UE Informatics and statistics

Diplômes intégrant cet élément pédagogique :


This course is devoted to a refresher course in statistics and computer science.

The objective of the first part is to train students to master the statistical methods used in the life and health sciences.

  • Master the description of collected data
  • Master the choice of a decision support tool (statistical test) in adequacy with the experimental context
  • Master the concepts of modeling, regression, estimation of regression parameters, model validation and prediction
  • Master the correct interpretation of the results obtained and know how to communicate them.

At the end of this part, the students will be able to carry out a work requiring the statistical tool or to carry out a critical study of an article, a survey or experiment using usual statistical methods.

The second part of the course will provide students with a basic knowledge of programming in order to make them autonomous and to provide a skill that is sought after and appreciated in the different fields of biotechnology and health.

Statistic (12h)

  • Anova
  • Chi-squared test
  • Correlation
  • Linear regression
  • Logistic regression

Computer science (12h) :

Introduction to computer science and programming using Python :

  • A notion of computation
  • Python programming language
  • Testing and debugging
  • Data structure

Pré-requis recommandés

The pre-requisites required to follow this UE are:

  • Summary Statistics
  • Confidence intervals
  • Hypothesis testing
  • Independence t-test and paired t-test

Informations complémentaires

Langue(s) : Anglais