Data-driven Modelling and Reduction of Large-scale Systems (Online course)

In the course students will explore cutting-edge techniques for efficient model reduction in simulation, optimization, and control of complex systems. Topics include advanced model reduction methods to simplify high-dimensional systems, data-driven optimization techniques, active subspaces for dimensionality reduction, and the application of Koopman operators to uncover hidden system dynamics.

By the course's end, participants will learn how to  simulate and optimize non-linear system, and gain valuable insights into large-scale systems using data-driven approaches, tackling some real-application.

LINK: https://univr.zoom.us/j/97153704517
Meeting ID: 971 5370 4517

Schedule of the minicourse:

Monday 18/11. 15:30 -17:30 Online

Monday 25/11. 15:30 -17:30 Online

Friday 06/12. 15:30 -17:30 Online

Lectures will be recorded, if you want access contact [giacomo.albi@univr.it]