Internet of Things (elective)* (WP)*
Niveau
second cycle, Master
Learning outcomes of the courses/module
The participants:
• know basic IoT architectures
• know methods of data generation
• know basics of data transmission
• know options of data storage
• know forms of data visualization
• understand challenges of data security
• know basic IoT architectures
• know methods of data generation
• know basics of data transmission
• know options of data storage
• know forms of data visualization
• understand challenges of data security
Prerequisites for the course
none
Course content
• 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
• Procedure for implementing IOT systems
• Prototypical implementation of IOT systems
• Selection of sensors
• Collection, visualization and evaluation of data
• Implementation challenges
• Requirements for IOT systems
• IoT data transmission protocols
• Use of IoT in an industrial context (examples)
• Basics of sensor technology
• Basics of embedded systems
• Procedure for implementing IOT systems
• Prototypical implementation of IOT systems
• Selection of sensors
• Collection, visualization and evaluation of data
• Implementation challenges
Recommended specialist literature
• 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
English
Number of ECTS credits awarded
4
Semester hours per week
Planned teaching and learning method
Lecture, individual work with software, group work, presentation and discussion of tasks
Semester/trimester in which the course/module is offered
3