| Title | Time | Room | Teacher |
|---|---|---|---|
| Introduction to Python | 28.01.2027 09:00 - 16:30 (Thu) | TUM Graduate School: Boltzmannstr. 17, 85748 Garching bei München, Room 101. | Dr. Denis Düsseldorf |
| Introduction to Python | 29.01.2027 09:00 - 16:30 (Fri) | TUM Graduate School: Boltzmannstr. 17, 85748 Garching bei München, Room 101. | Dr. Denis Düsseldorf |
This workshop introduces you to the basics of programming in Python, an interpreted programming language that enables developers to quickly write readable and efficient code. Python has become a standard in both academic research and industry, making it an essential tool for a wide range of applications.
In this workshop, you will understand key programming concepts, learn to navigate Python's syntax, and develop the skills needed to write your own simple programs.
- Gain an understanding of the basic Python Syntax
- Learn how to work with the command line
- Understand core concepts like Objects, Variables, Operators, Control Structures and Functions
- Gain the ability to write simple programs on your own
- Learn how to invoke third-party libraries for numerical data handling and plotting
- Understand how to proceed in your Python journey after the workshop
The course alternates between brief theory sessions and hands-on practice, allowing participants to apply concepts immediately using their Own Python Setup. This interactive approach ensures effective learning.
At the beginning of the doctorate │ during the doctorate │ at the end of the doctorate
None.
You need a laptop with a charger and a working internet connection. Please make sure that you have the necessary permissions to install Software on your computer.
Installation instructions for Python are provided beforehand. Don’t worry if you run into problems: I will happily assist you during the workshop to get your technical setup running!
None.
Dr. Denis Düsseldorf earned his doctoral degree in mathematics from the University of Bonn in 2024 and holds a certification as a 'Data Scientist Specialized in Machine Data Analytics' from the Fraunhofer Research Institute. His doctoral dissertation focused on the numerical resolution of partial differential equations characterized by multi-scale attributes. He works as a freelance consultant specializing in AI, automation, and data analysis, and as a passionate trainer, he teaches programming and mathematical topics to current and aspiring researchers to help them solve practical problems in their research.