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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...]

25.06.2024
09:45 - 12:45
Key Competences
The Art and Craft of Academic Writing
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Compact Courses
Speaker: Sergio Mukherje (Graduate Academy Heidelberg)
Location: Graduate Academy, Im Neuenheimer Feld 370, 69120 Heidelberg
Registration: Please register on the event website
Organizer: Graduate Academy
ECTS: 0.5
This course is part of the course program of the Graduate Academy.

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.

Mastering the craft of writing is a core aspect of developing as doctoral students. This workshop provides a comprehensive view (and review) of helpful norms, rules and skills to help doctoral students improve their writing while gaining confidence in their capacity to exercise a foundation skill. As ‘expert writers,’ participants will be encouraged not just to write but also to align with readers’ expectations, and to avoid pretentious prose. Selected issues of grammar, vocabulary, and text structure are discussed in service of these topics.

Objectives:

- Identify and fix problems in your own long-form texts with respect to paragraph writing, coherence and unity;
- Make your writing more impactful and valuable;
- Address problems relating to grammar and (academic) vocabulary;
- Effectively proofread your own texts and incorporate feedback from your peers, teacher and doctoral advisor into your own text.
 
26.06.2024 - 27.06.2024
09:00 - 17:00
Key Competences
Introduction to Machine learning with Python
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Compact Courses
Speaker: Boyana Boneva (codeprehensible), Kevin Leiss (codeprehensible)
Location: Online
Registration: Please register on the event website
Organizer: Graduate Academy
ECTS: 2
This course is part of the course program of the Graduate Academy.

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.

Machine learning can be performed in all major programming languages, but Python has established itself as a standard. In this course, you will learn the fundamentals of machine learning (data collection, cleaning, modeling and prediction) through hands-on exercises on real-world data sets. You will understand the differences between supervised and unsupervised learning and get to know common models and algorithms. Furthermore, you will be able to evaluate the performance of the trained models.
 
26.06.2024
09:00 - 16:00
Theory & Methods
Introductory Course on Implicitly Switched ODEs with IFDIFF
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Compact Courses
Location: Mathematikon CIP Pool 1 • 3 rd Floor, Im Neuenheimer Feld 205 • 69120 Heidelberg
Registration: Please register here
Organizer: Kilian Folger, Lev Gromov, Michael Strik; Project PErFDiff: Andreas Sommer
ECTS: 1
Why switched ODEs?
Implicitly switched ODEs occur frequently in differential equation codes that contain IF conditionals or other sources of discontinuities. Their correct treatment requires profound knowledge on solution theory and computation.

What is the course content?
The first part of the workshop covers the mathematical theory of implicitly switched ODEs, including Filippov solutions. The second part consists of a hands on practical on IFDIFF, a software for solving and sensitivity generation of switched ODEs that automatically generates required switching functions, relieving the modeler of mathematical details.

Who can participate?
Students and members of Heidelberg University and other universities as well as interested modelers from industry. Some background on numerical methods for ODEs is helpful.


For more see the abstract_file: