Module Identifier CS16010  
Academic Year 2003/2004  
Co-ordinator Dr Mark B Ratcliffe  
Semester Semester 2  
Other staff Professor Mark H Lee, Dr Myra S Wilson  
Course delivery Lecture   20 lectures  
  Practical   3 x 2 hr  
Assessment TypeAssessment Length/DetailsProportion
Semester Exam2 Hours Online Examination  100%
Supplementary Exam Will take the same form, under the terms of the Department's policy   
Further details  

Learning outcomes

On completion of this module, students should be able to:

Brief description

The module will provide students with an introduction to the problems and techniques of artificial intelligence.


To introduce students to the problems and techniques of artificial intelligence.


1. Introduction to AI - 1 Lecture
What is AI? Introduction to the range of applications of AI.
Why do we need AI and how do we use it?

2. Intelligent Agents - 2 Lectures
How can we build an intelligent robot? Sensing, Action and Cognition.
The symbolic approach and alternatives. Computers and Brains.

3. Machine Vision - 3 Lectures
How can robots see? The nature of the vision task.
Computer vision and image processing.

4. Search - How can computers find solutions? 5 lectures
Why do we need search? Evaluation of search strategies.
Un-informed search techniques. Informed search techniques.

5. Machine Learning - How can a computer program learn? 3 lectures
Game playing. Genetic algorithms. Decision tree learning.

6. Knowledge - 2 lectures
How can robots think? Knowledge representation methods.
Reasoning and inference.

7. Expert Systems - 2 Lectures
How can human expertise be automated? Example applications and commercial
How to build a rule-based expert system, - operation and worked examples.

8. Artificial Brains - 2 Lectures
How can robot brains be built? Artificial neural nets, pattern recognition
and learning.

Reading Lists

** Recommended Text
S.J. Russell and P. Norvig (1995) AI: A Modern Approach Prentice-Hall ISBN 0131038052
Alison Cawsey (1998) The Essence of Artificial Intelligence Essence of Computing Series. Prentice Hall ISBN 0135717795
** Consult For Futher Information
J. Giarratano and G. Riley (1998) Expert Systems: Principles and programming Boston PWS ISBN 0534950531
E. Rich and K. Knight (1991) Artificial Intelligence 2nd.. McGraw Hill, ISBN 0070522634


This module is at CQFW Level 4