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.
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LECTURE B1
(70793) |
208 |
2025-01-06 - 2025-04-09 (MWF)
11:00 - 11:50
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LAB H01
(70794) |
208 |
2025-01-06 - 2025-04-09 (R)
17:00 - 19:50
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LECTURE A1
(51389) |
231 |
2025-09-02 - 2025-12-08 (TR)
14:00 - 15:20
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LAB D01
(51526) |
231 |
2025-09-02 - 2025-12-08 (M)
17:00 - 19:50
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LECTURE B1
(80678) |
200 |
2026-01-05 - 2026-04-10 (MWF)
11:00 - 11:50
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| Section | Capacity | Class times | Login to view Instructor(s) and Location |
|---|---|---|---|
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LAB H01
(80679) |
200 |
2026-01-05 - 2026-04-10 (R)
17:00 - 19:50
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