ME 453

ME 453 - Data Sci in Mfg Quality Cntrl

Fall 2024

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Data Sci in Mfg Quality CntrlME453DSG73109LCD31300 - 1420 M W  106B1 Engineering Hall Ricardo Toro Santamaria
James Nam
Sam Wilson
Data Sci in Mfg Quality CntrlME453DSU73108LCD31300 - 1420 M W  106B1 Engineering Hall Ricardo Toro Santamaria
James Nam
Sam Wilson
Data Sci in Mfg Quality CntrlME453ONL73424ONL3 -    Ricardo Toro Santamaria
James Nam
Sam Wilson
Data Sci in Mfg Quality CntrlME453ZJ178784ONL3 -    Ricardo Toro Santamaria

Official 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; either IE 300 or STAT 400; either MATH 257 or MATH 415.