Design of Experiments

Experiments vs observation. Confounding. Randomization. ANOVA. Blocking. Latin squares. Factorials and fractional factorials. Split plot. Response surfaces. Mixture designs. Optimal design. Central composite. Box-Behnken. Taguchi methods. Computer experiments and space filling designs. Prerequisites: STATS 116/118, STATS 191/203. See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.