700.401 (13W) Pervasive Computing Lab

Wintersemester 2013/14

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Erster Termin der LV
03.10.2013 08:30 - 10:00 L4.1.03 PC-Lab Off Campus
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Überblick

Lehrende/r
LV-Titel englisch Pervasive Computing Lab
LV-Art Kurs (prüfungsimmanente LV )
Semesterstunde/n 2.0
ECTS-Anrechnungspunkte 3.0
Anmeldungen 8 (14 max.)
Organisationseinheit
Unterrichtssprache Englisch
LV-Beginn 01.10.2013

Zeit und Ort

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LV-Beschreibung

Lehrmethodik inkl. Einsatz von eLearning-Tools

Group Works, joint project planning and development

Inhalt/e

Future (and in part today's) living and working environments 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 projects for smarter environments. Using different sensors like smart cameras, RFID readers or Kinects, a room can be made aware of the persons present as well as of the activities they are performing. Based on this knowledge, the smart environment can take actions to support the people in their work or life. 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
  • Smart Environments

Lehrziel

Learn the application of Pervasive Computing principles in hands-on projects

Erwartete Vorkenntnisse

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

Prüfungsinformationen

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Beurteilungskriterien/-maßstäbe

Project proposal, autonomous project work, presentations, final interview

Beurteilungsschema

Note 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)
        • 700.401 Pervasive Computing Lab (2.0h KU / 3.0 ECTS)
  • Masterstudium Information Technology (SKZ: 489, Version: 06W.3)
    • Fach: Technische Ergänzung II (Pflichtfach)
      • 3.4-3.5 Kurs oder Labor ( 4.0h KU / 6.0 ECTS)
        • 700.401 Pervasive Computing Lab (2.0h KU / 3.0 ECTS)

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Wintersemester 2022/23
  • 700.401 KS Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2021/22
  • 700.401 KS Pervasive Computing Lab (2.0h / 3.0ECTS)
Sommersemester 2021
  • 700.401 KS Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2019/20
  • 700.401 KS Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2018/19
  • 700.401 KS Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2017/18
  • 700.401 KS Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2016/17
  • 700.401 KS Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2014/15
  • 700.401 KU Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2012/13
  • 700.401 KU Pervasive Computing Lab (2.0h / 3.0ECTS)