The URZ offers a range of events for various target groups:
- courses and training
- conferences, lectures and seminars
- forms and user conferences
- events to promote doctoral and early-career researchers
Courses and Training
heiCONF: Kennenlernworkshop für Einsteiger*innen
Sie müssen Videokonferenzen organisieren, an Konferenzen via heiCONF teilnehmen oder brauchen eine Einführung in das System? In diesem Workshop für Einsteiger*innen von zirka 30 Minuten werden die wichtigsten Funktionen des universitären Web-Konferenzsystems heiCONF kurz vorgestellt.
heiBOX: Kennenlernworkshop für Einsteiger*innen
Sie kennen unseren Sync-und-Share-Dienst heiBOX noch nicht? In diesem Workshop für Einsteiger*innen von zirka 45 Minuten werden die wichtigsten Funktionen des universitären Cloud-Dienstes heiBOX kurz vorgestellt.
heiCHAT: Kennenlernworkshop für Einsteiger*innen
Chat, Audio- und Videotelefonie leicht gemacht: In diesem Workshop für Einsteiger*innen von zirka 30 Minuten werden die wichtigsten Funktionen des universitären Instant Messaging Dienstes kurz vorgestellt. Verschlüsselte und datenschutzkonforme Kommunikation in Echtzeit gelingt danach problemlos.
bwHPC Workshops
In the offered workshops, beginners and advanced users can learn everything they need to know about using our high performance computing systems, which are part of the implementation concept for high performance computing in Baden Württemberg bwHPC.
Data Storage and Backup - Training
This training course will teach you how the synchronization and backup solutions, heiBOX and Client-Backup, are used, so that, in case of a computer malfunction, the user data can be restored as quickly and completely as technologically possible.
Research Data Management
The Competence Centre for Research Data, jointly run by the University Library (UB) and URZ, regularly offers workshops and training all around the topic of research data management. Individual appointments for consultation can also be arranged.
IBM SPSS Training for Beginners
+++ Registration now open +++
IBM SPSS is a statistical software that is used in many institutions of the university. Working with SPSS is not difficult when you have overcome the initial hurdles.
E-Science-Tage 2021 
The successful, interdisciplinary conference series for the first time as an online conference:
The E-Science-Tage 2021 "Share Your Research Data" will take place from 4th to 6th March 2021.
By sharing research data, scientists can benefit from the opportunity to use pre-existing data sets, thereby boosting the efficiency of overall scientific progress. Data exchange creates greater transparency and can be regarded as a quality control measure. It facilitates new collaborations, promotes interdisciplinary and international cooperation and ultimately increases gains in scientific knowledge. All these aspects are conducive to good scientific practice and ensure the high quality standards of our research.
Forms and User Conferences
Community Forum Data-Intensive Computing
The Community Forum Data-Intensive Computing (DIC) is an exchange and information meeting for current and future users of DIC services of Heidelberg University.
IT Forum for IT Representatives
The IT Forum regularly offers an open platform for exchange and discussion between the University Computing Centre and university IT representatives.
More information (for Heidelberg University IT representatives only)
Events for future IT specialists and researchers
Girls' Day
Girls' Day, "Future Day for Girls", offers school-aged girls the opportunity to learn about careers in IT, skilled trades, natural sciences, and technology. The URZ has participated in this initiative for several years and introduces the participants to the daily operations of a university computing center and teaches them various IT-related skills through practical beginners’ courses.
Student Cluster Competition
Together with a team of students, the University Computing Centre (URZ) takes part in the Student Cluster Competition at the ISC High Performance Conference in Frankfurt am Main every June. Twelve teams from universities all over the world compete against each other. Their objective is to build a high performance computer cluster.
