Design and Analysis of Experiments

3 credits · Graduate Programs

Statistical Design of Experiments (DOE) techniques for efficient data collection, analysis and interpretation. Analysis of Variance (ANOVA), including blocking and nesting, in full and fractional factorial designs. Robust design, including classical response surface and Taguchi techniques. Applications to product and process improvement. Antirequisite(s): Credit for Manufacturing Engineering 609 and 517 will not be allowed.