ME 5310 - Machine Learning Engineering Design

(4 credits)

Infer the behavior of engineering systems using data-driven machine learning methods including dimension reduction, supervised/unsupervised learning, regression and model selection, clustering and classification, support vector machines, and neural networks and deep learning. MATLAB codes are developed and used in engineering applications. Knowledge of linear algebra and optimization is recommended.

Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.