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 their trade-offs using the concepts of non-dominance, Pareto optimality, and a posteriori decision support.

 

How It Works

Course Length
2 weeks

Effort
3 to 5 hours of study per week

Format
100% online, instructor-led
  • Engineers in any field, including mechanical, electrical, civil, and environmental
  • Aspiring data scientists, data analysts, and market analysts
  • Anyone who needs to make highly consequential decisions or inform solutions in the face of uncertainty or multiple and conflicting objectives
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