Science IT: ScienceCloud base

The ScienceCloud base course aims at providing you with a better understanding of how the Science IT's cloud computing service works and how you can use it to improve your research.

The course will cover a broad range of topics starting from the very basic introduction to ScienceCloud to a more complex and advanced use of the cloud computing service, including: How to log-in, how to create and control instances, how to create and manage data volumes, and how to put all of the above together (orchestrate) to serve your computational research needs and more. The ScienceCloud base course targets both ScienceCloud end-users (ie. researchers) as well as IT coordinators that support researchers.

Make sure to have your laptop computer ready and meet the course requirements described below.

The course will follow the contents of the "ScienceCloud Training Handout".
To find out more about ScienceCloud service, please see here.
 

Allgemeine Informationen

Dauer 2.5 hours
  • Introduction on ScienceCloud
  • What it is and how it works
  • Log-in
  • Upload keypairs
  • Getting familiar with the web interface
  • Starting and managing instances
  • Creating and managing data volumes
  • 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.

A basic understanding of SSH keypairs is needed to attend this course. It is also expected that you have your keypair prepared beforehand. Have a look at this mini-course to get started with SSH keypairs.

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 your virtual machine used in the course. You can find more information on the UZH VPN here.
      Note for Windows users: Windows 10 or newer is expected.
        Contact the Science IT if you have an older version.

Kursdaten

Code Referierende Daten Plätze frei Ort
FS24-SCB05 Favero Enrico
Oliveira de Carvalho Nickollas
Bukatz Bastian
Akbulut Emre
Rogers Paul
18.06.2024 (14:00 - 16:30 Uhr)
16 Online-Kurs zur Anmeldung
FS24-SCB06 Favero Enrico
Oliveira de Carvalho Nickollas
Bukatz Bastian
Akbulut Emre
Rogers Paul
16.07.2024 (14:00 - 16:30 Uhr)
20 Online-Kurs zur Anmeldung
HS24-SCB01 Favero Enrico
Oliveira de Carvalho Nickollas
Bukatz Bastian
Akbulut Emre
Rogers Paul
20.08.2024 (14:00 - 16:30 Uhr)
20 Online-Kurs zur Anmeldung
HS24-SCB02 Favero Enrico
Oliveira de Carvalho Nickollas
Bukatz Bastian
Akbulut Emre
Rogers Paul
17.09.2024 (14:00 - 16:30 Uhr)
20 Online-Kurs zur Anmeldung
HS24-SCB03 Favero Enrico
Oliveira de Carvalho Nickollas
Bukatz Bastian
Akbulut Emre
Rogers Paul
15.10.2024 (14:00 - 16:30 Uhr)
20 Online-Kurs zur Anmeldung
HS24-SCB04 Favero Enrico
Oliveira de Carvalho Nickollas
Bukatz Bastian
Akbulut Emre
Rogers Paul
19.11.2024 (14:00 - 16:30 Uhr)
20 Online-Kurs zur Anmeldung
HS24-SCB05 Favero Enrico
Oliveira de Carvalho Nickollas
Bukatz Bastian
Akbulut Emre
Rogers Paul
17.12.2024 (14:00 - 16:30 Uhr)
20 Online-Kurs zur Anmeldung
HS24-SCB06 Favero Enrico
Oliveira de Carvalho Nickollas
Bukatz Bastian
Akbulut Emre
Rogers Paul
21.01.2025 (14:00 - 16:30 Uhr)
20 Online-Kurs zur Anmeldung