This is part 1 of an intensive problem-based introduction to Computing Science. In part 1, the key concepts of procedural programming, basic algorithm design and analysis (lists, queues, trees, sorting, searching) are learned by solving a series of problems using Python. Development is done using the Linux operating system. Prerequisite: Math 30-1. Note: this course is taught in studio-style, where lectures and labs are blended into 3 hour sessions, twice a week. Enrollment is limited by the capacity of the combined lecture/lab facilities. Python or prior computing background is strongly recommended. Credit cannot be obtained for both CMPUT 174 and CMPUT 274. Credit cannot be obtained for both CMPUT 175 and CMPUT 274.
| Section | Capacity | Class times | Login to view Instructor(s) and Location |
|---|---|---|---|
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LAB/LECTURE A1
(51746) |
90 |
2026-09-01 - 2026-12-08 (TR)
08:00 - 10:50
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LAB/LECTURE EA1
(51747) |
120 |
2026-09-01 - 2026-12-08 (TR)
08:00 - 10:50
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