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Arizona State University

Design of Experiments

Arizona State University via Coursera 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. You can see an overview of the specialization from Dr. Montgomery here.


Course 1: Experimental Design Basics
- Offered by Arizona State University. This is a basic course in designing experiments and analyzing the resulting data. The course objective ... Enroll for free.

Course 2: Factorial and Fractional Factorial Designs
- Offered by Arizona State University. Many experiments in engineering, science and business involve several factors. This course is an ... Enroll for free.

Course 3: Response Surfaces, Mixtures, and Model Building
- Offered by Arizona State University. Factorial experiments are often used in factor screening.; that is, identify the subset of factors in a ... Enroll for free.

Course 4: Random Models, Nested and Split-plot Designs
- Offered by Arizona State University. Many experiments involve factors whose levels are chosen at random. A well-know situation is the study ... Enroll for free.


Taught by

Douglas C. Montgomery

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