Modern Computational Science  Summer School
International Summer School
MODERN COMPUTATIONAL SCIENCE
August 1628, 2009, Oldenburg, Germany
Sponsored by:
Downloads of Poster and Flyer:
Scientific Computing (or Computational Science) is often called the third pillar of science besides theory and experiment. The growing importance of computational methods in many areas of science and engineering is exemplified by the appearance of new disciplines like Computational Physics, Computational Chemistry, Bioinformatics, and many others. Moreover, Computational Science is, almost by definition, an interdisciplinary field, and thus provides a unique opportunity to bring together scientists working in areas that would otherwise be considered as diverse.
This Summer School is intended for advanced undergraduate, graduate, and PhD students of biology, chemistry, computer science, mathematics, and physics who
 would like to get a thorough introduction to some of the basic methods and tools of Scientific Computing (algorithms, software engineering, data analysis, ordinary and partial differential equations, simulations),
 are interested in the application of computational methods to current research problems in pure and applied science, and
 wish to acquire a working knowledge of the material presented in the lectures by attending supplementary exercises at the computer.
We would also like to draw your attention to the new book (scheduled for Spring 2009),
which covers some of the topics that will be dealt with during the first week of the School. Participants will receive a free copy of the book.
Moreover, each participant will be handed out a volume of Lecture Notes (edited by R. Leidl and A.K. Hartmann).
The first week of the School will be (mainly) devoted to the Fundamentals, whereas more specialized topics will be covered in the second week.
 Fundamentals: programming, algorithms, differential equations, data analysis, software engineering
 Computational Fluid Dynamics: wind energy, sediment dynamics
 Quantum Chemistry: ab initio and density functional theory, chemical reactions dynamics
 Simulations in Statistical Physics: Monte Carlo methods, disordered systems, random processes
 Modelling of Biological Systems: ecosystems, evolutionary biology, neurobiology
 Engineering Applications: hybrid systems, signal processing
External Lecturers:

Helmut G. Katzgraber,
Computational Physics,
Texas A&M University 
Stephan Mertens,
Computational Complexity and Statistical Mechanics,
OttovonGuericke University Magdeburg 
Marc Mézard,
Statistical Physics of Disordered Systems,
Université de Paris Sud 
Pekka Orponen,
Computational Complexity and Combinatorics,
Helsinki University of Technology TKK
 Jörn Anemüller, Speech Processing/Biomedical Data Analysis
 Olaf R.P. BinindaEmonds, Systematics and Evolutionary Biology
 Bernd Blasius, Mathematical Modelling of Biosystems
 Andreas Engel, Theoretical Physics/Statistical Physics
 Ulrike Feudel, Theoretical Physics/Complex Systems
 Martin Fränzle, Computer Science/Hybrid Systems
 Volker Hohmann, Acoustic Systems, Signal Processing
 Burkhard Kleihaus, Gravitational Physics
 Thorsten Klüner, Theoretical Chemistry
 Thomas Kneib, Statistics
 Rainer Koch, Computational Chemistry
 Jutta Kretzberg, Computational Neuroscience
 Joachim Peinke, Hydrodynamics and Wind Energy/ForWind
 Hannes Uecker, Applied Analysis
 JörgOlaf Wolff, Physical Oceanography (theory)