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Computational Data Science CMPT 353 (3)
Basic concepts and programming tools for handling and processing data. Includes data acquisition, cleaning data sources, application of machine learning techniques and data analysis techniques, large-scale computation on a computing cluster. Prerequisite: CMPT 225 and (BUS 232, STAT 201, STAT 203, STAT 205, STAT 270, STAT 271, ENSC 280, MSE 210, or SEE 241), with a minimum grade of C-.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
| D100 |
Gregory Baker Rob Cameron |
Sep 4 – Dec 3, 2024: Mon, 2:30–4:20 p.m.
Oct 15, 2024: Tue, 2:30–4:20 p.m. Sep 4 – Dec 3, 2024: Wed, 2:30–3:20 p.m. |
Burnaby Burnaby Burnaby |