545-0181/02 – Modern industrial technology (MPT)

Gurantor departmentDepartment of Economics and Control SystemsCredits4
Subject guarantorIng. Jiří Švub, Ph.D.Subject version guarantorIng. Jiří Švub, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageEnglish
Year of introduction2020/2021Year of cancellation
Intended for the facultiesHGFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
BEN170 Ing. Filip Beneš, Ph.D.
SVU008 Ing. Jiří Švub, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+1
Part-time Credit and Examination 8+4

Subject aims expressed by acquired skills and competences

The aim of the course is to acquaint students with the basics of contemporary industrial technology, automation devices, sensors, actuators, control elements, means of visualization, the possibilities of communication and distribution of individual components, the problems associated with the fourth industrial revolution. Students will subsequently be able to describe the issue, as well as be able to implement simple systems falling into the field of process automation and industry in general.

Teaching methods

Lectures
Tutorials
Experimental work in labs
Project work
Field trip
Teaching by an expert (lecture or tutorial)

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.

Compulsory 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.

Recommended 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.

Additional study materials

Way of continuous check of knowledge in the course of semester

Recommended attendance at lectures, active participation in seminars, elaboration of assigned tasks. Written exam.

E-learning

The Moodle Learning Management System (lms.vsb.cz) is used to communicate beyond the scope of attendance at the conference, through which communication is made not only between the teacher and students, but also between the students.

Other requirements

Recommended attendance at lectures, active participation in seminars, elaboration of assigned tasks.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Single-chip computers (microcomputers) and their architecture 2. Computer system interface 3. Measuring elements, input interfaces of systems 4. Action elements, output interfaces of systems 5. Introduction to programming, formal language, types of programming languages 6. Data types, declarations, variable definitions 7. Program structure, branching, cycles 8. System analysis 9. System design 10. Implementation and testing of the system 11. Rapid prototyping, additive manufacturing technology 12. Introduction to computer aided design, design of 3D objects 13. Realization of 3D objects

Conditions for subject completion

Full-time form (validity from: 2024/2025 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 33 (33) 17
                Semester project Semestral project 33  17
        Examination Examination 67 (67) 34 3
                Written exam Written examination 67  34
Mandatory attendence participation: 80 % of seminars

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Conditions for subject completion and attendance at the exercises within ISP: Consultations with the teacher about once a month, presentation of the results of the work assigned at the consultations are expected. Written exam.

Show history

Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2025/2026 (N0724A290011) Mineral Economics K Czech Most 1 Compulsory study plan
2025/2026 (N0724A290011) Mineral Economics K Czech Ostrava 1 Compulsory study plan
2025/2026 (N0724A290011) Mineral Economics P Czech Ostrava 1 Compulsory study plan
2024/2025 (N0724A290011) Mineral Economics K Czech Ostrava 1 Compulsory study plan
2024/2025 (N0724A290011) Mineral Economics K Czech Most 1 Compulsory study plan
2024/2025 (N0724A290011) Mineral Economics P Czech Ostrava 1 Compulsory study plan
2024/2025 (N0724A290014) Mineral Economics P English Ostrava 1 Compulsory study plan
2023/2024 (N0724A290014) Mineral Economics P English Ostrava 1 Compulsory study plan
2023/2024 (N0724A290011) Mineral Economics K Czech Most 1 Compulsory study plan
2023/2024 (N0724A290011) Mineral Economics P Czech Ostrava 1 Compulsory study plan
2023/2024 (N0724A290011) Mineral Economics K Czech Ostrava 1 Compulsory study plan
2022/2023 (N0724A290011) Mineral Economics P Czech Ostrava 1 Compulsory study plan
2022/2023 (N0724A290011) Mineral Economics K Czech Most 1 Compulsory study plan
2022/2023 (N0724A290011) Mineral Economics K Czech Ostrava 1 Compulsory study plan
2021/2022 (N0724A290011) Mineral Economics P Czech Ostrava 1 Compulsory study plan
2021/2022 (N0724A290011) Mineral Economics K Czech Most 1 Compulsory study plan
2021/2022 (N0724A290011) Mineral Economics K Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2023/2024 Summer
2022/2023 Summer