AI 210LR - Applied Linear Algebra for AI

A first non-calculus based course in mathematics that introduces basic concepts necessary to understand machine learning and AI technologies. This course is designed for students who do not plan to major in math or engineering, and do not wish to take a faster, more in-depth course like AI 220. Key topics will include basic linear algebra with a strong emphasis on real-world examples of the use and interpretation of these techniques in AI applications. While some advanced concepts will be introduced, this course will focus on their use in real-world systems as opposed to their mathematical derivation.

Credits: 4

Grading
Graded

Typically Offered:
Fall, Spring

Requisites:
Prerequisite: MTH 114 (precalculus) or equivalent through testing