Course detail

Digital Electronics

FEKT-MPA-DIEAcad. year: 2024/2025

The course Digital Electronics focuses on advanced digital circuits, microprocessor technology, and use of MicroPython language for programming ESP32 microcontrollers. The course provides practical experience in the design and implementation of embedded systems, allowing students to deepen their programming skills and understanding of individual components within microprocessor systems. The course also includes an introduction to programming embedded devices for machine learning.

By the end of the course, students will learn to:

  • Understand advanced principles of digital circuits and microprocessor technology
  • Design embedded system using microcontrollers
  • Program ESP32 microcontrollers in MicroPython
  • Debug and test applications on microcontrollers
  • Apply machine learning to embedded devices

Language of instruction

English

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Tomáš Frýza, Ph.D.

Department

Department of Radio Electronics (UREL)

Offered to foreign students

The home faculty only

Entry knowledge

  • Basic knowledge of digital logic, combinational and sequential circuits
  • Basic programming skills in high-level languages (e.g., C, Python) and experience with writing simple programs

It is advantageous to have experience with microprocessor technology or microcontroller programming.

Rules for evaluation and completion of the course

The course is graded out of a total of 100 points:

  • 20 points can be earned during the semester from the project.
  • 80 points can be earned from the final exam, which consists of a written part (70 points) and an oral part (10 points).

To successfully complete the course, students must:

  • Earn the course credit.
  • Pass the final exam.
  • Achieve at least 50 points in total.

ECTS Grading Scale:

  • A: 90–100
  • B: 80–89
  • C: 70–79
  • D: 60–69
  • E: 50–59
  • F: 0–49

Aims

The aim of the course is to introduce students to the basics of microprocessor circuits and to teach them practical procedures for the design of circuit connections of embedded systems, as well as the essence and use of machine learning on embedded devices.

Study aids

All study materials are available in BUT e-learning. Recommended study literature is available in the BUT library.

 

Prerequisites and corequisites

Not applicable.

Basic literature

LACAMERA, Daniele. Embedded systems architecture: explore architectural concepts, pragmatic design patterns, and best practices to produce robust system. Birmingham: Packt, 2018. ISBN 978-1788832502. (EN)
SCHERZ, Paul a Simon MONK. Practical electronics for inventors. Fourth edition. New York: McGraw-Hill Education, [2016]. ISBN 1259587541. (EN)
GÉRON, Aurélien. Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems. Second edition. Beijing: O'Reilly, 2019. ISBN 978-1-492-03264-9. (EN)
-CHEN, Shujen, Muhammad Ali MAZIDI a Nasim YAZDANI. Rapsberry Pi Pico interfacing and programming with MicroPython. [North Haven]: MicroDigitaEd, 2022. ISBN 9781970054231. (EN)

Recommended reading

Not applicable.

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme MPA-TEC Master's 2 year of study, winter semester, compulsory
  • Programme MPAJ-TEC Master's 2 year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

doc. Ing. Tomáš Frýza, Ph.D.

Syllabus

Numbers in digital systems

Programming in Python

Introduction to microcontrollers and GPIOs

Interrupt systems and Timers

Displays and ways to reduce consumption

Serial communication

Wireless communication

Object-oriented programming

Project documentation, coding standards, version-control systems

Laboratory exercise

26 hod., compulsory

Teacher / Lecturer

doc. Ing. Tomáš Frýza, Ph.D.

Syllabus

Programming in Python

Control of GPIO pins

Timers

Liquid Crystal Display (LCD)

I2C serial communication

Wi-Fi communication

Object-oriented programming

Machine learning project

Elearning

eLearning: currently opened course