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.
Modern industrial technology
| Language of instruction | 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. |
Anotace
After completing the course, the student will be able to describe the main trends of modern industry and characterize the basic technologies associated with the concept of Industry 4.0. He/she will be able to identify the functions of microcomputers, sensors and actuators, explain the basic principles of automation and system integration and distinguish selected production technologies. He/she will be able to describe the principles of additive manufacturing, laser processing and CAD/CAM and explain the possibilities of using artificial intelligence in manufacturing and the raw materials industry.
Knowledge
The student will be able to define and characterize the basic concepts of Industry 4.0, describe the functions of microcomputers, sensors and actuators and explain the principles of automation and control. He/she will be able to describe the principles of additive manufacturing, laser processing, CAD/CAM systems and the basic possibilities of using artificial intelligence and machine learning.
Skills
The student will be able to distinguish the basic elements of industrial systems, identify their functions and mutual relationships and select the appropriate technology for a simple assigned task. He/she will be able to interpret a simple diagram of an industrial system and explain the basic procedure of its control, integration and testing.
General Competencies
The student is able to compare selected modern industrial technologies, explain their possibilities and limitations, and discuss their use in manufacturing and raw materials industries. He/she is able to present a simple technological solution and justify the selection of its basic elements.
Knowledge
The student will be able to define and characterize the basic concepts of Industry 4.0, describe the functions of microcomputers, sensors and actuators and explain the principles of automation and control. He/she will be able to describe the principles of additive manufacturing, laser processing, CAD/CAM systems and the basic possibilities of using artificial intelligence and machine learning.
Skills
The student will be able to distinguish the basic elements of industrial systems, identify their functions and mutual relationships and select the appropriate technology for a simple assigned task. He/she will be able to interpret a simple diagram of an industrial system and explain the basic procedure of its control, integration and testing.
General Competencies
The student is able to compare selected modern industrial technologies, explain their possibilities and limitations, and discuss their use in manufacturing and raw materials industries. He/she is able to present a simple technological solution and justify the selection of its basic elements.
Povinná literatura
Doporučená literatura
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.
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.