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19D041PIP - Smart Sensors Design and Application

Course specification
Course title Smart Sensors Design and Application
Acronym 19D041PIP
Study programme Electrical Engineering and Computing
Module Electronics and Digital Systems
Type of study doctoral studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 9.0 Status elective
      Condition Master degree studies of electrical engineering
      The goal The objective of the course is to provide students the in-depth knowledge related to the design and development of smart sensors applicable in different sensing applications. The student will gather the knowledge related to the smart sensor embedded hardware and software design according to different implementation concepts, including the one defined with IEEE 1451 family of standards.
      The outcome Students will be able to define the architecture of smart transducer module and provide solution for the integration of different transducer functions and services on the microcontroller-based platform.
      Contents
      Contents of lectures Basic terms, overview of smart sensor characteristics, architectural styles and design concepts. Overview of IEEE 1451 standard for smart transducer design and implementation. Smart sensor configuration, interfacing, system integration issues. The analysis of the state of the art solutions in different application classes, including industrial applications, home automation, etc.
      Contents of exercises Study research work on the state of the art in the field of smart sensors, software and hardware design and development.
      Literature
      1. Teaching notes available at web site of department/course.
      2. S. C. Mukhopadhyay, G. S. Gupta, Smart Sensors and Sensing Technology, Springer-Verlag, 2008 (Original title)
      3. R. Frank, Understanding Smart Sensors, Arctech House, 2000 (Original title)
      4. W. Nowrocki, Measuring System and Sensors, Artech house, inc. 2005 (Original title)
      5. N. Kirianaki, S. Yurish, N. Shpak, V. Deynega, Data Acquisition and Signal Processing for Smart Sensors, John Wiley & Sons, 2002 (Original title)
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      8
      Methods of teaching Mentored work, consultations and discussions, individual student work on research and development, laboratory work.
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures Test paper 0
      Practical lessons 0 Oral examination 50
      Projects 50
      Colloquia 0
      Seminars 0