ME 453 - Data Sci in Mfg Quality Cntrl
|Data Sci in Mfg Quality Cntrl||ME453||DSG||73109||LCD||3||1300 - 1420||M W||106B1 Engineering Hall||Chenhui Shao|
|Data Sci in Mfg Quality Cntrl||ME453||DSU||73108||LCD||3||1300 - 1420||M W||106B1 Engineering Hall||Chenhui Shao|
|Data Sci in Mfg Quality Cntrl||ME453||ZJ1||78784||LCD||3||-||Chenhui Shao|
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; either IE 300 or STAT 400; either MATH 257 or MATH 415.