Positionnement dans le cursus
Semestre 5
TC
TC
TC
LV
TC
TC
TC
 
 
P - Intro
Stage
Intersemestre
Semestre 6
TC
TC
TB 1
LV
O 1
 
TC
TC
TB 2
 
O 2
 
P - Citoyen
Semestre 7
M 1
M 1
TB 3
TC
LV
M 1
M 1
TB 3
TC
O 4
O 3
 
P - Tech
Intersemestre
Semestre 9
M 2
M 2
D
LV 2/3
O 6
M 2
M 2
D
 
0 3
 
P - industriel
Intersemestre

Course unit

Information Systems for Big Data 2 - High performance computing

Last updated: 22/02/2024

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Course Director(s):

JAILLON Philippe

General Description:

This Unit presents aspects related to the implementation of information systems for Big Data

Important aspects linked to the following notions will be presented and studied :

  • Distributed database system
  • Spark and Hadoop tools
  • Legal and privacy aspects
  • Cloud and grid computing (for Big Data)

Key words:

Big Data Informations systems Hadoop Cloud Privacy

Number of teaching hours

21

Fields of study

Computer Science, Information Systems

Teaching language

French

Intended learning outcomes

On completion of the unit, the student will be capable of: Classification level Priority

Learning assessment methods

Percentage ratio of individual assessment Percentage ratio of group assessment
Written exam: % Project submission: 40 %
Individual oral exam: % Group presentation: %
Individual presentation: 20 % Group practical exercise: 20 %
Individual practical exercise: % Group report: %
Individual report: 20 %
Other(s): %

Programme and content

Type of teaching activity Content, sequencing and organisation