AI 220LR - Applied Linear Algebra and Probability for AI

Introductory mathematics course assuming minimal mathematical background (non-calculus based) that introduces the foundations of math necessary to understand machine learning and AI technologies. This course is designed for students who do not plan to major in math or engineering. Key topics will include basic linear algebra and probability grounded in real-world examples of the use and interpretation of these techniques in AI applications.

Credits: 4

Grading
Graded (GRD)

Typically Offered:
Fall, Spring

Requisites:
Pre-Requisites: MTH 114, or equivalent. A student can take AI 220 if already placed into Calculus or received Calculus AP credit.