| Course Unit Code | 545-0187/01 |
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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 | 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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| SOU70 | RNDr. Radmila Sousedíková, Ph.D. |
| Summary |
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| The course introduces methods of analysis and forecasting of production, consumption and prices of minerals, the acquired knowledge is applied to estimate the prices of selected critical raw materials. Student has knowledge of critical raw materials of the EU and the Czech Republic, basic forecasting methods, methods of time series analysis and factors influencing the formation of mineral commodity prices. Student is able to apply the acquired theoretical knowledge in the analysis of production, consumption and prices of selected mineral commodities, use Microsoft Excel for the analysis of time series of mineral commodities. Student is able to make a basic prediction of production, consumption and prices of selected mineral commodities. |
| Learning Outcomes of the Course Unit |
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| Student has knowledge of critical raw materials of the EU and the Czech Republic, basic forecasting methods, methods of time series analysis and factors influencing the formation of mineral commodity prices. Student is able to apply the acquired theoretical knowledge in the analysis of production, consumption and prices of selected mineral commodities, use Microsoft Excel for the analysis of time series of mineral commodities. Student is able to make a basic prediction of production, consumption and prices of selected mineral commodities. |
| Course Contents |
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1. Critical and strategic raw materials of the EU and the Czech Republic
2. Sources of information on supply, demand and prices of mineral commodities
3. Prognostic methods
4. Analysis of time series trends
5. Forecasting the development of the supply of mineral commodities
6. Forecasting the development of demand for mineral commodities
7. Forecasting the development of mineral commodity prices
8. Factors influencing the formation of mineral commodity prices
9. Forecast of lithium price development
10. Forecast of niobium price development
11. Forecast of kaolin price development
12. Forecast of uranium price development
13. Forecast of fluorite price development
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| Recommended or Required Reading |
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| Required Reading: |
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MC CLAVE, James T., George P. BENSON and Terry SINCICH. Statistics for Business and Economics. 12th ed. Upper Saddle River, New Jersey: Prentice Hall, 2014. ISBN 9781292023298.
HYNDMAN, Rob J. and George ATHANASOPOULOS. Forecasting: principles and practice. 2nd edition. Melbourne: OTexts, 2018. ISBN 978-0-9875071-1-2.
Critical raw materials [online]. Available from: https://ec.europa.eu/growth/sectors/raw-materials/specific-interest/critical_en
ANDERSON, David Ray, Dennis J. SWEENEY and Thomas Arthur WILLIAMS. Modern business statistics with Microsoft Office Excel. 5th ed. Stamford: Cengage Learning, 2015. ISBN 978-1-305-08218-2. |
ŠTĚDROŇ, Bohumír. Prognostické metody a jejich aplikace. Praha: C.H. Beck, 2012. ISBN 978-80-7179-174-4
HINDLS, Richard et al. Statistika v ekonomii. Průhonice: Professional Publishing, 2018. ISBN 978-80-88260-09-7
Critical raw materials [online]. Dostupné z: https://ec.europa.eu/growth/sectors/raw-materials/specific-interest/critical_en
MC CLAVE, James T., George P. BENSON and Terry SINCICH. Statistics for Business and Economics. 12th ed. Upper Saddle River, New Jersey 07458: Prentice Hall, 2014. 1016 pp. ISBN 9781292023298. |
| Recommended Reading: |
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SOUSEDÍKOVÁ, R. Business Statistics [CD-ROM]. Ostrava: VŠB-Technická univerzita Ostrava, 2015. ISBN 978-80-248-3660-7.
MAISEL, Lawrence and Gary COKINS. Predictive business analytics: forward-looking capabilities to improve business performance. Hoboken: Wiley, 2014. ISBN 978-1-118-17556-9.
Mineral Commodity summaries of the Czech Republic 2019. Czech Geological Survey. Available from: http://www.geology.cz/extranet-eng/publications/online/mineral-commodity-summaries/mineral%20-commodity-summaries-2019.pdf
LIU, Lon-Mu. Time series analysis and forecasting. 2nd ed. Villa Park: Scientific Computing Associates, 2006. ISBN 0-9765056-6-5.
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HINDLS, Richard et al. Statistika pro ekonomy. 8. vyd. Praha: Professional Publishing, 2007. 415s. ISBN 978-80-86946-43-6.
Surovinové zdroje ČR – nerostné suroviny [online]. Česká geologická služba, 2019. Dostupné z: http://www.geology.cz/extranet/publikace/online/surovinove-zdroje/surovinove-zdroje-ceske-republiky-2019.pdf
SOUSEDÍKOVÁ, R. Business Statistics [CD-ROM]. Ostrava: VŠB-Technická univerzita Ostrava, 2015. 125 s. ISBN 978-80-248-3660-7. |
| Planned learning activities and teaching methods |
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| Lectures, Tutorials, Project work |
| 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 | 30 (30) | 17 |
| semestrální projekt | Semestral project | 30 | 17 |
| Examination | Examination | 70 (70) | 34 |
| písemná zkouška | Written examination | 70 | 34 |