List of all IE courses

Information
3 Credits
Spring term, odd years
Lecture

Prerequisites
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.
Contact
David Kim
541.737.8858
424 Rogers Hall

Course Description

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).

Topics

  • 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
    • RSM
    • Robust parameter design

Learning Outcomes

The student, upon completion of this course, will be able to:

  1. Design/apply fractional factorial experiments for simple experimental case studies. Analyze data collected for such experiments.
  2. Fit linear regression models to various data sets.
  3. Develop sum of squares and expected mean squares for a variety of balanced factorial and balanced nested designs.
  4. Summarize the main aspects of the “no-name” approach to DOE.