COEN 391B Machine Learning for Embedded and Intelligent Systems
Introduction to machine learning concepts and Python programming with emphasis on computer engineering applications. Topics include supervised and unsupervised methods, model evaluation under engineering constraints, and deployment in domains such as embedded systems, IoT, robotics, signal processing, and smart grids. A course project applies ML to a real-world Computer Engineering problem.
Prerequisite
Grade of "C" or better in
COEN 304B or permission of the instructor