Design of Experiments
About this course
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.
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- 31/45
- Who stands behind it
- 35/35
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- 16/20
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What you'll learn
- Understand factorial and fractional factorial experimental designs
- Learn to design experiments for screening and optimization
- Apply experimental design techniques in various industries
- Use software tools for data analysis in experimental design
Course objectives
- To equip students with the skills to design effective experiments
- To help students analyze and interpret experimental data
- To prepare students for real-world applications in various sectors
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