This course provides an introduction to search and planning in artificial intelligence. The course covers deterministic single-agent and multi-agent problems. Students will learn how to model real-world problems as state-space search problems and how to solve such problems. The course covers algorithms for solving deterministic shortest path problems with factored and non-factored states, combinatorial optimization problems, constraint satisfaction problems, and multi- agent problems. Prerequisites: CMPUT 204 or 275, and CMPUT 272.
| Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LECTURE A1
(51308) |
234 |
2026-09-01 - 2026-12-08 (TR)
14:00 - 15:20
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|---|---|---|---|
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LAB D01
(51441) |
250 |
2026-09-01 - 2026-12-08 (M)
17:00 - 19:50
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LECTURE B1
(75597) |
250 |
2027-01-04 - 2027-04-09 (MWF)
11:00 - 11:50
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|---|---|---|---|
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LAB H01
(75598) |
215 |
2027-01-04 - 2027-04-09 (R)
17:00 - 19:50
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