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2025 Fall
Dec 10, 2025
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ENEV 886DI - AI Applications in Water Resources Engineering
The prediction and management of water resources are crucial aspects of water resources engineering. Over the years, AI models have been extensively developed and refined. These models can analyze historical data and current trends to forecast water availability and demand, thereby supporting more informed decision-making. In this course, we will explore and apply AI tools to address issues such as flooding, drought, risk management, and overall water resources analysis.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture, Directed Reading, Examination

*Environmental Sys Engineering Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

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