| Course Unit Code | 151-0003/01 |
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| Number of ECTS Credits Allocated | 5 ECTS credits |
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| Type of Course Unit * | Compulsory |
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| Level of Course Unit * | First Cycle |
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| Year of Study * | Second Year |
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| Semester when the Course Unit is delivered | Summer 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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| HAN60 | prof. Ing. Jana Hančlová, CSc. |
| VRA31 | Ing. Blanka Bazsová, Ph.D. |
| VOL0133 | Ing. Jan Volný |
| Summary |
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| Learning Outcomes of the Course Unit |
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Students will make the acquaintance of foundation of organization control and running.
They will learn system approach to solving organization and strategic problems in an enterprise.
They will learn to see the whole picture of the problem.
They will be able to formulate, analyze and solve the problem on the real data.
They will be able to process and interpret information which are needed for company management. |
| Course Contents |
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1. Organization and management theory.
2. System approach, systems engineering, system analysis and synthesis. Fundamental terminology.
3. Organizing process on an enterprise level. Organization structures.
4. Organization problems and their solution. Importance of information in the process of solving problem.
5. Mental maps and SW tools supporting solving problem.
6. Proceedings and decision making. Strategic analyses - PEST and SWOT analyses.
7. Strategy formation. BSC method.
8. Efficiency evaluation in an organization - methods, tools, SW support.
9. Data organization - a structure of data sets, variables types, frequency table, charts.
10. Preparing the data file - screening and cleaning the data, coding values,
variables transformation. Practise using SPSS.
11. Descriptive statistics. Exploratory analysis, unusual values, using graphs to explore the data.
12. Hypothesis testing.
13. Simple linear regression - the principle, influential and outlying values, interpolation, extrapolation.
14. Practical tasks from data analysis.
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| Recommended or Required Reading |
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| Required Reading: |
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| ANDERSON, David Ray, Dennis J. SWEENEY a Thomas Arthur WILLIAMS. Modern business statistics with Microsoft Office Excel. 5th ed. Stamford: Cengage Learning, c2015. ISBN 978-1-305-08218-2. |
BAZSOVÁ, Blanka, KŘÍŽOVÁ, Anna, a Petr ŘEHÁČEK. Teorie organizace. Přístupy, metody, nástroje, softwarová podpora. Ostrava: VŠB-TU Ostrava, 2015. 176 s. ISBN 978-80-248-3790-1.
GRASSEOVÁ, Monika a kol. Analýza podniku v rukou manažera. 33 nejpoužívanějších metod strategického řízení. 2. vyd. Brno: Computer Press, 2012. 325 s. ISBN: 978-80-265-0032-2.
HENDL, Jan. Přehled statistických metod: analýza a metaanalýza dat. Páté, rozšířené vydání. Praha: Portál, 2015. ISBN 978-80-262-0981-2. |
| Recommended Reading: |
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| MCCORMICK, Keith, Jesus SALCEDO, Jon PECK a Andrew WHEELER. SPSS statistics for data analysis and visualization. Indianapolis: Wiley, [2017]. ISBN 978-1-119-00355-7. |
VYTLAČIL, Dalibor. Systémová analýza a syntéza. Praha: Nakladatelství ČVUT, 2007, s. 76. ISBN 978-80-01-03637-2.
DUCHOŇ, Bedřich a Jana ŠAFRÁNKOVÁ. Management. Integrace tvrdých a měkkých prvků řízení. Praha: C.H. Beck, 2008. 378 s. ISBN 978-80-7400-003-4.
HINDLS, Richard, Markéta ARLTOVÁ, Stanislava HRONOVÁ, Ivana MALÁ, Luboš MAREK, Iva PECÁKOVÁ a Hana ŘEZANKOVÁ. Statistika v ekonomii. Průhonice: Professional Publishing, 2018. ISBN 978-80-88260-09-7.
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| Planned learning activities and teaching methods |
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| Lectures, Individual consultations, 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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| Credit and Examination | Credit and Examination | 100 (100) | 51 |
| Credit | Credit | 45 | 23 |
| Examination | Examination | 55 | 21 |