Spring 2026 Climate, Energy, & Environment IA7330 section 001

Artificial Intelligence and Climate Chan

AI and Climate Change

Call Number 10265
Day & Time
Location
W 8:00am-9:50am
To be announced
Points 1.5
Grading Mode Standard
Approvals Required None
Instructors David Sandalow
Alp Kucukelbir
Type SEMINAR
Method of Instruction In-Person
Course Description

Priority Registration for CEE Students through Nov. 24. Pre-reqs: CEEN IA7200: Fundamentals of Environmental Economics and Policy, or CEEN IA7300: Energy Systems Fundamentals, or SUMA PS5155: Energy Markets and Innovation. Instructor permission is also required for registration. Join the waitlist in Vergil to request registration.

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 2 students (20 max) as of 9:13PM Thursday, November 20, 2025
Subject Climate, Energy, & Environment
Number IA7330
Section 001
Division School of International and Public Affairs
Open To SIPA
Note Meets alternate weeks, full semester
Section key 20261CEEN7330U001