ENME697
Advanced Data Science in Manufacturing Quality Control
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.
Spring 2025
6 reviews
Average rating:
2.50
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.