List of all ME courses

4 Credits
Spring term, even years
Lecture Only

Graduate Standing
Chris Hoyle
414 Rogers Hall

Course Description

The course will tackle the problem of decision making in engineering design. The fundamental challenge faced in making decisions in engineering designs is that they are almost exclusively decisions made under uncertainty. Sources of uncertainty could result from engineering models, experiments conducted, or lack of knowledge of future events.


  • Introduction to decision-making paradigms
  • Use of utility theory in decision-making
  • Methods for uncertainty quantification
  • Introduction to optimization
  • Methods for discrete choice analysis

Learning Outcomes

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

  1. Describe the decision-based design (DBD) approach as a generic tool for optimal design decision making, with emphasis on applications in engineering design (product & process).
  2. Understand uncertainty and its quantification.
  3. Describe the mathematical fundamentals of utility theory and discrete choice analysis
  4. Apply the course material to graduate research or engineering applications.