This is an advanced course intended for master students in mechanical engineering who are interested in machine learning and data science.

Course Description

The class Fundamentals of Machine Learning (formerly, Computer Science in Mechanical Engineering II) covers state-of-the-art data science methods, and how to apply them to problems relevant to mechanical engineering. The course will cover the theoretical basics in probability theory, then move on to methods of modern machine learning. The class emphasizes both solid theoretical understanding of the algorithms, as well as hands-on programming exercises to apply them to problems in the context of engineering.