Design of Experiments Specialization

 

What you'll learn

Plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain valid objective conclusions.

Use response surface methods for system optimization as a follow-up to successful screening.

Use experimental design tools for computer experiments, both deterministic and stochastic computer models.

Use software tools to create custom designs based on optimal design methodology for situations where standard designs are not easily applicable.

Join Free: Design of Experiments Specialization

Specialization - 4 course series

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.

Applied Learning Project

Participants will complete a project that is typically based around their own work environment, and can use this to effectively demonstrate the application of experimental design methodology. The structure of the course and the step-by-stem process taught in the course is designed to ensure participant success.