CHEME 6810
AI for Sustainability
This studio-style course emphasizes collaborative learning and innovation in sustainability. Students will explore foundational and cutting-edge literature, research, and potential future directions in AI for Sustainability. The course will cover a range of topics related to the use of AI and machine learning in sustainability science and engineering, including energy systems decarbonization, sustainable agriculture, climate modeling, resource optimization, and biodiversity conservation. Students will gain hands-on experience with AI/ML methodologies, tools, and software and engage in discussions on the latest advancements and applications of AI in addressing global sustainability challenges.
Topics
- Describe the key challenges in applying AI to sustainability.
- Explain how to define and formulate AI-driven solutions to sustainability challenges, applying computational and AI techniques to address problems that span multiple scales and systems.
- Analyze and discuss existing literature on AI for Sustainability and related interdisciplinary research in science and engineering.
Official roster learning outcomes
Sources
Catalogue variants
- AI for Sustainability · 3.0 · Graduate