What will I learn from this course?
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Appreciate Scuba diving techniques about statistical models
Requirements
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Anybody who is interested to know manufacturing processes
Who is the target audience?
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Anybody who is interested to know manufacturing processes
Description
This course explores statistical modeling and control in manufacturing processes. Topics include the use of experimental design and response surface modeling to understand manufacturing process physics, as well as defect and parametric yield modeling and optimization. Various forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control, are covered. Application contexts include semiconductor manufacturing, conventional metal and polymer processing, and emerging micro-nano manufacturing processes.
Course Curriculum
- Lec 1: Control of Manufacturing Processes 1h 5m 13s
- Lec 2: Control of Manufacturing Processes 1h 25m 16s
- Lec 3: Control of Manufacturing Processes 1h 27m 21s
- Lec 4: Control of Manufacturing Processes 1h 22m 35s
- Lec 5: Control of Manufacturing Processes 1h 21m 32s
- Lec 6: Control of Manufacturing Processes 1h 21m 21s
- Lec 7: Control of Manufacturing Processes 1h 20m 39s
- Lec 8: Control of Manufacturing Processes 1h 20m 4s
- Lec 9: Control of Manufacturing Processes 1h 24m 2s
- Lec 10:Control of Manufacturing Processes 1h 19m 10s
- Lec 11: Control of Manufacturing Processes 1h 16m 24s
- Lec 12: Control of Manufacturing Processes 1h 15m 52s
- Lec 13: Control of Manufacturing Processes 1h 18m 23s
- Lec 14: Control of Manufacturing Processes 1h 20m 47s
- Lec 15: Control of Manufacturing Processes 1h 21m 57s
- Lec 16: Control of Manufacturing Processes 1h 24m 17s
- Lec 17: Control of Manufacturing Processes 1h 17m 59s
- Lec 18: Control of Manufacturing Processes 1h 34m 35s
- Lec 19: Control of Manufacturing Processes 1h 21m 32s
- Lec 20: Control of Manufacturing Processes 1h 23m 17s
- Lec 21: Control of Manufacturing Processes 1h 52m 34s
- Lec 22: Control of Manufacturing Processes 1h 20m 51s
About Tutor
Dr. Duane S. Boning is the Clarence J. LeBel Professor in Electrical Engineering, and Professor of Electrical Engineering and Computer Science in the EECS Department at MIT.
He is affiliated with the MIT Microsystems Technology Laboratories, and serves as MTL Associate Director for Computation and CAD. From 2004 to 2011,
he served as Associate Head of the EECS Department at MIT, and from 2011 through 2013 as Director/Faculty Lead of the MIT Skoltech Initiative.
He is currently Director of the MIT/Masdar Institute Cooperative Program.
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