AI-Driven Modeling and Simulation
Lecturer
Wuyue Yang (杨武岳, Assistant Professor, BIMSA)
Date
2025-09-30 ~ 2025-11-25
Schedule
Weekday Time Venue Online ID Password
Tue 08:50-12:15 A3-1-101 Zoom 537 192 5549 BIMSA
Introduction
This course explores cutting-edge techniques where artificial intelligence enhances the modeling and simulation of complex dynamical systems. Traditional approaches often struggle with high dimensionality, nonlinearity, and sparse data, but AI methods—such as data-driven system identification, AI-augmented agent-based modeling, and surrogate modeling—offer powerful solutions. Students will learn how machine learning can extract governing equations from data (e.g., SINDy, Neural ODEs), optimize agent behaviors in simulations, and construct efficient reduced-order models for computationally expensive systems. Applications span physics, biology, economics, and engineering, emphasizing real-world case studies and hands-on implementation.
Video Public
No
Notes Public
No
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