13M051IoT - IoT Systems

Course specification
Course title IoT Systems
Acronym 13M051IoT
Study programme Electrical Engineering and Computing
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition none
    The goal Introduce students to principles, technological basics, available methods of integration and implementation domains of IoT system.
    The outcome Students gain insight into the problem of design and implementation of the IoT systems. They are able to choose an appropriate approach in problem analysis and system design, to define: the system functionality, integration model, to delegate functionalities on the distributed hardware/software modules, as well as to implement functionalities either at the concept level or directly.
    Contents of lectures Integration of control, digital systems, communications and computing. Network-enabled embedded hardware platforms. Architecture and standards of the IoT system; cloud and fog model, design styles for large-scale networks, resource and service oriented architectures, application protocols, security. Applications in industrial control, smart homes and cities, smart grid, precision agriculture, etc.
    Contents of exercises Demonstration and implementation of the existing technological solutions for the implementation of the IoT systems: embedded and general-purpose hardware platforms, development environments, network and application connectivity, various models for integration in application development.
    1. S.Cirani, G.Ferrari, M.Picone, L.Veltri, Internet of Things: Architectures, Protocols and Standards. UK: John Wiley & Sons, 2018. (Original title)
    2. A. Bahga, V. Madisetti, Internet of Things: A hands-on Approach. Madisetti, 2014. (Original title)
    3. O. Hersent, D. Boswarthick, O. Elloumi, The Internet of Things: Key Applications and Protocols. John Wiley & Sons, 2012. (Original title)
    4. T. Chou, Precision: Principles, Practices and Solutions for the Internet of Things. CrowdStory Publishing, 2016. (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1
    Methods of teaching Lectures and exercises. Students are obliged to solve and defend the individually assigned project, which earns them the exam points.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures Test paper 30
    Practical lessons Oral examination
    Projects 55
    Colloquia 15