Programme d’études 2023-2024 | English | ||
IoT Networks and AI for Cities and Smart Grids | |||
Unité d’enseignement du programme de Master : ingénieur civil en génie de l'énergie , à finalité spécialisée en Energy Usage in Cities and Communities (MONS) (Horaire jour) à la Faculté Polytechnique |
Code | Type | Responsable | Coordonnées du service | Enseignant(s) |
---|---|---|---|---|
UI-M2-IRENCC-001-M | UE Obligatoire | MOEYAERT Véronique | F108 - Electromagnétisme et Télécommunications |
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Langue d’enseignement | Langue d’évaluation | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Crédits | Pondération | Période d’enseignement |
---|---|---|---|---|---|---|---|---|---|
| Anglais | 24 | 36 | 0 | 0 | 0 | 5 | 5.00 | 1er quadrimestre |
Code(s) d’AA | Activité(s) d’apprentissage (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Période d’enseignement | Pondération |
---|---|---|---|---|---|---|---|---|
I-TELE-045 | Communications for Automotive and Smart Grid Networks | 20 | 8 | 0 | 0 | 0 | Q1 | 46.70% |
I-ILIA-032 | Edge AI | 4 | 8 | 0 | 0 | 0 | Q1 | 20.00% |
I-ILIA-033 | IoT Project | 0 | 20 | 0 | 0 | 0 | Q1 | 33.30% |
Unité d'enseignement |
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Objectifs par rapport aux acquis d'apprentissage du programme
Acquis d'apprentissage de l'UE
This UE is constituted of 3 AA :
- TELE-045 - Communications for Automotive and Smart Grid Networks
understand how the world of current telecommunications is structured; understand an Internet Protocol (IP) computer network using packet switching; understand and analyze the operation of the physical layer; acquire a 'telecommunications' spirit giving future engineers a clear vision of any telecommunications system (fundamental principles and implementation) particularly in terms of the performance to be achieved, as well as the associated orders of magnitude; acquire notions related to smart electrical networks and communication buses used in cars.
- I-ILIA-032 - Edge AI
Understand the basics Edge computing and Edge AI
Understand the relation between IoT objects and embedded AI
Develop and optimize Edge AI modules that allow to reduce memory and energy consumption
Integrate Edge AI modules in real life use cases such as Smart Cities and Smart Homes.
- I-ILIA-033 - IoT Project
Integrated software development project dedicated to Internet of Things, connected objects and their use:
x Develop an application dedicated for managing data generated from connected objects by processing the entire pipeline from data collection to storage.
x Using sensors and connected objects within the software development project.
x Using wireless communication protocols dedicated to connected objects in the field of Internet of things.
x Studying the security of connected objects.
x The project could be dedicated a specific use case related to connected objects in the field of IoT.
Contenu de l'UE : descriptif et cohérence pédagogique
This UE is constituted of 3 AA. I-TELE-045 teaches the basics of telecommunications and gives examples in the frame of communications for automotives and smart grid. I-ILIA-033 develop a project approach to connect telecommunications nodes, retreive and transmit their data for processing. Finally, I-ILIA-032, emphasises the relationship between iot objects, edgde computing and AI.
- TELE-045 - Communications for Automotive and Smart Grid Networks
Telecommunications Overview; the OSI model of an IP computer network; concept of packets and frames; routing, access to the transmission channel and physical layer, in particular for the latter, baseband and modulation transmission. Importance of telecommunications in smart grids: an example of transmission will be studied more in detail (power line communications, SCADA, LoRAWAN, NB-IoT, ...). Importance of communications by a fieldbus in a car: an example of a bus will be studied more in detail (CANOpen or Modbus or Fieldbus or ....).
- I-ILIA-032 - Edge AI
Introduction and presentation of Edge Computing basics
Introduction of Edge AI basics
Edge AI for reducing energy consumption and Smart Cities.
- I-ILIA-033 - IoT Project
Getting started with using sensors and their connectivity with embedded devices such as Arduino, Lopy, Raspberry Pi, etc.
Studying and using wireless communication protocols (and possibly wired) used for sensors information transmission.
Build a dashboard allowing to monitor and analyze data from different connected objects. This dashboard should be cross-platform (Web/Desktop/Mobile).
Implement an actuation policy used to control the status of certain connected objects according to the data received from sensors (for example: electrical appliances, electric doors or windows, heaters, etc.)
Identify a backup strategy with different kind of databases.
Note: I-TELE-045 and I-ILIA-032 and I-ILIA-033 are part of the same UE. Their weighting in the total score of the UE corresponds to their number of credits (ETCS). In the case of failure of the UE, the marks for a successful AA will carry over to the next session.
Compétences préalables
Energy Data Analytics
Types d'activités
AA | Types d'activités |
---|---|
I-TELE-045 |
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I-ILIA-032 |
|
I-ILIA-033 |
|
Mode d'enseignement
AA | Mode d'enseignement |
---|---|
I-TELE-045 |
|
I-ILIA-032 |
|
I-ILIA-033 |
|
Supports principaux non reproductibles
AA | Supports principaux non reproductibles |
---|---|
I-TELE-045 | Sans objet |
I-ILIA-032 | Ok |
I-ILIA-033 | Sans objet |
Supports complémentaires non reproductibles
AA | Support complémentaires non reproductibles |
---|---|
I-TELE-045 | Sans objet |
I-ILIA-032 | Deep Learning |
I-ILIA-033 | Sans objet |
Autres références conseillées
AA | Autres références conseillées |
---|---|
I-TELE-045 | Digital communications : fundamentals to applications, Third editions, Bernard Sklar, Prentice Hall Computer Networking: a Top Down Approach, 8th edition, Jim Kurose, Pearson |
I-ILIA-032 | Sans objet |
I-ILIA-033 | Sans objet |
Reports des notes d'AA d'une année à l'autre
AA | Reports des notes d'AA d'une année à l'autre |
---|---|
I-TELE-045 | Autorisé |
I-ILIA-032 | Autorisé |
I-ILIA-033 | Autorisé |
Evaluation du quadrimestre 1 (Q1) - type
AA | Type(s) et mode(s) d'évaluation du Q1 |
---|---|
I-TELE-045 |
|
I-ILIA-032 |
|
I-ILIA-033 |
|
Evaluation du quadrimestre 1 (Q1) - commentaire
AA | Commentaire sur l'évaluation Q1 |
---|---|
I-TELE-045 | Examen : 90 % Laboratoires : 10% |
I-ILIA-032 | Présentation et remise du code d'un projet "Edge AI for Smart or Home Cities" |
I-ILIA-033 | Présentation orale du projet réalisé en équipes de 3 à 4 personnes. |
Evaluation de l'épreuve de rattrapage du quadrimestre 1 (Q1) pour B1BA - type
AA | Type(s) et mode(s) d'évaluation rattrapage Q1(BAB1) |
---|---|
I-TELE-045 |
|
I-ILIA-032 |
|
I-ILIA-033 |
|
Evaluation du quadrimestre 3 (Q3) - type
AA | Type(s) et mode(s) d'évaluation du Q3 |
---|---|
I-TELE-045 |
|
I-ILIA-032 |
|
I-ILIA-033 |
|
Evaluation du quadrimestre 3 (Q3) - commentaire
AA | Commentaire sur l'évaluation Q3 |
---|---|
I-TELE-045 | Examen : 100 % |
I-ILIA-032 | idem Q1 |
I-ILIA-033 | Présentation orale du projet réalisé en équipes de 3 à 4 personnes. |