This course introduces the basic concepts which underlie the design of experiments. The use of statistical methods to discriminate between real effects (those caused by changes in controlled variables) and experimental error in systems which are inherently noisy are taught. Statistically designed experimental programs which can help test many variables simultaneously are very efficient tools for developing empirical mathematical models which accurately describe physical and chemical processes. These techniques are readily applied to production plant, pilot plant and laboratory systems, and should be a part of every practicing life science professional'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.

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