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Big Data Analytics technologies


At the end of this module, the student will have understood and be able to explain
The main spatial models encountered in various areas such as climatology, ecology, economy, epidemiology, image analysis, etc.
 The current statistical methods in geostatistics, data on a lattice, point pattern data.
The student will be able to
 Propose a model for spatial data, estimate the parameters of a spatial model and test the validity of the model.

Needed prerequisite

Probabilités et statistiques
Eléments de modélisation statistique.
Exploration et logiciels statistiques.

Form of assessment

The evaluation of outcome prior learning is made as a continuous training during the semester. According ot the teaching, the assessment will be different: as a written exam, an oral exam, a record, a written report, peers review...