Spring term, odd years
IE 552. Students should be familiar with the DOE topics of factorial designs, blocking, 2k factorial designs, experiments with random factors, and nested designs from both a conceptual and implementation perspective.
424 Rogers Hall
This is a second course in design of experiments that is a continuation of IE 552. The same text book is used. Topics covered include two-level fractional factorial designs, regression models, rules for expected sum of squares and expected mean squares, a summary of the “no-name” approach to DOE, and analysis of experiments with unbalanced data (time permitting).
- IE 552 topic review
- Blocking and confounding in 2k designs – Chapter 7
- Two-level fractional factorial designs – Chapter 8
- Regression and ANOVA – Chapter 10
- No-name approach to DOE
- Rules for EMS
- Selected topics as time permits:
- 3k designs
- Robust parameter design
The student, upon completion of this course, will be able to:
- Design/apply fractional factorial experiments for simple experimental case studies. Analyze data collected for such experiments.
- Fit linear regression models to various data sets.
- Develop sum of squares and expected mean squares for a variety of balanced factorial and balanced nested designs.
- Summarize the main aspects of the “no-name” approach to DOE.