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Artificial Intelligence Survey CMPT 310 (3)
Provides a unified discussion of the fundamental approaches to the problems in artificial intelligence. The topics considered are: representational typology and search methods; game playing, heuristic programming; pattern recognition and classification; theorem-proving; question-answering systems; natural language understanding; computer vision. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-. Students with credit for CMPT 410 may not take this course for further credit.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Toby Donaldson Milan Tofiloski |
May 12 – Aug 9, 2021: Wed, 9:30–10:20 a.m.
May 12 – Aug 9, 2021: Fri, 8:30–10:20 a.m. |
Burnaby Burnaby |