CEE 6660

Multiobjective Systems Engineering Under Uncertainty

Course Description

Course information provided by the 2025-2026 Catalog.

Exploration of engineering design frameworks that effectively exploit simulation, optimization, and uncertainty assessments when balancing large numbers of conflicting performance objectives. Students will learn and advance software frameworks that combine evolutionary multiobjective optimization, high performance computing, uncertainty modeling techniques, and visual design analytics. The primary focus will be improving multi-stakeholder design of complex engineered systems. Course concepts will be demonstrated using case studies and projects drawn from the disciplines of the students enrolled.

Prerequisites programming experience, CS 4210 or ENGRD 3200, ORIE 3310, CEE 5970 or equivalents.

Enrollment Priority Enrollment limited to: graduate students.

Exploratory Studies (CU-SBY)

Last 4 Terms Offered 2025SP, 2024SP, 2020FA, 2019SP

Outcomes

• Incorporate conflicting objectives, account for system uncertainties, and exploit careful design diagnostics to guide problem formulation and capture key design dependencies.
• Use and advance software frameworks that combine evolutionary multiobjective optimization, high performance computing, uncertainty modeling techniques, and visual design analytics.
• Facilitate improved decision making in multi-stakeholder systems engineering design processes.
• Effectively communicate design analysis results visually and in writing.

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