Arizona State University - Factorial and Fractional Factorial Designs
- Offered byCoursera
- Public/Government Institute
Factorial and Fractional Factorial Designs at Coursera Overview
Duration | 12 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Factorial and Fractional Factorial Designs at Coursera Highlights
- Earn a certificate from the Arizona State university upon completion of course.
- Flexible deadlines according to your schedule.
Factorial and Fractional Factorial Designs at Coursera Course details
- Many experiments in engineering, science and business involve several factors. This course is an introduction to these types of multifactor experiments. The appropriate experimental strategy for these situations is based on the factorial design, a type of experiment where factors are varied together. This course focuses on designing these types of experiments and on using the ANOVA for analyzing the resulting data. 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.
Factorial and Fractional Factorial Designs at Coursera Curriculum
Unit 1: Introduction to Factorial Design
Instructor Welcome
Course Introduction
Introduction to Factorials
The Battery Life Experiment
Choice of Sample Size
Factorials with More Than Two Factors
Battery Life Example
Tool Life Example
Target Detection Example
Course Description
Course Textbook and Resources
Best Practices in Online Learning (or How to Succeed in This Class)
Project
Unit 1: Introduction
Unit 1: Concept Questions
Exercise 1
Unit 2: The 2^k Factorial Design
Analysis Procedure for a Factorial Design
Reduced Model
How Much Replication is Necessary?
ANOVA Summary - Full Model
The General 2^k Factorial Design
Estimates of the Effects
Other Methods for Analyzing Unpredicated Factorials
Outliers
The 2^k design and design optimality
Addition of Center Points to a 2^k Design
Plasma Etching Example
Filtration Rate Example
Unit 2: Introduction
Unit 2: Concept Questions
Exercise 2
Unit 3: Blocking and Confounding in the 2^k Factorial Design
Blocking a Replicated Design
Confounding in Blocks
Confounding in Blocks, Pt. 2
Filtration Rate with Blocking Example
Unit 3: Introduction
Unit 3: Concept Questions
Exercise 3
Unit 4: Two-Level Fractional Factorial Designs
Why do Fractional Factorial Designs Work?
Construction of a One-half Fraction
The General 2^(k-p) Fractional Factorial Design
Alias Structures in Fractional Factorials and Other Designs
Resolution III Designs
Plackett-Burman Designs
Resolution IV and V Designs
Filtration Rate Fractional Factorial Example
Eye Focus Time Example
Unit 4: Introduction
Unit 4: Concept Questions
Exercise 4
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