6CCS3AIN Artificial Intelligence
Credit value: 15
Lecturer: Professor Simon Parsons and Dr Elizabeth Black (office hours)
Teaching pattern: 2-hour lecture and 1-hour tutorial weekly
Prerequisites: some basic knowledge of Logic recommended
Assessment: 80% written examination (2 hours; Marking Model 2 - double marking); 20% coursework (Marking Model 5 - single marking)
Learning aims & outcomes
To provide a grounding in artificial intelligence techniques used: to represent knowledge about the world; to make decisions on the basis of that information; and to update what is known about the world.
Students successfully completing this module should be able to:
- Demonstrate a sound knowledge and understanding of advanced techniques in artificial intelligence.
- Judiciously apply these techniques to a range of subject-specific problems
- Implement these techniques in computer software.
Topics will be selected from:
- Knowledge representation
- Reasoning with uncertainty
- Decision making (simple, complex and multi-party)
01 December 2017