- Home
- Teilnehmenden Homepage
- Kursangebote
- Aktuelles Kursprogramm
- Betriebssysteme, Programmieren
- Digitale Selbstverteidigung: Einführung in die IT-Sicherheit für Anwender:innen
- Python: Automatisierung, Web-Scraping, Bildbearbeitung
- Linux: Bash Workshop (TheAlternative.ch)
- Python: Machine Learning for Beginners
- Linux: Introduction to Open Source Software (TheAlternative.ch)
- Git: Continuous Integration und Deployment in GitLab@UZH
- Python: Basics
- Python: Intermediate
- Microsoft Power Automate: Digitalisierung erster Prozesse
- Science IT: Linux Command Line
- Bildbearbeitung, Illustration und Präsentation
- Collaboration, Social Media und Webpublishing
- CMS: Barrierefreie Webseiten erstellen
- Social Media und Wissenschaftskommunikation
- Bilder für den Webauftritt
- CMS-Einführung Magnolia
- Erstellen und Publizieren von Webseiten
- JavaScript: Grundlagen
- Microsoft Planner: Aufgabenmanagement mit Kanban
- UZH365: Erstellen Sie mit SharePoint Webpages, Bibliotheken und Lists ein Intranet
- UZH365: Effektive Kommunikation mit Teams Telefonie
- UZH365: Grundlagen der Zusammenarbeit in der Cloud
- UZH365: Microsoft Outlook (im Web) Grundlagen
- UZH365: Outlook Desktop Productivity Training
- UZH365: SharePoint Grundlagen
- TOPdesk: Hands-on Essentials
- Data Science
- QGIS: Räumliche Datenanalyse und Kartenerstellung
- Python: Introduction to Natural Language Processing (NLP)
- Python: For the Digital Humanities
- Einführungskurs in das Statistikpaket SPSS
- Introduction to Programming with MATLAB
- Python: Data Analysis Essentials
- Qualitative Datenanalyse mit MAXQDA
- R: Basic Introduction
- R: Crash Course in Statistics using R
- R: Reporting using Quarto & R Markdown
- R: tidyverse for Data Science
- PowerBI: Datenanalyse und Visualisierung
- Datenbanken, Tabellenkalkulation
- E-Learning & Examination
- Scientific Computing
- Textverarbeitung, Publishing
- Wissensmanagement
- UZH365: Digitale Kommunikation und Zusammenarbeit
- IT Kurse von weiteren Organisationseinheiten der UZH
- Lunchveranstaltungen
- Kursraum-Informationen
Science IT: ScienceCluster base
The ScienceCluster base course is designed to introduce new users to Science IT's cluster computing service.
This course will cover the basics of logging in to the cluster, managing your files across the various storage areas, submitting jobs with parallelized components, accessing outputted results, and much more. This course benefits both researchers as well as IT coordinators that support researchers.
Make sure to have your laptop computer ready and meet the course requirements described below.
To find out more about the ScienceCluster, please see here.
Materials that can be used during the course and beyond can be found here.
Allgemeine Informationen
Dauer | 2.5 hours |
---|
- What is the ScienceCluster?
- Logging in
- Running and monitoring jobs
- Slurm workload manager
- Software modules
- Transferring and sharing data
- Setting up python virtual environments
- GPUs
- Strengths and limitations
- Open discussion (and time to discuss your intended use cases)
It is recommended to first take the Science IT - Linux Command Line course or another basic linux command line tutorial, or to have reasonable prior experience with the Bash shell.
If you already have access to the ScienceCluster you will be able to use your account for the training course. Otherwise, you will be given temporary access for the duration of the course.
Laptop computer
If you already have access to the ScienceCluster you will be able to use your account for the training course. Otherwise, you will be given temporary access for the duration of the course.
Laptop computer
- In-person course: Bring your own laptop computer to the course.
- Online course: If not directly connected to the UZH-internal network, you will need a VPN connection to UZH in order to access the ScienceCluster. You can find more information on the UZH VPN here.
Materials that can be used during the course and beyond can be found here.
Kursdaten
Code | Referierende | Daten | Plätze frei | Ort | |
---|---|---|---|---|---|
HS24-SCC05 |
Routh Devin Reed Darren d’Errico Maria |
28.01.2025
(14:00 - 16:30 Uhr)
|
14 | Online-Kurs | zur Anmeldung |
FS25-SCC-01 |
Routh Devin Reed Darren d’Errico Maria |
25.02.2025
(14:00 - 16:30 Uhr)
|
20 | Universität Zürich Irchel | zur Anmeldung |
FS25-SCC-02 | Routh Devin |
25.03.2025
(14:00 - 16:30 Uhr)
|
20 | Universität Zürich Irchel | zur Anmeldung |
FS25-SCC-03 | Routh Devin |
22.04.2025
(14:00 - 16:30 Uhr)
|
20 | Universität Zürich Irchel | zur Anmeldung |
FS25-SCC-04 | Routh Devin |
27.05.2025
(14:00 - 16:30 Uhr)
|
20 | Universität Zürich Irchel | zur Anmeldung |
FS25-SCC-05 | Routh Devin |
24.06.2025
(14:00 - 16:30 Uhr)
|
20 | Universität Zürich Irchel | zur Anmeldung |
FS25-SCC-06 | Routh Devin |
22.07.2025
(14:00 - 16:30 Uhr)
|
20 | Universität Zürich Irchel | zur Anmeldung |