Credits: 3
Introduces manufacturing quality management in the big data era. Students will learn quality improvement philosophies, statistical modeling of process quality (statistical process control and control charts), and measurement system analysis (gauge repeatability and reproducibility). Students will also explore the application of machine learning towards quality prediction and classification of manufactured products, and understand the limitations of applied supervised and unsupervised machine learning in the realm of manufacturing quality control.
Description
Prerequisite: A grade of C- or higher in ENME202 and ENME392.
Restriction: Permission of ENGR-Mechanical Engineering department.
Jointly offered with: ENME697.
Credit only granted for: ENME437 or ENME697.
Semesters Offered
Spring 2025
Testudo