French-German Summer School
Ecole Thématique CNRS
September 1-5, 2014
IGeSA Center, rue de la Douane, Porquerolles Island, France
Jean-Marc Bourinet, IFMA, Clermont-Ferrand, France
Carsten Proppe, KIT, Karlsruhe, Germany
MNMUQ 2014 Summer School has now ended. The audience was composed of 12 lecturers and 65 participants coming from 16 countries.
We would like to thank all the lecturers and attendees for their participation to this summer school.
A big thank you also to all our sponsors which allowed us to offer all our attendees such an excellent opportunity to learn and discuss about advanced methods for uncertainty quantification: the French-German University (UFA/DFH), CNRS, Association Française de Mécanique (AFM), Institut Pascal and Ecole Doctorale Sciences Pour l'Ingénieur (ED SPI) from Clermont Ferrand.
The organizers, Jean-Marc Bourinet and Carsten Proppe.
Uncertainties play a central role in many engineering systems and physical phenomena. Quantifying the impact of these uncertainties on responses of interest has become an active field of research over the past few years in many disciplines such as structural mechanics, material science, fluid dynamics, geophysics, electromagnetics, telecommunication networks, chemistry, ...
The main objective of this summer school is to address the important mathematical concepts of uncertainty quantification and the related computational / algorithmic challenges arising in these numerous engineering and science disciplines. A specific focus will be placed on:
Participants will receive an overview of the most recent numerical techniques for uncertainty quantification and will be provided with illustrations of their use in various fields of application. This summer school will gather young researchers, leading scientists and engineers, and will offer this audience a perfect place to exchange ideas and develop cross-disciplinary discussions.
This summer school is mostly aimed at young researchers ( PhD students and postdocs ) starting their research in stochastic approaches. It also targets researchers and engineers interested in the development and the implementation of methods for uncertainty quantification.
As a prerequisite, the candidates are expected to have a basic to good knowledge of numerical linear algebra, numerical methods for PDE, probability and statistics.
All courses will be given in English.