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. 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.
We are proud to offer the Design of Experiments Specialization through the Coursera platform. The course is instructed by 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 companies, including Motorola, Intel, Boeing and IBM.
