Module Descriptors
INTRODUCTION TO ARTIFICIAL INTELLIGENCE
COSE40291
Key Facts
Faculty of Computing, Engineering and Sciences
Level 4
15 credits
Contact
Leader: Diane Bishton
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
  • EXAMINATION - UNSEEN IN EXAMINATION CONDITIONS weighted at 50%
  • ASSIGNMENT weighted at 50%
Module Details
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