Detailed information about the course
An introduction to R
13 and 19-20 May 2022
Catherine Suarez, coordinator CUSO Ecology & Evolution, UNIGE
Debora Zoia, coordinator CUSO MPS, UNIL
Corinne Dentan, coordinator CUSO StarOmics, UNIL
Emilie Genty, coordinator CUSO Microbiology and DPOB, UNINE
Dr Jan Wunder, Wunder Consulting Wald, ZH
The open source software R (http://www.r-project.org) has revolutionized the statistical data analysis for most bioscience disciplines.The required time to learn the R software is well invested, since the R environment covers an unmatched spectrum of statistical tools including an efficient programming language for automating time-consuming analysis routines. Due to its popularity, R is continuously updated and extended with the latest analysis tools that are available in the different research fields. The R environment is completely free and runs on all common operating systems.
9:00-12:00 and 13:00-17:00
May 13: University of Lausanne, Amphipôle 210
University of Lausanne
Course completion requirements:
Time: 9h00-12h00 and 13h00-17h00
The course is organized in collaboration with the CUSO doctoral programs in Molecular Plant Sciences (CUSO MPS), StarOmics (CUSO StarOmics), Microbiology (CUSO Microbiology) and the Doctoral Program in Organismal Biology of Neuchâtel (DP-Biol).
Reimbursements for CUSO Microbiology Students:
NEW from 2021: Reimbursement of your travel tickets can be asked online through your MyCUSO.
For any question concerning reimbursement please contact the CUSO Microbiology coordinators: microbiologie(at)cuso(dot)ch
Registration here: registration
Deadline for registration: 12 may 2022
In case of cancellations, before the deadline (20.04): free
|Deadline for registration|
In case of question, please write to us at microbiologie(at)cuso(dot)ch