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    Internet of Things and Industrial Services (Masters, WS)

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    Internet of Things and Industrial Services (Masters, WS)

    Weixin Wang

    Weixin Wang, M. Sc., M. Sc.

    Fürther Straße 248
    90429 Nürnberg
    Deutschland
    • Email: weixin.w.wang@fau.de

    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 collaborate with a boutique consulting company and 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!

    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.

    Learning activities

    • Lectures
    • Self-study and group discussion of literature
    • Application of software
    • Mid-term and final presentation
    • Group assignment

    Over 12 units, a combination of lecture-mode instruction, case and literature discussion, guest presentations, self-study, application of software and project work will be used to enable students to identify and describe characteristics, analyse, and apply technical, economic, theorical and practical principles of the (industrial) internet of things.

    Students are expected to take active part in the seminar sessions and discussions, to capture the most current trends and developments in the area. There is a mandatory group assignment (presentation in class) which involves the application of concepts, models, and principles of the Internet of Things. The group assignment serves as the exam for this course.

    Method of examination

    • Oral presentation
    • Seminar paper / essay

    Module Compatibility

    • Master International Information Systems (from 2018/19 + 2016/17): Module in the section ‘Seminar International Information Systems’
    • Master FACT (Vertiefungsbereich, Modulgruppe ‘Interdisziplinäre Module’)
    • Master WING (wirtschaftswissenschaftliche Modulgruppe M7)
    • Master International Production Engineering and Management (International Elective Modules M6)

    Course Organisation

    • Term: WS and SS
    • Registration: StudOn
    Registration
    FAU Erlangen-Nürnberg
    Chair of Digital Industrial Service Systems

    Fürther Str. 248
    90429 Nürnberg
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