Machine Learning for Mechanical Engineers. 3 credits

Catalog description

This course provides a hands-on introduction to machine learning (ML) as applied to physical and mechanical systems. Students will gain experience in applied machine learning concepts, building an understanding of how such algorithms can support real-world systems. The students will learn to use industry-standard tools and libraries to apply ML in computer vision, anomaly detection, robotics/autonomy, among other areas. Additionally, students will gain an understanding of key factors relating to the application of ML in real-world systems, including the conditions under which ML is an appropriate tool to use, human-machine interaction considerations, and sociological and ethical considerations. Offered by Mechanical Engineering . Limited to two attempts.