Internet of Things (elective)
Niveau
master’s degree program
Learning outcomes of the courses/module
The participants:
• are familiar with fundamental IoT architectures
• are familiar with methods of data generation
• are familiar with the fundamentals of data transmission
• are familiar with options for data storage
• are familiar with forms of data visualization
• understand challenges related to data security
• are familiar with fundamental IoT architectures
• are familiar with methods of data generation
• are familiar with the fundamentals of data transmission
• are familiar with options for data storage
• are familiar with forms of data visualization
• understand challenges related to 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 industrial contexts (examples)
- Fundamentals of sensor technology
- Fundamentals of embedded systems
Implementation
- Approaches to IoT implementation
- Prototypical 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 industrial contexts (examples)
- Fundamentals of sensor technology
- Fundamentals of embedded systems
Implementation
- Approaches to IoT implementation
- Prototypical 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
Written exam or seminar thesis
Language
English
Number of ECTS credits awarded
4
Semester hours per week
Planned teaching and learning method
Lecture, individual software-based work, group work, presentation, and discussion of assignments
Semester/trimester in which the course/module is offered
3