After successful completion of the course, students are able to master essential elements of data visualization, starting with the steps of data collection, managing the data, interpreting and evaluating them, and finally, graphically and informatively displaying them as charts or infographics.

In the lecture part, the basics and current strategies for the acquisition of information, their graphic processing and, subsequently, their processing to display information are discussed and shown.

The aim of the course is to impart skills for graphic data processing and information visualization. Work is carried out at the interface between images, text and numbers in order to make data sets and statistical analyzes tangible as information.

Coupled with the semester topic of the module, smaller tasks for statistical and graphic data visualization are processed in the course, which serve as the basis for the final information graphics. Questions are: Which information do I present and how? How do I interpret certain information in comparison to others? What conclusions can be drawn?

Lectures and practical exercises are intertwined in such a way that a gradual development of the tasks is forced. Several interdisciplinary feedback rounds will take place in the semester, making it possible to coordinate the results in the various areas of design and topic development. At the end of the semester, the skills you have learned flow into a comprehensive project in which most of the current teaching techniques are used.

At the end of the semester there will be a presentation with the developed content.