All Courses

Compact Course “Python Best Practices”
Dr. Inga Ulusoy

Python has rapidly advanced to the most popular programming language in science and research. From data analysis to simulation and preparation of publications, all can be done in Python with appropriate libraries and implementing own modules. We will discuss Python Enhancement Proposals (PEP) and how these can help you write cleaner code. Common pitfalls in Python will be explained with examples. We will demonstrate typical “bad programming” and how to code the examples in a more pythonic way.

Compact Course “The Unix Shell + Version Control with Git”
Dr. Dominic Kempf

The Unix shell is a powerful tool that allows people to do complex things with just a few keystrokes. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources. Version control is the lab notebook of the digital world: it is used to keep track of what was done and to collaborate with other people. Its use is the state of the art in software development projects of all scales. The course will include hands-on live coding sessions where participants exercise the learned commands on their own computers.

Compact Course “Introduction to Python Testing”
Dr. Liam Keegan

An automated test suite makes it much easier to maintain, extend and debug your Python code. In this course we will learn how to write automated tests in Python using the pytest library. After introducing the key concepts, the majority of the course will be hands-on, writing and running tests.

Praktikum “Beginner/Advanced Software Practical Research Software Engineering”
Dr. Dominic Kempf

The software practical is a mandatory course in the BSc/MSc Computer Science curriculum, as well as in Mathematics and Scientific Computing. Students will carry out project work over the course of a semester, implementing a self-contained project according to best practices of software development. Project ideas will be presented on a first meeting at the beginning of the semester and are generally taken from the daily work of the Scientific Software Center.

The SSC version of the practical focusses on "Research Software Engineering". RSE is a rather new term that describes the use of software developement and software engineering practices in research applications. In the practical, we will implement tools that support research software development. Projects are taken from actual projects by the SSC or are inspired from such.

The primary programming language for the practical is Python, although C++ and JavaScript/TypeScript might be sprinkled in depending on the project.

If you are interested in the practical, please sign up in MÜSLI. You will then receive an invitation to a kick-off meeting on April 18th, 1pm. At this meeting, project ideas are presented and further information will be given.

Compact Course “The Unix Shell + Version Control with Git (Digital Humanities Edition)”
Dr. Dominic Kempf

Online Compact Course “A short tour of sustainable software development”
Dr. Dominic Kempf

 28.02.2023 - 09.03.2023

Block Course “Scientific Software Development”
Dr. Inga Ulusoy

 28.02.2023

Compact Course “Effective Software Testing”
Dr. Liam Keegan

08.11.2022

Compact Course “Python Best Practices”
Dr. Inga Ulusoy

 12.07.2022

Compact Course “High Performance C++”
Dr. Liam Keegan

10.05.2022

Compact Course “Data Exploration with Python and Jupyter”
Dr. Liam Keegan

01.03.2022 . 10.03.2022

Block course “Scientific Software Development”
Dr. Inga Ulusoy

 23.02.2022

Compact Course “Performance Benchmarking C++ Applications”
Dr. Liam Keegan

10.11.2021

Compact Course “Data Exploration with Python and Jupyter”
Dr. Liam Keegan

01.03.2021

Block course “The Art of Developing Scientific Software: What do you need to make your software fly?”
Dr. Inga Ulusoy
Course testimonials: 

“I definitely recommend this course. others at my institute should get informed about good coding practices, testing etc.”

“This was a very helpful introductory course, especially considering the fact that this was the first iteration of the course. It is obvious that a lot of time and effort was spent creating it. The instructor is motivated and capable. The toy data and analysis pipeline is appropriately complex, three members per group is a good size. Thank you again!”

“Considering it being an online format, it was relatively interactive, which was definitely a quality sign! :)”