Module Tutor Photo
School of Computing and Mathematics  
 
 
CSC-30008 Artificial Intelligence  
Co-ordinator: Dr Charles Day    Room: CR038, Tel:33411  
Teaching Team:  
Level: 3 Credits: 15 Study Hours: 150  
School Office: Tel: 01782 733075
 
 
 
Programme/Approved Electives for
None
Available as a Free Standing Elective
No
Prerequisites
2nd year Principal Computer Science or Information Systems (or equivalent)
Barred Combinations
None
Description

Prolog programming, natural language processing, state spaces
and search, neural network algorithms and tasks, design,
testing, validation of neural networks.

2 hours lectures, plus practical work
Aims
To convey a critical appreciation of the principles and techniques of Artificial Intelligence and Intelligent Systems, with emphasis on neural networks and evolutionary algorithms.
Intended Learning Outcomes
Demonstrate a systematic understanding of the main ideas of artificial intelligence and intelligent systems and critically evaluate arguments and assumptions relating to them.
Demonstrate a systematic understanding of parallel distributed (Neural Network) techniques and deploy established techniques of analysis and enquiry to review, consolidate, extend and apply that knowledge and understanding to pattern recognition tasks.
Demonstrate a systematic understanding of evolutionary algorithms and deploy established techniques of analysis and enquiry to review, consolidate, extend and apply that knowledge and understanding to optimization tasks.
Study hours
20 hours lectures
80 hours unsupervised practical work
50 hours private study
Description of Module Assessment
001: 2 Hour Unseen Exam weighted 60%
2-hour unseen examination
002: Practice Based Assessment weighted 40%
Practical assessment
Version: (1.04S) Created: 04/Jun/2010

This document is the definitive current source of information about this module and supersedes any other information.