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Internet of Things (elective)*
level of course unit
Master`s courseLearning outcomes of course unit
The graduate, the student:
* Knows basic IOT architectures
* Knows methods of data generation
* Knows basics of data transmission
* Knows options of data storage
* Knows forms of data visualization
* Understands challenges of data security
* Knows basic IOT architectures
* Knows methods of data generation
* Knows basics of data transmission
* Knows options of data storage
* Knows forms of data visualization
* Understands challenges of data security
prerequisites and co-requisites
none
course contents
Introduction
* IoT architecture (e.g. reference models)
* Requirements for IOT systems
* IOT data transmission protocols
* Use of IOT in an industrial context (examples)
* Basics of sensor technology
* Basics of embedded systems
Implementation
* Procedure for implementing IOT
* Prototypical implementation of IOT
* Selection of sensors
* Collection, visualization and evaluation of data
* Implementation challenges
* IoT architecture (e.g. reference models)
* Requirements for IOT systems
* IOT data transmission protocols
* Use of IOT in an industrial context (examples)
* Basics of sensor technology
* Basics of embedded systems
Implementation
* Procedure for implementing IOT
* Prototypical implementation of IOT
* Selection of sensors
* Collection, visualization and evaluation of data
* Implementation challenges
recommended or required reading
Perry L.; Internet of Things for Architects: Architecting IoT solutions by implementing sensors, communication infrastructure, edge computing, analytics, and security; Birmingham; 2018
Sinclair B.; IoT Inc: How Your Company Can Use the Internet of Things to Win in the Outcome Economy; 2017
Thomas O., Nüttgens M., Fellmann M. (Herausgeber); Smart Service Engineering: Konzepte und Anwendungsszenarien für die digitale Transformation; Wiesbaden; 2017
Sinclair B.; IoT Inc: How Your Company Can Use the Internet of Things to Win in the Outcome Economy; 2017
Thomas O., Nüttgens M., Fellmann M. (Herausgeber); Smart Service Engineering: Konzepte und Anwendungsszenarien für die digitale Transformation; Wiesbaden; 2017
assessment methods and criteria
Written exam
language of instruction
Germannumber of ECTS credits allocated
4eLearning quota in percent
15course-hours-per-week (chw)
2planned learning activities and teaching methods
Lecture, individual work with software, group work, presentation and discussion of tasks
