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Lecturer(s)
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Bulíček Josef, doc. Ing. Ph.D.
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Course content
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System analysis - system and its identification, decomposition, assessment Human activity systems Decision making - mono-criterial, multicriterial Scheduling - design of a sequence of activities Timetabling - organisation of activities in time (reservation time) Capacity of transport infrastructure Basics of information theory
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Learning activities and teaching methods
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unspecified, Monologic (reading, lecture, briefing), Demonstration
- Participation in classes
- 52 hours per semester
- Preparation for an exam
- 50 hours per semester
- Home preparation for classes
- 64 hours per semester
- Independent critical reading
- 14 hours per semester
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Learning outcomes
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The course is focused on the field of system analysis. The students will learn how to design, modify and optimise especially transport systems in a complex point of view. Decision-making and scheduling methods are also an important part of the subject. Such methods are support for efficient functioning of designed systems. Issues of transport infrastructure capacity and of basics of information theory are involved as well.
After completing the course, students are able to apply a system approach to the design, modification and optimization of transport systems. Students are also introduced to some decision-making and scheduling methods that can be appropriately applied as a part of the optimization activities in systems. This is also presented in the context of transport infrastructure capacity as an example of such a resource, the amount of which is often limited.
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Prerequisites
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There are no specific prerequisities invited. Overview about basic mathematics could be an advantage.
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Assessment methods and criteria
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Written examination
Minimally required attendance is 70% (fixed time schedule - once a week). Higher level of absence can be excused in justified cases with documented reasons (for example, a medical report). Individual completion of examples from the classes (the aim is to solve as many examples as possible directly in class). Exam - written test consised of open questions focused on basic principles how to solve the issues (of computations) and on basic theory.
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Recommended literature
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Albright, S. Christian. Data analysis & decision making. Mason: Thomson South-Western, 2006. ISBN 0-324-40086-1.
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Bulíček, J. Learning Support Handbook - Systems Analysis and Decision Making. Pardubice. 2020.
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Černá, Anna. Manažerské rozhodování o dopravních systémech. Pardubice: Univerzita Pardubice, 2014. ISBN 978-80-7395-849-7.
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Černý, Ján. Základy matematickej teórie dopravy. Bratislava: Veda, 1989. ISBN 80-224-0099-8.
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Christofides, N.:. Graph Theory - an Algorithmic Approach.. New York: Academic Press, 1975. ISBN 0-12-174350-0.
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Tuzar, A. Teorie dopravy. Pardubice, 1996.
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