3 credits
Fall 2025 Lecture Distance Learning Departmental CreditUpper DivisionMulti-objective decision making under risk and uncertainty; Group decision making; Sequential decision making; Model-based and data-driven decision making; Heuristics and biases in design decision making. Applications to engineering design including estimation of customer preferences, simulation-based design, and sustainable design.
Learning Outcomes1Formulate design decisions under risk and uncertainty.
2Apply multi-attribute utility theory to make decisions in engineering design.
3Evaluate the assumptions and limitations of commonly used decision-making methods.
4Identify heuristics and biases in design decision making.
5Adopt an interdisciplinary approach to design across engineering economics and social sciences.