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 or 30-2. This course cannot be taken for credit if credit has been obtained in CMPUT 174, 175, 195, 274, 275, or ENCMP 100.
| Section | Capacity | Class times | Login to view Locations |
|---|---|---|---|
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LECTURE A1
(54233) |
44 |
2026-09-01 - 2026-12-08 (TR)
14:00 - 15:20
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Primary Instructor: Ildar Akhmetov
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| Section | Capacity | Class times | Login to view Locations |
|---|---|---|---|
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LAB D01
(54234) |
22 |
2026-09-01 - 2026-12-08 (W)
14:00 - 16:50
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Primary Instructor: Ildar Akhmetov
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LAB D02
(54776) |
22 |
2026-09-01 - 2026-12-08 (R)
17:00 - 19:50
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Primary Instructor: Ildar Akhmetov
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