Focus on methodological-scientific fundamentals; early independent work; support for semesters abroad; balanced mix of theoretical, practical and technical subjects; high elective component; a lot of teamwork; research-related learning; courses at other Berlin universities are creditable; students can develop their own courses (Q-Teams); early involvement in research projects.

Swansea University, UK; ETH Zürich, Schweiz, TU Wien, Österreich; Universitet i Bergen, Norwegen; Université de Bordeaux, Frankreich; Universitet i Agder, Norwegen

Campus-wide WiFi; most lecture halls are less than 15 years old; modern lecture hall technology; diverse pool rooms, also with special equipment (hardware development, network configuration, ...); immediate proximity to the site library with many workstations; access to powerful computing resources; virtualisation; modern equipment of the lab rooms in the individual chairs; full equipment for digital teaching.

Three key areas in research: Algorithms and Structures, Model-Based Systems Development, Data and Knowledge Engineering; Focus on Young Scientists: Spokesperson for the DFG Research Training Group SOAMED and the Collaborative Research Centre FONDA; many interdisciplinary research projects (medicine, psychology, earth sciences, education, physics, etc.) with funding from the DFG, EU, federal government, etc.; many collaborations with other Berlin universities; close links with various non-university research institutions and the Weizenbaum Institute as well as the Einstein Centre Digital Future.

The institute has produced many successful start-ups in recent years, and many of the professors are involved as mentors for start-ups. There are information events for spin-offs and advisory services for potential founders. Various forms of cooperation with companies (theses, EXIST; PROFIT; BMWi/BMBF projects). Coordination by GmbH Humboldt-Innovation. Participation in nationwide (e.g. ZIM, EXIST) and state-wide (Forschungskoops, PROFIT) programmes; seminars on IT entrepreneurship; final theses with companies; HU innovation awards.

Many cooperations with other scientific and non-scientific institutions; close cooperation of the three Berlin university computer science departments; many cooperations with natural science institutes at the Adlershof location; predominantly young professors; active student body; new B.Sc. programme IMP (computer science, mathematics, physics) with 8 semesters of standard study time; continuously high proportion of junior professors; very successful in DFG funding, especially graduate colleges, SFB and Emmy-Noether groups).