Multivariate Analysis & Modeling

MALM | Semester 2 | 4 ECTS

Responsibilities


Distinctions

  • Lectures
  • Seminars
  • Computer-based lab

Biography

This cours aims at developing a conceptual and practical understanding of the application of multivariate statistics and modeling in marine biology and ecology.

 

Learning outcomes

 Students should

  • extend the logics from univariate techniques to multivariate frameworks in hypothesis testing (Principle component analysis, factor analysis, discrimination, classification, clustering...)
  • understand stages of ecological simulation modeling (conceptualization, parametrization, implementation, sensitivity analysis), choose appropriate ecological models, validate, analyze & assess the performance of models, properly interpret outputs and plot results

    

Instructors

  • Christophe MOCQUET (UCA, SKEMA)
  • Steeve COMEAU (CNRS, Laboratoire d'Océanographie de Villefranche)