrule height 2\p@ + \vskip 0.25in + \vskip -\parskip% +} +\newcommand{\@bottomtitlebar}{ + \vskip 0.29in + \vskip -\parskip + \hrule height 2\p@ + \vskip 0.09in% +} + +% create title (includes both anonymized and non-anonymized versions) +\providecommand{\@maketitle}{} +\renewcommand{\@maketitle}{% + \vbox{% + \hsize\textwidth + \linewidth\hsize + \vskip 0.8in + \@toptitlebar + \centering + {\LARGE\sc \@title\par} + \@bottomtitlebar + \vskip 0.5in + \textsc{\Large\undertitle}\\ + \vskip 2.0in + \def\And{% + \end{tabular}\hfil\linebreak[0]\hfil% + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\ignorespaces% + } + \def\AND{% + \end{tabular}\hfil\linebreak[4]\hfil% + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\large\ignorespaces% + } + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\Large\@author\end{tabular}% + \vskip 1.0in \@minus 0.1in \center{\large\@date} \vskip 0.2in + } +} + +% add conference notice to bottom of first page +\newcommand{\ftype@noticebox}{8} +\newcommand{\@notice}{% + % give a bit of extra room back to authors on first page + \enlargethispage{2\baselineskip}% + \@float{noticebox}[b]% + \footnotesize\@noticestring% + \end@float% +} + +% abstract styling +\renewenvironment{abstract} +{ + \centerline + {\large \bfseries \scshape Abstract} + \begin{quote} +} +{ + \end{quote} +} + +\endinput + diff --git a/second/semester2/CT2108/Slides/00-CT2108_Introduction.pdf 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files /dev/null and b/second/semester2/CT2108/Slides/CT2108_TransportLayer.pdf differ diff --git a/second/semester2/CT2109/Assignments/Assignment-01/Assignment 1 - 2023.pdf b/second/semester2/CT2109/Assignments/Assignment-01/Assignment 1 - 2023.pdf new file mode 100644 index 00000000..6b13633c Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-01/Assignment 1 - 2023.pdf differ diff --git a/second/semester2/CT2109/Assignments/Assignment-01/code/Alphabet.java b/second/semester2/CT2109/Assignments/Assignment-01/code/Alphabet.java new file mode 100644 index 00000000..a637a0a8 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-01/code/Alphabet.java @@ -0,0 +1,95 @@ +import java.util.*; +import java.io.*; + +public class Alphabet { + // initialising a String containing all the letters of the alphabet and turning it into a character array (to save typing) + public static String alphabetString = "abcdefghijklmnopqrstuvwxyz"; + public static char alphabet[] = alphabetString.toCharArray(); + + // declaring a Scanner object to use to scan in the user input + public static Scanner scanner = new Scanner(System.in); + + public static void main(String args[]) { + + System.out.println("Type the alphabet in order (lowercase)."); + + // prompting the user to enter 'f' or 'b' and scanning in the input (only scanning the 0th character of input) + System.out.println("Forwards or Backwards? (f/b): "); + char fb = scanner.next().charAt(0); + + // switch statement to determine forward or backwards, or exit + switch(fb) { + case 'f': + System.out.println("Time taken: " + forwards() + "s"); + break; + + case 'b': + System.out.println("Time taken: " + backwards() + "s"); + break; + + default: + System.out.println("Invalid input!. You must enter either 'f' or 'b' to start."); + System.exit(1); + + } + } + + // method for going through the alphabet forwards + private static long forwards() { + // getting the time when the user started + long start = System.currentTimeMillis(); + + // looping for each of the 26 letters + int i = 0; + while (i < 26) { + // checking if the scanned in character was the correct one + // if the it was not, then i will not be incremented, and it will loop again on the same letter. + if (scanner.next().charAt(0) == alphabet[i]) { + if (i == 25) { // checking if it's the last letter, and if so, printing a special message + System.out.println("Correct! Well done!"); + i++; + } + else { // otherwise, prompting the user to enter the next letter + System.out.println("[" + alphabet[i] + ": Correct! Now type '" + alphabet[++i] + "']"); // i gets incremented + } + } + + } + + // calculating the total time taken + long total = System.currentTimeMillis() - start; + + // returning the total time taken in seconds (by dividing by 1000) + return total / 1000; + } + + // method for going through the alphabet backwards + private static long backwards() { + // getting the time when the user started + long start = System.currentTimeMillis(); + + // looping for each of the 26 letters + int i = 25; + while (i >= 0) { + // checking if the scanned in character was the correct one + // if the it was not, then i will not be decremented, and it will loop again on the same letter. + if (scanner.next().charAt(0) == alphabet[i]) { + if (i == 0) { // checking if it's the last letter, and if so, printing a special message + System.out.println("Correct! Well done!"); + i--; + } + else { // otherwise, prompting the user to enter the next letter + System.out.println("[" + alphabet[i] + ": Correct! Now type '" + alphabet[--i] + "']"); // i gets decremented + } + } + + } + + // calculating the total time taken + long total = System.currentTimeMillis() - start; + + // returning the total time taken in seconds (by dividing by 1000) + return total / 1000; + } + +} diff --git a/second/semester2/CT2109/Assignments/Assignment-01/code/newAlphabet.java b/second/semester2/CT2109/Assignments/Assignment-01/code/newAlphabet.java new file mode 100644 index 00000000..3464e60b --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-01/code/newAlphabet.java @@ -0,0 +1,107 @@ +import java.util.*; +import java.io.*; + +public class Alphabet { + // declaring a Scanner object to use to scan in the user input + public static Scanner scanner = new Scanner(System.in); + + public static void main(String args[]) { + + System.out.println("Type the alphabet in order (lowercase)."); + + // prompting the user to enter 'f' or 'b' and scanning in the input (only scanning the 0th character of input) + System.out.println("Forwards or Backwards? (f/b): "); + char fb = scanner.next().charAt(0); + + // switch statement to determine forward or backwards, or exit + switch(fb) { + case 'f': + boolean forwards = true; + break; + + case 'b': + boolean forwards = false; + break; + + default: + System.out.println("Invalid input!. You must enter either 'f' or 'b' to start."); + System.exit(1); + } + + if (forwards) { + char c = 'a'; + + while (c < 'z') { + // checking if the scanned in character was the correct one + // if the it was not, then c will not be incremented, and it will loop again on the same letter. + if (scanner.next().charAt(0) == c) { + if (c == 'z') { // checking if it's the last letter, and if so, printing a special message + System.out.println("Correct! Well done!"); + c++; + } + else { // otherwise, prompting the user to enter the next letter + System.out.println("[" + c + ": Correct! Now type '" + ++c + "']"); // c gets incremented + } + } + } + } + + // method for going through the alphabet forwards + private static long forwards() { + // getting the time when the user started + long start = System.currentTimeMillis(); + + // looping for each of the 26 letters + int i = 0; + while (i < 26) { + // checking if the scanned in character was the correct one + // if the it was not, then i will not be incremented, and it will loop again on the same letter. + if (scanner.next().charAt(0) == alphabet[i]) { + if (i == 25) { // checking if it's the last letter, and if so, printing a special message + System.out.println("Correct! Well done!"); + i++; + } + else { // otherwise, prompting the user to enter the next letter + System.out.println("[" + alphabet[i] + ": Correct! Now type '" + alphabet[++i] + "']"); // i gets incremented + } + } + + } + + // calculating the total time taken + long total = System.currentTimeMillis() - start; + + // returning the total time taken in seconds (by dividing by 1000) + return total / 1000; + } + + // method for going through the alphabet backwards + private static long backwards() { + // getting the time when the user started + long start = System.currentTimeMillis(); + + // looping for each of the 26 letters + int i = 25; + while (i >= 0) { + // checking if the scanned in character was the correct one + // if the it was not, then i will not be decremented, and it will loop again on the same letter. + if (scanner.next().charAt(0) == alphabet[i]) { + if (i == 0) { // checking if it's the last letter, and if so, printing a special message + System.out.println("Correct! Well done!"); + i--; + } + else { // otherwise, prompting the user to enter the next letter + System.out.println("[" + alphabet[i] + ": Correct! Now type '" + alphabet[--i] + "']"); // i gets decremented + } + } + + } + + // calculating the total time taken + long total = System.currentTimeMillis() - start; + + // returning the total time taken in seconds (by dividing by 1000) + return total / 1000; + } + +} diff --git a/second/semester2/CT2109/Assignments/Assignment-01/latex/CT2109-Assignment-01.pdf b/second/semester2/CT2109/Assignments/Assignment-01/latex/CT2109-Assignment-01.pdf new file mode 100644 index 00000000..14eb3b3e Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-01/latex/CT2109-Assignment-01.pdf differ diff --git a/second/semester2/CT2109/Assignments/Assignment-01/latex/CT2109-Assignment-01.tex b/second/semester2/CT2109/Assignments/Assignment-01/latex/CT2109-Assignment-01.tex new file mode 100644 index 00000000..7a3723a8 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-01/latex/CT2109-Assignment-01.tex @@ -0,0 +1,152 @@ +\documentclass[11pt]{article} + +\usepackage{report} + +\usepackage[utf8]{inputenc} % allow utf-8 input +\usepackage[T1]{fontenc} % use 8-bit T1 fonts +\usepackage[colorlinks=true, linkcolor=black, citecolor=blue, urlcolor=blue]{hyperref} % hyperlinks +\usepackage{url} % simple URL typesetting +\usepackage{booktabs} % professional-quality tables +\usepackage{amsfonts} % blackboard math symbols +\usepackage{nicefrac} % compact symbols for 1/2, etc. +\usepackage{listings} +\usepackage{microtype} % microtypography +\usepackage{lipsum} % Can be removed after putting your text content +\usepackage{graphicx} +\graphicspath{ {./images/} } +\usepackage{natbib} +\usepackage{doi} +\setcitestyle{aysep={,}} +\usepackage{array} + +\usepackage{xcolor} +\definecolor{codegreen}{rgb}{0,0.6,0} +\definecolor{codegray}{rgb}{0.5,0.5,0.5} +\definecolor{codeorange}{rgb}{1,0.49,0} +\definecolor{backcolour}{rgb}{0.95,0.95,0.96} + +\lstdefinestyle{mystyle}{ + backgroundcolor=\color{backcolour}, + commentstyle=\color{codegray}, + keywordstyle=\color{codeorange}, + numberstyle=\tiny\color{codegray}, + stringstyle=\color{codegreen}, + basicstyle=\ttfamily\footnotesize, + breakatwhitespace=false, + breaklines=true, + captionpos=b, + keepspaces=true, + numbers=left, + numbersep=5pt, + showspaces=false, + showstringspaces=false, + showtabs=false, + tabsize=2, + xleftmargin=10pt, +} + +\lstset{style=mystyle} + +\title{CT2109 - Object-Oriented Programming: Data Structures \& Algorithms} + +\author{Andrew Hayes\\ +\AND +\AND +\AND +\AND + Student ID: 21321503 \\ +\AND + 2BCT\\ +\AND + University of Galway\\ +} + +% Uncomment to remove the date +% \date{February 2022} + +% Uncomment to override the `A preprint' in the header +\renewcommand{\undertitle}{Assignment 01} +\renewcommand{\headeright}{CT2109 Assignment 01} +\renewcommand{\shorttitle}{} + +%%% Add PDF metadata to help others organize their library +%%% Once the PDF is generated, you can check the metadata with +%%% $ pdfinfo template.pdf +% \hypersetup{ +% pdftitle={A template for the arxiv style}, +% pdfsubject={q-bio.NC, q-bio.QM}, +% pdfauthor={David S.~Hippocampus, Elias D.~Striatum}, +% pdfkeywords={First keyword, Second keyword, More}, +% } + +\begin{document} +\maketitle + +\newpage +\setcounter{page}{1} +\section{Problem Statement with Analysis \& Design Notes} +At its most basic, this assignment will require an array of all the letters of the alphabet, and two methods: +one to loop through the array in alphabetical order, and the other to loop it in counter-alphabetical order. + +There will be a choice presented to the user whether to loop through the alphabet \textit{forwards} (alphabetical order) +or \textit{backwards} (counter-alphabetical) order. +To choose between these two options there will be a case statement. +A \verb|char| will be scanned in from the user. +If the \verb|char| is equal to \verb|'f'|, then the \verb|forwards()| method will be executed, and the time taken will be printed out. +If the \verb|char| is equal to \verb|'b'|, then the \verb|backwards()| method will be executed, and the time taken will be printed out. +The \verb|default| of the case statement will be to print an error message and exit with code \verb|1|. +While the use of two separate methods for the alphabetical \& counter-alphabetical versions is not the absolute most efficient option in terms of lines of code, +the use of separate functions enhances the readability of the code and allows for a cleaner implementation, at the cost of repeating only two or three lines of code. +It also reduces the need for nested if statements, which are both inefficient and often difficult to read. + +The \verb|forwards()| \& \verb|backwards()| methods will be essentially the same. +They will both return the \verb|long| data type, which will be the time taken in seconds. +To calculate the time taken in seconds, before the ``game'' begins, the start time will be recorded with \verb|System.currentTimeMillis()|. +The end time will be recorded in a similar manner at the end, and the total will be calculated from subtracting one from the other. +This total will then be divided by 1000 (to convert from milliseconds to seconds) and then returned, where it will then be printed out. + +The game itself will work in a similar manner in both methods: the array of the letters of the alphabet will be looped through using a \verb|while| loop +A character will be scanned in from the user. +If the character is correct, a success message will be printed and the index variable incremented or decremented as appropriate for the method. +Otherwise, the loop will be executed again on the same character, effectively ignoring the input, until the appropriate character is entered. +If the index is at the last character of either sequence (alphabetical or counter-alphabetical), a special message will be printed out if the answer is correct. + +The only real difference between the two methods will be the way in which they loop through the alphabet array. +\verb|forwards()| will loop through the array in alphabetical order, starting at index \verb|0| and incrementing the index for each correct answer, with the loop condition \verb|while (i < 26)|. +\verb|backwards()| will loop the array in counter-alphabetical order, starting at index \verb|25| and decrementing the index for each correct answer, with the loop condition \verb|while (i >= 0)|. + + +\section{Code} +\lstinputlisting[language=Java, breaklines=true, caption={Alphabet.java}]{../code/Alphabet.java} + +\section{Testing} +There are two main scenarios that must be tested for both the \verb|forwards()| \& \verb|backwards()| methods: correct input \& incorrect input. +Of these two main scenarios, we should test them at the first character of the sequence, the last character of the sequence, and some of the middle characters. +The main reason for this is that the first \& last characters are in a sense special, particularly the last one, so what may work for the ``middle'' characters may not work for the others. + +Furthermore, the case statement to choose between forwards \& backwards should be tested with input \verb|f|, \verb|b|, and some incorrect, third option. + +\begin{center} +\begin{figure}[htp] + \centering + \includegraphics[width=0.7\textwidth]{invalid_input.png} + \caption{Testing invalid input to the case statement} +\end{figure} +\end{center} + +\begin{center} +\begin{figure}[htp] + \centering + \includegraphics[width=0.3\textwidth]{forwards.png} + \caption{Testing forwards with valid \& invalid, first, middle, \& last input} +\end{figure} +\end{center} + +\begin{center} +\begin{figure}[htp] + \centering + \includegraphics[width=0.3\textwidth]{backwards.png} + \caption{Testing backwards with valid \& invalid, first, middle, \& last input} +\end{figure} +\end{center} +\end{document} diff --git a/second/semester2/CT2109/Assignments/Assignment-01/latex/images/backwards.png 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1\p@ \@minus 0.5\p@ + \parsep 1\p@ \@plus 0.5\p@ \@minus 0.5\p@ + \itemsep \parsep} +\def\@listiii{\leftmargin\leftmarginiii + \labelwidth\leftmarginiii + \advance\labelwidth-\labelsep + \topsep 1\p@ \@plus 0.5\p@ \@minus 0.5\p@ + \parsep \z@ + \partopsep 0.5\p@ \@plus 0\p@ \@minus 0.5\p@ + \itemsep \topsep} +\def\@listiv {\leftmargin\leftmarginiv + \labelwidth\leftmarginiv + \advance\labelwidth-\labelsep} +\def\@listv {\leftmargin\leftmarginv + \labelwidth\leftmarginv + \advance\labelwidth-\labelsep} +\def\@listvi {\leftmargin\leftmarginvi + \labelwidth\leftmarginvi + \advance\labelwidth-\labelsep} + +% create title +\providecommand{\maketitle}{} +\renewcommand{\maketitle}{% + \par + \begingroup + \renewcommand{\thefootnote}{\fnsymbol{footnote}} + % for perfect author name centering + \renewcommand{\@makefnmark}{\hbox to \z@{$^{\@thefnmark}$\hss}} + % The footnote-mark was overlapping the footnote-text, + % added the following to fix this problem (MK) + \long\def\@makefntext##1{% + \parindent 1em\noindent + \hbox to 1.8em{\hss $\m@th ^{\@thefnmark}$}##1 + } + \thispagestyle{empty} + \@maketitle + \@thanks + %\@notice + \endgroup + \let\maketitle\relax + \let\thanks\relax +} + +% rules for title box at top of first page +\newcommand{\@toptitlebar}{ + \hrule height 2\p@ + \vskip 0.25in + \vskip -\parskip% +} +\newcommand{\@bottomtitlebar}{ + \vskip 0.29in + \vskip -\parskip + \hrule height 2\p@ + \vskip 0.09in% +} + +% create title (includes both anonymized and non-anonymized versions) +\providecommand{\@maketitle}{} +\renewcommand{\@maketitle}{% + \vbox{% + \hsize\textwidth + \linewidth\hsize + \vskip 0.8in + \@toptitlebar + \centering + {\LARGE\sc \@title\par} + \@bottomtitlebar + \vskip 0.5in + \textsc{\Large\undertitle}\\ + \vskip 2.0in + \def\And{% + \end{tabular}\hfil\linebreak[0]\hfil% + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\ignorespaces% + } + \def\AND{% + \end{tabular}\hfil\linebreak[4]\hfil% + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\large\ignorespaces% + } + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\Large\@author\end{tabular}% + \vskip 1.0in \@minus 0.1in \center{\large\@date} \vskip 0.2in + } +} + +% add conference notice to bottom of first page +\newcommand{\ftype@noticebox}{8} +\newcommand{\@notice}{% + % give a bit of extra room back to authors on first page + \enlargethispage{2\baselineskip}% + \@float{noticebox}[b]% + \footnotesize\@noticestring% + \end@float% +} + +% abstract styling +\renewenvironment{abstract} +{ + \centerline + {\large \bfseries \scshape Abstract} + \begin{quote} +} +{ + \end{quote} +} + +\endinput + diff --git a/second/semester2/CT2109/Assignments/Assignment-02/Assignment 2 - 2023.pdf b/second/semester2/CT2109/Assignments/Assignment-02/Assignment 2 - 2023.pdf new file mode 100644 index 00000000..83a4b6b2 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-02/Assignment 2 - 2023.pdf differ diff --git a/second/semester2/CT2109/Assignments/Assignment-02/code/ArrayStack.java b/second/semester2/CT2109/Assignments/Assignment-02/code/ArrayStack.java new file mode 100644 index 00000000..74414d1a --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-02/code/ArrayStack.java @@ -0,0 +1,63 @@ +/** Array implementation of Stack ADT */ + +import javax.swing.JOptionPane; + +public class ArrayStack implements Stack +{ + protected int capacity; // The actual capacity of the stack array + protected static final int CAPACITY = 1000; // default array capacity + protected Object S[]; // array used to implement the stack + protected int top = -1; // index for the top of the stack + + public ArrayStack() { + // default constructor: creates stack with default capacity + this(CAPACITY); + } + + public ArrayStack(int cap) { + // this constructor allows you to specify capacity of stack + capacity = (cap > 0) ? cap : CAPACITY; + S = new Object[capacity]; + } + + public void push(Object element) { + if (isFull()) { + JOptionPane.showMessageDialog(null, "ERROR: Stack is full."); + return; + } + top++; + S[top] = element; + } + + public Object pop() { + Object element; + if (isEmpty()) { + JOptionPane.showMessageDialog(null, "ERROR: Stack is empty."); + return null; + } + element = S[top]; + S[top] = null; + top--; + return element; + } + + public Object top() { + if (isEmpty()) { + JOptionPane.showMessageDialog(null, "ERROR: Stack is empty."); + return null; + } + return S[top]; + } + + public boolean isEmpty() { + return (top < 0); + } + + public boolean isFull() { + return (top == capacity-1); + } + + public int size() { + return (top + 1); + } + } \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-02/code/Stack.java b/second/semester2/CT2109/Assignments/Assignment-02/code/Stack.java new file mode 100644 index 00000000..40df203d --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-02/code/Stack.java @@ -0,0 +1,13 @@ +/** Abstract Stack interface */ + +public interface Stack +{ + // most important methods + public void push(Object n); // push an object onto top of the stack + public Object pop(); // pop an object from top of the stack + + // others + public Object top(); // examine top object on stack without removing it + public boolean isEmpty(); // true if stack is empty + public boolean isFull(); // true if stack is full (if it has limited storage) +} diff --git a/second/semester2/CT2109/Assignments/Assignment-02/code/StackCalculator.java b/second/semester2/CT2109/Assignments/Assignment-02/code/StackCalculator.java new file mode 100644 index 00000000..2f6d8cad --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-02/code/StackCalculator.java @@ -0,0 +1,205 @@ +import java.util.*; +import java.util.regex.*; + +public class StackCalculator { + public static void main(String[] args) { + Scanner sc = new Scanner(System.in); // creating a new scanner to read in expressions from the user + String expr; // creating a String to hold the expression read in. + boolean invalidInput; // boolean to tell whether the user's input was invalid + + // will only loop if invalidInput is set to true + do { + // default false, meaning we assume valid input + invalidInput = false; + + // prompting the user to enter expression & scanning it in + System.out.println("Enter an infix numerical expression between 3 & 20 characters:"); + expr = sc.nextLine(); + + // regex that will be used to match expressions that contain illegal characters + Pattern illegalchars = Pattern.compile("(?=[^\\^\\*\\/\\+\\-\\(\\)])(?=[^0-9])"); // this is confusing-looking because in java, one has to escape the backslashes for one's regex escape sequences + Matcher illegalcharsMatcher = illegalchars.matcher(expr); + + // regex that will be used to match numbers that are double-digit or more + Pattern doubledigit = Pattern.compile("[0-9][0-9]"); // just checking if a digit is ever followed by another digit + Matcher doubledigitMatcher = doubledigit.matcher(expr); + + // checking that the input length is correct + if (expr.length() > 20 || expr.length() < 3) { + System.out.println("Invalid input. Please ensure that the length of the input is between 3 and 20 characters"); + invalidInput = true; + } + // checking for invalid characters using a regular expression which matches strings that contain characters that are neither operands or digits + else if (illegalcharsMatcher.find()) { + System.out.println("Invalid input. Please use only the operators '^, *, /, +, -, (, )' and the operand digits 0-9"); + invalidInput = true; + } + // checking for numbers that are not single-digit + else if (doubledigitMatcher.find()) { + System.out.println("Invalid input. Please only use single-digit numbers."); + invalidInput = true; + } + } while (invalidInput); + + // converting the expression to postfix + String postexpr = in2post(expr); + + // evaluating the postfix expression & printing the result + System.out.println(expr + " = " + evalpost(postexpr)); + } + + // method to evaluate postfix expressions + public static double evalpost(String str) { + ArrayStack stack = new ArrayStack(); // arraystack to be used during calculations + char[] chars = str.toCharArray(); // turning the str expression into a character array to make iterating over it easy + + // iterating over the postfix expression + for (char c : chars) { + // if the element is an operand, pushing it to the stack + if (Character.isDigit(c)) { + stack.push(c); + } + // if the character is not a digit, then it must be an operator + // popping two operands from the stack for the operator & evaluating them, then pushing the result to the stack + else { + // converting the operands to doubles for simplicity's sake if division is encountered + // using an if statement to detect if the top is a Character or a Double. + // if it's a Character, casting to char and subtracting the value of the character '0' to get the character's numeric value + // else, casting it to double + double operand2 = stack.top() instanceof Character ? (double) ((char) stack.pop() - '0') : (double) stack.pop(); // what would normally be operand 2 in infix will be the first on the stack + double operand1 = stack.top() instanceof Character ? (double) ((char) stack.pop() - '0') : (double) stack.pop(); + + // switch statement on the operator to see which operator it is + // evaluating the expression and pushing the result to the stack + switch (c) { + // exponentiation + case '^': + stack.push(Math.pow(operand1, operand2)); + break; + + // multipication + case '*': + stack.push(operand1 * operand2); + break; + + // division + case '/': + stack.push(operand1 / operand2); + break; + + // addition + case '+': + stack.push(operand1 + operand2); + break; + + // subtraction + case '-': + stack.push(operand1 - operand2); + break; + + // printing an error and exiting with code 1 if an unknown operator is somehow encountered + default: + System.out.println("The postfix expression contained an unrecognised operator! Exiting..."); + System.exit(1); + } + } + } + + // returning the final answer - the number on the stack + return (double) stack.pop(); + } + + // method to convert infix to postfix + public static String in2post(String str) { + ArrayStack stack = new ArrayStack(); + char[] chars = str.toCharArray(); // converting str to a character array to make it easier to iterate over + String output = ""; // output string to be returned + + // looping through each character in the array + for (char c : chars) { + // if the scanned character is a '(', pushing it to the stack + if (c == '(') { + stack.push(c); + } + // if the scanned character is a ')', popping the stack & appending to the output until a '(' is encountered + else if (c == ')') { + while (!stack.isEmpty()) { + // if a ( is encountered, popping it & breaking + if (stack.top().equals('(')) { + stack.pop(); + break; + } + // otherwise, popping the stack & appending to the output + else { + output += stack.pop(); + } + } + } + // appending the character to the output string if it is an operand (digit) + else if (Character.isDigit(c)) { + output += c; + } + // if the stack is empty or contains '(' or the precedence of the scanned operator is greater than the precedence of the operator in the stack + // important that stack.isEmpty() comes first - the rest of the if condition will not be evaluated if this is true as we are using OR + // this prevents any NullPointerExceptions from being thrown if we try to access the top of an empty stack + else if (stack.isEmpty() || stack.top().equals('(') || precedence(c) > precedence((char) stack.top())) { + // pushing the scanned operator to the stack + stack.push(c); + } + else { + // popping all the operators from the stack which are >= to in precedence to that of the scanned operator & appending them to the output string + while (!stack.isEmpty() && precedence((char) stack.top()) >= precedence(c)) { + // if parenthesis is encountered, popping it, stopping, and pushing the scanned operator + if (stack.top().equals('(') || stack.top().equals(')')) { + stack.pop(); + break; + } + // otherwise, popping the stack and appending to output + else { + output += stack.pop(); + } + } + + // after that, pushing the scanned operator to the stack + stack.push(c); + } + } + + // popping and appending to output any remaining content from the stack + while (!stack.isEmpty()) { + output += stack.pop(); + } + + // returning the generated postfix expression + return output; + } + + // method to get the precedence of each operator - the higher the returnval, the higher the precedence. -1 indicates no precedence (invalid char) + public static int precedence(char c) { + switch (c) { + // exponentiation + case '^': + return 2; + + // multiplication + case '*': + return 1; + + // division + case '/': + return 1; + + // addition + case '+': + return 0; + + // subtraction + case '-': + return 0; + + // default - invalid operator + default: + return -1; + } + } +} diff --git a/second/semester2/CT2109/Assignments/Assignment-02/code/Test.java b/second/semester2/CT2109/Assignments/Assignment-02/code/Test.java new file mode 100644 index 00000000..2a2b8556 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-02/code/Test.java @@ -0,0 +1,15 @@ +public class Test { + public static void main(String[] args) { + ArrayStack stack = new ArrayStack(); + stack.push('a'); + String str = ""; + str += stack.top(); + System.out.println(str); + + char c = 'a'; + if (c.equals('a')) { + System.out.println("nice"); + } + + } +} diff --git a/second/semester2/CT2109/Assignments/Assignment-02/latex/CT2109-Assignment-02.pdf b/second/semester2/CT2109/Assignments/Assignment-02/latex/CT2109-Assignment-02.pdf new file mode 100644 index 00000000..8eb43684 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-02/latex/CT2109-Assignment-02.pdf differ diff --git a/second/semester2/CT2109/Assignments/Assignment-02/latex/CT2109-Assignment-02.run.xml b/second/semester2/CT2109/Assignments/Assignment-02/latex/CT2109-Assignment-02.run.xml new file mode 100644 index 00000000..deca3840 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-02/latex/CT2109-Assignment-02.run.xml @@ -0,0 +1,85 @@ + + + + + + + + + + + + + + + + + + + + + + + + +]> + + + latex + + CT2109-Assignment-02.bcf + + + CT2109-Assignment-02.bbl + + + blx-dm.def + blx-compat.def + biblatex.def + standard.bbx + numeric.bbx + numeric.cbx + biblatex.cfg + english.lbx + + + + biber + + biber + CT2109-Assignment-02 + + + CT2109-Assignment-02.bcf + + + CT2109-Assignment-02.bbl + + + CT2109-Assignment-02.bbl + + + CT2109-Assignment-02.bcf + + + ecl.bib + + + diff --git a/second/semester2/CT2109/Assignments/Assignment-02/latex/CT2109-Assignment-02.tex b/second/semester2/CT2109/Assignments/Assignment-02/latex/CT2109-Assignment-02.tex new file mode 100644 index 00000000..fc0e80ab --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-02/latex/CT2109-Assignment-02.tex @@ -0,0 +1,229 @@ +\documentclass[a4paper]{article} + +\usepackage{listings} +\usepackage{xcolor} +\definecolor{codegreen}{rgb}{0,0.6,0} +\definecolor{codegray}{rgb}{0.5,0.5,0.5} +\definecolor{codeorange}{rgb}{1,0.49,0} +\definecolor{backcolour}{rgb}{0.95,0.95,0.96} + +\lstdefinestyle{mystyle}{ + backgroundcolor=\color{backcolour}, + commentstyle=\color{codegray}, + keywordstyle=\color{codeorange}, + numberstyle=\tiny\color{codegray}, + stringstyle=\color{codegreen}, + basicstyle=\ttfamily\footnotesize, + breakatwhitespace=false, + breaklines=true, + captionpos=b, + keepspaces=true, + numbers=left, + numbersep=5pt, + showspaces=false, + showstringspaces=false, + showtabs=false, + tabsize=2, + xleftmargin=10pt, +} + +\lstset{style=mystyle} + +\input{head} +\begin{document} + +%------------------------------- +% TITLE SECTION +%------------------------------- + +\fancyhead[C]{} +\hrule \medskip % Upper rule +\begin{minipage}{0.295\textwidth} + \begin{raggedright} + \footnotesize + Andrew Hayes \hfill\\ + 21321503 \hfill\\ + a.hayes18@nuigalway.ie + \end{raggedright} +\end{minipage} +\begin{minipage}{0.4\textwidth} + \begin{centering} + \large + CT2109 Assignment 2\\ + \normalsize + \end{centering} +\end{minipage} +\begin{minipage}{0.295\textwidth} + \begin{raggedleft} + \footnotesize + \today \hfill\\ + \end{raggedleft} +\end{minipage} + +\medskip\hrule +\medskip +\begin{centering} + Solving Expressions in Postfix Notation Using Stacks\\ +\end{centering} +\medskip\hrule +\bigskip + +\section{Problem Statement} +The problem here is a reasonably basic one. +We want to create a program that allows a user to enter an arithmetic expression in conventional algebraic form (infix +notation), calculates the answer to the expression using a Stack, and displays the results to the user. +The precedence rules outlined in the assignment specification are the well-known BIMDAS (sometimes PEMDAS), meaning that +Brackets have the highest precedence, followed by Indices, followed by Multiplication \& Division, followed by Addition +\& Subtraction. +\\\\ +To use a Stack to perform the calculations, the expression must first be converted from infix notation to postfix notation. +This allows a much simpler way of evaluating the expressions. +If infix was used on the stack, with one symbol per ``slot'' or index in the stack, the symbol at the top of the stack would +be an operand. +Our program would need to pop the stack several times before it could determine what it was actually supposed to do with said +operand. +If postfix notation was used, our program knows exactly what to do because the first symbol on the stack will be an operator. +When an operator is encountered, the program will know that the operator requires two operands and pop them from the stack, +avoiding any amount of guesswork or confusion that infix notation would've caused. + +\section{Analysis \& Design Notes} +Firstly, we want to scan in the expression from the user using a \verb|Scanner| object and a \verb|String|. +There are some rules about valid \& invalid expressions, and if the expression is invalid, we want to prompt the user to re-enter +their expression. +The criteria for validity are as follows: the expression must be between 3 \& 20 characters, and it must only contain single +digits 1-9 and the symbols \verb|^|, \verb|*|, \verb|/|, \verb|+|, \verb|-|, \verb|(|, \& \verb|)|. +In a do-while loop, we'll prompt the user to enter an expression and scan it in. +The expression will first be checked to ensure that it is of the appropriate length. +If not, the loop will repeat. +If the expression is of the appropriate length, it will then be checked using a regular expression to see if it contains any +characters that are not the allowed characters. +If so, the loop will repeat. +If the expression does not contain any illegal characters, it will finally be checked using a regular expression to see if it +contains numbers that have two or more digits (essentially just checking if a digit is ever followed by another digit). +If so, the loop will repeat. +Otherwise, the loop will end, and the program will proceed. +\\\\ +If the expression is valid, it will then be converted to postfix notation using the algorithm outlined in the assignment +specification. +The user's input String will be passed to a method that will convert it to a character array and loop over it, +implementing the algorithm as follows: +\begin{enumerate} + \item If the character is a ``\verb|(|'', it will be pushed to the stack. + \item Else, if the character is a ``\verb|)|'', a loop will be entered wherein the stack is popped and the results appended + to the output String until a ``\verb|(|'' is encountered and the stack is not empty (to prevent errors). + If a ``\verb|(|'' is encountered, it will be popped from the stack and discarded. + \item Else, if the character is a digit (operand), it will be appended to the output String. + \item Else, if the stack is empty, or contains a ``\verb|(|'', or the precedence of the scanned operator is greater than + the precedence of the operator on the stack, the scanned operator will be pushed to the stack. (We know at this point + that it is an operator, as it's not a digit). + It's important that the \verb|stack.isEmpty()| condition comes first, as if true, it will prevent the rest of the + condition being evaluated (in Java, logical OR is such that if the first part of the condition is true, Java won't bother + to evaluate the rest, as the whole condition must be true if part of it is true). + This is important because if the subsequent \verb|stack.top()| operations were called on an empty stack, an error + would occur. + \item Else, all the operators in the stack which are greater than or equal to the scanned operator will be popped from + the stack using a while loop (again, ensuring that the stack isn't empty first), and appended to the output String. + If a ``\verb|(|'' or ``\verb|)|'' is encountered while poppung, it will be popped from the stack and the loop will break. + After that, the scanned operator will be pushed to the stack. + \item Finally, any remaing content in the stack will be popped and appended to the output String, which will subsequently + be returned. +\end{enumerate} + +A utility to determine the precedence of an operator will be required for the above method, so one will be implemented as a +method with the signature \verb|public static int precedence(char c)|. +This method will return an integer value; The higher the value of the returned integer, the higher the precedence of the operator +that was passed to the method. +This will be implemented with a simple \verb|switch (c)| statement, with \verb|default| returning \verb|-1| to indicate no +precedence (invalid operator). +\\\\ +Once the postfix expression has been returned from the converter method in String form, it will then be passed to a method +which will convert it to a character array and will evaluate it using the algorithm outlined in the assignment specification, +which it will implement as follows, by iterating over each character in the postfix expression: +\begin{enumerate} + \item If the character is a digit (operand), it will be pushed to the stack. + \item Else, as it must be an operator, two operands will be popped from the stack to be evaluated using that operator. + We will want these operands to be \verb|double|s, as there may be division involved, and it's more simple if only + one numeric type is used. + Operand 2 will be the one above operand 1 on the stack, as the expression is in postfix, but because Java works in + infix, we will have to treat it as an infix expression. + There is some difficulty involved, as the ArrayStack contains type \verb|Object|. + These \verb|Object|s will be of two types: \verb|Character| \& \verb|Double| (autoboxed from \verb|char| \& \verb|double|). + Since we are assigning these elements from the stack to variables of type \verb|double|, we will need to cast them to type + \verb|double| first. + \\\\ + If the element is an \verb|instanceof Character|, it must first be converted to a \verb|char| (unboxed) and then + the value of the \textit{character} ``\verb|0|'' subtracted from it. + This will give the numeric value of the character. + Else, the element must be of type \verb|Double| which can easily be cast to \verb|double| to unbox it. + \\\\ + Finally, a \verb|switch (c)| statement will be used on the operator to determine how to evaluate it. + There will be a case for each operator, and in it, the result of operand 1 combined with operand 2 using that operator + will be pushed to the stack. + \item When each character in the character array has been looped over, the element at the top of the stack is the answer. + This will be popped, cast to type \verb|double|, and returned to be printed out \& displayed to the user. +\end{enumerate} + +\section{Code} +\lstinputlisting[language=Java, breaklines=true, title={StackCalculator.java}]{../code/StackCalculator.java} + +\section{Testing} +The first series of tests that we'll want to perform are testing that the program rejects invalid inputs. +The testing that it accepts valid inputs will come later. +We expect that the program will prompt us to re-enter our expression in the following circumstances: +\begin{itemize} + \item If the expression is not between 3 \& 20 characters in length. + \item If the expression entered contains a character other than the digits 0-9 and the symbols \verb|^|, \verb|*|, + \verb|/|, \verb|+|, \verb|-|, \verb|(|, \& \verb|)|. + \item If the expression contains any double-digit numbers. +\end{itemize} + +The screenshots below show that the expected output for the scenarios outlined above match the real output: + +\begin{figure}[h] + \centering + \includegraphics[width=0.7\textwidth]{images/illegallength.png} + \caption{Testing Expressions of Illegal Length} +\end{figure} + +\begin{figure}[h] + \centering + \includegraphics[width=0.7\textwidth]{images/illegalcharacters.png} + \caption{Testing Expressions which Contain Illegal Characters} +\end{figure} + +\begin{figure}[h] + \centering + \includegraphics[width=0.7\textwidth]{images/doubledigit.png} + \caption{Testing Expressions which Contain Double-Digit Numbers} +\end{figure} + +Of course, the next thing that we must ensure is that the program accepts valid inputs. +However, for the sake of convenience \& concision, these tests can be bundled with tests ensuring that the calculations +work properly. +Assuming that the program passes the tests which check if the program calculates expressions correctly, then we know +that the program must also be accepting valid inputs. +\\\\ +The next series of tests that we'll want to perform are checking that the program calculates the correct answer to the +expressions that are entered. +We'll want to test each operator both individually and in concert with other operators. +We expect that the program obeys the standard BIMDAS rules, and that the results match the results you would get from +any other calculator. + +\begin{figure}[h] + \centering + \includegraphics[width=0.7\textwidth]{images/individualoperators.png} + \caption{Testing Each Operator Individually} +\end{figure} + +\begin{figure}[h] + \centering + \includegraphics[width=0.7\textwidth]{images/inconcert.png} + \caption{Testing Combinations of Operators} +\end{figure} + +These screenshots demonstrate that the program behaved as expected in each potential situation. +The program rejects invalid input, accepts valid input, and calculates the correct answer for each valid input, +regardless of which operators or which numbers are combined together. + + +\end{document} diff --git a/second/semester2/CT2109/Assignments/Assignment-02/latex/head.tex b/second/semester2/CT2109/Assignments/Assignment-02/latex/head.tex new file mode 100644 index 00000000..6c0a207a --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-02/latex/head.tex @@ -0,0 +1,49 @@ +\addtolength{\hoffset}{-2.25cm} +\addtolength{\textwidth}{4.5cm} +\addtolength{\voffset}{-3.25cm} +\addtolength{\textheight}{5cm} +\setlength{\parskip}{0pt} +\setlength{\parindent}{0in} + +%---------------------------------------------------------------------------------------- +% PACKAGES AND OTHER DOCUMENT CONFIGURATIONS +%---------------------------------------------------------------------------------------- + +\usepackage{blindtext} % Package to generate dummy text +\usepackage{charter} % Use the Charter font +\usepackage[utf8]{inputenc} % Use UTF-8 encoding +\usepackage{microtype} % Slightly tweak font spacing for aesthetics +\usepackage[english]{babel} % Language hyphenation and typographical rules +\usepackage{amsthm, amsmath, amssymb} % Mathematical typesetting +\usepackage{float} % Improved interface for floating objects +\usepackage[final, colorlinks = true, + linkcolor = black, + citecolor = black]{hyperref} % For hyperlinks in the PDF +\usepackage{graphicx, multicol} % Enhanced support for graphics +\usepackage{xcolor} % Driver-independent color extensions +\usepackage{marvosym, wasysym} % More symbols +\usepackage{rotating} % Rotation tools +\usepackage{censor} % Facilities for controlling restricted text +\usepackage{listings, style/lstlisting} % Environment for non-formatted code, !uses style file! +\usepackage{pseudocode} % Environment for specifying algorithms in a natural way +\usepackage{style/avm} % Environment for f-structures, !uses style file! +\usepackage{booktabs} % Enhances quality of tables +\usepackage{tikz-qtree} % Easy tree drawing tool +\tikzset{every tree node/.style={align=center,anchor=north}, + level distance=2cm} % Configuration for q-trees +\usepackage{style/btree} % Configuration for b-trees and b+-trees, !uses style file! +\usepackage[backend=biber,style=numeric, + sorting=nyt]{biblatex} % Complete reimplementation of bibliographic facilities +\addbibresource{ecl.bib} +\usepackage{csquotes} % Context sensitive quotation facilities +\usepackage[yyyymmdd]{datetime} % Uses YEAR-MONTH-DAY format for dates +\renewcommand{\dateseparator}{-} % Sets dateseparator to '-' +\usepackage{fancyhdr} % Headers and footers +\pagestyle{fancy} % All pages have headers and footers +\fancyhead{}\renewcommand{\headrulewidth}{0pt} % Blank out the default header +\fancyfoot[L]{} % Custom footer text +\fancyfoot[C]{} % Custom footer text +\fancyfoot[R]{\thepage} % Custom footer text +\newcommand{\note}[1]{\marginpar{\scriptsize \textcolor{red}{#1}}} % Enables comments in red on margin + +%---------------------------------------------------------------------------------------- diff --git a/second/semester2/CT2109/Assignments/Assignment-02/latex/images/doubledigit.png b/second/semester2/CT2109/Assignments/Assignment-02/latex/images/doubledigit.png new file mode 100644 index 00000000..1293a4be Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-02/latex/images/doubledigit.png differ diff --git a/second/semester2/CT2109/Assignments/Assignment-02/latex/images/illegalcharacters.png b/second/semester2/CT2109/Assignments/Assignment-02/latex/images/illegalcharacters.png new file mode 100644 index 00000000..82a25888 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-02/latex/images/illegalcharacters.png differ diff --git a/second/semester2/CT2109/Assignments/Assignment-02/latex/images/illegallength.png b/second/semester2/CT2109/Assignments/Assignment-02/latex/images/illegallength.png new file mode 100644 index 00000000..35cabd80 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-02/latex/images/illegallength.png differ diff --git a/second/semester2/CT2109/Assignments/Assignment-02/latex/images/inconcert.png b/second/semester2/CT2109/Assignments/Assignment-02/latex/images/inconcert.png new file mode 100644 index 00000000..35ea9507 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-02/latex/images/inconcert.png differ diff --git a/second/semester2/CT2109/Assignments/Assignment-02/latex/images/individualoperators.png b/second/semester2/CT2109/Assignments/Assignment-02/latex/images/individualoperators.png new file mode 100644 index 00000000..9d71a075 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-02/latex/images/individualoperators.png differ diff --git a/second/semester2/CT2109/Assignments/Assignment-02/latex/style/avm.sty b/second/semester2/CT2109/Assignments/Assignment-02/latex/style/avm.sty new file mode 100644 index 00000000..a872483c --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-02/latex/style/avm.sty @@ -0,0 +1,165 @@ +% avm.sty -- for attribute-value matrices -- mar 29, 1992; rev. dec 6, 1993 +% (c) 1992 christopher manning (manning@csli.stanford.edu) -- see avm.doc.tex + +\newif\ifavmactive\newif\ifavmsorted\newif\ifavmlabeled +\newif\ifavmcenter\newif\ifavmbottom +\newif\ifavmbottomright\newif\ifavmtopleft\newif\ifavmtopright + +\newdimen\avmdimen +\newbox\avmboxone\newbox\avmboxthree + +\def\avmoptions#1{\avmactivefalse\avmsortedfalse\avmlabeledfalse + \avmcenterfalse\avmbottomfalse + \avmbottomrightfalse\avmtopleftfalse\avmtoprightfalse + \def\more{#1}\ifx\more\empty\else\avmjoptions#1,\@nil\fi} +\def\avmjoptions#1,#2\@nil{\def\more{#2}\csname avm#1true\endcsname + \ifx\more\empty\else\avmjoptions#2\@nil\fi} + + +\def\avmfont#1{\def\avmjfont{#1}} +\def\avmjfont{} + +\def\avmvalfont#1{\def\avmjvalfont{#1}} +\def\avmjvalfont{} + +\def\avmsortfont#1{\def\avmjsortfont{#1}} +\def\avmjsortfont{} + +\def\avmhskip#1{\def\avmjhskip{#1}} +\def\avmjhskip{1em} + +\def\avmbskip#1{\def\avmjbskip{#1}} +\def\avmjbskip{0em} + +\def\avmvskip#1{\def\avmjvskip{#1}} +\def\avmjvskip{0.385ex}%was .3875 + + +\def\avmjprolog#1{$\mskip-\thinmuskip + \left#1\hskip\avmjbskip\vcenter\bgroup\vskip\avmjvskip + \ialign\bgroup\avmjfont + \strut ##\unskip\hfil + &&\hskip\avmjhskip\avmjvalfont ##\unskip\hfil\cr} +\def\avmjpostlog#1{\crcr\egroup\vskip\avmjvskip\egroup + \hskip\avmjbskip\right#1\mskip-\thinmuskip$\ignorespaces} + + +\def\avmjcatcode{\let\lparen=(\let\rparen=)\catcode`\[=13\catcode`\]=13 + \catcode`\<=13\catcode`\@=13\catcode`\(=13\catcode`\)=13 + \catcode`\>=13\catcode`\|=13} + +{\avmjcatcode % new group: redefine above catcodes as active + +\gdef\specialavm{\avmjcatcode +\def({\avmjprolog\lparen}% +\def){\avmjpostlog\rparen}% +\def<{\avmjprolog\langle}% +\def>{\avmjpostlog\rangle}% +\ifavmsorted +\def[##1{\setbox\avmboxthree=\hbox{\avmjsortfont##1\/}\setbox2=\hbox + \bgroup\avmjprolog\lbrack}% +\def]{\avmjpostlog\rbrack\egroup\avmjsort}% +\else\ifavmlabeled +\def[##1{\def\more{##1}\setbox2=\hbox\bgroup\avmjprolog[}% +\def]{\avmjpostlog]\egroup\node{\more}{\box2}}% +\else +\def[{\avmjprolog\lbrack}% +\def]{\avmjpostlog\rbrack}% +\fi\fi +% +\def\<{$\langle$}\def\>{$\rangle$}% +\def\({\lparen}\def\){\rparen}% +\def\[{\lbrack}\def\]{\rbrack}% +\def|{$\,\vert\,$}% +\def@##1{\avmbox{##1}}% +} % end defn of \specialavm +} % restore active catcodes + + +\long\def\avm{\begingroup +\ifavmactive\specialavm +\else +\def\({\avmjprolog(}% +\def\){\avmjpostlog)}% +\def\<{\avmjprolog\langle}% +\def\>{\avmjpostlog\rangle}% +% +\ifavmsorted +\def\[##1{\setbox\avmboxthree=\hbox{\avmjsortfont##1\/}\setbox + 2=\hbox\bgroup\avmjprolog[}% +\def\]{\avmjpostlog]\egroup\avmjsort}% +\else\ifavmlabeled +\def\[##1{\def\more{##1}\setbox2=\hbox\bgroup\avmjprolog[}% +\def\]{\avmjpostlog]\egroup\node{\more}{\box2}}% +\else +\def\[{\avmjprolog[}% +\def\]{\avmjpostlog]}% +\fi\fi +% +\def\|{$\,\vert\,$}% +\def\@##1{\avmbox{##1}}% +\fi % end not active +% +\ifx\LaTeX\undefined\def\\{\cr}% running under TeX +\else \def\\{\@tabularcr}% Leverage off LaTeX's \\*[dimen] options +\fi +\def\!{\node}% +\long\def\avmjsort{\dimen2=\ht2\advance\dimen2 by -.25\baselineskip + \global\dimen\avmdimen=\wd\avmboxthree + \ifavmtopleft \raise\dimen2\llap{\box\avmboxthree}\box2% + \else\ifavmtopright \box2\raise\dimen2\box\avmboxthree% + \else\ifavmbottomright \box2\lower\dimen2\box\avmboxthree% + \else \lower\dimen2\llap{\box\avmboxthree}\box2% + \fi\fi\fi}% +\long\def\sort##1##2{\setbox2=\hbox{##2}\setbox + \avmboxthree=\hbox{\avmjsortfont##1\/}\dimen2=\ht2 + \advance\dimen2 by -.25\baselineskip + \ifavmtopleft \raise\dimen2\box\avmboxthree\box2% + \else\ifavmtopright \box2\raise\dimen2\box\avmboxthree% + \else\ifavmbottomright \box2\lower\dimen2\box\avmboxthree% + \else \lower\dimen2\box\avmboxthree\box2% + \fi\fi\fi}% +\long\def\osort##1##2{\setbox2=\hbox{##2}\setbox + \avmboxthree=\hbox{\avmjsortfont ##1\/}\avmjsort}% +\def\avml{\avmjprolog.}% +\def\avmr{\avmjpostlog.}% +\def\avmb##1{\node{##1}{\lbrack\;\rbrack}}% +\def\avmd##1{\node{##1}{---}}% +\def\q##1{\ifx ##1\{$\lbrace$\else + \ifx ##1\}$\rbrace$\else + \ifx ##1<$\langle$\else + \ifx ##1>$\rangle$\fi \fi \fi \fi}% +\def\{{\avmjprolog\lbrace}% +\def\}{\avmjpostlog\rbrace}% +\def\;{\hskip\avmjhskip}% +\def\avmspan##1{\multispan2\strut ##1\expandafter\hfil}% +\avmjfont +\openup\avmjvskip +\setbox\avmboxone=\hbox\bgroup\ignorespaces +} % end defn of \avm + + +\def\endavm{\egroup\ifvmode\leavevmode\fi % this if is useful! + \ifavmsorted\null\hskip\dimen\avmdimen\fi + \ifavmcenter + \box\avmboxone + \else \ifavmbottom + \lower.575\baselineskip\hbox{\vbox{\box\avmboxone\null}}% + \else +% the next bit is ripped off from Emma's \evnup in lingmacros.sty + \dimen2=\ht\avmboxone\advance\dimen2 by -.725\baselineskip + \lower\dimen2\box\avmboxone +\fi \fi \endgroup} + + +% based on TeXbook exercise 21.3 +\def\avmbox#1{\setbox2=\hbox{$\scriptstyle #1$}\lower.2ex\vbox{\hrule + \hbox{\vrule\kern1.25pt + \vbox{\kern1.25pt\box2\kern1.25pt}\kern1.25pt\vrule}\hrule}} + +% ============ COSTOM CONFIGURATION ============= +\avmfont{\sc} +\avmoptions{sorted,active} +\avmvalfont{\rm} +\avmsortfont{\scriptsize\it} +% =============================================== \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-02/latex/style/btree.sty b/second/semester2/CT2109/Assignments/Assignment-02/latex/style/btree.sty new file mode 100644 index 00000000..edec4533 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-02/latex/style/btree.sty @@ -0,0 +1,131 @@ +%% Last Modified: Thu Oct 18 18:26:25 2007. + +\NeedsTeXFormat{LaTeX2e} +\ProvidesPackage{style/btree} +\typeout{Document Style `weiw_BTree - Support drawing B+-Tree (ver 0.999)} + +\RequirePackage{tikz} +\RequirePackage{ifthen} + +% use libraries +\usetikzlibrary{arrows,shapes,decorations,matrix} + + +%% global declaration +\tikzstyle{btreeptr} = [draw, semithick, minimum height=2em] +\tikzstyle{btreeval} = [draw, semithick, minimum size=2em] +\tikzstyle{btreevale} = [draw,semithick, minimum size=2em] +\tikzstyle{btlink} = [draw, semithick, ->, >=triangle 45] + +%% macro +%% helper macros +\newcommand{\suppressemptystr}[1]{% leave blank for entries in leaf nodes + \ifthenelse{\equal{#1}{}}% + {% + \relax% + }% + % Else + {% + #1\textsuperscript{*}% + }% +}% + +\newcommand{\xyshift}[3]{% help to place the nodes + \begin{scope}[xshift=#1, yshift=#2] + #3 + \end{scope}% +} + +%% Common btree macros +\newcommand{\btreelink}[2]{% #1: src node; #2: dest node; + \draw[btlink] ([yshift=3pt] #1.south) -- (#2-b.north); +} + +\newcommand{\btreelinknorth}[2]{% #1: src node; #2: dest node; + \draw[btlink] ([yshift=3pt] #1.south) -- (#2.north); +} + +\newcommand{\btreetriangle}[2]{% #1: node name; #2 text inside + \node[anchor=north, regular polygon, regular polygon sides=3, draw] (#1) {#2}; +} + +%%====================================================================== +%% btree with capacity = 4 +\newcommand{\btreeinodefour}[5]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \& \node[btreeval] (#1-c) {#4}; \& + \node[btreeptr] (#1-4) {\vphantom{1}}; \& \node[btreeval] (#1-d) {#5}; \& + \node[btreeptr] (#1-5) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodefour}[5]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \& + \node[btreevale] (#1-c) {\suppressemptystr{#4}}; \& + \node[btreevale] (#1-d) {\suppressemptystr{#5}}; \\ + }; +} + +%%====================================================================== +%% btree with capacity = 3 +\newcommand{\btreeinodethree}[4]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \& \node[btreeval] (#1-c) {#4}; \& + \node[btreeptr] (#1-4) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodethree}[4]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \& + \node[btreevale] (#1-c) {\suppressemptystr{#4}}; \\ + }; +} + +%%====================================================================== +%% btree with capacity = 2 +\newcommand{\btreeinodetwo}[4]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodetwo}[3]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \\ + }; +} +%%====================================================================== + + + + +%% simple example +% \begin{center} +% \scalebox{0.7}{ +% \begin{tikzpicture} +% % +% \btreeinodefour{root}{13}{17}{24}{30}; +% \xyshift{-40mm}{-20mm}{\btreelnodefour{n1}{2}{3}{5}{7}} +% \xyshift{-0mm}{-20mm}{\btreelnodefour{n2}{14}{16}{}{}} +% \xyshift{40mm}{-20mm}{\btreelnodefour{n3}{19}{20}{22}{}} +% \xyshift{80mm}{-20mm}{\btreelnodefour{n4}{24}{27}{29}{}} +% \xyshift{120mm}{-20mm}{\btreelnodefour{n5}{33}{34}{38}{39}} +% % +% \foreach \x in {1,2,...,5} { \btreelink{root-\x}{n\x} } +% \end{tikzpicture} +% } +% \end{center} \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-02/latex/style/image.png b/second/semester2/CT2109/Assignments/Assignment-02/latex/style/image.png new file mode 100644 index 00000000..a76881b5 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-02/latex/style/image.png differ diff --git a/second/semester2/CT2109/Assignments/Assignment-02/latex/style/lstlisting.sty b/second/semester2/CT2109/Assignments/Assignment-02/latex/style/lstlisting.sty new file mode 100644 index 00000000..3d6ba743 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-02/latex/style/lstlisting.sty @@ -0,0 +1,38 @@ +% Source: ss17_wissschreib (Eva) + +\lstset{ + basicstyle=\ttfamily\scriptsize\mdseries, + keywordstyle=\bfseries\color[rgb]{0.171875, 0.242188, 0.3125}, + identifierstyle=, + commentstyle=\color[rgb]{0.257813, 0.15625, 0}, + stringstyle=\itshape\color[rgb]{0.0195313, 0.195313, 0.0117188}, + numbers=left, + numberstyle=\tiny, + stepnumber=1, + breaklines=true, + frame=none, + showstringspaces=false, + tabsize=4, + backgroundcolor=\color[rgb]{0.98,0.98,0.98}, + captionpos=b, + float=htbp, + language=Python, + xleftmargin=15pt, + xrightmargin=15pt +} + +%(deutsche) Sonderzeichen +\lstset{literate=% + {Ä}{{\"A}}1 + {Ö}{{\"O}}1 + {Ü}{{\"U}}1 + {ä}{{\"a}}1 + {ö}{{\"o}}1 + {ü}{{\"u}}1 + {ß}{{\ss}}1 +} + +%Verwendung im Text: +%-> \begin{lstlisting}[language=Python,firstnumber=27] ... \end{lstlisting} +%-> \begin{lstlisting}[language=Python,numbers=none] ... \end{lstlisting} +%-> \lstinline[language=JAVA]{...} \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-03/Assignment 3 - 2023.pdf b/second/semester2/CT2109/Assignments/Assignment-03/Assignment 3 - 2023.pdf new file mode 100644 index 00000000..e8837f90 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-03/Assignment 3 - 2023.pdf differ diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/ArrayQueue.java b/second/semester2/CT2109/Assignments/Assignment-03/code/ArrayQueue.java new file mode 100644 index 00000000..cf138913 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/ArrayQueue.java @@ -0,0 +1,69 @@ +import javax.swing.JOptionPane; + +/** + * Array implementation of Queue ADT + */ + +public class ArrayQueue implements Queue +{ + protected Object Q[]; // array used to implement the queue + protected int rear = -1; // index for the rear of the queue + protected int capacity; // The actual capacity of the queue array + public static final int CAPACITY = 1000; // default array capacity + + public ArrayQueue() { + // default constructor: creates queue with default capacity + this(CAPACITY); + } + + public ArrayQueue(int cap) { + // this constructor allows you to specify capacity + capacity = (cap > 0) ? cap : CAPACITY; + Q = new Object[capacity]; + } + + public void enqueue(Object n) + { + if (isFull()) { + JOptionPane.showMessageDialog(null, "Cannot enqueue object; queue is full."); + return; + } + rear++; + Q[rear] = n; + } + + public Object dequeue() + { + // Can't do anything if it's empty + if (isEmpty()) + return null; + + Object toReturn = Q[0]; + + // shuffle all other objects towards 0 + int i = 1; + while (i <= rear) { + Q[i-1] = Q[i]; + i++; + } + + rear--; + return toReturn; + } + + public boolean isEmpty() { + return (rear < 0); + } + + public boolean isFull() { + return (rear == capacity-1); + } + + public Object front() + { + if (isEmpty()) + return null; + + return Q[0]; + } +} diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/ArrayStack.java b/second/semester2/CT2109/Assignments/Assignment-03/code/ArrayStack.java new file mode 100644 index 00000000..c7ec5c9b --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/ArrayStack.java @@ -0,0 +1,63 @@ +/** Array implementation of Stack ADT */ + +import javax.swing.JOptionPane; + +public class ArrayStack implements Stack +{ + protected int capacity; // The actual capacity of the stack array + protected static final int CAPACITY = 1000; // default array capacity + protected Object S[]; // array used to implement the stack + protected int top = -1; // index for the top of the stack + + public ArrayStack() { + // default constructor: creates stack with default capacity + this(CAPACITY); + } + + public ArrayStack(int cap) { + // this constructor allows you to specify capacity of stack + capacity = (cap > 0) ? cap : CAPACITY; + S = new Object[capacity]; + } + + public void push(Object element) { + if (isFull()) { + JOptionPane.showMessageDialog(null, "ERROR: Stack is full."); + return; + } + top++; + S[top] = element; + } + + public Object pop() { + Object element; + if (isEmpty()) { + JOptionPane.showMessageDialog(null, "ERROR: Stack is empty."); + return null; + } + element = S[top]; + S[top] = null; + top--; + return element; + } + + public Object top() { + if (isEmpty()) { + JOptionPane.showMessageDialog(null, "ERROR: Stack is empty."); + return null; + } + return S[top]; + } + + public boolean isEmpty() { + return (top < 0); + } + + public boolean isFull() { + return (top == capacity-1); + } + + public int size() { + return (top + 1); + } + } \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/IVersusNMinusI.java b/second/semester2/CT2109/Assignments/Assignment-03/code/IVersusNMinusI.java new file mode 100644 index 00000000..c71c813a --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/IVersusNMinusI.java @@ -0,0 +1,21 @@ +// class to implement Method 2 +public class IVersusNMinusI implements PalindromeChecker { + // method 2 - comparing each element at index i to the element at n - i where n is the last index + @Override + public boolean checkPalindrome(String str) { + // looping through the first half of the String + NewPalindrome.operations[1]++; + for (int i = 0; i < Math.floor(str.length() / 2); i++) { + NewPalindrome.operations[1] += 1 + 1 + 1 + 1; // 1 for the getting str.length(), 1 for Math,floor, 1 for checking condition, 1 for incrementing + + // returning false if the digits don't match + NewPalindrome.operations[1] += 1 + 1 + 1 + 1; // 1 for str.charAt(i), 1 for ((str.lenght() -1) - 1), 1 for the other str.charAt(), 1 for checking the condition + if (str.charAt(i) != str.charAt((str.length()-1) - i)) { + return false; + } + } + + // returning true as default + return true; + } +} diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/NewPalindrome.java b/second/semester2/CT2109/Assignments/Assignment-03/code/NewPalindrome.java new file mode 100644 index 00000000..775d8b87 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/NewPalindrome.java @@ -0,0 +1,93 @@ +import java.io.*; + +public class NewPalindrome { + public static long[] operations = new long[4]; // array to contain the global operations count for each method + public static int[] decCount = new int[4]; // array to hold the count of decimal palindromes found using each method + public static int[] binCount = new int[4]; // array to hold the count of binary palindromes found using each method + public static int[] bothCount = new int[4]; // array to hold the count of numbers that are palindromes in both decimal & binary found using each method + public static long[] startTime = new long[4]; // array to hold the start time of each method's test loop + public static long[] totalTime = new long[4]; // array to hold the total time of each method's test loop + + // array to hold all the String versions of the numbers so that they don't have to be generated for each method + // 0th column will be decimal, 1st column will be binary + public static String[][] strings = new String[1_000_001][2]; + + // array of StringBuilder objects used to hold the csv data (size of problem, number of operations) for each method + public static StringBuilder[] data = new StringBuilder[4]; + + // array of the four classes that will be tested + public static PalindromeChecker[] palindromeCheckers = {new ReverseVSOriginal(), new IVersusNMinusI(), new StackVSQueue(), new RecursiveReverse()}; + + public static void main(String args[]) { + // initialising the data array to StringBuilder objects + for (int i = 0; i < 4; i++) { + data[i] = new StringBuilder("operations,size\n"); + } + + // filling up the strings array + for (int i = 0; i <= 1_000_000; i++) { + strings[i][0] = Integer.toString(i, 10); // converting i to a String base 10 + strings[i][1] = binary2string(strings[i][0]); // converting the decimal String to a binary String + + } + // looping through each PalindromeChecker object in the palindromeCheckers array + for (int j = 0; j < 4; j++) { + // getting start time + startTime[j] = System.currentTimeMillis(); operations[j]++; + + // looping through the numbers 0 to 1,000,000 and checking if their binary & decimal representations are palindromic + operations[j]++; + for (int i = 0; i <= 1_000_000; i++) { + // incrementing the operations count by 2, 1 for the loop condition check and 1 for incrementing i + operations[j] += 2; + + // converting the number to a decimal or binary String and checking if is a palindrome + boolean isDecPalindrome = palindromeCheckers[j].checkPalindrome(strings[i][0]); operations[j]++; + boolean isBinPalindrome = palindromeCheckers[j].checkPalindrome(strings[i][1]); operations[j]++; + + // incrementing the appropriate counter if the number is a palindrome in that base + decCount[j] = isDecPalindrome ? decCount[j] + 1 : decCount[j]; operations[j] += 1 + 1; // incremnting by 2, 1 for assignment, 1 for condition check + binCount[j] = isBinPalindrome ? binCount[j] + 1 : binCount[j]; operations[j] += 1 + 1; + bothCount[j] = isDecPalindrome && isBinPalindrome ? bothCount[j] + 1 : bothCount[j]; operations[j] += 1 + 1 +1; // 2 condition checks and one assignment, so incrementing by 3 + + // appending to the data StringBuilder at intervals of 50,000 + if (i % 50_000 == 0) { + data[j].append(operations[j] + "," + i + "\n"); + } + } + + // calculating total time taken for method 1 and printing out the results + totalTime[j] = System.currentTimeMillis() - startTime[j]; operations[j] += 1 + 1; // incrementing by 2, 1 for getting current time and subtracting start time, 1 for assignment + + System.out.println("Number of decimal palindromes found using Method " + j + ": " + decCount[j]); + System.out.println("Number of binary palindromes found using Method " + j + ": " + binCount[j]); + System.out.println("Number of palindromes in both decimal & binary found using Method " + j + ": " + bothCount[j]); + System.out.println("Number of primitive operations taken in Method " + j + ": " + operations[j]); + System.out.println("Time taken for Method " + j + ": " + totalTime[j] + " milliseconds"); + System.out.println(); + + // outputting the data to separate csv files + try { + String filename = "method" + j + ".csv"; + File csv = new File(filename); + + // creating file if it doesn't already exist + csv.createNewFile(); + + FileWriter writer = new FileWriter(filename); + writer.write(data[j].toString()); + writer.close(); + + } catch (IOException e) { + System.out.println("IO Error occurred"); + e.printStackTrace(); + System.exit(1); + } + } + } + + // utility method to convert a decimal String to its equivalent binary String + public static String binary2string(String decimalStr) { + return Integer.toString(Integer.parseInt(decimalStr), 2); // parsing the String to an int and then parsing that int to a binary String + } +} diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/Palindrome.java b/second/semester2/CT2109/Assignments/Assignment-03/code/Palindrome.java new file mode 100644 index 00000000..fb9083ea --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/Palindrome.java @@ -0,0 +1,320 @@ +import java.io.*; + +public class Palindrome { + // global operations count for each method + public static long operations1 = 0; + public static long operations2 = 0; + public static long operations3 = 0; + public static long operations4 = 0; + + // String objects used to hold the csv data (size of problem, number of operations) for each method + public static StringBuilder data1 = new StringBuilder("operations,size\n"); + public static StringBuilder data2 = new StringBuilder("operations,size\n"); + public static StringBuilder data3 = new StringBuilder("operations,size\n"); + public static StringBuilder data4 = new StringBuilder("operations,size\n"); + + public static void main(String args[]) { + // generating all the String versions of the numbers so that they don't have to be generated for each method + // 0th column will be decimal, 1st column will be binary + String[][] strings = new String[1_000_001][2]; + for (int i = 0; i <= 1_000_000; i++) { + strings[i][0] = Integer.toString(i, 10); // converting i to a String base 10 + strings[i][1] = binary2string(strings[i][0]); // converting the decimal String to a binary String + + } + + // variables for method 1 - reversed order String vs original String + int decCount1 = 0; operations1++; // count of decimal palindromes for use by method 1 + int binCount1 = 0; operations1++; // count of binary palindromes for use by method 1 + int bothCount1 = 0; operations1++; // count of numbers that are palindromic in both binary & decimal for use by method 1 + + long startTime1 = System.currentTimeMillis(); operations1 += 1 + 1; + + // testing method 1 - reversed order String vs original String + // incrementing the operations counter for the initialisation of i below + operations1++; + for (int i = 0; i <= 1_000_000; i++) { + // incrementing the operations count by 2, 1 for the loop condition check and 1 for incrementing i + operations1 += 2; + + // converting the number to a decimal or binary String and checking if is a palindrome + boolean isDecPalindrome = reverseVSoriginal(strings[i][0]); operations1++; + boolean isBinPalindrome = reverseVSoriginal(strings[i][1]); operations1++; + + // incrementing the appropriate counter if the number is a palindrome in that base + decCount1 = isDecPalindrome ? decCount1 + 1 : decCount1; operations1 += 1 + 1; // incremnting by 2, 1 for assignment, 1 for condition check + binCount1 = isBinPalindrome ? binCount1 + 1 : binCount1; operations1 += 1 + 1; + bothCount1 = isDecPalindrome && isBinPalindrome ? bothCount1 + 1 : bothCount1; operations1 += 1 + 1 +1; // 2 condition checks and one assignment, so incrementing by 3 + + // appending to the data StringBuilder at intervals of 50,000 + if (i % 50_000 == 0) { + data1.append(operations1 + "," + i + "\n"); + } + } + + // calculating total time taken for method 1 and printing out the results + long totalTime1 = System.currentTimeMillis() - startTime1; operations1 += 1 + 1; // incrementing by 2, 1 for getting current time and subtracting start time, 1 for assignment + + System.out.println("Number of decimal palindromes found using Method 1: " + decCount1); + System.out.println("Number of binary palindromes found using Method 1: " + binCount1); + System.out.println("Number of palindromes in both decimal & binary found using Method 1: " + bothCount1); + System.out.println("Number of primitive operations taken in Method 1: " + operations1); + System.out.println("Time taken for Method 1: " + totalTime1 + " milliseconds"); + + // variables for method 2 - comparing each element at index i to the element at n - i where n is the last index + int decCount2 = 0; operations2++; // count of decimal palindromes for use by method 2 + int binCount2 = 0; operations2++; // count of binary palindromes for use by method 2 + int bothCount2 = 0; operations2++; // count of numbers that are palindromic in both binary & decimal for use by method 2 + + long startTime2 = System.currentTimeMillis(); operations2 += 1 + 1; + + // testingmethod 2 - comparing each element at index i to the element at n - i where n is the last index + operations2++; + for (int i = 0; i <= 1_000_000; i++) { + operations2 += 1 + 1; + + // converting the number to a decimal or binary String and checking if is a palindrome + boolean isDecPalindrome = iVSiMinusn(strings[i][0]); operations2++; + boolean isBinPalindrome = iVSiMinusn(strings[i][1]); operations2++; + + // incrementing the appropriate counter if the number is a palindrome in that base + decCount2 = isDecPalindrome ? decCount2 + 1 : decCount2; operations2 += 1 + 1; + binCount2 = isBinPalindrome ? binCount2 + 1 : binCount2; operations2 += 1 + 1; + bothCount2 = isDecPalindrome && isBinPalindrome ? bothCount2 + 1 : bothCount2; operations2 += 1 + 1 +1; + + // appending to the data StringBuilder at intervals of 50,000 + if (i % 50_000 == 0) { + data2.append(operations2 + "," + i + "\n"); + } + } + + // calculating total time taken for method 2 and printing out the results + long totalTime2 = System.currentTimeMillis() - startTime2; operations2 += 1 + 1; + + System.out.println(); + System.out.println("Number of decimal palindromes found using Method 2: " + decCount2); + System.out.println("Number of binary palindromes found using Method 2: " + binCount2); + System.out.println("Number of palindromes in both decimal & binary found using Method 2: " + bothCount2); + System.out.println("Number of primitive operations taken in Method 2: " + operations2); + System.out.println("Time taken for Method 2: " + totalTime2 + " milliseconds"); + + // variables for method 3 - comparing each element at index i to the element at n - i where n is the last index + int decCount3 = 0; operations3++; // count of decimal palindromes for use by method 3 + int binCount3 = 0; operations3++; // count of binary palindromes for use by method 3 + int bothCount3 = 0; operations3++; // count of numbers that are palindromic in both binary & decimal for use by method 3 + + long startTime3 = System.currentTimeMillis(); operations3 += 1 + 1; + + // testingmethod 3 - comparing each element at index i to the element at n - i where n is the last index + operations3++; + for (int i = 0; i <= 1_000_000; i++) { + operations3 += 1 + 1; + // converting the number to a decimal or binary String and checking if is a palindrome + boolean isDecPalindrome = stackVsqueue(strings[i][0]); operations3++; + boolean isBinPalindrome = stackVsqueue(strings[i][1]); operations3++; + + // incrementing the appropriate counter if the number is a palindrome in that base + decCount3 = isDecPalindrome ? decCount3 + 1 : decCount3; operations3 += 1 + 1; + binCount3 = isBinPalindrome ? binCount3 + 1 : binCount3; operations3 += 1 + 1; + bothCount3 = isDecPalindrome && isBinPalindrome ? bothCount3 + 1 : bothCount3; operations3 += 1 + 1 + 1; + + // appending to the data StringBuilder at intervals of 50,000 + if (i % 50_000 == 0) { + data3.append(operations3 + "," + i + "\n"); + } + } + + // calculating total time taken for method 3 and printing out the results + long totalTime3 = System.currentTimeMillis() - startTime3; operations3 += 1 + 1; + + System.out.println(); + System.out.println("Number of decimal palindromes found using Method 3: " + decCount3); + System.out.println("Number of binary palindromes found using Method 3: " + binCount3); + System.out.println("Number of palindromes in both decimal & binary found using Method 3: " + bothCount3); + System.out.println("Number of primitive operations taken in Method 3: " + operations3); + System.out.println("Time taken for Method 3: " + totalTime3 + " milliseconds"); + + // variables for method 4 - comparing each element at index i to the element at n - i where n is the last index + int decCount4 = 0; operations4++; // count of decimal palindromes for use by method 4 + int binCount4 = 0; operations4++; // count of binary palindromes for use by method 4 + int bothCount4 = 0; operations4++; // count of numbers that are palindromic in both binary & decimal for use by method 4 + + long startTime4 = System.currentTimeMillis(); operations4 += 1 + 1; + + // testingmethod 4 - comparing each element at index i to the element at n - i where n is the last index + operations4++; + for (int i = 0; i <= 1_000_000; i++) { + operations4 += 2; + + // converting the number to a decimal or binary String and checking if is a palindrome + boolean isDecPalindrome = recursiveReverseVSoriginal(strings[i][0]); operations4++; + boolean isBinPalindrome = recursiveReverseVSoriginal(strings[i][1]); operations4++; + + // incrementing the appropriate counter if the number is a palindrome in that base + decCount4 = isDecPalindrome ? decCount4 + 1 : decCount4; operations4 += 1 + 1; + binCount4 = isBinPalindrome ? binCount4 + 1 : binCount4; operations4 += 1 + 1; + bothCount4 = isDecPalindrome && isBinPalindrome ? bothCount4 + 1 : bothCount4; operations4 += 1 + 1 + 1; + + // appending to the data StringBuilder at intervals of 50,000 + if (i % 50_000 == 0) { + data4.append(operations4 + "," + i + "\n"); + } + } + + // calculating total time taken for method 4 and printing out the results + long totalTime4 = System.currentTimeMillis() - startTime4; operations4 += 1 + 1; + + System.out.println(); + System.out.println("Number of decimal palindromes found using Method 4: " + decCount4); + System.out.println("Number of binary palindromes found using Method 4: " + binCount4); + System.out.println("Number of palindromes in both decimal & binary found using Method 4: " + bothCount4); + System.out.println("Number of primitive operations taken in Method 4: " + operations4); + System.out.println("Time taken for Method 4: " + totalTime4 + " milliseconds"); + + // outputting the data to separate csv files + try { + File csv1 = new File("method1.csv"); + File csv2 = new File("method2.csv"); + File csv3 = new File("method3.csv"); + File csv4 = new File("method4.csv"); + + // creating files if they don't already exist + csv1.createNewFile(); + csv2.createNewFile(); + csv3.createNewFile(); + csv4.createNewFile(); + + FileWriter writer1 = new FileWriter("method1.csv"); + writer1.write(data1.toString()); + writer1.close(); + + FileWriter writer2 = new FileWriter("method2.csv"); + writer2.write(data2.toString()); + writer2.close(); + + FileWriter writer3 = new FileWriter("method3.csv"); + writer3.write(data3.toString()); + writer3.close(); + + FileWriter writer4 = new FileWriter("method4.csv"); + writer4.write(data4.toString()); + writer4.close(); + } catch (IOException e) { + System.out.println("IO Error occurred"); + e.printStackTrace(); + System.exit(1); + } + } + + // method 1 - reversed order String vs original String + public static boolean reverseVSoriginal(String str) { + String reversedStr = ""; operations1++; + + // looping through each character in the String, backwards + // incrementing operations counter by 2, 1 for initialisating i, 1 for getting str.length() + operations1 += 1 + 1; + for (int i = str.length(); i > 0; i--) { + operations1 += 1 + 1; // for loop condition check & incrementing i + + reversedStr += str.charAt(i-1); operations1 += 1 + 1; + } + + // returning true if the Strings are equal, false if not + operations1 += str.length(); // the equals method must loop through each character of the String to check that they are equal so it is O(n) + return str.equals(reversedStr); + } + + // method 2 - comparing each element at index i to the element at n - i where n is the last index + public static boolean iVSiMinusn(String str) { + // looping through the first half of the String + operations2++; + for (int i = 0; i < Math.floor(str.length() / 2); i++) { + operations2 += 1 + 1 + 1 + 1; // 1 for the getting str.length(), 1 for Math,floor, 1 for checking condition, 1 for incrementing + + // returning false if the digits don't match + operations2 += 1 + 1 + 1 + 1; // 1 for str.charAt(i), 1 for ((str.lenght() -1) - 1), 1 for the other str.charAt(), 1 for checking the condition + if (str.charAt(i) != str.charAt((str.length()-1) - i)) { + return false; + } + } + + // returning true as default + return true; + } + + // method 3 - using a stack and a queue to do, essentially, what method 2 does + public static boolean stackVsqueue(String str) { + ArrayStack stack = new ArrayStack(); operations3 += 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1; + ArrayQueue queue = new ArrayQueue(); operations3 += 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1; + + // looping through each character in the String and adding the character to the stack & queue + operations3++; + for (int i = 0; i < str.length(); i++) { + operations3 += 1 + 1 + 1; + + stack.push(str.charAt(i)); operations3 += 1 + 1 + 1 + 1; + queue.enqueue(str.charAt(i)); operations3 += 1 + 1 + 1 + 1; + } + + // looping through each character on the stack & queue and comparing them, returning false if they're different + operations3++; + for (int i = 0; i < str.length(); i++) { + operations3 += 1 + 1 + 1; + + operations3 += 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1; + if (!stack.pop().equals(queue.front())) { + return false; + } + + // the complexity of ArrayQueue.dequeue() is 3n+2, where n is the number of items in the queue when dequeue() is called. + // we need to determine the number of items in the queue so that we can determine the number of primitive operations performed when queue.dequeue() is called. + // to do this, we'll loop through the queue, dequeuing each object and enqueueing it in another ArrayQueue. once complete, we'll reassign the variable queue to point to the new ArrayQueue containing all the objects + ArrayQueue newQueue = new ArrayQueue(); // not counting the operations for this as it's not part of the algorithm, it's part of the operations counting + int n = 0; // n is the number of items in the ArrayQueue when dequeue() is called + + while (!queue.isEmpty()) { + newQueue.enqueue(queue.dequeue()); + n++; + } + + queue = newQueue; // setting queue to point to the newQueue, which is just the state that queue would have been in if we didn't do this to calculate the primitive operations + newQueue = null; // don't need the newQueue object reference anymore + + operations3 += 3*n + 2; // complexity of dequeue is 3n+2 + queue.dequeue(); + } + + return true; + } + + // method 4 - comparing the String reversed using recursion to the original String (essentially method 1 but with recursion) + public static boolean recursiveReverseVSoriginal(String str) { + // returning true if the original String is equal to the reversed String, false if not + operations4++; + return str.equals(reverse(str)); + } + + // method to reverse the characters in a String using recursion + public static String reverse(String str) { + // base case - returning an empty String if there is no character left in the String + operations4++; + if (str.length() == 0) { + return ""; + } + else { + char firstChar = str.charAt(0); operations4 += 1 + 1; + String remainder = str.substring(1); operations4 += 1 + 1; // selecting the rest of the String, excluding the 0th character + + // recursing with what's left of the String + String reversedRemainder = reverse(remainder); operations4++; + + // returning the reversed rest of String with the first character of the String appended + return reversedRemainder + firstChar; + } + } + + // utility method to convert a decimal String to its equivalent binary String + public static String binary2string(String decimalStr) { + return Integer.toString(Integer.parseInt(decimalStr), 2); // parsing the String to an int and then parsing that int to a binary String + } +} diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/PalindromeChecker.java b/second/semester2/CT2109/Assignments/Assignment-03/code/PalindromeChecker.java new file mode 100644 index 00000000..d0ad1860 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/PalindromeChecker.java @@ -0,0 +1,3 @@ +public interface PalindromeChecker { + public boolean checkPalindrome(String str); +} diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/Queue.java b/second/semester2/CT2109/Assignments/Assignment-03/code/Queue.java new file mode 100644 index 00000000..12d8e7c3 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/Queue.java @@ -0,0 +1,14 @@ +/* + * Abstract Queue interface + */ + +public interface Queue { + // most important methods + public void enqueue(Object n); // add an object at the rear of the queue + public Object dequeue(); // remove an object from the front of the queue + + // others + public boolean isEmpty(); // true if queue is empty + public boolean isFull(); // true if queue is full (if it has limited storage) + public Object front(); // examine front object on queue without removing it +} \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/RecursiveReverse.java b/second/semester2/CT2109/Assignments/Assignment-03/code/RecursiveReverse.java new file mode 100644 index 00000000..0bc5c08b --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/RecursiveReverse.java @@ -0,0 +1,29 @@ +// class to implement method 4 +public class RecursiveReverse implements PalindromeChecker { + // comparing the String reversed using recursion to the original String (essentially method 1 but with recursion) + @Override + public boolean checkPalindrome(String str) { + // returning true if the original String is equal to the reversed String, false if not + NewPalindrome.operations[3]++; + return str.equals(reverse(str)); + } + + // method to reverse the characters in a String using recursion + public static String reverse(String str) { + // base case - returning an empty String if there is no character left in the String + NewPalindrome.operations[3]++; + if (str.length() == 0) { + return ""; + } + else { + char firstChar = str.charAt(0); NewPalindrome.operations[3] += 1 + 1; + String remainder = str.substring(1); NewPalindrome.operations[3] += 1 + 1; // selecting the rest of the String, excluding the 0th character + + // recursing with what's left of the String + String reversedRemainder = reverse(remainder); NewPalindrome.operations[3]++; + + // returning the reversed rest of String with the first character of the String appended + return reversedRemainder + firstChar; + } + } +} diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/ReverseVSOriginal.java b/second/semester2/CT2109/Assignments/Assignment-03/code/ReverseVSOriginal.java new file mode 100644 index 00000000..6e72a55c --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/ReverseVSOriginal.java @@ -0,0 +1,21 @@ +// class to implement Method 3 +public class ReverseVSOriginal implements PalindromeChecker { + // method 1 - reversed order String vs original String + @Override + public boolean checkPalindrome(String str) { + String reversedStr = ""; NewPalindrome.operations[0]++; + + // looping through each character in the String, backwards + // incrementing operations counter by 2, 1 for initialisating i, 1 for getting str.length() + NewPalindrome.operations[0] += 1 + 1; + for (int i = str.length(); i > 0; i--) { + NewPalindrome.operations[0] += 1 + 1; // for loop condition check & incrementing i + + reversedStr += str.charAt(i-1); NewPalindrome.operations[0] += 1 + 1; + } + + // returning true if the Strings are equal, false if not + NewPalindrome.operations[0] += str.length(); // the equals method must loop through each character of the String to check that they are equal so it is O(n) + return str.equals(reversedStr); + } +} diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/Stack.java b/second/semester2/CT2109/Assignments/Assignment-03/code/Stack.java new file mode 100644 index 00000000..844748af --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/Stack.java @@ -0,0 +1,13 @@ +/** Abstract Stack interface */ + +public interface Stack +{ + // most important methods + public void push(Object n); // push an object onto top of the stack + public Object pop(); // pop an object from top of the stack + + // others + public Object top(); // examine top object on stack without removing it + public boolean isEmpty(); // true if stack is empty + public boolean isFull(); // true if stack is full (if it has limited storage) +} \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/StackVSQueue.java b/second/semester2/CT2109/Assignments/Assignment-03/code/StackVSQueue.java new file mode 100644 index 00000000..ea5a2ab4 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/StackVSQueue.java @@ -0,0 +1,48 @@ +// class to implement method 3 +public class StackVSQueue implements PalindromeChecker { + // method 3 - using a stack and a queue to do, essentially, what method 2 does (compare the first index to the last index, etc.) + @Override + public boolean checkPalindrome(String str) { + ArrayStack stack = new ArrayStack(); NewPalindrome.operations[2] += 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1; + ArrayQueue queue = new ArrayQueue(); NewPalindrome.operations[2] += 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1; + + // looping through each character in the String and adding the character to the stack & queue + NewPalindrome.operations[2]++; + for (int i = 0; i < str.length(); i++) { + NewPalindrome.operations[2] += 1 + 1 + 1; + + stack.push(str.charAt(i)); NewPalindrome.operations[2] += 1 + 1 + 1 + 1; + queue.enqueue(str.charAt(i)); NewPalindrome.operations[2] += 1 + 1 + 1 + 1; + } + + // looping through each character on the stack & queue and comparing them, returning false if they're different + NewPalindrome.operations[2]++; + for (int i = 0; i < str.length(); i++) { + NewPalindrome.operations[2] += 1 + 1 + 1; + + NewPalindrome.operations[2] += 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1; + if (!stack.pop().equals(queue.front())) { + return false; + } + + // the complexity of ArrayQueue.dequeue() is 3n+2, where n is the number of items in the queue when dequeue() is called. + // we need to determine the number of items in the queue so that we can determine the number of primitive operations performed when queue.dequeue() is called. + // to do this, we'll loop through the queue, dequeuing each object and enqueueing it in another ArrayQueue. once complete, we'll reassign the variable queue to point to the new ArrayQueue containing all the objects + ArrayQueue newQueue = new ArrayQueue(); // not counting the operations for this as it's not part of the algorithm, it's part of the operations counting + int n = 0; // n is the number of items in the ArrayQueue when dequeue() is called + + while (!queue.isEmpty()) { + newQueue.enqueue(queue.dequeue()); + n++; + } + + queue = newQueue; // setting queue to point to the newQueue, which is just the state that queue would have been in if we didn't do this to calculate the primitive operations + newQueue = null; // don't need the newQueue object reference anymore + + NewPalindrome.operations[2] += 3*n + 2; // complexity of dequeue is 3n+2 + queue.dequeue(); + } + + return true; + } +} diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/Test.java b/second/semester2/CT2109/Assignments/Assignment-03/code/Test.java new file mode 100644 index 00000000..393947ca --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/Test.java @@ -0,0 +1,14 @@ +public class Test { + public static void main(String[] args) { + String str = "1234567890"; + ArrayQueue queue = new ArrayQueue(); + + for (int i = 0; i < str.length(); i++) { + queue.enqueue(str.charAt(i)); + } + + for (int i = 0; i < str.length(); i++) { + queue.dequeue(); + } + } +} diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/method0.csv b/second/semester2/CT2109/Assignments/Assignment-03/code/method0.csv new file mode 100644 index 00000000..31b601ea --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/method0.csv @@ -0,0 +1,22 @@ +operations,size +29,0 +5716904,50000 +11989234,100000 +18683879,150000 +25533879,200000 +32383879,250000 +39423164,300000 +46523164,350000 +53623164,400000 +60723164,450000 +67823164,500000 +75051729,550000 +82401729,600000 +89751729,650000 +97101729,700000 +104451729,750000 +111801729,800000 +119151729,850000 +126501729,900000 +133851729,950000 +141201734,1000000 diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/method1.csv b/second/semester2/CT2109/Assignments/Assignment-03/code/method1.csv new file mode 100644 index 00000000..cbeebf48 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/method1.csv @@ -0,0 +1,22 @@ +operations,size +15,0 +1881959,50000 +3768823,100000 +5660295,150000 +7552719,200000 +9445167,250000 +11337607,300000 +13230031,350000 +15122471,400000 +17014895,450000 +18907343,500000 +20800207,550000 +22693407,600000 +24586615,650000 +26479855,700000 +28373063,750000 +30266287,800000 +32159487,850000 +34052711,900000 +35945943,950000 +37839175,1000000 diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/method2.csv b/second/semester2/CT2109/Assignments/Assignment-03/code/method2.csv new file mode 100644 index 00000000..4725c2b1 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/method2.csv @@ -0,0 +1,22 @@ +operations,size +105,0 +17250278,50000 +36003532,100000 +55780375,150000 +75979194,200000 +96178166,250000 +116909827,300000 +137812321,350000 +158715267,400000 +179617761,450000 +200521097,500000 +221777541,550000 +243367974,600000 +264958463,650000 +286548836,700000 +308139668,750000 +329729920,800000 +351320353,850000 +372910963,900000 +394501277,950000 +416092270,1000000 diff --git a/second/semester2/CT2109/Assignments/Assignment-03/code/method3.csv b/second/semester2/CT2109/Assignments/Assignment-03/code/method3.csv new file mode 100644 index 00000000..f8977aab --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/code/method3.csv @@ -0,0 +1,22 @@ +operations,size +29,0 +6590279,50000 +13847075,100000 +21610649,150000 +29560649,200000 +37510649,250000 +45687791,300000 +53937791,350000 +62187791,400000 +70437791,450000 +78687791,500000 +87092069,550000 +95642069,600000 +104192069,650000 +112742069,700000 +121292069,750000 +129842069,800000 +138392069,850000 +146942069,900000 +155492069,950000 +164042075,1000000 diff --git a/second/semester2/CT2109/Assignments/Assignment-03/latex/CT2109-Assignment-03.pdf b/second/semester2/CT2109/Assignments/Assignment-03/latex/CT2109-Assignment-03.pdf new file mode 100644 index 00000000..4df81598 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-03/latex/CT2109-Assignment-03.pdf differ diff --git a/second/semester2/CT2109/Assignments/Assignment-03/latex/CT2109-Assignment-03.run.xml b/second/semester2/CT2109/Assignments/Assignment-03/latex/CT2109-Assignment-03.run.xml new file mode 100644 index 00000000..0301a539 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/latex/CT2109-Assignment-03.run.xml @@ -0,0 +1,85 @@ + + + + + + + + + + + + + + + + + + + + + + + + +]> + + + latex + + CT2109-Assignment-03.bcf + + + CT2109-Assignment-03.bbl + + + blx-dm.def + blx-compat.def + biblatex.def + standard.bbx + numeric.bbx + numeric.cbx + biblatex.cfg + english.lbx + + + + biber + + biber + CT2109-Assignment-03 + + + CT2109-Assignment-03.bcf + + + CT2109-Assignment-03.bbl + + + CT2109-Assignment-03.bbl + + + CT2109-Assignment-03.bcf + + + ecl.bib + + + diff --git a/second/semester2/CT2109/Assignments/Assignment-03/latex/CT2109-Assignment-03.tex b/second/semester2/CT2109/Assignments/Assignment-03/latex/CT2109-Assignment-03.tex new file mode 100644 index 00000000..d48e8c0d --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/latex/CT2109-Assignment-03.tex @@ -0,0 +1,214 @@ +\documentclass[a4paper]{article} + +\usepackage{listings} +\usepackage{xcolor} +\definecolor{codegreen}{rgb}{0,0.6,0} +\definecolor{codegray}{rgb}{0.5,0.5,0.5} +\definecolor{codeorange}{rgb}{1,0.49,0} +\definecolor{backcolour}{rgb}{0.95,0.95,0.96} + +\usepackage{pgfplots} +\pgfplotsset{width=\textwidth,compat=1.9} + +\lstdefinestyle{mystyle}{ + backgroundcolor=\color{backcolour}, + commentstyle=\color{codegray}, + keywordstyle=\color{codeorange}, + numberstyle=\tiny\color{codegray}, + stringstyle=\color{codegreen}, + basicstyle=\ttfamily\footnotesize, + breakatwhitespace=false, + breaklines=true, + captionpos=b, + keepspaces=true, + numbers=left, + numbersep=5pt, + showspaces=false, + showstringspaces=false, + showtabs=false, + tabsize=2, + xleftmargin=10pt, +} + +\lstset{style=mystyle} + +\input{head} +\begin{document} + +%------------------------------- +% TITLE SECTION +%------------------------------- + +\fancyhead[C]{} +\hrule \medskip % Upper rule +\begin{minipage}{0.295\textwidth} + \begin{raggedright} + \footnotesize + Andrew Hayes \hfill\\ + 21321503 \hfill\\ + a.hayes18@nuigalway.ie + \end{raggedright} +\end{minipage} +\begin{minipage}{0.4\textwidth} + \begin{centering} + \large + CT2109 Assignment 3\\ + \normalsize + \end{centering} +\end{minipage} +\begin{minipage}{0.295\textwidth} + \begin{raggedleft} + \footnotesize + \today \hfill\\ + \end{raggedleft} +\end{minipage} + +\medskip\hrule +\medskip +\begin{centering} + Double-Base Palindromes \& Complexity Analysis\\ +\end{centering} +\medskip\hrule +\bigskip + +\section{Problem Statement} +The overall purpose of this assignment is to perform some basic complexity analysis on four distinct algorithms, each of which aim to achieve the same result: determining whether a String is palindromic. +More specifically, each algorithm will be fed the binary \& decimal representations of each integer between $0_{10}$ and $1,000,000_{10}$, in String form. +Each algorithm will then determine whether the String is palindromic, returning either \verb|true| or \verb|false|. +Each method will have three counter variables to record the number of palindromes found: one for the numbers whose decimal form is palindromic, one for the numbers whose binary form is palindromic, and one +for the numbers which are palindromic in both decimal \& binary form. +\\\\ +The number of primitive operations will be recorded using a separate global variable for each method. +Additionally, the real time taken by each method (in milliseconds) will be recorded. +These measurements will form the basis of the complexity analysis performed. +The number of primitive operations will be recorded for each method and plotted against the size of the problem (the number of values being checked for palindromicity, $n$). +This graph should reflect the ``order'' of the problem, i.e. it should match the big-O representation derived from a time-complexity analysis of the algorithm. +For example, an exponential curve on the graph would indicate that the algorithm is of $O(n^2)$ complexity, while a straight line through the origin would indicate that the algorithm is of $O(n)$ complexity. + +\section{Analysis \& Design Notes} +The first thing that we'll want to do in this program is declare the variables that we'll use to record the data for each method being tested. +We will have seven arrays of size four, with one index for each method being tested. +These arrays will be: +\begin{itemize} + \item \verb|long[] operations| - To count the number of primitive operations for each method. + \item \verb|int[] decCount| - To count how many numbers that are palindromic in decimal form are found using each method. + \item \verb|int[] binCount| - To count how many numbers that are palindromic in binary form are found using each method. + \item \verb|int[] bothCount| - To count how many numbers that are palindromic in both decimal \& binary form are found using each method. + \item \verb|long[] startTime| - To record the start time (in Unix epoch form) of the testing of each of the four methods. + \item \verb|long[] totalTime| - To record the total time (in milliseconds) by the testing of each of the four methods. + \item \verb|StringBuilder[] data| - This will be be used to create a String of CSV data for each method, which will be output to a \verb|.csv| file at the end of testing. + Doing this saves us from having to open, write to, \& close a \verb|.csv| file every time we want to record some data, which would be very inefficient. +\end{itemize} + +The first thing that we'll do in the main method is initialise all the indices in the \verb|StringBuilder[] data| array to have the appropriate headings from each column, one column for the number of primitive operations +and one for the size of the problem that used that number of primitive operations, i.e. \verb|"operations,size\n"|. +\\\\ +We'll also want to generate a two-dimensional array of all the Strings that we'll be testing for palindromicity, with one dimension for decimal Strings and one dimension for binary Strings, both going up to +$1,000,000_{10}$. +Generating this once in the beginning will save us from having to re-generate the same Strings four times, which would be very inefficient. +\\\\ +Each method that we will be testing will have its own class that implements the interface \verb|PalindromeChecker|. +This interface will contain a single method with the signature \verb|public boolean checkPalindrome(String str)|. +The reason for doing this will be to follow OOP principles \& the DRY principle so that we don't have unnecessary repetition of code. +This will allow us to have one generic loop through each of the numbers from $0_{10}$ to $1,000,000_{10}$ instead of four separate ones. +Each of the methods that we will be testing will be overridden implementations of \verb|checkPalindrome|. +We will have four classes that implement \verb|PalindromeChecker|: +\begin{itemize} + \item \verb|ReverseVSOriginal| - This class will contain ``Method One'' outlined in the assignment specification, which checks if a String is palindromic by comparing the String to a reversed copy of itself, hence the name. + \item \verb|IVersusIMinusN| - This will contain ``Method Two'' outlined in the assignment specification, which checks if a String is palindromic by looping through each character in the String using an iterator + \verb|i| and comparing the character at index \verb|i| to the character at index \verb|n-i|, where \verb|n| is the last index in the String, i.e., comparing the first character to the last, the second character to the second-last, etc. + \item \verb|StackVSQueue| - This will contain ``Method Three'' outlined in the assignment specification, which checks if a String is palindromic using essentially the same technique as ``Method Two'' + but instead of simply iterating through the String, each character of the String will be put onto both a Stack \& a Queue, and then items will be removed from the Stack \& Queue and compared to each other. + The LIFO nature of the Stack and the FIFO nature of the Queue result in this comparison being first character versus last, second character versus second-last, and so on. + \item \verb|RecursiveReverse| - This will contain ``Method Four'' outlined in the assignment specification, which checks if a String is palindromic using essentially the same technique as ``Method One'' + but using recursion to reverse the String instead of iteration. +\end{itemize} + +An array called \verb|PalindromeCheckers[]| will be initialised to contain an instance of each of these four classes. +This array will be iterated over (using iterator \verb|j|) to test each method, which prevents code repetition. +In said loop, firstly, the \verb|startTime[j]| will be recorded using \verb|System.getCurrentTimeMillis();|. +Then, a loop will be entered that iterators over each number between $0_{10}$ to $1,000,000_{10}$. +Both the decimal \& binary Strings at index \verb|i| of the \verb|strings[]| array will be passed to \verb|palindromeCheckers[j].checkPalindrome()| to be checked for palindromicity. +Then, \verb|decCount[j]|, \verb|binCount[j]|, \& \verb|bothCount[j]| will be iterated or will remain unchanged, as appropriate. +\\\\ +The count of primitive operations for each method will be iterated as they are executed. +I won't count the \verb|return| statements at the end of methods or accessing a variable or array index as primitive operations, as these (especially the \verb|return| statements) are computationally +insignificant, and certainly aren't on the same level as something like creating a new variable in memory. +Unfortunately, it's not really possible to say with accuracy what is \& isn't a ``primitive operation'' in a language so high-level \& abstract as Java, but I feel that this is a reasonable approximation. +We want to record the count of primitive operations at regular intervals of 50,000 during the process, so we will append the operations count and the current \verb|i| to \verb|data[j]| if \verb|i| is +divisible by 50,000. +\\\\ +Once the loop using iterator \verb|i| has ended, the total time taken will be recorded by subtracting the current time from the start time. +The number of palindromes found in decimal, binary, and both decimal \& binary will be printed out to the screen, along with the total time taken \& the total number of primitive operations for that method. +Finally, the data for that method will be written to a \verb|.csv| file. +This will be repeated for all four methods in the \verb|palindromeCheckers| array. + +\section{Code} +\lstinputlisting[language=Java, breaklines=true, title={NewPalindrome.java}]{../code/NewPalindrome.java} +\lstinputlisting[language=Java, breaklines=true, title={PalindromeChecker.java}]{../code/PalindromeChecker.java} +\lstinputlisting[language=Java, breaklines=true, title={ReverseVSOriginal.java}]{../code/ReverseVSOriginal.java} +\lstinputlisting[language=Java, breaklines=true, title={IVersusIMinusN.java}]{../code/IVersusNMinusI.java} +\lstinputlisting[language=Java, breaklines=true, title={StackVSQueue.java}]{../code/StackVSQueue.java} +\lstinputlisting[language=Java, breaklines=true, title={RecursiveReverse.java}]{../code/RecursiveReverse.java} + +\newpage +\section{Testing} +\begin{center} + \begin{tikzpicture} + \begin{axis}[ + title={Number of Primitive Operations per Method}, + xlabel={Size of Problem}, + ylabel={Number of Operations} + ] + \addplot table [x=size, y=operations, col sep=comma] {../code/method0.csv}; + \addplot table [x=size, y=operations, col sep=comma] {../code/method1.csv}; + \addplot table [x=size, y=operations, col sep=comma] {../code/method2.csv}; + \addplot table [x=size, y=operations, col sep=comma] {../code/method3.csv}; + \legend{Iterative Reverse vs Original,$i$ vs $n-i$,Stack vs Queue,Recursive Reverse vs Original} + \end{axis} + \end{tikzpicture} +\end{center} + +\begin{figure}[h] + \centering + \includegraphics[width=0.7\textwidth]{images/output.png} + \caption{Output of the Main Method} +\end{figure} + +The output from the program shows that all the methods agreed on the number of palindromes found in each category, which shows us +that they did indeed work as intended. +\\\\ +We can see from the graph that $i$ versus $n-i$ or \verb|IVersusNMinusI| method was the most efficient, as it used the fewest +primitive operations out of the four methods (37,839,177) and the complexity grew relatively slowly as the size of the problem increased, +demonstrated by the fact that its curve has quite a gentle slope. +This is reflected in the testing times as it was by far the fastest method (referred to in the screenshot as ``Method 1'', as +indexing was done from 0), taking only 39 milliseconds to complete. +This makes sense, as the method consisted of just one loop and some basic operations, without using any fancy data structures. +Furthermore, this method quickly detects non-palindromic Strings, and returns \verb|false|, saving computation. +\\\\ +The next most efficient method was the iterative reverse versus original or \verb|ReverseVSOriginal| method. +Despite being the next most efficient method, it took almost ten times the time that \verb|IVersusNMinusI| took to complete, taking 366 +milliseconds, which, all things considered, is still quite fast. +The number of primitive operations and the rate of growth of this method were also accordingly higher than the previous method. +\\\\ +The third most efficient method was the recursive reverse versus original or \verb|RecursiveReverse| method. +This makes sense, as it uses a very similar approach to the second most efficient method, but instead did it recursively. +Despite this solution appearing somewhat more elegant from a lines of code perspective, it was in practice less efficient than +its iterative counterpart, both in terms of memory (as the recursive function calls had to remain in memory until all the sub-calls +were complete) and in terms of operations, taking approximately 20 million more primitive operations to complete the same task +as the iterative approach. +It was also significantly slower than its iterative counterpart, taking around 200 milliseconds more to complete the task. +We can also tell from looking at the graph that at low problem sizes that this approach is comparable \& rather similar in terms +of efficiency to the iterative approach, but they quickly diverge, with the recursive approach having a significantly steeper +slope. +We can extrapolate from this that this method would be even less efficient at very large problem sizes, as its rate of growth +is quite large. +\\\\ +By far the least efficient method was the Stack versus Queue or \verb|StackVSQueue| method. +It took by far the greatest number of primitive operations, and the rate of growth was ridiculously large, rapidly diverging from +the other four techniques. +Its rate of growth is so large that it would likely quickly become unusable for any significantly large problem. +This is reinforced by the fact that it took 3,519 milliseconds to complete the task, being the only method that took more than one +second to do so, and taking almost 100 times what the best-performing method took. + +\end{document} diff --git a/second/semester2/CT2109/Assignments/Assignment-03/latex/head.tex b/second/semester2/CT2109/Assignments/Assignment-03/latex/head.tex new file mode 100644 index 00000000..6c0a207a --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/latex/head.tex @@ -0,0 +1,49 @@ +\addtolength{\hoffset}{-2.25cm} +\addtolength{\textwidth}{4.5cm} +\addtolength{\voffset}{-3.25cm} +\addtolength{\textheight}{5cm} +\setlength{\parskip}{0pt} +\setlength{\parindent}{0in} + +%---------------------------------------------------------------------------------------- +% PACKAGES AND OTHER DOCUMENT CONFIGURATIONS +%---------------------------------------------------------------------------------------- + +\usepackage{blindtext} % Package to generate dummy text +\usepackage{charter} % Use the Charter font +\usepackage[utf8]{inputenc} % Use UTF-8 encoding +\usepackage{microtype} % Slightly tweak font spacing for aesthetics +\usepackage[english]{babel} % Language hyphenation and typographical rules +\usepackage{amsthm, amsmath, amssymb} % Mathematical typesetting +\usepackage{float} % Improved interface for floating objects +\usepackage[final, colorlinks = true, + linkcolor = black, + citecolor = black]{hyperref} % For hyperlinks in the PDF +\usepackage{graphicx, multicol} % Enhanced support for graphics +\usepackage{xcolor} % Driver-independent color extensions +\usepackage{marvosym, wasysym} % More symbols +\usepackage{rotating} % Rotation tools +\usepackage{censor} % Facilities for controlling restricted text +\usepackage{listings, style/lstlisting} % Environment for non-formatted code, !uses style file! +\usepackage{pseudocode} % Environment for specifying algorithms in a natural way +\usepackage{style/avm} % Environment for f-structures, !uses style file! +\usepackage{booktabs} % Enhances quality of tables +\usepackage{tikz-qtree} % Easy tree drawing tool +\tikzset{every tree node/.style={align=center,anchor=north}, + level distance=2cm} % Configuration for q-trees +\usepackage{style/btree} % Configuration for b-trees and b+-trees, !uses style file! +\usepackage[backend=biber,style=numeric, + sorting=nyt]{biblatex} % Complete reimplementation of bibliographic facilities +\addbibresource{ecl.bib} +\usepackage{csquotes} % Context sensitive quotation facilities +\usepackage[yyyymmdd]{datetime} % Uses YEAR-MONTH-DAY format for dates +\renewcommand{\dateseparator}{-} % Sets dateseparator to '-' +\usepackage{fancyhdr} % Headers and footers +\pagestyle{fancy} % All pages have headers and footers +\fancyhead{}\renewcommand{\headrulewidth}{0pt} % Blank out the default header +\fancyfoot[L]{} % Custom footer text +\fancyfoot[C]{} % Custom footer text +\fancyfoot[R]{\thepage} % Custom footer text +\newcommand{\note}[1]{\marginpar{\scriptsize \textcolor{red}{#1}}} % Enables comments in red on margin + +%---------------------------------------------------------------------------------------- diff --git a/second/semester2/CT2109/Assignments/Assignment-03/latex/images/doubledigit.png b/second/semester2/CT2109/Assignments/Assignment-03/latex/images/doubledigit.png new file mode 100644 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mode 100644 index 00000000..a872483c --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/latex/style/avm.sty @@ -0,0 +1,165 @@ +% avm.sty -- for attribute-value matrices -- mar 29, 1992; rev. dec 6, 1993 +% (c) 1992 christopher manning (manning@csli.stanford.edu) -- see avm.doc.tex + +\newif\ifavmactive\newif\ifavmsorted\newif\ifavmlabeled +\newif\ifavmcenter\newif\ifavmbottom +\newif\ifavmbottomright\newif\ifavmtopleft\newif\ifavmtopright + +\newdimen\avmdimen +\newbox\avmboxone\newbox\avmboxthree + +\def\avmoptions#1{\avmactivefalse\avmsortedfalse\avmlabeledfalse + \avmcenterfalse\avmbottomfalse + \avmbottomrightfalse\avmtopleftfalse\avmtoprightfalse + \def\more{#1}\ifx\more\empty\else\avmjoptions#1,\@nil\fi} +\def\avmjoptions#1,#2\@nil{\def\more{#2}\csname avm#1true\endcsname + \ifx\more\empty\else\avmjoptions#2\@nil\fi} + + +\def\avmfont#1{\def\avmjfont{#1}} +\def\avmjfont{} + +\def\avmvalfont#1{\def\avmjvalfont{#1}} +\def\avmjvalfont{} + +\def\avmsortfont#1{\def\avmjsortfont{#1}} +\def\avmjsortfont{} + +\def\avmhskip#1{\def\avmjhskip{#1}} +\def\avmjhskip{1em} + +\def\avmbskip#1{\def\avmjbskip{#1}} +\def\avmjbskip{0em} + +\def\avmvskip#1{\def\avmjvskip{#1}} +\def\avmjvskip{0.385ex}%was .3875 + + +\def\avmjprolog#1{$\mskip-\thinmuskip + \left#1\hskip\avmjbskip\vcenter\bgroup\vskip\avmjvskip + \ialign\bgroup\avmjfont + \strut ##\unskip\hfil + &&\hskip\avmjhskip\avmjvalfont ##\unskip\hfil\cr} +\def\avmjpostlog#1{\crcr\egroup\vskip\avmjvskip\egroup + \hskip\avmjbskip\right#1\mskip-\thinmuskip$\ignorespaces} + + +\def\avmjcatcode{\let\lparen=(\let\rparen=)\catcode`\[=13\catcode`\]=13 + \catcode`\<=13\catcode`\@=13\catcode`\(=13\catcode`\)=13 + \catcode`\>=13\catcode`\|=13} + +{\avmjcatcode % new group: redefine above catcodes as active + +\gdef\specialavm{\avmjcatcode +\def({\avmjprolog\lparen}% +\def){\avmjpostlog\rparen}% +\def<{\avmjprolog\langle}% +\def>{\avmjpostlog\rangle}% +\ifavmsorted +\def[##1{\setbox\avmboxthree=\hbox{\avmjsortfont##1\/}\setbox2=\hbox + \bgroup\avmjprolog\lbrack}% +\def]{\avmjpostlog\rbrack\egroup\avmjsort}% +\else\ifavmlabeled +\def[##1{\def\more{##1}\setbox2=\hbox\bgroup\avmjprolog[}% +\def]{\avmjpostlog]\egroup\node{\more}{\box2}}% +\else +\def[{\avmjprolog\lbrack}% +\def]{\avmjpostlog\rbrack}% +\fi\fi +% +\def\<{$\langle$}\def\>{$\rangle$}% +\def\({\lparen}\def\){\rparen}% +\def\[{\lbrack}\def\]{\rbrack}% +\def|{$\,\vert\,$}% +\def@##1{\avmbox{##1}}% +} % end defn of \specialavm +} % restore active catcodes + + +\long\def\avm{\begingroup +\ifavmactive\specialavm +\else +\def\({\avmjprolog(}% +\def\){\avmjpostlog)}% +\def\<{\avmjprolog\langle}% +\def\>{\avmjpostlog\rangle}% +% +\ifavmsorted +\def\[##1{\setbox\avmboxthree=\hbox{\avmjsortfont##1\/}\setbox + 2=\hbox\bgroup\avmjprolog[}% +\def\]{\avmjpostlog]\egroup\avmjsort}% +\else\ifavmlabeled +\def\[##1{\def\more{##1}\setbox2=\hbox\bgroup\avmjprolog[}% +\def\]{\avmjpostlog]\egroup\node{\more}{\box2}}% +\else +\def\[{\avmjprolog[}% +\def\]{\avmjpostlog]}% +\fi\fi +% +\def\|{$\,\vert\,$}% +\def\@##1{\avmbox{##1}}% +\fi % end not active +% +\ifx\LaTeX\undefined\def\\{\cr}% running under TeX +\else \def\\{\@tabularcr}% Leverage off LaTeX's \\*[dimen] options +\fi +\def\!{\node}% +\long\def\avmjsort{\dimen2=\ht2\advance\dimen2 by -.25\baselineskip + \global\dimen\avmdimen=\wd\avmboxthree + \ifavmtopleft \raise\dimen2\llap{\box\avmboxthree}\box2% + \else\ifavmtopright \box2\raise\dimen2\box\avmboxthree% + \else\ifavmbottomright \box2\lower\dimen2\box\avmboxthree% + \else \lower\dimen2\llap{\box\avmboxthree}\box2% + \fi\fi\fi}% +\long\def\sort##1##2{\setbox2=\hbox{##2}\setbox + \avmboxthree=\hbox{\avmjsortfont##1\/}\dimen2=\ht2 + \advance\dimen2 by -.25\baselineskip + \ifavmtopleft \raise\dimen2\box\avmboxthree\box2% + \else\ifavmtopright \box2\raise\dimen2\box\avmboxthree% + \else\ifavmbottomright \box2\lower\dimen2\box\avmboxthree% + \else \lower\dimen2\box\avmboxthree\box2% + \fi\fi\fi}% +\long\def\osort##1##2{\setbox2=\hbox{##2}\setbox + \avmboxthree=\hbox{\avmjsortfont ##1\/}\avmjsort}% +\def\avml{\avmjprolog.}% +\def\avmr{\avmjpostlog.}% +\def\avmb##1{\node{##1}{\lbrack\;\rbrack}}% +\def\avmd##1{\node{##1}{---}}% +\def\q##1{\ifx ##1\{$\lbrace$\else + \ifx ##1\}$\rbrace$\else + \ifx ##1<$\langle$\else + \ifx ##1>$\rangle$\fi \fi \fi \fi}% +\def\{{\avmjprolog\lbrace}% +\def\}{\avmjpostlog\rbrace}% +\def\;{\hskip\avmjhskip}% +\def\avmspan##1{\multispan2\strut ##1\expandafter\hfil}% +\avmjfont +\openup\avmjvskip +\setbox\avmboxone=\hbox\bgroup\ignorespaces +} % end defn of \avm + + +\def\endavm{\egroup\ifvmode\leavevmode\fi % this if is useful! + \ifavmsorted\null\hskip\dimen\avmdimen\fi + \ifavmcenter + \box\avmboxone + \else \ifavmbottom + \lower.575\baselineskip\hbox{\vbox{\box\avmboxone\null}}% + \else +% the next bit is ripped off from Emma's \evnup in lingmacros.sty + \dimen2=\ht\avmboxone\advance\dimen2 by -.725\baselineskip + \lower\dimen2\box\avmboxone +\fi \fi \endgroup} + + +% based on TeXbook exercise 21.3 +\def\avmbox#1{\setbox2=\hbox{$\scriptstyle #1$}\lower.2ex\vbox{\hrule + \hbox{\vrule\kern1.25pt + \vbox{\kern1.25pt\box2\kern1.25pt}\kern1.25pt\vrule}\hrule}} + +% ============ COSTOM CONFIGURATION ============= +\avmfont{\sc} +\avmoptions{sorted,active} +\avmvalfont{\rm} +\avmsortfont{\scriptsize\it} +% =============================================== \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-03/latex/style/btree.sty b/second/semester2/CT2109/Assignments/Assignment-03/latex/style/btree.sty new file mode 100644 index 00000000..edec4533 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/latex/style/btree.sty @@ -0,0 +1,131 @@ +%% Last Modified: Thu Oct 18 18:26:25 2007. + +\NeedsTeXFormat{LaTeX2e} +\ProvidesPackage{style/btree} +\typeout{Document Style `weiw_BTree - Support drawing B+-Tree (ver 0.999)} + +\RequirePackage{tikz} +\RequirePackage{ifthen} + +% use libraries +\usetikzlibrary{arrows,shapes,decorations,matrix} + + +%% global declaration +\tikzstyle{btreeptr} = [draw, semithick, minimum height=2em] +\tikzstyle{btreeval} = [draw, semithick, minimum size=2em] +\tikzstyle{btreevale} = [draw,semithick, minimum size=2em] +\tikzstyle{btlink} = [draw, semithick, ->, >=triangle 45] + +%% macro +%% helper macros +\newcommand{\suppressemptystr}[1]{% leave blank for entries in leaf nodes + \ifthenelse{\equal{#1}{}}% + {% + \relax% + }% + % Else + {% + #1\textsuperscript{*}% + }% +}% + +\newcommand{\xyshift}[3]{% help to place the nodes + \begin{scope}[xshift=#1, yshift=#2] + #3 + \end{scope}% +} + +%% Common btree macros +\newcommand{\btreelink}[2]{% #1: src node; #2: dest node; + \draw[btlink] ([yshift=3pt] #1.south) -- (#2-b.north); +} + +\newcommand{\btreelinknorth}[2]{% #1: src node; #2: dest node; + \draw[btlink] ([yshift=3pt] #1.south) -- (#2.north); +} + +\newcommand{\btreetriangle}[2]{% #1: node name; #2 text inside + \node[anchor=north, regular polygon, regular polygon sides=3, draw] (#1) {#2}; +} + +%%====================================================================== +%% btree with capacity = 4 +\newcommand{\btreeinodefour}[5]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \& \node[btreeval] (#1-c) {#4}; \& + \node[btreeptr] (#1-4) {\vphantom{1}}; \& \node[btreeval] (#1-d) {#5}; \& + \node[btreeptr] (#1-5) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodefour}[5]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \& + \node[btreevale] (#1-c) {\suppressemptystr{#4}}; \& + \node[btreevale] (#1-d) {\suppressemptystr{#5}}; \\ + }; +} + +%%====================================================================== +%% btree with capacity = 3 +\newcommand{\btreeinodethree}[4]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \& \node[btreeval] (#1-c) {#4}; \& + \node[btreeptr] (#1-4) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodethree}[4]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \& + \node[btreevale] (#1-c) {\suppressemptystr{#4}}; \\ + }; +} + +%%====================================================================== +%% btree with capacity = 2 +\newcommand{\btreeinodetwo}[4]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodetwo}[3]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \\ + }; +} +%%====================================================================== + + + + +%% simple example +% \begin{center} +% \scalebox{0.7}{ +% \begin{tikzpicture} +% % +% \btreeinodefour{root}{13}{17}{24}{30}; +% \xyshift{-40mm}{-20mm}{\btreelnodefour{n1}{2}{3}{5}{7}} +% \xyshift{-0mm}{-20mm}{\btreelnodefour{n2}{14}{16}{}{}} +% \xyshift{40mm}{-20mm}{\btreelnodefour{n3}{19}{20}{22}{}} +% \xyshift{80mm}{-20mm}{\btreelnodefour{n4}{24}{27}{29}{}} +% \xyshift{120mm}{-20mm}{\btreelnodefour{n5}{33}{34}{38}{39}} +% % +% \foreach \x in {1,2,...,5} { \btreelink{root-\x}{n\x} } +% \end{tikzpicture} +% } +% \end{center} \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-03/latex/style/lstlisting.sty b/second/semester2/CT2109/Assignments/Assignment-03/latex/style/lstlisting.sty new file mode 100644 index 00000000..3d6ba743 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-03/latex/style/lstlisting.sty @@ -0,0 +1,38 @@ +% Source: ss17_wissschreib (Eva) + +\lstset{ + basicstyle=\ttfamily\scriptsize\mdseries, + keywordstyle=\bfseries\color[rgb]{0.171875, 0.242188, 0.3125}, + identifierstyle=, + commentstyle=\color[rgb]{0.257813, 0.15625, 0}, + stringstyle=\itshape\color[rgb]{0.0195313, 0.195313, 0.0117188}, + numbers=left, + numberstyle=\tiny, + stepnumber=1, + breaklines=true, + frame=none, + showstringspaces=false, + tabsize=4, + backgroundcolor=\color[rgb]{0.98,0.98,0.98}, + captionpos=b, + float=htbp, + language=Python, + xleftmargin=15pt, + xrightmargin=15pt +} + +%(deutsche) Sonderzeichen +\lstset{literate=% + {Ä}{{\"A}}1 + {Ö}{{\"O}}1 + {Ü}{{\"U}}1 + {ä}{{\"a}}1 + {ö}{{\"o}}1 + {ü}{{\"u}}1 + {ß}{{\ss}}1 +} + +%Verwendung im Text: +%-> \begin{lstlisting}[language=Python,firstnumber=27] ... \end{lstlisting} +%-> \begin{lstlisting}[language=Python,numbers=none] ... \end{lstlisting} +%-> \lstinline[language=JAVA]{...} \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-04/Asignment 4 Marking Scheme.pdf b/second/semester2/CT2109/Assignments/Assignment-04/Asignment 4 Marking Scheme.pdf new file mode 100644 index 00000000..bbc32c76 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-04/Asignment 4 Marking Scheme.pdf differ diff --git a/second/semester2/CT2109/Assignments/Assignment-04/Assignment 4 - 2023.pdf b/second/semester2/CT2109/Assignments/Assignment-04/Assignment 4 - 2023.pdf new file mode 100644 index 00000000..f62fde50 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-04/Assignment 4 - 2023.pdf differ 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\field{labeltitlesource}{title} + \field{addendum}{Uploaded to Blackboard: 2023-02-17} + \field{title}{Topic Three: Algorithm Analysis \& Dynamic Programming Part II} + \keyw{p,np} + \endentry + \entry{wolfram}{online}{} + \name{author}{1}{}{% + {{hash=d041a125476c57c12ca53005c1fe93b1}{% + family={Terr}, + familyi={T\bibinitperiod}, + given={David}, + giveni={D\bibinitperiod}}}% + } + \strng{namehash}{d041a125476c57c12ca53005c1fe93b1} + \strng{fullhash}{d041a125476c57c12ca53005c1fe93b1} + \strng{bibnamehash}{d041a125476c57c12ca53005c1fe93b1} + \strng{authorbibnamehash}{d041a125476c57c12ca53005c1fe93b1} + \strng{authornamehash}{d041a125476c57c12ca53005c1fe93b1} + \strng{authorfullhash}{d041a125476c57c12ca53005c1fe93b1} + \field{sortinit}{2} + \field{sortinithash}{8b555b3791beccb63322c22f3320aa9a} + \field{labelnamesource}{author} + \field{labeltitlesource}{title} + \field{addendum}{(Accessed: 2023-03-03)} + \field{title}{Polynomial Time} + \verb{urlraw} + \verb 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Freeman}% + } + \strng{namehash}{d7582c31fe3061838883debf5d237536} + \strng{fullhash}{d7582c31fe3061838883debf5d237536} + \strng{bibnamehash}{d7582c31fe3061838883debf5d237536} + \strng{authorbibnamehash}{d7582c31fe3061838883debf5d237536} + \strng{authornamehash}{d7582c31fe3061838883debf5d237536} + \strng{authorfullhash}{d7582c31fe3061838883debf5d237536} + \field{sortinit}{1} + \field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a} + \field{labelnamesource}{author} + \field{labeltitlesource}{title} + \field{isbn}{0-7167-1045-5} + \field{title}{Computers \& Intractability: A Guide to the Theory of NP-Completeness} + \field{year}{1979} + \field{dateera}{ce} + \endentry + \entry{halting}{online}{} + \name{author}{1}{}{% + {{hash=38ba3b8c5a650c291517635c39277196}{% + family={al.}, + familyi={a\bibinitperiod}, + given={Karleigh\bibnamedelima Moore}, + giveni={K\bibinitperiod\bibinitdelim M\bibinitperiod}, + prefix={et}, + prefixi={e\bibinitperiod}}}% + } + \list{publisher}{1}{% + {Brilliant}% + } + \strng{namehash}{38ba3b8c5a650c291517635c39277196} + \strng{fullhash}{38ba3b8c5a650c291517635c39277196} + \strng{bibnamehash}{38ba3b8c5a650c291517635c39277196} + \strng{authorbibnamehash}{38ba3b8c5a650c291517635c39277196} + \strng{authornamehash}{38ba3b8c5a650c291517635c39277196} + \strng{authorfullhash}{38ba3b8c5a650c291517635c39277196} + \field{sortinit}{1} + \field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a} + \field{labelnamesource}{author} + \field{labeltitlesource}{title} + \field{addendum}{(Accessed: 2023-03-03)} + \field{title}{Halting Problem} + \verb{urlraw} + \verb https://brilliant.org/wiki/halting-problem/ + \endverb + \verb{url} + \verb https://brilliant.org/wiki/halting-problem/ + \endverb + \endentry + \entry{npcompbrit}{online}{} + \name{author}{1}{}{% + {{hash=db058bcb62506fba9fe25e53a62e1e0f}{% + family={Gregersen}, + familyi={G\bibinitperiod}, + given={Erik}, + giveni={E\bibinitperiod}}}% + } + \list{publisher}{1}{% + {Encyclopedia Britannica}% + } + \strng{namehash}{db058bcb62506fba9fe25e53a62e1e0f} + \strng{fullhash}{db058bcb62506fba9fe25e53a62e1e0f} + \strng{bibnamehash}{db058bcb62506fba9fe25e53a62e1e0f} + \strng{authorbibnamehash}{db058bcb62506fba9fe25e53a62e1e0f} + \strng{authornamehash}{db058bcb62506fba9fe25e53a62e1e0f} + \strng{authorfullhash}{db058bcb62506fba9fe25e53a62e1e0f} + \field{sortinit}{1} + \field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a} + \field{labelnamesource}{author} + \field{labeltitlesource}{title} + \field{addendum}{(Accessed: 2023-03-12)} + \field{day}{10} + \field{month}{3} + \field{title}{NP-Complete Problem} + \field{year}{2023} + \field{dateera}{ce} + \verb{urlraw} + \verb https://www.britannica.com/science/traveling-salesman-problem + \endverb + \verb{url} + \verb https://www.britannica.com/science/traveling-salesman-problem + \endverb + \endentry + \entry{cook}{online}{} + \name{author}{1}{}{% + {{hash=6d0042ba6060405425561c0184e8ece1}{% + family={Cook}, + familyi={C\bibinitperiod}, + given={Stephen}, + giveni={S\bibinitperiod}}}% + } + \list{publisher}{1}{% + {Proceedings of the Third Annual ACM Symposium on Theory of Computing}% + } + \strng{namehash}{6d0042ba6060405425561c0184e8ece1} + \strng{fullhash}{6d0042ba6060405425561c0184e8ece1} + \strng{bibnamehash}{6d0042ba6060405425561c0184e8ece1} + \strng{authorbibnamehash}{6d0042ba6060405425561c0184e8ece1} + \strng{authornamehash}{6d0042ba6060405425561c0184e8ece1} + \strng{authorfullhash}{6d0042ba6060405425561c0184e8ece1} + \field{sortinit}{1} + \field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a} + \field{labelnamesource}{author} + \field{labeltitlesource}{title} + \field{title}{The complexity of theorem-proving procedures} + \field{year}{1971} + \field{dateera}{ce} + \verb{doi} + \verb 10.1145/800157.805047 + \endverb + \endentry + \entry{pvsnpbrit}{online}{} + \name{author}{1}{}{% + {{hash=b5b5d41e9deb4fed9ffa108254d8b7ad}{% + family={Hosch}, + familyi={H\bibinitperiod}, + given={William\bibnamedelima L.}, + giveni={W\bibinitperiod\bibinitdelim L\bibinitperiod}}}% + } + \list{publisher}{1}{% + {Encyclopedia Britannica}% + } + \strng{namehash}{b5b5d41e9deb4fed9ffa108254d8b7ad} + \strng{fullhash}{b5b5d41e9deb4fed9ffa108254d8b7ad} + \strng{bibnamehash}{b5b5d41e9deb4fed9ffa108254d8b7ad} + \strng{authorbibnamehash}{b5b5d41e9deb4fed9ffa108254d8b7ad} + \strng{authornamehash}{b5b5d41e9deb4fed9ffa108254d8b7ad} + \strng{authorfullhash}{b5b5d41e9deb4fed9ffa108254d8b7ad} + \field{extraname}{3} + \field{sortinit}{1} + \field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a} + \field{labelnamesource}{author} + \field{labeltitlesource}{title} + \field{addendum}{(Accessed: 2023-03-03)} + \field{day}{22} + \field{month}{2} + \field{title}{P versus NP problem} + \field{year}{2023} + \field{dateera}{ce} + \verb{urlraw} + \verb https://www.britannica.com/science/P-versus-NP-problem + \endverb + \verb{url} + \verb https://www.britannica.com/science/P-versus-NP-problem + \endverb + \endentry + \entry{poll}{online}{} + \name{author}{1}{}{% + {{hash=888d7977ce776bc206a593c5821bea9f}{% + family={Gasarch}, + familyi={G\bibinitperiod}, + given={William\bibnamedelima I.}, + giveni={W\bibinitperiod\bibinitdelim I\bibinitperiod}}}% + } + \list{publisher}{1}{% + {SIGACT News}% + } + \strng{namehash}{888d7977ce776bc206a593c5821bea9f} + \strng{fullhash}{888d7977ce776bc206a593c5821bea9f} + \strng{bibnamehash}{888d7977ce776bc206a593c5821bea9f} + \strng{authorbibnamehash}{888d7977ce776bc206a593c5821bea9f} + \strng{authornamehash}{888d7977ce776bc206a593c5821bea9f} + \strng{authorfullhash}{888d7977ce776bc206a593c5821bea9f} + \field{sortinit}{2} + \field{sortinithash}{8b555b3791beccb63322c22f3320aa9a} + \field{labelnamesource}{author} + \field{labeltitlesource}{title} + \field{month}{6} + \field{title}{The P=?NP poll} + \field{year}{2002} + \field{dateera}{ce} + \verb{doi} + \verb 10.1145/564585.564599 + \endverb + \endentry + \entry{sipser}{online}{} + \name{author}{1}{}{% + {{hash=13b9c16a9de2bb891eb8aa2a768eb2a8}{% + family={Sipser}, + familyi={S\bibinitperiod}, + given={Michael}, + giveni={M\bibinitperiod}}}% + } + \list{publisher}{1}{% + {Proceedings of the twenty-fourth annual ACM Symposium on Theory of Computing}% + } + \strng{namehash}{13b9c16a9de2bb891eb8aa2a768eb2a8} + \strng{fullhash}{13b9c16a9de2bb891eb8aa2a768eb2a8} + \strng{bibnamehash}{13b9c16a9de2bb891eb8aa2a768eb2a8} + \strng{authorbibnamehash}{13b9c16a9de2bb891eb8aa2a768eb2a8} + \strng{authornamehash}{13b9c16a9de2bb891eb8aa2a768eb2a8} + \strng{authorfullhash}{13b9c16a9de2bb891eb8aa2a768eb2a8} + \field{sortinit}{2} + \field{sortinithash}{8b555b3791beccb63322c22f3320aa9a} + \field{labelnamesource}{author} + \field{labeltitlesource}{title} + \field{month}{7} + \field{title}{The history \& status of the P versus NP question} + \field{year}{1992} + \field{dateera}{ce} + \verb{doi} + \verb 10.1145/129712.129771 + \endverb + \endentry + \enddatalist +\endrefsection +\endinput + diff --git a/second/semester2/CT2109/Assignments/Assignment-04/latex/CT2109-Assignment-04.run.xml b/second/semester2/CT2109/Assignments/Assignment-04/latex/CT2109-Assignment-04.run.xml new file mode 100644 index 00000000..34dccfce --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-04/latex/CT2109-Assignment-04.run.xml @@ -0,0 +1,86 @@ + + + + + + + + + + + + + + + + + + + + + + + + +]> + + + latex + + CT2109-Assignment-04.bcf + + + CT2109-Assignment-04.bbl + + + blx-dm.def + blx-compat.def + biblatex.def + standard.bbx + numeric.bbx + numeric-comp.bbx + numeric-comp.cbx + biblatex.cfg + english.lbx + + + + biber + + biber + CT2109-Assignment-04 + + + CT2109-Assignment-04.bcf + + + CT2109-Assignment-04.bbl + + + CT2109-Assignment-04.bbl + + + CT2109-Assignment-04.bcf + + + references.bib + + + diff --git a/second/semester2/CT2109/Assignments/Assignment-04/latex/CT2109-Assignment-04.tex.bbl b/second/semester2/CT2109/Assignments/Assignment-04/latex/CT2109-Assignment-04.tex.bbl new file mode 100644 index 00000000..e69de29b diff --git a/second/semester2/CT2109/Assignments/Assignment-04/latex/CT2109-Assignment-04.tex.blg b/second/semester2/CT2109/Assignments/Assignment-04/latex/CT2109-Assignment-04.tex.blg new file mode 100644 index 00000000..28803c65 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-04/latex/CT2109-Assignment-04.tex.blg @@ -0,0 +1,5 @@ +[0] Config.pm:306> INFO - This is Biber 2.18 +[0] Config.pm:309> INFO - Logfile is 'CT2109-Assignment-04.tex.blg' +[47] biber:340> INFO - === Tue Mar 14, 2023, 17:38:31 +[138] Utils.pm:410> ERROR - Cannot find 'CT2109-Assignment-04.tex.bcf'! +[138] Biber.pm:135> INFO - ERRORS: 1 diff --git a/second/semester2/CT2109/Assignments/Assignment-04/latex/head.tex b/second/semester2/CT2109/Assignments/Assignment-04/latex/head.tex new file mode 100644 index 00000000..56b01d7d --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-04/latex/head.tex @@ -0,0 +1,46 @@ +\addtolength{\hoffset}{-2.25cm} +\addtolength{\textwidth}{4.5cm} +\addtolength{\voffset}{-3.25cm} +\addtolength{\textheight}{5cm} +\setlength{\parskip}{0pt} +\setlength{\parindent}{0in} + +%---------------------------------------------------------------------------------------- +% PACKAGES AND OTHER DOCUMENT CONFIGURATIONS +%---------------------------------------------------------------------------------------- + +\usepackage{blindtext} % Package to generate dummy text +\usepackage{charter} % Use the Charter font +\usepackage[utf8]{inputenc} % Use UTF-8 encoding +\usepackage{microtype} % Slightly tweak font spacing for aesthetics +\usepackage[english]{babel} % Language hyphenation and typographical rules +\usepackage{amsthm, amsmath, amssymb} % Mathematical typesetting +\usepackage{float} % Improved interface for floating objects +\usepackage[final, colorlinks = true, + linkcolor = black, + citecolor = black]{hyperref} % For hyperlinks in the PDF +\usepackage{graphicx, multicol} % Enhanced support for graphics +\usepackage{xcolor} % Driver-independent color extensions +\usepackage{marvosym, wasysym} % More symbols +\usepackage{rotating} % Rotation tools +\usepackage{censor} % Facilities for controlling restricted text +\usepackage{listings, style/lstlisting} % Environment for non-formatted code, !uses style file! +\usepackage{pseudocode} % Environment for specifying algorithms in a natural way +\usepackage{style/avm} % Environment for f-structures, !uses style file! +\usepackage{booktabs} % Enhances quality of tables +\usepackage{tikz-qtree} % Easy tree drawing tool +\tikzset{every tree node/.style={align=center,anchor=north}, + level distance=2cm} % Configuration for q-trees +\usepackage{style/btree} % Configuration for b-trees and b+-trees, !uses style file! +\usepackage{csquotes} % Context sensitive quotation facilities +\usepackage[yyyymmdd]{datetime} % Uses YEAR-MONTH-DAY format for dates +\renewcommand{\dateseparator}{-} % Sets dateseparator to '-' +\usepackage{fancyhdr} % Headers and footers +\pagestyle{fancy} % All pages have headers and footers +\fancyhead{}\renewcommand{\headrulewidth}{0pt} % Blank out the default header +\fancyfoot[L]{} % Custom footer text +\fancyfoot[C]{} % Custom footer text +\fancyfoot[R]{\thepage} % Custom footer text +\newcommand{\note}[1]{\marginpar{\scriptsize \textcolor{red}{#1}}} % Enables comments in red on margin + +%---------------------------------------------------------------------------------------- diff --git a/second/semester2/CT2109/Assignments/Assignment-04/latex/references.bib b/second/semester2/CT2109/Assignments/Assignment-04/latex/references.bib new file mode 100644 index 00000000..8a3f1687 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-04/latex/references.bib @@ -0,0 +1,116 @@ +@online{wolframnphard, + author = "Eric W. Weisstein", + title = "NP-Hard Problem", + publisher = "MathWorld = A Wolfram Web Resource", + url = "https://mathworld.wolfram.com/NP-HardProblem.html", + addendum = "(Accessed: 2023-03-03)" +} +@online{wolfram, + author = "David Terr", + title = "Polynomial Time", + url = "https://mathworld.wolfram.com/PolynomialTime.html", + addendum = "(Accessed: 2023-03-03)", + keywords = "p" +} +@online{slides, + author = "Frank Glavin", + title = "Topic Three: Algorithm Analysis \& Dynamic Programming Part II", + addendum = "Uploaded to Blackboard: 2023-02-17", + keywords = "p,np," +} +@online{floydnondeterm, + author = "Robert W. Floyd", + title = "Nondeterministic Algorithms", + publisher = "Journal of the ACM", + date = "1967-10", + doi = "10.1145/321420.321422" +} +@online{britnpcomp, + author = "William L. Hosch", + title = "NP-complete problem", + publisher = "Encyclopedia Britannica", + date = "2023-03-10", + url = "https://www.britannica.com/science/NP-complete-problem#ref97458", + addendum="(Accessed: 2023-03-03)" +} +@online{techopedia, + title = "Non-Deterministic Polynomial Time (NP)", + publisher = "techopedia", + date = "2019-08-29", + url = "https://www.techopedia.com/definition/21028/non-deterministic-polynomial-time-np", + addendum="(Accessed: 2023-03-03)" +} +@online{fortnow, + author = "Lance Fortnow", + title = "The status of the P versus NP problem", + publisher = "Communications of the ACM", + date = "2009", + doi = " 10.1145/1562164.1562186" +} +@online{britpvsnpproblem, + author = "William L. Hosch", + title = "P versus NP problem", + publisher = "Encyclopedia Britannica", + date = "2023-02-22", + url = "https://www.britannica.com/science/P-versus-NP-problem", + addendum="(Accessed: 2023-03-03)" +} +@online{salesman, + author = "Stephan C. Carlson", + title = "Travelling salesman Problem", + publisher = "Encyclopedia Britannica", + date = "2023-02-05", + url = "https://www.britannica.com/science/traveling-salesman-problem", + addendum="(Accessed: 2023-03-03)" +} +@book{interact, + author = "Michael R. Garey \& David S. Johnson", + title = "Computers \& Intractability: A Guide to the Theory of NP-Completeness", + publisher = "W.H. Freeman", + date = "1979", + isbn = "0-7167-1045-5" +} +@online{halting, + author = "Karleigh Moore et al.", + title = "Halting Problem", + publisher = "Brilliant", + url = "https://brilliant.org/wiki/halting-problem/", + addendum="(Accessed: 2023-03-03)" +} +@online{npcompbrit, + author = "Erik Gregersen", + title = "NP-Complete Problem", + publisher = "Encyclopedia Britannica", + date = "2023-03-10", + url = "https://www.britannica.com/science/traveling-salesman-problem", + addendum="(Accessed: 2023-03-12)" +} +@online{cook, + author = "Stephen Cook", + title = "The complexity of theorem-proving procedures", + publisher = "Proceedings of the Third Annual ACM Symposium on Theory of Computing", + date = "1971", + doi = "10.1145/800157.805047" +} +@online{pvsnpbrit, + author = "William L. Hosch", + title = "P versus NP problem", + publisher = "Encyclopedia Britannica", + date = "2023-02-22", + url = "https://www.britannica.com/science/P-versus-NP-problem", + addendum="(Accessed: 2023-03-03)" +} +@online{poll, + author = "William I. Gasarch", + title = "The P=?NP poll", + publisher = "SIGACT News", + date = "2002-06", + doi = "10.1145/564585.564599" +} +@online{sipser, + author = "Michael Sipser", + title = "The history \& status of the P versus NP question", + publisher = "Proceedings of the twenty-fourth annual ACM Symposium on Theory of Computing", + date = "1992-07", + doi = "10.1145/129712.129771" +} diff --git a/second/semester2/CT2109/Assignments/Assignment-04/latex/references.bib.bbl b/second/semester2/CT2109/Assignments/Assignment-04/latex/references.bib.bbl new file mode 100644 index 00000000..e69de29b diff --git a/second/semester2/CT2109/Assignments/Assignment-04/latex/references.bib.blg b/second/semester2/CT2109/Assignments/Assignment-04/latex/references.bib.blg new file mode 100644 index 00000000..e913468e --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-04/latex/references.bib.blg @@ -0,0 +1,5 @@ +[0] Config.pm:306> INFO - This is Biber 2.18 +[0] Config.pm:309> INFO - Logfile is 'references.bib.blg' +[47] biber:340> INFO - === Tue Mar 14, 2023, 17:38:23 +[129] Utils.pm:410> ERROR - Cannot find 'references.bib.bcf'! +[129] Biber.pm:135> INFO - ERRORS: 1 diff --git a/second/semester2/CT2109/Assignments/Assignment-04/latex/style/avm.sty b/second/semester2/CT2109/Assignments/Assignment-04/latex/style/avm.sty new file mode 100644 index 00000000..a872483c --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-04/latex/style/avm.sty @@ -0,0 +1,165 @@ +% avm.sty -- for attribute-value matrices -- mar 29, 1992; rev. dec 6, 1993 +% (c) 1992 christopher manning (manning@csli.stanford.edu) -- see avm.doc.tex + +\newif\ifavmactive\newif\ifavmsorted\newif\ifavmlabeled +\newif\ifavmcenter\newif\ifavmbottom +\newif\ifavmbottomright\newif\ifavmtopleft\newif\ifavmtopright + +\newdimen\avmdimen +\newbox\avmboxone\newbox\avmboxthree + +\def\avmoptions#1{\avmactivefalse\avmsortedfalse\avmlabeledfalse + \avmcenterfalse\avmbottomfalse + \avmbottomrightfalse\avmtopleftfalse\avmtoprightfalse + \def\more{#1}\ifx\more\empty\else\avmjoptions#1,\@nil\fi} +\def\avmjoptions#1,#2\@nil{\def\more{#2}\csname avm#1true\endcsname + \ifx\more\empty\else\avmjoptions#2\@nil\fi} + + +\def\avmfont#1{\def\avmjfont{#1}} +\def\avmjfont{} + +\def\avmvalfont#1{\def\avmjvalfont{#1}} +\def\avmjvalfont{} + +\def\avmsortfont#1{\def\avmjsortfont{#1}} +\def\avmjsortfont{} + +\def\avmhskip#1{\def\avmjhskip{#1}} +\def\avmjhskip{1em} + +\def\avmbskip#1{\def\avmjbskip{#1}} +\def\avmjbskip{0em} + +\def\avmvskip#1{\def\avmjvskip{#1}} +\def\avmjvskip{0.385ex}%was .3875 + + +\def\avmjprolog#1{$\mskip-\thinmuskip + \left#1\hskip\avmjbskip\vcenter\bgroup\vskip\avmjvskip + \ialign\bgroup\avmjfont + \strut ##\unskip\hfil + &&\hskip\avmjhskip\avmjvalfont ##\unskip\hfil\cr} +\def\avmjpostlog#1{\crcr\egroup\vskip\avmjvskip\egroup + \hskip\avmjbskip\right#1\mskip-\thinmuskip$\ignorespaces} + + +\def\avmjcatcode{\let\lparen=(\let\rparen=)\catcode`\[=13\catcode`\]=13 + \catcode`\<=13\catcode`\@=13\catcode`\(=13\catcode`\)=13 + \catcode`\>=13\catcode`\|=13} + +{\avmjcatcode % new group: redefine above catcodes as active + +\gdef\specialavm{\avmjcatcode +\def({\avmjprolog\lparen}% +\def){\avmjpostlog\rparen}% +\def<{\avmjprolog\langle}% +\def>{\avmjpostlog\rangle}% +\ifavmsorted +\def[##1{\setbox\avmboxthree=\hbox{\avmjsortfont##1\/}\setbox2=\hbox + \bgroup\avmjprolog\lbrack}% +\def]{\avmjpostlog\rbrack\egroup\avmjsort}% +\else\ifavmlabeled +\def[##1{\def\more{##1}\setbox2=\hbox\bgroup\avmjprolog[}% +\def]{\avmjpostlog]\egroup\node{\more}{\box2}}% +\else +\def[{\avmjprolog\lbrack}% +\def]{\avmjpostlog\rbrack}% +\fi\fi +% +\def\<{$\langle$}\def\>{$\rangle$}% +\def\({\lparen}\def\){\rparen}% +\def\[{\lbrack}\def\]{\rbrack}% +\def|{$\,\vert\,$}% +\def@##1{\avmbox{##1}}% +} % end defn of \specialavm +} % restore active catcodes + + +\long\def\avm{\begingroup +\ifavmactive\specialavm +\else +\def\({\avmjprolog(}% +\def\){\avmjpostlog)}% +\def\<{\avmjprolog\langle}% +\def\>{\avmjpostlog\rangle}% +% +\ifavmsorted +\def\[##1{\setbox\avmboxthree=\hbox{\avmjsortfont##1\/}\setbox + 2=\hbox\bgroup\avmjprolog[}% +\def\]{\avmjpostlog]\egroup\avmjsort}% +\else\ifavmlabeled +\def\[##1{\def\more{##1}\setbox2=\hbox\bgroup\avmjprolog[}% +\def\]{\avmjpostlog]\egroup\node{\more}{\box2}}% +\else +\def\[{\avmjprolog[}% +\def\]{\avmjpostlog]}% +\fi\fi +% +\def\|{$\,\vert\,$}% +\def\@##1{\avmbox{##1}}% +\fi % end not active +% +\ifx\LaTeX\undefined\def\\{\cr}% running under TeX +\else \def\\{\@tabularcr}% Leverage off LaTeX's \\*[dimen] options +\fi +\def\!{\node}% +\long\def\avmjsort{\dimen2=\ht2\advance\dimen2 by -.25\baselineskip + \global\dimen\avmdimen=\wd\avmboxthree + \ifavmtopleft \raise\dimen2\llap{\box\avmboxthree}\box2% + \else\ifavmtopright \box2\raise\dimen2\box\avmboxthree% + \else\ifavmbottomright \box2\lower\dimen2\box\avmboxthree% + \else \lower\dimen2\llap{\box\avmboxthree}\box2% + \fi\fi\fi}% +\long\def\sort##1##2{\setbox2=\hbox{##2}\setbox + \avmboxthree=\hbox{\avmjsortfont##1\/}\dimen2=\ht2 + \advance\dimen2 by -.25\baselineskip + \ifavmtopleft \raise\dimen2\box\avmboxthree\box2% + \else\ifavmtopright \box2\raise\dimen2\box\avmboxthree% + \else\ifavmbottomright \box2\lower\dimen2\box\avmboxthree% + \else \lower\dimen2\box\avmboxthree\box2% + \fi\fi\fi}% +\long\def\osort##1##2{\setbox2=\hbox{##2}\setbox + \avmboxthree=\hbox{\avmjsortfont ##1\/}\avmjsort}% +\def\avml{\avmjprolog.}% +\def\avmr{\avmjpostlog.}% +\def\avmb##1{\node{##1}{\lbrack\;\rbrack}}% +\def\avmd##1{\node{##1}{---}}% +\def\q##1{\ifx ##1\{$\lbrace$\else + \ifx ##1\}$\rbrace$\else + \ifx ##1<$\langle$\else + \ifx ##1>$\rangle$\fi \fi \fi \fi}% +\def\{{\avmjprolog\lbrace}% +\def\}{\avmjpostlog\rbrace}% +\def\;{\hskip\avmjhskip}% +\def\avmspan##1{\multispan2\strut ##1\expandafter\hfil}% +\avmjfont +\openup\avmjvskip +\setbox\avmboxone=\hbox\bgroup\ignorespaces +} % end defn of \avm + + +\def\endavm{\egroup\ifvmode\leavevmode\fi % this if is useful! + \ifavmsorted\null\hskip\dimen\avmdimen\fi + \ifavmcenter + \box\avmboxone + \else \ifavmbottom + \lower.575\baselineskip\hbox{\vbox{\box\avmboxone\null}}% + \else +% the next bit is ripped off from Emma's \evnup in lingmacros.sty + \dimen2=\ht\avmboxone\advance\dimen2 by -.725\baselineskip + \lower\dimen2\box\avmboxone +\fi \fi \endgroup} + + +% based on TeXbook exercise 21.3 +\def\avmbox#1{\setbox2=\hbox{$\scriptstyle #1$}\lower.2ex\vbox{\hrule + \hbox{\vrule\kern1.25pt + \vbox{\kern1.25pt\box2\kern1.25pt}\kern1.25pt\vrule}\hrule}} + +% ============ COSTOM CONFIGURATION ============= +\avmfont{\sc} +\avmoptions{sorted,active} +\avmvalfont{\rm} +\avmsortfont{\scriptsize\it} +% =============================================== \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-04/latex/style/btree.sty b/second/semester2/CT2109/Assignments/Assignment-04/latex/style/btree.sty new file mode 100644 index 00000000..edec4533 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-04/latex/style/btree.sty @@ -0,0 +1,131 @@ +%% Last Modified: Thu Oct 18 18:26:25 2007. + +\NeedsTeXFormat{LaTeX2e} +\ProvidesPackage{style/btree} +\typeout{Document Style `weiw_BTree - Support drawing B+-Tree (ver 0.999)} + +\RequirePackage{tikz} +\RequirePackage{ifthen} + +% use libraries +\usetikzlibrary{arrows,shapes,decorations,matrix} + + +%% global declaration +\tikzstyle{btreeptr} = [draw, semithick, minimum height=2em] +\tikzstyle{btreeval} = [draw, semithick, minimum size=2em] +\tikzstyle{btreevale} = [draw,semithick, minimum size=2em] +\tikzstyle{btlink} = [draw, semithick, ->, >=triangle 45] + +%% macro +%% helper macros +\newcommand{\suppressemptystr}[1]{% leave blank for entries in leaf nodes + \ifthenelse{\equal{#1}{}}% + {% + \relax% + }% + % Else + {% + #1\textsuperscript{*}% + }% +}% + +\newcommand{\xyshift}[3]{% help to place the nodes + \begin{scope}[xshift=#1, yshift=#2] + #3 + \end{scope}% +} + +%% Common btree macros +\newcommand{\btreelink}[2]{% #1: src node; #2: dest node; + \draw[btlink] ([yshift=3pt] #1.south) -- (#2-b.north); +} + +\newcommand{\btreelinknorth}[2]{% #1: src node; #2: dest node; + \draw[btlink] ([yshift=3pt] #1.south) -- (#2.north); +} + +\newcommand{\btreetriangle}[2]{% #1: node name; #2 text inside + \node[anchor=north, regular polygon, regular polygon sides=3, draw] (#1) {#2}; +} + +%%====================================================================== +%% btree with capacity = 4 +\newcommand{\btreeinodefour}[5]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \& \node[btreeval] (#1-c) {#4}; \& + \node[btreeptr] (#1-4) {\vphantom{1}}; \& \node[btreeval] (#1-d) {#5}; \& + \node[btreeptr] (#1-5) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodefour}[5]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \& + \node[btreevale] (#1-c) {\suppressemptystr{#4}}; \& + \node[btreevale] (#1-d) {\suppressemptystr{#5}}; \\ + }; +} + +%%====================================================================== +%% btree with capacity = 3 +\newcommand{\btreeinodethree}[4]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \& \node[btreeval] (#1-c) {#4}; \& + \node[btreeptr] (#1-4) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodethree}[4]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \& + \node[btreevale] (#1-c) {\suppressemptystr{#4}}; \\ + }; +} + +%%====================================================================== +%% btree with capacity = 2 +\newcommand{\btreeinodetwo}[4]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodetwo}[3]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \\ + }; +} +%%====================================================================== + + + + +%% simple example +% \begin{center} +% \scalebox{0.7}{ +% \begin{tikzpicture} +% % +% \btreeinodefour{root}{13}{17}{24}{30}; +% \xyshift{-40mm}{-20mm}{\btreelnodefour{n1}{2}{3}{5}{7}} +% \xyshift{-0mm}{-20mm}{\btreelnodefour{n2}{14}{16}{}{}} +% \xyshift{40mm}{-20mm}{\btreelnodefour{n3}{19}{20}{22}{}} +% \xyshift{80mm}{-20mm}{\btreelnodefour{n4}{24}{27}{29}{}} +% \xyshift{120mm}{-20mm}{\btreelnodefour{n5}{33}{34}{38}{39}} +% % +% \foreach \x in {1,2,...,5} { \btreelink{root-\x}{n\x} } +% \end{tikzpicture} +% } +% \end{center} \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-04/latex/style/image.png b/second/semester2/CT2109/Assignments/Assignment-04/latex/style/image.png new file mode 100644 index 00000000..a76881b5 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-04/latex/style/image.png differ diff --git a/second/semester2/CT2109/Assignments/Assignment-04/latex/style/lstlisting.sty b/second/semester2/CT2109/Assignments/Assignment-04/latex/style/lstlisting.sty new file mode 100644 index 00000000..3d6ba743 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-04/latex/style/lstlisting.sty @@ -0,0 +1,38 @@ +% Source: ss17_wissschreib (Eva) + +\lstset{ + basicstyle=\ttfamily\scriptsize\mdseries, + keywordstyle=\bfseries\color[rgb]{0.171875, 0.242188, 0.3125}, + identifierstyle=, + commentstyle=\color[rgb]{0.257813, 0.15625, 0}, + stringstyle=\itshape\color[rgb]{0.0195313, 0.195313, 0.0117188}, + numbers=left, + numberstyle=\tiny, + stepnumber=1, + breaklines=true, + frame=none, + showstringspaces=false, + tabsize=4, + backgroundcolor=\color[rgb]{0.98,0.98,0.98}, + captionpos=b, + float=htbp, + language=Python, + xleftmargin=15pt, + xrightmargin=15pt +} + +%(deutsche) Sonderzeichen +\lstset{literate=% + {Ä}{{\"A}}1 + {Ö}{{\"O}}1 + {Ü}{{\"U}}1 + {ä}{{\"a}}1 + {ö}{{\"o}}1 + {ü}{{\"u}}1 + {ß}{{\ss}}1 +} + +%Verwendung im Text: +%-> \begin{lstlisting}[language=Python,firstnumber=27] ... \end{lstlisting} +%-> \begin{lstlisting}[language=Python,numbers=none] ... \end{lstlisting} +%-> \lstinline[language=JAVA]{...} \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-05/Assignment 5 - 2023.pdf b/second/semester2/CT2109/Assignments/Assignment-05/Assignment 5 - 2023.pdf new file mode 100644 index 00000000..77e4a97c Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-05/Assignment 5 - 2023.pdf differ diff --git a/second/semester2/CT2109/Assignments/Assignment-05/code/BinaryNode.java b/second/semester2/CT2109/Assignments/Assignment-05/code/BinaryNode.java new file mode 100644 index 00000000..89754dd6 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-05/code/BinaryNode.java @@ -0,0 +1,123 @@ +/** + * A class that represents nodes in a binary tree. + * + * @author Frank M. Carrano + * @version 2.0 + */ +class BinaryNode implements BinaryNodeInterface, java.io.Serializable +{ + private static final long serialVersionUID = 6828929352995534482L; // needed for serializable objects + + private T data; + private BinaryNode left; + private BinaryNode right; + + public BinaryNode() + { + this(null); // call next constructor + } // end default constructor + + public BinaryNode(T dataPortion) + { + this(dataPortion, null, null); // call next constructor + } // end constructor + + public BinaryNode(T dataPortion, BinaryNode leftChild, + BinaryNode rightChild) + { + data = dataPortion; + left = leftChild; + right = rightChild; + } // end constructor + + public T getData() + { + return data; + } // end getData + + public void setData(T newData) + { + data = newData; + } // end setData + + public BinaryNodeInterface getLeftChild() + { + return left; + } // end getLeftChild + + public BinaryNodeInterface getRightChild() + { + return right; + } // end getRightChild + + public void setLeftChild(BinaryNodeInterface leftChild) + { + left = (BinaryNode)leftChild; + } // end setLeftChild + + public void setRightChild(BinaryNodeInterface rightChild) + { + right = (BinaryNode)rightChild; + } // end setRightChild + + public boolean hasLeftChild() + { + return left != null; + } // end hasLeftChild + + public boolean hasRightChild() + { + return right != null; + } // end hasRightChild + + public boolean isLeaf() + { + return (left == null) && (right == null); + } // end isLeaf + + // 26.06 + public BinaryNodeInterface copy() + { + BinaryNode newRoot = new BinaryNode(data); + + if (left != null) + newRoot.left = (BinaryNode)left.copy(); + + if (right != null) + newRoot.right = (BinaryNode)right.copy(); + + return newRoot; + } // end copy + + // 26.11 + public int getHeight() + { + return getHeight(this); // call private getHeight + } // end getHeight + + // 26.11 + private int getHeight(BinaryNode node) + { + int height = 0; + + if (node != null) + height = 1 + Math.max(getHeight(node.left), getHeight(node.right)); + + return height; + } // end getHeight + + // 26.11 + public int getNumberOfNodes() + { + int leftNumber = 0; + int rightNumber = 0; + + if (left != null) + leftNumber = left.getNumberOfNodes(); + + if (right != null) + rightNumber = right.getNumberOfNodes(); + + return 1 + leftNumber + rightNumber; + } // end getNumberOfNodes +} // end BinaryNode \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-05/code/BinaryNodeInterface.java b/second/semester2/CT2109/Assignments/Assignment-05/code/BinaryNodeInterface.java new file mode 100644 index 00000000..1a061aef --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-05/code/BinaryNodeInterface.java @@ -0,0 +1,56 @@ +/** + * An interface for a node in a binary tree. + * + * @author Frank M. Carrano + * @version 2.0 + */ +interface BinaryNodeInterface +{ + /** Task: Retrieves the data portion of the node. + * @return the object in the data portion of the node */ + public T getData(); + + /** Task: Sets the data portion of the node. + * @param newData the data object */ + public void setData(T newData); + + /** Task: Retrieves the left child of the node. + * @return the node that is this nodeÕs left child */ + public BinaryNodeInterface getLeftChild(); + + /** Task: Retrieves the right child of the node. + * @return the node that is this nodeÕs right child */ + public BinaryNodeInterface getRightChild(); + + /** Task: Sets the nodeÕs left child to a given node. + * @param leftChild a node that will be the left child */ + public void setLeftChild(BinaryNodeInterface leftChild); + + /** Task: Sets the nodeÕs right child to a given node. + * @param rightChild a node that will be the right child */ + public void setRightChild(BinaryNodeInterface rightChild); + + /** Task: Detects whether the node has a left child. + * @return true if the node has a left child */ + public boolean hasLeftChild(); + + /** Task: Detects whether the node has a right child. + * @return true if the node has a right child */ + public boolean hasRightChild(); + + /** Task: Detects whether the node is a leaf. + * @return true if the node is a leaf */ + public boolean isLeaf(); + + /** Task: Counts the nodes in the subtree rooted at this node. + * @return the number of nodes in the subtree rooted at this node */ + public int getNumberOfNodes(); + + /** Task: Computes the height of the subtree rooted at this node. + * @return the height of the subtree rooted at this node */ + public int getHeight(); + + /** Task: Copies the subtree rooted at this node. + * @return the root of a copy of the subtree rooted at this node */ + public BinaryNodeInterface copy(); +} // end BinaryNodeInterface \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-05/code/BinaryTree.java b/second/semester2/CT2109/Assignments/Assignment-05/code/BinaryTree.java new file mode 100644 index 00000000..020374e5 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-05/code/BinaryTree.java @@ -0,0 +1,139 @@ +/** + * A class that implements the ADT binary tree. + * + * @author Frank M. Carrano + * @version 2.0 + */ +public class BinaryTree implements BinaryTreeInterface, java.io.Serializable +{ + private static final long serialVersionUID = -1932834476575953631L; + private BinaryNodeInterface root; + + public BinaryTree() + { + root = null; + } // end default constructor + + public BinaryTree(T rootData) + { + root = new BinaryNode(rootData); + } // end constructor + + public BinaryTree(T rootData, BinaryTree leftTree, + BinaryTree rightTree) + { + privateSetTree(rootData, leftTree, rightTree); + } // end constructor + + public void setTree(T rootData) + { + root = new BinaryNode(rootData); + } // end setTree + + public void setTree(T rootData, BinaryTreeInterface leftTree, + BinaryTreeInterface rightTree) + { + privateSetTree(rootData, (BinaryTree)leftTree, + (BinaryTree)rightTree); + } // end setTree + + // 26.08 + private void privateSetTree(T rootData, BinaryTree leftTree, + BinaryTree rightTree) + { + root = new BinaryNode(rootData); + + if ((leftTree != null) && !leftTree.isEmpty()) + root.setLeftChild(leftTree.root); + + if ((rightTree != null) && !rightTree.isEmpty()) + { + if (rightTree != leftTree) + root.setRightChild(rightTree.root); + else + root.setRightChild(rightTree.root.copy()); + } // end if + + if ((leftTree != null) && (leftTree != this)) + leftTree.clear(); + + if ((rightTree != null) && (rightTree != this)) + rightTree.clear(); + } // end privateSetTree + + + private BinaryNode copyNodes() // not essential + { + return (BinaryNode)root.copy(); + } // end copyNodes + + // 26.09 + public T getRootData() + { + T rootData = null; + + if (root != null) + rootData = root.getData(); + + return rootData; + } // end getRootData + + // 26.09 + public boolean isEmpty() + { + return root == null; + } // end isEmpty + + // 26.09 + public void clear() + { + root = null; + } // end clear + + // 26.09 + protected void setRootData(T rootData) + { + root.setData(rootData); + } // end setRootData + + // 26.09 + protected void setRootNode(BinaryNodeInterface rootNode) + { + root = rootNode; + } // end setRootNode + + // 26.09 + protected BinaryNodeInterface getRootNode() + { + return root; + } // end getRootNode + + // 26.10 + public int getHeight() + { + return root.getHeight(); + } // end getHeight + + // 26.10 + public int getNumberOfNodes() + { + return root.getNumberOfNodes(); + } // end getNumberOfNodes + + // 26.12 + public void inorderTraverse() + { + inorderTraverse(root); + } // end inorderTraverse + + private void inorderTraverse(BinaryNodeInterface node) + { + if (node != null) + { + inorderTraverse(node.getLeftChild()); + System.out.println(node.getData()); + inorderTraverse(node.getRightChild()); + } // end if + } // end inorderTraverse + +} // end BinaryTree \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-05/code/BinaryTreeInterface.java b/second/semester2/CT2109/Assignments/Assignment-05/code/BinaryTreeInterface.java new file mode 100644 index 00000000..0e03ced2 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-05/code/BinaryTreeInterface.java @@ -0,0 +1,20 @@ +/** + * An interface for the ADT binary tree. + * + * @author Frank M. Carrano + * @version 2.0 + */ +public interface BinaryTreeInterface extends TreeInterface +{ + /** Task: Sets an existing binary tree to a new one-node binary tree. + * @param rootData an object that is the data in the new treeÕs root + */ + public void setTree(T rootData); + + /** Task: Sets an existing binary tree to a new binary tree. + * @param rootData an object that is the data in the new treeÕs root + * @param leftTree the left subtree of the new tree + * @param rightTree the right subtree of the new tree */ + public void setTree(T rootData, BinaryTreeInterface leftTree, + BinaryTreeInterface rightTree); +} // end BinaryTreeInterface \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-05/code/GuessingGame.java b/second/semester2/CT2109/Assignments/Assignment-05/code/GuessingGame.java new file mode 100644 index 00000000..6c0a4a5a --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-05/code/GuessingGame.java @@ -0,0 +1,217 @@ +import java.util.*; +import java.io.*; + +@SuppressWarnings("unchecked") // ignoring warnings lol +public class GuessingGame implements Serializable { + private static BinaryTree tree = new BinaryTree(); + private static String input; // string to which input will be read + private static Scanner sc = new Scanner(System.in); // scanner to read in input + + public static void main(String[] args) { + while (1 == 1) { + // pick the tree that will be used for the game, either from a file or built-in + loadTree(); + + // play the game + gameplay(); + + playAgainLoop: while (1 == 1) { + System.out.printf("Enter '1' to play again, '2' to quit, or '3' to save the tree to a file\n> "); + input = sc.nextLine(); + + switch (input) { + case "1": // going back to start of loop + break playAgainLoop; + + case "2": + System.exit(0); + break playAgainLoop; + + case "3": // storing the tree, this should not break the loop + storeTree(); + break; + + default: + // loop + } + } + } + } + + // method that serializes a tree object to a file + public static void storeTree() { + // scanning in the name of the file from the user + System.out.printf("Enter the name of the file that it the tree should be stored as\n> "); + input = sc.nextLine(); + + try { + // creating output streams + FileOutputStream fos = new FileOutputStream(input); + ObjectOutputStream oos = new ObjectOutputStream(fos); + + // writing the tree object ot the file + oos.writeObject(tree); + + // closing output streams + oos.close(); + fos.close(); + } + // catching IOExceptions + catch (IOException E) { + System.out.println(E); + System.exit(1); + } + } + + // method to load a tree, either from a file, from memory, or hardcoded in + public static void loadTree() { + // looping until an appropriate choice is made + loadTreeLoop: while (1 == 1) { + System.out.printf("Load a tree from a file? If no, then the built-in tree will be used. y/n\n> "); + input = sc.nextLine(); + + switch (input) { + case "y": + // looping until valid filename is entered + while (1 == 1) { + System.out.printf("Enter the file from which the tree should be loaded\n> "); + input = sc.nextLine(); + + File treefile = new File(input); + + // breaking if the file exists + if (treefile.exists()) { + break; + } + } + + try { + // creating input streams + FileInputStream fis = new FileInputStream(input); + ObjectInputStream ois = new ObjectInputStream(fis); + + // deserializing tree object + tree = (BinaryTree) ois.readObject(); + + // closing input streams + ois.close(); + fis.close(); + } + // printing errors and crashing + catch(IOException E) { + System.out.println(E); + System.exit(1); + } + catch (ClassNotFoundException E) { + System.out.println(E); + System.exit(1); + } + + break loadTreeLoop; + + case "n": + // if no tree is defined building the default tree + if (tree.getRootNode() == null) { + // first the leaves + BinaryTree cowTree = new BinaryTree("Is it a cow?"); + BinaryTree dogTree = new BinaryTree("Is it a dog?"); + BinaryTree fishTree = new BinaryTree("Is it a goldfish?"); + BinaryTree geckoTree = new BinaryTree("Is it a gecko?"); + + // Now the subtrees joining leaves: + BinaryTree mammalTree = new BinaryTree("Is it a farm animal?", cowTree, dogTree); + BinaryTree notMammalTree = new BinaryTree("Is it a type of fish?", fishTree, geckoTree); + + // Now the root + tree.setTree("Is it a mammal?", mammalTree, notMammalTree); + } + + break loadTreeLoop; + + default: + // loop + } + } + } + + public static void gameplay() { + System.out.println("Enter 'y' for 'yes', 'n' for 'no'"); + + BinaryNodeInterface curr = tree.getRootNode(); // current node + + // looping until a leaf node is reached + while (!curr.isLeaf()) { + // looping until an appropriate reply is given by the user + answerloop: while (1 == 1) { + // printing the question & scanning in the answer + System.out.printf(curr.getData() + "\n> "); + input = sc.nextLine(); + + switch (input) { + case "y": // continuing via left node if answer to question is yes + curr = curr.getLeftChild(); + break answerloop; + + case "n": // continuing via right node if answer to question is no + curr = curr.getRightChild(); + break answerloop; + + default: + // loop + } + } + } + + // making a guess + // looping until an appropriate reply is given by the user + guessloop: while (1 == 1) { + // printing the question & scanning in the answer + System.out.printf(curr.getData() + "\n> "); + input = sc.nextLine(); + + switch (input) { + case "y": // printing a success message if the answer is yes + System.out.println("Success! The guess was correct"); + break guessloop; + + case "n": // inserting a new question and putting the two guesses beneath it if wrong + System.out.printf("Enter the animal that you were thinking of\n> "); + String thinkingOf = sc.nextLine(); + String wrong = curr.getData(); + + // ask the user for a question to distinguish the wrong guess from the correct answer + System.out.printf("Enter a question to distinguish %s from '%s'\n> ", thinkingOf, wrong); + String question = sc.nextLine(); + + // replacing the current node with the question to distinguish it + curr.setData(question); + + // asking the user for the correct answer to the question for the animal they were thinking of + addNodeLoop: while (1 == 1) { // looping until an appropriate answer is given + System.out.printf("Enter the correct answer to the question that you entered for %s (y or n)\n> ", thinkingOf); + input = sc.nextLine(); + + switch (input) { + case "y": // adding thinkingOf to the left of the question node if the answer is yes + curr.setLeftChild(new BinaryNode("Is it a " + thinkingOf + "?")); + curr.setRightChild(new BinaryNode(wrong)); + break addNodeLoop; + + case "n": // adding thinkingOf to the left of the question node if the answer is no + curr.setLeftChild(new BinaryNode(wrong)); + curr.setRightChild(new BinaryNode("Is it a " + thinkingOf + "?")); + break addNodeLoop; + + default: + // loop + } + } + + break guessloop; + + default: + // loop + } + } + } +} diff --git a/second/semester2/CT2109/Assignments/Assignment-05/code/TreeInterface.java b/second/semester2/CT2109/Assignments/Assignment-05/code/TreeInterface.java new file mode 100644 index 00000000..fe1a1b5b --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-05/code/TreeInterface.java @@ -0,0 +1,14 @@ +/** + * An interface for basic operations of a tree. + * + * @author Frank M. Carrano + * @version 2.0 + */ +public interface TreeInterface +{ + public T getRootData(); + public int getHeight(); + public int getNumberOfNodes(); + public boolean isEmpty(); + public void clear(); +} // end TreeInterface \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-05/code/mytree.bin b/second/semester2/CT2109/Assignments/Assignment-05/code/mytree.bin new file mode 100644 index 00000000..afc33d5e Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-05/code/mytree.bin differ diff --git a/second/semester2/CT2109/Assignments/Assignment-05/latex/CT2109-Assignment-05.pdf b/second/semester2/CT2109/Assignments/Assignment-05/latex/CT2109-Assignment-05.pdf new file mode 100644 index 00000000..33b5e3f4 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-05/latex/CT2109-Assignment-05.pdf differ diff --git a/second/semester2/CT2109/Assignments/Assignment-05/latex/CT2109-Assignment-05.run.xml b/second/semester2/CT2109/Assignments/Assignment-05/latex/CT2109-Assignment-05.run.xml new file mode 100644 index 00000000..fae76a1c --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-05/latex/CT2109-Assignment-05.run.xml @@ -0,0 +1,85 @@ + + + + + + + + + + + + + + + + + + + + + + + + +]> + + + latex + + CT2109-Assignment-05.bcf + + + CT2109-Assignment-05.bbl + + + blx-dm.def + blx-compat.def + biblatex.def + standard.bbx + numeric.bbx + numeric.cbx + biblatex.cfg + english.lbx + + + + biber + + biber + CT2109-Assignment-05 + + + CT2109-Assignment-05.bcf + + + CT2109-Assignment-05.bbl + + + CT2109-Assignment-05.bbl + + + CT2109-Assignment-05.bcf + + + ecl.bib + + + diff --git a/second/semester2/CT2109/Assignments/Assignment-05/latex/CT2109-Assignment-05.tex b/second/semester2/CT2109/Assignments/Assignment-05/latex/CT2109-Assignment-05.tex new file mode 100644 index 00000000..68acc5b6 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-05/latex/CT2109-Assignment-05.tex @@ -0,0 +1,187 @@ +% THIS DOCUMENT HAS BEEN EDITED FOR EXPERIMENTATION PURPOSES AND THUS NO LONGER IS THE SAME AS THE DOCUMENT SUBMITTED FOR GRADING +\documentclass[a4paper]{article} + +\usepackage{listings} +\usepackage{xcolor} +\definecolor{codegreen}{rgb}{0,0.6,0} +\definecolor{codegray}{rgb}{0.5,0.5,0.5} +\definecolor{codeorange}{rgb}{1,0.49,0} +\definecolor{backcolour}{rgb}{0.95,0.95,0.96} +\usepackage{sourcecodepro} +\usepackage{pgfplots} +\pgfplotsset{width=\textwidth,compat=1.9} + +\lstdefinestyle{mystyle}{ + backgroundcolor=\color{backcolour}, + commentstyle=\color{codegray}, + keywordstyle=\color{codeorange}, + numberstyle=\tiny\color{codegray}, + stringstyle=\color{codegreen}, + basicstyle=\ttfamily\footnotesize, + breakatwhitespace=false, + breaklines=true, + captionpos=b, + keepspaces=true, + numbers=left, + numbersep=5pt, + showspaces=false, + showstringspaces=false, + showtabs=false, + tabsize=2, + xleftmargin=10pt, +} + +\lstset{style=mystyle} + +\input{head} +\hypersetup{ + colorlinks, + urlcolor = black +} + +\raggedbottom +\begin{document} +% \renewcommand{\verbatim@font}{\ttfamily\small} + +%------------------------------- +% TITLE SECTION +%------------------------------- + +\fancyhead[C]{} +\hrule \medskip % Upper rule +\begin{minipage}{0.295\textwidth} + \begin{raggedright} + \footnotesize + Andrew Hayes \hfill\\ + 21321503 \hfill\\ + \href{mailto:a.hayes18@nuigalway.ie}{a.hayes18@nuigalway.ie} + \end{raggedright} +\end{minipage} +\begin{minipage}{0.4\textwidth} + \begin{centering} + \large + CT2109 Assignment 3\\ + \normalsize + \end{centering} +\end{minipage} +\begin{minipage}{0.295\textwidth} + \begin{raggedleft} + \footnotesize + \today \hfill\\ + \end{raggedleft} +\end{minipage} + +\medskip\hrule +\medskip +\begin{centering} + Expandable Binary Tree Guessing Game\\ +\end{centering} +\medskip\hrule +\bigskip + +\section{Problem Statement} +The problem of this assignment is to create an expandable binary tree guessing game, not unlike the popular web game ``Akinator''. +There will be a tree which will consist of question nodes. +Each node will contain some String data: this will be the question that the node represents. +These questions will be ``yes'' or ``no'' questions. +Each node will have a maximum of two children. +These children will represent the next question after the parent has been answered. +\\\\ +The tree will be traversed node by node, starting at the root node. +Each node's data will be printed to the user, and they will be prompted to answer the question by entering either ``y'' or ``n''. +If the user answers ``y'', then the next node traversed will be the left child of the current node, but if the answer is ``n'', then the next node will be the right child. +Nodes on the left represent an affirmative answer to the parent's question, and nodes on the right will represent a negative answer to the parent's question. +\\\\ +Eventually, a leaf node will be reached (a node with no children). +If a node is a leaf node, then this means that this node represents a guess by the game. +These guesses will be in the form of a ``yes'' or ``no'' question, e.g., ``Is it a dog?''. +If the user enters ``y'', then the program has won, and the game will be over. +If the user enters ``n'', then the user won the game, and the program will expand it's knowledge by asking the user for a question that distinguishes the game's guess from the correct answer. +This question will then be inserted in the tree to replace the leaf node that was the game's guess. +The user will then be asked if the answer to the distinguishing question for the correct answer should be ``y'' or ``n'', and the initial incorrect guess \& the correct answer will be inserted as children +of this parent node in the appropriate positions, depending on what the answer to the distinguishing question is. +\\\\ +This program will also implement the ability to save the binary tree to a file and to load a binary tree from a file. +The standard way of doing such a thing in Java is to implement the \verb|Serializable| interface. +This allows for an object to be written to a file and recovered at a later date, after an indefinite time period has elapsed, regardless of whether the program has been running or not. + +\section{Analysis \& Design Notes} +The main method of the program will consist of an infinite loop. +The loop will firstly call a \verb|loadTree()| method which does one of three things: load a tree from a file, generate a pre-built tree that's hardcoded in, or use an already defined tree in memory, if one +exists. +The user will be asked whether or not the tree should be loaded from a file. +A case statement will be used to react to the user's inputs, ``y'' for ``yes'', ``n'' for ``no''. +This will loop until a valid input is given. +If the answer is ``y'', then the user will be prompted to enter the name of the file from which the tree should be loaded. +This will loop until a valid filename is given (one that exists). +Then, the program will attempt to de-serialize the file into a \verb|BinaryTree| object, throwing an error and exiting if any problems are encountered. +Because this is not necessarily a safe operation, we presume that the user knows only to supply the program with valid files, and do not check for safety, instead opting to use \verb|@SuppressWarnings("unchecked")| +at the top of the class definition. +Although it would of course be better practise to ensure file safety, this is somewhat beyond the scope of the assignment, and not really relevant to the theory at hand. +If the user opts to not load the tree from a file, one will be generated from some hardcoded values, provided that the existing tree is \verb|null|. +If the existing tree is not \verb|null|, then the existing tree is used instead. +This will only occur on rematches. +\\\\ +After the tree has been loaded, the \verb|gameplay()| method will be called, and the game will begin. +This method will loop over each node, starting at the root node, while the current node is not a leaf node (i.e., while the current node has children). +The data of this node (a question String) will be printed out, and the user will enter ``y'' or ``n'' to answer the question. +If the user enters anything else, it will loop on this question until an appropriate answer is given. +Then, depending on the input, the current node will be replaced with the left or the right child of the current node, left for ``y'', right for ``n''. +An appropriate answer will break out of the loop using a label. +\\\\ +When a leaf node is reached, the loop will end and a guess will be made. +The user will be asked to verify the guess, and this will loop until an appropriate answer is given. +If the user confirms the guess as correct, the game ends, and the user will be presented with a game menu. +Otherwise, the user will be asked what they were thinking of. +They will then be asked to provide a question to distinguish what they were thinking of from the program's guess, and the appropriate answer to that distinguishing question for the answer they were thinking of. +The current node will then be replaced with the distinguishing question, and the guessed answer \& the real answer will become child nodes of this node, placed appropriately on the right or left according +to the user's instructions. +\\\\ +Finally, after the \verb|gameplay()| method has completed execution, the user will be presented with the options to play again, quit, or save the tree to a file. +If they choose play again, the infinite loop simply repeats, and they are presented with the \verb|loadTree()| operations again. +If they choose to quit, the program will exit with code \verb|0|. +If they choose to save the tree to a file, the \verb|storeTree()| method will be called. +This method prompts the user to enter a filename to which the serialized tree should be saved. +The serialized object is then written to this file, overwriting any data that was already in that file, if it existed. + +\section{Code} +\lstinputlisting[language=Java, breaklines=true, title={GuessingGame.java}]{../code/GuessingGame.java} + +\newpage +\section{Testing} +The first thing to be tested is just basic functionality of the game. +The screenshot below shows basic testing with valid \& invalid input, but only with animals known to the game. +Invalid input should just be re-prompted to be entered. +\begin{figure}[h] + \centering \includegraphics[width=0.7\textwidth]{./images/first.png} + \caption{Basic Testing of the Game with the In-Built Tree} +\end{figure} + +The next bit of testing is testing of an animal that the game doesn't know, adding it to the tree, and saving it to a file, as shown in the screenshot below. +\begin{figure}[h] + \centering \includegraphics[width=0.7\textwidth]{./images/saving.png} + \caption{Testing of the Saving a Tree to a File} +\end{figure} + +\newpage +The next bit of testing is testing restoring a binary tree from a file on disk, using the file made above. +\begin{figure}[h] + \centering \includegraphics[width=0.7\textwidth]{./images/restore.png} + \caption{Testing of the Restoring a Tree from a File} +\end{figure} + +Testing trying to load a tree from a non-existent file on disk. This should loop until a valid input is given. +\begin{figure}[h] + \centering \includegraphics[width=0.7\textwidth]{./images/invalidtree.png} + \caption{Testing Trying to Load a Non-Existent Tree File from Disk} +\end{figure} + +Testing trying to load a normal text file as a binary tree file. +Should throw an error and exit gracefully. +\begin{figure}[h] + \centering \includegraphics[width=0.7\textwidth]{./images/faketree.png} + \caption{Testing Trying to Load a Non-Binary Tree File from Disk} +\end{figure} + + +\end{document} diff --git a/second/semester2/CT2109/Assignments/Assignment-05/latex/head.tex b/second/semester2/CT2109/Assignments/Assignment-05/latex/head.tex new file mode 100644 index 00000000..6c0a207a --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-05/latex/head.tex @@ -0,0 +1,49 @@ +\addtolength{\hoffset}{-2.25cm} +\addtolength{\textwidth}{4.5cm} +\addtolength{\voffset}{-3.25cm} +\addtolength{\textheight}{5cm} +\setlength{\parskip}{0pt} +\setlength{\parindent}{0in} + +%---------------------------------------------------------------------------------------- +% PACKAGES AND OTHER DOCUMENT CONFIGURATIONS +%---------------------------------------------------------------------------------------- + +\usepackage{blindtext} % Package to generate dummy text +\usepackage{charter} % Use the Charter font +\usepackage[utf8]{inputenc} % Use UTF-8 encoding +\usepackage{microtype} % Slightly tweak font spacing for aesthetics +\usepackage[english]{babel} % Language hyphenation and typographical rules +\usepackage{amsthm, amsmath, amssymb} % Mathematical typesetting +\usepackage{float} % Improved interface for floating objects +\usepackage[final, colorlinks = true, + linkcolor = black, + citecolor = black]{hyperref} % For hyperlinks in the PDF +\usepackage{graphicx, multicol} % Enhanced support for graphics +\usepackage{xcolor} % Driver-independent color extensions +\usepackage{marvosym, wasysym} % More symbols +\usepackage{rotating} % Rotation tools +\usepackage{censor} % Facilities for controlling restricted text +\usepackage{listings, style/lstlisting} % Environment for non-formatted code, !uses style file! +\usepackage{pseudocode} % Environment for specifying algorithms in a natural way +\usepackage{style/avm} % Environment for f-structures, !uses style file! +\usepackage{booktabs} % Enhances quality of tables +\usepackage{tikz-qtree} % Easy tree drawing tool +\tikzset{every tree node/.style={align=center,anchor=north}, + level distance=2cm} % Configuration for q-trees +\usepackage{style/btree} % Configuration for b-trees and b+-trees, !uses style file! +\usepackage[backend=biber,style=numeric, + sorting=nyt]{biblatex} % Complete reimplementation of bibliographic facilities +\addbibresource{ecl.bib} +\usepackage{csquotes} % Context sensitive quotation facilities +\usepackage[yyyymmdd]{datetime} % Uses YEAR-MONTH-DAY format for dates +\renewcommand{\dateseparator}{-} % Sets dateseparator to '-' +\usepackage{fancyhdr} % Headers and footers +\pagestyle{fancy} % All pages have headers and footers +\fancyhead{}\renewcommand{\headrulewidth}{0pt} % Blank out the default header +\fancyfoot[L]{} % Custom footer text +\fancyfoot[C]{} % Custom footer text +\fancyfoot[R]{\thepage} % Custom footer text +\newcommand{\note}[1]{\marginpar{\scriptsize \textcolor{red}{#1}}} % Enables comments in red on margin + +%---------------------------------------------------------------------------------------- diff --git a/second/semester2/CT2109/Assignments/Assignment-05/latex/images/basic.png b/second/semester2/CT2109/Assignments/Assignment-05/latex/images/basic.png new file mode 100644 index 00000000..f21fa267 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-05/latex/images/basic.png differ diff --git a/second/semester2/CT2109/Assignments/Assignment-05/latex/images/faketree.png b/second/semester2/CT2109/Assignments/Assignment-05/latex/images/faketree.png new file mode 100644 index 00000000..f1945181 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-05/latex/images/faketree.png differ diff --git a/second/semester2/CT2109/Assignments/Assignment-05/latex/images/first.png b/second/semester2/CT2109/Assignments/Assignment-05/latex/images/first.png new file mode 100644 index 00000000..9e229a7e Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-05/latex/images/first.png differ diff --git a/second/semester2/CT2109/Assignments/Assignment-05/latex/images/invalidtree.png b/second/semester2/CT2109/Assignments/Assignment-05/latex/images/invalidtree.png new file mode 100644 index 00000000..bd4d1f2e Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-05/latex/images/invalidtree.png differ diff --git a/second/semester2/CT2109/Assignments/Assignment-05/latex/images/restore.png b/second/semester2/CT2109/Assignments/Assignment-05/latex/images/restore.png new file mode 100644 index 00000000..e7d104a4 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-05/latex/images/restore.png differ diff --git a/second/semester2/CT2109/Assignments/Assignment-05/latex/images/saving.png b/second/semester2/CT2109/Assignments/Assignment-05/latex/images/saving.png new file mode 100644 index 00000000..0c3a7b35 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-05/latex/images/saving.png differ diff --git a/second/semester2/CT2109/Assignments/Assignment-05/latex/style/avm.sty b/second/semester2/CT2109/Assignments/Assignment-05/latex/style/avm.sty new file mode 100644 index 00000000..a872483c --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-05/latex/style/avm.sty @@ -0,0 +1,165 @@ +% avm.sty -- for attribute-value matrices -- mar 29, 1992; rev. dec 6, 1993 +% (c) 1992 christopher manning (manning@csli.stanford.edu) -- see avm.doc.tex + +\newif\ifavmactive\newif\ifavmsorted\newif\ifavmlabeled +\newif\ifavmcenter\newif\ifavmbottom +\newif\ifavmbottomright\newif\ifavmtopleft\newif\ifavmtopright + +\newdimen\avmdimen +\newbox\avmboxone\newbox\avmboxthree + +\def\avmoptions#1{\avmactivefalse\avmsortedfalse\avmlabeledfalse + \avmcenterfalse\avmbottomfalse + \avmbottomrightfalse\avmtopleftfalse\avmtoprightfalse + \def\more{#1}\ifx\more\empty\else\avmjoptions#1,\@nil\fi} +\def\avmjoptions#1,#2\@nil{\def\more{#2}\csname avm#1true\endcsname + \ifx\more\empty\else\avmjoptions#2\@nil\fi} + + +\def\avmfont#1{\def\avmjfont{#1}} +\def\avmjfont{} + +\def\avmvalfont#1{\def\avmjvalfont{#1}} +\def\avmjvalfont{} + +\def\avmsortfont#1{\def\avmjsortfont{#1}} +\def\avmjsortfont{} + +\def\avmhskip#1{\def\avmjhskip{#1}} +\def\avmjhskip{1em} + +\def\avmbskip#1{\def\avmjbskip{#1}} +\def\avmjbskip{0em} + +\def\avmvskip#1{\def\avmjvskip{#1}} +\def\avmjvskip{0.385ex}%was .3875 + + +\def\avmjprolog#1{$\mskip-\thinmuskip + \left#1\hskip\avmjbskip\vcenter\bgroup\vskip\avmjvskip + \ialign\bgroup\avmjfont + \strut ##\unskip\hfil + &&\hskip\avmjhskip\avmjvalfont ##\unskip\hfil\cr} +\def\avmjpostlog#1{\crcr\egroup\vskip\avmjvskip\egroup + \hskip\avmjbskip\right#1\mskip-\thinmuskip$\ignorespaces} + + +\def\avmjcatcode{\let\lparen=(\let\rparen=)\catcode`\[=13\catcode`\]=13 + \catcode`\<=13\catcode`\@=13\catcode`\(=13\catcode`\)=13 + \catcode`\>=13\catcode`\|=13} + +{\avmjcatcode % new group: redefine above catcodes as active + +\gdef\specialavm{\avmjcatcode +\def({\avmjprolog\lparen}% +\def){\avmjpostlog\rparen}% +\def<{\avmjprolog\langle}% +\def>{\avmjpostlog\rangle}% +\ifavmsorted +\def[##1{\setbox\avmboxthree=\hbox{\avmjsortfont##1\/}\setbox2=\hbox + \bgroup\avmjprolog\lbrack}% +\def]{\avmjpostlog\rbrack\egroup\avmjsort}% +\else\ifavmlabeled +\def[##1{\def\more{##1}\setbox2=\hbox\bgroup\avmjprolog[}% +\def]{\avmjpostlog]\egroup\node{\more}{\box2}}% +\else +\def[{\avmjprolog\lbrack}% +\def]{\avmjpostlog\rbrack}% +\fi\fi +% +\def\<{$\langle$}\def\>{$\rangle$}% +\def\({\lparen}\def\){\rparen}% +\def\[{\lbrack}\def\]{\rbrack}% +\def|{$\,\vert\,$}% +\def@##1{\avmbox{##1}}% +} % end defn of \specialavm +} % restore active catcodes + + +\long\def\avm{\begingroup +\ifavmactive\specialavm +\else +\def\({\avmjprolog(}% +\def\){\avmjpostlog)}% +\def\<{\avmjprolog\langle}% +\def\>{\avmjpostlog\rangle}% +% +\ifavmsorted +\def\[##1{\setbox\avmboxthree=\hbox{\avmjsortfont##1\/}\setbox + 2=\hbox\bgroup\avmjprolog[}% +\def\]{\avmjpostlog]\egroup\avmjsort}% +\else\ifavmlabeled +\def\[##1{\def\more{##1}\setbox2=\hbox\bgroup\avmjprolog[}% +\def\]{\avmjpostlog]\egroup\node{\more}{\box2}}% +\else +\def\[{\avmjprolog[}% +\def\]{\avmjpostlog]}% +\fi\fi +% +\def\|{$\,\vert\,$}% +\def\@##1{\avmbox{##1}}% +\fi % end not active +% +\ifx\LaTeX\undefined\def\\{\cr}% running under TeX +\else \def\\{\@tabularcr}% Leverage off LaTeX's \\*[dimen] options +\fi +\def\!{\node}% +\long\def\avmjsort{\dimen2=\ht2\advance\dimen2 by -.25\baselineskip + \global\dimen\avmdimen=\wd\avmboxthree + \ifavmtopleft \raise\dimen2\llap{\box\avmboxthree}\box2% + \else\ifavmtopright \box2\raise\dimen2\box\avmboxthree% + \else\ifavmbottomright \box2\lower\dimen2\box\avmboxthree% + \else \lower\dimen2\llap{\box\avmboxthree}\box2% + \fi\fi\fi}% +\long\def\sort##1##2{\setbox2=\hbox{##2}\setbox + \avmboxthree=\hbox{\avmjsortfont##1\/}\dimen2=\ht2 + \advance\dimen2 by -.25\baselineskip + \ifavmtopleft \raise\dimen2\box\avmboxthree\box2% + \else\ifavmtopright \box2\raise\dimen2\box\avmboxthree% + \else\ifavmbottomright \box2\lower\dimen2\box\avmboxthree% + \else \lower\dimen2\box\avmboxthree\box2% + \fi\fi\fi}% +\long\def\osort##1##2{\setbox2=\hbox{##2}\setbox + \avmboxthree=\hbox{\avmjsortfont ##1\/}\avmjsort}% +\def\avml{\avmjprolog.}% +\def\avmr{\avmjpostlog.}% +\def\avmb##1{\node{##1}{\lbrack\;\rbrack}}% +\def\avmd##1{\node{##1}{---}}% +\def\q##1{\ifx ##1\{$\lbrace$\else + \ifx ##1\}$\rbrace$\else + \ifx ##1<$\langle$\else + \ifx ##1>$\rangle$\fi \fi \fi \fi}% +\def\{{\avmjprolog\lbrace}% +\def\}{\avmjpostlog\rbrace}% +\def\;{\hskip\avmjhskip}% +\def\avmspan##1{\multispan2\strut ##1\expandafter\hfil}% +\avmjfont +\openup\avmjvskip +\setbox\avmboxone=\hbox\bgroup\ignorespaces +} % end defn of \avm + + +\def\endavm{\egroup\ifvmode\leavevmode\fi % this if is useful! + \ifavmsorted\null\hskip\dimen\avmdimen\fi + \ifavmcenter + \box\avmboxone + \else \ifavmbottom + \lower.575\baselineskip\hbox{\vbox{\box\avmboxone\null}}% + \else +% the next bit is ripped off from Emma's \evnup in lingmacros.sty + \dimen2=\ht\avmboxone\advance\dimen2 by -.725\baselineskip + \lower\dimen2\box\avmboxone +\fi \fi \endgroup} + + +% based on TeXbook exercise 21.3 +\def\avmbox#1{\setbox2=\hbox{$\scriptstyle #1$}\lower.2ex\vbox{\hrule + \hbox{\vrule\kern1.25pt + \vbox{\kern1.25pt\box2\kern1.25pt}\kern1.25pt\vrule}\hrule}} + +% ============ COSTOM CONFIGURATION ============= +\avmfont{\sc} +\avmoptions{sorted,active} +\avmvalfont{\rm} +\avmsortfont{\scriptsize\it} +% =============================================== \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-05/latex/style/btree.sty b/second/semester2/CT2109/Assignments/Assignment-05/latex/style/btree.sty new file mode 100644 index 00000000..edec4533 --- /dev/null +++ b/second/semester2/CT2109/Assignments/Assignment-05/latex/style/btree.sty @@ -0,0 +1,131 @@ +%% Last Modified: Thu Oct 18 18:26:25 2007. + +\NeedsTeXFormat{LaTeX2e} +\ProvidesPackage{style/btree} +\typeout{Document Style `weiw_BTree - Support drawing B+-Tree (ver 0.999)} + +\RequirePackage{tikz} +\RequirePackage{ifthen} + +% use libraries +\usetikzlibrary{arrows,shapes,decorations,matrix} + + +%% global declaration +\tikzstyle{btreeptr} = [draw, semithick, minimum height=2em] +\tikzstyle{btreeval} = [draw, semithick, minimum size=2em] +\tikzstyle{btreevale} = [draw,semithick, minimum size=2em] +\tikzstyle{btlink} = [draw, semithick, ->, >=triangle 45] + +%% macro +%% helper macros +\newcommand{\suppressemptystr}[1]{% leave blank for entries in leaf nodes + \ifthenelse{\equal{#1}{}}% + {% + \relax% + }% + % Else + {% + #1\textsuperscript{*}% + }% +}% + +\newcommand{\xyshift}[3]{% help to place the nodes + \begin{scope}[xshift=#1, yshift=#2] + #3 + \end{scope}% +} + +%% Common btree macros +\newcommand{\btreelink}[2]{% #1: src node; #2: dest node; + \draw[btlink] ([yshift=3pt] #1.south) -- (#2-b.north); +} + +\newcommand{\btreelinknorth}[2]{% #1: src node; #2: dest node; + \draw[btlink] ([yshift=3pt] #1.south) -- (#2.north); +} + +\newcommand{\btreetriangle}[2]{% #1: node name; #2 text inside + \node[anchor=north, regular polygon, regular polygon sides=3, draw] (#1) {#2}; +} + +%%====================================================================== +%% btree with capacity = 4 +\newcommand{\btreeinodefour}[5]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \& \node[btreeval] (#1-c) {#4}; \& + \node[btreeptr] (#1-4) {\vphantom{1}}; \& \node[btreeval] (#1-d) {#5}; \& + \node[btreeptr] (#1-5) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodefour}[5]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \& + \node[btreevale] (#1-c) {\suppressemptystr{#4}}; \& + \node[btreevale] (#1-d) {\suppressemptystr{#5}}; \\ + }; +} + +%%====================================================================== +%% btree with capacity = 3 +\newcommand{\btreeinodethree}[4]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \& \node[btreeval] (#1-c) {#4}; \& + \node[btreeptr] (#1-4) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodethree}[4]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \& + \node[btreevale] (#1-c) {\suppressemptystr{#4}}; \\ + }; +} + +%%====================================================================== +%% btree with capacity = 2 +\newcommand{\btreeinodetwo}[4]{% + \matrix [ampersand replacement=\&] (#1) + { + \node[btreeptr] (#1-1) {\vphantom{1}}; \& \node[btreeval] (#1-a) {#2}; \& + \node[btreeptr] (#1-2) {\vphantom{1}}; \& \node[btreeval] (#1-b) {#3}; \& + \node[btreeptr] (#1-3) {\vphantom{1}}; \\ + }; +} +\newcommand{\btreelnodetwo}[3]{% + \matrix [ampersand replacement=\&, outer sep=0pt, matrix anchor=north] (#1) + { + \node[btreevale] (#1-a) {\suppressemptystr{#2}}; \& + \node[btreevale] (#1-b) {\suppressemptystr{#3}}; \\ + }; +} +%%====================================================================== + + + + +%% simple example +% \begin{center} +% \scalebox{0.7}{ +% \begin{tikzpicture} +% % +% \btreeinodefour{root}{13}{17}{24}{30}; +% \xyshift{-40mm}{-20mm}{\btreelnodefour{n1}{2}{3}{5}{7}} +% \xyshift{-0mm}{-20mm}{\btreelnodefour{n2}{14}{16}{}{}} +% \xyshift{40mm}{-20mm}{\btreelnodefour{n3}{19}{20}{22}{}} +% \xyshift{80mm}{-20mm}{\btreelnodefour{n4}{24}{27}{29}{}} +% \xyshift{120mm}{-20mm}{\btreelnodefour{n5}{33}{34}{38}{39}} +% % +% \foreach \x in {1,2,...,5} { \btreelink{root-\x}{n\x} } +% \end{tikzpicture} +% } +% \end{center} \ No newline at end of file diff --git a/second/semester2/CT2109/Assignments/Assignment-05/latex/style/image.png b/second/semester2/CT2109/Assignments/Assignment-05/latex/style/image.png new file mode 100644 index 00000000..a76881b5 Binary files /dev/null and b/second/semester2/CT2109/Assignments/Assignment-05/latex/style/image.png differ diff --git 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professional-quality tables +\usepackage{amsfonts} % blackboard math symbols +\usepackage{nicefrac} % compact symbols for 1/2, etc. +\usepackage{microtype} % microtypography +\usepackage{lipsum} % Can be removed after putting your text content +\usepackage{graphicx} +\graphicspath{ {./images/} } +\usepackage{natbib} +\usepackage{doi} +\setcitestyle{aysep={,}} +\usepackage{array} + +\usepackage{listings} + +\usepackage{xcolor} +\definecolor{codegreen}{rgb}{0,0.6,0} +\definecolor{codegray}{rgb}{0.5,0.5,0.5} +\definecolor{codeorange}{rgb}{1,0.49,0} +\definecolor{backcolour}{rgb}{0.95,0.95,0.96} + +\lstdefinestyle{mystyle}{ + backgroundcolor=\color{backcolour}, + commentstyle=\color{codegray}, + keywordstyle=\color{codeorange}, + numberstyle=\tiny\color{codegray}, + stringstyle=\color{codegreen}, + basicstyle=\ttfamily\footnotesize, + breakatwhitespace=false, + breaklines=true, + captionpos=b, + keepspaces=true, + numbers=left, + numbersep=5pt, + showspaces=false, + showstringspaces=false, + showtabs=false, + tabsize=2, + xleftmargin=10pt, +} + +\lstset{style=mystyle} + + +\title{CT2109 - Object Oriented Programming: Data Structures \& Algorithms} + +\author{Andrew Hayes\\ +\AND +\AND +\AND +\AND +\AND + 2BCT\\ +\AND + University of Galway\\ +} + +% Uncomment to remove the date +% \date{February 2022} + +% Uncomment to override the `A preprint' in the header +\renewcommand{\headeright}{Object Oriented Programming: Data Structures \& Algorithms} +\renewcommand{\undertitle}{Object Oriented Programming: Data Structures \& Algorithms} +\renewcommand{\shorttitle}{} + +%%% Add PDF metadata to help others organize their library +%%% Once the PDF is generated, you can check the metadata with +%%% $ pdfinfo template.pdf +% \hypersetup{ +% pdftitle={A template for the arxiv style}, +% pdfsubject={q-bio.NC, q-bio.QM}, +% pdfauthor={David S.~Hippocampus, Elias D.~Striatum}, +% pdfkeywords={First keyword, Second keyword, More}, +% } + +\begin{document} +\maketitle + +\newpage +\tableofcontents +\thispagestyle{empty} +\setcounter{page}{1} + +\newpage +\section{Abstract Data Types} +An \textbf{Abstract Data Type (ADT)} is an abstract model of a data structure that specifies the data stored \& oeprations that may be performed on the data. +An ADT specifies \textit{what} each operation does, but not \textit{how}. +In object-oriented languages such as Java, this naturally corresponds to an \textbf{interface definition}. +An ADT is \textit{realised} as a concrete data structure. +In Java, this is a class that \textbf{implements} the interface. + +\begin{center} + \includegraphics[width=0.3\textwidth]{adt.png} +\end{center} + +\textbf{Composite ADTs} are used manage \textit{collections} of data, e.g., Arrays, Lists, Stacks, Queues, Hash Tables, etc. + +\subsection{Stacks \& Queues} +\textbf{Stacks} \& \textbf{Queues} are linearly ordered ADTs for list-structured data. + +\subsubsection{Stacks} +A \textbf{Stack} is a last in, first out (LIFO) data structure. +No sort order is assumed. +Items can only enter or leave via the \textit{top} of the stack. +Items can be \textbf{pushed} \& \textbf{popped} to add \& remove. +Example applications of a stack include processing nested structures or the ``undo'' operation in an editor. +Objects stored in a stack are a \textit{finite sequence} of elements of the \textbf{same type}. + +Stacks have few operations. +For a stack \verb|s|, node \verb|n|, \& boolean value \verb|b|: +\begin{itemize} + \item \verb|s.push(n)| - Place item \verb|n| on top of the stack. + \item \verb|s.pop()| $\rightarrow$ \verb|n| - Remove top item from the stack \& return it. + \item \verb|s.top| $\rightarrow$ \verb|n| - Examine the top item on the stack without removing it. + \item \verb|s.isEmpty()| $\rightarrow$ \verb|b| - Returns \verb|b = true| if the stack is empty. + \item \verb|s.isFull()| $\rightarrow$ \verb|b = true| if the stack is full (relevant if storage is limited). +\end{itemize} + +Java has a built-in stack interface from \verb|java.util.Stack|. +However, we will look at making our own for the sake of learning. +Our stack implementation may look something like this: +\begin{lstlisting}[language=java] +public interface Stack { + public void push(Object n); + public Oject pop(); + public Object top(); + public boolean isEmpty(); + public boolean isFull(); +\end{lstlisting} + +Other stack operations include \verb|size()| \& \verb|makeEmpty()|. +We could implement this stack using an array, linked list, or other storage type. + +\subsubsection{Queues} +A \textbf{Queue} is a first in, first out (FIFO) data structure. +No sort order is assumed. +Items enter at the rear of the queue, and leave at the front of the queue. +Items can be \textbf{enqueued} \& \textbf{dequeued} to add \& remove them from the queue. +Example applications of a queue include ensuring ``fair treatment'' to each of a list of pending tasks (first come, first served) +or simulation: modelling \& analysis of real-world problems. +Objects stored in a queue are a finite sequence of elements of the same type. +The item at the front of the queue has been in the queue the longest, while the item at the rear has entered the queue most recently. + +Queues have few operations. +For a queue \verb|q|, element \verb|e|, \& boolean value \verb|b|: +\begin{itemize} + \item \verb|q.enqueue(e)| - Place \verb|e| at the rear of \verb|q|, assuming there is space. + \item \verb|q.dequeue()| $\rightarrow$ \verb|e| - Remove fron item \verb|e| from \verb|q| and return it. + \item \verb|q.front()| $\rightarrow$ \verb|e| - Returns front element \verb|e| without removing it. + \item \verb|q.isEmpty()| $\rightarrow$ \verb|b| - Returns \verb|b = true| if the queue is empty. + \item \verb|q.isFull()| $\rightarrow$ \verb|b| - Returns \verb|b = true| if the queue is full. +\end{itemize} + +With an array implementation of a queue, items must be ``shuffled'' towards the front after a \textit{dequeue}. +Note that with an array implementation, once \verb|rear| becomes equal to $N-1$, no further items can be enqueued (array space limitation). + +\subsection{Linked Lists} +A \textbf{Linked List} is an abstract data type which stores an arbitrary-length list of data objects as a sequence of \textit{nodes}. +Each node consists of data and has a \textbf{link} to the next node. +Each node, excepting the last, is links to a \textbf{successor node}. + +\begin{center} + \includegraphics[width=0.6\textwidth]{ll.png} +\end{center} + +Characteristics of Linked Lists: +\begin{itemize} + \item \textbf{Self-referential} structure type - Every node has a pointer to a node of the same type. + \item Very useful for \textbf{dynamically} growing/shrinking lists of data. + \item Compared to arryas, drastically reduces the effort required to add/remove items from the middle of the list. + \item Solves the potential problem of \textbf{overflow} that arrays have. + \item \textbf{Sequential access} - It is \textbf{inefficient} to retrieve an element at an arbitrary position, relative to an array. +\end{itemize} + +\subsubsection{Implementation of Linked Lists} +We define a \textbf{Node} class, with members \textbf{data} (whichever variables are required) \& \textbf{next} (reference to another Node object). + +Each node occcurrence is linked to a succeeding occurence by way of the member \textbf{next}. +If \verb|next| is \verb|null|, then there is no item after this node in the list (termed the \textbf{tail} node). +The starting point for the list is the \textbf{head} node. +We can trace from the head node to any other node. + +\begin{center} + \includegraphics[width=0.3\textwidth]{node.png} +\end{center} + +\begin{lstlisting}[language=Java] +public class Node { + // instance variables + private Object element; + private Node next; + + // creates node with null refs to its element \& next node + public Node() { + this(null, null); + } + + // creates node with the given element & next node + public Node(Object e, Node n) { + element = e; + next = n; + } + + // accessor methods + public Object getElement() { + return element; + } + public Node getNext() { + return next; + } + + // mutator methods + public void setElement(Object newElem) { + element = newElem; + } + public void setNext(Node newNext) { + next = newNext; + } +} +\end{lstlisting} + +Generally, we don't create nodes manually, rather we just supply element data to a method which keeps track of the current position in the list. + +Typical methods in a Linked List ADT include: +\begin{itemize} + \item \verb|long size()| - Returns the size of the list. + \item \verb|boolean isEmpty()| - Returns \verb|true| if the list is empty, \verb|false| otherwise. + \item \verb|Object getCurr()| - Returns the element at the current position. + \item \verb|boolean gotoHead()| - Sets the current position to \verb|head|, returning \verb|true| if successful. + \item \verb|boolean gotoNext()| - Moves to the next position, returning \verb|true| if successful. + \item \verb|void insertNext(Object el| - Creates a new node after the current node. + \item \verb|void deleteNext()| - Removes the node after the current node. + \item \verb|void insertHead(Object el)| - Creates a new node at the head. + \item \verb|void deleteHead()| - Removes the head node. +\end{itemize} + +\subsubsection{Singly Linked List Class} +A \textbf{singly linked list} is one in which each node links to a \textit{single} other node. + +The Singly Linked List Class should store the head of the list \& the current position. +For efficiency, it also keeps track of the current size of the list (alternatively, we could just count its nodes when needed). + +\begin{lstlisting}[language=Java] +public class SLinkedList { + protected Node head; // head node of the list + protected Node curr; // current position in list + protected long size; // number of nodes in the list + + // default constructor which creates an empty list + public SLinkedList() { + curr = head = null; + size = 0; + } + + // insert, remove, & search methods go here +} +\end{lstlisting} + +\section{Algorithm Analysis} +All algorithms take CPU \textbf{time} \& \textbf{memory} space. +Often, we can make tradeoffs, choosing algorithm variants that either user more memory, or more CPU. +If the memory space requirements of an algorithm are large, the program may use disk sawp space rather than RAM, which is much slower. +If the memory requirements are too large, then the program cannot run. +Often, we identify the algorithms that don't require ``too much'' spaace, and then choose the one with the lowest +CPU requirements. +The purpose of algorithm analysis is comparing the time \& space requirements of various algorithms. + +``Why not just run the algorithm and measure the time \& space used?'' - +While this is sometimes done when theoretical analysis is difficult, it is better to be able to evaluate +algorithms ``on paper'' without first having to implement, debug, and test them all. +It's important to have a measure that's \textit{independent} of particular computer configurations and to be able to +compare algorithms reliably, without being influenced by variations in implementation. +We want to understand how an algorithm will perform on large problems and identify ``hot spots'' to give our attention +to when developing \& optimising programs. + +\subsection{Algorithm Analysis Basics} +\textbf{Theoretical Analysis} uses a high-level \textit{pseudocode} description of the algorithm instead of a real +implementation, and characterises run-time as a function of input size $n$. +This function specifies the \textbf{order of growth} of rate of runtime as $n$ increases. +Theoretical analysis takes into account all possible inputs and evaluates speed independent of hardware or software. + +\subsubsection{Counting Primitive Operations} +The basic approach is deriving the function for the \textbf{count of the primitive operations}. +The primitive operations are the individual steps performed by a program. +We assume that each step takes the same amount of time and examine any terms that control repetition. + +Example: Algorithm to find the largest element of an array. +We count the maximum number of operations as function of array size $n$. +\begin{lstlisting} +Algorithm arrayMax(A, n) // Number of Operations + currentMax = A[0] // 2 + for i = 1 to n -1 do // 2n + if A[i] > currentMax then // 2(n-1) + currentMax = A[i] // 2(n-1) + {increment coutner i} // 2(n-1) + return currentMax // 1 + // Total: 8n-3 +\end{lstlisting} + +We could consider the \textbf{average}, \textbf{best}, or \textbf{worst} case. +Usually, we analyse the worst case, as we want our algorithms to work well even in bad cases. +The average case is quite important too, if different from the worst case. +These counts are the basis of (big) O notation. + +\subsection{O Notation} +The basic approach to \textbf{O Notation} involves deriving an expression for the count of basic operations (as +discussed). +We focus on the \textit{dominant term}, and ignore constants. +E.g., $O(5n^2 + 1000n -3) \rightarrow O(n^2)$. +Since contants \& low-order terms are eventually dropped, we can disregard them when counting primitive operations. + +O Notation is used for \textbf{asymptotic analysis of complexity} - the trend in the algorithms runtime as $n$ +gets large. +We look at the \textbf{order of magnitude} of the number of actions, independent of computer/compiler/etc. + +Note: We specifically care about the \textbf{tightest} upper bound. +Technically speaking, an algorithm that is $O(n^2)$ is also $O(n^3)$, but the former is more informative. +The function specified in O notation is the \textbf{upper bound} on the behaviour of the algorithm being analysed. +This can be the best/average/worst case behaviour. + +Example: Let $f(n) = 6n^4 -2n^3 + 5$. +Apply the following rules: +\begin{itemize} + \item If $f(n)$ is a sum of several terms, then only the one with largest rate of growth is kept. + \item If $f(n)$ is a product of several factors, any constants that do not depend on $n$ are ommitted. +\end{itemize} +Thus, we say that $f(n)$ has a ``big-oh'' of $(n^4)$. +We can write $f(n)$ is $O(n^4)$. + +\subsubsection{Important Functions Used in O Notation} +Functions commonly used include: +\begin{itemize} + \item \textbf{Constant:} $O(1)$. + \item \textbf{Logarithmic:} $O($log$n)$. + \item \textbf{Linear:} $O(n)$. + \item \textbf{n-Log-n:} $O(n$log$n)$. + \item \textbf{Quadratic:} $O(n^2)$. + \item \textbf{Cubic:} $O(n^3)$. + \item \textbf{Exponential:} $(1^n)$. +\end{itemize} + +Notes: +\begin{itemize} + \item By convention, all logs are base 2 unless otherwise stated. + \item Two algorithms having the same complexity doesn't been that they are exactly the same, it means that their + running times will be \textit{proportional}. +\end{itemize} + + +\begin{center} + \includegraphics[width=0.8\textwidth]{comparisonoffunctions1.png} +\end{center} + +\begin{center} + \includegraphics[width=0.8\textwidth]{comparisonoffunctions2.png} +\end{center} + +\subsubsection{Efficiency \& O Notation} +\begin{itemize} + \item \textbf{Constant:} Most efficient possible, but only applicable to simple jobs. + \item \textbf{Logarithmic, Linear, \& n-Log-n:} If an algorithm is described as ``efficient'', this usually means + $O($log$n)$ or better. + \item \textbf{Quadratic \& Cubic:} Not very efficient, but polynomial algorithms are usually considered ``tractable'' + (acceptable for problems of reasonable size). + \item \textbf{Exponential:} Very inefficient. Problems that (provably) require an algorithm of O greater than + polynomial complexity are called ``\textbf{hard}''. +\end{itemize} + +\subsection{Recursion Review} +Methods can call other methods, but they can also call themselves, either directly, or indirectly, via +another method. +This creates a type of loop called \textbf{recursion}. + +Iteration can be used anywhere that you can use recursion. +Sometimes, recursion can be a more elegant solution, if it reflects the way that the problem is usually thought +about, as we aim to use the most intuitive representation of the problem. +Recursion can make complexity analysis easier in some cases. + +The drawbacks of recursion include: +\begin{itemize} + \item Inefficient use of the function: Large amount of concurrent, deeply nested method calls. + \item If done naively, the number of calls can explode. + \item Depending on the algorithm, we need to take care not to recompute values unnecessarily. +\end{itemize} + +\section{Dynamic Programming} +The basic idea of \textbf{Dynamic Programming} is to solve complex problems by breaking them into simpler +sub-problems. +When a solution to a sub-problem is found, store it (``memo-ize'') so that it can be re-used without +recomputing it. +Combine the solutions to the sub-problems to get the overall solution. + +This is particularly useful when the number of repeating sub-problems grows exponentially with the problem +size. + +In general, dynamic programming takes problems that appear exponential and produces polynomial-time algorithms +for them. +The trade-off in dynamic programming is between \textit{storage} \& \textit{speed}. +Dynamic programming is widely used in heuristic optimisation problems. + +For Dynamic Programming, the problem structure requires three components: +\begin{enumerate} + \item \textbf{Simple sub-problems:} Must be able to break the overall problem into indexed sub-problems + \& sub-sub-problems. + \item \textbf{Sub-problem decomposition:} Optimal/correct solution to the overall problem must be + composed from sub-problems. + \item \textbf{Sub-problem overlap:} So that elements can be re-used. +\end{enumerate} + +The basic steps in the approach to DynProg: +\begin{enumerate} + \item Set up the overall problem as one that is decomposable into overlapping sub-problems that can + be indexed. + \item Solve the sub-problems as they arise and \textbf{store solutions} in a table. + \item Derive the overall solution from the solutions in the table. +\end{enumerate} + +\subsection{More Big Greek Letters} +$O(n$log$n)$ (``Big Oh''): +\begin{itemize} + \item Upper bound on asymptotic complexity. + \item In this case, there is a constant $c_2$ such that $c_2 n$log$n$ is an upper bound on + asymptotic complexity. +\end{itemize} + +$\Omega(n$log$n)$ (``Big Omega''): +\begin{itemize} + \item Specifies a lower bound on asymptotic complexity. + \item In this case, the algorithm has a lower bound of $c_1 n$log$n$. +\end{itemize} + +$\Theta(n$log$n)$ (``Big Theta''): +\begin{itemize} + \item Specifies the upper \& lower bounds. + \item In this case, there exist two constants, $c_1$ \& $c_2$, such that $c_1n$log$n < f(n) < c_2n$log$n$. +\end{itemize} + +Of these, $\Theta()$ makes the strongest claims: It specifies that the rate of growth is no better and no +worse than some level. +Requires additional analysis relative to $O$. + +There are also some others that are common in Mathematics but not in Computer Science: +\begin{itemize} + \item \textbf{Little o:} $o(g(n))$ specifies a function $g(n)$ that grows much faster than the one + that we are analysing. + \item \textbf{Little omega:} $\omega(g(n))$ specifies a function $g(n)$ that grows much slower than + the one that we are analysing. +\end{itemize} + +Don't confuse upper/lower bounds with best/worst case: all cases have bounds. + +\newpage +\subsection{P, NP, \& NP-Complete Problems} +\textbf{P Problems} are those for which there is a \textbf{deterministic} algorithm that solves it in +\textbf{Polynomial Time}. +In other words, the algorithm's complexity is $O(p(n))$ where $p(n)$ is a polynomial function. + +A (trivial) example of a P problem is searching an array of integers for a certain value. + +Problems that can be solved in polynomial time are termed \textbf{tractable}, while worse problems are +termed \textbf{intractable}. + +\textbf{NP Problems (Non-deterministic Polynomial)} are those algorithms which have two repeating steps: +\begin{itemize} + \item Generate a \textit{potential solution}, either randomly or systematically. + \item Verify whether the potential solution is right, and if not, repeat. +\end{itemize} + +If the verification step is \textbf{polynomial}, the algorithm \& associated problem are \textbf{NP}. + +An example of an NP problem is factoring large integers as used in RSA encryption. +Another example of an NP problem is the \textbf{subset problem}: +Given a set of integers, does some non-empty subset of them sum to 0? +There is no polynomial algorithm to solve this problem. +However, verification of a potential solution is polynomial ($O(n)$ (just add up the numbers in the +potential solution)). + +Note that P is a subset of NP. + +\textbf{NP-Complete} problems are those that are ``\textbf{as hard as} all others'' in NP, i.e. algorithms that +are comparable to (``\textbf{polynomially reducible} to'') others in NP but not reducible to P. +If an algorithm is \textbf{polynomially reducible}, there is some polynomial-time transformation that +converts the inputs for Problem $X$ to inputs for Problem $Y$. + +NP-Complete is a complexity class which represents the set of all problems $X$ in NP for which it is +possible to reduce any other NP problem $Y$ to $X$ in polynomial time. +Intuitively, this means that we can solve $Y$ quickly if we know how to solve $X$ quickly. +What makes NP-complete problems inportant is that if a deterministic polynomial time algorithm can be +found to solve one of them, every NP problem is solvable in polynomial time. + +\textbf{NP-Hard} problems are those that are ``\textbf{as hard or harder}'' than all others in NP. +A problem $X$ is Np-Hard if NP-Complete problems are polynomially reducible to it. + +Intuitively, NP-hard problems are problems that are at least as hard as the NP-complete problems. +Note that NP-hard problems do not have to be in NP, and they do not have to be decision problems. +The precise definition here is that ``a problem $X$ is NP-hard, if there is an NP-complete problem $Y$, +such that $Y$ is reducible to $X$ in polynomial time''. +An example of an NP-hard problem is \textit{the halting problem}: Given a program $P$ and input $I$, +will it halt? + +The ``P versus NP'' problem is a major unsolved problem in computer science: +``If the solution to a problem is easy to verify, is the problem also easy to solve?'' or ``whether +every problem whose solution can be \textbf{quickly verified} by a computer can also be \textbf{quickly solved} +by a computer''. +``Quickly'' here means that there exists an algorithm to solve the task that runs in polynomial time. +An answer to the $P = NP$ question would determine whether all problems that can be verified in polynomial time can also be solved in +polynomial time. +If it turned out that $P \neq NP$, then it would mean that there are problems in NP (such as NP-complete problems) that are harder to compute +than to verify. +We already know that $P \subseteq NP$. + +In theoretical computer science, the problems considered for P \& NP are \textbf{decision problems}, i.e. problems that don't produce +numeric results but yes or no answers. + +\begin{center} + \includegraphics[width=0.6\textwidth]{pvsnp.png} +\end{center} + +\begin{itemize} + \item \textbf{P} (Polynomial): Solvable in polynomial time. + \item \textbf{NP} (Non-Deterministic Polynomial): Only \textit{verifiable} in polynomial time. +\end{itemize} + +\section{Searching \& Sorting} +\subsection{Keys \& Values} +Each object to be sorted can be considered to have a \textbf{key} \& a \textbf{value}, e.g. A Student has properties Name, ID, \& grade. + +\subsection{Java Interface: Comparator} +The \verb|Comparator| interface compares two objects to say which should come first. +In Java, any class that implements \verb|java.util.Comparator| interface is only required to implement one method: +\begin{lstlisting}[language=java] +int compare(Object ob1, Object ob2); +\end{lstlisting} + +This returns a negative number if \verb|ob1| is less than \verb|ob2|, a positive number if \verb|ob1| is greater than \verb|ob2|, and \verb|0| if \verb|ob1| is equal to \verb|ob2|. + +\subsection{Java Interface: Comparable} +The \verb|Comparable| interface compares a given object to another to see which object should come first. +The two objects that are being compared must be of a class that implements \verb|java.lang.Comparable|, which has just one method to implement: +\begin{lstlisting}[language=java] +int compareTo(Object other); +\end{lstlisting} + +Standard classes such as \verb|String| implement this. + +\subsection{Insertion Sort} +Consider sorting a bookshelf using \textbf{Insertion Sort}: +\begin{enumerate} + \item Remove the next unsorted book. + \item Slide the sorted books to the right one by one until you find the right sport for for the removed book. + \item Insert the book into its new position once it is found. +\end{enumerate} + +\begin{algorithm} + \caption{Insertion Sort Pseudocode} + \begin{algorithmic} + \Require{$A[0 \dots N-1]$} \Comment{Unsorted Array} + \Ensure{$A[0 \dots N-1]$} \Comment{Sorted Array} + + \Procedure{Insertion Sort}{$A[0 \dots N-1]$} + \For{$ToSort \gets 1$ to $N-1$ Step 1} + \State $Index = ToSort -1$ + \State $ToSortEl = A[ToSort]$ + \\ + \While{$Index \geq First$ AND $A[Index] > ToSortEl$} + \State $A[Index+1] \gets A[Index]$ \Comment{Shuffle elements to the right} + \State $Index \gets Index - 1$ + \EndWhile + \\ + \State $A[Index+1] = ToSortEl$ \Comment{Insert the element to sort in its appropriate place} + \EndFor + + \State \textbf{return} $A[]$ \Comment{Return the sorted array} + \EndProcedure + \end{algorithmic} +\end{algorithm} + +The worst case efficiency of Insertion Sort is $O(n^2)$. +The best case efficiency of Insertion Sort is $O(n)$. +If the array is closer to sorted order, the algorithm does less work, and the operation is more efficient. +This leads to a related algorithm: Shell Sort. + +\newpage +\subsection{Shell Sort} +\textbf{Shell Sort} is more efficient than Selection Sort or Insertion Sort. +It works by comparing distant items first, and works its way down to nearby items. +The interval is called the \textbf{gap}. +The gap begins at one half of the length of the list and is successively halved until each item has been compared with its neighbour. + +Insertion Sort only tests elements in \textit{adjacent} locations - it might take several steps to get to the final location. +Insertion Sort is more efficient if an array is partially sorted. +By making larger jumps, Shell Sort makes the array become ``more sorted'' more quickly. + +\begin{algorithm} + \caption{Shell Sort Pseudocode} + \begin{algorithmic} + \Require{$A[0 \dots N-1]$} \Comment{Unsorted Array} + \Ensure{$A[0 \dots N-1]$} \Comment{Sorted Array} + + \Procedure{Shell Sort}{$A[0 \dots N-1]$} + \State $Gap \gets floor(\frac{Gap}{2})$ \Comment{Round to the nearest odd number, as it's best with an odd-sized gap} + \\ + \While{$Gap \geq 1$} + \For{$ToSort \gets 1$ to $N-1$ Step 1} + \State $Index = ToSort -1$ + \State $ToSortEl = A[ToSort]$ + \\ + \While{$Index \geq First$ AND $A[Index] > ToSortEl$} + \State $A[Index+1] \gets A[Index]$ \Comment{Shuffle elements to the right} + \State $Index \gets Index - 1$ + \EndWhile + \\ + \State $A[Index+1] = ToSortEl$ \Comment{Insert the element to sort in its appropriate place} + \EndFor + \\ + \State $Gap \gets floor(\frac{Gap}{2})$ + \EndWhile + \EndProcedure + \end{algorithmic} +\end{algorithm} + +The worst-case complexity of Shell Sort is $O(n^2)$. +However, this is because the gap is sometimes even which results in sub-arrays that include all the elements of an array that was already sorted. +To avoid this, we round the gap up to the nearest odd number which gives us a worst-case complexity of $O(n^{1.5})$. +Other gap sequences can improve performance a little more, but this is beyond the scope of this topic. + +\subsection{Quick Sort} +\textbf{Quick Sort} is a divide-and-conquer algorithm. +\begin{enumerate} + \item Firstly, it partitions the array into two sub-arrays that are \textbf{partially sorted}. + \item Then, it picks a \textbf{pivot value}, and re-arranges the elements such that all elements less than or equal to the pivot value are on the left of the pivot, and all elements that are greater than + it are on the right. + \item The array is now divided into sub-arrays and a pivot value. + \item This procedure is then repeated \textbf{recursively} for each sub-array, to further sort each of them. + \item When the algorithm has reached the level of a sub-array with just one element, that sub-array is sorted. + All sub-arrays are sorted relative to each other, so the whole array is sorted when all the sub-arrays are. +\end{enumerate} + +\section{Trees} +The data structures that we looked at previously placed data in linear order, but we sometimes need to organise data into groups \& sub-groups. +This is called \textbf{hierarchical classification}, where data items appear at various levels within the organisation. + +In Computer Science, a tree is an abstract model of a hierarchical structure which consists of nodes with a parent-child relation. +Trees have applications in organisation charts, file systems, programming environments, \& more. +A \textbf{tree} is a set of nodes, connected by edges. +The edges indicate relationships between nodes. + +Nodes are arranged in \textbf{levels}, which indicate the node's position in the hierarchy. +Nodes with the same parent node are called \textbf{siblings}. +The only node with no parent is the \textbf{root} node. +All other nodes have one parent each. +A node with no child nodes is called a \textbf{leaf} node or an \textbf{external} node. +All other nodes are referred to as \textbf{internal} nodes. + +A node is reached from the root by a \textbf{path}. +The length of a path is the number of edges that compose it. +This is also referred to as the depth of the node. +The \textbf{height} of a tree is the number of levels in the tree. +The number of nodes along the longest path is equal to the maximum depth plus one. +Note that we talk about the depth of a node, but the height of a tree. + +The ancestors of a node include its parent, grandparent, great-grandparent, etc. +The descendants of a node include its children, grandchildren, great-grandchildren, etc. +A \textbf{subtree} of a node is a tree that has that node as its root, including the node, all its descendants, and the arcs connecting them. + +\subsection{Binary Trees} +A \textbf{binary tree} is one in which each internal node has at most two children (\& exactly two if it is a ``\textbf{proper}'' binary tree). +The children of a node are an \textbf{ordered pair}. +We refer to the children of an internal node as the left child \& the right child. +Non-binary trees are termed general trees. + +An alternative (recursive) definition for binary trees is a tree that is either just single node or a tree whose root has an ordered pair of children, each of which is a binary tree. + +A \textbf{full binary tree} is one in which is a proper binary tree, and in which all the leaves are on the same level. +This is only achievable for certain numbers of nodes. +A \textbf{complete binary tree} is a binary tree which is full to the penultimate level and the leaves on the last level are filled frmo left to right. +This is achievable for any number of nodes. + +The height of either a complete or full binary tree with $n$ nodes is log$_2(n+1)$. + +\begin{center} + \includegraphics[width=0.7\textwidth]{binarytrees.png} +\end{center} + +\subsection{Generics in Java} +The \verb|< >| operators relate to the concept of \textbf{generics}. +Generics are used to specify a specific type parameter for a generic collection class. +This saves us from having to cast objects in methods such as \verb|add()|, \verb|set|, \& \verb|remove|. +This is a big advantage, as type checking is now done at compile time. +Without generics, compile-time type-checking is impossible, since we don't have a type specification for the list. +Other object-oriented programming languages have similar concepts, such as templates in C++. + +\verb|ArrayList|s are part of the Java Collections framework, a standard library of pre-built data structures. +The underlying storage of an \verb|ArrayList| is an array. +The \verb|ArrayList| class looks after resizing it as required. +\verb|ArrayLists| can be used with or without generics notation. + +\begin{lstlisting}[language=Java] +// ArrayList code without generics: +ArrayList words = new ArrayList(); // holds objects +words.add("hello"); +String a = (String) words.get(0); // return type of get() is object, so must cast to String + +// ArrayList parameterised to specifically hold Strings +ArrayList words = new ArrayList(); +words.add("hello"); +String a = words.get(0); // no cast needed +\end{lstlisting} + +Creating a Generics collection: +\begin{lstlisting}[language=Java] + +public interface List { + void add(E x); + Iterator iterator(); +} +public interface Iterator { + E next(); + boolean hasNext(); +} +\end{lstlisting} + +\section{Search Trees} +A \textbf{Search Tree} organises its data so that searching it is efficient. + +\subsection{Binary Search Trees} +A \textbf{Binary Search Tree (BST)} is a binary tree with nodes that contain \verb|Comparable| objects. +A node's data is greater than the data in the left subtree and less than the data in the right subtree. +Usually, no duplicates are allowed. + +An \textbf{in-order} traversal of a BST will visit all nodes in ascending order. + +BSTs are not uniquely structured - The structure of a BST depends on what node is chosen as the root of the tree and the order in which all the other nodes are added. + +\bibliographystyle{unsrtnat} +\bibliography{references} +\end{document} diff --git a/second/semester2/CT2109/Notes/CT2109-Notes.toc b/second/semester2/CT2109/Notes/CT2109-Notes.toc new file mode 100644 index 00000000..51d062ba --- /dev/null +++ b/second/semester2/CT2109/Notes/CT2109-Notes.toc @@ -0,0 +1,29 @@ +\contentsline {section}{\numberline {1}Abstract Data Types}{2}{section.1}% +\contentsline {subsection}{\numberline {1.1}Stacks \& Queues}{2}{subsection.1.1}% +\contentsline {subsubsection}{\numberline {1.1.1}Stacks}{2}{subsubsection.1.1.1}% +\contentsline {subsubsection}{\numberline {1.1.2}Queues}{2}{subsubsection.1.1.2}% +\contentsline {subsection}{\numberline {1.2}Linked Lists}{3}{subsection.1.2}% +\contentsline {subsubsection}{\numberline {1.2.1}Implementation of Linked Lists}{3}{subsubsection.1.2.1}% +\contentsline {subsubsection}{\numberline {1.2.2}Singly Linked List Class}{4}{subsubsection.1.2.2}% +\contentsline {section}{\numberline {2}Algorithm Analysis}{5}{section.2}% +\contentsline {subsection}{\numberline {2.1}Algorithm Analysis Basics}{5}{subsection.2.1}% +\contentsline {subsubsection}{\numberline {2.1.1}Counting Primitive Operations}{5}{subsubsection.2.1.1}% +\contentsline {subsection}{\numberline {2.2}O Notation}{5}{subsection.2.2}% +\contentsline {subsubsection}{\numberline {2.2.1}Important Functions Used in O Notation}{6}{subsubsection.2.2.1}% +\contentsline {subsubsection}{\numberline {2.2.2}Efficiency \& O Notation}{7}{subsubsection.2.2.2}% +\contentsline {subsection}{\numberline {2.3}Recursion Review}{7}{subsection.2.3}% +\contentsline {section}{\numberline {3}Dynamic Programming}{7}{section.3}% +\contentsline {subsection}{\numberline {3.1}More Big Greek Letters}{8}{subsection.3.1}% +\contentsline {subsection}{\numberline {3.2}P, NP, \& NP-Complete Problems}{9}{subsection.3.2}% +\contentsline {section}{\numberline {4}Searching \& Sorting}{10}{section.4}% +\contentsline {subsection}{\numberline {4.1}Keys \& Values}{10}{subsection.4.1}% +\contentsline {subsection}{\numberline {4.2}Java Interface: Comparator}{10}{subsection.4.2}% +\contentsline {subsection}{\numberline {4.3}Java Interface: Comparable}{10}{subsection.4.3}% +\contentsline {subsection}{\numberline {4.4}Insertion Sort}{10}{subsection.4.4}% +\contentsline {subsection}{\numberline {4.5}Shell Sort}{12}{subsection.4.5}% +\contentsline {subsection}{\numberline {4.6}Quick Sort}{12}{subsection.4.6}% +\contentsline {section}{\numberline {5}Trees}{13}{section.5}% +\contentsline {subsection}{\numberline {5.1}Binary Trees}{13}{subsection.5.1}% +\contentsline {subsection}{\numberline {5.2}Generics in Java}{13}{subsection.5.2}% +\contentsline {section}{\numberline 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\@startsection{subsubsection}{3}{\z@}% + {-1.5ex \@plus -0.5ex \@minus -0.2ex}% + { 0.5ex \@plus 0.2ex}% + {\normalsize\bf\raggedright}% +} +\providecommand{\paragraph}{} +\renewcommand{\paragraph}{% + \@startsection{paragraph}{4}{\z@}% + {1.5ex \@plus 0.5ex \@minus 0.2ex}% + {-1em}% + {\normalsize\bf}% +} +\providecommand{\subparagraph}{} +\renewcommand{\subparagraph}{% + \@startsection{subparagraph}{5}{\z@}% + {1.5ex \@plus 0.5ex \@minus 0.2ex}% + {-1em}% + {\normalsize\bf}% +} +\providecommand{\subsubsubsection}{} +\renewcommand{\subsubsubsection}{% + \vskip5pt{\noindent\normalsize\rm\raggedright}% +} + +% float placement +\renewcommand{\topfraction }{0.85} +\renewcommand{\bottomfraction }{0.4} +\renewcommand{\textfraction }{0.1} +\renewcommand{\floatpagefraction}{0.7} + +\newlength{\@abovecaptionskip}\setlength{\@abovecaptionskip}{7\p@} +\newlength{\@belowcaptionskip}\setlength{\@belowcaptionskip}{\z@} + +\setlength{\abovecaptionskip}{\@abovecaptionskip} +\setlength{\belowcaptionskip}{\@belowcaptionskip} + +% swap above/below caption skip lengths for tables +\renewenvironment{table} + {\setlength{\abovecaptionskip}{\@belowcaptionskip}% + \setlength{\belowcaptionskip}{\@abovecaptionskip}% + \@float{table}} + {\end@float} + +% footnote formatting +\setlength{\footnotesep }{6.65\p@} +\setlength{\skip\footins}{9\p@ \@plus 4\p@ \@minus 2\p@} +\renewcommand{\footnoterule}{\kern-3\p@ \hrule width 12pc \kern 2.6\p@} +\setcounter{footnote}{0} + +% paragraph formatting +\setlength{\parindent}{\z@} +\setlength{\parskip }{5.5\p@} + +% list formatting +\setlength{\topsep }{4\p@ \@plus 1\p@ \@minus 2\p@} +\setlength{\partopsep }{1\p@ \@plus 0.5\p@ \@minus 0.5\p@} +\setlength{\itemsep }{2\p@ \@plus 1\p@ \@minus 0.5\p@} +\setlength{\parsep }{2\p@ \@plus 1\p@ \@minus 0.5\p@} +\setlength{\leftmargin }{3pc} +\setlength{\leftmargini }{\leftmargin} +\setlength{\leftmarginii }{2em} +\setlength{\leftmarginiii}{1.5em} +\setlength{\leftmarginiv }{1.0em} +\setlength{\leftmarginv }{0.5em} +\def\@listi {\leftmargin\leftmargini} +\def\@listii {\leftmargin\leftmarginii + \labelwidth\leftmarginii + \advance\labelwidth-\labelsep + \topsep 2\p@ \@plus 1\p@ \@minus 0.5\p@ + \parsep 1\p@ \@plus 0.5\p@ \@minus 0.5\p@ + \itemsep \parsep} +\def\@listiii{\leftmargin\leftmarginiii + \labelwidth\leftmarginiii + \advance\labelwidth-\labelsep + \topsep 1\p@ \@plus 0.5\p@ \@minus 0.5\p@ + \parsep \z@ + \partopsep 0.5\p@ \@plus 0\p@ \@minus 0.5\p@ + \itemsep \topsep} +\def\@listiv {\leftmargin\leftmarginiv + \labelwidth\leftmarginiv + \advance\labelwidth-\labelsep} +\def\@listv {\leftmargin\leftmarginv + \labelwidth\leftmarginv + \advance\labelwidth-\labelsep} +\def\@listvi {\leftmargin\leftmarginvi + \labelwidth\leftmarginvi + \advance\labelwidth-\labelsep} + +% create title +\providecommand{\maketitle}{} +\renewcommand{\maketitle}{% + \par + \begingroup + \renewcommand{\thefootnote}{\fnsymbol{footnote}} + % for perfect author name centering + \renewcommand{\@makefnmark}{\hbox to \z@{$^{\@thefnmark}$\hss}} + % The footnote-mark was overlapping the footnote-text, + % added the following to fix this problem (MK) + \long\def\@makefntext##1{% + \parindent 1em\noindent + \hbox to 1.8em{\hss $\m@th ^{\@thefnmark}$}##1 + } + \thispagestyle{empty} + \@maketitle + \@thanks + %\@notice + \endgroup + \let\maketitle\relax + \let\thanks\relax +} + +% rules for title box at top of first page +\newcommand{\@toptitlebar}{ + \hrule height 2\p@ + \vskip 0.25in + \vskip -\parskip% +} +\newcommand{\@bottomtitlebar}{ + \vskip 0.29in + \vskip -\parskip + \hrule height 2\p@ + \vskip 0.09in% +} + +% create title (includes both anonymized and non-anonymized versions) +\providecommand{\@maketitle}{} +\renewcommand{\@maketitle}{% + \vbox{% + \hsize\textwidth + \linewidth\hsize + \vskip 0.8in + \@toptitlebar + \centering + {\LARGE\sc \@title\par} + \@bottomtitlebar + \vskip 0.5in + \textsc{\Large\undertitle}\\ + \vskip 2.0in + \def\And{% + \end{tabular}\hfil\linebreak[0]\hfil% + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\ignorespaces% + } + \def\AND{% + \end{tabular}\hfil\linebreak[4]\hfil% + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\large\ignorespaces% + } + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\Large\@author\end{tabular}% + \vskip 1.0in \@minus 0.1in \center{\large\@date} \vskip 0.2in + } +} + +% add conference notice to bottom of first page +\newcommand{\ftype@noticebox}{8} +\newcommand{\@notice}{% + % give a bit of extra room back to authors on first page + \enlargethispage{2\baselineskip}% + \@float{noticebox}[b]% + \footnotesize\@noticestring% + \end@float% +} + +% abstract styling +\renewenvironment{abstract} +{ + \centerline + {\large \bfseries \scshape Abstract} + \begin{quote} +} +{ + \end{quote} +} + +\endinput + diff --git a/second/semester2/CT2109/Slides/CT2109-Slides-07.pdf b/second/semester2/CT2109/Slides/CT2109-Slides-07.pdf new file mode 100644 index 00000000..d0eb977b Binary files /dev/null and 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index 00000000..71407eaa Binary files /dev/null and b/second/semester2/CT216/Train_Enthusiasts_CT216_Project.pdf differ diff --git a/second/semester2/CT248/Assignments/Assignment-01/certificate.pdf b/second/semester2/CT248/Assignments/Assignment-01/certificate.pdf new file mode 100644 index 00000000..b183cad4 Binary files /dev/null and b/second/semester2/CT248/Assignments/Assignment-01/certificate.pdf differ diff --git a/second/semester2/CT248/Assignments/Assignment-02/01 Assignment.pdf b/second/semester2/CT248/Assignments/Assignment-02/01 Assignment.pdf new file mode 100644 index 00000000..b9788d00 Binary files /dev/null and b/second/semester2/CT248/Assignments/Assignment-02/01 Assignment.pdf differ diff --git a/second/semester2/CT248/Assignments/Assignment-02/Lab1.m b/second/semester2/CT248/Assignments/Assignment-02/Lab1.m new file mode 100644 index 00000000..6e495996 --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-02/Lab1.m @@ -0,0 +1,8 @@ +clear; +d = roll_2_dice(10000, 100); +[freq, prop] = tabulate_2_dice(d); + +disp(freq); +disp(prop); + + diff --git a/second/semester2/CT248/Assignments/Assignment-02/roll_2_dice.m b/second/semester2/CT248/Assignments/Assignment-02/roll_2_dice.m new file mode 100644 index 00000000..dd62ad2b --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-02/roll_2_dice.m @@ -0,0 +1,7 @@ +function d = roll_2_dice(N, seed) + % function to roll 2 dice and return the combination of each device row in a vector + rng(seed); + + % generating two 1 * N vectors of 6 simulated dice rolls and adding them + d = randi([1 6], 1, N) + randi([1 6], 1, N); +end diff --git a/second/semester2/CT248/Assignments/Assignment-02/tabulate_2_dice.m b/second/semester2/CT248/Assignments/Assignment-02/tabulate_2_dice.m new file mode 100644 index 00000000..670bbd57 --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-02/tabulate_2_dice.m @@ -0,0 +1,14 @@ +function [freq, prop] = tabulate_2_dice(d) + % function to calculate the frequency and proportion of each outcome based on a set of dice throws + freq = zeros(1,12); + % looping through all the values in d and incrementing the corresponding counter in freq + for i = d + freq(i) = freq(i) + 1; + end + + % looping through each index in prop and calculating the proportion pertaining to that index + prop = zeros(1,12); + for i = [1:12] + prop(i) = freq(i) / sum(freq); % proportion of i is the frequency of i divided by the sum of all freqs + end +end diff --git a/second/semester2/CT248/Assignments/Assignment-03/02 Assignment.pdf b/second/semester2/CT248/Assignments/Assignment-03/02 Assignment.pdf new file mode 100644 index 00000000..954d009b Binary files /dev/null and b/second/semester2/CT248/Assignments/Assignment-03/02 Assignment.pdf differ diff --git a/second/semester2/CT248/Assignments/Assignment-03/mystack.m b/second/semester2/CT248/Assignments/Assignment-03/mystack.m new file mode 100644 index 00000000..ca9db937 --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-03/mystack.m @@ -0,0 +1,28 @@ +function[push, pop, peek] = mystack() +% function to return handles to the subfunction push, pop, & peek + push = @push; + pop = @pop; + peek = @peek; +end + +function [stack] = push(stack, value) +% function to push a value onto the stack at location 1 and return the +% stack + stack = [value; stack]; +end + +function [stack] = pop(stack) +% function to pop the value at location 1 off the stack and return the +% stack + stack(1) = []; +end + +function [value] = peek(stack) +% function to return the top value from the stack (arrau location 1) +% returns NaN if there is no value at location 1 + if isempty(stack) + value = NaN; + else + value = stack(1); + end +end \ No newline at end of file diff --git a/second/semester2/CT248/Assignments/Assignment-03/test.m b/second/semester2/CT248/Assignments/Assignment-03/test.m new file mode 100644 index 00000000..2a69a8c2 --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-03/test.m @@ -0,0 +1,13 @@ +% test script as specified in assignment spec +[push, pop, peek] = mystack(); + +stack = [] +stack = push(stack, 100) + +stack = push(stack, 200) + +peek(stack) + +stack = pop(stack) + +peek(stack) \ No newline at end of file diff --git a/second/semester2/CT248/Assignments/Assignment-04/03 Assignment.docx b/second/semester2/CT248/Assignments/Assignment-04/03 Assignment.docx new file mode 100644 index 00000000..62597dbd Binary files /dev/null and b/second/semester2/CT248/Assignments/Assignment-04/03 Assignment.docx differ diff --git a/second/semester2/CT248/Assignments/Assignment-04/03 Assignment.pdf b/second/semester2/CT248/Assignments/Assignment-04/03 Assignment.pdf new file mode 100644 index 00000000..73c847f8 Binary files /dev/null and b/second/semester2/CT248/Assignments/Assignment-04/03 Assignment.pdf differ diff --git a/second/semester2/CT248/Assignments/Assignment-04/Engineering_Building.jpg b/second/semester2/CT248/Assignments/Assignment-04/Engineering_Building.jpg new file mode 100644 index 00000000..032deaa4 Binary files /dev/null and b/second/semester2/CT248/Assignments/Assignment-04/Engineering_Building.jpg differ diff --git a/second/semester2/CT248/Assignments/Assignment-04/Figure_1.png b/second/semester2/CT248/Assignments/Assignment-04/Figure_1.png new file mode 100644 index 00000000..da7354a0 Binary files /dev/null and b/second/semester2/CT248/Assignments/Assignment-04/Figure_1.png differ diff --git a/second/semester2/CT248/Assignments/Assignment-04/imageprocessing.m b/second/semester2/CT248/Assignments/Assignment-04/imageprocessing.m new file mode 100644 index 00000000..c24f3f9b --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-04/imageprocessing.m @@ -0,0 +1,15 @@ +clear; +eng1 = imread("Engineering-Building.jpg"); +eng1_gs = pic2grayscale(eng1); +eng1_gs_inv = transform_pic(eng1_gs); +eng1_gs_bin_50 = transform_threshold(eng1_gs,50); +eng1_gs_bin_75 = transform_threshold(eng1_gs,75); +eng1_gs_bin_100 = transform_threshold(eng1_gs,100); + +% plotting images +subplot(3,2,1),imshow(eng1),title("Original Picture"); +subplot(3,2,2),imshow(eng1_gs),title("Greyscale"); +subplot(3,2,3),imshow(eng1_gs_inv),title("Inverted Greyscale"); +subplot(3,2,4),imshow(eng1_gs_bin_50),title("Binary Threshold = 50"); +subplot(3,2,5),imshow(eng1_gs_bin_75),title("Binary Threshold = 75"); +subplot(3,2,6),imshow(eng1_gs_bin_100),title("Binary Threshold = 100"); diff --git a/second/semester2/CT248/Assignments/Assignment-04/pic2grayscale.m b/second/semester2/CT248/Assignments/Assignment-04/pic2grayscale.m new file mode 100644 index 00000000..a725b9e8 --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-04/pic2grayscale.m @@ -0,0 +1,17 @@ +function [returnImg] = pic2grayscale(img) +% which uses the NTSC Standard transformation to convert RGB to grayscale. + %0.2989 * R + 0.5870 * G + 0.1140 * B + + % img to be returned + returnImg = zeros(size(img,1), size(img, 2)); + + % looping through the RGB image and calculating the grayscale value for + % each pixel in the corresponding returnImg + for i = 1:size(img,1) + for j = 1:size(img,2) + returnImg(i,j) = (0.2989 * img(i,j,1)) + (0.5870 * img(i,j,2)) + (0.1140 * img(i,j,3)); + end + end + + returnImg = uint8(returnImg); +end \ No newline at end of file diff --git a/second/semester2/CT248/Assignments/Assignment-04/transform_pic.m b/second/semester2/CT248/Assignments/Assignment-04/transform_pic.m new file mode 100644 index 00000000..bf3cdaaa --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-04/transform_pic.m @@ -0,0 +1,5 @@ +function [img] = transform_pic(img) +% function which converts a 255 colour code to 0, 254 to 1, etc, and 0 to +% 255. + img = 255 - img; +end \ No newline at end of file diff --git a/second/semester2/CT248/Assignments/Assignment-04/transform_threshold.m b/second/semester2/CT248/Assignments/Assignment-04/transform_threshold.m new file mode 100644 index 00000000..d3043ac9 --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-04/transform_threshold.m @@ -0,0 +1,18 @@ +function [img] = transform_threshold(img, threshold) +% function which converts the picture to binary format where any value +% above the threshold is white (1), and all values equal to or below are +% black (0). + + % looping through each element in the matrix, and setting it to 1 if + % above the threshold, 0 otherwise + for i = 1:numel(img) + if img(i) > threshold + img(i) = 1; + else + img(i) = 0; + end + end + + % casting the matrix to type logical once each element is either 1 or 0 + img = logical(img); +end \ No newline at end of file diff --git a/second/semester2/CT248/Assignments/Assignment-06/shark_tuna_model.m b/second/semester2/CT248/Assignments/Assignment-06/shark_tuna_model.m new file mode 100644 index 00000000..affa333e --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-06/shark_tuna_model.m @@ -0,0 +1,14 @@ +function dydt = shark_tuna_model(t,x) +% function to model the prey-predator population relations over time of +% sharks & tuna + + global k; % mentioning global variable x so that it can be used here + + dydt = [0; 0]; + + % dS/dt = k1 S T - k2 S + dydt(1) = k(1)*x(1)*x(2)-k(2)*x(1); + + % dT/dt = k3 T -k4 S T + dydt(2) = k(3)*x(2) - k(4) * x(1) * x(2); +end \ No newline at end of file diff --git a/second/semester2/CT248/Assignments/Assignment-06/test.m b/second/semester2/CT248/Assignments/Assignment-06/test.m new file mode 100644 index 00000000..3bfa298b --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-06/test.m @@ -0,0 +1,12 @@ +clear; + +global k; + +k = [0.015 0.7 0.5 0.01].'; + +[t,y] = ode45(@shark_tuna_model, [0 50], [100 100]); +plot(t,y); +title("SHARK-TUNA POPULATION DYNAMICS LIMIT CYCLING"); +xlabel("TIME"); +ylabel("POPULATION NUMBERS"); +legend("SHARKS", "TUNA", "Location", "northwest"); diff --git a/second/semester2/CT248/Assignments/Assignment-07/05 Assignment.pdf b/second/semester2/CT248/Assignments/Assignment-07/05 Assignment.pdf new file mode 100644 index 00000000..ebcd6660 Binary files /dev/null and b/second/semester2/CT248/Assignments/Assignment-07/05 Assignment.pdf differ diff --git a/second/semester2/CT248/Assignments/Assignment-07/SIR.m b/second/semester2/CT248/Assignments/Assignment-07/SIR.m new file mode 100644 index 00000000..a4c2a814 --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-07/SIR.m @@ -0,0 +1,15 @@ +function dydt = SIR(t, x, c, i, alpha, beta, gamma) + dydt = [0; 0; 0; 0; 0]; + S = x(1); + I = x(2); + R = x(3); + H = x(4); + RH = x(5); + N = S + I + R + H + RH; + + dydt(1) = (-c*S) * (I/N) * i; + dydt(2) = (c*S) * (I/N) * i - (alpha*I); + dydt(3) = (alpha*I) - (beta*R); + dydt(4) = (beta*R) - (gamma*H); + dydt(5) = gamma*H; +end diff --git a/second/semester2/CT248/Assignments/Assignment-07/test.m b/second/semester2/CT248/Assignments/Assignment-07/test.m new file mode 100644 index 00000000..87142f57 --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-07/test.m @@ -0,0 +1,40 @@ +clear; + +i = 0.125; +alpha = 0.25; +beta = 0.02; +gamma = 0.10; + +time_vec = 0:.25:100; +init_vec = [9999 1 0 0 0]; +c = linspace(3, 8, 20); + +infected_stock = zeros(length(time_vec), 20); +in_hospital = zeros(length(time_vec), 20); + +for loopcounter = 1:20 + [t,y] = ode45(@SIR, ... + time_vec, ... + init_vec, ... + odeset, ... + c(loopcounter), ... + i, ... + alpha, ... + beta, ... + gamma); + + infected_stock(:, loopcounter) = y(:,2); + in_hospital(:,loopcounter) = y(:,4); +end + +subplot(3, 1, 1); +plot(time_vec, infected_stock); +title("Infected Stock"); + +subplot(3, 1, 2); +plot(time_vec, infected_stock); +title("People in Hospital"); + +subplot(3,1,3); +scatter(c, max(in_hospital)); +title("Contacts v Peak in Hospital"); diff --git a/second/semester2/CT248/Assignments/Assignment-08/06 Assignment.pdf b/second/semester2/CT248/Assignments/Assignment-08/06 Assignment.pdf new file mode 100644 index 00000000..f13bc7c1 Binary files /dev/null and b/second/semester2/CT248/Assignments/Assignment-08/06 Assignment.pdf differ diff --git a/second/semester2/CT248/Assignments/Assignment-08/Flights.csv b/second/semester2/CT248/Assignments/Assignment-08/Flights.csv new file mode 100644 index 00000000..5b0621f9 --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-08/Flights.csv @@ -0,0 +1,336777 @@ +YearDay,Month,Day,origin,dest,hour,minute,dep_delay,distance +1,1,1,EWR,IAH,5,15,2,1400 +1,1,1,LGA,IAH,5,29,4,1416 +1,1,1,JFK,MIA,5,40,2,1089 +1,1,1,JFK,BQN,5,45,-1,1576 +1,1,1,LGA,ATL,6,0,-6,762 +1,1,1,EWR,ORD,5,58,-4,719 +1,1,1,EWR,FLL,6,0,-5,1065 +1,1,1,LGA,IAD,6,0,-3,229 +1,1,1,JFK,MCO,6,0,-3,944 +1,1,1,LGA,ORD,6,0,-2,733 +1,1,1,JFK,PBI,6,0,-2,1028 +1,1,1,JFK,TPA,6,0,-2,1005 +1,1,1,JFK,LAX,6,0,-2,2475 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+273,9,30,LGA,BGR,22,5,-2,378 +273,9,30,LGA,BNA,21,40,27,764 +273,9,30,EWR,STL,20,59,72,872 +273,9,30,JFK,PWM,22,45,-14,273 +273,9,30,EWR,SFO,21,13,80,2565 +273,9,30,JFK,MCO,20,1,154,944 +273,9,30,JFK,BTV,22,45,-8,266 +273,9,30,JFK,SYR,22,45,-5,209 +273,9,30,JFK,BUF,22,50,-10,301 +273,9,30,JFK,ROC,22,46,-5,264 +273,9,30,JFK,BOS,22,55,12,187 +273,9,30,JFK,PSE,23,59,-10,1617 +273,9,30,LGA,BNA,18,42,NA,764 +273,9,30,JFK,DCA,14,55,NA,213 +273,9,30,LGA,SYR,22,0,NA,198 +273,9,30,LGA,BNA,12,10,NA,764 +273,9,30,LGA,CLE,11,59,NA,419 +273,9,30,LGA,RDU,8,40,NA,431 \ No newline at end of file diff --git a/second/semester2/CT248/Assignments/Assignment-08/six.m b/second/semester2/CT248/Assignments/Assignment-08/six.m new file mode 100644 index 00000000..885ba086 --- /dev/null +++ b/second/semester2/CT248/Assignments/Assignment-08/six.m @@ -0,0 +1,76 @@ +clear; + +% 1. read in the file and confirm the number of records (336,766) +flights = readtable("Flights.csv"); +numRecords = height(flights) + +% 2. convert "origin" & "dest" to strings (from cell type) +flights.origin = string(flights.origin); +flights.dest = string(flights.dest); + + +% 3. check the number of missing values for the departure time +numMissing = sum(ismissing(flights.dep_delay)) + +% 4. filter all the missing values from the departure delay and check the +% difference in the number of records +flights_clean = flights(~isnan(flights.dep_delay), :); +numRecordsClean = height(flights_clean); +disp("Number of records in flights = " + numRecords); +disp("Number of records in flights_clean = " + numRecordsClean); + +% 5. confirm the difference in records between the two tables +diff = numRecords - numRecordsClean + +% 6. Remove any departure delay greater than 2 hours (120 minutes). This +% leaves 318,798 observations. +flights_final = flights_clean(flights_clean.dep_delay <= 120, :); +height(flights_final) + +% 7. Generate the following table and graph, showing the average delay per +% month. +months = unique(flights_final.Month); + +res1 = table(months, zeros(size(months)), 'VariableNames', {'Month', 'AvgDelayMonth'}); +for i = months(1):length(months) + month_delays = flights_final.dep_delay(flights_final.Month == i); + avg_delay_month = mean(month_delays); + res1.AvgDelayMonth(i) = avg_delay_month; +end +res1 +plot(res1.Month, res1.AvgDelayMonth, '-o'); +title('Average Delay by Month'); + +% 8. Generate the following table and graph, showing the average delay per +% hour. +hours = transpose(1:24); + +res2 = table(hours, zeros(size(hours)), 'VariableNames', {'Hour', 'AvgDelayHour'}); +for i = hours(1):length(hours) + hour_delays = flights_final.dep_delay(flights_final.hour == i); + avg_delay_hour = mean(hour_delays); + res2.AvgDelayHour(i) = avg_delay_hour; +end +res2 = res2(~isnan(res2.AvgDelayHour),:); +res2 +plot(res2.Hour, res2.AvgDelayHour, '-o'); +title('Average Delay by Hour of the Day'); + +% 9. Generate the following table and graph, showing the average delay by +% month and by origin +res3 = renamevars(removevars(groupsummary(flights_final,["Month","origin"],"mean","dep_delay"),'GroupCount'), 'mean_dep_delay', 'AvrDelayMonthOrigin') + +jfk = res3(res3.origin == 'JFK', {'Month', 'AvrDelayMonthOrigin'}); +subplot(3,1,1); +plot(jfk.Month, jfk.AvrDelayMonthOrigin, '-o'); +title("JFK"); + +ewr = res3(res3.origin == 'EWR', {'Month', 'AvrDelayMonthOrigin'}); +subplot(3,1,2); +plot(ewr.Month, ewr.AvrDelayMonthOrigin, '-o'); +title("EWR"); + +lga = res3(res3.origin == 'LGA', {'Month', 'AvrDelayMonthOrigin'}); +subplot(3,1,3); +plot(lga.Month, lga.AvrDelayMonthOrigin, '-o'); +title("LGA"); diff --git a/second/semester2/CT248/Assignments/LabTest-1/clean_grades.m b/second/semester2/CT248/Assignments/LabTest-1/clean_grades.m new file mode 100644 index 00000000..e3259597 --- /dev/null +++ b/second/semester2/CT248/Assignments/LabTest-1/clean_grades.m @@ -0,0 +1,9 @@ +function [grades] = clean_grades(grades) + for i = 1:(size(grades,1)*size(grades,2)) + if grades(i) < 0 + grades(i) = 0; + elseif grades(i) > 100 + grades(i) = 0; + end + end +end \ No newline at end of file diff --git a/second/semester2/CT248/Assignments/LabTest-1/create_grades.m b/second/semester2/CT248/Assignments/LabTest-1/create_grades.m new file mode 100644 index 00000000..e560b325 --- /dev/null +++ b/second/semester2/CT248/Assignments/LabTest-1/create_grades.m @@ -0,0 +1,4 @@ +function [grades] = create_grades(rows, columns, min, max, seed) + rng(seed); + grades = randi([min max], rows, columns); +end \ No newline at end of file diff --git a/second/semester2/CT248/Assignments/LabTest-1/fill_estimates.m b/second/semester2/CT248/Assignments/LabTest-1/fill_estimates.m new file mode 100644 index 00000000..5f57eb04 --- /dev/null +++ b/second/semester2/CT248/Assignments/LabTest-1/fill_estimates.m @@ -0,0 +1,25 @@ +function [grades] = fill_estimates(grades) + for i = 1:size(grades, 2) + % making copy + copy = grades(:, i); + nonzero = 0; % count of nonzero elements to calculate avg + sum = 0; % sum of nonzero elements + + % looping through copy and counting number of nonzero elements + for j = 1:size(copy,1) + if copy(j) ~= 0 + nonzero = nonzero + 1; + sum = sum + copy(j); + end + end + + avg = round(sum / nonzero); + + % looping through original and replacing any nonzero with average + for j = 1:size(copy,1) + if grades(j,i) == 0 + grades(j,i) = avg; + end + end + end +end \ No newline at end of file diff --git a/second/semester2/CT248/Assignments/LabTest-1/test.m b/second/semester2/CT248/Assignments/LabTest-1/test.m new file mode 100644 index 00000000..74c36c18 --- /dev/null +++ b/second/semester2/CT248/Assignments/LabTest-1/test.m @@ -0,0 +1,4 @@ +clear; +gr1 = create_grades(10,5,-10,110,100); +gr2 = clean_grades(gr1); +gr3 = fill_estimates(gr2); \ No newline at end of file diff --git a/second/semester2/CT248/Assignments/LabTest-2/08 Lab Exam.pdf b/second/semester2/CT248/Assignments/LabTest-2/08 Lab Exam.pdf new file mode 100644 index 00000000..4eaa2b59 Binary files /dev/null and b/second/semester2/CT248/Assignments/LabTest-2/08 Lab Exam.pdf differ diff --git a/second/semester2/CT248/Assignments/LabTest-2/test.m b/second/semester2/CT248/Assignments/LabTest-2/test.m new file mode 100644 index 00000000..24fa2195 --- /dev/null +++ b/second/semester2/CT248/Assignments/LabTest-2/test.m @@ -0,0 +1,22 @@ +clear; + +r = 0.2; % random val for r +K = linspace(1000, 1000000, 50); +time_vec = linspace(0, 100, 50); +P = 100; % random val for P +population = zeros(length(time_vec), 50); + +% implementing the model as an anonymous function +dpdt = @(t,P,r,K) r*P * (1 - (P/K)); + +for loopcounter = 1:50 + [t,y] = ode45(dpdt, ... + time_vec, ... + P, ... + odeset, ... + r, ... + K(loopcounter)); + population(:, loopcounter) = y(:,1); +end + +plot(time_vec, population); diff --git a/second/semester2/CT248/Lecture Files/Lecture04.m b/second/semester2/CT248/Lecture Files/Lecture04.m new file mode 100644 index 00000000..7aa2b9ee --- /dev/null +++ b/second/semester2/CT248/Lecture Files/Lecture04.m @@ -0,0 +1,26 @@ +clear; + +A = [1 2 ; 3 4 ]; +B = eye(2); + +% MATRIX multiplication +C = A*B; + +% element-wise multiplication +D = A.* B; + +rng(100); +rolls = randi([1 6], 1, 10); + +% checking each element of rolls one by one to see which ones are greater than 3 +gt3 = rolls > 3; +rolls(gt3); % filtering rolls to find the values > 3 + +A ~= 3; + +% remove duplicates from rolls +unique(rolls) + +for i = rolls + disp(i) + end diff --git a/second/semester2/CT248/Notes/CT248-Notes.pdf b/second/semester2/CT248/Notes/CT248-Notes.pdf new file mode 100644 index 00000000..f1eaf042 Binary files /dev/null and b/second/semester2/CT248/Notes/CT248-Notes.pdf differ diff --git a/second/semester2/CT248/Notes/CT248-Notes.tex b/second/semester2/CT248/Notes/CT248-Notes.tex new file mode 100644 index 00000000..0b17c4cb --- /dev/null +++ b/second/semester2/CT248/Notes/CT248-Notes.tex @@ -0,0 +1,598 @@ +\documentclass[11pt]{article} +\usepackage{report} + +\usepackage[utf8]{inputenc} % allow utf-8 input +\usepackage[T1]{fontenc} % use 8-bit T1 fonts +\usepackage[colorlinks=true, linkcolor=black, citecolor=blue, urlcolor=blue]{hyperref} % hyperlinks +\usepackage{url} % simple URL typesetting +\usepackage{booktabs} % professional-quality tables +\usepackage{amsfonts} % blackboard math symbols +\usepackage{nicefrac} % compact symbols for 1/2, etc. +\usepackage{microtype} % microtypography +\usepackage{lipsum} % Can be removed after putting your text content +\usepackage{graphicx} +\graphicspath{ {./images/} } +\usepackage{natbib} +\usepackage{doi} +\setcitestyle{aysep={,}} +\usepackage{array} +\usepackage{listings} + +\usepackage{xcolor} +\definecolor{codegreen}{rgb}{0,0.6,0} +\definecolor{codegray}{rgb}{0.5,0.5,0.5} +\definecolor{codeorange}{rgb}{1,0.49,0} +\definecolor{backcolour}{rgb}{0.95,0.95,0.96} + +\lstdefinestyle{mystyle}{ + backgroundcolor=\color{backcolour}, + commentstyle=\color{codegray}, + keywordstyle=\color{codeorange}, + numberstyle=\tiny\color{codegray}, + stringstyle=\color{codegreen}, + basicstyle=\ttfamily\footnotesize, + breakatwhitespace=false, + breaklines=true, + captionpos=b, + keepspaces=true, + numbers=left, + numbersep=5pt, + showspaces=false, + showstringspaces=false, + showtabs=false, + tabsize=2, + xleftmargin=10pt, +} + +\lstset{style=mystyle} +\title{CT248 - Introduction to Modelling} + +\author{Andrew Hayes\\ +\AND +Student ID: 21321503\\ +\AND +\AND +\AND +\AND + 1BCT1\\ +\AND + NUI Galway\\ +} + +% Uncomment to remove the date +\date{February 2022} + +% Uncomment to override the `A preprint' in the header +\renewcommand{\headeright}{Introduction to Modelling} +\renewcommand{\undertitle}{Introduction to Modelling} +\renewcommand{\shorttitle}{} + +%%% Add PDF metadata to help others organize their library +%%% Once the PDF is generated, you can check the metadata with +%%% $ pdfinfo template.pdf +% \hypersetup{ +% pdftitle={A template for the arxiv style}, +% pdfsubject={q-bio.NC, q-bio.QM}, +% pdfauthor={David S.~Hippocampus, Elias D.~Striatum}, +% pdfkeywords={First keyword, Second keyword, More}, +% } + +\begin{document} +\maketitle + +\newpage +\tableofcontents +\thispagestyle{empty} + + +\newpage +\setcounter{page}{1} +\section{Lecture 01 - MATLAB Overview} +\textbf{MATLAB} (MAtrix LABoratory) is a powerful technical computing system for handling scientific \& engineering +calculations, designed to make \textbf{matrix computations} particularly easy. +It is a \textbf{high-level language} with an interactive development environment. +MATLAB is \textbf{loosely typed}. + +MATLAB is used for: +\begin{itemize} + \item Numerical computation. + \item Data analysis \& visualisation. + \item Algorithm development \& programming. + \item Application development \& deployment. +\end{itemize} + +\subsection{Variables} +A variable name in MATLAB may consist only of letters a-z, digits 0-9, and the underscore (\_) and they must start +with a letter. +A variable name may not exceed 63 characters. +MATLAB is case-sensitive, including command \& function names. + +The use of a semi-colon \verb|;| at the end of a variable initialisation prevents the value from being displayed. + +\verb|carSpeed = 20;| + +\subsubsubsection{The MATLAB Workspace} +All variables created during a session remain in the workspace until they are \textbf{cleared}. +\begin{lstlisting}[language=MATLAB] +clear; +mph = input("Please enter the speed in mph: "); +kph = mph * 1.6; +fprintf("%d mph = %d kph\n",mph,kph); +\end{lstlisting} + +The command \verb|who| lists all the names in the current workspace. +The command \verb|whos| lists the size of each variable. + +Comments can be made in MATLAB using the \verb|%| sign. + +\subsection{Expressions} +An \textbf{expression} is a formula consisting of variables, numbers, operators, \& function names. +Expressions are evaluated when you enter them into the MATLAB prompt. +Note that MATLAB uses the function \verb|ans| to return the last expression that was evaluated but not assigned +to a variable. + +\subsubsection{Statements} +MATLAB \textbf{statements} are frequently of the form \verb|variable = expression|. \\ +E.g.: \verb|s=u*t-g/2*t.^2|. +\\ +This is an example of an \textbf{assignment statement}, with the value of the expression assigned to the +variable on the left-hand side. +A semicolon is at the end to suppress the output. + +Statements that are too long for a line can be extended to several lines with an ellipsis of at least 3 dots \verb|...| +\\ +Statements on the same line can be separated by commas or semicolons. + +\newpage + +\subsection{Input \& Output} +The \verb|input()| statement is used to read in input data. +\begin{lstlisting}[language=MATLAB] +name = input ("Enter your name: "); +\end{lstlisting} + +The \verb|disp()| statement is used to \textbf{display} data. +The general form of the \verb|disp| statement is \verb|disp(variable)|. + +\begin{lstlisting}[language=MATLAB] +>> disp("Hello World!") +>> x = 2; +>> disp(["The answer is ", num2str(x)]) +The answer is 2. +>> disp([2 3 x]) +2.00 3.00 2.00 +\end{lstlisting} + +To display more than one variable, embed the variables into an \textbf{array}. +All components of a MATLAB array must be the same type. + +\begin{lstlisting}[language=MATLAB] +% Script file for converting temperatures from F to C. +% Step 1: Get the input +F = input ("Enter the temperature in degrees F: "); + +% Step 2: Convert to C + C = (F -32) * 5/9; + +% Step 3: Display the result +fprintf("The temperature of %f (F) is %f (C)\n",F,C); +\end{lstlisting} + +\subsection{Arithmetic Operators} +The evaluation of an expression is achieved by means of arithmetic operators. +The arithmetic operations on two scalar constants / variables is shown. +Left division may seem curious, however \textit{matrix} left division has an entirely different meaning. + +\begin{center} +\begin{tabular}{ |c|c|c| } + \hline + \textbf{Operation} & \textbf{Algebraic Form} & \textbf{MATLAB} \\ + \hline + Addition & $ a + b $ & \verb|a + b| \\ + \hline + Subtraction & $ a - b $ & \verb|a - b| \\ + \hline + Multiplication & $ a \times b $ & \verb|a*b| \\ + \hline + Right Division & $ a/b $ & \verb|a/b| \\ + \hline + Left Division & $ b \textbackslash a $ & \verb|b\a| \\ + \hline + Exponent & $ a^b $ & \verb|a^b| \\ + \hline +\end{tabular} +\end{center} + +MATLAB uses PEMDAS as to determine \textbf{precedence}. + +\subsection{Repetition \& Loops - The For Loop} +The \verb|for| statement repeats some statement a specific number of times. +The two basic \verb|for| loop structures are as follows: +\begin{lstlisting}[language=MATLAB] +for index = j:k + statements; +end + +for index = j:m:k + statements; +end +\end{lstlisting} + +\verb|j:k| is a \textit{vector} with elements $j, j+1, j+2, \cdots, k$. +\verb|j:m:k| is a vector with elements $j, j+m, j+2m, \cdots$ such that the final element does not exceed $k$. +\verb|index| must be a variable. Loop statements should be indented. + + +\begin{lstlisting}[language=MATLAB] +for i = 1:5 + disp(i); +end +\end{lstlisting} + +This for loop repeats the \verb|disp()| statement 5 times, starting with \verb|i = 1| and ending with \verb| i = 5|, incrementing by 1 each iteration of the loop. + +For a for loop of the form \verb|for i = a:b|, the number of iterations will be $b - a +1$. + +The following example program takes in $n$ numbers and displays their average. +\begin{lstlisting} +clear; +sum = 0; + +n = input("How many numbers: "); + +for i=1:n + num = input("Please enter a number: "); + sum += num; +end + +avg = sum/n; + +fprintf("The average is %f\n.", avg); +\end{lstlisting} + + +\subsection{Relational Operators} +\textbf{Relational Operators} form a logical expression that is either \textit{true} or \textit{false}. +Relational operators form the basis for decision logic. + +In MATLAB, "true" \& "false" can be represented both lexically (\verb|true|, \verb|false|) and logically (\verb|1|, \verb|0|). +When returning the value of a Boolean expression or variable, MATLAB will use logical true (\verb|1|) \& false (\verb|0|). + +\begin{center} + \includegraphics[width=0.25\textwidth]{truefalse.png} +\end{center} + +\begin{center} +\begin{tabular}{ |c|c| } + \hline + \textbf{Relational Operator} & \textbf{Meaning} \\ + \hline + \verb|<| & Less than \\ + \hline + \verb|<=| & Less than or equal to \\ + \hline + \verb|==| & Equal to \\ + \hline + \verb|~=| & Not equal to \\ + \hline + \verb|>| & Greater than \\ + \hline + \verb|>=| & Greater than or equal to \\ + \hline +\end{tabular} +\end{center} + +\subsubsection{The "If" Statement} +In MATLAB, \verb|if| statements take the general form(s): +\begin{lstlisting}[language=MATLAB] +if condition; statements; end + +if condition + statements +else + statements +end + +if condition + statements +elseif condition + statements +else + statements +end + +\end{lstlisting} + +\begin{lstlisting}[language=MATLAB] +num = input("Enter a number: "); +if num < 0; disp("Negative number"); end +\end{lstlisting} + +\section{Matrices} +In linear algebra, a \textbf{matrix} is a rectangular grid of numbers arranged into \textit{rows} \& \textit{columns}. +An $r \times c$ matrix has $r$ rows \& $c$ columns. +Uppercase letters (e.g., $A$) are usually used to denote variables that are matrices. +$a_{ij}$ denotes the element in $A$ at row $i$ \& column $j$. + +\begin{center} + \includegraphics[width=0.25\textwidth]{matrix.png} +\end{center} + +\subsection{Multiplying a Matrix by a Scalar} +A matrix $A$ can be multiplied by a scalar $k$, resulting in a matric of the same dimensions as $A$. +The multiplication takes place in a straightforward fashion, with each element in the new matrix being the product of $k$ times the corresponding element in $A$. + +\begin{center} + \includegraphics[width=0.5\textwidth]{matrixscalar.png} +\end{center} + +Let matrix $C$ be the $r \times c$ product $AB$ of the $r \times n$ matrix $A$ with the $n \times c$ matrix B. +Each element of $C$, $C_{ij}$, is equal to the vector dot product of row $i$ of $A$ with column $j$ of $B$. + +\begin{center} + \includegraphics[width=0.5\textwidth]{2x2example.png} +\end{center} + +In MATLAB, a matrix is a rectangular object consisting of rows \& columns. +Matrices have comprehensive support with functions \& operators. +Rows can be separated when initialising a matrix using the semicolon \verb|;|. + +\begin{lstlisting} +>>a = [1 2 3; 4 5 6] +a = + 1 2 3 + 4 5 6 + +>>a' +ans= + 1 4 + 2 5 + 3 6 +\end{lstlisting} + + +Individual elements are usually referenced with two subscripts in the form \verb|matrixname(row, column)|. +However, elements can also be referenced using \textit{one} subscript. +In this case, MATLAB will treat the entire vector as a single column. + +\begin{lstlisting}[language=MATLAB] +A=[1 2 3;4 5 6;7 8 9] +A(1,1) +A(1) +A(9) +\end{lstlisting} + +Using the colon \verb|:| operator in place of a subscript denotes all the elements in the corresponding row or column. +\verb|A(3,:)| means ``all the elements in the third row''. +\verb|A(:,3)| means ``all the elements in the third column''. +You can extract subsets of a matrix using something like \verb|A(1:2, 2:3)|. + +\subsubsection{Matrix Functions} +\begin{center} \begin{tabular}{ |c|c| } + \hline + \textbf{Function} & \textbf{Description} \\ + \hline + \verb|eye()| & Identity Matrix \\ + \hline + \verb|linspace()| & Vector with linearly spaced elements \\ + \hline + \verb|ones()| & Matrix of 1s \\ + \hline + \verb|rand()| & Uniformly distributed random numbers \& arrays \\ + \hline + \verb|randn()| & Normally distributed random numbers \& arrays \\ + \hline + \verb|zeros()| & Matrix of 0s. \\ + \hline + \verb|det()| & Determinant \\ + \hline + \verb|eig()| & Eigenvalues \& eigenvectors. \\ + \hline + \verb|expm()| & Matrix exponential \\ + \hline + \verb|inv()| & Matrix inverse \\ + \hline + \verb|trace()| & Sum of diagonal elements \\ + \hline + \verb|{}\| and \verb|/| & Linear equation solutions. \\ + \hline +\end{tabular} +\end{center} + + +\subsection{Vectors} +A \textbf{vector} is a special type of matrix, having only one row or one column. +MATLAB handles matrices \& vectors in the same way. + +Rules: +\begin{itemize} + \item Elements in the list must be enclose in square brackets. + \item Elements in the list must be separated by either spaces or by commas. +\end{itemize} + +\begin{lstlisting}[language=MATLAB] +x = [1 2 3 4 5 6] +y = [1,2,3,4,5,6] +\end{lstlisting} + +Vectors can also be initialised using the colon \verb|:| operator. +\begin{lstlisting}[language=MATLAB] +x = 1:10 +y = 1:5:10 +\end{lstlisting} + +Operations can be performed on vectors, e.g \verb|sum(x)|, \verb|mean(x)|, etc. +Elements in a vector can be accessed via \verb|x(1)| or \verb|x(1:3)| to get a range of elements. +Note: vectors in MATLAB are indexed from 1, not 0. + +\subsubsection{Transposing Vectors} +The vectors generated thus far have been \textit{row vectors}. +\textit{Column vectors} may be needed for matrix operations. +The single quote \verb|'| can be used to transpose a vector. + +\begin{center} + \includegraphics[width=0.25\textwidth]{singlequote.png} +\end{center} + +\section{Lecture 02 - Logical Vectors \& Arrays} +\subsection{Element-Wise Operations} + +\section{MATLAB Functions} +MATLAB allows you to create your own function \textbf{M-files}. +A function file differs from a script file in that the function M-file communicates with the MATLAB workspace through +specially designated input \& output arguments. + +A function M-file \verb|name.m| has the following general form: +\begin{lstlisting}[language=MATLAB] +function [outarg1, outarg2, ...] = name(inarg1, inarg2, ...) +% help text +outarg1 = ...; +outarg2 = ...; +end +\end{lstlisting} + +\begin{itemize} + \item \textbf{Function Keyword -} The function file must start with the keyword \verb|function|. + \item \textbf{Input \& Output Arguments -} The input \& output arguments define the function's means of communication with the workspace. + \begin{itemize} + \item If there is more than one output argument, the output arguments must be separated by commas \& enclosed in square brackets. + \item Input \& output variables can be vectors. + \end{itemize} + \item \textbf{Help Text -} When you type \verb|help function_name|, MATLAB displays the comment lines that appear between the function definition \& the first non-comment line. + \item Function names should follow the MATLAB rules for variable names. +\end{itemize} + +If a function changes the value of any of its input arguments, the change is \textbf{not} reflected in the actual argument. +An input argument is only passed by value if a function modifies it. +If a function does not modify an input argument, it is passed by reference. + +A variable number of arguments can be passed to a function. +A function may be called with all, some, or none of its arguments. +The same applies to output arguments. +\verb|nargin| displays the number of arguments passed. + + +\subsection{Scope} +Any \textbf{local variables} defined inside a function are not accessible outside the function. +These local variables exist only inside the function, which has its own workspace, separate from the base workspace. + +Variables which are defined in the base workspace and are not normally accessible inside functions. +If functions (\& possibly the base workspace) declare variables as \textbf{global}. then they will all share a single copy of those variables. + +\textbf{Persistent variables}, unlike local variables, remain persistent between function calls. +A persistent variable is initially an empty array. +Persistent variables can be declared with the keyword \verb|persistent |. + +\subsection{Subfunctions} +The function M-file may contain code for more than one function. +The first function in the M-file is called the \textbf{primary function}. +Additional functions are known as \textbf{subfunctions}, and are visible only to the primary functions \& to the other subfunctions. +Subfunctions follow each other ina ny order \textit{after} the primary function. + +\section{Processing Images in MATLAB} +\subsection{Examples of Image Types} +\begin{itemize} + \item \textbf{Binary Images:} 2D arrays that assign one numerical value from the set (0,1) to each pixel in the image. + Often called \textbf{logical images}. + \verb|0| corresponds to black, while \verb|1| corresponds to white. + Binary images can be represented as a simple bit stream. + + \item \textbf{Intensity/Grayscale Images:} 2D arrays that assign one numerical value to each pixel, representing the intensity + at said pixel. + The range is bounded by the bit resolution of the image. + + \item \textbf{RGB Images:} 3D arrays that assign three numerical values to each pixel, with each value corresponding to the red, + green, \& blue image channel. + Pixels are accessed by \verb|I(Row,Column,Channel)| in MATLAB. +\end{itemize} + +\subsection{Key MATLAB Functions} +MATLAB's image processing toolbox contains an extensive image processing library, including: +\begin{itemize} + \item \verb|imread(filename)| - Reads an image from a graphical file and converts it to a MATLAB array object. + \item \verb|imshow(object)| - Displays an image. + \item \verb|linspace(X1,X2,N)| - Generates a row vector of \verb|N| linearly spaced points between \verb|X1| \& \verb|X2|. + If \verb|N| is excluded, 100 points will be generated. + \item \verb|subplot(m,n,p)| - Creates axes in tiled positions by dividing the current figure into an \verb|m|-by-\verb|n| + grid and creating axes in the position specified by \verb|p|. + MATLAB numbers subplot positions by row. + The first subplot is the first column of the first row, the second subplot is the second column + of the second row, etc. +\end{itemize} + +\subsection{Image Colour} +An image contains one or more colour channels that define the intensity or colour at a particular pixel location \verb|I(m.n)|. +In the simplest case, each pixel location contains only a single numerical value representing the signal level at that point in the image. +The most common colour map is \textbf{greyscale}. +The maximum numerical value representing the signal level is $2^8-2=255$. + +\subsection{Operations on Pixels} +The most basic type of image processing is a \textbf{point transform} which maps the value at individual points (pixels) in the input +image to corresponding points in an output image. +In a mathematical sense, it's a one-to=one functional mapping from input to output. + +Types of operations include: +\begin{itemize} + \item Pixel addition \& subtraction. + \item Thresholding. + \item RGB to Greyscale. + \item Rotation (90º). + \item Simple cropping. +\end{itemize} + +\subsubsection{Arithmetic Operations on Images} +Arithmetic operations can be performed quickly and easily on images. +The example below shows contrast adjustment. +\begin{lstlisting}[language=MATLAB] +I = imread("cameraman.tif"); + +O = I + 50; +O1 = I + 100; +O2 = I - 100; + +subplot(2,2,1),imshow(I),title("Original Image"); +subplot(2,2,2),imshow(O),title("+50"); +subplot(2,2,3),imshow(O1),title("+100"); +subplot(2,2,4),imshow(O2),title("-100"); +\end{lstlisting} + +\begin{center} + \includegraphics[width=0.7\textwidth]{arithmeticoperationsonimages.png} +\end{center} + +\subsubsection{Thresholding} +\textbf{Thresholding} produces a binary image from a greyscale or colour image by setting pixels to \verb|1| or \verb|0| depending on +whether they are above or below the threshold value. +This is useful to help separate the image foreground from the background. +Logical operators are very useful for this. + +\begin{lstlisting}[language=MATLAB] +I = imread('rice.png'); +T1 = I > 100; +T2 = I > 105; +T3 = I > 110; +T4 = I > 115; +T5 = I > 120; +subplot(2,3,1),imshow(I),title('Original Image'); +subplot(2,3,2),imshow(T1),title('Threshold @100'); +subplot(2,3,3),imshow(T2),title('Threshold @105'); +subplot(2,3,4),imshow(T3),title('Threshold @110'); +subplot(2,3,5),imshow(T4),title('Threshold @115'); +subplot(2,3,6),imshow(T5),title('Threshold @120'); +\end{lstlisting} + +\section{Data Science} +\subsection{Introducing the Table in MATLAB} +\textbf{Tables} are used to collect heterogeneous data \& metadata in a single container. +Tables are suitable for storing column-oriented or tabular data that is often stored as columns in a text file or in a spreadsheet. +Tables can accomodate variables of different types, sizes, units, etc. +Tables are often used to store experimental data, with rows representing the different observations and columns representing different measured variables. + +Tables can be subscripted using parentheses much like ordinary numeric arrays, but in addition to numeric and logical indices, one can use a table's variable and row names (if defined) as \textbf{indices}. +One can access individual variables in a table much like fields in a structure, using \textbf{dot subscripting}. +One can access the contents of one or more variables using \textbf{brace subscripting}. + +\bibliographystyle{unsrtnat} +\bibliography{references} +\end{document} + diff --git a/second/semester2/CT248/Notes/images/2x2example.png b/second/semester2/CT248/Notes/images/2x2example.png new file mode 100644 index 00000000..b00ba36c Binary files /dev/null and b/second/semester2/CT248/Notes/images/2x2example.png differ diff --git a/second/semester2/CT248/Notes/images/arithmeticoperationsonimages.png b/second/semester2/CT248/Notes/images/arithmeticoperationsonimages.png new file mode 100644 index 00000000..b19947ec Binary files /dev/null and b/second/semester2/CT248/Notes/images/arithmeticoperationsonimages.png differ diff --git a/second/semester2/CT248/Notes/images/matrix.png b/second/semester2/CT248/Notes/images/matrix.png new file mode 100644 index 00000000..61cd1032 Binary files /dev/null and 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b/second/semester2/CT248/Notes/report.sty @@ -0,0 +1,264 @@ +\NeedsTeXFormat{LaTeX2e} + +\ProcessOptions\relax + +% fonts +\renewcommand{\rmdefault}{ptm} +\renewcommand{\sfdefault}{phv} + +% set page geometry +\usepackage[verbose=true,letterpaper]{geometry} +\AtBeginDocument{ + \newgeometry{ + textheight=9in, + textwidth=6.5in, + top=1in, + headheight=14pt, + headsep=25pt, + footskip=30pt + } +} + +\widowpenalty=10000 +\clubpenalty=10000 +\flushbottom +\sloppy + + + +\newcommand{\headeright}{Ph.D. Confirmation Report} +\newcommand{\undertitle}{Ph.D. Confirmation Report} +\newcommand{\shorttitle}{\@title} + +\usepackage{fancyhdr} +\fancyhf{} +\pagestyle{fancy} +\renewcommand{\headrulewidth}{0.4pt} +\fancyheadoffset{0pt} +\rhead{\scshape \footnotesize \headeright} +\chead{\shorttitle} +\cfoot{\thepage} + + +%Handling Keywords +\def\keywordname{{\bfseries \emph{Keywords}}}% +\def\keywords#1{\par\addvspace\medskipamount{\rightskip=0pt plus1cm +\def\and{\ifhmode\unskip\nobreak\fi\ $\cdot$ 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\@startsection{subparagraph}{5}{\z@}% + {1.5ex \@plus 0.5ex \@minus 0.2ex}% + {-1em}% + {\normalsize\bf}% +} +\providecommand{\subsubsubsection}{} +\renewcommand{\subsubsubsection}{% + \vskip5pt{\noindent\normalsize\rm\raggedright}% +} + +% float placement +\renewcommand{\topfraction }{0.85} +\renewcommand{\bottomfraction }{0.4} +\renewcommand{\textfraction }{0.1} +\renewcommand{\floatpagefraction}{0.7} + +\newlength{\@abovecaptionskip}\setlength{\@abovecaptionskip}{7\p@} +\newlength{\@belowcaptionskip}\setlength{\@belowcaptionskip}{\z@} + +\setlength{\abovecaptionskip}{\@abovecaptionskip} +\setlength{\belowcaptionskip}{\@belowcaptionskip} + +% swap above/below caption skip lengths for tables +\renewenvironment{table} + {\setlength{\abovecaptionskip}{\@belowcaptionskip}% + \setlength{\belowcaptionskip}{\@abovecaptionskip}% + \@float{table}} + {\end@float} + +% footnote formatting +\setlength{\footnotesep }{6.65\p@} +\setlength{\skip\footins}{9\p@ \@plus 4\p@ \@minus 2\p@} +\renewcommand{\footnoterule}{\kern-3\p@ \hrule width 12pc \kern 2.6\p@} +\setcounter{footnote}{0} + +% paragraph formatting +\setlength{\parindent}{\z@} +\setlength{\parskip }{5.5\p@} + +% list formatting +\setlength{\topsep }{4\p@ \@plus 1\p@ \@minus 2\p@} +\setlength{\partopsep }{1\p@ \@plus 0.5\p@ \@minus 0.5\p@} +\setlength{\itemsep }{2\p@ \@plus 1\p@ \@minus 0.5\p@} +\setlength{\parsep }{2\p@ \@plus 1\p@ \@minus 0.5\p@} +\setlength{\leftmargin }{3pc} +\setlength{\leftmargini }{\leftmargin} +\setlength{\leftmarginii }{2em} +\setlength{\leftmarginiii}{1.5em} +\setlength{\leftmarginiv }{1.0em} +\setlength{\leftmarginv }{0.5em} +\def\@listi {\leftmargin\leftmargini} +\def\@listii {\leftmargin\leftmarginii + \labelwidth\leftmarginii + \advance\labelwidth-\labelsep + \topsep 2\p@ \@plus 1\p@ \@minus 0.5\p@ + \parsep 1\p@ \@plus 0.5\p@ \@minus 0.5\p@ + \itemsep \parsep} +\def\@listiii{\leftmargin\leftmarginiii + \labelwidth\leftmarginiii + \advance\labelwidth-\labelsep + \topsep 1\p@ \@plus 0.5\p@ \@minus 0.5\p@ + \parsep \z@ + \partopsep 0.5\p@ \@plus 0\p@ \@minus 0.5\p@ + \itemsep \topsep} +\def\@listiv {\leftmargin\leftmarginiv + \labelwidth\leftmarginiv + \advance\labelwidth-\labelsep} +\def\@listv {\leftmargin\leftmarginv + \labelwidth\leftmarginv + \advance\labelwidth-\labelsep} +\def\@listvi {\leftmargin\leftmarginvi + \labelwidth\leftmarginvi + \advance\labelwidth-\labelsep} + +% create title +\providecommand{\maketitle}{} +\renewcommand{\maketitle}{% + \par + \begingroup + \renewcommand{\thefootnote}{\fnsymbol{footnote}} + % for perfect author name centering + \renewcommand{\@makefnmark}{\hbox to \z@{$^{\@thefnmark}$\hss}} + % The footnote-mark was overlapping the footnote-text, + % added the following to fix this problem (MK) + \long\def\@makefntext##1{% + \parindent 1em\noindent + \hbox to 1.8em{\hss $\m@th ^{\@thefnmark}$}##1 + } + \thispagestyle{empty} + \@maketitle + \@thanks + %\@notice + \endgroup + \let\maketitle\relax + \let\thanks\relax +} + +% rules for title box at top of first page +\newcommand{\@toptitlebar}{ + \hrule height 2\p@ + \vskip 0.25in + \vskip -\parskip% +} +\newcommand{\@bottomtitlebar}{ + \vskip 0.29in + \vskip -\parskip + \hrule height 2\p@ + \vskip 0.09in% +} + +% create title (includes both anonymized and non-anonymized versions) +\providecommand{\@maketitle}{} +\renewcommand{\@maketitle}{% + \vbox{% + \hsize\textwidth + \linewidth\hsize + \vskip 0.8in + \@toptitlebar + \centering + {\LARGE\sc \@title\par} + \@bottomtitlebar + \vskip 0.5in + \textsc{\Large\undertitle}\\ + \vskip 2.0in + \def\And{% + \end{tabular}\hfil\linebreak[0]\hfil% + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\ignorespaces% + } + \def\AND{% + \end{tabular}\hfil\linebreak[4]\hfil% + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\large\ignorespaces% + } + \begin{tabular}[t]{c}\bf\rule{\z@}{24\p@}\Large\@author\end{tabular}% + \vskip 1.0in \@minus 0.1in \center{\large\@date} \vskip 0.2in + } +} + +% add conference notice to bottom of first page +\newcommand{\ftype@noticebox}{8} +\newcommand{\@notice}{% + % give a bit of extra room back to authors on first page + \enlargethispage{2\baselineskip}% + \@float{noticebox}[b]% + \footnotesize\@noticestring% + \end@float% +} + +% abstract styling +\renewenvironment{abstract} +{ + \centerline + {\large \bfseries \scshape Abstract} + \begin{quote} +} +{ + \end{quote} +} + +\endinput + diff --git a/second/semester2/CT248/Slides/CT248-Slides.pdf b/second/semester2/CT248/Slides/CT248-Slides.pdf new file mode 100644 index 00000000..e4b5f4bd Binary files /dev/null and b/second/semester2/CT248/Slides/CT248-Slides.pdf differ diff --git a/second/semester2/CT255/Assignments/Assigment-01/MyApplication.java b/second/semester2/CT255/Assignments/Assigment-01/MyApplication.java new file mode 100644 index 00000000..a82fd87b --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-01/MyApplication.java @@ -0,0 +1,56 @@ +// package MyApplication; + +import java.awt.*; +import javax.swing.*; + + +public class MyApplication extends JFrame { + private static final Dimension WindowSize = new Dimension(600,600); + + public MyApplication() { + // create & set up the window + this.setTitle("Pacman, or something..."); + setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); + + // display the window. centred on the screen + Dimension screensize = java.awt.Toolkit.getDefaultToolkit().getScreenSize(); + int x = screensize.width/2 - WindowSize.width/2; + int y = screensize.height/2 - WindowSize.height/2; + setBounds(x, y, WindowSize.width, WindowSize.height); + setVisible(true); + } + + public static void main(String[] args) { + MyApplication w = new MyApplication(); + } + + public void paint(Graphics g) { + int height = 50, width = 50; // defining the height & width of the rectangle + int x = 10, y = 10; // defining the vertical & horizontal position between rectangles + + // looping for each of the 10 rows in the window + for (int row = 0; row < 10; row++) { + + // looping for each of the 10 columns in the window + for (int column = 0; column < 10; column++) { + + // randomly generating an RGB colour & setting the graphic to use it + Color c = new Color((int)(Math.random()*255), (int)(Math.random()*255), (int)(Math.random()*255)); + g.setColor(c); + + // make a filled rectangle with the specified dimensions at the specified x, y co-ordinates + g.fillRect(x, y, height, width); + + + // increasing the x by adding the size of a square plus the desired padding + x += width + 10; + } + + // resetting the x value to 10 for the next row + x = 10; + + // increasing the y by adding the height of a square plus the desired padding + y += height + 10; + } + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-01/Week1-solution.pdf b/second/semester2/CT255/Assignments/Assigment-01/Week1-solution.pdf new file mode 100644 index 00000000..3a2c17de Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-01/Week1-solution.pdf differ diff --git a/second/semester2/CT255/Assignments/Assigment-02/GameObject.java b/second/semester2/CT255/Assignments/Assigment-02/GameObject.java new file mode 100644 index 00000000..6b3ac74a --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-02/GameObject.java @@ -0,0 +1,41 @@ +import java.awt.*; +import javax.swing.*; +import java.util.*; + +public class GameObject { + // member data + private int x, y; + private int height = 50, width = 50; + private Color c; + private int stepSize = 10; // how many pixels the object will move at a time + + // constructor + public GameObject() { + // randomly generating colour + c = new Color((int)(Math.random()*255), (int)(Math.random()*255), (int)(Math.random()*255)); + + // randomly generating initial x y co-ordinates + x = (int)(Math.random()*600); + y = (int)(Math.random()*600); + } + + // public interface + public void move() { + // generating either a 1 or a 0 to determine if the square should move left or right and up or down - 1 = left/up, 0 = right/down + int xDirection = (int)(Math.random()*2); + int yDirection = (int)(Math.random()*2); + + // changing the x & y co-ordinates by either plus or minus the stepSize, depending on the direction + x += (xDirection == 1) ? -stepSize : + stepSize; + y += (yDirection == 1) ? -stepSize : + stepSize; + } + + public void paint(Graphics g) { + // setting colour + g.setColor(c); + + // make a filled rectangle with the specified dimensions at the specified x, y co-ordinates + g.fillRect(x, y, height, width); + } +} + diff --git a/second/semester2/CT255/Assignments/Assigment-02/MovingSquaresApplication.java b/second/semester2/CT255/Assignments/Assigment-02/MovingSquaresApplication.java new file mode 100644 index 00000000..1b82bdcc --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-02/MovingSquaresApplication.java @@ -0,0 +1,76 @@ +import java.awt.*; +import javax.swing.*; +import java.util.*; + +public class MovingSquaresApplication extends JFrame implements Runnable { + // window dimensions + private static final Dimension WindowSize = new Dimension(600,600); + + // array of gameobjects (squares) + private GameObject gameobjects[] = new GameObject[100]; + + // constructor + public MovingSquaresApplication() { + // create & set up the window + this.setTitle("Moving Squares Apllication"); + setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); + + // display the window. centred on the screen + Dimension screensize = java.awt.Toolkit.getDefaultToolkit().getScreenSize(); + int x = screensize.width/2 - WindowSize.width/2; + int y = screensize.height/2 - WindowSize.height/2; + setBounds(x, y, WindowSize.width, WindowSize.height); + setVisible(true); + + // create array of game objects. + //Arrays.fill(gameobjects, 100); + for (int i = 0; i < 100; i++) { + gameobjects[i] = new GameObject(); + } + + // creating a new thread & starting it + Thread t = new Thread(this); + t.start(); + } + + // run method called by thread + public void run() { + while (true) { + // iterating over array of gameobjects & calling move() on each object + for (GameObject go : gameobjects) { + go.move(); + } + + try { + // sleeping + Thread.sleep(100); + + // catching exception + } catch (InterruptedException e) { + e.printStackTrace(); + } + + // repainting now that every object has been moved + this.repaint(); + } + + } + + // paint method + public void paint(Graphics g) { + // filling the screen with a white square between "frames" of animation to get rid of trails caused by moving objects + Color c = new Color(255, 255, 255); + g.setColor(c); + g.fillRect(0, 0, 1000, 1000); + + // iterating over each GameObject and calling paint on it + for (GameObject go : gameobjects) { + go.paint(g); + } + } + + public static void main(String[] args) { + // instantiating class in main method to begin application + MovingSquaresApplication w = new MovingSquaresApplication(); + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-02/Week2_Solution.pdf b/second/semester2/CT255/Assignments/Assigment-02/Week2_Solution.pdf new file mode 100644 index 00000000..d1c91b23 Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-02/Week2_Solution.pdf differ diff --git a/second/semester2/CT255/Assignments/Assigment-03/Alien.java b/second/semester2/CT255/Assignments/Assigment-03/Alien.java new file mode 100644 index 00000000..27aa2b67 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-03/Alien.java @@ -0,0 +1,22 @@ +import java.awt.*; +import javax.swing.*; + +public class Alien extends Sprite2D { + private int stepSize = 5; + + public Alien(Image image) { + super(image); + } + + // method to randomly move the alien + public void move() { + // generating either a 1 or a 0 to determine if the square should move left or right and up or down - 1 = left/up, 0 = right/down + int xDirection = (int)(Math.random()*2); + int yDirection = (int)(Math.random()*2); + + // changing the x & y co-ordinates (inherited from superclass) by either plus or minus the stepSize, depending on the direction + x += (xDirection == 1) ? -stepSize : + stepSize; + y += (yDirection == 1) ? -stepSize : + stepSize; + } + +} diff --git a/second/semester2/CT255/Assignments/Assigment-03/InvadersApplication.java b/second/semester2/CT255/Assignments/Assigment-03/InvadersApplication.java new file mode 100644 index 00000000..72846625 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-03/InvadersApplication.java @@ -0,0 +1,125 @@ +import java.awt.*; +import java.awt.event.*; +import javax.swing.*; + +public class InvadersApplication extends JFrame implements Runnable, KeyListener { + // member data + private static String workingDirectory = System.getProperty("user.dir"); + + private Image alienImage; + private Image playerImage; + + private static final Dimension WindowSize = new Dimension(600, 600); + private static final int NUMALIENS = 30; + private Alien[] AliensArray = new Alien[NUMALIENS]; + private Player player; + + // variable to hold how far the player should be moving in the x axis per frame - default 0. + private int dx = 0; + + // constructor + public InvadersApplication() { + // set up window + setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); + + // display the window. centred on the screen + Dimension screensize = java.awt.Toolkit.getDefaultToolkit().getScreenSize(); int x = screensize.width/2 - WindowSize.width/2; int y = screensize.height/2 - WindowSize.height/2; + setBounds(x, y, WindowSize.width, WindowSize.height); + + // adding a key listener + addKeyListener(this); + + // load image from disk + ImageIcon alienIcon = new ImageIcon(workingDirectory + "/alien_ship_1.png"); + ImageIcon playerIcon = new ImageIcon(workingDirectory + "/player_ship.png"); + + alienImage = alienIcon.getImage(); + playerImage = playerIcon.getImage(); + + // instantiating an alien for each index in the aliens array + for (int i = 0; i < NUMALIENS; i++) { + AliensArray[i] = new Alien(alienImage); + + // generating a random starting position for the alien + AliensArray[i].setPosition((int) (Math.random()*600), (int) (Math.random()*600)); + } + + // creating a player icon & setting it's position + player = new Player(playerImage); + player.setPosition(270, 550); + + setVisible(true); + + // create a new thread & start it + Thread t = new Thread(this); + t.start(); + } + + // thread's entry point + public void run() { + while (true) { + // repainting + this.repaint(); + + try { + Thread.sleep(20); + } catch (InterruptedException e) { + e.printStackTrace(); + } + } + } + + @Override + public void keyPressed(KeyEvent e) { + // getting the keycode of the event + int key = e.getKeyCode(); + + // if right key pressed, making the distance to be moved 10px to the right + if (key == KeyEvent.VK_RIGHT) { + dx = 5; + } + // if left key pressed, making the distance to be moved 10px to the left + if (key == KeyEvent.VK_LEFT) { + dx = -5; + } + } + + @Override + public void keyReleased(KeyEvent e) { + // getting the keycode of the event + int key = e.getKeyCode(); + + // if the key released was the left or right arrow, setting dx back to 0 + if (key == KeyEvent.VK_RIGHT || key == KeyEvent.VK_LEFT) { + dx = 0; + } + } + + @Override + public void keyTyped(KeyEvent e) { + } + + // application's paint method + public void paint(Graphics g) { + // draw a black rectangle on the whole canvas + g.setColor(Color.BLACK); + g.fillRect(0, 0, 600, 600); + + // iterating through each sprite, moving it, and calling it's paint method + for (Alien a : AliensArray) { + a.move(); + a.paint(g); + } + + // moving the player dx pixels - should be 0 if no key is being pressed + player.move(dx); + + // calling the Player's paint method + player.paint(g); + } + + // application entry point + public static void main(String[] args) { + InvadersApplication ia = new InvadersApplication(); + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-03/Player.java b/second/semester2/CT255/Assignments/Assigment-03/Player.java new file mode 100644 index 00000000..9e58a5a6 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-03/Player.java @@ -0,0 +1,13 @@ +import java.awt.*; +import javax.swing.*; + +public class Player extends Sprite2D { + public Player(Image image) { + super(image); + } + + // method to move the player by the supplied distance + public void move(int distance) { + x += distance; // x is inherited from the Sprite2D superclass + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-03/Sprite2D.java b/second/semester2/CT255/Assignments/Assigment-03/Sprite2D.java new file mode 100644 index 00000000..f41047cb --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-03/Sprite2D.java @@ -0,0 +1,24 @@ +import java.awt.*; +import javax.swing.*; + +public class Sprite2D { + // member data + public int x,y; // public so that it can be inherited + private Image image; + + public Sprite2D(Image image) { + this.image = image; + } + + // paint method + public void paint(Graphics g) { + // draw the image + g.drawImage(image, x, y, null); + } + + // set the position of the object + public void setPosition(int x, int y) { + this.x = x; + this.y = y; + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-03/Week3_Solution.pdf b/second/semester2/CT255/Assignments/Assigment-03/Week3_Solution.pdf new file mode 100644 index 00000000..813bd432 Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-03/Week3_Solution.pdf differ diff --git a/second/semester2/CT255/Assignments/Assigment-03/alien_ship_1.png b/second/semester2/CT255/Assignments/Assigment-03/alien_ship_1.png new file mode 100755 index 00000000..91ae21ae Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-03/alien_ship_1.png differ diff --git a/second/semester2/CT255/Assignments/Assigment-03/player_ship.png b/second/semester2/CT255/Assignments/Assigment-03/player_ship.png new file mode 100755 index 00000000..ebad155b Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-03/player_ship.png differ diff --git a/second/semester2/CT255/Assignments/Assigment-04/Alien.java b/second/semester2/CT255/Assignments/Assigment-04/Alien.java new file mode 100644 index 00000000..70ff109c --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-04/Alien.java @@ -0,0 +1,31 @@ +import java.awt.*; +import javax.swing.*; + +public class Alien extends Sprite2D { + private int stepSize = 2; + + public Alien(Image image) { + super(image); + } + + // method to randomly move the alien + public void move(boolean right) { + // changing the x & y co-ordinates (inherited from superclass) by either plus or minus the stepSize, depending on the direction + if (right) { + x += stepSize; + } + else { + x -= stepSize; + } + } + + // method to move aliend down + public void moveDown() { + y += 10; + } + + // getter method for the alien's x coordinate + public int getx() { + return x; + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-04/InvadersApplication.java b/second/semester2/CT255/Assignments/Assigment-04/InvadersApplication.java new file mode 100644 index 00000000..edc40121 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-04/InvadersApplication.java @@ -0,0 +1,173 @@ +import java.awt.*; +import java.awt.event.*; +import javax.swing.*; +import java.awt.image.*; + +public class InvadersApplication extends JFrame implements Runnable, KeyListener { + // member data + private static String workingDirectory = System.getProperty("user.dir"); + + private Image alienImage; + private Image playerImage; + + private static final Dimension WindowSize = new Dimension(800, 600); + private static final int NUMALIENS = 30; + private Alien[] AliensArray = new Alien[NUMALIENS]; + boolean right = true; // boolean to tell which direction the aliens are moving + private Player player; + + private BufferStrategy strategy; + + // variable to hold how far the player should be moving in the x axis per frame - default 0. + private int dx = 0; + + // constructor + public InvadersApplication() { + // set up window + setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); + + // adding a key listener + addKeyListener(this); + + // display the window. centred on the screen + Dimension screensize = java.awt.Toolkit.getDefaultToolkit().getScreenSize(); + int x = screensize.width/2 - WindowSize.width/2; int y = screensize.height/2 - WindowSize.height/2; + setBounds(x, y, WindowSize.width, WindowSize.height); + + // load image from disk + ImageIcon alienIcon = new ImageIcon(workingDirectory + "/alien_ship_1.png"); + ImageIcon playerIcon = new ImageIcon(workingDirectory + "/player_ship.png"); + + alienImage = alienIcon.getImage(); + playerImage = playerIcon.getImage(); + + // initial x and y coordinates for the aliens + int alienx = 200; + int alieny = 25; + int column = 0; // keeps track of which column the alien is in + for (int i = 0; i < NUMALIENS; i++) { + AliensArray[i] = new Alien(alienImage); + AliensArray[i].setPosition(alienx, alieny); + + alienx += 60; + column++; + + // go onto a new line every 5 aliens + if (column >= 6) { + column = 0; + alienx = 200; + alieny += 60; + } + } + + // creating a player icon & setting it's position + player = new Player(playerImage); + player.setPosition(270, 550); + + setVisible(true); + + createBufferStrategy(2); + strategy = getBufferStrategy(); + + // create a new thread & start it + Thread t = new Thread(this); + t.start(); + } + + // thread's entry point + public void run() { + while (true) { + // repainting + this.repaint(); + + try { + Thread.sleep(20); + } catch (InterruptedException e) { + e.printStackTrace(); + } + } + } + + @Override + public void keyPressed(KeyEvent e) { + // getting the keycode of the event + int key = e.getKeyCode(); + + // if right key pressed, making the distance to be moved 10px to the right + if (key == KeyEvent.VK_RIGHT) { + dx = 5; + } + // if left key pressed, making the distance to be moved 10px to the left + if (key == KeyEvent.VK_LEFT) { + dx = -5; + } + } + + @Override + public void keyReleased(KeyEvent e) { + // getting the keycode of the event + int key = e.getKeyCode(); + + // if the key released was the left or right arrow, setting dx back to 0 + if (key == KeyEvent.VK_RIGHT || key == KeyEvent.VK_LEFT) { + dx = 0; + } + } + + @Override + public void keyTyped(KeyEvent e) { + } + + // application's paint method + public void paint(Graphics g) { + g = strategy.getDrawGraphics(); + // draw a black rectangle on the whole canvas + g.setColor(Color.BLACK); + g.fillRect(0, 0, 800, 600); + + + // iterating through each sprite, moving it, and calling it's paint method + for (Alien a : AliensArray) { + a.move(right); + a.paint(g); + } + + // checking if any of the aliens hit the edge when they were moved + for (Alien a : AliensArray) { + // changing direction & moving down if edge is hit + if (a.getx() > 750) { + right = false; + + // looping through all the aliens and moving them down + for (Alien alien : AliensArray) { + alien.moveDown(); + } + + break; + } + else if (a.getx() < 0) { + right = true; + + // looping through all the aliens and moving them down + for (Alien alien : AliensArray) { + alien.moveDown(); + } + + break; + } + } + + // moving the player dx pixels - should be 0 if no key is being pressed + player.move(dx); + + // calling the Player's paint method + player.paint(g); + + strategy.show(); + } + + // application entry point + public static void main(String[] args) { + InvadersApplication ia = new InvadersApplication(); + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-04/Player.java b/second/semester2/CT255/Assignments/Assigment-04/Player.java new file mode 100644 index 00000000..9e58a5a6 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-04/Player.java @@ -0,0 +1,13 @@ +import java.awt.*; +import javax.swing.*; + +public class Player extends Sprite2D { + public Player(Image image) { + super(image); + } + + // method to move the player by the supplied distance + public void move(int distance) { + x += distance; // x is inherited from the Sprite2D superclass + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-04/Sprite2D.java b/second/semester2/CT255/Assignments/Assigment-04/Sprite2D.java new file mode 100644 index 00000000..612e8286 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-04/Sprite2D.java @@ -0,0 +1,23 @@ +import java.awt.*; +import javax.swing.*; + +public class Sprite2D { + // member data + protected int x,y; + private Image image; + + public Sprite2D(Image image) { + this.image = image; + } + + // paint method + public void paint(Graphics g) { + // draw the image + g.drawImage(image, x, y, null); + } + + // set the position of the object + public void setPosition(int x, int y) { + this.x = x; + this.y = y; } +} diff --git a/second/semester2/CT255/Assignments/Assigment-04/alien_ship_1.png b/second/semester2/CT255/Assignments/Assigment-04/alien_ship_1.png new file mode 100755 index 00000000..91ae21ae Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-04/alien_ship_1.png differ diff --git a/second/semester2/CT255/Assignments/Assigment-04/player_ship.png b/second/semester2/CT255/Assignments/Assigment-04/player_ship.png new file mode 100755 index 00000000..ebad155b Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-04/player_ship.png differ diff --git a/second/semester2/CT255/Assignments/Assigment-05/Alien.java b/second/semester2/CT255/Assignments/Assigment-05/Alien.java new file mode 100644 index 00000000..31b27912 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-05/Alien.java @@ -0,0 +1,55 @@ +import java.awt.*; +import javax.swing.*; + +public class Alien extends Sprite2D { + public static long framesDrawn = 0; // variable to hold the number of frames drawn + public static int aliensKilled = 0; // static variable to hold the count of the aliens killed - in alien class as it's intended to be modified by aliens + public static int stepSize = 0; // how far the aliens move each frame - 0 by default but will get increased to 5 immediately + private Image altImage; + + public Alien(Image image, Image altImage) { + super(image); + this.altImage = altImage; + } + + // method to randomly move the alien + public void move(boolean right) { + // changing the x & y co-ordinates (inherited from superclass) by either plus or minus the stepSize, depending on the direction + if (right) { + x += stepSize; + } + else { + x -= stepSize; + } + } + + // method to move aliend down + public void moveDown() { + y += 25; + } + + // overridden paint method to allow animation + @Override + public void paint(Graphics g) { + framesDrawn++; + + if (framesDrawn % 100 < 50) { + g.drawImage(image, x, y, null); + } + else { + g.drawImage(altImage, x, y, null); + } + } + + @Override + // overridden kill method to set isAlive to false and increment the aliensKilled counter + public void kill() { + isAlive = false; + aliensKilled++; + } + + // method to increase the stepsize of the aliens + public static void speedUp() { + stepSize = stepSize + 3; + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-05/InvadersApplication.java b/second/semester2/CT255/Assignments/Assigment-05/InvadersApplication.java new file mode 100644 index 00000000..5a82e41c --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-05/InvadersApplication.java @@ -0,0 +1,315 @@ +import java.awt.*; +import java.awt.event.*; +import javax.swing.*; +import java.awt.image.*; +import java.util.*; + +public class InvadersApplication extends JFrame implements Runnable, KeyListener { + // member data + private static String workingDirectory = System.getProperty("user.dir"); + private static boolean isGraphicsInitialised = false; + + private Image alienImage; + private Image altAlienImage; + private Image playerImage; + private Image bulletImage; + + private static final Dimension WindowSize = new Dimension(800, 600); + + private static final int NUMALIENS = 30; + private Alien[] aliensArray = new Alien[NUMALIENS]; // arraylist of all the currently extant bullets + private ArrayList bullets = new ArrayList(); + + boolean right = true; // boolean to tell which direction the aliens are moving + private Player player; + + private BufferStrategy strategy; + + // variable to hold how far the player should be moving in the x axis per frame - default 0. + private int dx = 0; + + public boolean gameOver = false; // boolean to tell what state the game is in + private long score = 0; // player's score + private long bestScore = 0; // the best score the player has achieved + + // constructor + public InvadersApplication() { + // set up window + setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); + + // adding a key listener + addKeyListener(this); + + // display the window. centred on the screen + Dimension screensize = java.awt.Toolkit.getDefaultToolkit().getScreenSize(); + int x = screensize.width/2 - WindowSize.width/2; int y = screensize.height/2 - WindowSize.height/2; + setBounds(x, y, WindowSize.width, WindowSize.height); + + // load image from disk + ImageIcon alienIcon = new ImageIcon(workingDirectory + "/alien_ship_1.png"); + ImageIcon altAlienIcon = new ImageIcon(workingDirectory + "/alien_ship_2.png"); + ImageIcon playerIcon = new ImageIcon(workingDirectory + "/player_ship.png"); + ImageIcon bulletIcon = new ImageIcon(workingDirectory + "/bullet.png"); + + alienImage = alienIcon.getImage(); + altAlienImage = altAlienIcon.getImage(); + playerImage = playerIcon.getImage(); + bulletImage = bulletIcon.getImage(); + + // creating a player icon & setting it's position + player = new Player(playerImage); + player.setPosition(270, 550); + + setVisible(true); + + createBufferStrategy(2); + strategy = getBufferStrategy(); + + // create a new thread & start it + Thread t = new Thread(this); + t.start(); + + isGraphicsInitialised = true; + } + + // thread's entry point + public void run() { + while (true) { + // repainting + try { + this.repaint(); + Thread.sleep(20); + } catch (InterruptedException e) { + e.printStackTrace(); + } + } + } + + @Override + public void keyPressed(KeyEvent e) { + // what to do on keypress if the player is alive (game is being played) + if (player.isAlive) { + // getting the keycode of the event + int key = e.getKeyCode(); + + // if right key pressed, making the distance to be moved 10px to the right + if (key == KeyEvent.VK_RIGHT) { + dx = 5; + } + // if left key pressed, making the distance to be moved 10px to the left + if (key == KeyEvent.VK_LEFT) { + dx = -5; + } + } + // what to do on keypress if the player is not alive (game is over) + else { + // resetting everything so that the game can be restarted + resetAll(); + } + } + + @Override + public void keyReleased(KeyEvent e) { + // getting the keycode of the event + int key = e.getKeyCode(); + + // if the key released was the left or right arrow, setting dx back to 0 + if (key == KeyEvent.VK_RIGHT || key == KeyEvent.VK_LEFT) { + dx = 0; + } + + // if space key released "firing" a bullet (creating one) + if (key == KeyEvent.VK_SPACE) { // firing bullets on release so that the player can't just hold down space to fire + bullets.add(new PlayerBullet(player, bulletImage)); + } + } + + @Override + public void keyTyped(KeyEvent e) { + } + + // method to reset everything so that a new game may be started + public void resetAll() { + Alien.framesDrawn = 0; + Alien.aliensKilled = 0; + Alien.stepSize = 0; + newWave(); + //aliensArray = null; + + player.setPosition(270, 550); + player.isAlive = true; + } + + // gameplay method + public void gameplay(Graphics g) { + // checking if any of the aliens hit the edge when they were moved + for (Alien a : aliensArray) { + // changing direction & moving down if edge is hit + if (a.getX() > 750) { + right = false; + + // looping through all the aliens and moving them down + for (Alien alien : aliensArray) { + alien.moveDown(); + } + + break; + } + else if (a.getX() < 0) { + right = true; + + // looping through all the aliens and moving them down + for (Alien alien : aliensArray) { + alien.moveDown(); + } + + break; + } + } + + // looping through each bullet, moving it, and calling its paint method if it has not collided, removing it and the alien it collided with if it has + // using an iterator so that bullets can be removed from the list as we loop through + Iterator bulletsIterator = bullets.iterator(); + while (bulletsIterator.hasNext()) { + PlayerBullet b = (PlayerBullet) bulletsIterator.next(); + b.move(); + + // bullets will be removed to save memory, but aliens will not be removed until a wave is over to preserve correct movement + for (Alien a : aliensArray) { + // only checking for collisions if the alien is alive + if (a.isAlive) { + // if the bullet collides with an alien, removing the bullet & hiding the alien + // the aliens dimensions are 50x32 + // the bullets dimensions are 6x16 + if ( + ( (a.getX() < b.getX() && a.getX()+50 > b.getX()) || (b.getX() < a.getX() && b.getX()+6 > a.getX()) ) && + ( (a.getY() < b.getY() && a.getY()+32 > b.getY()) || (b.getY() < a.getY() && b.getY()+16 > a.getY())) + ) { + bulletsIterator.remove(); + a.kill(); + score = score + 10; // increasing the score once the alien is killed + b.kill(); // "killing" the bullet so it's not painted before it's been removed + } + } + } + + // painting the bullet if it is "alive" + if (b.isAlive) { + b.paint(g); + } + } + + // looping through each alien to see if it has collided with the player + for (Alien a : aliensArray) { + // checking to see if any of the (alive) aliens have collided with the player + if (a.isAlive) { + if ( + // the player's dimensions are 54 x 32 + ( (a.getX() < player.getX() && a.getX()+50 > player.getX()) || (player.getX() < a.getX() && player.getX()+54 > a.getX()) ) + && + ( (a.getY() < player.getY() && a.getY()+32 > player.getY()) || (player.getY() < a.getY() && player.getY()+32 > a.getY())) + ) { + player.kill(); // "killing" the player + return; + } + } + } + + // moving the player dx pixels - should be 0 if no key is being pressed + player.move(dx); + + // iterating through each sprite, moving it, and calling its paint method + for (Alien a : aliensArray) { + a.move(right); + + // only painting the alien if it is alive + if (a.isAlive) { + a.paint(g); + } + } + + // calling the Player's paint method + player.paint(g); + } + + // application's paint method + public void paint(Graphics g) { + // making sure that the graphics are initialised before painting + if (isGraphicsInitialised) { + g = strategy.getDrawGraphics(); + // draw a black rectangle on the whole canvas + g.setColor(Color.BLACK); + g.fillRect(0, 0, 800, 600); + Font f = new Font("Times", Font.PLAIN, 50); + g.setColor(Color.WHITE); + + // calculating score + score = Alien.aliensKilled * 10; + + // displaying score and best score + String scorebar = "Score: " + score + " Best: " + bestScore; + g.drawString(scorebar, 50, 50); + + + // if the game is not over, playing the game. else, displaying a gameover screen. + if (player.isAlive) { + // checking if all the aliens are dead, and if so, spawning a new wave + boolean noAliens = true; + for (Alien a : aliensArray) { + if (a != null && a.isAlive) { + noAliens = false; + break; + } + } + if (noAliens) { + newWave(); + } + gameplay(g); + } + else { + if (score > bestScore) { + bestScore = score; + } + String scores = "Score: " + score + " Best Score: " + bestScore; + g.drawString("GAME OVER", 400, 300); + g.drawString(scores, 400, 350); + g.drawString("Press any key to continue", 400, 400); + } + + strategy.show(); + } + } + + // method to spawn a new wave of aliens + public void newWave() { + // deleting any existing bullets so the aliens don't spawn on top of them + bullets.clear(); + + // speeding up the aliens + Alien.speedUp(); + + // initial x and y coordinates for the aliens + int alienx = 200; + int alieny = 25; + int column = 0; // keeps track of which column the alien is in + for (int i = 0; i < NUMALIENS; i++) { + aliensArray[i] = new Alien(alienImage, altAlienImage); + aliensArray[i].setPosition(alienx, alieny); + + alienx += 60; + column++; + + // go onto a new line every 5 aliens + if (column >= 6) { + column = 0; + alienx = 200; + alieny += 60; + } + } + } + + // application entry point + public static void main(String[] args) { + InvadersApplication ia = new InvadersApplication(); + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-05/Player.java b/second/semester2/CT255/Assignments/Assigment-05/Player.java new file mode 100644 index 00000000..9e58a5a6 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-05/Player.java @@ -0,0 +1,13 @@ +import java.awt.*; +import javax.swing.*; + +public class Player extends Sprite2D { + public Player(Image image) { + super(image); + } + + // method to move the player by the supplied distance + public void move(int distance) { + x += distance; // x is inherited from the Sprite2D superclass + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-05/PlayerBullet.java b/second/semester2/CT255/Assignments/Assigment-05/PlayerBullet.java new file mode 100644 index 00000000..055d3fc2 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-05/PlayerBullet.java @@ -0,0 +1,15 @@ +import java.awt.*; +import javax.swing.*; + +public class PlayerBullet extends Sprite2D { + public PlayerBullet(Player player, Image image) { + super(image); + x = player.getX() + 54/2; + y = player.getY(); + } + + // method to move the bullet up each frame + public void move() { + y = y - 10; + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-05/Sprite2D.java b/second/semester2/CT255/Assignments/Assigment-05/Sprite2D.java new file mode 100644 index 00000000..68f69673 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-05/Sprite2D.java @@ -0,0 +1,41 @@ +import java.awt.*; +import javax.swing.*; + +public class Sprite2D { + // member data + protected int x,y; + protected Image image; + public boolean isAlive; // boolean to tell if the sprite is alive or not + + public Sprite2D(Image image) { + this.image = image; + this.isAlive = true; + } + + // paint method + public void paint(Graphics g) { + // draw the image + g.drawImage(image, x, y, null); + } + + // set the position of the object + public void setPosition(int x, int y) { + this.x = x; + this.y = y; + } + + // getter method for the sprite's x position + public int getX() { + return x; + } + + // getter method for the sprite's y position + public int getY() { + return y; + } + + // method to set isAlive to false + public void kill() { + isAlive = false; + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-05/Week5_Solution.pdf b/second/semester2/CT255/Assignments/Assigment-05/Week5_Solution.pdf new file mode 100644 index 00000000..1c6800a2 Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-05/Week5_Solution.pdf differ diff --git a/second/semester2/CT255/Assignments/Assigment-05/alien_ship_1.png b/second/semester2/CT255/Assignments/Assigment-05/alien_ship_1.png new file mode 100755 index 00000000..91ae21ae Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-05/alien_ship_1.png differ diff --git a/second/semester2/CT255/Assignments/Assigment-05/alien_ship_2.png b/second/semester2/CT255/Assignments/Assigment-05/alien_ship_2.png new file mode 100755 index 00000000..4efb027a Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-05/alien_ship_2.png differ diff --git a/second/semester2/CT255/Assignments/Assigment-05/bullet.png b/second/semester2/CT255/Assignments/Assigment-05/bullet.png new file mode 100755 index 00000000..a9f82392 Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-05/bullet.png differ diff --git a/second/semester2/CT255/Assignments/Assigment-05/player_ship.png b/second/semester2/CT255/Assignments/Assigment-05/player_ship.png new file mode 100755 index 00000000..ebad155b Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-05/player_ship.png differ diff --git a/second/semester2/CT255/Assignments/Assigment-05/todo.md b/second/semester2/CT255/Assignments/Assigment-05/todo.md new file mode 100644 index 00000000..9198aaa9 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-05/todo.md @@ -0,0 +1 @@ +- Multiple games diff --git a/second/semester2/CT255/Assignments/Assigment-06/GameOfLife.java b/second/semester2/CT255/Assignments/Assigment-06/GameOfLife.java new file mode 100644 index 00000000..168414c0 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-06/GameOfLife.java @@ -0,0 +1,88 @@ +import java.awt.*; +import java.awt.event.*; +import javax.swing.*; +import java.awt.image.*; +import java.util.*; + +public class GameOfLife extends JFrame implements Runnable, MouseListener { + private static final Dimension WindowSize = new Dimension(800, 800); + private BufferStrategy strategy; + private static boolean isGraphicsInitialised = false; + private boolean gameState[][] = new boolean[40][40]; + + public GameOfLife() { + setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); + + // display the window. centred on the screen + Dimension screensize = java.awt.Toolkit.getDefaultToolkit().getScreenSize(); + int x = screensize.width/2 - WindowSize.width/2; int y = screensize.height/2 - WindowSize.height/2; + setBounds(x, y, WindowSize.width, WindowSize.height); + setVisible(true); + + createBufferStrategy(2); + strategy = getBufferStrategy(); + + // create a new thread & start it + Thread t = new Thread(this); + t.start(); + + // adding mouse listener + addMouseListener(this); + + isGraphicsInitialised = true; + } + + // entry point of the application + public static void main(String[] args) { + GameOfLife game = new GameOfLife(); + } + + public void run() { + while (true) { + // repainting + try { + this.repaint(); + Thread.sleep(20); + } catch (InterruptedException e) { + e.printStackTrace(); + } + } + } + + // application's paint method + public void paint(Graphics g) { + // making sure that the graphics are initialised before painting + if (isGraphicsInitialised) { + g = strategy.getDrawGraphics(); + + // draw a white rectangle on the whole canvas + g.setColor(Color.WHITE); + g.fillRect(0, 0, 800, 800); + + // looping through the gameState array + for (int i = 0; i < 40; i++) { + for (int j = 0; j < 40; j++) { + + // drawing a black square if true + if (gameState[i][j]) { + g.setColor(Color.BLACK); + g.fillRect(i * 20, j * 20, 20, 20); + } + } + } + + strategy.show(); + } + } + + public void mousePressed(MouseEvent e) { } + public void mouseReleased(MouseEvent e) { } + public void mouseEntered(MouseEvent e) { } + public void mouseExited(MouseEvent e) { } + + // mouse click event + public void mouseClicked(MouseEvent e) { + // setting boolean corresponding to the square that was clicked to true + gameState[(int) Math.floor(e.getX() / 20)][(int) Math.floor(e.getY() / 20)] = true; + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-06/Week6_Solution.pdf b/second/semester2/CT255/Assignments/Assigment-06/Week6_Solution.pdf new file mode 100644 index 00000000..bd873c26 Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-06/Week6_Solution.pdf differ diff --git a/second/semester2/CT255/Assignments/Assigment-07/GameOfLife.java b/second/semester2/CT255/Assignments/Assigment-07/GameOfLife.java new file mode 100644 index 00000000..887ab3c3 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-07/GameOfLife.java @@ -0,0 +1,171 @@ +import java.awt.*; +import java.awt.event.*; +import java.awt.image.*; +import javax.swing.*; +import java.util.*; + +public class GameOfLife extends JFrame implements Runnable, MouseListener { + private static final Dimension WindowSize = new Dimension(800, 800); + private BufferStrategy strategy; + private static boolean isGraphicsInitialised = false; + private boolean gameState[][][] = new boolean[40][40][2]; + private static boolean isPlaying = false; + + public GameOfLife() { + setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); + + // display the window. centred on the screen + Dimension screensize = java.awt.Toolkit.getDefaultToolkit().getScreenSize(); + int x = screensize.width/2 - WindowSize.width/2; int y = screensize.height/2 - WindowSize.height/2; + setBounds(x, y, WindowSize.width, WindowSize.height); + setVisible(true); + + createBufferStrategy(2); + strategy = getBufferStrategy(); + + // create a new thread & start it + Thread t = new Thread(this); + t.start(); + + // adding mouse listener + addMouseListener(this); + + isGraphicsInitialised = true; + } + + // entry point of the application + public static void main(String[] args) { + GameOfLife game = new GameOfLife(); + } + + public void run() { + while (true) { + // repainting + try { + this.repaint(); + Thread.sleep(200); + } catch (InterruptedException e) { + e.printStackTrace(); + } + } + } + + // application's paint method + public void paint(Graphics g) { + // making sure that the graphics are initialised before painting + if (isGraphicsInitialised) { + g = strategy.getDrawGraphics(); + + // draw a white rectangle on the whole canvas + g.setColor(Color.BLACK); + g.fillRect(0, 0, WindowSize.width, WindowSize.height); + + // looping through the gameState array + for (int i = 0; i < 40; i++) { + for (int j = 0; j < 40; j++) { + + // drawing a white square if true + if (gameState[i][j][0]) { + g.setColor(Color.WHITE); + g.fillRect(i * 20, j * 20, 20, 20); + } + } + } + + if (isPlaying) { + for (int x = 0; x < 40; x++) { + for (int y = 0; y < 40; y++) { + // count the live neighbours of cell [x][y][0] + int numLiveNeighbours = 0; + + for (int xx = -1 ; xx <= 1; xx++) { + for (int yy = -1; yy <= 1; yy++) { + if (xx != 0 || yy != 0) { + // check cell [x+xx][y+yy][0] + // if x+xx or y+yy is out of bounds, getting the inverse of it modulo 40 + int newX = (x+xx >= 0) ? (x+xx) % 40 : 40 + x+xx; + int newY = (y+yy >= 0) ? (y+yy) % 40 : 40 + y+yy; + + if (gameState[newX][newY][0]) { + numLiveNeighbours++; + } + } + } + } + + // killing the cell if it is alive and has fewer than two live neighbours or greater than 3 live neighbours + if (gameState[x][y][0] && (numLiveNeighbours < 2 || numLiveNeighbours > 3)) { + gameState[x][y][1] = false; + } + // bringing the cell back to life it is dead and has exactly 3 live neighbours + else if (!gameState[x][y][0] && numLiveNeighbours == 3) { + gameState[x][y][1] = true; + } + } + } + + // making the "front buffer" equal to the "back buffer" + for (int x = 0; x < 40; x++) { + for (int y = 0; y < 40; y++) { + gameState[x][y][0] = gameState[x][y][1]; + } + } + } + // if the game is not being played, drawing the buttons + else { + Font f = new Font("Times", Font.PLAIN, 12); + g.setFont(f); + FontMetrics fm = getFontMetrics(f); + + // drawing the two buttons + g.setColor(Color.GREEN); + + g.fillRect(20, 20, 60, 20); + g.fillRect(100, 20, 60, 20); + + g.setColor(Color.BLACK); + g.drawString("Start", 35, 35); + g.drawString("Random", 105, 35); + } + + strategy.show(); + } + } + + public void mousePressed(MouseEvent e) { } + public void mouseReleased(MouseEvent e) { } + public void mouseEntered(MouseEvent e) { } + public void mouseExited(MouseEvent e) { } + + // mouse click event + public void mouseClicked(MouseEvent e) { + // if (!isPlaying) { + // if start button was pressed, switching to the playing game state + if ((e.getX() >= 20 && e.getX() <= 80) && (e.getY() >= 20 && e.getY() <= 40)) { + isPlaying = true; + } + // else if the random button was pressed, calling the random method + else if ((e.getX() >= 100 && e.getX() <= 160) && (e.getY() >= 20 && e.getY() <= 40)) { + random(); + } + // else, setting the clicked square to true (white) + else { + // setting boolean corresponding to the square that was clicked to true + gameState[(int) Math.floor(e.getX() / 20)][(int) Math.floor(e.getY() / 20)][0] = true; + } + // } + } + + // method to generate a random starting state + public void random() { + // looping through the gameState array + for (int i = 0; i < 40; i++) { + for (int j = 0; j < 40; j++) { + // setting the square to alive with a probability of 1 in 10 + if (((int) (Math.random() * 10)) == 1) { + gameState[i][j][0] = true; + } + } + } + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-07/Week7_Solution.pdf b/second/semester2/CT255/Assignments/Assigment-07/Week7_Solution.pdf new file mode 100644 index 00000000..ecaa345f Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-07/Week7_Solution.pdf differ diff --git a/second/semester2/CT255/Assignments/Assigment-08/GameOfLife.java b/second/semester2/CT255/Assignments/Assigment-08/GameOfLife.java new file mode 100644 index 00000000..c324f6db --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-08/GameOfLife.java @@ -0,0 +1,256 @@ +import java.awt.*; +import java.awt.event.*; +import java.awt.image.*; +import javax.swing.*; +import java.util.*; +import java.io.*; + +public class GameOfLife extends JFrame implements Runnable, MouseListener, MouseMotionListener { + private static String workingDirectory = System.getProperty("user.dir"); + private static final Dimension WindowSize = new Dimension(800, 800); + private BufferStrategy strategy; + private static boolean isGraphicsInitialised = false; + private boolean gameState[][][] = new boolean[40][40][2]; + private static boolean isPlaying = false; + + public GameOfLife() { + setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); + + // display the window. centred on the screen + Dimension screensize = java.awt.Toolkit.getDefaultToolkit().getScreenSize(); + int x = screensize.width/2 - WindowSize.width/2; int y = screensize.height/2 - WindowSize.height/2; + setBounds(x, y, WindowSize.width, WindowSize.height); + setVisible(true); + + createBufferStrategy(2); + strategy = getBufferStrategy(); + + // create a new thread & start it + Thread t = new Thread(this); + t.start(); + + // adding mouse listener + addMouseListener(this); + addMouseMotionListener(this); + + isGraphicsInitialised = true; + } + + // entry point of the application + public static void main(String[] args) { + GameOfLife game = new GameOfLife(); + } + + public void run() { + while (true) { + // repainting + try { + this.repaint(); + Thread.sleep(200); + } catch (InterruptedException e) { + e.printStackTrace(); + } + } + } + + // application's paint method + public void paint(Graphics g) { + // making sure that the graphics are initialised before painting + if (isGraphicsInitialised) { + g = strategy.getDrawGraphics(); + + // draw a white rectangle on the whole canvas + g.setColor(Color.BLACK); + g.fillRect(0, 0, WindowSize.width, WindowSize.height); + + // looping through the gameState array + for (int i = 0; i < 40; i++) { + for (int j = 0; j < 40; j++) { + + // drawing a white square if true + if (gameState[i][j][0]) { + g.setColor(Color.WHITE); + g.fillRect(i * 20, j * 20, 20, 20); + } + } + } + + if (isPlaying) { + for (int x = 0; x < 40; x++) { + for (int y = 0; y < 40; y++) { + // count the live neighbours of cell [x][y][0] + int numLiveNeighbours = 0; + + for (int xx = -1 ; xx <= 1; xx++) { + for (int yy = -1; yy <= 1; yy++) { + if (xx != 0 || yy != 0) { + // check cell [x+xx][y+yy][0] + // if x+xx or y+yy is out of bounds, getting the inverse of it modulo 40 + int newX = (x+xx >= 0) ? (x+xx) % 40 : 40 + x+xx; + int newY = (y+yy >= 0) ? (y+yy) % 40 : 40 + y+yy; + + if (gameState[newX][newY][0]) { + numLiveNeighbours++; + } + } + } + } + + // killing the cell if it is alive and has fewer than two live neighbours or greater than 3 live neighbours + if (gameState[x][y][0] && (numLiveNeighbours < 2 || numLiveNeighbours > 3)) { + gameState[x][y][1] = false; + } + // bringing the cell back to life it is dead and has exactly 3 live neighbours + else if (!gameState[x][y][0] && numLiveNeighbours == 3) { + gameState[x][y][1] = true; + } + } + } + + // making the "front buffer" equal to the "back buffer" + for (int x = 0; x < 40; x++) { + for (int y = 0; y < 40; y++) { + gameState[x][y][0] = gameState[x][y][1]; + } + } + } + // if the game is not being played, drawing the buttons + else { + Font f = new Font("Times", Font.PLAIN, 12); + g.setFont(f); + FontMetrics fm = getFontMetrics(f); + + // drawing the two buttons + g.setColor(Color.GREEN); + + g.fillRect( 20, 20, 60, 20); + g.fillRect(100, 20, 60, 20); + g.fillRect(180, 20, 60, 20); + g.fillRect(260, 20, 60, 20); + + g.setColor(Color.BLACK); + g.drawString("Start", 35, 35); + g.drawString("Random", 105, 35); + g.drawString("Save", 185, 35); + g.drawString("Load", 265, 35); + } + + strategy.show(); + } + } + + public void mousePressed(MouseEvent e) { } + public void mouseReleased(MouseEvent e) { } + public void mouseEntered(MouseEvent e) { } + public void mouseExited(MouseEvent e) { } + public void mouseMoved(MouseEvent e) { } + + public void mouseDragged(MouseEvent e) { + // checking that index is in bounds before drawing + if (e.getX() < 800 && e.getX() >= 0 && e.getY() < 800 && e.getY() >= 0) { + gameState[(int) Math.floor(e.getX() / 20)][(int) Math.floor(e.getY() / 20)][0] = true; + } + } + + // mouse click event + public void mouseClicked(MouseEvent e) { + // if (!isPlaying) { + // if start button was pressed, switching to the playing game state + if ((e.getX() >= 20 && e.getX() <= 80) && (e.getY() >= 20 && e.getY() <= 40)) { + isPlaying = true; + } + // else if the random button was pressed, calling the random method + else if ((e.getX() >= 100 && e.getX() <= 160) && (e.getY() >= 20 && e.getY() <= 40)) { + random(); + } + // else if the save button was clicked + else if ((e.getX() >= 180 && e.getX() <= 240) && (e.getY() >= 20 && e.getY() <= 40)) { + save(); + } + // else if the load button was clicked + else if ((e.getX() >= 260 && e.getX() <= 320) && (e.getY() >= 20 && e.getY() <= 40)) { + load(); + } + // else, setting the clicked square to true (white) + else { + // setting boolean corresponding to the square that was clicked to true + gameState[(int) Math.floor(e.getX() / 20)][(int) Math.floor(e.getY() / 20)][0] = true; + } + // } + } + + // method to generate a random starting state + public void random() { + // looping through the gameState array + for (int i = 0; i < 40; i++) { + for (int j = 0; j < 40; j++) { + // setting the square to alive with a probability of 1 in 10 + if (((int) (Math.random() * 10)) == 1) { + gameState[i][j][0] = true; + } + } + } + } + + // method to save the gamestate to a txt file + public void save() { + // string that will be written to the file + StringBuilder output = new StringBuilder(); + + // looping through each index in the array + for (int i = 0; i < 40; i++) { + for (int j = 0; j < 40; j++) { + // appending a 1 if true, 0 if false + if (gameState[i][j][0]) { + output.append("1"); + } + else { + output.append("0"); + } + } + } + + // writing the string to the file + String filename = workingDirectory + "/gamestate.txt"; + try { + BufferedWriter writer = new BufferedWriter(new FileWriter(filename)); + writer.write(output.toString()); + writer.close(); + } + catch (IOException e) {} + } + + // method to load the gamestate from a txt file + public void load() { + String filename = workingDirectory + "/gamestate.txt"; + String loadedtext = ""; + String line = null; + + try { + BufferedReader reader = new BufferedReader(new FileReader(filename)); + do { + try { + line = reader.readLine(); + + // appending to loadedtext if not null + if (line != null) { + loadedtext += line; + } + } catch (IOException e) {} + } while (line != null); + } catch (IOException e) {} + + // looping through each element of the front buffer and assigning true or false if the next char is 1 or 0 + for (int i = 0; i < 40; i++) { + for (int j = 0; j < 40; j++) { + // getting the character that corresponds to the index of the array + if (loadedtext.charAt(40*i + j) == '1') { + gameState[i][j][0] = true; + } + else { + gameState[i][j][0] = false; + } + } + } + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-08/Week8_Solution.pdf b/second/semester2/CT255/Assignments/Assigment-08/Week8_Solution.pdf new file mode 100644 index 00000000..0fe0be8e Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-08/Week8_Solution.pdf differ diff --git a/second/semester2/CT255/Assignments/Assigment-08/gamestate.txt b/second/semester2/CT255/Assignments/Assigment-08/gamestate.txt new file mode 100644 index 00000000..85b13a1c --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-08/gamestate.txt @@ -0,0 +1 @@ +0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000001100000000000000000000000000000000000011100000000000000000000000000000000001110000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000011111000000000000000000000000000000000001000100000000000000000000000000000000001100010000000000000000000000000000011111110001000000000000000000000000000011000000101100000000000000000000000000011000000011000000000000000000000000000001000000001110000000000000000000000000000100000001101000000000000000000000000000001110001100100000000000000000000000000000001111100110000000000000000000000000000000000011110000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 \ No newline at end of file diff --git a/second/semester2/CT255/Assignments/Assigment-09/AStarMaze.java b/second/semester2/CT255/Assignments/Assigment-09/AStarMaze.java new file mode 100644 index 00000000..24e81960 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-09/AStarMaze.java @@ -0,0 +1,273 @@ +import java.awt.*; +import java.awt.event.*; +import javax.swing.*; +import java.awt.image.*; +import java.io.*; + +public class AStarMaze extends JFrame implements Runnable, MouseListener, MouseMotionListener, KeyListener { + + // member data + private static final Dimension WindowSize = new Dimension(800, 800); + private boolean isInitialised = false; + private BufferStrategy strategy; + private Graphics offscreenBuffer; + private static boolean map[][] = new boolean[40][40]; + private boolean isGameRunning = false; + private BadGuy badguy; + private Player player; + + private String FilePath; + + // constructor + public AStarMaze() { + setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); + + //Display the window, centred on the screen + Dimension screensize = java.awt.Toolkit.getDefaultToolkit().getScreenSize(); + int x = screensize.width/2 - WindowSize.width/2; int y = screensize.height/2 - WindowSize.height/2; + setBounds(x, y, WindowSize.width, WindowSize.height); + setVisible(true); + this.setTitle("A* Pathfinding Demo"); + + FilePath = System.getProperty("user.dir") + "/"; + + // load raster graphics and instantiate game objects + ImageIcon icon = new ImageIcon(FilePath+"badguy.png"); + Image img = icon.getImage(); + badguy = new BadGuy(img); + icon = new ImageIcon(FilePath+"player.png"); + img = icon.getImage(); + player = new Player(img); + + // initialise double-buffering + createBufferStrategy(2); + strategy = getBufferStrategy(); + + // create and start our animation thread + Thread t = new Thread(this); + t.start(); + + // register the Jframe itself to receive mouse and keyboard events + addMouseListener(this); + addMouseMotionListener(this); + addKeyListener(this); + + // initialise the map state + for (x=0;x<40;x++) { + for (y=0;y<40;y++) { + map[x][y]=false; + } + } + + isInitialised = true; + } + + // thread's entry point + public void run() { + long loops = 0; + + while (true) { + // 1: sleep for 1/5 sec + try { + Thread.sleep(200); + } catch (InterruptedException e) { } + + // 2: animate game objects + if (isGameRunning) { + loops++; + player.move(map); // player moves every frame + + // recalculating the badguys path every move, highly inefficient but easier to program lol + badguy.reCalcPath(map, player.x, player.y); + + if (loops%10==0) // badguy moves once every 3 frames + badguy.move(map,player.x,player.y); + } + + // 3: force an application repaint + this.repaint(); + + } + } + + private void loadMaze() { + String filename = FilePath+"maze.txt"; + String textinput = null; + try { + BufferedReader reader = new BufferedReader(new FileReader(filename)); + textinput = reader.readLine(); + reader.close(); + } + catch (IOException e) { } + + if (textinput!=null) { + for (int x=0;x<40;x++) { + for (int y=0;y<40;y++) { + map[x][y] = (textinput.charAt(x*40+y)=='1'); + } + } + } + } + + private void saveMaze() { + // pack maze into a string + String outputtext=""; + for (int x=0;x<40;x++) { + for (int y=0;y<40;y++) { + if (map[x][y]) + outputtext+="1"; + else + outputtext+="0"; + } + } + + try { + String filename = FilePath+"maze.txt"; + BufferedWriter writer = new BufferedWriter(new FileWriter(filename)); + writer.write(outputtext); + writer.close(); + } + catch (IOException e) { } + } + + // mouse events which must be implemented for MouseListener + public void mousePressed(MouseEvent e) { + if (!isGameRunning) { + // was the click on the 'start button'? + int x = e.getX(); + int y = e.getY(); + if (x>=15 && x<=85 && y>=40 && y<=70) { + isGameRunning=true; + return; + } + // or the 'load' button? + if (x>=315 && x<=385 && y>=40 && y<=70) { + loadMaze(); + return; + } + // or the 'save' button? + if (x>=415 && x<=485 && y>=40 && y<=70) { + saveMaze(); + return; + } + } + + // determine which cell of the gameState array was clicked on + int x = e.getX()/20; + int y = e.getY()/20; + // toggle the state of the cell + map[x][y] = !map[x][y]; + // throw an extra repaint, to get immediate visual feedback + this.repaint(); + // store mouse position so that each tiny drag doesn't toggle the cell + // (see mouseDragged method below) + prevx=x; + prevy=y; + } + + public void mouseReleased(MouseEvent e) {} + + public void mouseEntered(MouseEvent e) {} + + public void mouseExited(MouseEvent e) {} + + public void mouseClicked(MouseEvent e) {} + // + + // mouse events which must be implemented for MouseMotionListener + public void mouseMoved(MouseEvent e) {} + + // mouse position on previous mouseDragged event + // must be member variables for lifetime reasons + int prevx=-1, prevy=-1; + public void mouseDragged(MouseEvent e) { + // determine which cell of the gameState array was clicked on + // and make sure it has changed since the last mouseDragged event + if (e.getX() < 800 && e.getX() >= 0 && e.getY() < 800 && e.getY() >= 0) { + int x = e.getX()/20; + int y = e.getY()/20; + if (x!=prevx || y!=prevy) { + // toggle the state of the cell + map[x][y] = !map[x][y]; + // throw an extra repaint, to get immediate visual feedback + this.repaint(); + // store mouse position so that each tiny drag doesn't toggle the cell + prevx=x; + prevy=y; + } + } + badguy.reCalcPath(map, player.x, player.y); + } + + // Keyboard events + public void keyPressed(KeyEvent e) { + if (e.getKeyCode()==KeyEvent.VK_LEFT) + player.setXSpeed(-1); + else if (e.getKeyCode()==KeyEvent.VK_RIGHT) + player.setXSpeed(1); + else if (e.getKeyCode()==KeyEvent.VK_UP) + player.setYSpeed(-1); + else if (e.getKeyCode()==KeyEvent.VK_DOWN) + player.setYSpeed(1); + } + + public void keyReleased(KeyEvent e) { + if (e.getKeyCode()==KeyEvent.VK_LEFT || e.getKeyCode()==KeyEvent.VK_RIGHT) + player.setXSpeed(0); + else if (e.getKeyCode()==KeyEvent.VK_UP || e.getKeyCode()==KeyEvent.VK_DOWN) + player.setYSpeed(0); + } + + public void keyTyped(KeyEvent e) { } + + // application's paint method + public void paint(Graphics g) { + if (!isInitialised) + return; + + // g = offscreenBuffer; // draw to offscreen buffer + g = strategy.getDrawGraphics(); + + // clear the canvas with a big black rectangle + g.setColor(Color.BLACK); + g.fillRect(0, 0, 800, 800); + + // redraw the map + g.setColor(Color.WHITE); + for (int x=0;x<40;x++) { + for (int y=0;y<40;y++) { + if (map[x][y]) { + g.fillRect(x*20, y*20, 20, 20); + } + } + } + // redraw the player and badguy + // paint the game objects + player.paint(g); + badguy.paint(g); + + if (!isGameRunning) { + // game is not running.. + // draw a 'start button' as a rectangle with text on top + // also draw 'load' and 'save' buttons + g.setColor(Color.GREEN); + g.fillRect(15, 40, 70, 30); + g.fillRect(315, 40, 70, 30); + g.fillRect(415, 40, 70, 30); + g.setFont(new Font("Times", Font.PLAIN, 24)); + g.setColor(Color.BLACK); + g.drawString("Start", 22, 62); + g.drawString("Load", 322, 62); + g.drawString("Save", 422, 62); + } + + // flip the buffers + strategy.show(); + } + + // application entry point + public static void main(String[] args) { + AStarMaze w = new AStarMaze(); + } + +} diff --git a/second/semester2/CT255/Assignments/Assigment-09/BadGuy.java b/second/semester2/CT255/Assignments/Assigment-09/BadGuy.java new file mode 100644 index 00000000..58b5be51 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-09/BadGuy.java @@ -0,0 +1,298 @@ +import java.awt.*; +import java.util.*; + +public class BadGuy { + /* list of nodes to which the algorithm has already found a route (i.e., one of its conencted neighbours has been expanded) + * but have not themselves been expanded */ + LinkedList openlist = new LinkedList(); + + // list of nodes that have been expanded and which therefore should not be revisited + LinkedList closedlist = new LinkedList(); + + Node[][] allnodes = new Node[40][40] ; // array of all the nodes + + Stack finalpath = new Stack(); + + Image myImage; + int x=0,y=0; + boolean hasPath=false; + + public BadGuy( Image i ) { + myImage=i; + x = 30; + y = 10; + } + + public void reCalcPath(boolean map[][],int targx, int targy) { + System.out.println(); + System.out.println("recalculating path"); + hasPath = false; + openlist.clear(); + closedlist.clear(); + finalpath.clear(); + + // looping through map[][], generating each node, and marking each wall node as closed + for (int i = 0; i < 40; i++) { + for (int j = 0; j < 40; j++) { + allnodes[i][j] = new Node(i, j); // generating node + + if (map[i][j]) { + allnodes[i][j].closed = true; + allnodes[i][j].open = false; + + closedlist.add(allnodes[i][j]); + } + } + } + + // calculate f,g,h for the starting node and set to open + Node starting = allnodes[x][y]; + starting.g = 0; + starting.h = targx - x + targy - y; // manhattan distance + starting.f = starting.g + starting.h; + starting.open = true; + starting.closed = false; + openlist.add(starting); + + + // looping while a path has not been found + // end condition: if a neighbour is the target, or if there are no open nodes + while (!hasPath) { + // breaking if there are no open nodes + if (openlist.size() == 0) { + break; + } + + /* progress is made by identifying the most promising node in the open list (i.e., the one with lowest f value) and + * expanding it by adding each of its connected neighbours to the open list, unless they are already closed. */ + + // looping through open list to find most promising node + Node mostpromising = openlist.get(0); + for (int i = 1; i < openlist.size(); i++) { + if (openlist.get(i).f < mostpromising.f) { + mostpromising = openlist.get(i); + } + } + + int mx = mostpromising.x; + int my = mostpromising.y; + + // expanding the most promising node by adding each of its connected neighbours to the open list, unless they are already closed + // as nodes are added to the open list, their f, g, h, & parent values are recorded + // the g value of a node is equal to the g value of its parent + the cost of moving from the parent to the node itself. t + + // as nodes are expanded, they are moved to the closed list + mostpromising.open = false; + mostpromising.closed = true; + closedlist.add(mostpromising); + // openlist.remove(mostpromising); + + // northwest neighbour + if (mx-1 >= 0 && my-1 >= 0 && !allnodes[mx-1][my-1].closed) { + // checking if this node is the target node, and breaking if so + if (mx-1 == targx && my-1 == targy) { + allnodes[mx-1][my-1].open = true; + allnodes[mx-1][my-1].closed = false; + closedlist.remove(allnodes[mx-1][my-1]); + openlist.add(allnodes[mx-1][my-1]); + break; + } + + if (!allnodes[mx-1][my-1].open) { + allnodes[mx-1][my-1].g = mostpromising.g + 1; + allnodes[mx-1][my-1].h = targx - mx + targy - my; + allnodes[mx-1][my-1].f = allnodes[mx-1][my-1].g + allnodes[mx-1][my-1].h; + allnodes[mx-1][my-1].open = true; + allnodes[mx-1][my-1].closed = false; + openlist.add(allnodes[mx-1][my-1]); + } + } + + // north neighbour + if (my-1 >= 0 && !allnodes[mx][my-1].closed) { + // checking if this node is the target node, and breaking if so + if (mx == targx && my-1 == targy) { + allnodes[mx][my-1].open = true; + allnodes[mx][my-1].closed = false; + closedlist.remove(allnodes[mx][my-1]); + openlist.add(allnodes[mx][my-1]); + break; + } + + if (!allnodes[mx][my-1].open) { + allnodes[mx][my-1].g = mostpromising.g + 1; + allnodes[mx][my-1].h = targx - mx + targy - my; + allnodes[mx][my-1].f = allnodes[mx][my-1].g + allnodes[mx][my-1].h; + allnodes[mx][my-1].open = true; + allnodes[mx][my-1].closed = false; + openlist.add(allnodes[mx][my-1]); + } + } + + // northeast neighbour + if (mx+1 < 40 && my-1 >= 0 && !allnodes[mx+1][my-1].closed) { + // checking if this node is the target node, and breaking if so + if (mx+1 == targx && my-1 == targy) { + allnodes[mx+1][my-1].open = true; + allnodes[mx+1][my-1].closed = false; + closedlist.remove(allnodes[mx+1][my-1]); + openlist.add(allnodes[mx+1][my-1]); + break; + } + + if (!allnodes[mx+1][my-1].open && !allnodes[mx+1][my-1].closed) { + allnodes[mx+1][my-1].g = mostpromising.g + 1; + allnodes[mx+1][my-1].h = targx - mx+1 + targy - my; + allnodes[mx+1][my-1].f = allnodes[mx+1][my-1].g + allnodes[mx+1][my-1].h; + allnodes[mx+1][my-1].open = true; + allnodes[mx+1][my-1].closed = false; + openlist.add(allnodes[mx+1][my-1]); + } + } + + // west neighbour + if (mx-1 >= 0 && !allnodes[mx-1][my].closed) { + // checking if this node is the target node, and breaking if so + if (mx-1 == targx && my == targy) { + allnodes[mx-1][my].open = true; + allnodes[mx-1][my].closed = false; + closedlist.remove(allnodes[mx-1][my]); + openlist.add(allnodes[mx-1][my]); + break; + } + + if (!allnodes[mx-1][my].open && !allnodes[mx-1][my].closed) { + allnodes[mx-1][my].g = mostpromising.g + 1; + allnodes[mx-1][my].h = targx - mx + targy - my; + allnodes[mx-1][my].f = allnodes[mx-1][my].g + allnodes[mx-1][my].h; + allnodes[mx-1][my].open = true; + allnodes[mx-1][my].closed = false; + openlist.add(allnodes[mx-1][my]); + } + } + + // east neighbour + if (mx+1 < 40 && !allnodes[mx+1][my].closed) { + // checking if this node is the target node, and breaking if so + if (mx+1 == targx && my == targy) { + allnodes[mx+1][my].open = true; + allnodes[mx+1][my].closed = false; + closedlist.remove(allnodes[mx+1][my]); + openlist.add(allnodes[mx+1][my]); + break; + } + + if (!allnodes[mx+1][my].open) { + allnodes[mx+1][my].g = mostpromising.g + 1; + allnodes[mx+1][my].h = targx - mx+1 + targy - my; + allnodes[mx+1][my].f = allnodes[mx+1][my].g + allnodes[mx+1][my].h; + allnodes[mx+1][my].open = true; + allnodes[mx+1][my].closed = false; + openlist.add(allnodes[mx+1][my]); + } + } + + // southwest neighbour + if (mx-1 >= 0 && my+1 < 40 && !allnodes[mx-1][my+1].closed) { + // checking if this node is the target node, and breaking if so + if (mx-1 == targx && my+1 == targy) { + allnodes[mx-1][my+1].open = true; + allnodes[mx-1][my+1].closed = false; + closedlist.remove(allnodes[mx-1][my+1]); + openlist.add(allnodes[mx-1][my+1]); + break; + } + + if (!allnodes[mx-1][my+1].open) { + allnodes[mx-1][my+1].g = mostpromising.g + 1; + allnodes[mx-1][my+1].h = targx - mx + targy - my; + allnodes[mx-1][my+1].f = allnodes[mx-1][my+1].g + allnodes[mx-1][my+1].h; + allnodes[mx-1][my+1].open = true; + allnodes[mx-1][my+1].closed = false; + openlist.add(allnodes[mx-1][my+1]); + } + } + + // south neighbour + if (my+1 < 40 && !allnodes[mx][my+1].closed) { + // checking if this node is the target node, and breaking if so + if (mx == targx && my+1 == targy) { + allnodes[mx][my+1].open = true; + allnodes[mx][my+1].closed = false; + closedlist.remove(allnodes[mx][my+1]); + openlist.add(allnodes[mx][my+1]); + break; + } + + if (!allnodes[mx][my+1].open) { + allnodes[mx][my+1].g = mostpromising.g + 1; + allnodes[mx][my+1].h = targx - mx + targy - my; + allnodes[mx][my+1].f = allnodes[mx][my+1].g + allnodes[mx][my+1].h; + allnodes[mx][my+1].open = true; + allnodes[mx][my+1].closed = false; + openlist.add(allnodes[mx][my+1]); + } + } + + // southeast neighbour + if (mx+1 < 40 && my+1 < 40 && !allnodes[mx+1][my+1].closed) { + // checking if this node is the target node, and breaking if so + if (mx+1 == targx && my+1 == targy) { + allnodes[mx+1][my+1].open = true; + allnodes[mx+1][my+1].closed = false; + closedlist.remove(allnodes[mx+1][my+1]); + openlist.add(allnodes[mx+1][my+1]); + break; + } + + if (!allnodes[mx+1][my+1].open) { + allnodes[mx+1][my+1].g = mostpromising.g + 1; + allnodes[mx+1][my+1].h = targx - mx+1 + targy - my; + allnodes[mx+1][my+1].f = allnodes[mx+1][my+1].g + allnodes[mx+1][my+1].h; + allnodes[mx+1][my+1].open = true; + allnodes[mx+1][my+1].closed = false; + openlist.add(allnodes[mx+1][my+1]); + } + } + } + + // generate final path by pushing target onto stack, followed by its parent in closedlist, ..., followed by start node + + for (int i = openlist.size()-1; i >= 0; i--) { + System.out.println("pushing x=" + openlist.get(i).x + " y =" + openlist.get(i).y); + finalpath.push(openlist.get(i)); + } + + hasPath = true; + return; + } + + public void move(boolean map[][],int targx, int targy) { + if (hasPath) { + Node nextnode = finalpath.pop(); + System.out.println("next node x=" + nextnode.x + " y=" + nextnode.y); + x = nextnode.x; + y = nextnode.y; + } + else { + // no path known, so just do a dumb 'run towards' behaviour + int newx=x, newy=y; + if (targxx) + newx++; + if (targyy) + newy++; + if ((newx < 40 && newx >= 0 && newy < 40 && newy >=0) && !map[newx][newy]) { + x=newx; + y=newy; + } + } + } + + public void paint(Graphics g) { + g.drawImage(myImage, x*20, y*20, null); + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-09/Node.java b/second/semester2/CT255/Assignments/Assigment-09/Node.java new file mode 100644 index 00000000..aed3b31c --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-09/Node.java @@ -0,0 +1,15 @@ +public class Node { + public int x; + public int y; + + public int g; // cost of getting from the starting node to this node + public int h; // estimated heuristic cost of getting from this node to the target node + public int f; // sum of g & h, the algorithm's best current estimate as to the total cost of travelling from the starting location to the target location via this node + public boolean closed = false; + public boolean open = false; + + public Node(int x, int y) { + this.x = x; + this.y = y; + } +} diff --git a/second/semester2/CT255/Assignments/Assigment-09/Player.java b/second/semester2/CT255/Assignments/Assigment-09/Player.java new file mode 100644 index 00000000..6c59f40c --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-09/Player.java @@ -0,0 +1,42 @@ + +import java.awt.Graphics; +import java.awt.Image; + + +public class Player { + + Image myImage; + int x=0,y=0; + int xSpeed=0, ySpeed=0; + + public Player( Image i ) { + myImage=i; + x=10; + y=35; + } + + public void setXSpeed( int x ) { + xSpeed=x; + } + + public void setYSpeed( int y ) { + ySpeed=y; + } + + public void move(boolean map[][]) { + int newx=x+xSpeed; + int newy=y+ySpeed; + + // making sure that the newx & newy are not off the map or blocked + // if (e.getX() < 800 && e.getX() >= 0 && e.getY() < 800 && e.getY() >= 0) { + if ((newx < 40 && newx >= 0 && newy < 40 && newy >=0) && !map[newx][newy]) { + x=newx; + y=newy; + } + } + + public void paint(Graphics g) { + g.drawImage(myImage, x*20, y*20, null); + } + +} diff --git a/second/semester2/CT255/Assignments/Assigment-09/Week9-AStar_Solution.pdf b/second/semester2/CT255/Assignments/Assigment-09/Week9-AStar_Solution.pdf new file mode 100644 index 00000000..1b46f45c Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-09/Week9-AStar_Solution.pdf differ diff --git a/second/semester2/CT255/Assignments/Assigment-09/badguy.png b/second/semester2/CT255/Assignments/Assigment-09/badguy.png new file mode 100644 index 00000000..23e01fc0 Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-09/badguy.png differ diff --git a/second/semester2/CT255/Assignments/Assigment-09/maze.txt b/second/semester2/CT255/Assignments/Assigment-09/maze.txt new file mode 100644 index 00000000..298ec3ab --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-09/maze.txt @@ -0,0 +1 @@ +0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000011000000000000000000000000000000000000001100000000000000000000000000000000000000110000000000000000000000000000000000000001000000000000000000000000000000000000000100000000000000000000000000000000000000010000000000000000000000000000000000000011000000000000000000000011111111111111111100000000000000000000000000000000000000110000000000000000000000000000000000000001000000000000000000000000000000000000000100000000000000000000000000000000000000010000000000000000000000000000000000000011000000000000000000000000000000000000001100000000000000000000000000000000000000110000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 \ No newline at end of file diff --git a/second/semester2/CT255/Assignments/Assigment-09/player.png b/second/semester2/CT255/Assignments/Assigment-09/player.png new file mode 100644 index 00000000..3a890ef5 Binary files /dev/null and b/second/semester2/CT255/Assignments/Assigment-09/player.png differ diff --git a/second/semester2/CT255/Assignments/Assigment-10/Cave.java b/second/semester2/CT255/Assignments/Assigment-10/Cave.java new file mode 100644 index 00000000..8cda3004 --- /dev/null +++ b/second/semester2/CT255/Assignments/Assigment-10/Cave.java @@ -0,0 +1,110 @@ +import java.awt.*; +import javax.swing.*; + +public class Cave extends JFrame implements Runnable { + private static final Dimension WindowSize = new Dimension(800, 800); + private static boolean isGraphicsInitialised = false; + private boolean map[][][] = new boolean[200][200][2]; + + public Cave() { + setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); + + // randomly deciding whether each position in the map is a wall (true) or floor (false) + for (int i = 0; i < 200; i++) { + for (int j = 0; j < 200; j++) { + // setting the square to wall with a probability of 60% + map[i][j][0] = Math.random() < 0.6; + } + } + + // display the window. centred on the screen + Dimension screensize = java.awt.Toolkit.getDefaultToolkit().getScreenSize(); + int x = screensize.width/2 - WindowSize.width/2; int y = screensize.height/2 - WindowSize.height/2; + setBounds(x, y, WindowSize.width, WindowSize.height); + setVisible(true); + + // create a new thread & start it + Thread t = new Thread(this); + t.start(); + + isGraphicsInitialised = true; + } + + public void run() { + if (isGraphicsInitialised) { + // looping 5 times to show the initial state also, but re-running the cave procedure 4 times + for (int i = 0; i <= 4; i++){ + // repainting + try { + this.repaint(); + Thread.sleep(2000); + } catch (InterruptedException e) { + e.printStackTrace(); + } + } + } + } + + public void paint (Graphics g) { + // draw a white rectangle on the whole canvas + g.setColor(Color.BLACK); + g.fillRect(0, 0, WindowSize.width, WindowSize.height); + + // looping through map and drawing a white square if floor (true) + for (int i = 0; i < 200; i++) { + for (int j = 0; j < 200; j++) { + // drawing a white square if true + if (map[i][j][0]) { + g.setColor(Color.WHITE); + g.fillRect(i * 4, j * 4, 4, 4); + } + } + } + + // looping through array to make clumping happen + for (int x = 0; x < 200; x++) { + for (int y = 0; y < 200; y++) { + // count the wall neighbours of cell [x][y] + int numWallNeighbours = 0; + + // looping through neighbour cells + for (int xx = -1 ; xx <= 1; xx++) { + for (int yy = -1; yy <= 1; yy++) { + if (xx != 0 || yy != 0) { + // check cell [x+xx][y+yy]() + // if x+xx or y+yy is out of bounds, getting the inverse of it modulo 200 + int newX = (x+xx >= 0) ? (x+xx) % 200 : 200 + x+xx; + int newY = (y+yy >= 0) ? (y+yy) % 200 : 200 + y+yy; + + // if the neighbour is a wall, increasing the count + if (map[newX][newY][0]) { + numWallNeighbours++; + } + } + } + } + + // defining each cell that has at least 5 neighbouring wall cells as a wall itself + if (numWallNeighbours >= 5) { + map[x][y][1] = true; + } + // otherwise defining it as a floor + else { + map[x][y][1] = false; + } + } + } + + // moving back buffer to front + for (int x = 0; x < 200; x++) { + for (int y = 0; y < 200; y++) { + map[x][y][0] = map[x][y][1]; + } + } + + } + + public static void main(String[] args) { + Cave cave = new Cave(); + } +} diff --git a/second/semester2/CT255/Notes/CT255-Notes.pdf b/second/semester2/CT255/Notes/CT255-Notes.pdf new file mode 100644 index 00000000..52372942 Binary files /dev/null and b/second/semester2/CT255/Notes/CT255-Notes.pdf differ diff --git a/second/semester2/CT255/Notes/CT255-Notes.tex b/second/semester2/CT255/Notes/CT255-Notes.tex new file mode 100644 index 00000000..2930592a --- /dev/null +++ b/second/semester2/CT255/Notes/CT255-Notes.tex @@ -0,0 +1,552 @@ +\documentclass[11pt]{article} + +\usepackage{report} + +\usepackage[utf8]{inputenc} % allow utf-8 input +\usepackage[T1]{fontenc} % use 8-bit T1 fonts +\usepackage[colorlinks=true, linkcolor=black, citecolor=blue, urlcolor=blue]{hyperref} % hyperlinks +\usepackage{url} % simple URL typesetting +\usepackage{booktabs} % professional-quality tables +\usepackage{amsfonts} % blackboard math symbols +\usepackage{nicefrac} % compact symbols for 1/2, etc. +\usepackage{microtype} % microtypography +\usepackage{lipsum} % Can be removed after putting your text content +\usepackage{graphicx} +\graphicspath{ {./images/} } +\usepackage{natbib} +\usepackage{doi} +\setcitestyle{aysep={,}} +\usepackage{array} + +\usepackage{listings} +\usepackage{xcolor} +\definecolor{codegreen}{rgb}{0,0.6,0} +\definecolor{codegray}{rgb}{0.5,0.5,0.5} +\definecolor{codeorange}{rgb}{1,0.49,0} +\definecolor{backcolour}{rgb}{0.95,0.95,0.96} + +\lstdefinestyle{mystyle}{ + backgroundcolor=\color{backcolour}, + commentstyle=\color{codegray}, + keywordstyle=\color{codeorange}, + numberstyle=\tiny\color{codegray}, + stringstyle=\color{codegreen}, + basicstyle=\ttfamily\footnotesize, + breakatwhitespace=false, + breaklines=true, + captionpos=b, + keepspaces=true, + numbers=left, + numbersep=5pt, + showspaces=false, + showstringspaces=false, + showtabs=false, + tabsize=2, + xleftmargin=10pt, +} + +\lstset{style=mystyle} + +\title{CT255 - Next Gen Technologies II} + +\author{Andrew Hayes\\ +\AND +Student ID: 21321503\\ +\AND +\AND +\AND +\AND + 2BCT\\ +\AND + University of Galway\\ +} + +% Uncomment to remove the date +\date{February 2022} + +% Uncomment to override the `A preprint' in the header +\renewcommand{\headeright}{2D Games Programming in Java} +\renewcommand{\undertitle}{2D Games Programming in Java} +\renewcommand{\shorttitle}{} + +%%% Add PDF metadata to help others organize their library +%%% Once the PDF is generated, you can check the metadata with +%%% $ pdfinfo template.pdf +% \hypersetup{ +% pdftitle={A template for the arxiv style}, +% pdfsubject={q-bio.NC, q-bio.QM}, +% pdfauthor={David S.~Hippocampus, Elias D.~Striatum}, +% pdfkeywords={First keyword, Second keyword, More}, +% } + +\begin{document} +\maketitle + +\newpage +\tableofcontents +\thispagestyle{empty} + + +\newpage +\setcounter{page}{1} +\section{Lecture 1} +\subsection{2D Co-Ordinate System} +The \textbf{JFrame} class will provide a Window with associated graphics canvas \& a pixel-based +co-ordinate system with the origin at (0,0) on the top \textbf(left). +A JFrame is a top-level window with a title \& a border. +To have access to JFrame and associated methods: +\\ +\verb|import java.awt.*;| \\ +\verb|import javax.swing.*;| + + +The top 50 pixels or so are hidden by the window's title bar (depending on the operating system). + +\subsection{Basic Graphics in Java} +2D graphics can be drawn using the \verb|Graphics| class. +This provides methods for drawing ``primitives'' (lines, circles, boxes) and also images (.jpg, .png, etc.). + +The \verb|paint()| method of the \verb|JFrame| class is automatically invoked whenever it needs to be +painted (system-invoked). +Otherwise, you can force painting to happen via \verb|repaint()| if you need to repaint when the OS +doesn't think that it's needed. + +\begin{lstlisting}[language=Java] + public void paint (Graphics g) { + // use the "g" object to draw graphics + } +\end{lstlisting} + +\subsection{Drawing Text using Methods of the Graphics Class} +\begin{lstlisting}[language=Java] + public void paint (Graphics g) { + Font f = new Font("Times", Font.PLAIN, 24); + g.setFont(f); + Color c = Color.BLACK; + g.setColor(c); + g.drawString("Pacman!", 20, 60); + } +\end{lstlisting}. + +This should be added as a method of the application class. + +\section{Lecture 2} +\subsection{Animation with Threads} + +\textbf{Animation} is the changing of grahics over time, e.g., moving a spaceship across the screen, changing its position by +one pixel every 0.02 seconds. + +One of the best ways to do periodic execution of code is to use \textbf{threads}. +Threads allow multiple taks to run independently/concurrently within a program. +Essentially, this means that we spawn a separate execution ``branch'' that operates independently of our program's main flow of control. +For example, the new thread could repeatedly sleep for 20ms, then carry out an animation, and call \verb|this.repaint()| on the application. + +\subsubsection{Implementing Threads in Java} +Your application class should implement the \verb|Runnable| interface, i.e.: +\begin{lstlisting}[language=Java] +public class MyApplication extends JFrame implements Runnable { +} +\end{lstlisting} + +Your application now \textbf{must} provide an implementation for the \verb|run()| method, which is executed when a thread is started, serving as its ``main'' function, i.e.: +\begin{lstlisting}[language=Java] +public void run(){ +} +\end{lstlisting} + +To create \& start a new thread running from your application class: +\begin{lstlisting}[language=Java] +Thread t = new Thread(this); +t.start(); +\end{lstlisting} + +The typical actions of an animation thread are as follows: +\begin{enumerate} + \item Sleep for (say) 20ms using \verb|Thread.sleep(20);|. Note that you will be \textbf{required} to handle \verb|InterruptedException|. + \item Carry out movement of game objects. + \item Call \verb|this.repaint();| which (indirectly) invokes our \verb|paint(Graphics g)| method. + \item Go back to Step 1. +\end{enumerate} + +\subsubsection{Threads Test} +\begin{lstlisting}[language=Java] +import java.awt.*; +import javax.swing.*; + +public class ThreadsTest implements Runnable { + public ThreadsTest() { + Thread t = new Thread(this); + t.start(); + } + + public void run() { + System.out.println("Thread started"); + + for (int i = 0; i < 15; i++) { + System.out.println("Loop " + i + "Start"); + try { + Thread.sleep(500); + } catch (InterruptedException e) { + // TODO Auto-generated catch block + e.printStackTrace(); + } + System.out.println("Loop " + i + " end"); + } + System.out.println("Thread ended"); + } + + public static void main(String[] args) { + ThreadsTest tt = new ThreadsTest(); + } +} +\end{lstlisting} + +\subsection{Game Object Classes} +Games typically have \textbf{game object classes} (spaceships, alines, cars, bullets, etc.). +Numerous instances of each may exist at runtime. +This class encapsulates the data (position, colour, etc.) and code (move, draw, die, etc.) associated with the game object. + +Typically, we store these instances in a data structure such as an array, so that during our animation \& painting phases we can iterated through them all and invoke the \verb|animate()| \& \verb|paint()| methods on each instance. + +\section{Lecture 03} +\subsection{Handling Keyboard Input} +In GUI-based languages such as Java (with AWT), the mouse \& keyboard are handled as ``\textbf{events}''. +These events may happen at any time. +Events are queued as they happen and are dealt with at the next free, idle time. +AWT handles events coming from the OS by dispatching them to \textit{listeners} registered to those events. + +To handle keyboard input: +\begin{enumerate} + \item Make a class that implements \verb|KeyListener|. Make sure that you have an instance of this class. + \item Add this instance as a key listener attached to the \verb|JFrame| that receives the messages from the OS. + The simplest way is to make your JFrame-derived class handle the events it receives itself. +\end{enumerate} + +\begin{lstlisting}[language=Java] +import java.awt.*; +import java.awt.event.*; +import javax.swing.*; + +public class MyApplication extends JFrame implements KeyListener { + public MyApplication() { + // send keyboard events arriving into this JFrame to its own event handlers. + addKeyListener(this); + } + + // 3 keyboard event handler functions + public void keyPressed(KeyEvent e) { + } + public void keyReleased(Event e) { + } + public void keyTyped(KeyEvent e) { + } +} +\end{lstlisting} + +Notes: +\begin{itemize} + \item The \verb|KeyEvent| parameter \verb|e| provides the ``virtual keycode'' of the key that has triggered the event, and constants are defined to match these values, e.g., \verb|KeyEvent.VK_Q| or \verb|KeyEvent.VK_ENTER|. + \item To get the keycode, use \verb|e.getKeyCode()|. + \item For our game applications, our application class will implement both \verb|KeyListener| \& \verb|Runnable|. + \item Note the extra import: \verb|import java.awt.event.*;|. +\end{itemize} + +\subsection{Loading \& Displaying Raster Images} +The constructor of the \verb|ImageIcon| class (defined in \verb|javax.swing| loads an image from disk (\verb|.jpg|. \verb|.gif|, or \verb|.png|) and returns it as a new instance of the \verb|ImageIcon| class. + +The \verb|getImage()| method of this \verb|ImageIcon| object gives you a useable \verb|Image| class object, which can be displayed in your \verb|paint()| method by the \verb|Graphics| class. + +\begin{lstlisting}[language=Java] +import java.awt.*; +import javax.swing.*; + +public class DisplayRasterImage extends JFrame { + // member data + private static String workingDirectory; + private Image alienImage; + + // constructor + public DisplayRasterImage() { + // set ip JFrame + setBounds(100, 100, 300, 300); + setVisible(true); + + // load image from disk. Make sure you have the path right! + ImageIcon icon = new ImageIcon(workingDirectory + "/alien_ship_1.png"); + alienImage = icon.getImage(); + + repaint(); + } + + // application's paint method (may first happen *before* image is finished loading, hence repaint() above + public void paint(Graphics g) { + // draw a black rectangle on the whole canvas + g.setColor(Color.BLACK); + g.fillRect(0,0,300,300); + + // display the image (final argument is an "ImageObserver" object) + g.drawImage(alienImage, 150, 150, null); + } + + // application entry point + public static void main(String[] args) { + workingDirectory = System.getProperty("user.dir"); + System.out.println("workingDirectory = " + workingDirectory); + DisplayRasterImage d = new DisplayRasterImage(); + + } +} +\end{lstlisting} + +\section{Lecture 04 - Screen Flicker} +Screen flicker is caused by software redrawing a screen out of sync with the screen being refreshed by the graphics hardware, +resulting in a half-drawn image occasionally being displayed. + +The solution to screen flicker is to use \textbf{double buffering}. +Double buffering involves first rendering all graphics to an offscreen \textit{memory buffer}. +Then, when finished drawing a frame of animation, flip the offscreen buffer onscreen furing the ``vertical sync'' period. + +\verb|java.awt| provides a \verb|BufferStrategy| class that applies the best approach based off the capabilities of the +computer on which the software is running. + +\subsection{Implementing Double Buffering} +\begin{enumerate} + \item \verb|import java.awt.image.*;| + \item Add a new member variable to the Application class: \verb|private BufferStrategy strategy;| + \item In the Application class's constructor method: + \begin{lstlisting}[language=Java] +createBufferStrategy(2); +strategy = getBufferStrategy(); \end{lstlisting} + Note that this code should be executed \textbf{after} the JFrame has been displayed, i.e. after \verb|setBounds()| + \& \verb|setVisible()|. + \item At the start of the \verb|paint(Graphics g)| method, include \verb|g = strategy.getDrawGraphics();| to redirect our + drawing calls to the offscreen buffer. + \item At the end of the \verb|paint(Graphics g)| method, include \verb|strategy.show();| to indicate that we want to flip + the buffers. +\end{enumerate} + +\section{Lecture 05 - Finishing Space Invaders} +\subsection{Animated 2D Sprites} +To animate a 2D sprite, we can simply load two or more images and alternate or cycle between them. +For our game, switching image once per second (i.e., every 50$\textsuperscript{th}$ redraw is about right). + +E.g., use this in a modified \verb|Sprite2D| class. +\begin{lstlisting}[language=Java] +public void paint(Graphics g) { + framesDrawn++; + if (framesDrawn % 100 < 50) { + g.drawImage(myImage, (int) x, (int) y, null); + } + else { + g.drawImage(myImage2, (int) x, (int) y, null); + } +} +\end{lstlisting} + +\subsection{Collision Detection} +To detect collisions, we cna simply check for overlapping rectangles. +\begin{lstlisting}[language=Java] +if ( ((x1x2) ||(x2x1) ) && ( (y1y2 ) || (y2y1) ) ) +\end{lstlisting} + +\subsection{Game States} +Games normally have at least two high-level ``states'', i.e., is the game in progress or are we currently displaying +a menu before the game starts (or after it finishes)? +To do this, we can simply add a boolean member to the application class: \verb|isGameInProgress|. +Depending on the value of this, we can handle various things differently: +\begin{itemize} + \item Keypresses. + \item The \verb|paint()| method. + \item The thread's game loop. +\end{itemize} + +\section{Lecture 06 - Conway's Game of Life} +\subsection{Mouse Events} +Mouse events notify when the user uses the mouse (or similar input device) to interact with a component. +Mouse events occur when the pointer enters or exits a component's onscreen area and when the user presses or releases one of the mouse buttons. + +Additional events such as mouse movement \& the mouse wheel can be handled by implementing the \verb|MouseMotionListener| +and \verb|MouseWheelListener| interfaces. +\begin{enumerate} + \item Have your class implement \verb|MouseListener|. + \item Add \verb|addMouseListener(this);| to the clas constructor. + \item Implement the methods below: + \begin{lstlisting}[language=Java] +// mouse events which must be implemented for MouseListener +public void mousePressed(MouseEvent e) { } +public void mouseReleased(MouseEvent e) { } +public void mouseEntered(MouseEvent e) { } +public void mouseExited(MouseEvent e) { } +public void mouseClicked(MouseEvent e) { } +\end{lstlisting} +\end{enumerate} + +\subsection{Conway's Game of Life: Rules} +\verb|private boolean gameState[][][] new boolean[40][40][2];| + +\begin{enumerate} + \item Any live cell with fewer than two live neighbours dies, as if caused by under-population. + \item Any live cell with two or three live neighbours lives on to the next generation. + \item Any live cell with more than three live neighbours dies, as if by overcrowding. + \item Any dead cell with exactly three live neighbours becomes a live cell, as if by reproduction. +\end{enumerate} + +Each generation (iteration) of the game is created by applying the above rules simultaneously to every cell in its +preceding generation: births \& deaths occur simultaneously. +To implement this properly, we will need to have two separate game states in memory: +\begin{itemize} + \item One is the ``front buffer'' that we are currently displaying, and which we are checking the above rules on. + \item The other is the ``back buffer'' that we're applying the results of the rules to. + \item The ``back buffer'' will be switched to the ``front'' after applying the rules to every cell. +\end{itemize} + +We will check the eight neighbours of each cell as follows: +\begin{lstlisting}[language=java] +for (int x=0;x<40;x++) { + for (int y=0;y<40;y++) { + // count the live neighbours of cell [x][y][0] + for (int xx=-1;xx<=1;xx++) { + for (int yy=-1;yy<=1;yy++) { + if (xx!=0 || yy!=0) { + // check cell [x+xx][y+yy][0] + // but.. what if x+xx==-1, etc. ? + } + } + } + } +} +\end{lstlisting} + +Note that we need to define the neighbours for cells at the edges of the map. +The usual procedure is to ``wrap around'' to the opposite side. + +\subsection{Another Example of a Cellular Automata Algorithm in Use} +The image below is of an algorithmically-generated cave-like structure, for use in a 2D computer game. +Each of the cells, laid out in a 60x30 grid, either has a wall (denoted by \verb|#|) or a floor (denoted by \verb|.|). + +The cellular automata algorithm which generated this output uses the following steps: +\begin{itemize} + \item For each cell, randomly define it as: wall (60\% chance) or floor (40\% chance). + \item Perform the following procedure four times: Calculate the number of wall neighbours for each cell, and + define each cell which has at least 5 neighbouring wall cells, as a wall cell itself. + Otherwise (i.e., if it has less than 5 wall neighbours), define it as a floor cell. +\end{itemize} + +\begin{center} + \includegraphics[width=0.6\textwidth]{cave.png} +\end{center} + +\section{Week 8} +\subsection{Reading from Text Files} +The \verb|java.io| provides file handling classes: +\begin{itemize} + \item \verb|FileReader| to read from a text file. + \item \verb|BufferedFileReader| to read from a text file more efficiently (reads larger blocks \& buffers/caches them). + \begin{itemize} + \item \textit{Exception handling is required.} + \item Uses the \verb|FileReader| class constructor to open a file. + \item Uses the \verb|readLine()| method to read a line of text (which returns a \verb|String|). + \item Uses the \verb|close()| method to close the file. + \end{itemize} +\end{itemize} + +Sample code that reads just one line from the file (stopping at the end of the file or when a carriage return is encountered): +\begin{lstlisting}[language=java] +String filename = "C:\\Users\\Sam\\Desktop\\lifegame.txt"; +String textinput = null; +try { + BufferedReader reader = new BufferedReader(new FileReader(filename)); + textinput = reader.readLine(); + reader.close(); +} +catch (IOException e) { } +\end{lstlisting} + +Sample code that reads all the carriage return-separated lines from a file: +\begin{lstlisting}[language=java] +String line=null; +String filename = "C:\\Users\\Sam\\Desktop\\lifegame.txt"; +try { + BufferedReader reader = new BufferedReader(new FileReader(filename)); + do { + try { + line = reader.readLine(); + // do something with String here! + } catch (IOException e) { } + } + while (line != null); + + reader.close(); + +} catch (IOException e) { } +\end{lstlisting} + +\subsection{Writing to Text Files} +Use the \verb|FileWriter| \& \verb|BufferedWriter| classes: + +\verb|BufferedWriter|: +\begin{enumerate} + \item Use the \verb|FileWriter| class constructor to open a file. + \item Use the \verb|write(String s)| method to write a line to the file (with a CR appended automatically). + \item Use the \verb|close()| method to close the file. +\end{enumerate} + +E.g., to write a single String to a file: +\begin{lstlisting}[language=java] +String filename = "C:\\Users\\Sam\\Desktop\\lifegame.txt"; +try { + BufferedWriter writer = new BufferedWriter(new FileWriter(filename)); + writer.write(outputtext); + writer.close(); +} +catch (IOException e) { } +\end{lstlisting} + +\subsection{Handling Mouse Motion Events} +In addition to mouse button events, we can also receive mouse \textit{movement} events. +Have the class implement the \verb|MouseMotionListener| interface as well as \verb|MouseListener|. +In the application class constructor have: \verb|addMouseMotionListener(this);|. +Add these methods (receives the same data as the mouse events we have already seeen): +\begin{lstlisting}[language=Java] +public void mouseMoved(MouseEvent e) +public void mouseDragged(MouseEvent e) +\end{lstlisting} + + +This is useful for making it less tedious to create a new initial game set-up. + +\section{A* Pathfinding} +The fundamental operations of the \textbf{A*} algorithm is to traverse a map by exploring promising positions (nodes) beginning at a starting location, witht the goal of finding the best route to a target location. + +Each node has four attributes, other than its position on the map: +\begin{itemize} + \item $g$ is the cost of getting from the starting node to this node. + \item $h$ is the heuristic (estimated) cost of getting from this node to the target node. + $h$ is a best guess, since the algorithm does not yet know the actual cost. + \item $f$ is the sum of $g$ \& $h$, and is the algorithm;s best current estimate as to the total cost of travelling from the starting location to the target location via this node. + \item \textit{parent} is the identity of the node which connected to this node along a potential solution path. +\end{itemize} + +The algorithm maintains two lists of nodes: the \textbf{open} list \& the \textbf{closed} list. +\begin{itemize} + \item The open list consists of nodes to which the algorithm has already found a route, i.e. one of its connected neighbours has been evaluated (\textit{expanded}) but which have not yet themselves been expanded. + \item The closed list consists of nodes that have been expanded and which therefore should not be re-visited. +\end{itemize} + +Progress is made by identifying the most promising node in the open list, i.e., the one with the lowest $f$ value, and expanging it by adding each of its connected neighbours to the open list, unless they are +already closed. +As nodes are expanded, they are moved to the closed list. +As nodes are added to the open list, their $f$, $g$, $h$, \& \textit{parent} values are recorded. +The $g$ value of a node is, of course, equal to the $g$ value of its parent plus the cost of moving from the parent to the node itself. + +\begin{center} + \includegraphics[width=0.7\textwidth]{astar.png} +\end{center} + +\subsection{Implementing A* Pathfinding} + + +\bibliographystyle{unsrtnat} +\bibliography{references} +\end{document} + diff --git a/second/semester2/CT255/Notes/images/astar.png b/second/semester2/CT255/Notes/images/astar.png new file mode 100644 index 00000000..c04aa5d1 Binary files /dev/null and b/second/semester2/CT255/Notes/images/astar.png differ diff --git a/second/semester2/CT255/Notes/images/cave.png b/second/semester2/CT255/Notes/images/cave.png new file mode 100644 index 00000000..be961566 Binary files /dev/null and b/second/semester2/CT255/Notes/images/cave.png differ diff --git a/second/semester2/CT255/Notes/report.sty b/second/semester2/CT255/Notes/report.sty new file mode 100644 index 00000000..fd35bff7 --- /dev/null +++ b/second/semester2/CT255/Notes/report.sty @@ -0,0 +1,264 @@ +\NeedsTeXFormat{LaTeX2e} + +\ProcessOptions\relax + +% fonts +\renewcommand{\rmdefault}{ptm} +\renewcommand{\sfdefault}{phv} + 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