13D041MNS - Networked embedded systems

Course specification
Course title Networked embedded systems
Acronym 13D041MNS
Study programme Electrical Engineering and Computing
Type of study doctoral studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 9.0 Status elective
      Condition Finished undergraduate and master degree studies in electrical engineering
      The goal The aim of the course is to provide the theoretical background and the basic methodologies and concepts for developing networked embedded systems and applications. This course enables students to design and implement applications, based on networked embedded devices, in several application domains.
      The outcome The acquired knowledge is applicable in the area of the networked embedded systems design for different networking, control and measurement applications.
      Contents of lectures The fundamental concepts and applications associated with networked embedded systems as a part of cyber-physical systems. Resource-oriented and service-oriented networking architectures and design styles applicable in large-scale network. Hardware requirements of different wired and wireless embedded networking platforms. Utilization of fog and cloud computing in IoT.
      Contents of exercises The data communication models and middleware implementations suitable for the integration of constrained end-devices in IoT. Challenges and concepts for embedded hardware and software protection and security. The aspects of the networked embedded systems design applicable in smart cities, intelligent transportation systems, home and building automation, smart metering, etc.
      1. R. Zurawski, Embedded Systems Handbook, Second Edition: Networked Embedded Systems, CRC Press, 2009. (Original title)
      2. D. Chen, M. Nixon, A. Mok, Wireless Hart – Real-Time Mesh Network for Industrial Automation, Springer 2010. (Original title)
      3. K.F. James, R.W. Keith, Computer networking : a top-down approach, Boston, Mass.: Pearson, cop. 2010. (Original title)
      4. G. C. Buttazzo, Hard Real-Time Computing Systems, Springer, 2011. (Original title)
      5. A. Gupta, A. K. Chandra, P. Luksch, Real-Time and Distributed Real-Time Systems: Theory and Applications, CRC Press, 2016. (Original title)
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      Methods of teaching Lectures, practical laboratory and mentored individual work on projects.
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures Test paper
      Practical lessons Oral examination 50
      Projects 50