Climate Risk Analysis and Urban Sustainability

Catalog description

This course explores climate risks, focusing primarily on the analysis of physical risks, including hurricanes, floods, and heatwaves. Students will engage with statistical modeling and uncertainty quantification to assess both physical and transition risks to people, infrastructure, and the economy. Key topics include assessing vulnerabilities in the urban environment, the effects of extreme weather events, and the impacts of climate change. The class will utilize advanced statistical methods and risk modeling techniques, working with large datasets to inform analyses. Discussions will feature state-of-the-art quantitative concepts, supplemented by case studies that illustrate real-world challenges. Guest speakers from the climate risk field will share insights on effective risk mitigation strategies and modeling. This course is designed for graduate students interested in risk and climate for practice and research. Knowledge of undergraduate-level statistics and probability, as well as experience in data visualization using Python, is required. The class will meet regularly for lectures and discussions of reading assignments. Students will complete homework assignments and projects in the field of climate risk and resilience.