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Teaching

Department of Applied Cognition and Informatics Education (ACIE)

Our teaching: technically sound, practice-oriented and didactically creative.

Didactic Concept

We regularly offer topics for theses based on ongoing projects and doctoral projects. If you are interested in supervising a thesis, please refer to the FAQ listed below.

In order to make the learning contents vivid and tangible and thus ensure lasting learning success, we use creative and playful elements. Such approaches from the field of Game-Based Learning can promote not only specialist knowledge but also interdisciplinary skills such as teamwork, creativity, strategic action planning, logical thinking and presentation skills.

Courses

The department is responsible for the pedagogical training in the computer science teacher education program as well as for the disciplinary training across the breadth of computer science degree programs. Key areas of focus include technology-supported educational contexts, ethical aspects of AI and data-driven technologies, children as a target group for technological development, and methods of modeling and simulation. Our course offerings include courses taught in both English and German.

In Wintersemester 2026/2027 we offer the following courses:

Theses

We regularly offer topics for theses based on ongoing projects and doctoral projects. If you are interested in supervising a thesis, please refer to the FAQ listed below.

If you are interested, you are welcome to contact us!

FAQ

The department primarily supervises bachelor's and master's theses in the computer science programs, especially the teaching degree programs. In exceptional cases (e.g., related to computer science as a third subject) we also supervise master's theses in the educational sciences for teaching degree programs. 

We only supervise two types of theses, those focusing on the development of software and/or algorithms and those focusing on the planning, implementation and inferential statistical analysis of an empirical study. We do not supervise purely conceptual or theoretical theses.

Theses with a focus on “software development” require solid knowledge of programming in Python, Unity or Javascript, depending on the task.

Theses with a focus on “empirical studies” require skills in empirical experimental design and statistical data analysis in R. The use of menu-based tools such as SPSS is not supported in our department. To promote transparent research, we analyze data exclusively script-based, preferably in R. 

By default not, as we primarily supervise theses on topics advertised by us that are linked to ongoing research projects and doctorates due to capacity reasons. In addition to the theses advertised by us, free capacities can be inquired at the respective project staff or doctoral researchers.

No, we have no capacity for this type of theses. 

Theses are generally written in English because they contribute to international scientific publications due to the embedding in project-related or doctoral research. Exceptions are only possible in justified cases after consultation with us.

We advertise available thesis topics via C@mpus and in the computer science market place via ILIAS.

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