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Heidelberg Graduate School of
Mathematical and Computational Methods for the Sciences

Mathcomp

Upcoming events

HGS MathComp Conference
International Symposium "Scientific Computing for the Cognitive Sciences"
Date: Wednesday 6th October 2010, 9:00
Duration: Oct. 6th - Oct 8th 2010
Location: Internationales Wissenschaftsforum Heidelberg
Invited by: Prof. Dr. Joachim Funke, Dr. Franziska Matthäus, Dr. Katja Mombaur, Dr. Sebastian Sager
Link: http://sccs10.uni-hd.de/

HGS MathComp Seminar
various
Reading Course: Jordan, ,,Graphical Models"
Date: Sunday 17th October 2010, 16:30
Duration: weekly reading course; tba.
Location: HCI, Seminarraum, Speyerer Strasse 6, 69115 Heidelberg
Invited by: Dr. Katharina Anna Zweig

HGS MathComp Activity
various
Annual Colloquium 2010
Date: Friday 19th November 2010, 8:30
Duration: Nov 19, 2010; 08:30-17:00
Location: HCI, Speyerer Strasse 2-6, 69117 Heidelberg
Invited by: Doctoral Students, HGS MathComp
Link: http://www.mathcomp.uni-heidelberg.de/annual/

HGS MathComp Compact Course
Nonlinear Optimization
Date: Monday 7th February 2011, 9:00
Duration: Monday Feb 7 - Friday Feb 11, 2011
Location: IWR, INF 368, Room 532 and INF 350, Room U011
Organized by: Dr.S.Sager, Dr. S.Körkel

Concepts

Scientific computing with its core components mathematical modeling, simulation and optimization has developed into a key technology for understanding and mastering challenges in science and engineering. Stemming from application problems as diverse as the design of fuel cells, the understanding of the dynamics of cancer or the risk analysis for historical monuments, the demand for young scientists who are well-trained in these methods and application fields is rising fast.

The Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences intends to meet this demand. Our aim is to provide a structured interdisciplinary reserach training program to promote the developement of new and even more powerful methods of scientific computing and to carry this methodology into new scientific territory. Our students will receive training based on the guiding principles of

  • Scientific excellence
  • Interdisciplinarity and
  • Internationality.

The ambition is to provide the doctoral students with excellent training that equips them with the manifold qualifications required from future leading scientists.

The Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences is funded by the Deutsche Forschungsgemeinschaft (DFG) in the second round of the Excellence Initiative.

M. Winckler, 
Last Update: 18.12.2009
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