Design of Experiments, 7.5 Credits

About the course

In many industrial applications, one is interested in how a response variable is affected by changes in a number of factors. By systematically varying the factor levels one can find the optimum of the response variable in a cost-effective way. This course covers the theory of the most common tools for systematic design of experiments and methods for the statistical analysis of experimental data. Special emphasis is placed on full and fractional two-level factorial designs. Methods for the analysis of response surfaces with associated designs are included, as well as strategies for sequential experimental design. Finally, robust design and split-plot experiments are covered. To assist in determining experimental designs and analyzing data, appropriate statistical software is used throughout the course.

Level of Education: Advanced

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2011-03-15