Fiche de cours
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): -
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.
Utilisation | Code faculté | Statut | Crédits |
---|---|---|---|
Maîtrise universitaire ès Sciences en sciences de la Terre (2022 ->) ›› Module 3: Quantitive and analytical methods | Obligatoire | 4.00 |