CEE 6400

Artificial Intelligence for Control of Environmental Systems

Course Description

Course information provided by the 2026-2027 Catalog.

The course has the dual objective of introducing students to the control problems characterizing modern environmental and water infrastructures while exposing them to real-world examples of how modelling and control analytics are used. Specific topics include: (1) dynamic programming and its main extensions (stochastic and approximate DP), (2) policy search for single- and multi-objective problems, (3) deterministic and stochastic model predictive control, (4) model-order reduction and its application to large-scale control problems. Emphasis will be given not only to the theoretical aspects underpinning the control problems, but also to their practical use. Examples will be drawn from several domains, including reservoir operations, urban water supply, drainage networks, and groundwater management. Emphasis will be also placed on the role that data analysis plays in the formulation of these control problems. Class periods will be a mixture of in-person lectures, group discussions, and hands-on activities.

Enrollment Information Enrollment limited to: graduate students; undergraduates by permission of instructor.

Last 4 Terms Offered 2026SP, 2025SP

Learning Outcomes

• Identify the modelling and control analytics that are best suited for a given environmental system.
• Formulate and solve an optimal control problem with the aid of modern programming languages.
• Analyze conflicting settings through the resolution of multi-objective control problems.

View Enrollment Information