Degrees incorporating this pedagocial element :
Organisation of education :
Description
Contents:
- Introduction to database
- Introduction to big data
- Introduction to high performance computing (HPC)
- Numerical solvers for HPC
The aim of this course is to give an introduction to numerical and computing problematics of large dimension problems.
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 |
In brief
Period : Semester 8Credits : 6
Number of hours
- Lectures (CM) & Teaching Unit (UE) : 33h
- Practical work (TP) : 15.5h
Location(s) : Grenoble
Language(s) : English
Contact(s)
Program director
BAHAREH AFSHINPOUR
Cyril Labbe
International students
Open to exchange students