700.461 (14S) Sensor Networks

Sommersemester 2014

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Erster Termin der LV
04.03.2014 13:00 - 17:00 , L4.1.03 PC-Lab
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Überblick

Lehrende/r
LV-Titel englisch
Sensor Networks
LV-Art
Kurs (prüfungsimmanente LV )
Semesterstunde/n
2.0
ECTS-Anrechungspunkte
3.0
Anmeldungen
3
Organisationseinheit
Unterrichtssprache
Deutsch
LV-Beginn
01.03.2014
eLearning
zum Moodle-Kurs

LV-Beschreibung

Intendierte Lernergebnisse

Introduction and discussion about the problem during the weekly meeting hours as well as presentation of the students solutions.

Inhalt/e

This course is complimentary to Pervasive Computing VO and will give an introduction on programming sensor nodes and sensornetworks. For this course, oracle sunspots will be used for demonstration and programming purposes. In multiple sessions, the students will learn to use different sensors from the sunspot and how to facilitate them to tackle different problem areas. 

This course is a mix of lab and presentations in which students prepare and program their own solutions and present their solution to the class. 

The course will be held blocked on certain dates. There will be a kick-off before every assignment to discuss the problem. The solution is prepared in small groups autonomously (no fixed lab sessions).

Themen

  • Introduction to Oracle SunSpots
  • Sensornetwork programming / Spontaneous networking
  • Localization
  • Identification

Schlagworte

sensor nodes // sensornetworks // oracle sunspots

Lehrziel

Students will learn how to program their own sensornodes as well as entire networks of sensornodes for a specific purpose. They will employ different sensor on a sensor node to implement a building monitoring system.

Erwartete Vorkenntnisse keine Anmeldevoraussetzung

Programming in JAVA

Literatur

Java ist auch eine Insel; http://www.galileocomputing.de/openbook/javainsel7

Prüfungsinformationen

Prüfungsinhalt/e

Course material and own solutions of assigned tasks.

Beurteilungskriterien/-maßstäbe

Presentations, assignments and oral exam in the end of the semester; presentation of each student of about 10-15min.

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 2013
  • 700.461 KU Sensor Networks (2.0h / 3.0ECTS)