Introduction to data acquisition, basic data manipulation (cleaning, outlier detection), analysis (regression, clustering, classification), basic statistics and machine learning tools, information visualization to communicate information from data. Prerequisite: Math 30-1. This course cannot be taken for credit if credit has been obtained in CMPUT 174, 195, or 274.
Section | Capacity | Dates + Times | Instructor(s) |
---|---|---|---|
LECTURE A1
(87363) |
60 |
2023-09-05 - 2023-12-08
TH 14:00 - 15:20 (ECHA 1-498)
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Section | Capacity | Dates + Times | Instructor(s) |
---|---|---|---|
LAB D01
(87364) |
60 |
2023-09-05 - 2023-12-08
W 14:00 - 16:50 (ETLC E2-001)
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