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.
09:00 - 17:00
Location: In-Person in Heidelberg
Registration: Please register on the event website
Organizer: 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.
Description
The first day of the seminar begins with verbal and non-verbal communication training, connecting breathing to thinking, in order to relieve panic in stressful situations. This is followed by training with improvisation exercises to help presenters maintain their focus and composure and to cultivate quick thinking and problem solving, followed by free-speaking exercises to train quick thinking, staying focused, engaging an audience in a topic, and maintaining authority. Strategies are then discussed and practiced to deal with disruptions during the impromptu talks.
In the second session, participants will explore various challenges in meetings as well as in online Q&A sessions. Techniques are trained to handle awkward situations. Role-play situations are tailored, practiced, and discussed in the roles as presenters, meeting facilitators and Q&A moderators.
Contents in brief
- Breathing and focusing exercises for stress management
- Free-Speaking Exercises
- Improvisation Techniques for quick thinking and problem solving
- Role-play disruptions during talks, meetings, and discussions
- Tailored coaching and individual feedback
Methods
- Individual, pair and group working exercises
- Breakout room activities
- Voice and non-verbal communication coaching
- Improvisation techniques
- Role-play exercises and discussion
09:00 - 13:00
Location: Mathematikon • Im Neuenheimer Feld 205, 69120 Heidelberg
Registration: Please register on the course website
Organizer: Scientific Software Center (SSC)
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.
Prior knowledge about version control with Git is required. This can e.g. be acquired by attending the SSC’s introductory course “Version Control with Git”. This course is intended for all scientific audiences. Participants are required to bring their own laptops to work on during the course. Network access (e.g. through Eduroam) is recommended.
Summary:
Applying version control can be a game changer for a collaborative research software project. However, even in projects that already successfully use Git, there is often room for improvement of the employed Git workflows. This workshop tries to delve into collaborative workflows using Git branches and discuss their strengths. Special emphasis is given to the resolution of merge conflicts that may be required in the process of dealing with diverging branches.
Learning Objectives:
After the course participants will
- Understand git branches and typical workflows using them
- Have seen collaborative workflows on GitHub (Pull Requests, Forks etc.)
- Gained first experience in resolving merge conflicts
- Know how to use rebase to clean up a branch’s history
16:30 - 18:00
Registration: Please register via this form
Organizer: MLAI
To help plan the catering, please register for free by clicking here.
Scientific Machine Learning is a joint initiative from STRUCTURES and IWR aimed at fostering interactions within and development of the local machine learning community. Its portal summarizes the many relevant events and news from across campus that would otherwise remain scattered across single institutions or fields. The goals of the MLAI platform align with the STRUCTURES Cluster of Excellence's objective of driving research into the fundamental understanding of current and future machine learning, and with IWR’s aim to leverage machine learning to enable the solution of long-standing problems in the natural and life sciences, the engineering sciences, as well as the humanities.
Further information and links:
MLAI homepage • Machine Learning Talks on Campus – Information service and mailing list • STRUCTURES Cluster of Excellence
Lukas Balles • Jürgen Hesser • Wolfgang Huber
Science talks:
Constantin Ahlmann-Eltze (Huber lab):
ML in Single Cell and Spatial Omics for Tissue Biology and Biomedical Research
Pit Neitemeier (Balles lab):
Learnt splitting and the influence of compression ratios in end-to-end hierarchical language modeling
Marcus Buchwald (Hesser lab):
Reaching for Causal Image Generation using deep conditioning