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Université de Bordeaux
 

Timetable & learning outcomes

Throughout this summer school, renowned and dynamic speakers will share their insight on the latest advances and applications of the Internet of Things technology as a driver for innovative digital infrastructures.

Mornings will be dedicated to theoretical sessions that include an introduction and applied lecture on each of the following topics:

› Radio communications
› Communication techniques
› Data processing
› Machine learning
› Deep learning

During these presentations, various methodologies adapted to each stage of project development will also be presented, thus supplementing the practical sessions taking place each afternoon.

These practical sessions will start with an introduction to the technology that will then be implemented during the hands-on workshops. Participants will work in groups with complementary skillsets and will be assisted by tutors in the development of a connected object. Each group will imagine and design an object and will programme an Arduino, connect it to the Cloud, design the 3D object and deploy it in order to process its data.

Tentative programme

Please note: the schedule is presented in Central European Summer Time (CEST).

Monday

September 18th

Tuesday

September 19th

Wednesday

September 20th

Thursday

September 21st

Friday

September 22nd


09.00 – 10.00

Participant arrival

09.00 – 10.30

Lecture
How to choose a communication technique?



09.00 - 10.30

Lecture
Internet of Things and big data



09.00 – 10.30

Lecture
From embedded devices to the cloud: choosing the right Internet of Things technologies

  

09.00 – 10.30 

Lecture
Learning and deep learning



10.00 – 10.30

Welcome and introduction

Guillaume Ferré  

10.30 – 11.00

Coffee break

10.30 – 11.00

Coffee break

10.30 – 11.00

Coffee break

10.30 – 11.00

Coffee break

10.30 – 11.00

Coffee break

11.00 – 12.00

Lecture
Introduction to radio communications


11.00 – 12.00 

Lecture
Internet of things using LEO satellites



11.00 – 12.00 

Lecture
Cybersecurity for the Internet of Things 



11.00 – 12.00

Lecture
Learning in the Internet of Things framework



11.00 – 12.00

Lecture
Deep learning for big data in the Internet of Things



12.00 – 13.30

Lunch

12.00 – 13.30

Lunch

12.00 – 13.30

Lunch

12.00 – 13.30

Lunch

12.00 – 13.30

Lunch

13.30 – 15.00

Tutorial
Introduction to programming on Arduino - what is an Arduino?



13.30 – 15.00

Tutorial
From object to cloud: establishing communication, data framing and display



13.30 – 15.00

Tutorial
Outliers processing



13.30 – 15.00

Tutorial
From rapid prototyping to maker culture



13.30 – 15.00

Tutorial
From raw data to learning and deep learning



15.00 – 15.15

Coffee break

15.00 – 15.15

Coffee break

15.00 – 15.15

Coffee break

15.00 – 15.15

Coffee break

15.00 – 15.15

Coffee break

15.15 – 17.00

Tutored workshop
Arduino programming




15.15 – 17.00

Tutored workshop 
Establishing communication, data framing and display



15.15 – 17.00

Tutored workshop 
Outliers processing


 
 

15.15 – 17.00

Tutored workshop 
Design a connected device based on 3D printing



15.15 – 17.00

Tutored workshop
From raw data to learning and deep learning



17.00 – 18.00

Lecture

Challenges in the design of integrated systems for Internet of Things



17.00 – 18.00

Lecture
The grey side of the Internet of Things - a journey around the environmental impacts of Internet of Things devices and integrated circuits



17.00 – 18.00

Lecture
Energy harvesting



17.00 – 18.00

Lecture 
Connected and cooperative ITS





18.00 – 21.00

Welcome event

18.00 – 21.00

Dinner


Expertise upon completion

The summer school offers a unique opportunity to develop strong knowledge of the Internet of things within a programme covering the principles of digital radio communications; programming techniques on an Arduino type microcontroller; LPWAN (Low Power Wide Area Network) communication technologies; 3D printing and laser cutting; big data, learning and deep learning.

A certificate of participation will be awarded to students upon completion of the course.

                                                    
Programme may be subject to change.


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