Description
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 visées
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
Contacts
Responsable(s) de l'enseignement
MCC
Les épreuves indiquées respectent et appliquent le règlement de votre formation, disponible dans l'onglet Documents de la description de la formation.
- Régime d'évaluation
- CT (Contrôle terminal, mêlé de contrôle continu)
- Coefficient
- 1.0
Évaluation initiale / Session principale - Épreuves
| Libellé | Type d'évaluation | Nature de l'épreuve | Durée (en minutes) | Coéfficient de l'épreuve | Note éliminatoire de l'épreuve | Note reportée en session 2 |
|---|---|---|---|---|---|---|
Data treatment and analysis | CT | ET | 120 | 1.00 |
Seconde chance / Session de rattrapage - Épreuves
| Libellé | Type d'évaluation | Nature de l'épreuve | Durée (en minutes) | Coéfficient de l'épreuve | Note éliminatoire de l'épreuve |
|---|---|---|---|---|---|
Data treatment and analysis | CT | ET | 120 | 1.00 |