About this Course

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Flexible deadlines
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Intermediate Level
Approx. 9 hours to complete
English
Subtitles: English

What you will learn

  • Design and analyze experiments where some of the factors are random

  • Design and analyze experiments where there are nested factors or hard-to-change factors

  • Analyze experiments with covariates

  • Design and analyze experiments with nonnormal response distributions

Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 9 hours to complete
English
Subtitles: English

Offered by

Arizona State University logo

Arizona State University

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Unit 1: Experiments with Random Factors

4 hours to complete
6 videos (Total 46 min), 5 readings, 3 quizzes
6 videos
Course Introduction5m
Estimating the Variance Components12m
Maximum Likelihood Approach7m
The Two-Factor Mixed Model11m
Measurement System Study Example4m
5 readings
Course Description10m
Course Textbook and Resources10m
Best Practices in Online Learning (or How to Succeed in This Class)10m
Project Report10m
Unit 1: Introduction10m
2 practice exercises
Unit 1: Concept Questions30m
Exercise 130m
Week
2

Week 2

2 hours to complete

Unit 2: Nested and Split-Plot Designs

2 hours to complete
6 videos (Total 64 min), 1 reading, 2 quizzes
6 videos
Variations of the Nested Design11m
The Split-Plot Design14m
Unreplicated Designs and Fractional Factorial Designs in a split-plot framework11m
Purity Example4m
Tensile Strength of Paper Example7m
1 reading
Unit 2: Introduction10m
2 practice exercises
Unit 2: Concept Questions30m
Exercise 230m
Week
3

Week 3

3 hours to complete

Unit 3: Other Design and Analysis Topics

3 hours to complete
7 videos (Total 71 min), 1 reading, 3 quizzes
7 videos
The Grill Defects Experiment11m
The Analysis of Covariance13m
Design of Experiments with Known Covariates10m
Motor Oil Additive Experiment9m
Consumer Product Coupons Example5m
Factorial with Covariate Example4m
1 reading
Unit 3: Introduction10m
2 practice exercises
Unit 3: Concept Questions30m
Exercise 330m

About the Design of Experiments Specialization

Learn modern experimental strategy, including factorial and fractional factorial experimental designs, designs for screening many factors, designs for optimization experiments, and designs for complex experiments such as those with hard-to-change factors and unusual responses. There is thorough coverage of modern data analysis techniques for experimental design, including software. Applications include electronics and semiconductors, automotive and aerospace, chemical and process industries, pharmaceutical and bio-pharm, medical devices, and many others. You can see an overview of the specialization from Dr. Montgomery here....
Design of Experiments

Frequently Asked Questions

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  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

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