— Applied Machine Learning

Prerequisites & course information

Course Description: Applied machine learning (ML) and deep learning (DL) in engineering systems. Design and evaluation of components that are critical to artificial intelligence (AI) driven control systems, including but not limited to sensor fusion, feature engineering, computer vision (semantic segmentation, objection detection), ML based classification, and learning-based control systems. Team project including a final presentation and report. Learning Activities: Laboratory 3 hour(s), Web Virtual Lecture 2 hour(s). Enrollment Restriction(s): Pass One restricted to Computer Engineering and Electrical Engineering majors. Grade Mode: Letter. Learning Activities: Laboratory 3 hour(s), Web Virtual Lecture 2 hour(s). Enrollment Restriction(s): Pass One restricted to Computer Engineering and Electrical Engineering majors. Grade Mode: Letter.