Data-Driven Design and Decision-Making in Complex Systems
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.
Prerequisites & course information
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.
Sources
- Course catalogue ↗2026-2027