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.