Centrale Lille Course Catalogue

IoT

Course label : IoT
Teaching departement : EEA / Electrotechnics - Electronics - Control Systems
Teaching manager : Mister ALEXANDRE KRUSZEWSKI
Education language :
Potential ects : 0
Results grid :
Code and label (hp) : SEI_SEC_IOT - IoT

Education team

Teachers : Mister ALEXANDRE KRUSZEWSKI
External contributors (business, research, secondary education): various temporary teachers

Summary

Smart Systems are systems made "smart" through different ways: technological and methodological. The Internet of Things or the ability to give life to objects, environments and processes is a recent paradigm that is becoming unavoidable and that can be a basis for Smart Systems to make them better communicate and cooperate.. Various sensors and communicating actuators allow the constant monitoring of tools, engines, production lines to establish accurate inventories, to ensure fine traceability, to carry out predictive maintenance, to detect anomalies or major problems. All this is made possible thanks to a set of technologies, both software and hardware. But all of this comes with a number of scientific and technological challenges. In this course, we will see the main principles of the basic technologies of the Internet of Things, from passive RFID to wireless sensor networks and actuators. We will see the different radio technologies and communication protocols, their strengths and their weaknesses.

Educational goals

At the end of this unit, the student will be able to: - Understand the major issues and challenges related to the Internet of Things - Determine which technology (s) and protocol set (s) are most relevant for a given application

Sustainable development goals

Knowledge control procedures

Continuous Assessment
Comments: Continuous assessment.

Online resources

Several tutorials for practical work will be available online.

Pedagogy

Sequencing / learning methods

Number of hours - Lectures : 10
Number of hours - Tutorial : 14
Number of hours - Practical work : 0
Number of hours - Seminar : 0
Number of hours - Half-group seminar : 0
Number of student hours in TEA (Autonomous learning) : 0
Number of student hours in TNE (Non-supervised activities) : 0
Number of hours in CB (Fixed exams) : 0
Number of student hours in PER (Personal work) : 0
Number of hours - Projects : 0

Prerequisites

Knowledge in networks, programming languages (C, Python)

Maximum number of registrants

Remarks