Internet of Things and Industrial Services (Masters, WS)

Course description

Dear Master students,

Are you ready to delve into the exciting world of the Industrial Internet of Things (IIoT) and its applications in the manufacturing industry? Look no further than the „Internet of Things and Industrial Service Systems“ seminar, offered by the Chair of Digital Industrial Service Systems this semester.

In this course, you will have the unique opportunity to work on a real-life case study that will challenge you to apply your knowledge and skills in a practical setting. You will learn how IoT technologies are revolutionizing the way manufacturers operate, enabling them to streamline their operations, improve efficiency, and enhance product quality.

Throughout the course, you will explore various IoT applications in the manufacturing domain, including smart sensors, predictive maintenance, and real-time monitoring. You will gain a deep understanding of how these technologies work, as well as their potential to transform the industries and the broader economy.

This seminar promises to be an exciting and engaging experience for all students interested in IIoT and the future of industrial service systems. Don’t miss this chance to enhance your skills, gain hands-on experience, and prepare yourself for a career in this field.

Enroll now and join us in exploring the fascinating world of the Industrial Internet of Things!

Topics for the coming term (Summer term 2025)

Using vehicle data for in-car applications

This seminar focuses on the use of vehicle data to develop data-driven in-car applications. Students will explore how to access and process data from various car systems, including diagnostics, sensors and communication networks, to enable intelligent, data-driven solutions. Emphasis will be placed on developing real-time AI applications that enhance user experience, vehicle safety, and functionality using machine learning algorithms, predictive analytics, and other AI techniques. Students will also work on projects that integrate vehicle data with AI models to create innovative solutions for the automotive industry. The seminar includes a site visit to Audi’s facilities, engaging guest lectures from industry experts, and a strong focus on practical, project-based learning.

Course link

Data analysis for industrial logistic systems

Are you interested in applying your data science skills to solve real-world challenges in airport logistics? In this seminar, held in cooperation with the Logistics Department of Munich Airport (MUC), we will analyze real-world industrial data from end devices provided by FAU to investigate operational issues such as lost packages, misrouted items, and incorrect position tracking.

You will work with event-based and sensor data from airport logistics processes and apply methods from data analysis, process mining, and anomaly detection to identify and understand system errors. The seminar offers hands-on experience with industry-relevant tools and a chance to bridge theory with practice.

Course link

Learning objectives and skills

Students learn about…

1. Know, understand, and differentiate between different perspectives on the Internet of Things
2. Know and understand the technical characteristics of the Internet of Things as well as analyse and create IoT architectures
3. Know and understand the business values of the Internet of Things; analyse and create business models for the Internet of Things
4. Know and understand the concept of „Smart Service Systems“; analyse existing Smart Service Systems in terms of their components and their importance for value creation.
5. Know and understand the concept of Industry 4.0 and Industrial IoT; analyse Industrial IoT architectures as well as business models (transfer)
6. Know, understand, analyse and utilise IoT platforms.