• ECTS

    2 credits

  • Component

    Faculty of Science

Description

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

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Objectives

Master the basic syntax of the R language to do scientific programming.

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Necessary pre-requisites

L3 scientifique




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

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Knowledge control

Continuous assessment by project

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Syllabus

1) Import/Export of data
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) Versioning
6) Documentation
7) Integrated Development Environments

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Additional information

Hourly volumes:
CM: 6h
TD: 10,5h
TP:
Field:

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