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Degrees incorporating this pedagocial element :
Description
The aim of this course is to give an introduction to numerical and computing problematics of large dimension problems.
Contents:
- Introduction to database
- Introduction to big data
- Introduction to high performance computing (HPC)
- Numerical solvers for HPC
Recommended prerequisite
First semester of M1 MSIAM.
Targeted skills
Algorithmics of big data and HPC
Knowledge assessment methods
Session 1 ou session unique - Contrôle des connaissances
| Type of teaching provided | Method | Type | Duration (min) | Coefficient |
|---|---|---|---|---|
| Teaching Unit (UE) | Practical | 100/100 | ||
| Teaching Unit (UE) | Written - supervised work | 120 | 100/100 |
Session 2 - Contrôle des connaissances
| Type of teaching provided | Method | Type | Duration (min) | Coefficient |
|---|---|---|---|---|
| Teaching Unit (UE) | Calculation report | 100/100 | ||
| Teaching Unit (UE) | Written or Oral | 100/100 |
Courses offered by :
In brief
Period : Semestre 8Credits : 6
Number of hours
- Cours magistral - Travaux dirigés : 36h
- Practical work (TP) : 18h
Language(s) : English
Contact(s)
Program director
Christophe Picard
International students
Open to exchange students