Data Analytics in Industrial Systems. (3-0) 3 Credit Hours

Catalog description

Prerequisite: ISE 3653 or equivalent. Introduction to discovery and communication of meaningful patterns in data with emphasis on industrial systems. Topics include data description (descriptive/visualization techniques), prediction (predictive modeling using machine learning), improve performance (optimization/decision making). Generally offered: Fall. This course has Differential Tuition.