- Professor: Babak Falsafi
- Professor: Bryan Alexander Ford
- Professor: Jean-Pierre Hubaux
- Professor: Kevin Huguenin
- Professor: Martin Jaggi
- Professor: Philippe Oechslin
- Professor: Carmela Troncoso
- Professor: Serge Vaudenay
- Teacher: Antoine Dao
- Teacher: Margaret Escandari
- Teacher: Anne-Marie Tassi
- Professor: Cécile Hardebolle
- Professor: Ingrid Le Duc
- Professor: Roland Tormey
- Professor: Rémy Glardon
Technological advances in miniaturized, ultra-low power embedded systems, in communication protocols and in data mining techniques are leading to disruptive innovations. Smart cities, eHealth or Industry 4.0 – Internet of Things (IoT) environments have already started to deeply modify established industries. Nowadays, every organization should seriously think about how to embrace the opportunities and challenges offered by smart connected technologies.
This 3-day course will cover three main themes : Smart platforms for IoT (hardware designs, power/energy requirements), Communication for IoT (protocols, networks, latest standards) and IoT applications (examples of wearable IoT devices, practical case studies with data fusion and data mining exercises).
- Professor: David Atienza Alonso
- Professor: Andreas Peter Burg
- Teacher: Elisabetta De Giovanni
- Teacher: Miguel Peon Quiros
- Teacher: Grégoire Surrel
- Teacher: Marina Zapater Sancho
This course is a rough introduction to MATLAB and Octave for engineers.
You are invited to follow the MOOC course on edX. If you prefer not to, the material in this Moodle should allow you to do your first steps alone.- Professor: Simone Deparis
- Professor: Camille Freyssenet
- Professor: Kirstin Friedrich
UAV For Precise Mapping
This course focuses on the theoretical and practical
aspects of precise mapping with Micro Aerial Vehicles (MAV). In the first part
of the course the students will learn the concepts of dynamical modelling,
control, navigation and guidance of a small aircraft. They will acquire also
the theoretical and practical skills of mission planning and execution. The
accent of the second part of the course is in the mapping from (close) aerial
photography with and/or without the support of navigation data. The theoretical
concepts of sensor orientations are explained with particularities of
consumer-market optical sensors and exercised practically on the imagery taken
by MAV during the first week. The students will then acquire the concepts of
post-processing navigation data for the trajectory recovery at camera events
and their insertion into integrated sensor orientation, benefit of which are
also exercised practically for the resulting mapping product. The final
objective is to gain sound understanding of mitigation of errors due to
imperfect spatial-temporal stability of UAV navigation/optical payload through
advanced modelling.
- Professor: Jan Skaloud