Pervasive Computing

Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

We expect that by the end of this course, students will be able to:
• Design a realistic smart system with the potential to benefit human
lives. The system acquires and processes data from video, audio,
acceleration, or EEG sensors and uses pattern recognition to take
decisions that affect the environment accordingly.
• Build a simplified version of the real system and program a software
agent to control it.
• Work together in a team, collaboratively identifying not only the
technical but also the safety or ethical issues with their designs, and
then sharing
their challenges and discoveries through reports, presentations, and

Inhoud vak

Pervasive (or ubiquitous) computing is a trend based on the Mark
Weiser's vision of computers available "always and everywhere", embedded
in everyday life. This course is an introduction to pervasive computing
systems that assist people in their daily life. Think about a
fall-detection system, a self-driving car, a brain-controlled wheelchair
or a navigation system for a blind pedestrian. These systems:
1. sense the context (time, user's location, emotions, acceleration,
environment, etc)
2. recognize patterns, reason and take intelligent decisions
3. act upon the environment, by controlling the wheels, suggesting the
best route, or just notifying a caretaker.
The main components of such a system are: sensors, controllers and
actuators. In this course the students will learn different techniques
to acquire signals from the environment, to process these raw signals in
order to infer context by using machine learning, and to write software
agents for control. During the practical lab the students will
experiment with these techniques and build their own smart system using
robotic kits such as Lego Mindstorms ev3, controlled by MATLAB. Guest
lectures given by researchers working in relevant fields are planned as


Lectures, practical lab sessions and mini-project


Compulsory lab assignments and written exam. The final grade is
calculated as: FINAL GRADE = 0,5*PRAC + 0,5 * EXAM. A pass requires both
components to be >=5.5. It is possible to resit the exam, but not the


Silvis-Cividjian, N. (2017), Pervasive Computing - Engineering Smart
Systems, Springer International Publishing, ISBN 978-3-319-51654-7


This module is only for students LI and IMM.

Overige informatie

This course is taught in English.

Algemene informatie

Vakcode X_400552
Studiepunten 6 EC
Periode P4
Vakniveau 100
Onderwijstaal Engels
Faculteit Faculteit der Bètawetenschappen
Vakcoördinator dr. N. Silvis-Cividjian
Examinator dr. N. Silvis-Cividjian
Docenten dr. N. Silvis-Cividjian

Praktische informatie

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Werkvormen Werkcollege, Hoorcollege, Practicum