Applied Statistics in Research and Development
- Course ID: ELA138
- Type: eLearning (online) Course
- Language: English
- Skill Level: Intermediate
- Duration: 12 hours
- CEUs: 1.20
- PDHs: 12.00
- Accrediting Agencies:
Applied statistics expert David Clough begins by bringing you up-to-speed on classical statistical methods using Excel and then introducing the R package with just-in-time applications. You’ll uncover smoothing methods unknown to many engineers and scientists and how to apply them to examine trends in data. You’ll learn how to develop factorial and fractional factorial designs for your experiments and apply the analysis of variance (ANOVA) to the results. In addition, you’ll see how to estimate parameters in algebraic and differential equation models and carry out both linear and nonlinear regression and generate mixture designs.
This course is highly interactive with frequent opportunities to participate in hands-on exercises. You’ll gain experience in live regression calculations, creating custom optimal designs, stepwise regression, and more. By the end of the course, you’ll have a firm grasp of the new concepts presented and the confidence to effectively implement them on your own.
Dr. David Clough has taught applied statistics at the undergraduate and graduate levels to chemical engineering students for the past 20 years. At the graduate level, his students have included practicing professionals.
Dr. Clough recently retired after a 43-year career on the faculty of Chemical and Biological Engineering at the University of Colorado’s Boulder Campus. He is still active in the Department in the Emeritus role, including the supervision of research in applied process control. He teaches several AIChE Academy courses, both in-person and eLearning...Read more
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