Internet of Things (elective)
level of course unit
second cycle, Master
Learning 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
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
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
assessment methods and criteria
written exam
language of instruction
German
number of ECTS credits allocated
4
eLearning quota in percent
15
course-hours-per-week (chw)
2
planned learning activities and teaching methods
Lecture, individual work with software, group work, presentation and discussion of tasks
semester/trimester when the course unit is delivered
3
name of lecturer(s)
Prof. (FH) Dipl.-Ing. Thomas Schmiedinger, PhD
year of study
2. study year
recommended optional program components
not applicable
course unit code
WPF.3
type of course unit
integrated lecture
mode of delivery
Compulsory
work placement(s)
not applicable