Lecturer(s)
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Čapek Jan, prof. Ing. CSc.
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Course content
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Leontieff input/output methods. Black box methods, Methods of piecemeal derivation and integration. Methods of weighting function, AR, MA, ARMA, ARIMA, models. Evolution models. Predator-prey model. Chaotic models, (Elliot waves).
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Learning activities and teaching methods
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Dialogic (discussion, interview, brainstorming)
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Learning outcomes
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The aim of this course is learn theoretical knowledge about social and economics processes modelling with using PC as a tool.
The student will be able to apply the synthesis methods of mathematical models of the economics process. This process form the system point of view expressed complicated non-linear dynamics system, so it will be used mainly input/output methods.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral examination
The student is lead to self-reliant work, when knowledge obtaining by his/her study is able to implant into his/her thesis. The problems solving by methods included within this subject are presented by student's self-reliant work. The student is able to defend his/her conclusions in the scientific discussion and implement it into his/her thesis.
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Recommended literature
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Cipra,T. Analýza časových řad s aplikacemi v ekonomii.. SNTL/ALFA, 1986.
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Čapek,J. Modelování ekonomických a sociálních procesů.. Univerzita Pardubice, 2006.
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Hušek,R. Základy ekonometrické analýzy I. Modely a metody.. skripta VŠE, 1995.
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Mandl. P. Pravděpodobnostní dynamické modely.. Academia, 1985.
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Medio, Alfredo. Nonlinear dynamics : a primer. Cambridge: Cambridge University Press, 2001. ISBN 0-521-55874-3.
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Pazourek.J. Simulace biologických systémů.. Grada, 1992.
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Shone R. An Introduction to Economic Dynamics.. Cambridge University Press, 2001.
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Shone, Ronald. Economic dynamics : phase diagrams and their economic application. Cambridge: Cambridge University Press, 2002. ISBN 0-521-01703-3.
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Takayama A. Mathematical economics.. Cambridge University Press, 1997.
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