
HGS MathComp - Where Methods Meet Applications
The Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp) at Heidelberg University is the only graduate school in Germany to focus on the complex topic of Scientific Computing. Placed in a vibrating research environment, the school offers a uniquely structured interdisciplinary education for PhD students. The program enables students to pursue innovative PhD projects with a strong application-oriented focus anywhere from mathematics, physics and chemical engineering sciences to cultural heritage.
Members of HGS MathComp are top experts in their fields and work on projects that combine mathematical methodology with topical research issues. Individual mentoring and career-building programs ensure that graduates acquire all qualifications for top positions in industry and science.
Upcoming Events [see all...]
Registration: Please register on the event website
Organizer: Tom Rix, HGS MathComp, IWR
Hacktoberfest is a global event that is sponsored by DigitalOcean, AppWrite, Docker and many other companies. It encourages participants to contribute to open source projects and in exchange receive digital rewards and a planted tree. In Heidelberg we offer this kick-off event, to get everyone prepared and into the mood of Hacktober.
More information and a detailed program will follow soon!
9:00 - 13:00
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The latest information and a registration link are available on the course website (log in with Uni-ID).
HGS MathComp fellows can get a reimbursement of the course fees. Please submit your proof of payment and certificate of participation to hgs@iwr.uni-heidelberg.de.
Content & Method:
The training is offered as blended learning that combines a self-study module and a live online workshop. All participants get 12 month access to all materials.
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Registration: Please register on the event website
Organizer: University of Copenhagen
This summer school is part of Flagship 3 of the 4EU+ European University Alliance, a close partner of HGS MathComp. Please contact us for funding options through 4EU+ and HGS MathComp.
The goals of the course are
- to introduce and discuss the recent developments of extreme value theory in the time series context. The main focus will be on heavy-tail phenomena, where extremes are particularly severe, and clustering effects when extremes appear in clumps,
- to provide suitable statistical tools for analyzing the aforementioned phenomena,
- to provide relevant knowledge to graduate students about extreme behavior of random systems in contrast to their average behavior,
- to learn about applications of extreme value theory from top experts in the field.