Space applications
training courses

Courses

Master EEA - Parcours Signal Image et Apprentissage Automatique (SIA2)

Organisation : Faculté des Sciences et Ingénierie Université Toulouse III - Paul Sabatier
(Université Toulouse 3 - Paul Sabatier)
Way of training : Initial education - Life-long learning
Language(s): French
Place: Toulouse (French Regions: Occitanie)
Prepared diploma/grade/title: Master or DNM: French National Master Degree
1st required level : French baccalauréat + 3
VAE (Validation of Acquired Experiences): Yes
This training is included in RNCP / RS

Course Details

Objectives : This SIA2 master trains Engineers specialized in the design and operation of systems for the acquisition, processing and analysis of signals, images, or other data, for various fast-growing sectors: telecommunications, multimedia, computer vision, observation of the earth and the universe, processing of medical images...

In the second year, following a common core of in-depth study of signal, image and video processing tools, statistics, machine learning and a computer project, 3 specialization blocks are offered according to the 3 fields of application:
- Signal, Audio, Images, Video
- Spatial Imaging
- Medical Image Processing

Public concerned : Students, Professionals in Continuing Education

Degree Level (EU) : 7 - (EQC level or equivalent)

Acquired skills during the training : Skills specific to the course:
Analyze and model a signal, image or video acquisition device adapted to a given application context.
Design, implement and validate a system for processing and/or analyzing Audio, Image, Video, Spatial or Medical data by exploiting or adapting advanced, mathematical and computer tools related to signal, image and data processing. machine learning.
Develop such systems in various fields of application, telecommunications and multimedia, computer vision, image processing in a context applied to the observation of the Earth or the Universe or medical images.

Targeted careers : Activity area
Space aeronautics, Research-innovation, Robotics, electronics & electrical industry, instrumentation, Health & care, Telecommunications & networks

Duration and terms : 4 semesters

Dedicated web site : https://www.univ-tlse3.fr/master-parcours-signal-image-et-apprentissage-automatique-sia2

Applications

Health and Societal challenges (E-health, tele-epidemiology, space medicine; Risk management, security, education, tourism...)

Space Technologies and Scientific Disciplines