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Engineering Systems Division

Engineering Systems of Civil Engineers Video Course By Duane Boning ( MIT)
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Students Enrolled: 1 Total Lecturs: 22
Refer & Earn

What will I learn from this course?

  • Appreciate Scuba diving techniques about statistical models

Requirements

  • Anybody who is interested to know manufacturing processes

Who is the target audience?

  • Anybody who is interested to know manufacturing processes

Course Curriculum

Total: 22 lectures

  • 1h 5m 13s

    Lec 1: Control of Manufacturing Processes

  • 1h 25m 16s

    Lec 2: Control of Manufacturing Processes

  • 1h 27m 21s

    Lec 3: Control of Manufacturing Processes

  • 1h 22m 35s

    Lec 4: Control of Manufacturing Processes

  • 1h 21m 32s

    Lec 5: Control of Manufacturing Processes

  • 1h 21m 21s

    Lec 6: Control of Manufacturing Processes

  • 1h 20m 39s

    Lec 7: Control of Manufacturing Processes

  • 1h 20m 4s

    Lec 8: Control of Manufacturing Processes

  • 1h 24m 2s

    Lec 9: Control of Manufacturing Processes

  • 1h 19m 10s

    Lec 10:Control of Manufacturing Processes

  • 1h 16m 24s

    Lec 11: Control of Manufacturing Processes

  • 1h 15m 52s

    Lec 12: Control of Manufacturing Processes

  • 1h 18m 23s

    Lec 13: Control of Manufacturing Processes

  • 1h 20m 47s

    Lec 14: Control of Manufacturing Processes

  • 1h 21m 57s

    Lec 15: Control of Manufacturing Processes

  • 1h 24m 17s

    Lec 16: Control of Manufacturing Processes

  • 1h 17m 59s

    Lec 17: Control of Manufacturing Processes

  • 1h 34m 35s

    Lec 18: Control of Manufacturing Processes

  • 1h 21m 32s

    Lec 19: Control of Manufacturing Processes

  • 1h 23m 17s

    Lec 20: Control of Manufacturing Processes

  • 1h 52m 34s

    Lec 21: Control of Manufacturing Processes

  • 1h 20m 51s

    Lec 22: Control of 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.

About Tutor

  • Tutor: Duane Boning ( MIT)
  • Tests Packages: 0
  • Students: 1
4.4

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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