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.