| Call Number | 10265 |
|---|---|
| Points | 1.5 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructors | David Sandalow Alp Kucukelbir |
| Type | SEMINAR |
| Method of Instruction | In-Person |
| Course Description | This advanced seminar examines the intersection of artificial intelligence (AI) and climate change mitigation and adaptation. The course explores how AI can reduce greenhouse gas emissions across key sectors such as power, manufacturing, and food systems, as well as the challenges posed by AI’s own energy use and carbon footprint. Students analyze opportunities and risks associated with deploying AI tools for climate action, including large language models and machine learning applications. |
| Web Site | Vergil |
| Department | Climate, Energy, & Environment |
| Enrollment | 0 students (20 max) as of 9:05PM Friday, August 8, 2025 |
| Subject | Climate, Energy, & Environment |
| Number | IA7330 |
| Section | 001 |
| Division | School of International and Public Affairs |
| Open To | SIPA |
| Section key | 20261CEEN7330U001 |