ME 453
ME 453 - Data Sci in Mfg Quality Cntrl
Fall 2024
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Data Sci in Mfg Quality Cntrl | ME453 | DSG | 73109 | LCD | 3 | 1300 - 1420 | M W | 106B1 Engineering Hall | Ricardo Toro Santamaria James Nam Sam Wilson |
| Data Sci in Mfg Quality Cntrl | ME453 | DSU | 73108 | LCD | 3 | 1300 - 1420 | M W | 106B1 Engineering Hall | Ricardo Toro Santamaria James Nam Sam Wilson |
| Data Sci in Mfg Quality Cntrl | ME453 | ONL | 73424 | ONL | 3 | - | Ricardo Toro Santamaria James Nam Sam Wilson | ||
| Data Sci in Mfg Quality Cntrl | ME453 | ZJ1 | 78784 | ONL | 3 | - | Ricardo Toro Santamaria |
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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.