Computational Methods for Engineering Sustainable Systems

4-0-8 units · Graduate

Provides a comprehensive introduction to computational tools and systems approaches for addressing sustainability challenges in ecosystems, climate, transportation urban systems, and energy systems (including decarbonization). Using dynamical systems models, optimization techniques, and data-driven approaches, students explore how to analyze and design sustainable systems, balance physical, environmental, and economic considerations, and make decisions under uncertainty. Computational projects focus on real-world case studies. Students taking graduate version complete additional assignments.