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 \pagenumbering{arabic}
 
 \section{Introduction}
+\subsection{Lecturer Contact Details}
+\begin{itemize}
+    \item   Colm O'Riordan.
+    \item   \href{mailto://colm.oriordan@universityofgalway.ie}{\texttt{colm.oriordan@universityofgalway.ie}}.
+\end{itemize}
+
+\subsection{Motivations}
+\begin{itemize}
+    \item   To study/analyse techniques to deal suitably with the large amounts (\& types) of information.
+    \item   Emphasis on research \& practice in Information Retrieval.
+\end{itemize}
+
+\subsection{Related Fields}
+\begin{itemize}
+    \item   Artificial Intelligence.
+    \item   Database \& Information Systems.
+    \item   Algorithms.
+    \item   Human-Computer Interaction.
+\end{itemize}
+
+\subsection{Recommended Texts}
+\begin{itemize}
+    \item   \textit{Modern Information Retrieval} -- Riberio-Neto \& Baeza-Yates (several copies in library).
+    \item   \textit{Information Retrieval} -- Grossman.
+    \item   \textit{Introduction to Information Retrieval} -- Christopher Manning.
+    \item   Extra resources such as research papers will be recommended as extra reading.
+\end{itemize}
+
+\subsection{Grading}
+\begin{itemize}
+    \item   Exam: 70\%.
+    \item   Assignment 1: 30\%.
+    \item   Assignment 2: 30\%.
+\end{itemize}
+
+There will be exercise sheets posted for most lecturers; these are not mandatory and are intended as a study aid.
+
+\subsection{Introduction to Information Retrieval}
+\textbf{Information Retrieval (IR)} deals with identifying relevant information based on users' information needs, e.g.
+web search engines, digital libraries, \& recommender systems. 
+It is finding material (usually documents) of an unstructured nature that satisfies an information need within large
+collections (usually stored on computers).
+
+
+
+
+
+
+
+
+
+
+
 
 \end{document}
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