Chevron Left
Back to Factorial and Fractional Factorial Designs

Learner Reviews & Feedback for Factorial and Fractional Factorial Designs by Arizona State University

4.7
stars
75 ratings

About the Course

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....

Top reviews

SH

Dec 21, 2020

Dense, very to the point and extremely useful course for me. I only wish there was more example videos in JMP.

SK

Feb 3, 2022

Great course for reasearcers and scientists who want perform experiments in a scientific way

Filter by:

1 - 19 of 19 Reviews for Factorial and Fractional Factorial Designs

By Diego G

Nov 26, 2020

Out of the four courses belonging to the DoE specialization, this and the first are the ones giving you the most, in my opinion. That's because they are the most practical and it's easy to translate into exercises and examples what you learn.

By Abhishek A

Sep 21, 2020

thanks montgomery sir, and thanks to arizona state university

By Dr. R R R

Jul 26, 2020

Gain valuable insights into the Design of Experiments.

By José M P C

Sep 7, 2020

Excellent!

By Sarallah H

Dec 22, 2020

Dense, very to the point and extremely useful course for me. I only wish there was more example videos in JMP.

By 杜傳彬

Aug 10, 2022

peer assessment is poor, but teaching JMP how to use is great.

By Eric G

Sep 7, 2021

I think this would be a more effective course if there was a way to communicate with an instructor or TA for help on assginment questions.

By John B

May 11, 2023

Wasnt able to access the JMP pro software that is required for the class. No help from course teachers, nor from Coursera.

By Greg E

Oct 29, 2023

This class was really well done. Dr. Montgomery is a great presenter. Some of the terminology I have not encountered in my discipline (i.e., I haven't heard of the the factor levels referred to a, b, ab, etc. in survey design), and it would have been nice to repeat the meaning of those letters in some lessons to provide additional clarity. That's a small critique, and otherwise have only praise. Highly recommend the class to anyone interested in DOE.

By Subbu K

Feb 4, 2022

Great course for reasearcers and scientists who want perform experiments in a scientific way

By Allan J G

Dec 18, 2021

New ways of understanding it, beyond the textbook, thanks to Professor Montgomery

By Phương L N T

Dec 2, 2021

Great course with precious materials and knowlegde for R&D process.

By Miguel A H M

May 30, 2022

La información abordada es muy novedosa y útil en varios aspectos.

By Geraldo L F L F

Nov 20, 2020

Objective and practical course, EXCELLENT.

By ROMMEL A

Sep 5, 2021

Excelente curso para aprender mucho mas

By Angel O A R

Sep 2, 2022

Exc elent course!

By Shivani G

Apr 3, 2022

mlkml

By Lorenzo C

Jun 14, 2023

The course was very nice. The only issues I encountered concerned the fact that the questions in the quiz were not always matching with what was explained in the lectures.

By Karolina W

Oct 23, 2020

Good course. I enjoyed it.