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252-0312-00L 4 Credits BSC , DR , MSC , WBZ D-GESS , D-INFK , D-MATH , D-ITET
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Ubiquitous Computing

Lecturers & Examiners: Prof. em. Dr. Friedemann Mattern, Dr. Simon Mayer, Prof. Dr. Christian Holz
VVZ CR 4.1

Last Updated: 2026-02-05 15:42:01

Abstract

Unlike desktop computing, ubiquitous computing occurs anytime and everywhere, using any device, in any location, and in any format. Computers exist in different forms, from watches and phones to refrigerators or pairs of glasses.Main topics: Smart environments, IoT, mobiles & wearables, context & location, sensing & tracking, computer vision on embedded systems, health monitoring, fabrication.

Objective

Unlike desktop computing, ubiquitous computing occurs anytime and everywhere, using any device, in any location, and in any format. Computers exist in different forms, from watches and phones to refrigerators or pairs of glasses. Main topics: Smart environments, IoT, mobiles & wearables, context & location, sensing & tracking, computer vision on embedded systems, health monitoring, fabrication.

Resources

Lecture Notes

Copies of slides will be made available

Literature

Will be provided in the lecture. To put you in the mood: Mark Weiser: The Computer for the 21st Century. Scientific American, September 1991, pp. 94-104

Learning Materials (Links)

General Information

Language
English
Levels
BSC , DR , MSC , WBZ
Frequency
Yearly recurring

Examination

Type
end-of-semester examination
For a bonus towards the final grade, the course will contain two optional assignments that are based on the contents taught in class. In the first assignment, students will work on a dataset of physiological signals. In the second assignment, groups of students will come up with a short proposal of a ubiquitous sensing device that tackles a problem of their choosing.In each assignment, students can obtain a bonus of 0.125 for a total possible bonus of 0.25 at the end of the term. In the first assignment, the bonus will be allotted based on the prediction accuracy achieved by the solution in 4 possible steps. In the second assignment, the bonus will be awarded based on the completeness of the proposal, including specification, feasibility, physiological reasoning, and presentation, again in 4 possible steps.

Course Components

Type Title Time & Place Hours
lecture Ubiquitous Computing
  • Tue 10:15-12:00 (CAB G 51)
2 h weekly
independent project Ubiquitous Computing No time listed 1 h weekly

Offered In