Jupyter combines executable programming code, texts, data and visualizations in a single document — the notebook. The web-based open source environment offers an excellent learning platform for data analysis, statistics and programming, which is also used in a variety of ways outside of teaching.
You can find out more about the possible applications in the article on the "Wissenswert" blog: "SHIFT+ENTER for teaching: How JupyterHub opens up new scope at the University of Bremen"
What's new?
From now on you can use JupyterHub directly from Stud.IP, without additional registration. This makes it even easier for teachers and students to get started with programming, data analysis and statistics.
You will receive an overview of your linked profiles in the Stud.IP workplace.
In addition to the courses, JupyterHub can now also be integrated into study groups as an additional tool and the linked profile can be started or a new profile can be created.
Each user can create their own "personal profile".
Advantages for lecturers
With JupyterHub at the University of Bremen you can:
- provide targeted programming and working environments for teaching,
- use data protection-compliant solutions (hosting at the university),
- reduce technical problems on students' end devices,
- work independently of the students' technical equipment,
- use the homework tool to create, distribute, grade and provide feedback on notebooks with assignments directly in Jupyter.
Advantages for students
Students can use JupyterHub to:
- create their own programming environments for self-study and final theses,
- work collaboratively on notebooks in study groups.
Further information and instructions
Directly to the JupyterHub: https://jupyter.uni-bremen.de
General information: /zmml/jupyter
Contact us at E-mail: infoprotect me ?!jupyter.uni-bremenprotect me ?!.de
PS: Read an article from up2date from 2024: "JupyterHub at the University of Bremen: More digital opportunities in studies" or view the presentation at the Stud.IP Tagung from 17.09.2025
JupyterHub trifft Stud.IP: Lehrunterstützung mit integrierter Teilnehmer- und Gruppenverwaltung
Isabell Schaffer, Marcel Meissner, Universit?t Bremen
PDF des Vortrags
