Internet of Things (IoT)

11M0706

Master

German

5.0

only summer term

1 semester

Based on methods for developing distributed applications already covered in the bachelor's programme, the special features of the architectures and systems of the Internet of Things will be highlighted. Students should be able to meet the rapidly growing demand for expertise in the field of the Internet of Things with competence and technical depth.

1. IoT concepts
2. Interaction with the real world
3. IoT radio technologies and performance evaluation
4. IoT network design
5. IoT security
6. IoT software architectures from an intranet, edge and cloud perspective
7. IoT data types, components and methods for data collection and processing
8. High-level data management, data analysis
9. Applications (including Industry 4.0)
10. Further aspects

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

• Project Report, written

• Field work / Experimental work

Project report, written: approx. 10–15 pages, accompanying explanation: approx. 15 minutes

Experimental work: Experiment: approx. 6 experiments in total

Students know and understand architectures and heterogeneous systems of the Internet of Things. They can describe the essential characteristics of different architectures.

Important aspects of the Internet of Things, such as platforms, networking, security, and data collection and analysis, are understood in terms of their structure and function. Constraints such as storage, computing time, energy, and networking are analysed and incorporated into the implementation of the solution. Typical integration issues are dealt with correctly.

Skills – instrumental competence
Students are able to view systems for the Internet of Things as an extension of distributed applications and implement synchronous and asynchronous data processing. When connecting to networks, they take into account the limited characteristics of wireless networks and learn how to use technologies for seamless transition between different networks. They use special development tools for data acquisition in sensor nodes and their further processing in distributed systems.

Skills – communication skills
Students understand how to identify the requirements for components and systems of the Internet of Things in terms of system design, software development and other constraints, and how to derive the right solution strategy for the application. They understand how to tailor the possible applications to the task at hand and the software and hardware used. They can communicate solutions and results in the form of presentations. In doing so, they understand how to highlight the essentials of a topic in front of an audience and present it in a transparent and appealing manner.

Skills – systemic competence
Students can develop heterogeneous components and systems for the Internet of Things, from requirements analysis to system integration, taking into account technical limitations and different options for data exchange and integration with existing infrastructures.

• Westerkamp, Clemens

• Tönjes, Ralf
• Westerkamp, Clemens