[an error occurred while processing this directive]

Joint Advanced Student School - JASS'2007

Numerical Simulation: From Models to Software

St. Petersburg, 25.3. - 4.04.2007



Within the scope of the fourth "Joint Advanced Student School - JASS'2007" in St. Petersburg, we offer the course "Numerical Simulation: From Models to Software".

Participants:

Approx. 12 students in a diploma program (having completed your Vordiplom), a B.Sc. program (being at least in the fifth semester), or a M.Sc. program covering important aspects of numerical simulation, such as

This course is offered in cooperation with the Bavarian Graduate School in Computational Engineering.

Description of the Course:

The understanding of phenomena and processes from science and engineering is, today, no longer merely based on theory and experiment, but more and more on computations, as well. Numerical simulations supplement experiments, and sometimes even allow the study of technical systems and natural phenomena that would be too time-consuming, expensive, or dangerous (if possible at all) to study by experiment alone.

The increasing quest for higher levels of detail and realism in such simulations requires enormous computational capacity, advanced programming skills, and sophisticated models and algorithms. Due to the progresses in each of these fields, we can now solve large-scale problems that were once thought to be intractable.

Successful simulation projects typically require an interdisciplinary team of (applied) mathematicians, computer scientists, and engineers from the respective field of application. Opportunities to get used to this style of interdisciplinary work are much to rare during regular university programs, but our course at the JASS provides an excellent framework, bringing students from different fields together - during the course sessions, but also enjoying together the recreational activities.

Rather than focusing on a specific area of application, our goal is to get insight into the methodology of simulation. It will cover topics from applied mathematics (discretization techniques, fast solvers), computer science (efficient implementations, especially for parallel computers, visualization) and example applications (fluid mechanics or structural mechanics, e.g.)

To have maximum profit from our course, it is important that you are willing to cooperate with students from the other fields: learning about the topics that they bring into the program, but also giving a talk on a topic of your area of interest that can be understood by your (hopefully also cooperative) colleagues from other disciplines.

The course language is English. Expenses for travel, board and lodging are covered by the JASS. The deadline for applications is January 29, 2007. Send in this form to apply for this course or one of the other courses of the JASS07.

Professors:

Assistant:

Slides and Handouts

Munich

StudentTopicSlidesHandout
Janos Benk How to solve the Navier-Stokes Equation [PPT] [DOC]
Adriana Bocoi A Parallelisation Approach for Multi-Resolution Grids Based Upon the Peano Space-Filling Curve [PPT] [PDF]
Martin Dummer Sierpinksi-Curves [PDF] []
Bernhard Gatzhammer Swarm behaviour and traffic simulations [PPT] [DOC]
Peter Heinig Program verification using Hoare Logic [PDF] [PDF][PDF]
Florian Klöck Analysis of an Algorithm using Hoare Logic [PDF] [PDF]
Marcin Salaterski Option pricing with sparse grid quadrature [PPT] [PDF]

St. Petersburg

StudentTopicSlidesHandout
Vladimir Ananyin Computation of shock waves induced by electric discharge in the air [] []
Alexey Minin Optimization methods [PPT] [DOC]
Olga Pichkaleva Reconstruction of structural profiles in thin films with the use of genetic algorithms [PPTX] []
Dmitry Pusyrev Numeric solution of the Boltzmann kinetic equation [PDF] [PDF]
Filipp Shubin Potential Parallelization of Computational Problems [] []
Alexandr Timofeev Numeric solution of one problem of radiation transfer [] []

Homepage of the JASS07


Michael Moltenbrey, 2007-01-17

[an error occurred while processing this directive]