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This entry is from Winter semester 2018/19 and might be obsolete. You can find a current equivalent here.

CS 577 — Fundamental IoT Sensor Technologies To Measure Physical And Non-physical Parameters
(dt. Fundamentale Technologien zur IoT-Datengenerierung von physikalischen und nichtphysikalischen Größen - IoT Sensorik)

Level, degree of commitment Advanced module, depends on importing study program
Forms of teaching and learning,
workload		 Lecture (2 SWS), recitation class (2 SWS),
180 hours (60 h attendance, 120 h private study)
Credit points,
formal requirements		 6 CP
Two examinations: term paper (3 CP) and presentation (3 CP)
Language,
Grading		 German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Business Informatics.
Subject, Origin Computer Science, B.Sc. Business Informatics
Duration,
frequency		 One semester,
Im Wechsel mit anderen advanced moduleen zur Business Informatics
Person in charge of the module's outline Prof. Dr. Martin Przewloka, Prof. Dr. Bernhard Seeger

Contents

  • Current status of IoT (Internet of Things) applications in selected industries
  • IoT platforms and sensor networks
  • Simple, complex and highly complex measurement methods for physical quantities
  • Use cases and applications
  • Challenges of real-time measurements
  • Decentralized vs. central measurement data processing
  • Software-supported interference avoidance and calibration procedures
  • Market overview
  • Current research fields of sensor development
  • Measurement methods in physiology, psychology, biology and industry applications
  • Theoretical and practical exercises based on concrete tasks
  • Solution of complex measurement problems from industry and their technical and economic evaluation
  • Cost-benefit analysis of IoT sensors

Qualification Goals

The students develop a comprehensive understanding of technology for IoT data generation and their applications.


Prerequisites

Translation is missing. Here is the German original:

Keine. Empfohlen werden grundlegende Kenntnisse der Physik sowie mathematische und betriebswirtschaftliche Basiskompetenzen.


Recommended Reading

  • Aktuelle und spezifische Literaturquellen werden im Rahmen des Moduls bereitgestellt.
  • Allgemeine Quellen:
  • Thomas Mühl: Einführung in die elektrische Messtechnik: Grundlagen, Messverfahren, Anwendungen 4. Auflage (2014)
  • Brian R. Eggins: Chemical Sensors And Biosensors (Analytical Techniques in the Sciences) (Englisch) (2009)



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2018/19. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.