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 |
|---|---|---|---|
|
James Delgrande |
Jan 3 – Apr 10, 2018: Mon, 11:30 a.m.–12:20 p.m.
Jan 3 – Apr 10, 2018: Wed, 11:30 a.m.–12:20 p.m. Jan 3 – Apr 10, 2018: Fri, 11:30 a.m.–12:20 p.m. |
Burnaby Burnaby Burnaby |
|
|
Oliver Schulte |
Jan 3 – Apr 10, 2018: Mon, Fri, 2:30–3:20 p.m.
Jan 3 – Apr 10, 2018: Wed, 2:30–3:20 p.m. |
Burnaby Burnaby |