Boosting your digital classroom with Renku : Module 1

 Enseignant·es / Chercheur·euses

 Enregistrement en ligne

 Cours en anglais, assistance en français

 toujours accèsible

 Aucun prérequis en informatique n’est exigé pour ce module

The first module of this course will introduce you to Renku and how it empowers you with the best practices for data science, reproducibility and transparency (Lecture and Demos).

  • Objectif

    At the end of the first module of this course you should be able to set up your data science or programming courses on an open-source collaborative platform Renku.

  • Contenus et thèmes abordés
    • Benefits of using Renku to teach data science and software best practices
      • How Renku changes your teaching journey
      • Embracing industry standards : slow and steady with Git and the command line
    • Set up 101 : how to add packages and set up your containers
    • Integration with Moodle
      • Automated and manual grading
      • Fine-tuning privacy levels across a class
    • Responsible resource usage on Renku
  • Format, date et lieu

    MOOC - always accessible

  • Prérequis

    There are no pre-requisites for this module.

  • Responsable

    Scientific IT team ( in collaboration with the Swiss Data Science Center.

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