Internet of things: Dive to a shifting technological landscape
Keywords : Big data, Cloud Computing, IoT mobile applications, Machine learning, Security, Sensors and Sensor Networks, Indoor Localization, Mobility analysis
Keywords : Big data, Cloud Computing, IoT mobile applications, Machine learning, Security, Sensors and Sensor Networks, Indoor Localization, Mobility analysis
The IoT master program will offer a whole set of courses (including a part shared with the UFC students’ courses) aimed at training high-level specialists in distributed computing, network technologies, big data, cloud computing, and development of mobile applications. The program also leaves an important place for complementary courses in management, entrepreneurship and French culture.
Le master Internet of Things a pour objectif, en termes d’apprentissage, de délivrer des connaissances approfondies dans la conception, le développement et le déploiement d’applications et d’infrastructures mobiles et réparties de type Mobile Cloud Computing. Les connaissances et les méthodes acquises permettent aux étudiants de s’intégrer dans un contexte technologique très évolutif, ou pour ceux qui le souhaitent, d’entamer une carrière de chercheur
The graduate student will be able to:
The theme of the Internet of Things represents an economic issue and has been moreover identified by the authorities as a priority project. This theme particularly targets the potential for diversification of industries established locally or internationally and answers their needs. It supports the expected boom in the market for products and services related to connected objects.
Le diplômé sera capable :
La thématique de l’Internet of Things représente un enjeu économique et a d’ailleurs été identifiée par les autorités comme un chantier prioritaire. Cette thématique cible particulièrement le potentiel de diversification des industries implantées localement ou à l’international et répond à leurs besoins. En particulier, elle accompagne l’explosion annoncée du marché des produits et services liés aux objets connectés.
To be eligible, candidates need :
For the Master 2 degree, the candidates need :
Advanced algorithmic (Acquire skills on advanced algorithmic, Data structures, Routing algorithms, Geometric algorithms, Parallel algorithms, analysis) – Shared with UTBM |
Mobile development (Design, development and deployment of IOT and mobile applications) |
Infrastructure and routing for connected objects (Explore the architecture and key equipment for objects communication and routing protocols for IoT) |
Data mining (basics of big data and machine learning tools) – Shared with UTBM |
Team management and communication |
English or French as Foreign Language |
(cloud computing issues, cloud concepts and aspects of security, data protection, backup, elasticity, fault tolerance, deployment, virtualization)
Radio networks (Acquire the skills on the technical and functional specifications of the mobile, wireless, short/long range networks GSM/GPRS/EDGE (2G), UMTS (3G), LTE (4G), 5G, BLE, LoRa, Sigfox, LTE-M, NB-IoT) – Shared with UTBM |
Positioning systems: techniques and applications (geographic information system, Indoor positioning systems, GPS positioning, …) – Shared with UTBM |
Embedded systems (Understand the low-level aspects necessary for the development of embedded computing, integration of software modules (operating systems, drivers)) |
English or French as Foreign Language |
Project at the lab |
You must choose 2 blocks among the 3
Block 1 | >Deep learning (DL) for IoT (general ideas behind DL, Design some DL architectures, link between data of IoT and DL) |
Security for connected objects () | |
Block 2 | Mobility in smart cities (design mobility, dynamic, and location-based services) |
Modular robots programming and swarm robotics (Introduction to distributed algorithmics dedicated for programming modular robots, MELD) | |
Block 3 | Agent-based Modelling and Simulation for IoT (Computer Simulation and Agent-based Simulation, incomes and outcomes of a simulation scenario, etc. |
Perception and interactions for IoT (Describe the different types of sensors, their behaviour and their limitations, design and develop algorithms for data processing, data analysis and data fusion) |
Main Research Project | |
An Introduction to Innovation Studies |
Research Internship
The professions targeted by the master are in the fields of communication technologies, geo-positioning, development of mobile applications, processing and analysis of big data, 3D modelling and display and are:
Les métiers visés par le master se situent dans les secteurs des technologies de communication et de géo-positionnement, du développement d’applications mobiles, le traitement et l’analyse de données massives, la modélisation et l’affichage 3D et sont :