Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Arizona State University

Response Surfaces, Mixtures, and Model Building

Arizona State University via Coursera


Factorial experiments are often used in factor screening.; that is, identify the subset of factors in a process or system that are of primary important to the response. Once the set of important factors are identified interest then usually turns to optimization; that is, what levels of the important factors produce the best values of the response. This course provides design and optimization tools to answer that questions using the response surface framework. Other related topics include design and analysis of computer experiments, experiments with mixtures, and experimental strategies to reduce the effect of uncontrollable factors on unwanted variability in the response.


  • Unit 1: Additional Design and Analysis Topics for Factorial and Fractional Factorial Designs
  • Unit 2: Regression Models
  • Unit 3: Response Surface Methods and Designs
  • Unit 4: Robust Parameter Design and Process Robustness Studies

Taught by

Douglas C. Montgomery

Related Courses


Start your review of Response Surfaces, Mixtures, and Model Building

Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free