2.830[J] Control of Manufacturing Processes


Class Info

Statistical modeling and control in manufacturing processes. Use of experimental design and response surface modeling to understand manufacturing process physics. Defect and parametric yield modeling and optimization. Forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control. Application contexts include semiconductor manufacturing, conventional metal and polymer processing, and emerging micro-nano manufacturing processes.

This class has 2.008, 6.041B, 6.152, and 15.064 as prerequisites.

2.830[J] will not be offered this semester. It will be instructed by D. E. Hardt and D. S. Boning.

This class counts for a total of 12 credits. This is a graduate-level class.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+Semiconductor+Manufacturing&btnG=Google+Search&inurl=https site.

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