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Introduction to Artificial Intelligence CMPT 310 (3)
A survey of modern approaches for artificial intelligence (AI). Provides an introduction to a variety of AI topics and prepares students for upper-level courses. Topics include: problem solving with search; adversarial game playing; probability and Bayesian networks; machine learning; and applications such as robotics, visual computing and natural language. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
| D100 |
Angelica Lim |
Sep 4 – Oct 11, 2024: Tue, 10:30 a.m.–12:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 10:30 a.m.–12:20 p.m. Sep 4 – Dec 3, 2024: Fri, 10:30–11:20 a.m. |
Burnaby Burnaby Burnaby |
| D200 |
Ahmadreza Nezami |
Sep 4 – Dec 3, 2024: Thu, 8:30–11:20 a.m.
|
Burnaby |