This is a multi-choice course offered to current Graduate students interested in current research in broad fields of multi-physics/multi-scale problems and machine learning with different application domains. The course is sponsored by the Central European Association for Computational Mechanics (CEACM). It runs for 1.5 days, June 17-18, 2024, just before the CEACM S4ML 2024 conference, which is held June 19-21, 2024.
The course venue is CTU Prague, Department of Civil Engineering, Room A228.
Address: Thákurova 2077/7, 160 00 Prague 6 – Dejvice (https://www.cvut.cz/en/welcome-to-ctu)
The main objective of this course is to equip graduate students and researchers with practical knowledge and skills. It provides an extensive review of numerical models for multi-physics/multi-scale problems, and explores modern developments in machine learning with respect to model reduction, probability aspects and uncertainty quantification. The insights gained from this course can be directly applied to your research projects, enhancing their effectiveness and efficiency.
COURSE PROGRAM OUTLINE
Day I: June 17th, 2024, 14h-18h Basics/ Identification
Multi-physics/Multi-scale 14h-15h (Instructor: Adnan Ibrahimbegovic)
Inverse Problems/Machine Learning 15h-16h (Instructor: Hermann Matthies)
Identification 16h-18h (Instructors: Anna Kucerova, Noemi Friedman)
Day II June 18th, 2024, 9h-18h Applications:
Materials/Multiscale 9h-11h (Instructors: Jan Zeman, Martin Doškář)
Computer Software 11h-12h (Instructor: Bořek Patzák)
Multibody Dynamics 13h-16h (Instructors: Pavel Polach, Michal Hajžman, Zbyněk Šika)
Bioengineering 16h-18h (Instructor: Nenad Filipovic)
More details about the course can be found here.