Factorial and Fractional Factorial Designs (Coursera)

These types of experiments often include nuisance factors, and the blocking principle can be used in factorial designs to handle these situations. As the number of factors of interest grows full factorials become too expensive and fractional versions of the factorial design are useful. This course will cover the benefits of fractional factorials, along with methods for constructing and analyzing the data from these experiments.
What You Will Learn

- Conduct a factorial experiment in blocks and construct and analyze a fractional factorial design

- Apply the factorial concept to experiments with several factors

- Use the analysis of variance for factorial designs

- Use the 2^k system of factorial designs

Course 2 of 4 in the Design of Experiments Specialization.

Syllabus

WEEK 1: Introduction to Factorial Design

WEEK 2: The 2^k Factorial Design

WEEK 3: Blocking and Confounding in the 2^k Factorial Design

WEEK 4: Two-Level Fractional Factorial Designs