Short Course at UT Austin: Mathematical and Algorithmic Aspects of Uncertainty Quantification

Austin, Texas
Monday, July 28, 2014
Short Course at UT Austin: Mathematical and Algorithmic Aspects of Uncertainty Quantification
Monday, July 28, 2014 - Friday, August 08, 2014

Institute for Computational Engineering & Sciences
201 East 24th St
University of Texas at Austin
Austin, Texas 78712
United States

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Instructors:
Prof. Fabio Nobile (EPFL) and Prof. Raul Tempone (KAUST)

Course Description:
When building a mathematical model to describe the behavior of a physical system, one has often to face a certain level of uncertainty in the proper characterization of the model parameters and input data. Examples appear in the description of flows in porous media, behavior of living tissues, combustion problems, deformation of composite materials, meteorology and atmospheric models, etc.  The increasing computer power and the need for reliable predictions have pushed researchers to include uncertainty models, often in a probabilistic setting, for the input parameters of otherwise deterministic mathematical models.
In this series of lectures we focus on mathematical models mostly based on Partial Differential Equations with stochastic input parameters (coefficients, forcing terms, boundary conditions, shape of the physical domain, etc.), and review the most used numerical techniques for propagating the input random data onto the solution of the problem.

Format: Course will run daily for two weeks, with lectures M-F, 9:00am-11:30am. There will be daily 1-hr lab sessions in the afternoon that build upon the materials presented in lecture.

Cost: The program is being offered free of charge, but space is limited.


 

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