Number of hours
- Lectures -
- Projects 60.0
- Tutorials -
- Internship -
- Laboratory works -
- Written tests -
ECTS
ECTS 5.0
Goal(s)
Apply the various knowledge and skills acquired during the education to work on application projects. These projects are proposed by different research teams and industrial partners.
Antoneta BRATCU
Content(s)
It depends on the needs of the academic and industrial partners. Here is an idea of previous projects proposed:
1-View and automatic monitoring of airliners
2-Volhand
3-Outdoor Kite
4-Comparison of source separation algorithms performance for removing contaminant EEG artifacts eye
5-Directivity of aero-acoustic noise: application to speech output
6-Segmentation and classification of images of melanomas
7-Control of a flying insect Robot
8- Command of side and longitudinal vehicle
9-Robot controller Mindstorms NXT
Automatic - Signal Processing and Images - Industrial Computing
Evaluation non rattrapable (EN) / EN assessment :
25% présentation + 25% rapport + 50% note du superviseur / tuteur
Un grand poids sera donné au travail technique effectué, quantifié par les encadrants de chaque projet. Un rapport mi-projet est à soumettre. / 25% presentation + 25% report + 50% supervisor/tutor mark
Great weight will be given to the technical work done, quantified by the supervisors of each project.
A mid-project report is to be submitted.
EN 100%
The course exists in the following branches:
- Curriculum - Master inter MARS - Semester 9
- Curriculum - Master's Degree in Engineering ASI - Semester 9
Course ID : 5EUS5PI
Course language(s):
You can find this course among all other courses.