BIO-641 / 2 credits

Teacher: Dayan Michaël Jérémy Pierre

Language: English

Remark: Spring 2022


Every year


The "Examples of Data Science Applications in Neuroimaging" (EDSAN) course illustrates the use of open & reproducible data science in neuroimaging, with a strong focus on MRI.



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 Outcome: To implement in Python a neuroimaging MRI data science project within a Linux environment while using best practices of FAIR data and reproducible science.


Data Science; NeuroImaging; MRI; Python; Machine Learning

Learning Prerequisites

Required courses

Introduction to Open & Reproducible Data Science (IORDS)

In the programs

  • Exam form: Written (session free)
  • Subject examined: Data Science applications in Neuroimaging
  • Lecture: 34 Hour(s)
  • Exercises: 30 Hour(s)

Reference week