The teaching has a strong research focus due to the active involvement of students in many research projects and has been assessed as above average by the students. Due to the manageable size of the department, close contact between students and lecturers is ensured. As part of the mentoring programme, each student is supported in the content specialisation of the course by a professor. Tutors help the effective learning in small tutorial groups. Modules in other fields enable students to broaden their horizons.

The teaching has a strong research focus due to the active involvement of students in many research projects and has been assessed as above average by the students. Due to the manageable size of the department, close contact between students and lecturers is ensured. As part of the mentoring programme, each student is supported in the content specialisation of the course by a professor. Tutors help the effective learning in small tutorial groups. Modules in other fields enable students to broaden their horizons.

The Department of Computer Science and Information Science is characterised by its high degree of internationality from the student level through to research. We offer our students a wide range of exchange options for a study or internship abroad as well as excellent support and diverse opportunities for our international students on site. Due to great flexibility in design of the extension studies of the Bachelor's degree programmes and the Master's degree programme, study achievements earned abroad can be recognized.

Uppsala University; Technische Universität Wien; Trinity College Dublin; University of Vaasa - Vaasan Yliopisto; University of Tartu; National University of Singapore; Norwegian University of Science and Technology (NTNU); Northern Arizona University; Univerzita Karlova v Praze

The "Data Theatre" opens up entirely new perspectives in the field of visual data exploration. The "Media Room" offers a research environment for the design, development and evaluation of new interaction technologies, input devices and the simulation of future working environments. "e-David", a painting industrial robot, is in close proximity to the "Swarm Robotics Lab". Interdisciplinary research takes place in the "Imaging Hangar" and the "Bio-Hybrid Lab". "Mixed Reality Lab", "Immersive Analytics Lab" and the "Computer Vision Lab" are other specialist labs in the department.

In the long-term, the faculty has been pursuing the joint research perspective "Explorative analysis and visualisation of large data spaces" as the joint research profile of all work groups, with different application fields such as Big Data, Cyber-Physical Systems, Health, Network Analysis and Software Certification. The faculty is involved in many inter-disciplinary projects, e.g. with the following subjects: Biology, Chemistry, Political Science and Public Administration, Economics, Linguistics, Psychology, Sociology, Sports Science, Literature/Art/Media and History.

As part of the excellence strategy, the department is involved in the "Centre for the Advanced Study of Collective Behaviour", which is dedicated to data-driven research into collective behaviour, from the swarm intelligence of animal groups to human decision-making behaviour and economic networks. In addition, the department developed the "Advanced Data and Information Literacy Track" (ADILT), an interdisciplinary programme on data and information competence accompanying the degree programme for students of all subjects.