From experimental design to data analysis

  • Cours (CM) 10h
  • Cours intégrés (CI) -
  • Travaux dirigés (TD) 10h
  • Travaux pratiques (TP) -
  • Travail étudiant (TE) -

Description du contenu de l'enseignement

Objectives in terms of knowledge (course content) :
Mathematics for experimental design and data analysis
  • matrix: definition and elementary matrix calculation
  • eigenvalues and eigenvectors
  • diagonalization
  • solving an under-parametrized system

How to build the most efficient experimental plan :
  • the role of experimental uncertainties in a plane
  • modelization and plane
  • criteria of the most efficient planes
  • simple and multiple linear regressions
  • model validation
  • confidence and prediction intervals

Compétences à acquérir

Objectives in terms of acquired skills :
  • Understand how matrix can help to build efficient experimental planes,
  • Basic principle of analyse data
  • How to modelize a plane

Contact

Ecole Supérieure de Biotechnologie de Strasbourg

300 BOULEVARD SEBASTIEN BRANT
67412 ILLKIRCH-GRAFFENSTADEN
0368854510

Intervenants


MASTER - Biotechnologies