• ECTS

    2 credits

  • Component

    Faculty of Science

Description

This R programming course is aimed at students who will need to use a programming language for advanced data processing. The aim is to learn how to structure, comment and debug code properly. This course is aimed at both M1 SSD and M1 Bio-Info students. It is not intended to use packages as black boxes for implementing statistical methods.

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Objectives

Master the basic syntax of the R language for scientific programming.

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Necessary prerequisites

L3 science




Recommended prerequisites: some knowledge of statistics and probability. Knowledge of a programming language would be a plus.

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Knowledge control

Project-based continuous assessment

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Syllabus

1) Data import/export
2) Graphics
3) Programming:
- algorithms, modules, tests.
- variables, vectors, arrays, lists.
- functions, conditions, loops.
- objects
- interpretation & compilation
- dynamic libraries
4) Debugging principles and practice.
5) Version management
6) Documentation
7) Integrated development environments.

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Further information

Timetable:
CM : 6h
TD : 10,5h
TP :
Field :

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