Master

Applied data sciences

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

Langue de l'enseignement : Anglais

Description du contenu de l'enseignement

Objectives in terms of knowledge (course content) :

This teaching is intended to raise the student's awareness of the problems associated with the automatic processing of very large quantities of data in different fields of human activity (economics, communication, biology ...). The objective is to show that the implementation of a high-throughput experimental strategy is closely linked to the use of adapted IT tools. The teaching is mainly based on case studies, following presentations by different actors and professionals dealing with the issue of "big data".

Compétences à acquérir

Objectives in terms of skills :
  • Assess hardware and software needs in a project
  • Finding skills in the field of data processing
  • Draft specifications for an IT service company
  • Monitor the evolution of this sector of activity

Contact

École supérieure de biotechnologie de Strasbourg (ESBS)

300, boulevard Sébastien Brant - CS 10413
67412 ILLKIRCH-GRAFFENSTADEN
0368854680

Formulaire de contact

Responsable


MASTER - Biotechnologies

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Fondation Université de Strasbourg
Investissements d'Avenir
Ligue européenne des universités de recherche (LERU)
EUCOR, Le Campus européen
CNRS
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