★ 3 (fi 6)(EITHER, 3-0-3)
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.
LECTURE A2 (40040)
2022-09-01 - 2022-12-08
TH 14:00 - 15:20 (CSC B-10)
★ 3 (fi 6)(EITHER, 3-0-0)
LECTURE B2 (49502)
2023-01-05 - 2023-04-12
TH 12:30 - 13:50 (HC 2-34)