This course is part of the Design of Experiments Specialization

4.6
stars
211 ratings

Douglas C. Montgomery

14,976 already enrolled

Offered By

Design of Experiments SpecializationArizona State University

About this Course

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This is a basic course in designing experiments and analyzing the resulting data. The course objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Opportunities to use the principles taught in the course arise in all aspects of today’s industrial and business environment. Applications from various fields will be illustrated throughout the course.  Computer software packages (JMP, Design-Expert, Minitab) will be used to implement the methods presented and will be illustrated extensively. 
All experiments are designed experiments; some of them are poorly designed, and others are well-designed. Well-designed experiments allow you to obtain reliable, valid results faster, easier, and with fewer resources than with poorly-designed experiments. You will learn how to plan, conduct and analyze experiments efficiently in this course.

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Shareable Certificate

Earn a Certificate upon completion

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Course 1 of 4 in the

Design of Experiments Specialization

Intermediate Level

Approx. 12 hours to complete

English

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What you will learn

By the end of this course, you will be able to:
Approach complex industrial and business research problems and address them through a rigorous, statistically sound experimental strategy
Use modern software to effectively plan experiments
Analyze the resulting data of an experiment, and communicate the results effectively to decision-makers.

Skills you will gain

statistical Methods for Process and Product improvement
design of experiments
experiment design
designing experiments

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 1 of 4 in the

Design of Experiments Specialization

Intermediate Level

Approx. 12 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.71/5 (109 Ratings)

Douglas C. Montgomery

Regents’ Professor of Engineering, ASU Foundation Professor of Engineering

School of Computing, Informatics, and Decision Systems Engineering

16,386 Learners

4 Courses

Offered by

Arizona State University

Arizona State University has developed a new model for the American Research University, creating an institution that is committed to excellence, access and impact. ASU measures itself by those it includes, not by those it excludes. ASU pursues research that contributes to the public good, and ASU assumes major responsibility for the economic, social and cultural vitality of the communities that surround it.

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Syllabus - What you will learn from this course

Content Rating96%(1,435 ratings)

Week1

Week 1

4 hours to complete

Unit 1: Getting Started and Introduction to Design and Analysis of Experiments

4 hours to complete

6 videos (Total 54 min), 6 readings, 2 quizzes

6 videos

Instructor Welcome3mCourse Introduction4mSpecialization Overview2mHistory of DOX17mThe Basic Principles of DOX11mFactorial Designs with Several Factors14m

6 readings

Course Description10mCourse Textbook and Resources10mBest Practices in Online Learning (or How to Succeed in This Class)10mCourse Project10mUnit 1 Introduction10mIntroduction to course project10m

1 practice exercise

Concept Questions30m

Week2

Week 2

4 hours to complete

Unit 2: Simple Comparative Experiments

4 hours to complete

9 videos (Total 96 min), 1 reading, 3 quizzes

Week3

Week 3

3 hours to complete

Unit 3: Experiments with a Single Factor - The Analysis of Variance

3 hours to complete

10 videos (Total 84 min), 1 reading, 2 quizzes

10 videos

Analysis of Variance (ANOVA)12mModels for the Data10mANOVA for Plasma Etching Experiment9mPost-ANOVA Comparison of Means9mSample Size Determination7mExamples of Single-Factor Experiments9mThe Random Effects Model8mExample of Random Factor Experiment7mPlasma Etching Example5mFabric Strength Example2m

1 reading

Unit 3 Introduction: Experiments with a Singe Factor; the Analysis of Variance10m

2 practice exercises

Concept Questions30mExercise 230m

Week4

Week 4

2 hours to complete

Unit 4: Randomized Blocks, Latin Squares, and Related Designs

2 hours to complete

6 videos (Total 52 min), 1 reading, 2 quizzes

Reviews

4.6

55 reviews

5 stars
78.19%
4 stars
14.69%
3 stars
3.31%
2 stars
0.94%
1 star
2.84%

TOP REVIEWS FROM EXPERIMENTAL DESIGN BASICS

by YKOct 5, 2020

I really enjoyed the class. Helped me to refresh my knowledge. Thanks for the basics!

by PJSep 3, 2022

excepcional! excelente para quem quer não só ter um pensamento critico melhor, mas também sobre como aprender mais sobre essa área sensacional

by WBSep 11, 2022

Excellent course. It is designed for everyone to understand the principles of the DOE in every field you stand.

by PPFeb 14, 2023

This course provides basic knowledge about experiment design, leading to the foundation of a quality manager or project management.

View all reviews

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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
What is the refund policy?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Experimental Design Basics

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