|Module Title||AN INTRODUCTION TO ARTIFICIAL INTELLIGENCE|
|Co-ordinator||Dr Mark Ratcliffe|
|Other staff||Professor Mark Lee, Dr Myra Wilson|
|Course delivery||Lecture||20 lectures|
|Practical||3 x 2 hr|
|Assessment||Supplementary examination||Will take the same form, under the terms of the Department's policy|
2. Intelligent Agents - 1 Lecture
How can we build an intelligent robot? Sensing, Action and Cognition. The symbolic approach. Memory, representation and reasoning.
3. Machine Vision - 3 Lectures
How can robots see? The nature of the vision task. Computer vision and image processing.
4. Knowledge - 2 lectures
How can robots think? Knowledge representation methods. Reasoning and inference.
5. Expert Systems - 3 Lectures
How can human expertise be automated? Example applications and commercial successes. How to build an expert system - system concepts and architectures. Rule-based systems: design, operation and worked examples. Knowledge bases and knowledge based systems.
6. Artificial Brains - 2 Lectures
How can robot brains be built? Artificial neural nets, pattern recognition and learning.
7. Search and reasoning - 4 Lectures
Why do we need search? Evaluation of search strategies. Un-informed search techniques. Informed search techniques.
8. Machine Learning - 2 Lectures
How can a computer program learn? Inductive learning. Structural methods. Genetic algorithms.
9. Learning application - 2 Lectures
Case-based reasoning. Data mining.