| Course label : | Data fusion and analytics |
|---|---|
| Teaching departement : | EEA / Electrotechnics - Electronics - Control Systems |
| Teaching manager : | Mister ALEXANDRE KRUSZEWSKI |
| Education language : | |
| Potential ects : | 0 |
| Results grid : | |
| Code and label (hp) : | SEI_SEC_FAD - Fusion et analyse de données |
Education team
Teachers : Mister ALEXANDRE KRUSZEWSKI / Madam SARA IFQIR / Mister CHRISTOPHE SUEUR
External contributors (business, research, secondary education): various temporary teachers
Summary
Educational goals
At the end of the teaching, the student is able to master the techniques of decision support and to initiate to soft computing techniques.
Sustainable development goals
Knowledge control procedures
Continuous Assessment
Comments:
Online resources
Pedagogy
Sequencing / learning methods
| Number of hours - Lectures : | 12 |
|---|---|
| Number of hours - Tutorial : | 12 |
| Number of hours - Practical work : | 1 |
| Number of hours - Seminar : | 0 |
| Number of hours - Half-group seminar : | 0 |
| Number of student hours in TEA (Autonomous learning) : | 0 |
| Number of student hours in TNE (Non-supervised activities) : | 0 |
| Number of hours in CB (Fixed exams) : | 0 |
| Number of student hours in PER (Personal work) : | 0 |
| Number of hours - Projects : | 0 |
Prerequisites
Maximum number of registrants
Remarks
This module is shared with the Master ASE SMART