This course examines emerging modeling techniques for describing, optimizing, and controlling water and wastewater systems. We will focus on modern approaches for high fidelity representation of the physical, chemical, and biological processes in water treatment and distribution systems. We will cover physics-based, data driven, and hybrid physics-based / data-driven modeling approaches. We also emphasize the translation of theory to engineering by inviting guest lecturers to discuss how research and industry professionals develop and use these models. Homework will involve practicing the application of commercial modeling tools to representative problems. At the conclusion of the class, students will have gained familiarity with current and emerging modeling software used by the water industry and will have developed contacts at innovative digital firms in the water industry.
3 units · Letter (ABCD/NP)
This course examines emerging modeling techniques for describing, optimizing, and controlling water and wastewater systems. We will focus on modern approaches for high fidelity representation of the physical, chemical, and biological processes in water treatment and distribution systems. We will cover physics-based, data driven, and hybrid physics-based / data-driven modeling approaches. We also emphasize the translation of theory to engineering by inviting guest lecturers to discuss how research and industry professionals develop and use these models. Homework will involve practicing the application of commercial modeling tools to representative problems. At the conclusion of the class, students will have gained familiarity with current and emerging modeling software used by the water industry and will have developed contacts at innovative digital firms in the water industry.
Offered in Autumn 2026 at Stanford University.