Internet of Things
- UE code INFOM450
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Schedule
30 15Quarter 1
- ECTS Credits 5
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Language
Anglais
- Teacher
The objectives of the course are to study the specificities of mobile devices and their uses, and in particular the following aspects
This course therefore follows on from the following courses:
At the end of the course, the student:
The OS part explores the specificities of OS for mobile devices according to the classical analysis grid: process management, memory management, input/output management; after a characterisation of mobile devices and a brief history of the evolution of OS in this field, the most widespread systems are studied in detail (iOS, Android, Windows Phone).
The Interaction track will look at how the Internet of Things fits into our environments, as well as the characteristics that separate it from more traditional interfaces such as websites. Good design practices will be discussed.
The Networks component completes the introduction to communication networks given in the bachelor's degree by presenting the specificities of wireless connectivity: Long-Term Evolution (LTE) and heterogeneous access networks, Evolved Packet Core (EPC) and IP Multimedia Subsystem (IMS).
The Security section deals with vulnerabilities and countermeasures specific to mobile technologies and their use. In particular, it addresses permissions management, digital signatures for applications, securing application models, and the issue of BYOD (Bring Your Own Device).
Exercises for this class take place in the INFOM453 teaching unit.
The assessment takes place at the level of the "ambient and mobile computing" option, in the INFOM453 teaching unit.
Various sources, mentioned in each chapter.
Training | Study programme | Block | Credits | Mandatory |
---|---|---|---|---|
Master 120 en sciences informatiques, à finalité spécialisée en data science | Standard | 0 | 5 | |
Master 120 en sciences informatiques, à finalité spécialisée en software engineering | Standard | 0 | 5 | |
Master 120 en sciences informatiques, à finalité spécialisée en data science | Standard | 2 | 5 | |
Master 120 en sciences informatiques, à finalité spécialisée en software engineering | Standard | 2 | 5 |