The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
- Improvement of R programming
- Experimental designs using in omics analyses.
- Omics data transformation and visualisation.
- Multivariate data exploration and analysis.
Due to the COVID-19 crisis, the information in this section is particularly likely to change.The course will be composed of practical sessions, during which the students will implement solutions to data analysis problems using the R programming language and the RStudio development environment, and will use the unix command line.
Course attendance to all sessions (volume 1 and 2) is mandatory. In case of repeated unjustified absence, further attendance to the final exams might be excluded.
Due to the COVID-19 crisis, the information in this section is particularly likely to change.Continuous evaluation: the students will be given regular test throughout the course. Those that have and average mark equal or greater than 12 will be dispensed of the final exam.
The final exam will be practical and computer-based; the students will prepare a reproducible report in Rmd using RStudio answering exam questions addressing small scale data analysis task similar to those presented during the course. The test scores will be ignored when taking the final exam.
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