Applied Machine Learning for Self-Driving Cars. 3 credits, 4 contact hours

Catalog description

This course is to introduce technologies for self-driving with a focus on machine learning and edge computing. The course is composed of two main parts: 1) basic machine learning frameworks and methods for self-driving; and 2) conducting research and implementing self-driving algorithms using auto racing simulator. Students are expected to have basic knowledge of machine learning and Python coding before taking the course.