Design of Experiments (DOE) Online Course & Certificate

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20 contact hours
Used For:
2 Continuing Education Units
Course and Certificate:

Design of experiments (DOE) is a systematic, rigorous approach to engineering problem-solving that applies principles and techniques at the data collection stage so as to ensure the generation of valid, defensible, and supportable engineering conclusions. In addition, all of this is carried out under the constraint of a minimal expenditure of engineering runs, time, and money.

Design of experiments is a basic course in designing experiments and analyzing the resulting data. It is intended for engineers, scientists, and business professionals. The course deals with the types of experiments that are frequently conducted in industrial settings.

Applications from various fields of engineering (including chemical, mechanical, electrical, materials science, industrial, etc.) will be illustrated throughout the course. Computer software packages (Minitab) to implement the methods presented will be illustrated extensively, and you will have opportunities to use it for homework assignments and the term project.

After completing Design of Experiment, students will be equipped with a basic understanding of the following:

  • how to plan, design and conduct experiments efficiently and effectively
  • how to analyze the resulting data to obtain objective conclusions
  • how to use the principles in all phases of engineering work, including new product design and development, process development, and manufacturing process improvement.


This course is designed for scientists, engineers, or business professionals who desire to learn statistical and design experiments. Completion of Statistics: An Introduction for Beginners recommended.


 Students will be assigned 5 homework assignments, and 1 final exam. 

  1. Introduction

  2. Preparation

  3. Components of Experimental Design

  4. Purpose of Experimentation

  5. Design Guidelines

  6. Design Process

  7. One Factor Experiments

  8. Multi-factor Experiments

  9. Taguchi Methods

  10. Plackett Burman experiment

  11. Computer software (Minitab) examples


 This course is Instructor-led and delivered through our award-winning online Learning Management System. 

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