Spring term, even years
414 Rogers Hall
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
The student, upon successful completion of this course, will be able to:
- 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).
- Understand uncertainty and its quantification.
- Describe the mathematical fundamentals of utility theory and discrete choice analysis
- Apply the course material to graduate research or engineering applications.