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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 (STAT 101, STAT 270, ENSC 280, or MSE 210), with a minimum grade of C-.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Gregory Baker |
Sep 7 – Dec 6, 2022: Tue, 8:30–10:20 a.m.
Sep 7 – Dec 6, 2022: Fri, 8:30–9:20 a.m. |
Burnaby Burnaby |