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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