The University of Texas at Austin 3 credits Mechanical Engineering
Explore state-of-the-art approaches for data-informed decision-making and modeling in complex systems design. Apply various data-driven and theory-driven models to model, estimate, analyze, and predict decision-making behaviors of stakeholders in representative complex engineered systems, such as air transportation networks, power grids, and market systems. Mechanical Engineering 392M (Topic 11) and Mechanical Engineering 397 (Topic: DATA-DRVN DSGN/DEC-MAK CPX SYS) may not both be counted. Three lecture hours a week for one semester. Pre/Corequisites: Graduate standing, undergraduate coursework in engineering statistics, and consent of instructor.
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