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Modules

6CCS3AIN Artificial Intelligence

Credit value: 15

Lecturer: Professor Simon Parsons and Dr Elizabeth Black (office hours)
Semester: 1
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.
Syllabus
Topics will be selected from:
  • Knowledge representation
  • Reasoning with uncertainty
  • Decision making (simple, complex and multi-party)
  • Learning
Suggested reading/resources:

 


01 December 2017

 

 

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