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IEM 4113 - Industrial
Experimentation |
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Prerequisite(s):
3103. Analytical methods for the purpose of process improvement.
Experimental designs including single, blocked and multiple factors.
Introduction to fractional factorial designs, central composite designs,
and Taguchi robust designs. Data collection, analysis, and
interpretation, including graphical methods, confidence intervals, and
hypothesis tests. Multiple linear regression analysis methods.
Industrial applications.
Instructor:
Dr. William Kolarik
Dates: August 18 - December 5
Add/Drop Dates
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Textbook Information:
No Textbook
Required.
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