- Home
- Participant Homepage
- Course Offers
- Current Course Programme
- Operating Systems & Programming
- macOS: Fundamentals
- macOS: Efficiently use on-board Mac tools
- macOS: Backup, Security and System Maintenance
- macOS: Power User
- Python - Basics
- Python - Intermediate
- Science IT - Linux Command Line
- TheAlternative.ch - LinuxDays Install Event
- UZH365 – First steps with Power Automate
- Windows 10 operating system: Windows Backup
- Windows 10 operating system: Windows fundamentals
- Windows 10 operating system: System know-how
- Windows 10 operating system: Using Windows efficiently
- Image Editing, Illustration and Presentation
- Collaboration, Social Media and Webpublishing
- Accessibility@UZH in the CMS
- Images for your CMS Website
- UZH CMS Introduction Magnolia
- Introduction to programming with PHP
- Creating and Publishing Web Pages
- Basic Introduction to JavaScript
- UZH365 - Task management with Microsoft Planner
- Basics of collaboration in the UZH365 Cloud
- UZH365 - Grundlagen der Zusammenarbeit mit Microsoft Teams
- UZH365 - Microsoft Outlook (im Web) Grundlagen
- UZH365 - Mit Outlook Desktop für Mac einfach zusammenarbeiten
- UZH365 - Onlinebesprechungen mit Teams produktiv gestalten
- UZH365 - Outlook Desktop Productivity Training
- Data Science
- Einführungskurs in das Statistikpaket SPSS
- Introduction to Programming with MATLAB
- Introduction to Text Analytics with Python
- Learn spatial programming with QGIS and Python
- Python - Data Analysis Essentials
- QGIS Desktop Basics
- Qualitative Datenanalyse mit MAXQDA
- R: Basic Introduction
- R: Crash Course in Statistics using R
- R: Reporting using R Markdown
- R: tidyverse for Data Science
- R: Web Scraping
- Stata: Introduction
- UZH365 - Datenanalyse und Visualisierung mit PowerBI
- Databases, Spreadsheet
- MS Excel 365: Basis (Mac)
- MS Excel 365: Basis (Windows)
- MS Excel 365: Datenanalyse und Datenvisualisierung (Mac)
- MS Excel 365: Datenanalyse und Datenvisualisierung (Windows)
- MS Excel 365: Formeln und Funktionen (Mac)
- MS Excel 365: Formeln und Funktionen (Windows)
- ZI Coding School: Einführung in SQL und Datenbankdesign
- E-Learning
- Scientific Computing
- Text Processing & Publishing
- Knowledge Management
- Course Offers
- Scientific Computing
- Science IT – ScienceCluster base
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.
General information
Duration | 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.
Login access to the ScienceCluster should be obtained prior to the course. Contact the Science IT Helpdesk for help.
Laptop computer
Contact the Science IT Helpdesk if you have an older version.
Login access to the ScienceCluster should be obtained prior to the course. Contact the Science IT Helpdesk for help.
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.
Contact the Science IT Helpdesk if you have an older version.
Dates
Code | Referents | Dates | Available seats | Place | |
---|---|---|---|---|---|
FS23-SCC05 |
Routh Devin
Reed Darren |
27.06.2023
(14:00 - 16:30 Time)
|
16 | Online Course | Register |
FS23-SCC06 |
Routh Devin
Reed Darren |
25.07.2023
(14:00 - 16:30 Time)
|
20 | Online Course | Register |
Please note before booking
Before booking your course, please note our General Conditions of Participation (pdf, 92 KB) but especially our Fair Play: Registration and Deregistration (pdf, 299 KB).... Thank you very much!Contact
E-mail: training@zi.uzh.chContact details
Course programme of the FS23:
The program for the spring semester 2023 (pdf in German, 475 KB) will be online from January. Registration is possible from 01.02.2023 (during the night from approx. 01:00)CMS, OLAT and Science IT courses also allow prior registration