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 | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE A1
(87363) |
60 |
2023-09-05 - 2023-12-08 (TR)
14:00 - 15:20
ECHA 1-498
Final Exam: 2023-12-20
09:00 - 12:00
ECHA 1-490
|
Primary Instructor: Rejwana Haque
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LAB D01
(87364) |
40 |
2023-09-05 - 2023-12-08 (W)
14:00 - 16:50
ETLC E2-001
|
|
|
LAB D02
(89486) |
20 |
2023-09-05 - 2023-12-08 (R)
17:00 - 19:50
CAB 311
|
|