I am an advocate for free knowledge availability. I believe that the availability of knowledge is a fundamental right and that it should be accessible to everyone. Therefore, all my teaching material is CC BY-NC-SA licensed unless otherwise stated. Feel free to share, remix, and adapt the content as long as you give appropriate credit and distribute your contributions under the same license.
In this course, students will learn essential computational approaches for analyzing functional imaging data in neuroscience. The focus is on the full workfl...
This intensive 1.5-day course provides a comprehensive introduction to applying machine learning techniques for dimensionality reduction in neuroscience. Par...
A short introduction into cutting-edge methods for assessing animal behavior in a multi-modal and high-throughput fashion and deciphering animal behavior and...
In this course, we will learn how to use the free open-source software (FOSS) Napari for bioimage analysis. Napari is a fast, interactive, multi-dimensional ...
The course is a collection of short tutorials tailored to practical Data Science problems in Neuroscience. The aim of these short tutorials is to demonstrate...
Introductory course into the Python programming language. The course is condensed to the minimum requirements for the use of Python in numerical data analysi...
A short introductory course on using Fiji for Ca2+ images.
Introductory workshop into scientific programming and data analysis with MATLAB. The workshop was held in the 4th DZNE Doctoral Retreat in Dresden, Germany (...
A summary of courses and lectures I was involved in during my studies and Ph. D. and before 2019.
Here is some supporting teaching material covering LaTeX and Markdown guides, Python cheat sheets, and more.
With miniconda, we can have minimal Python installation on any OS. Learn how to install it and how to use conda to create and manage virtual environments, in...
A collection of useful Python commands and application examples.
A getting started guide with LaTeX guide.
Markdown guide with a broad overview of Markdown syntax and ready to use examples for direct application in your Markdown documents and Jupyter notebooks.