Data Analysis

Recommended Prerequisites

NA

Teaching Methods

The teaching is based on lectures and practicals, focusing on different methods to characterize time series from different disciplinary fields.

Learning Outcomes

Analyze, interpret and model data associated with different space and time scales. Identify the appropriate analysis technique according to the nature and the type of data. Learn the limits of the different data processing techniques. Master the statistical tool in data characterization. Master a programming language and use data processing software.

Work Placement(s)

No

Syllabus

Fourier Analysis

Time-frequency and time-scale representations

Correlation analysis

Dynamic Linear Models

Assessment Methods

Assessment
Mini Tests: 100.0%

Bibliography

   - Méthodes et techniques de traitement du signal - 5ème édition, Jacques Max, Jean Louis Lacoume, Sciences Sup, Dunod, 2004.
- Une exploration des signaux en ondelettes, S. Mallat, Les Editions de l’Ecole Polytechnique, 2000.

- Analyse continue par ondelettes,, B. Torresani, Savoirs actuels -Interéditions/CNRS éditions, 1995.

- Application de la théorie des ondelettes, V. Perrier, Enseignement UNESCO Traitement du signal et des images numériques, Tunis, ENIT, 14-18 mars 2005.

- Linear algebra, signal processing, and wavelets. A unified approach. Python version , Øyvind Ryan, 2015.        - Ondelettes continues en Sciences de la Terre - méthodes et applications, P. Gaillot, Université Paul Sabatier - Toulouse III, 2000.