Course: Systems Engineering

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Course title Systems Engineering
Course code MUPI/4SIN
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 0
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Chromjaková Felicita, prof. Ing. PhD.
  • Sedlák Josef, doc. Ing. Ph.D.
Course content
The system, the definition of key terms in terms of scientific research in the field of system engineering. System engineering methodology focuses on identifying, designing, managing, and improving systems in industrial companies. System engineering - the setting of process parameters and system engineering project organization in industrial companies. Current trends in system engineering

Learning activities and teaching methods
Monologic (Exposition, lecture, briefing), Methods for working with texts (Textbook, book), Teamwork
  • Home preparation for classes - 15 hours per semester
prerequisite
Knowledge
Completion of professional subjects in the fields of study Economics and Management, Industrial Engineering. Ability to identify, analyze and process process data for analytical purposes. Knowledge of statistics and mathematical modeling. Detailed knowledge of the areas of designing production systems and processes. Detailed knowledge of the design of logistics and support processes.
Completion of professional subjects in the fields of study Economics and Management, Industrial Engineering. Ability to identify, analyze and process process data for analytical purposes. Knowledge of statistics and mathematical modeling. Detailed knowledge of the areas of designing production systems and processes. Detailed knowledge of the design of logistics and support processes.
Skills
The student manages to identify key findings from the field of systems theory and systems thinking. It has the ability to detect causal relationships and identify key process links. Can assess the content and structure of the production system and process. He has knowledge of connecting mathematical, technical and managerial methods. Manages the creation of a complex system model in cooperation with other people and technologies.
The student manages to identify key findings from the field of systems theory and systems thinking. It has the ability to detect causal relationships and identify key process links. Can assess the content and structure of the production system and process. He has knowledge of connecting mathematical, technical and managerial methods. Manages the creation of a complex system model in cooperation with other people and technologies.
learning outcomes
Knowledge
He controls the identification of key system contexts and dependencies. Can use mathematical-statistical methods to implement system data analysis. He can integrate metrics and indicators into the system model environment. He is able to set the rules of operation of the production system. He has knowledge of managerial organization and system model management.
He controls the identification of key system contexts and dependencies. Can use mathematical-statistical methods to implement system data analysis. He can integrate metrics and indicators into the system model environment. He is able to set the rules of operation of the production system. He has knowledge of managerial organization and system model management.
Skills
Knowledge of systems theory, systems thinking, comprehensive understanding of the system, system context. The ability to lead a system procedure within a team for the creation and organization of a production system. The student is able to logically connect system components and design process links. He is familiar with systems engineering tools applicable to effective systems thinking about solutions. Can interpret specific facts and figures for designing a production system.
Knowledge of systems theory, systems thinking, comprehensive understanding of the system, system context. The ability to lead a system procedure within a team for the creation and organization of a production system. The student is able to logically connect system components and design process links. He is familiar with systems engineering tools applicable to effective systems thinking about solutions. Can interpret specific facts and figures for designing a production system.
teaching methods
Knowledge
Monologic (Exposition, lecture, briefing)
Methods for working with texts (Textbook, book)
Methods for working with texts (Textbook, book)
Teamwork
Monologic (Exposition, lecture, briefing)
Teamwork
assessment methods
Essay
Composite examination (Written part + oral part)
Composite examination (Written part + oral part)
Essay
Recommended literature
  • Chromjaková, Felicita. Průmyslové inženýrství - Trendy zvyšování výkonnosti štíhlým řízením procesů. Georg Žilina, 2013. ISBN 978-80-8154-058-5.
  • Kossiakoff,A. Systems Engineering Principles and Practice. John Wiley&Sons, 2011. ISBN 978-0-470-40548-2.
  • USTUNDAG, Alp a Emre CEVIKCAN. Industry 4.0: managing the digital transformation. Switzerland: Springer, 2018. ISBN 978-3-319-57869-9.
  • Wasson,Ch. System Engineering ? Analysis, Design and Development. John Wiley&Sons, 2004. ISBN 978-1-118-44226.
  • ZANDIN, K. B. Maynard´s industrial engineering handbook. New York : Graw - Hill, 2001. ISBN 0-07-041102-6.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester