Computational Network Science
The Chair for Computational Network Science is part of the Faculty of Computer Science and the Department of Biology at RWTH Aachen University.
The research interests of our group are broad, but have one common denominator: the use of graphs and networks to analyse a variety of systems and data. A central methodological issue underlying our research is how one can study and integrate the multiple levels of organization which are commonly found in complex systems and high-dimensional data. To this end, we combine bottom-up dynamical models, and top-down data-driven approaches, and use a blend of tools from control theory, dynamical systems, stochastic processes, topology, machine learning and statistics. See the Research page for more details.
Latest News
Preprint "Random Abstract Cell Complexes" updated
Michael Scholkemper defends his PhD thesis
New publication in Nature Communications
Teaching in the Winter Term 2025/26
In the upcoming winter term 2025/26, we are excited to offer a range of courses and seminars in the field of Network Science. We will be teaching the following network-science related seminars:
- Topics in Network Science (Seminar, Bachelor)
- Advanced Topics in Network Science (Seminar, Master)
- Milestones in Network Science (Proseminar, Bachelor)
The two seminars will be held together, with different requirements for Bachelor and Master students. Unfortunately, all seminar slots are already filled and we cannot accommodate late registrations this term.
Additionally, we will offer the following practical lab:
- Network Analytics (Practical Lab, Master)
With a broader topic beyond network science, we will also offer the following lecture:
- Algorithmic Foundations of Data Science (Lecture, Bachelor/Master)
We are looking forward to an exciting term ahead and encourage students to explore these offerings! For more information on each course, please visit the respective links or contact the teaching assistants listed for each course.
Happy studying!
Contact
Prof. Michael Schaub, PhD
Chair of Computational Network Science
Office 6123a
Ahornstraße 55
52074 Aachen
Phone: +49 241 80-21490
EMail: schaub@netsci.rwth-aachen.de
We are located on the 1st floor of E2, Computer Science Center.
- Enter the Informatikzentrum from “Mies-van-der-Rohe Strasse”
- Turn right and walk towards the “Gemeinschaftslabor for Elektronenmikroskopie” (GfE).
- Go one floor up the staircase.
- Turn into the corridor on the right and you have reached your destination ;).