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Space Education Catalogue

Ingénieur Grenoble INP - Phelma, Filière Signal, image, communication, multimédia (SICOM)

• Organisations :
  • Grenoble INP - Phelma
  • Université Grenoble Alpes
    (Université Grenoble Alpes)
• Way of training : Initial education - Life-long learning
• Language(s): French
• Place: Grenoble (French Regions: Auvergne-Rhône-Alpes)
• Prepared diploma/grade/title: Diplôme d’ingénieur (French national engineering degree)
• 1st required level : French baccalauréat + 3
• This training is included in RNCP / RS

Course Details

Objectives : The signal, Image, Communication and Multimedia (SICOM) sector aims to train high-level engineers with a triple competence in signal processing, electronics and it enabling them to develop industrial projects in The areas of activity where these disciplines intersect.

The demand for engineers in these fields is in strong growth because signal, image, communication and multimedia are at the heart of many industrial sectors such as information technology, telecoms, biomedical, leisure...
Objectives
-mastering the principles, techniques and mathematical tools for signal processing and information processing.
-to Master the concepts, methods and tools in electronics to develop the measurements/instrumentation,...
-mastering Computer Tools
-mastering the modeling of the physical processes of signal generation
-master the design of complex processing systems (multidimension, multi-component, Multimedia)
-mastering the signal processing algorithms for digital communications, image processing and speech

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

Prerequisites : This path concerns the 2nd and 3rd year of the engineering school.
It's better to have followed first year of common-core syllabus Phelma:Physics ElectronicsTelecoms.

Duration and terms : 3 years

Dedicated web site : https://phelma.grenoble-inp.fr/fr/formation/ingenieur-de-grenoble-inp-phelma-filiere-signal-image-communication-multimedia-sicom#page-presentation

Disciplines

• Engineering Sciences

Topics

• 11 - Computer Science, Applied Mathematics, Modelling, Optimisation, Digital and Data Sciences, Big Data, Cryptography, Cybersecurity, Artificial Intelligence
• 14 - Transports, Intelligent Transportations Systems (ITS), Mobility, Vehicles, Unmanned Aerial Vehicles (UAV)