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, 175, 195, 274, 275, or ENCMP 100.
Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LECTURE A1
(51834) |
64 |
2024-09-03 - 2024-12-09 (TR)
14:00 - 15:20
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Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LAB D01
(51835) |
24 |
2024-09-03 - 2024-12-09 (W)
14:00 - 16:50
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LAB D02
(53336) |
40 |
2024-09-03 - 2024-12-09 (R)
17:00 - 19:50
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