Small number of students; very good supervision in small groups in lectures, exercises and practical courses; research-oriented and interdisciplinary teaching; joint courses for advanced Bachelor and Master; large selection of elective modules; but also specialisation in image processing, computer graphics and visualisation; information systems engineering; optimisation; scientific computing; cooperation with industry and many non-university research institutions; students are involved in research at an early stage, e.g. through publications at conferences.

Outgoing: Sorbonne Université und ECE, Paris, Franz und Charles University, Prag, Tschechien; Incoming: Politecnico die Milano, Mailand, Italien, EGE University, Izmir, Türkei

Several powerful computing clusters with different architectures, CPU cluster, computing lab, also explicitly for teaching; state-of-the-art software tools for chip design (Cadence); well-equipped robotics lab; motion analysis lab.

Highly interdisciplinary; close linking of research and industry, e.g. graduate school HGS MathComp; industry-on-campus topics; various research focus: Image Processing, Computer Graphics and Visualisation, Information Systems Engineering, High Performance Computing, Theoretical Computer Science, Distributed Systems, Scientific Computing, Computer Engineering (e.g. chip development, GPU acceleration, energy efficient "Machine Learning", robotics, design and commissioning of application specific hardware (analog chips, mixed-mode systems, communication ASICs))

Teaching of basic business knowledge within the framework of the course "Entrepreneurship". Competence of the lecturers due to own experiences with spin-offs.

Studying at an elite university with relatively few fellow-students brings the benefit of early involvement in research. An in-depth interdisciplinary collaboration exists between Computer Science, the natural and life sciences and the humanities. Students take part in research from an early stage, e.g. through publications at conferences.