General description
This module builds on CS26210 and examines some of the key ideas in Artificial Intelligence. A small number of topics are studied in depth in order to give insight and understanding of the methods and issues involved in state-of-the-art developments.

Aims
The primary aim of this module is to give students a deeper understanding of some of the principle concepts of artificial intelligence, developed in the Artificial Intelligence Concepts module CS26210 . In concentrating on model-based reasoning and machine learning, this module will make full use of the expertise and research strengths of members of the lecturing staff.

Learning outcomes
On successful completion of this module students should:

• have a good understanding of the conceptual basis and broad practical implications of model-based reasoning and machine learning.

Syllabus
1. Model Based Reasoning - 8 Lectures
This part of the module begins with the basic concepts of model-based reasoning, and proceeds to cover types of model, qualitative reasoning, and applications.

2. Machine Learning - 12 Lectures
A detailed view of the central problems of machine learning, and overview of the most important current techniques: decision trees, neural networks, genetic algorithms and inductive logic programming.