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This entry is from Winter semester 2021/22 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, compulsory elective module |
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 Course requirement(s): Examination type: 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. |
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
None. None. Basic knowledge of physics as well as basic mathematical and business skills are recommended.
Applicability
Module imported from B.Sc. Business Informatics.
It can be attended at FB12 in study program(s)
- B.Sc. Data Science
- B.Sc. Computer Science
- B.Sc. Business Informatics
- M.Sc. Data Science
- M.Sc. Computer Science
- M.Sc. Business Informatics
When studying B.Sc. Computer Science, this module can be attended in the study area Compulsory Elective Modules in Computer Science.
The module is assigned to Practical Computer Science. Further information on eligibility can be found in the description of the study area.
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 2021/22. 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:
- Winter 2016/17 (no corresponding element)
- Summer 2018
- Winter 2018/19
- Winter 2019/20
- Winter 2020/21
- Summer 2021
- Winter 2021/22
- Winter 2022/23
- Winter 2023/24
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.