Foundations of Applied Machine Learning

3 credits · Undergraduate

Fundamental concepts, mathematical foundations, and engineering applications of machine learning. Case studies in engineering-relevant domains including signal processing, control systems, electronics, IoT, and predictive maintenance. No credit for students who have earned credit for ECE 5608. Prerequisites: CS 1100, 1101, 1105, or DS 1100; ECE/CS 2123 or ECE/CS 2281 or ME 2171 or BME 2900W or DS 3100 or CE 2200 or CHBE 2250. [3]