Electronics and measurement technology

Within the scope of the subject, students acquire the material of the "Electronics and Measurement Technology" course through six well-structured projects. At the beginning of each project, they are introduced to basic concepts related to the specific project during an introductory lecture. Following the introduction, in a laboratory practice, students implement a device using either the Arduino or the Raspberry Pi platform. Each project concludes with a closing lecture where they gain deeper knowledge and gain insights into industrial and research and development areas related to the project topic.  The following six projects will be presented during the semester:

1. Temperature Measurement. Students create a temperature-measuring device that measures temperature using a resistance thermometer and displays it on an LCD panel. In this context, they familiarize themselves with topics such as: measurement system, Arduino framework, microcontroller programming, LCD display data connection, resistance, temperature measurement techniques, and related mathematical modeling.

2. Distance Measurement. During the project, students measure distance using an ultrasonic distance sensor and display it on an LCD panel. Concurrently, they also provide acoustic feedback on the measurement using a buzzer.

3. Optical Separation Simulation. The measurement setup consists of a light-emitting and a light-sensing part. With the simulation, they model biological processes such as flow cytometry measurement or DNA sequence analysis. The implementation of the topic requires basic knowledge such as the operation of RGB LEDs, time-resolved light sensing, and working with colored LEDs.

4. Sensor Panels. Various hardware platforms demonstrate the use of sensor panels:

Raspberry PI + Sense Hat expansion board, which includes the RGB LED matrix display, accelerometer, magnetometer, and other sensors.

Arduino UNO platforms with two different sensor panels equipped with various feedback devices and sensors. The programming of the sensors is done through Python and C languages.

5. Signal-Level Operations. Students familiarize themselves with a signal generator, oscilloscope, and operational amplifier, which they use for signal amplification, signal inversion, signal differentiation, and integration tasks.

6. Data Transfer Systems. Students establish two communicating systems, where communication occurs in wired or wireless form. During the project, they familiarize themselves with serial, parallel, LAN, IR, WLAN, and GSM data transmission modes.

Through the above projects, students not only gain theoretical knowledge but also develop practical skills that prepare them for future labor market challenges.