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Data sciences

Traitement quantitatif des données

Faculté de gestion: Faculté des géosciences et de l'environnement (FGSE)

Responsable(s): James Irving, Thomas Sheldrake
Intervenant(s): -

Période de validité: 2022 ->

Horaires du cours (Apériodique)

Date Lieu Remarque Thématique Intervenant(s)
22.02.2024 de 09:15 à 16:00 Géopolis/2113     
29.02.2024 de 09:15 à 16:00 Géopolis/2113     
07.03.2024 de 09:15 à 16:00 Géopolis/2113     

Cours-TP (travaux pratiques)

Annuel
Apériodique
Langue(s) d'enseignement: anglais
Public: Oui
Crédits: 4

Objectif

- Introduce students to computational methods for data analysis using programming languages such as R and Matlab - Provide experience with a variety of techniques commonly used to characterize and assess geochemical and geophysical data
- Develop techniques to interpret and assess causality in geological systems
- Understand how subsurface model parameters can be estimated via inverse methods

Contenu

Introduction to the quantitative analysis of geochemical, geophysical, and other data. Topics to be discussed include classification and image analysis, uncertainty quantification, regression, and parameter estimation / inversion. Students will learn how to deal with data-bias and non-uniqueness associated with limited and/or imperfect data sets, as well as how to analyze large data sets.
Sequence of the course
T. Sheldrake (Weeks 1-6) - Statistical inference (18h C + TP).
- Datatypesandprogramminglanguages:Characterizinganddescribingdata
- Timeseriesanalysis:Stationarity,seasonality,trendsmoothing,changepoints - Regression:goodnessoffitparameters,predictionandestimation
- Multidimensionalanalysis:clustering,multidimensionalscaling
- Imageanalysis:Segmentation,boundarydetection,vectorsandrasters
J. Irving (Weeks 7-12) - Parameter estimation and inversion (18h C + TP). - Modelparameterestimationforoverdeterminedsystems
- Ill-posedproblemsandtheneedforpriorinformation
- Linearinverseproblemswithexamplesfromgeophysics
- Introductiontonon-linearinversion
- TheFouriertransformanditsapplicationtodataanalysisandfiltering

Exigences du cursus d'études

Students should be familiar with programming languages and have taken the programming course in the Kickstarter fortnight if needed.

UtilisationCode facultéStatutCrédits
Maîtrise universitaire ès Sciences en sciences de la Terre (2022 ->) ›› Module 3: Quantitive and analytical methodsObligatoire4.00
Unicentre - CH-1015 Lausanne - Suisse
Tél. +41 21 692 11 11
Canton de Vaud
Swiss University