This module explores the science of climate change and global warming, focusing on climate risks and extreme weather risks. Students will study the causes and effects of these risks, as well as strategies to mitigate them. The course will emphasize climate change and risk from an ESG perspective, including climate risk assessment and management, and natural catastrophes in reinsurance finance. Additionally, students will also use programming language to visualize and analyze climate datasets.
A: Understand the science of climate change and extreme weather events. B: Apply climate risk assessment methods to evaluate the vulnerability of ecosystems, infrastructure, and communities to extreme weather. C: Develop strategies for mitigating and adapting to climate risks, with a focus on enhancing resilience in vulnerable sectors. D: Apply programming language (e.g. Python) to analyze and visualize climate datasets. E: Communicate climate risk assessments effectively to stakeholders and integrating these insights into broader ESG frameworks.
This module is delivered by lecture, seminar, and lab sessions. The lab sessions will use Python language to visualize and analyze climate datasets. The seminars may include invited talks, field visits, and case studies, and include the students’ own presentations.