A. Design of Experiments (DOE)
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Planning and organizing
experiments
Describe and apply the basic elements of experiment
planning and organizing, including determining
the experiment objective; selecting factors,
responses
and measurement methods; choosing the appropriate
design, etc. (Evaluation)
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Design and analysis of
one-factor experiments
Construct these experiments such as completely
randomized block and Latin
square designs, and apply computational
and graphical methods to analyze and evaluate
the significance of results. (Evaluation)
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Design and analysis of
full-factorial
experiments
Construct these experiments and apply computational
and graphical methods to analyze and evaluate
the significance of results. (Evaluation)
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Design and analysis of
two-level fractional factorial experiments
Construct experiments (including
Taguchi designs) and apply computational
and graphical methods to analyze and evaluate
the significance of results; understand limitations
of fractional factorials due to confounding.
(Evaluation)
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Taguchi robustness concept
Apply Taguchi robustness
concepts and techniques such
as signal-to-noise
ratio, controllable and noise
factors, and robustness to external sources
of variability. (Analysis)
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Mixture
experiments
Construct these experiments and apply computational
and graphical methods to analyze and evaluate
the significance of results. (Analysis)
B. Response Surface Methodology
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Higher-order experiments
Construct experiments such as CCD,
Box
Behnken, etc., and apply computational
and graphical methods to analyze the significance
of results. (Analysis)
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Evolutionary Operations
(EVOP)
Understand the application and strategy of
EVOP.
(Comprehension)
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