Lecturer(s)
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Neupauer Yevgeniy, doc. Ing. Ph.D.
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Holý Richard, Ing. Bc. Ph.D.
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Course content
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The course focuses on the basic knowledge and skills in working with hardware models of selected industrial engineering applications using event-driven programming, processing and storing data from hardware models. 1. Industry 4.0 and Smart manufacturing 2. The STEM concept and its applications 3. Physical models of manufacturing system - case studies 4. Simulation models and digital twins 5. Manufacturing system data acquisition, sensors and their applications 6. Actuators and their application for model control (in STEM concept) 7. Standard programming languages for model control 8. Visual programming languages for model control 9. Machine Learning using visual programming languages 10. Data in Smart Manufacturing 11. Decision-making algorithms in manufacturing control 12. Industry 5.0 concept, trends in manufacturing 13. Evaluation, complementation, feedback
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Learning activities and teaching methods
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Lecture with practical applications, E-learning, Multimedia supported teaching, Students' portfolio, One-to-One tutorial, Individual study
- Team project (50/number of students)
- 17 hours per semester
- unspecified
- 32 hours per semester
- Preparation for comprehensive test (10-40)
- 30 hours per semester
- Contact hours
- 52 hours per semester
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prerequisite |
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Knowledge |
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understand what algorithmization is |
have basic knowledge of working with files |
have basic knowledge of a compiled or interpreted programming or scripting language |
Skills |
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be able to work with MS Office tools (Word, Excel) |
be able to work with PC |
design an algorithm to solve a simple problem |
Competences |
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N/A |
N/A |
N/A |
Bc. study: plans and organizes his/her own learning and work, Bc. study: recognizes the problem, clarifies its essence, breaks it down into parts, Bc. study: critically approaches sources of information, processes information creatively and uses it in his/her studies and practice, |
learning outcomes |
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Knowledge |
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explain the basic elements of the Industry 4.0 concept |
describe the use of basic sensors and actuators in production |
explain HW and SW simulation, their possibilities and use |
explain the possibilities of interconnection of HW to enterprise information systems |
Skills |
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design an algorithm and program the HW model using a visual programming language |
collect and store data from the HW model |
implement basic communication between the PC and the control unit of the HW model |
control the HW model using a custom application running on a PC |
Competences |
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N/A |
N/A |
N/A |
N/A |
Bc. study: make independent and responsible decisions based on a framework assignment in a context that is only partially known, Bc. studies: they communicate information about the nature of professional problems and their own views on their solution in a clear and convincing way to experts and lay people, Bc. study: summarise the views of other team members in a clear way, Bc. study: they independently acquire further professional knowledge, skills and competences based mainly on practical experience and its evaluation, but also by independent study of theoretical knowledge in the field, |
teaching methods |
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Knowledge |
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E-learning |
Multimedia supported teaching |
Individual study |
One-to-One tutorial |
Interactive lecture |
Self-study of literature |
Skills |
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Cooperative instruction |
E-learning |
Project-based instruction |
Skills demonstration |
Students' portfolio |
Individual study |
Competences |
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Lecture with visual aids |
Interactive lecture |
Practicum |
Students' portfolio |
Individual study |
Discussion |
assessment methods |
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Knowledge |
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Test |
Skills |
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Skills demonstration during practicum |
Project |
Individual presentation at a seminar |
Competences |
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Test |
Individual presentation at a seminar |
Project |
Recommended literature
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Abhay B Joshi, Ravindra Pande. Advanced Scratch Programming: Learn to design programs for challenging games, puzzles, and animations. USA, 2016. ISBN 978-1539660842.
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DeBarros Anthony. Practical SQL: A Beginner's Guide to Storytelling with Data. No Starch Press, 2018. ISBN 978-1593278274.
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Gilchrist, A. Industry 4.0: The Industrial Internet of Things. APRESS, USA, 2016. ISBN 978-1484220467.
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Nathan Clark. Python: Programming Basics for Absolute Beginners (Step-By-Step Python). USA, 2018. ISBN 978-1987518979.
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Sumanth Krishna Ambati, Sudeep Krishna Ambati. Scratch To Python: Gateway to Computer Programming. USA, 2023. ISBN 979-8391654346.
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