| Course Unit Code | 230-0305/01 |
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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 * | Second Cycle |
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| Year of Study * | First Year |
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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 | There are no prerequisites or co-requisites for this course unit |
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| Name of Lecturer(s) | Personal ID | Name |
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| PAL39 | RNDr. Radomír Paláček, Ph.D. |
| POS220 | Ing. Lukáš Pospíšil, Ph.D. |
| Summary |
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| The course builds on high school knowledge in the field of statistics and combinatorics. It is divided into three parts - programming in R language, basic statistical methods and advanced statistical methods. The aim is to deepen and enrich the knowledge of statistical methods with practical tasks and the ability to apply this knowledge by using the R language. |
| Learning Outcomes of the Course Unit |
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| The students should get acquainted with the main concepts of advanced statistical methods. Knowledge of the principles of work with programming language R. On completion of this course students will acquire knowledge of methods of Quantitative Risk Analysis and they learn Cluster analysis, Analysis of variance and methods of integrating functions of two variables. |
| Course Contents |
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1. Basic using of programming languuage R
2. Principles of the work in language R
3. Probability
4. Conditional Probability and Bayes' Theorem
5. Random variables
6. Failure Rates
7. Quantitative Risk Analysis
8. Event tree analysis
9. Cluster analysis
10. Analysis of variance (ANOVA)
11. Integrating Functions of Two Variables
12. Applications of Integration
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| Recommended or Required Reading |
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| Required Reading: |
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Doležalová, J. Pavelka, L.: Pravděpodobnost a statistika. Skriptum VŠB, Ostrava 2005. ISBN 80-248-0948-6.
Otipka, P. - Šmajstrla, V.: Pravděpodobnost a statistika. Skriptum VŠB-TU, Ostrava 2006. ISBN 80-248-1194-4. ( http://www.studopory.vsb.cz/studijnimaterialy/past/past.pdf )
http://mdg.vsb.cz/portal/en/Statistics1.pdf |
Doležalová, J. Pavelka, L.: Pravděpodobnost a statistika. Skriptum VŠB, Ostrava 2005. ISBN 80-248-0948-6.
Otipka, P. - Šmajstrla, V.: Pravděpodobnost a statistika. Skriptum VŠB-TU, Ostrava 2006. ISBN 80-248-1194-4. ( http://www.studopory.vsb.cz/studijnimaterialy/past/past.pdf )
http://mdg.vsb.cz/portal/m3/index.php |
| Recommended Reading: |
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Meloun, M. -- Militký, J. Kompendium statistického zpracování dat: metody a řešené úlohy, Praha, Academia, 2006, 80-200-1396-2
Andrew C. Harvey. Time Series Models. Harvester wheatsheaf, 1993. |
Meloun, M. -- Militký, J. Kompendium statistického zpracování dat: metody a řešené úlohy, Praha, Academia, 2006, 80-200-1396-2
Andrew C. Harvey. Time Series Models. Harvester wheatsheaf, 1993. |
| 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 | 20 | 5 |
| Examination | Examination | 80 (80) | 30 |
| Písemná zkouška | Written examination | 60 | 25 |
| Ústní zkouška | Oral examination | 20 | 5 |