| Course Unit Code | 153-0062/01 |
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| Number of ECTS Credits Allocated | 2 ECTS credits |
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| Type of Course Unit * | Choice-compulsory type B |
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| Level of Course Unit * | First Cycle |
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| Year of Study * | |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| VAV0195 | PhDr. Roman Vavrek, PhD. |
| Summary |
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| The course is focused on acquiring knowledge and getting acquainted with the terminology of qualitative and quantitative research. The aim of the course is to prepare the student in terms of methodology so that she/he would be able to prepare a methodological plan of her/his own research (final thesis) and then interpret the results obtained. |
| Learning Outcomes of the Course Unit |
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| The student will get acquainted with the issues of quantitative and qualitative research. She/He will be able to work with professional literature and use it correctly in her/his own text. The student will learn how to define a research sample, research questions, research hypotheses, and research aim. She/He will also be able to process the necessary data, interpret them graphically and statistically, and evaluate a simple questionnaire survey. |
| Course Contents |
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| xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx |
| Recommended or Required Reading |
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| Required Reading: |
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BARROW, Michael. Statistics for economics, accounting and business studies. Harlow: Pearson Education, 2017. ISBN 978-1-292-11874-1.
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HINDLS, R. a kol. Statistika v ekonomii. Praha: Professional Publishing, 2018. ISBN.978-80-88260-09-7.
PACÁKOVÁ, Viera a kol. Štatistické metódy pre ekonómov. Bratislava: Iura Edition, 2009. ISBN 978-80-8078-284-9.
HEBÁK, Petr. Statistické myšlení a nástroje analýzy a dat. Praha: Informatorium, 2015. ISBN 978-80-7333-118-4.
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| Recommended Reading: |
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MOORE, S. David et al. The Practice of Statistics for Business and Economics. New York: W. H. Freeman and Company, 2011. ISBN 978-1-4292-3281-4.
FERNANDES, Marcelo. Statistics for Business and Economics. Erie: Ventus Publishing, 2009. ISBN 978-1-4292-3281-4. |
ANDĚL, Jiří. Statistické metody. Praha: MatfyzPress, 2019. ISBN 978-80-7378-381-5.
ŘEZANKOVÁ, Hana, LOSTER, Tomáš a Zdeněk ŠULC. Úvod do statistiky, 2019. ISBN 978-80-245-2301-9.
BUDÍKOVÁ, Marie, KRÁLOVÁ, Maria a Bohumil Maroš. Průvodce základními statistickými metodami. Praha: Grada, 2010. ISBN 978-80-247-3243-5. |
| Planned learning activities and teaching methods |
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| Lectures, Tutorials |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Graded credit | Graded credit | 100 (100) | 51 |
| Test | Written test | 100 | 51 |