Credits: 3
Introduces students to advanced technologies - such as machine learning and tools, prognostics and health management (PHM), and data-centric engineering analytics - that ultimately enable the conversion of industrial big data into decision-ready information that can be used to improve the design, the productivity and the efficiency of industrial systems.
Description
Prerequisite: ENME202; or equivalent; experience using Python; or permission of the instructor.
Credit only granted for: ENME485 or ENME691.
Semesters Offered
Fall 2023, Spring 2024, Fall 2024, Spring 2025