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ME 453 ONL - Data Sci in Mfg Quality Cntrl

Campus: Urbana-Champaign

Description:

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 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Fall


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