The course Basics of RE&IS equips Master’s students with core skills in scientific writing. Central is the full writing cycle, supported by peer- and self-review. Students learn to critically evaluate literature, argue pros and cons, create simple visualizations, and present their work. Generative AI is examined for its potential and risks at each step.

This course sensitises doctoral students to ethical issues that may arise during their doctorate. After an introduction to ethics and good scientific practice, students are familiarised with resources that can assist them with ethical decision-making. Students are given the opportunity to apply their knowledge and train their newly acquired skills in an interactive, discipline specific context.

This project-based course offers students an insight into a selected challenge from the field of Geospatial Engineering. In addition to methodological and subject-specific competencies—depending on the chosen project—the course also fosters a variety of transferable skill such as teamwork, critical and scientific thinking, as well as competencies in writing and presenting