Courses / Module

• Explain the underlying principles, and evaluate the advantages and limitations, of the AI approach to problem solving
• Describe and implement a range of algorithms and discuss the limitations associated with each
• Demonstrate the application of artificial intelligence techniques to game playing
• Define the concepts of different systems and explain how they differ from classical search techniques
• Apply the machine learning approaches and evolutionary computation
• Distinguish between one recommendation approach from another and understand how related research has addressed key problems in this area

• Module Graded (numeric value) or Ungraded (Pass/Not Passed): Graded

• Pass standard: 40%
• Could the result of this module be capped? No

• Are supplemental/resit registrations permitted? Yes
• University scheduled written examination (Autumn): 120 minutes
• Is Supplemental Continuous Assessment registration permitted? No
• Is Supplemental Continuous Assessment capped? No

• CS211 or equivalent.

“Artificial Intelligence: A Modern Approach”, Russell & Norvig, Pearson publisher

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