1. Introduction to Renku

• Platform overview and benefits
• Basic concepts: projects, data connectors, code repositories and launchers
• Tour through the platform

2. Hands-on tutorial and activities

• Setting up your own project
• Creating interactive notebooks
• Integrating datasets and resources
• Converting existing materials to Renku format

3. Best practices and advanced features

• Collaborative project structures
• Managing computational resources
• Setting up student workspaces
• Version control for teaching materials

Objectifs

This course provides with the knowledge of Renku core features for educational purposes and for conducting research in collaborative environments. Thus, participants will have a guided hands-on experience on Renku so that they can gain fundamental understanding and start working on Renku immediately.

Public-cible

Enseignant·e·s et chercheur·euse·s, Etudiant·e·s, Employé·e·s

Responsables et intervenant·e·s

Responsable(s)

• Beeravolu Reddy Champak

Intervenant·e·s

Dr. Elisabet Capon : Elisabet works in the Swiss Data Science Center, as community manager for Renku since 2023. She holds a PhD. in Process Systems Engineering, and is a Chemical and Industrial Engineer. She has over 15 years’ experience in AI related topics, and spent have of her career in the academia conducting research, supervising PhD theses, master theses and teaching. She also has worked in the industry building the bridge between research and applied business challenges.

Programme

• Renku: an open-source platform for teaching and research

  Session 1	05.02.2026 de 10:00 à 12:00 Learning Lab (PER21 B205)
  Session 2	05.02.2026 de 10:00 à 12:00 Learning Lab (PER21 B205)