Application of statistical methods I

Catalog of Télécom SudParis courses

Code

IGFE MAT 7007

Level

MSc

Graduate

PostGraduate

Semester

Fall

Domain

Mathématiques

Program

Master of Science

Language

Anglais/English

ECTS Credits

6

Class hours

45

Workload

135

Program Manager(s)

Department

  • Electronique et Physique

Educational team

Organisation

Cours/TD/TP/projet/examen :

Learning objectives

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.

Keywords

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

Content

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

Evaluation

- continuous exam
- written exam
- oral exam