Design of Experiments

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

• Plan, design, and conduct experiments efficiently to obtain valid conclusions
• Apply response surface methods for system optimization
• Use experimental design tools for deterministic and stochastic computer experiments
• Utilize software to create custom experimental designs based on optimal design methods

• No deep prior experience required
• Basic computer and internet skills
• Ability to read English instructions and complete short exercises