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Lecturer(s)
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Pojkarová Kateřina, Ing. Ph.D.
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Course content
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Descriptive statistics. Regress analysis, smallest squares methodology. Correlation analysis. Time series analysis, basic characteristics of the time series. Trend part and adaptive models of time series. Seasonal and random part, correlation of the time series. Indicators and basic operation with indicators. Consumer price indexes. Financial analysis of the company. Infinite games.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Projection, Skills training, Graphic and art activities, Stimulating activities (simulation, games, drama)
- Preparation for a credit (assessment)
- 30 hours per semester
- Writing a seminar paper
- 8 hours per semester
- Individual project
- 20 hours per semester
- Preparation of a presentation (report)
- 4 hours per semester
- Contact teaching
- 50 hours per semester
- Home preparation for classes
- 10 hours per semester
- Preparation for an exam
- 20 hours per semester
- Independent critical reading
- 4 hours per semester
- Data/material collection
- 4 hours per semester
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Learning outcomes
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The aim of the subject is acquaint students with new principles and the information which is needed for drive and decision making in entrepreneurial environment. On examples explain of using of indexes, financial analysis and statistical methods.
Student is able to use data and work with them, know how to use indexes, how to decsribe relations between indicators, understands times series and financial analysis.
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Prerequisites
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Students should know economic theory, mathematics, statistics and accounting.
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Assessment methods and criteria
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Oral examination, Written examination, Student performance assessment, Oral performance analysis, Creative work analysis, Discussion
The student must approve knowledge during semester and at the final examination, not only in the area of technical security, but especially processing and utilization of dates, especially using of efficient methods and methodologies. The tutor will notify the concrete requirements to the students within the first week of the term.
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Recommended literature
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Hindls, Richard. Metody statistické analýzy pro ekonomy. Praha: Management Press, 1997. ISBN 80-85943-44-1.
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Hindls, Richard. Statistika pro ekonomy. Praha: Professional Publishing, 2003. ISBN 80-86419-34-7.
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Hušek, Roman. Ekonometrická analýza. Praha: Ekopress, 1999. ISBN 80-86119-19-X.
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Jarošová, E., Arltová, M. Statistika B - řešené příklady. Praha, 1999.
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Kislingerová, Eva. Manažerské finance. Praha: C.H. Beck, 2010. ISBN 978-80-7400-194-9.
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McCHESNEY. CH., COVEY, S., HULING, J. 4 disciplíny realizace. London, 2012.
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Pojkarová, Kateřina. Analýza řídící a podnikatelské činnosti : studijní opora. Pardubice: Univerzita Pardubice, 2013. ISBN 978-80-7395-607-3.
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Pojkarová, Kateřina. Ekonometrie a prognostika v dopravě : studijní opora. Pardubice: Univerzita Pardubice, 2013. ISBN 978-80-7395-585-4.
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Scholleová, Hana. Ekonomické a finanční řízení pro neekonomy : účetní výkazy a co v nich najdeme, způsoby financování podniku, řízení zásob, pohledávek, závazků a cash flow, investice a jejich efektivita, finanční analýza a poměrové ukazatele. Praha: Grada, 2008. ISBN 978-80-247-2424-9.
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Sinek, Simon. Nekonečná hra . Brno: Jan Melvil Publishing, 2021. ISBN 978-80-7555-136-8.
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Sinek, Simon. Začněte s proč . Brno: Jan Melvil, 2013. ISBN 978-80-87270-55-4.
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Souček, Eduard. Základy statistiky. Pardubice: Univerzita Pardubice, 2000. ISBN 80-7194-279-0.
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SYNEK, M. a kol.:. Manažerská ekonomika. Praha: Grada Publishing, 2003. ISBN 802470515X.
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Vorbová, Helena. Výkaz cash flow a finanční analýza. Praha: Linde, 1999. ISBN 80-86131-09-2.
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Zapletal, Josef. Úvod do analýzy ekonomických časových řad. Brno: PC-DIR Real, 2000. ISBN 80-214-1719-6.
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