Each compulsory course is accompanied by a lecturer throughout the course of several years. This allows the evaluations and student feedback to be systematically incorporated into the further development of the courses, and the courses remain consistent over the years. Large events are supported by the use of online learning platforms, which facilitates communication between students and teachers. Possible inhibitions on the part of the students to ask questions are reduced by this.

Université de Nantes, Frankreich; Universidad Politécnica de Madrid, Spanien; Universidad San Jorge, Zaragoza, Spanien; Universität Basel, Schweiz; Institute of Technology, Blanchardstown, Irland; Göteborgs Universitet, Schweden; Technological Educational Institut of Epirus, Arta, Griechenland; University of Warmia and Mazury, Olsztyn, Polen; Università di Pisa, Italien; Universität Hacettepe, Ankara, Türkei

Excellent access to high-performance cluster "HILBERT", which can also be used by students for appropriate final theses. Excellent infrastructure for artificial intelligence and machine learning applications.

Strong interdisciplinary orientation in research, e.g. through the participation of bioinformatics in the biology excellence cluster; through intensive cooperation with the social sciences at the "Düsseldorf Institute for Internet and Democracy" (with a focus on digital democracy) and the "Leibniz Institute for Social Sciences" in Cologne; close cooperation with medicine in the fields of data science and artificial intelligence; joint professorships with the Jülich Research Centre in data science and machine learning.

A professorship for practice-oriented start-up teaching is currently being established. Support by DIWA GmbH, a joint technology transfer agency of Heinrich Heine University and the state capital Düsseldorf. The aim of DIWA is to support start-ups from science, to intensify cooperation between science and industry and to strengthen Düsseldorf as a location for science and technology.

Establishment of a group of staff members who, with special focus and didactic training, are dedicated to the development and monitoring of basic teaching. In the course of this development, a programme for the early detection of problems and for the support of weak students will be established.