700.461 (14S) Sensor Networks
Overview
- Lecturer
- Course title german Sensor Networks
- Type Course (continuous assessment course )
- Hours per Week 2.0
- ECTS credits 3.0
- Registrations 3
- Organisational unit
- Language of instruction Deutsch
- Course begins on 01.03.2014
Time and place
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Course Information
Intended learning outcomes
Introduction and discussion about the problem during the weekly meeting hours as well as presentation of the students solutions.Course content
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).
Topics
- Introduction to Oracle SunSpots
- Sensornetwork programming / Spontaneous networking
- Localization
- Identification
Keywords
sensor nodes // sensornetworks // oracle sunspotsTeaching objective
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.Prior knowledge expected
Programming in JAVALiterature
Java ist auch eine Insel; http://www.galileocomputing.de/openbook/javainsel7Examination information
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.
Examination topic(s)
Course material and own solutions of assigned tasks.Assessment criteria / Standards of assessment for examinations
Presentations, assignments and oral exam in the end of the semester; presentation of each student of about 10-15min.Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Master's degree programme Information Technology
(SKZ: 489, Version: 06W.3)
-
Subject: Major Field of Specialization (Pervasive Computing)
(Compulsory subject)
-
1.4-1.5 Exercises or Lab (
4.0h KU / 6.0 ECTS)
- 700.461 Sensor Networks (2.0h KU / 3.0 ECTS)
-
1.4-1.5 Exercises or Lab (
4.0h KU / 6.0 ECTS)
-
Subject: Major Field of Specialization (Pervasive Computing)
(Compulsory subject)
Equivalent courses for counting the examination attempts
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Sommersemester 2025
- 700.461 KS Sensor Networks (2.0h / 3.0ECTS)
-
Sommersemester 2024
- 700.461 KS Sensor Networks (2.0h / 3.0ECTS)
-
Sommersemester 2023
- 700.461 KS Sensor Networks (2.0h / 3.0ECTS)
-
Sommersemester 2022
- 700.461 KS Sensor Networks (2.0h / 3.0ECTS)
-
Sommersemester 2021
- 700.461 KS Sensor Networks (2.0h / 3.0ECTS)
-
Sommersemester 2020
- 700.461 KS Sensor Networks (2.0h / 3.0ECTS)
-
Sommersemester 2019
- 700.461 KS Sensor Networks (2.0h / 3.0ECTS)
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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)
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Sommersemester 2013
- 700.461 KU Sensor Networks (2.0h / 3.0ECTS)