Data and Mechanical Engineering

Catalog description

This course introduces students to data-driven methods, machine learning, and optimization in mechanical engineering contexts. The course starts with a crash course in Python programming and review of linear algebra to support course content, homework assignments, and projects. Students will learn the fundamentals of and use computational tools involving data-heavy problems relevant to fluid mechanics, solid mechanics, and control theory. The tools and approaches covered and used in the course will prepare students for jobs and/or graduate studies involving data-oriented problems in mechanical engineering.