ADS 2288F/G

INTRODUCTION TO PROGRAMMING AND BASIC DATA ANALYSIS

0.50 credits

Topics include computational linear algebra, numerical optimization, simulation, use of IDEs, and display of statistical data.

Prerequisites & course information

Antirequisite(s): Statistics 2864A/B, Data Science 1200A/B . Prerequisite(s): 0.5 course from Mathematics 1229A/B, Mathematics 1600A/B, Numerical and Mathematical Methods 1411A/B . Extra Information: 3 lecture hours, 2 lab hours. Course Weight: 0.50

Sources

Course catalogue ↗2026-2027