2026-2027 Undergraduate Catalog

TECH 3832 MACHINE LEARNING FOUNDATIONS

This course introduces traditional Machine Learning (ML) algorithms, covering supervised, unsupervised, and reinforcement learning, feature selection and management, and model evaluation. Practical applications of these algorithms to real-world scenarios are explored throughout the course.

Credits

3

Prerequisite

CPS*2800 (for IT and non-majors); Not open to CS or AI majors