PTI90090 – IoT Architecture and Visualisation

Module
IoT Architecture and Visualisation
IoT Architecture and Visualisation
Module number
PTI90090
Version: 2
Faculty
Physikalische Technik / Informatik
Level
Master
Duration
1 Semester
Semester
Winter semester
Module supervisor

Prof. Dr. Tina Geweniger
Tina.Geweniger(at)fh-zwickau.de

Prof. Dr. Frank Grimm
Frank.Grimm(at)fh-zwickau.de
Lecturer(s)

Prof. Dr. Tina Geweniger
Tina.Geweniger(at)fh-zwickau.de
Lecturer in: "IoT Architecture and Visualisation"

Prof. Dr. Frank Grimm
Frank.Grimm(at)fh-zwickau.de
Lecturer in: "IoT Architecture and Visualisation"
Course language(s)

English
in "IoT Architecture and Visualisation"
ECTS credits

5.00 credits

Workload

150 hours

Courses

2.00 SCH (2.00 SCH Lecture with integrated exercise / seminar-lecture)
Self-study time

120.00 hours
45.00 hours Vor-/Nachbereitung - IoT Architecture and Visualisation
75.00 hours Self-study - IoT Architecture and Visualisation
Pre-examination(s)

Attestation
in "IoT Architecture and Visualisation"
Examination(s)

alternative Prüfungsleistung - Beleg und Präsentation
Module examination | Weighting: 100% | wird in englischer Sprache abgenommen
in "IoT Architecture and Visualisation"
Media type
No information
Instruction content/structure

IoT Architectures

  • Fundamentals of systems and software architecture
  • Fundamentals of systems modelling
  • Selected IoT reference models and architectures
  • Example applications

Network topologies and protocols (e. g. NFC, WiFi, Bluetooth, LoRaWAN, ZigBee)

Data Exchange

  • Data Protocols (e. g. MQTT, RESTful API, CoAP, OPC-UA)
  • Principles of APIs

Visualization

  • Forms of visualization for IoT data (graphs, key figures, notifications)
  • Dashboards for special application scenarios
  • Case studies on IoT scenarios and graphical data analysis
Qualification objectives

Students know about architectural styles of software-intensive systems and related architectural patterns. They can analyze and evaluate a given architecture based on software quality aspects (ISO 25010). Students can analyse and design complex IoT setups. They know different data protocols and are able to configure the communication between devices. The students are familiar with various forms of visualization and can design dashboards for different purposes.
Special admission requirements

keine
Recommended prerequisites
No information
Continuation options
No information
Literature

keine
Notes
No information
Assignment to curriculum

075 Internet of Things and Smart Systems - Master 2022 Vollzeit

290 Studienangebot der Fakultät Physikalische Technik/Informatik (PTI) für Austauschstudierende für das Studienjahr 2023/2024 - Abschluss im Ausland 2023 Vollzeit

075 Internet of Things and Smart Systems - Master 2024 Vollzeit

075 Internet of Things and Smart Systems - Master 2023 Vollzeit

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