In complex engineered systems and design processes, you do not have the luxury of having fully defined decision alternatives with a clear mapping of their performance trade-offs or consequences. As you transition from classical discrete-choice problems, problem structuring and evaluation tools must become more advanced in their ability to explore large design problems while providing innovative decision analytical tools for helping to clearly map possibilities, their trade-offs, and key consequences.

In this course, you will discover how to formulate multi-objective design problems and more formally consider theirtrade-offs using the concepts of non-dominance, Pareto optimality, and a posteriori decision support.