Machine Learning Research Experience

4 credits · College of Engineering catalogue

Advisory Prerequisite: None. Enforced Prerequisite: EECS 442 or 445 or 448 or 474 or 476 or 487 or 492 or [(EECS 281 or 291) and DATASCI 415]; No OP/F . Minimum grade requirement of “C” for enforced prerequisite. (4 credits) Introduction to research in machine learning. Takes students through the broad strokes of doing research, with both autonomy and sufficient scaffolding, to allow students to explore cutting-edge machine learning research while expanding their understanding of the research process. Culminates with a conference-like experience complete with talks, posters, paper submissions and peer reviews.