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)). Students with credit for CMPT 410 may not take this course for further credit.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Oliver Schulte |
May 8 – Aug 4, 2017: Tue, 11:30 a.m.–1:20 p.m.
May 8 – Aug 4, 2017: Thu, 11:30 a.m.–12:20 p.m. |
Burnaby Burnaby |