Introduction to artificial intelligence focusing on techniques for building intelligent software systems and agents. Topics include search and problem-solving techniques, knowledge representation and reasoning, reasoning and acting under uncertainty, machine learning and neural networks. Prerequisites: one of STAT 141, 151, 235, or 265, or SCI 151. Corequisites: CMPUT 204 or 275. Credit cannot be obtained for CMPUT 261 if credit has already been obtained for CMPUT 366, except with permission of the Department.
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE A1
(86822) |
88 |
2023-09-05 - 2023-12-08 (TR)
09:30 - 10:50
SAB 3-31
Final Exam: 2023-12-14
09:00 - 12:00
SAB 3-31
|
Primary Instructor: James Wright
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LAB D01
(86823) |
25 |
2023-09-05 - 2023-12-08 (M)
14:00 - 16:50
CSC 1-25
|
|
|
LAB D02
(86824) |
63 |
2023-09-05 - 2023-12-08 (R)
17:00 - 19:50
NRE 2-001
|
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE B1
(16954) |
180 |
2024-01-08 - 2024-04-12 (TR)
12:30 - 13:50
ED 2-115
|
Primary Instructor: James Wright
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LAB H01
(16955) |
25 |
2024-01-08 - 2024-04-12 (M)
14:00 - 16:50
CSC 1-25
|
|
|
LAB H02
(16956) |
156 |
2024-01-08 - 2024-04-12 (R)
14:00 - 16:50
T LB-002
|
|