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.
09.10.2025
- 10.10.2025
09:00 - 16:30
09:00 - 16:30
Key Competences
Scientists Need More! Next Level Scientific Writing using AI-Assistants
Compact Courses
Speaker: Prof. Daniel Mertens (Schiller & Mertens GbR)
Location: Online
Registration: Please register on the event website
Organizer: Graduate Academy
Location: Online
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. Please note that this course will be held in English.
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.
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.
What you'll learn:
- How to set up your first Python programming environment (and any language environment)
- Basic coding concepts explained in simple, accessible terms
- How to use AI assistants (mostly ChatGPT and Perplexity) to help you write and understand code
- Practical automation applications include creating and manipulating data files, extracting information from many PDF files, automated uploading to and extracting from GPT / Perplexity / Claude
- Any other simple application suggested by participants.
This workshop is specifically designed for absolute beginners – no prior coding experience required or expected. We'll start from the very basics, using AI assistants to make the learning process more approachable and less intimidating.
Target Audience: Researchers and scientists with zero coding experience who want to learn how to implement basic programming tasks in their work.
Join us to discover how AI can help you overcome the initial hurdles of implementing coding and start your journey toward programming proficiency. The session will include live demonstrations, practical examples, and plenty of opportunity to learn from mistakes in a supportive environment.
- How to set up your first Python programming environment (and any language environment)
- Basic coding concepts explained in simple, accessible terms
- How to use AI assistants (mostly ChatGPT and Perplexity) to help you write and understand code
- Practical automation applications include creating and manipulating data files, extracting information from many PDF files, automated uploading to and extracting from GPT / Perplexity / Claude
- Any other simple application suggested by participants.
This workshop is specifically designed for absolute beginners – no prior coding experience required or expected. We'll start from the very basics, using AI assistants to make the learning process more approachable and less intimidating.
Target Audience: Researchers and scientists with zero coding experience who want to learn how to implement basic programming tasks in their work.
Join us to discover how AI can help you overcome the initial hurdles of implementing coding and start your journey toward programming proficiency. The session will include live demonstrations, practical examples, and plenty of opportunity to learn from mistakes in a supportive environment.
16.10.2025
Theory & Methods
Neurons & Neckar: Machine Learning and Artificial Intelligence Conference
Conference
Speaker: Various Speakers
Location: Heidelberg
Registration: Please register on the event website • Please contact angela.queisser@iwr.uni-heidelberg.de to receive a promotional code for a free ticket (subject to availability)
Organizer: Heidelberg Startup Partners e.V.
Location: Heidelberg
Registration: Please register on the event website • Please contact angela.queisser@iwr.uni-heidelberg.de to receive a promotional code for a free ticket (subject to availability)
Organizer: Heidelberg Startup Partners e.V.
ECTS: 0.5
Heidelberg is a hub of artificial intelligence innovation. Research groups, start-ups and established companies are pushing the technology forward every day. Their work touches everything from life sciences to manufacturing. From basic research to tooling.
Discover the latest developments in AI. Strengthen your connections and make new ones. If you’re fascinated by artificial intelligence and excited about influencing the future, join us. Let’s shape what’s next together.
Discover the latest developments in AI. Strengthen your connections and make new ones. If you’re fascinated by artificial intelligence and excited about influencing the future, join us. Let’s shape what’s next together.
Neurons & Neckar has two key ingredients: Show and Talk! Short lightning talks to get everyone inspired about new ideas. Long coffee breaks to ask questions, discuss, and get to know each other.
For more information, please visit the event website.
For more information, please visit the event website.
21.10.2025
- 22.10.2025
09:00 - 13:00
09:00 - 13:00
Key Competences
Writing for a Non-Scientist Audience
Compact Courses
Speaker: Bradley van Paridon (science42)
Location: Online
Registration: Please register on the event website
Organizer: Graduate Academy
Location: Online
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. Please note that this course will be held in English.
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.
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.
From blogging to news and opinion articles, writing remains one of the best ways for scientists to reach the public. While there are many styles and formats for popular science writing, certain elements of good writing are required. In this workshop, we discuss the various formats of writing as well as why and when each is used. We will also discuss how to tell a good story and common bad habits scientists have when writing for the public. Participants will practice writing short pieces based on their own work or interests that will be shared and discussed during the workshop.
All participants need a microphone and ideally a webcam.
Hardware integrated into the laptop is sufficient.
Topics (selection)
- Formats (blogs, news, opinion, etc.)
- Writing styles
- Elements of a good story
- Story structure
Common mistakes (passive voice, jargon, etc.)
All participants need a microphone and ideally a webcam.
Hardware integrated into the laptop is sufficient.
Topics (selection)
- Formats (blogs, news, opinion, etc.)
- Writing styles
- Elements of a good story
- Story structure
Common mistakes (passive voice, jargon, etc.)