Response Surfaces, Mixtures, and Model Building (Coursera)

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.
What You Will Learn

- Conduct experiments w/computer models and understand how least squares regression is used to build an empirical model from experimental design data

- Understand the response surface methodology strategy to conduct experiments where system optimization is the objective

- Recognize how the response surface approach can be used for experiments where the factors are the components of a mixture

- Recognize where the objective of the experiment is to minimize the variability transmitted into the response from uncontrollable factors

Course 3 of 4 in the Design of Experiments Specialization

Syllabus

WEEK 1: Unit 1: Additional Design and Analysis Topics for Factorial and Fractional Factorial Designs

WEEK 2: Unit 2: Regression Models

WEEK 3: Unit 3: Response Surface Methods and Designs

WEEK 4: Unit 4: Robust Parameter Design and Process Robustness Studies