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Modern industrial technology

Summary

Graduates of the course will thus gain a basic overview of trends in modern industry, technologies used and procedures applicable also in the sphere of raw materials industry.
Students will gain basic knowledge and skills in the field of design, programming and implementation of industrial systems. They will become familiar with microcomputers, sensors and actuators, and will understand the basic principles of automation, control and system integration in the context of Industry 4.0. The course serves as an introduction to modern manufacturing technologies, including laser processing, additive manufacturing and CAD/CAM systems. Students will gain an overview of the analysis and testing of industrial processes and will become familiar with the possibilities of using artificial intelligence and machine learning in production. The course provides an introductory orientation in key technologies that they can further develop in subsequent specialized courses.

Literature

GERTZ, Emily a DI JUSTO, Patrick. Environmental monitoring with Arduino. Sebastopol: O'Reilly, 2012. ISBN 978-1-4493-1056-1.
MARGOLIS, Michael; JEPSON, Brian a WELDIN, Nicholas Robert. Arduino cookbook: recipes to begin, expand, and enhance your projects. Third edition. Sebastopol, CA: O'Reilly, 2020. ISBN 978-1-491-90352-0.
PRŮŠA, Josef. 3D PRINTING HANDBOOK. Online. Verze 1.01. Prusa Research, 2024. Dostupné z: https://www.prusa3d.com/downloads/manual/prusa3d_manual_mk4s_mk39s_101_en.pdf. [cit. 2025-02-07].
SLAMA, Dirk; PUHLMANN, Frank; MORRISH, Jim a BHATNAGAR, Rishi M. Enterprise IoT. Sebastopol: O'Reilly, 2015. ISBN 978-1-4919-2483-9.
BRÄUNL, Thomas. Embedded robotics: from mobile robots to autonomous vehicles with Raspberry Pi and Arduino. Fourth edition. Singapore: Springer, 2022. ISBN 978-981-16-0803-2.

Advised literature

NORRIS, Donald. Raspberry Pi electronics projects for the evil genius. Evil genius series. New York: McGraw Hill Education, [2016]. ISBN 978-1-25-964058-2 .
BRÄUNL, Thomas. Embedded robotics: from mobile robots to autonomous vehicles with Raspberry Pi and Arduino. Fourth edition. Singapore: Springer, 2022. ISBN 978-981-16-0803-2.
IBRAHIM, Dogan. Multitasking with Raspberry Pi. Learn, design, share. London: Elektor, 2020. ISBN 978-1-907920-96-7.
NOVÁK, Martin. Introduction to sensors for electrical and mechanical engineers. Boca Raton: CRC Press, Taylor & Francis Group, 2020. ISBN 978-0-367-51821-9.


Language of instruction čeština, angličtina, čeština
Code 545-0181
Abbreviation MPT
Course title Modern industrial technology
Coordinating department Department of Economics and Control Systems
Course coordinator Ing. Jiří Švub, Ph.D.