| Course Unit Code | 352-0559/01 |
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| Number of ECTS Credits Allocated | 5 ECTS credits |
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| Type of Course Unit * | Compulsory |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | Second Year |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| FOJ74 | Ing. David Fojtík, Ph.D. |
| Summary |
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| The subject introduces students with the principles of digital factories, as well as the devices, technologies and methods that form the backbone of the digital factory. |
| Learning Outcomes of the Course Unit |
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| The aim of this subject is to familiarize students with the principle of a digital factory, including practical introduction to the means, technologies and methods, which they form the backbone of the digital factory. Students get acquainted with the problems of typical sensors, communications networks, data storage and processing methods and data evaluation including an introduction to artificial intelligence. |
| Course Contents |
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1. Introduction to the Subject, Design and Structure of the Digital Factory.
2. Introduction to smart sensors and sensors with a focus on transport and handling.
3. Introduction to contactless and optical sensors.
4. Introduction to image data processing.
5. The Internet of Things and its importance in the digital factory.
6. Computer data networks in digital factories.
7. Wireless computer networks in digital factories.
8. Industrial communication standards and communication protocols.
9. Introduction to Relational Databases and SQL Server.
10. TSQL Basics - Data mining and evaluation.
11. Digital twin, implementation in digital factory.
12. Automatic data evaluation and introduction to artificial intelligence.
13. Neural networks, types of neural networks, training methods.
14. Granting credits.
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| Recommended or Required Reading |
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| Required Reading: |
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FRANK, Randy. Understanding smart sensors. 3rd ed. Boston: Artech House, c2013. Artech House integrated microsystems library. ISBN 978-1-60807-507-2
HAUS, Jörg. Optical sensors: basics and applications. [Hoboken]: John Wiley & Sons, 2010. Wiley series in probability and statistics. ISBN 978-3-527-62943-5.
MARSHALL, Perry S. a John S. RINALDI. Industrial Ethernet: how to plan, install, and maintain TCP/IP Ethernet networks. 2nd ed. Research Triangle Park: ISA, c2005. ISBN 1-55617-892-1.
KELLENBERGER, Kathi. Beginning T-SQL. Third edition. New York, NY: Distributed to the Book trade worldwide by Springer Science+Business Media, [2014]. ISBN 1484200470.
HORNBERG, Alexander, ed. Handbook of machine and computer vision: the guide for developers and users. Second, revised and updated edition. Weinheim, Germany: Wiley-VCH, [2017]. ISBN 9783527413409.
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KREIDL, Marcel a Radislav ŠMÍD. Technická diagnostika: senzory, metody, analýza signálu. Praha: BEN - technická literatura, 2006. Senzory neelektrických veličin, díl 4. ISBN 80-7300-158-6.
HAUS, Jörg. Optical sensors: basics and applications. [Hoboken]: John Wiley & Sons, 2010. Wiley series in probability and statistics. ISBN 978-3-527-62943-5.
KUROSE, James F. a Keith W. ROSS, 2014. Počítačové sítě. Brno: Computer Press. ISBN 978-80-251-3825-0.
KELLENBERGER, Kathi. Beginning T-SQL. Third edition. New York, NY: Distributed to the Book trade worldwide by Springer Science+Business Media, [2014]. ISBN 1484200470.
MAŘÍK, Vladimír, Olga ŠTĚPÁNKOVÁ a Jiří LAŽANSKÝ. Umělá inteligence. (6). Praha: Academia, 2013. ISBN 978-80-200-2276-9.
HORNBERG, Alexander, ed. Handbook of machine and computer vision: the guide for developers and users. Second, revised and updated edition. Weinheim, Germany: Wiley-VCH, [2017]. ISBN 9783527413409.
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| Recommended Reading: |
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SANTOS, José Luís a Faramarz FARAHI, ed. Handbook of optical sensors. Boca Raton: CRC Pres, Taylor & Francis Group, [2015]. ISBN 978-1-4398-6685-6.
BEN-GAN, Itzik. T-SQL fundamentals. Third edition. Redmond, Washington: Microsoft Press. ISBN 9781509302000.
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MARTINEK, Radislav. Senzory v průmyslové praxi. Praha: BEN - technická literatura, 2004. ISBN 80-7300-114-4.
SANTOS, José Luís a Faramarz FARAHI, ed. Handbook of optical sensors. Boca Raton: CRC Pres, Taylor & Francis Group, [2015]. ISBN 978-1-4398-6685-6.
MARSHALL, Perry S. a John S. RINALDI. Industrial Ethernet: how to plan, install, and maintain TCP/IP Ethernet networks. 2nd ed. Research Triangle Park: ISA, c2005. ISBN 1-55617-892-1.
CARROLL, Brandon. Bezdrátové sítě Cisco: autorizovaný výukový průvodce. Přeložil Martin BABARÍK, přeložil Jakub GONER, přeložil David KRÁSENSKÝ. Brno: Computer Press, 2011. Exam certification guide series. ISBN 978-80-251-2884-8.
BEN-GAN, Itzik. T-SQL fundamentals. Third edition. Redmond, Washington: Microsoft Press. ISBN 9781509302000.
CHOLLET, François. Deep learning v jazyku Python: knihovny Keras, TensorFlow. Přeložil Rudolf PECINOVSKÝ. Praha: Grada Publishing, 2019. Knihovna programátora. ISBN 978-80-247-3100-1.
DOBEŠ, Michal. Zpracování obrazu a algoritmy v C#. Praha: BEN - technická literatura, 2008. ISBN 978-80-7300-233-6.
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| Planned learning activities and teaching methods |
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| Lectures, Tutorials |
| Assesment methods and criteria |
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| Tasks are not Defined |