BIO-645 / 2 crédits

Enseignant: Dayan Michaël Jérémy Pierre

Langue: Anglais

Remark: Fall 2021


Every year


The "Introduction to Open & Reproducible Data Science" (IORDS) course is aimed at students of all levels to train them in the core computer science software stack and techniques forming the pillars of open & reproducible science.



The course will be made available in hybrid mode, with attendance either physically in the auditorium of Campus Biotech in Geneva or remotely by connecting to our dedicated computing infrastructure during the lectures. In addition to the evaluation, credits will only be provided for those attending live at least 80% of the lectures (remotely or physically). An email address of an official accredited university is required. A computer is required to attend the live lectures: a laptop if attending on site, a laptop or a desktop if attending remotely.


Attention: it is also necessary to register at in addition to signing up for the course.


Questions: Contact


Learning outcomes: To implement in Python a data science project within a Linux environment while tracking code changes with the git version control system.



Data Science; Linux; Git; Python; Machine Learning

Learning Prerequisites

Required courses


Recommended courses


Dans les plans d'études

  • Forme de l'examen: Ecrit (session libre)
  • Matière examinée: Introduction to open & reproducible Data Science
  • Cours: 35 Heure(s)
  • Exercices: 35 Heure(s)

Semaine de référence