Application of statistical methods I

Catalogue des cours de Télécom SudParis

Code

MAT 7007

Niveau

PostGraduate (MSc)

Domaine

Mathématiques

Langue d'enseignement

Anglais

Crédits ECTS

9

Heures programmées / Charge de travail

45 / 135

Responsable(s)

  • EL YACOUBI Abdenaim

Département

- Electronique et Physique

Equipe pédagogique

  • DORIZZI Bernadette
  • GARCIA Sonia
  • EL YACOUBI Abdenaim

Objectif

Machine Learning and Statistical Data Processing are today ubiquitous tools in several fields such as ICT, telecommunications, physics, geophysics, environment, biology, etc. The ever-increasing quantity of information requires the use of advanced statistical methods to make sense of raw data. This course aims at providing the fundamentals of decision theory and above all the practical bases for the implementation of state of the art statistical methods.

Contenu

- Introduction
- Preprocessing, Feature Extraction
- Statistical Data Analysis
- Bayesian Decision Theory
- Clustering
- Neural Networks
- Hidden Markov Models
- Project

Prérequis

 

Mots-clés

Statistical Data Analysis, decision theory, Unsupervised Methods, Supervised Methods

Evaluation

- continuous exam
- written exam
- oral exam

Approches pédagogiques

 

Programme

Master of Science

Fiche mise à jour : 13/07/2017 16:03:02