Module Additional Assessment Details
50% exam - length 2 hours (learning outcome 1)
50% assignment (learning outcome 2)
Module Indicative Content
This module will cover basic concepts of AI: knowledge representation, problem solving (for example as used in games), search machine, learning, automated receiving and connectionism. Additionally, practicals will introduce AI tools, particularly PROLOG and simulations.
Module Learning Strategies
Two lectures per week.
One practical per week.
(1:n)2 (1:20)1
Module Special Admissions Requirements
None.
Module Resources
The faculty Bulletin Board system, various computers running a variety of AI software, access to the Internet (including e-books, journals, etc.) and the University library.
Module Texts
Russell, S., & Norvig, P. (2003). Artificial Intelligence: a modern approach (Second Edition ed.). New Jersey: Pearson Education, Inc., ISBN: 0-13-080302-2
Wooldridge, M. (2002). An Introduction to MultiAgent Systems. Chichester, UK: John Wiley and Sons, ISBN: 0-471-49691-X
Bratko, I. (1990). Prolog Programming for Artificial Intelligence: Addison-Wesley, ISBN: 0-201-41616-9