Course: State Final Exam Quantitative Methods in Economy

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Course title State Final Exam Quantitative Methods in Economy
Course code KMI/SZKEN
Organizational form of instruction no contact
Level of course Master
Year of study not specified
Semester Winter and summer
Number of ECTS credits 0
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
Course content
unspecified

Learning activities and teaching methods
unspecified
Learning outcomes
Students know well the field of statistic methodology and decision making. They are able to recognize appropriate models from statistic methodology and decision making for their practical economic problems. Propose a solution and evaluate their results.
The aim is to get a complex view about students knowledge in the courses covering statistical methodology and decision theory applicabe during economical problem the solving.
Prerequisites
Student know statistical methodology and models for decision making. We suppose that student pass courses focused on basic statistical methodology, advanced course on data analysis and Models of Decision Theory.
KMI/CSTAE
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KMI/KSTAE
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KMI/STATE and KMI/CENM
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KMI/ENM
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KMI/YENM and KMI/CRM1
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KMI/MDT
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KMI/RM1

Assessment methods and criteria
Oral examination

Students have to prove their complex understanding of the basic terminology and principles of data analysis and decision making, they have to be able to respond to particular questions and to apply theoretical knowledge in examples.
Recommended literature
  • Anděl, J. Matematika náhody. (3. vyd.) Praha : Matfyzpress, 2007..
  • Anděl, J. Statistické metody 3. vyd., Praha, Marfyzpress.2003.ISBN 80-86732-08-8.
  • Dalgaard P. Introductory Statistics with R. Springer, 2002. ISBN 0-387-95475-9.
  • Everitt, B. S. An R and S-Plus Companion to Multivariate Analysis. Springer, 2005.
  • Faraway, J. Linear Models with R. Boca Raton : Chapman & Hall/CRC, FL, 2004. ISBN 1-584-88425-8.
  • Fox, J. An R and S-Plus Companion to Applied Regression. USA: Sage Publications, Thousand Oaks, CA., 2002.
  • FRIEBELOVÁ, J., KLICNAROVÁ, J. Rozhodovací modely pro ekonomy. EF JU, České Budějovice, 2007..
  • Gros, I. Kvantitativní metody v manažerském rozhodování.. Praha: Grada Publishing, 2003. ISBN 80-247-0421-8.
  • Heiberger, R. M., Holland, B. Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS. Springer Texts in Statistics. Springer, 2004. ISBN 0-387-40270-5.
  • Hendl, J. Přehled statistických metod zpracování dat.. Praha: Portál, 2006. ISBN 80-7367-123-9.
  • HILLIER F. S., LIEBERMAN G. J. Introduction to Operations Research.. New York: McGraw-Hill, 2010. ISBN 978-007-132483-0.
  • Maindonald, J., Braun, J. Data Analysis and Graphics Using R. Cambridge : Cambridge University Press, 2003. ISBN 0-521-81336-0.
  • Maňas, M. Teorie her a její aplikace. Praha, SNTL, 1991.
  • Meloun, M., Militký, J. Kompendium statistického zpracování dat. Praha : Academia. 982 s., 2006.
  • Mrkvička, Tomáš; Petrášková, Vladimíra. Úvod do statistiky. 1. vyd. České Budějovice : Jihočeská univerzita v Českých Budějovicích, 2006. ISBN 80-7040-894-4.
  • NEWBOLD, P., CARLSON, W, L., THORNE, B. Statistics for Business and Economics. Upper Saddle River : Pearson Prentice Hall, c2010, 2010. ISBN 978-0-13-507248.
  • Simonoff, J. S. Analyzing Categorical Data. New York: Springer, 2003.
  • Tvrdoň, J. Ekonometrie. Praha: ČZU, 2015. ISBN 978-80-213-0819-0.
  • Venables, W., N., Ripley, B.D. Modern Applied Statistics with S. New York : 4th ed, 2002. ISBN 0-387-95457-0.
  • Wooldridge, Jeffrey M. Introductory econometrics : a modern approach. Sixth edition, student edition. Boston : Cengage Learning, 2016. ISBN 978-1-305-27010-7.


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