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Lecturer(s)
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Dostál Jiří, prof. PhDr. PaedDr. Ph.D.
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Dragon Tomáš, Mgr. Ph.D., MBA
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Klement Milan, prof. PhDr. Ph.D.
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Course content
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topics: - concept and system definition (structure, behavior, borders, subsystem, distinguishing level, material and immaterial surroundings, distinctive level) - comparison of selected system definitions (structure and behavior) - typing systems (mathematical, physical, economic, etc.), Soft and hard systems - three basic problems (job types) on systems - custody systems and linking systems (mathematical expressions and geometric solutions), finite automaton, feedback, - categorization systems (deterministic-stochastic, static-dynamic, continuous-discrete well.) Turing machine algorithms, - static systems (description, examples), dynamical systems (description, examples), stability, homeostasis, - basics of modeling, model definition, modeling approach, - types of models (mathematical, physical, technical, economic and others.) - isomorphism, homomorphism, - four stages of mathematical modeling (induction, deduction, interpretation, adequacy) - Black Box (isomorphic machines, machines homomorphic) - principle of system approach to the project (target analysis - top-down synthesis - bottom-up implementation) - concretization example, Business Intelligence, decomposition system, the level of abstraction, Specific examples of systems and tasks on systems.
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Learning activities and teaching methods
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Lecture, Work with Text (with Book, Textbook), Projection (static, dynamic)
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Learning outcomes
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Students will learn the basics of introduction to the theory of systems, structure, behavior, and their formal expressions. An important place is given to a typology of different systems, from natural (eg. Biological, social) to artificial (eg. Maintenance). Individual theoretical passages are accompanied by concrete examples of systems, their analysis. Of the cases analyzed the importance of a systems approach to the design of specific projects and emphasis on information systems.
After completing the course, students should be especially able to: - describe the history and development of systems theory and define the subject of examination systems theory, - operate the basic concepts of systems theory and define the concept of system, - determine the purpose and definition of the subject and describe the structure and system decomposition, - Explain the concepts of determinate, randomness and uncertainty of the system, describe the possibilities of organization and management systems, - Describe the basic characteristics of static and dynamic systems, explain the concepts of quality, reliability and system stability, - characterize systems, hard and soft, to explain the nature and purpose of decomposition systems, - characterize the basic principles of implementation of decomposition systems, determine the terms of decomposition systems, - Perform analysis and synthesis systems, characterizing the notion of system analysis, - explain the concept of system design and describe, apply a structured system analysis and implement a structured system design, - define the concept model of the system to perform division models, choose the appropriate structure of the model, choose the appropriate model parameters, apply and reflect on the possibilities of graphic expression patterns, - define and characterize the concept of information system and describe the role of information systems; - name and describe the elements of the information system, - Determine the meaning of the data in relation to information systems, - Determine the meaning of information in relation to information systems, - Determine the meaning of knowledge and philosophy in relation to information systems, - characterize and define the concept of a knowledge-based system to determine the meaning of information and knowledge in relation to knowledge systems, - Determine the meaning of knowledge and decision-making in relation to knowledge systems, characterize and define the concept of knowledge engineering.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Written exam
Test
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Recommended literature
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Havelka, Kořenář, Walterová. (1996). Sbírka příkladů k bakalářské zkoučce z operačního výzkumu. Praha : VŠE, FIS.
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Hušek, R., Maňas, M. (1989). Matematické modely v ekonomii. SNTL, Praha.
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Jablonský. (1996). Operační výzkum. Praha : VŠE.
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Lukáš. Sylabus přednášek KSO/PMO. VŠE FEK KSO.
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Macek, Mainzová. (1995). Základní metody operační analýzy. Plzeň : ZČU.
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Walter. (1970). Stochastické modely v ekonomii. Praha : SNTL.
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