ME 453 ONL - Data Sci in Mfg Quality Cntrl
Manufacturing quality management in the big data era; quality improvement philosophies; statistical modeling of process quality; inferences about quality; statistical process control; control charts; machine learning and applications in quality engineering; quality classification/prediction with machine learning; design and implementation of quality monitoring systems based on supervised learning; measurement system analysis (gage R&R study); design of experiments. Course Information: 3 or 4 undergraduate hours. 3 or 4 graduate hours. Prerequisite: ME 270; IE 300 OR STAT 400; MATH 415.
Academic Program Restrictions:
MENG:Mech Engineering Onl-UIUC
Option 1Number of Required Visit(s): 0
Course Level: Graduate