Introduction to 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 to understand sources of variation in performance. Robust design, including classical response surface and Taguchi techniques, to minimize effects of environmental factors on performance variability. Applications to product and process improvement.
This course may not be repeated for credit.

Sections

This course will be offered next in Fall 2018.