CEEM597 - Designing for Resilience and Robustness

Course Description

Decision making for complex systems often necessitates the modeling of system dynamics, optimization across multiple conflicting objectives, the analysis of uncertainty, and the visual analysis of performance. The depth of analysis is often limited by the tools available to decision makers. Recently, however, a number of software packages have been developed and deployed specifically to aid in decision making for complex systems.

In this course, you will explore the latest options in real-world decision making in the face of uncertainty. You will also use the open source Python library Rhodium to examine the shallow lake problem by testing multiple problem formulations, examining trade-offs between conflicting objectives, and discovering consequential combinations of uncertainty. In your final project, you will examine your decisions in simulated situations of uncertainty.

Faculty Author

Benefits to the Learner

• Determine appropriate times to use analysis tools that more holistically account for design adaptivity and fragility to assumptions
• Examine methods for improving multi-objective management of tipping points
• Apply analysis skills for Python-based, multi-objective, robust decision making using the Rhodium tool

Target Audience

• 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

Applies Towards the Following Certificates

• Decision Analysis : Core Courses