Course details

Intelligent Sensors

SEN Acad. year 2018/2019 Winter semester 5 credits

Current academic year

Elementary sensors, types of sensors, their parameters. Conductance, electronic components and production of the sensors. Measurement of physical quantities. Acquirement, transmission, and processing of the sensor data. Definition of the intelligent sensors. Sensor networks - communication, centralised and decentralised system of the measurement chains, multiagent systems. Practical examples and future trends - nanosensors and biosensors.


Language of instruction



Credit+Examination (written)

Time span

26 hrs lectures, 4 hrs exercises, 4 hrs laboratories, 18 hrs projects

Assessment points

55 exam, 15 mid-term test, 4 exercises, 4 labs, 22 projects




Dvořák Michal, Ing. (DITS FIT BUT)
Goldmann Tomáš, Ing. (DITS FIT BUT)
Heidari Mona (DITS FIT BUT)
Sakin Martin, Ing. (DITS FIT BUT)
Semerád Lukáš, Ing. (DITS FIT BUT)
Tinka Jan, Ing. (DITS FIT BUT)

Subject specific learning outcomes and competences

The the acquainted knowledge belongs the measurement of physical quantities, how to convert physical quantities to electronic form using sensors and how to transmit, process, and use acquired data. Everything is oriented on intelligent sensors, sensor networks and smart homes.

Learning objectives

To inform about the measurement of the physical quantities. To learn how the physical quantities are converted to an electronic form using sensors. To learn how to transmit, process and use data.


Prerequisite kwnowledge and skills

Valid schooling of Edict No. 50 (work with electrical devices) is needed.

Study literature

  1. Cai, Z.X.: Intelligent Control: Principles, Techniques and Applications, World Scientific, ICIA Vol. 7, 1997, p. 451, ISBN 981-02-2564-4.
  2. Martinek, R.: Senzory v průmyslové praxi, BEN - technická literatura, 2004, ISBN 80-7300-114-4.
  3. Fraden, J.: Handbook of Modern Sensors: Physics, Designs, and Applications, AIP Press, 2003, ISBN 0387007504.
  4. Frank, R.: Understanding Smart Sensors, Artech House Publishers, 2000, ISBN 0890063117.
  5. Yamasaki, H.: Intelligent Sensors, Elsevier, 1996, p. 298, ISBN 0-444-89515-9.

Fundamental literature

  1. Martinek, R.: Senzory v průmyslové praxi, BEN - technická literatura, 2004, ISBN 80-7300-114-4
  2. Švec, J.: Příručka automatizační a výpočetní techniky, SNTL, 1975
  3. Fraden, J.: Handbook of Modern Sensors: Physics, Designs, and Applications, AIP Press, 2003, ISBN 0387007504
  4. Frank, R.: Understanding Smart Sensors, Artech House Publishers, 2000, ISBN 0890063117
  5. Brignell, J., White, N.: Intelligent Sensor Systems (Sensors), Institute of Physics Publishing, 1994, ISBN 0750302976
  6. Ristic, L.: Sensor Technology and Devices, Artech House Publishers, 1994, ISBN 0890065322

Syllabus of lectures

  1. Introduction - sensors, types of sensors, their parameters. Microelectronic and microelectromechanic systems.
  2. Electrical conductibility in different materials and components for the sensor production (semi-conductors, diodes, transistors, ...), brief introduction to the sensor production.
  3. Selected types of the measurement of the physical quantities (position estimation, measurement of the pressure, flow, temperature, optical, electrical, chemical, and magnetic quantities).
  4. Basic sensing principles (function and physical principles) - how do the sensors work?
  5. Sensor data acquirement. Basic principles of the acquirement and transmission of the data (signals and buses).
  6. Data processing. Pattern recognition and classification.
  7. Intelligent sensors I. Definitions, examples.
  8. Intelligent sensors II. Complex sensors, biometric sensors (fingerprint scanners, retina scanners, etc.).
  9. Soft-Computing (fuzzy logic, neural networks, agents), use in the intelligent sensors.
  10. Sensor networks I. Centralised and decentralised system of the measurement chains. Communication (IEEE 1415), distributed systems.
  11. Sensor networks II. Sensor networks as a multiagent systems.
  12. Practical examples of the intelligent sensors.
  13. Future of the intelligent sensors, trends (nanosensors, biosensors).

Syllabus of numerical exercises

  1. Theoretical calculations - measurement, errors.
  2. Theoretical calculations - selected measurement processes.

Syllabus of laboratory exercises

  1. Work with elementary sensors. Practical examples.
  2. Work with complex sensors. Practical examples.

Syllabus - others, projects and individual work of students

  1. Processing of a project from the selected part of the course.

Progress assessment

  1. Written midterm test
  2. Participation and active work in laboratories + exercises
  3. Project (minimum are 3 points)

Controlled instruction

In the case of missed HW laboratories it is possible to replace them until the laboratory is ready for further laboratory practice. Please inform the head of the laboratory or the course supervisor without any delay.

Exam prerequisites

Student must gain at least 15 points during the term. Minimum for the project are 3 points.

Course inclusion in study plans

  • Programme IT-MSC-2, field MBI, MGM, MIS, MMM, any year of study, Elective
  • Programme IT-MSC-2, field MBS, any year of study, Compulsory-Elective group B
  • Programme IT-MSC-2, field MIN, MPV, any year of study, Compulsory-Elective group C
  • Programme IT-MSC-2, field MSK, 1st year of study, Compulsory-Elective group N
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