Design of Experiments Specialization

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Upcoming Dates

New sessions coming in Fall 2018.

Program Fee

This specialization is offered through the Coursera subscription service, charged on a monthly basis. To subscribe to Coursera or take advantage of the free trial period, please visit Coursera.org. Your subscription can be cancelled at any time.

Contact Information

For more information on professional programs or certfications contact:

Professional & Executive Education
exec-fseonline@asu.edu
(480) 727-4534

or fill out our "Request for Information" form at the bottom of the page. 

Well-designed experiments are a powerful tool for developing and validating cause and effect relationships between factors when evaluating and improving product and process performance. Deliberately changing the input variables to a system allows for observation and identification of the reasons for the change that may be observed in the output responses. Design of experiments can identify important interactions that are usually overlooked when experimenters vary only one factor at a time (OFAT experimentation). Unfortunately, OFATS are still widely used in many experimental settings.

Design of Experiments can be used in a variety of experimental situations. This program is suitable for participants from a broad range of industries, including electronics and semiconductor, automotive, aerospace, chemical and process, pharmaceutical, medical device, and biotechnology. There are also many business and commercial applications of designed experiments, including marketing, market research, and e-commerce. Program participants will learn how to run effective and strong experiments using modern statistical software. 

Program Description

We are proud to offer the Design of Experiments specialization through the Coursera platform. The course is instructed by Dr. Doug Montgomery, a Regents Professor of industrial engineering and statistics in the Ira A. Fulton Schools of Engineering at ASU, and an expert in experimental design. Dr. Montgomery has taught academic courses on experimental design for over 40 years, and his Design of Experiments textbook, in its 10th edition and utilized in the specialization, is the most widely used textbook on the subject in the world. He has also led numerous engagements with Design of Experiments, teaching the course and consulting for more than 250 companies, including Motorola, Intel, Boeing and IBM. Drawing from these commercial experiences, Montgomery provides participants with an accurate understanding of modern approaches to using Design of Experiments.

The specialization is offered in a four-course format, with each course comprising three-to-four units and, in most courses, an applied project to demonstrate the tools and concepts learned. Accessible entirely online, the courses can be attempted at your own pace. We recommend completing one unit per week.

Specialization Courses

Experimental Design Basics

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

Unit 2: Simple Comparative Experiments

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

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

Factorial and Fractional Factorial Designs

Unit 1: Introduction to Factorial Design

Unit 2: The 2^k Factorial Design

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

Unit 4: Two-Level Fractional Factorial Designs

 Response Surfaces, Mixtures, and Model Building

Unit 1: Additional Design and Analysis Topics for Factorial and Fractional Factorial Designs

Unit 2: Regression Models

Unit 3: Response Surface Methods and Designs

Unit 4: Robust Parameter Design and Process Robustness Studies

Random Models, Nested and Split-Plot Designs

Unit 1: Experiments with Random Factors

Unit 2: Nested and Split-Plot Designs

Unit 3: Other Design and Analysis Topics

If you would like to take all four courses, we recommend taking them in the above order. Each subsequent course will build on materials from the previous.

Learning Outcomes

Learning outcomes are organized by course. By completing all four courses, participants will:

  • Organize a step-by-step process for designing, conducting and analyzing that experiments will lead to successful results
  • Collect, analyze, and interpret data to provide the knowledge required for project success
  • Demonstrate effective use of a wide range of modern experimental tools that enable practitioners to customize their experiment to meet practice resource constraints
  • Use the analysis of variance, ANOVA, to analyze data from single-factor experiments with several factor levels

Earning a Certificate

The Design of Experiments specialization is offered 100% online and through the Coursera platform. Participants can complete any of the four courses to receive a certificate of completion, and can complete all four to receive the specialization, thus mastering experimental design.

Who Should Enroll

These courses are open to any that are interested in learning about experimental design tools. Any person working in modern industry can apply the tools acquired in these courses to their current and future positions.

Pre-requisites

We recommend working knowledge of a basic statistics course. The basic fundamentals will be covered in the Experimental Design Basics course.

Textbook and Software

The textbook used throughout the specialization is Design and Analysis of Experiments, 10th Edition by Dr. Douglas C. Montgomery. Students are recommended to purchase or rent the textbook, but not required. The courses within the specialization also utilize JMP statistical software. Students have access to a free trial in the courses.