700.461 (13S) Sensor Networks

Sommersemester 2013

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Erster Termin der LV
05.03.2013 13:00 - 17:00 , L4.1.03 PC-Lab
... keine weiteren Termine bekannt

Überblick

Lehrende/r
LV-Titel englisch
Sensor Networks
LV-Art
Kurs (prüfungsimmanente LV )
Semesterstunde/n
2.0
ECTS-Anrechungspunkte
3.0
Anmeldungen
10 Anzahl der tatsächlich angemeldeten Studierenden
Organisationseinheit
Unterrichtssprache
Deutsch
LV-Beginn
01.03.2013
eLearning
zum Moodle-Kurs

LV-Beschreibung

Lehrmethodik

Group Works, joint project planning and development

Inhalt/e

Modern offices are full of modern technology but still unaware of its users and their intentions as well as unable to adapt to current situations and actions of its users. The goal of this lab is to develop a smarter office space. Using different sensors like smart cameras, RFID readers or Kinects the office can be made aware of the persons present in the room and the activities they are performing. Based on this knowledge, the smart office can take actions to support the people in their work. Examples are displaying context-specific information (on the topic of the current discussion) on tablets, adapting the behaviour of mobile devices (e.g. auto-muting phones in meetings) or controlling ambient conditions like lighting. In this course, the students will work in groups in order to build a sense-process-act cycle of a Pervasive Computing system. Each group will have the chance to define its own area as well as its own subproject around this area (Depending on availability of hardware, subprojects might be assigned randomly by the teaching staff). The individual subprojects of all groups will be integrated into one large smart office system. Students are expected to work autonomously on their subprojects. Regular joint meetings ensure a targeted progress of all projects. A final integration will be performed at the end of the Semester.

Themen

  • Sensors and sensor networking
  • Context awareness
  • Self-adaptation / Self-organisation

Erwartete Vorkenntnisse keine Anmeldevoraussetzung

Good programming skills in Java, C# or C/C++

Prüfungsinformationen

Beurteilungskriterien/-maßstäbe

Project proposal, autonomous project work, presentations, final interview

Beurteilungsschema

Note/Grade Benotungsschema

Position im Curriculum

  • Masterstudium Information Technology (SKZ: 489, Version: 06W.3)
    • Fach: Technischer Schwerpunkt (Pervasive Computing) (Pflichtfach)
      • 1.4-1.5 Kurs oder Labor ( 4.0h KU / 6.0 ECTS)
        • 700.461 Sensor Networks (2.0h KU / 3.0 ECTS)

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Sommersemester 2019
  • 700.461 KS Sensor Networks (2.0h / 3.0ECTS)
Sommersemester 2018
  • 700.461 KS Sensor Networks (2.0h / 3.0ECTS)
Sommersemester 2017
  • 700.461 KS Sensor Networks (2.0h / 3.0ECTS)
Sommersemester 2016
  • 700.461 KS Sensor Networks (2.0h / 3.0ECTS)
Sommersemester 2014
  • 700.461 KU Sensor Networks (2.0h / 3.0ECTS)