Module CS5163-KP04
Internet of Things (IoT)
Duration
1 Semester
Turnus of offer
each summer semester
Credit points
4
Course of studies, specific fields and terms:
- Master Medical Informatics 2019, optional subject, ehealth / infomatics
- Master Media Informatics 2020, optional subject, computer science
Classes and lectures:
- Internet of Things (exercise, 1 SWS)
- Internet of Things (lecture, 2 SWS)
Workload:
- 45 hours in-classroom work
- 60 hours private studies
- 15 hours exam preparation
Contents of teaching:
- Introduction and basics of the Internet of Things (IoT)
- Components of the IoT: sensors, actuators, gateways and networks
- IoT architectures: cloud-centric, edge computing and fog computing
- Communication protocols in IoT: MQTT, CoAP, HTTP
- Network technologies for IoT: LoRaWAN, ZigBee, Bluetooth, 6LoWPAN
- Security and data protection concepts in IoT
- IoT data management: data collection, storage and analysis
- Use of Edge AI and Machine Learning in IoT
- IoT use cases: Smart Cities, Industry 4.0, Healthcare, Logistics
- Challenges and Future Trends in IoT
Qualification-goals/Competencies:
- Students can explain basic concepts and architectures of the Internet of Things.
- They can analyze the requirements and challenges in the development of IoT systems.
- They can explain and evaluate the most important communication protocols and network solutions for IoT applications.
- They can explain technological as well as societal developments that have led to massive changes in the Internet's infrastructure (growth, innovations, mobile communications, )
- They can explain the importance of data protection and security in the IoT and can implement appropriate measures.
- They can design, implement and test basic IoT applications.
- They can efficiently collect, analyze and interpret data from IoT systems.
- They can recognize the potential of Edge AI and machine learning for optimizing IoT systems.
- They can deal with real-world use cases and be able to develop solutions for specific industries.
- They recognize the current trends and future developments in the IoT area and can evaluate them critically.
Grading through:
- Written or oral exam as announced by the examiner
Responsible for this module:
Teacher:
Literature:
- Olivier Hersent, David Boswarthick, Omar Elloumi : The Internet of Things: Key Applications and Protocols Wiley, 2012
Language:
- German and English skills required
Notes:
Replaces CS5158 Advanced Internet Technologies.Admission requirements for taking the module:
- None
Admission requirements for participation in module examination(s):
- None
Module Examination(s):
- CS5163-L1: Internet of Things, oral examination, 100% of module mark.
(Is also part of CS4518-KP12)
replaces CS5158 Advanced Internet Technologies
Last Updated:
01.10.2025