INTRODUCTION TO PROGRAMMING AND BASIC DATA ANALYSIS

Description

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

Prerequisites

0.5 course from Mathematics 1229A/B, Mathematics 1600A/B, Numerical and Mathematical Methods 1411A/B.

Antirequisites

Statistics 2864A/B, Data Science 1200A/B.

Extra information

3 lecture hours, 2 lab hours.

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