Internet of Things (E) (WP)*
Niveau
Master's program
Learning outcomes of the courses/module
The participants:
• know basic IoT architectures
• know methods of data generation
• know the fundamentals of data transmission
• know options for data storage
• know forms of data visualization
• understand the challenges of data security
• know basic IoT architectures
• know methods of data generation
• know the fundamentals of data transmission
• know options for data storage
• know forms of data visualization
• understand the challenges of data security
Prerequisites for the course
none
Course content
Introduction
- IoT architecture (e.g. reference models)
- Requirements for IoT systems
- IoT data transmission protocols
- Use of IoT in an industrial context (examples)
- Fundamentals of sensor technology
- Fundamentals of embedded systems
Implementation
- Approach to implementing IoT
- Prototype implementation of IoT
- Selection of sensors
- Collection, visualization and analysis of data
- Challenges in implementation
- IoT architecture (e.g. reference models)
- Requirements for IoT systems
- IoT data transmission protocols
- Use of IoT in an industrial context (examples)
- Fundamentals of sensor technology
- Fundamentals of embedded systems
Implementation
- Approach to implementing IoT
- Prototype implementation of IoT
- Selection of sensors
- Collection, visualization and analysis of data
- Challenges in implementation
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
Seminar paper
Written exam
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 assignments
Semester/trimester in which the course/module is offered
3