A second course in experimental design methods in industry. Topics may include empirical model building, review of factorial and fractional factorial designs, process improvement with steepest ascent, analysis of response surfaces, experimental designs for fitting response surfaces, Taguchi’s robust parameter designs, experiments with mixtures. Prerequisite: STAT 321 - Industrial Design of Experiments I or instructor’s permission. Grade or P/NC. Offered when demand warrants.