Skip to main content

HGS MathComp - Where Methods Meet Applications

The Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences (HGS MathComp) at Heidelberg University is one of the leading graduate schools in Germany focusing on the complex topic of Scientific Computing. Located in a vibrant research environment, the school offers a structured interdisciplinary education for PhD students. The program supports students in pursuing innovative PhD projects with a strong application-oriented focus, ranging from mathematics, computer science, bio/life-sciences, physics, and chemical engineering sciences to cultural heritage. A strong focus is put on the mathematical and computational foundations: the theoretical underpinnings and computational abstraction and conception.

HGS MathComp Principal Investigators are leading experts in their fields, working on projects that combine mathematical and computational methodology with topical research issues. Individual mentoring for PhD candidates and career development programs ensure that graduates are fully equipped to take up top positions in industry and academia.

Upcoming Events [see all...]

09.12.2024
14:30 - 16:15
Theory & Methods
HGS MathComp Membership Colloquium
[]
Colloquium
Speaker: New HGS MathComp PhD fellows
Location: Mathematikon • Conference Room, Room 5/104, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Organizer: HGS MathComp
ECTS: 0
Introduction of new HGS MathComp members and their PhD projects.

The BlueSheet Meeting will be held online for all new members of HGS MathComp on December 10, 2024 between 14:00 - 15:00.

14:30 Lina Deschamps (Supervisor P. Albers)
“On a hyperkähler view of the magnetic geodesic flow on CP^n“

14:50 Hans Reimann (Supervisor C. Strauch)
“Developing and Incorporating Strategies for Data-Driven Control and Data Assimilation”

15:10 Margot Chazotte (Supervisor D. Schapiro)
“Spatial imaging in the gastrointestinal tract”

15:30 Jean Radig (Supervisor C. Herrmann)
"AI for patient-specific cancer cure"

15:50 Daniel Galperin (Supervisor U. Köthe)
"Invertierbare Neuronale Netze für ein verbessertes Verständnis von Infektionskrankheiten"
 
09.12.2024
16:30
Christmas Get-together
[]
Networking
Location: Mathematikon • Common Room, 5th Floor • Im Neuenheimer Feld 205 • 69120 Heidelberg
Organizer: HGS MathComp
ECTS: 0
Dear HGS MathComp Fellows,

we are very happy to let you know that we will have a Christmas Get-together for the members of the HGS MathComp this year. The event will take place after the HGS Membership Colloquium on the 9th of December in the Common Room on the 5th floor of the Mathematikon, where we will enjoy drinks and food as well as social activities. More information will come closer to the event and we would be glad to see many of you there!

Kind regards
Your Fellow Speakers
Antonia, Steffen and Anna
 
16.12.2024
09:00 - 13:00
Theory & Methods
Python Best Practices
[]
Compact Courses
Speaker: Dr. Inga Ulusoy, Research Software Engineer, Scientific Software Center (SSC)
Location: Mathematikon • Conference Room 5/104, 5th Floor • Im Neuenheimer Feld 205, 69120 Heidelberg
Registration: Please register via this form
Organizer: Scientific Software Center (SSC)
ECTS: 0.5
This is a half day course.

The latest information and a registration link are available on the course website.

This compact course is part of the course program of the Scientific Software Center (SSC) at Heidelberg University.

Prerequisites:

Basic Python knowledge is required.

Summary:

Python has rapidly advanced to the most popular programming language in science and research. From data analysis to simulation and preparation of publications, all can be done in Python with appropriate libraries and implementing own modules. We will discuss Python Enhancement Proposals (PEP) and how these can help you write cleaner code. Common pitfalls in Python will be explained with examples. We will demonstrate typical “bad programming” and how to code the examples in a more pythonic way.

Learning Objectives:

After the course participants will

- Understand the basic PEP recommendations
- Use a linter and code formatter to ensure following of the guidelines
- Write better=more readable code
- Avoid bugs through best practices for example in passing keyword arguments