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, BUEC 232, ENSC 280, or MSE 210).
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Gregory Baker |
Sep 3 – Dec 2, 2019: Tue, 1:30–2:20 p.m.
Sep 3 – Dec 2, 2019: Thu, 12:30–2:20 p.m. |
Burnaby Burnaby |