SYSEN 6810

Last Updated

  • Schedule of Classes - June 11, 2025 2:48PM EDT

SYSEN 6810
AI for Sustainability

Course information provided by the 2025-2026 Catalog.

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.


Exploratory Studies (CU-SBY)

Last 3 terms offered 2025SP

Learning Outcomes REF-FA25

  • 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.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: CHEME 6810

  • 3 Credits Opt NoAud

  • 19812 SYSEN 6810   LEC 001

    • TBA
    • Aug 25 - Dec 8, 2025

    • You, F

  • Instruction Mode: Online

    Enrollment limited to: Master of Science (MS) and Doctor of Philosophy (PhD) students.

    Instructor Consent Required (Add)