IoT Design
- Faculty
Faculty of Engineering and Computer Science
- Version
Version 1 of 21.10.2025.
- Module identifier
11B2050
- Module level
Bachelor
- Language of instruction
German
- ECTS credit points and grading
5.0
- Module frequency
only summer term
- Duration
1 semester
- Brief description
The Internet of Things (IoT) connects physical world devices with the virtual world in the cloud, providing intelligent services for individuals, society, and industry. IoT forms the foundation for Smart Home, Smart Cities, environmental monitoring, smart energy grids, Industry 4.0, and many cyber-physical services. It underpins sustainable energy supply, eco-friendly agriculture, and responsible management of limited resources. This involves selecting appropriate sensors, actuators, and IoT platforms, connecting them, and analyzing their data to deliver valuable IoT services.
- Teaching and learning outcomes
1. Interaction With the Physical World (Sensors, Actuators, Measurement Technology, etc.)
2. IoT Platforms
3. IoT Wireless Technologies
4. IoT Networks
5. IoT Data Processing
6. IoT Data Analysis
7. IoT Lifecycle Management
8. IoT Applications
- Overall workload
The total workload for the module is 150 hours (see also "ECTS credit points and grading").
- Teaching and learning methods
Lecturer based learning Workload hours Type of teaching Media implementation Concretization 45 Lecture Presence - 15 Laboratory activity Presence - Lecturer independent learning Workload hours Type of teaching Media implementation Concretization 30 Preparation/follow-up for course work - 60 Creation of examinations -
- Graded examination
- oral exam or
- Project Report, written
- Ungraded exam
- Field work / Experimental work
- Recommended prior knowledge
none
- Knowledge Broadening
Students are familiar with and understand the fundamental methods for developing components and systems in the Internet of Things. They are able to articulate the key characteristics of various approaches.
- Knowledge deepening
Students possess a critical understanding of the core theories and methodologies of the Internet of Things. They can apply contextually appropriate platforms, sensors, actuators, wireless and networking technologies, as well as data processing and analytical methods, and integrate them into efficient systems.
- Knowledge Understanding
Students are capable of analyzing complex problems and designing suitable IoT solutions. They examine factors such as memory, computational time, energy consumption, and connectivity, and incorporate these considerations into the implementation of problem-solving strategies.
- Application and Transfer
Students utilize specialized development tools for data acquisition in sensor nodes and their subsequent processing in distributed IoT systems. They are able to apply their knowledge to solve application-oriented IoT projects.
- Academic Innovation
Students learn to create application-specific requirement catalogs, based on which they design, specify, and subsequently implement an IoT system. They document and present their findings, thus experiencing all project phases in the context of an application-oriented IoT task.
- Communication and Cooperation
The development of solutions and the presentation of results are conducted through presentations, thereby enhancing the ability to articulate the essence of a topic clearly and engage the audience effectively. This process fosters the skill of presenting complex ideas in a comprehensible and appealing manner.
- Academic Self-Conception / Professionalism
Students are able to reflect on future challenges of the Internet of Things within diverse technical, economic, and ecological contexts.
- Literature
A.S. Tanenbaum, D.J. Wetherall: Computernetzwerke, Pearson Studium, München, 2012.
Karl, H.: Protocols and Architectures for Wireless Sensor Systems, Wiley 2005
Bahga, A., Madisetti, V. : Internet of Things: A Hands-on Approach, VPT, 2014
Buyya, R.; Dastjerdi, A. V. (Editors):Internet of Things - Principles and Paradigms, Morgan Kaufmann, 2016
- Applicability in study programs
- Electrical Engineering in Practical Networks (dual)
- Electrical Engineering in Practical Networks (dual) B.Sc. (01.03.2026)
- Electrical Engineering
- Electrical Engineering B.Sc. (01.09.2025)
- Person responsible for the module
- T?njes, Ralf
- Teachers
- Roer, Peter
- T?njes, Ralf