NRE 5615: EnviroAI: Artificial Intelligence Applications in Environmental Management

Introduces students to the application of artificial intelligence (AI) and machine learning (ML) techniques from the rapidly growing field of AI to address environmental challenges. Through case studies on topics such as earth observation, forest ecosystems, water resources, wildlife and fisheries, and climate resilience, students will gain experience applying AI techniques to real-world environmental data. The course is designed to balance breadth and practice - providing an overview of applications across environmental domains while also offering manageable hands-on experiences that build practical skills without requiring in-depth technical expertise. Students will work with open-source datasets and AI tools, while critically examining the promises and limits of AI in advancing sustainability. Emphasizes both technical literacy and policy relevance, and prepares students to evaluate, design, and responsibly apply AI in environmental management contexts.

Credits

3

Offered

Fall 2026

Campuses

Storrs

Fall 2026 sections

Taught by Amal Perera, Chadwick Rittenhouse, and Chandi Witharana.

Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.

More courses

All NRE courses (Natural Resources and the Environment) · All UConn subjects