COMPSCI 367 - Artificial Intelligence
Faculty
Science
Department
Computer Science
Points:
15
Available Semesters:
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Course Components
Labs
Tutorials
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Description: Covers algorithms and representational schemes used in artificial intelligence. AI search techniques (e.g., heuristic search, constraint satisfaction, etc.) for solving both optimal and satisficing tasks. Tasks such as game playing (adversarial search), planning, and natural language processing. Discusses and examines the history and future of AI and the ethics surrounding the use of AI in society.
Prerequisites / Restrictions
Prerequisite: COMPSCI 220 and COMPSCI 225 or MATHS 254, or SOFTENG 282 and 284 Restriction: COMPSCI 761
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