ENCH 659 - Statistical Design of Experiments

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This course introduces the basic concepts which underlie modern statistically designed experimental programs. The methods taught in this course allow the experimenter to discriminate between real effects (those caused by changes in controlled variables) and experimental error in systems which are inherently noisy. Statistically designed experimental programs typically test many variables simultaneously, and are very efficient tools for developing empirical mathematical models which accurately describe physical and chemical processes. They are readily applied to production plant, pilot plant and laboratory systems, and should be a part of every practicing engineer’s repertoire. At the end of this course, the student will be able to select an appropriate experimental design for the problem at hand, to set up, conduct and analyze the results of statistically designed experiments, and to understand the statistical basis for these techniques.
Prerequisite: Prerequisite: ENCH 427 and ENCH 440.