Learn how to apply techniques from Artificial Intelligence and Machine Learning to solve engineering problems and design new products or systems. Design and build a personal or research project that demonstrates how computational learning algorithms can solve difficult tasks in areas you are interested in. Master how to interpret and transfer state-of-the-art techniques from computer science to practical engineering situations and make smart implementation decisions.
Prerequisite: Must have completed undergraduate level Statistics (ENME392 or equivalent), or permission of the instructor.
Credit only granted for: ENME440, ENME808E OR ENME743.
Semesters OfferedFall 2017, Fall 2018, Fall 2019, Fall 2020