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School of engineering in Physics, Applied Physics, Electronics & Materials
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Our engineering & Master degrees
Our engineering & Master degrees

> Studies

Data analysis - 4PMSAND9

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  • Number of hours

    • Lectures : 8.0
    • Tutorials : 6.0
    • Laboratory works : 4.0
    • Projects : 0
    • Internship : 0
    ECTS : 1.5

Goals

This course presents the most traditional mathematical methods used to extract
information contained in a large data file. Acquired knowledge will allow to the future
engineers to use the many software of analysis of data.

Contact Christine FAURY, Bertrand RIVET

Content

  • Mathematical tools
  • Link between matrices and variance
  • Principal Component analysis


Prerequisites
  • Probability and basic statistics
  • Linear algebra, matrix computation

Tests

Final written exam - 2h



DS noté sur 16
BE noté sur 4
Note finale = DS+BE

Additional Information

Curriculum->Master TSI SIGMA->Semester 8
Curriculum->SICOM->Semester 8
Curriculum->Master->Semester 8

Bibliography

G. Saporta : Probabilites, Analyse des Donnees et Statistique (Technip 1990)

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Date of update March 18, 2019

Grenoble INP Institut d'ingénierie Univ. Grenoble Alpes