Machine Learning for Engineering Project

2 credits

Provides opportunity to apply skills learned during previous graduate work. Students practice end-to-end implementation of previously learned methods to solve intermediate and advanced problems and evaluate their work from the perspectives of efficacy, accuracy, safety, and ethics. Students practice project management and communication of technical concepts. Prerequisite: ENGR 520, which may be taken concurrently; recommended: minimum two quarters of mathematics-intensive graduate coursework; and understanding of core graduate-level engineering mathematics and introductory machine learning. Offered: Sp.