Applications of mineral commodity forecasting

Type of study	Follow-up Master
Language of instruction	Czech
Code	545-0187/01
Abbreviation	APNK
Course title	Applications of mineral commodity forecasting
Credits	5
Coordinating department	Department of Economics and Control Systems
Course coordinator	RNDr. Radmila Sousedíková, Ph.D.

Subject syllabus

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

E-learning

The Moodle Learning Management System (lms.vsb.cz) is used for external communication of the teacher with students outside the class-room, as well as for communication among the students themselves.

Literature

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. .
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.

Advised literature

SOUSEDÍKOVÁ, R. Business Statistics [CD-ROM]. Ostrava: VŠB-Technická univerzita Ostrava, 2015. .
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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