Forecasting in the raw materials industry
| Type of study | Bachelor |
|---|---|
| Language of instruction | Czech |
| Code | 545-0229/01 |
| Abbreviation | PSP |
| Course title | Forecasting in the raw materials industry |
| Credits | 5 |
| Coordinating department | Department of Economics and Control Systems |
| Course coordinator | RNDr. Radmila Sousedíková, Ph.D. |
Subject syllabus
1. The Importance of Forecasting
2. Basic Concepts
3. Forecasting and Decision Making
4. Classification of Forecasts
5. Forecasting Methods
6. Qualitative Forecasting Methods
7. Quantitative Forecasting Methods
8. Extrapolation Methods
9. Regression and Correlation Methods
10. Exponential Smoothing and Moving Averages
11. Global Forecasts in the Field of Raw Materials
12. Forecasts of Production and Consumption of a Selected Mineral Commodity
13. Forecast of the Price of a Mineral Commodity
2. Basic Concepts
3. Forecasting and Decision Making
4. Classification of Forecasts
5. Forecasting Methods
6. Qualitative Forecasting Methods
7. Quantitative Forecasting Methods
8. Extrapolation Methods
9. Regression and Correlation Methods
10. Exponential Smoothing and Moving Averages
11. Global Forecasts in the Field of Raw Materials
12. Forecasts of Production and Consumption of a Selected Mineral Commodity
13. Forecast of the Price of a Mineral Commodity
E-learning
For communication beyond in-person lectures and exercises, the Moodle learning management system (lms.vsb.cz) is used. This platform facilitates communication not only between the instructor and students but also among students themselves.
Literature
U.S. Geological Survey, Metals and minerals: U.S. Geological Survey Minerals Yearbook, v. I. Online. Dostupné z: https://www.usgs.gov/centers/national-minerals-information-center/minerals-yearbook-metals-and-minerals
HYNDMAN, Rob J. a ATHANASOPOULOS, George. Forecasting: principles and practice. Second edition. [Melbourne]: OTexts, 2018. ISBN 978-0-9875071-1-2.
MONTGOMERY, Douglas C.; JENNINGS, Cheryl L. a KULAHCI, Murat. Introduction to time series analysis and forecasting. Second edition. Wiley series in probability and statistics. Hoboken, New Jersey: Wiley, 2015. ISBN 978-1-118-74511-3 .
TETLOCK, Philip a GARDNER, Dan. Superforecasting: the art and science of prediction. New York: BDWY, Brodway Books, [2015]. ISBN 978-0-8041-3671-6 .
HYNDMAN, Rob J. a ATHANASOPOULOS, George. Forecasting: principles and practice. Second edition. [Melbourne]: OTexts, 2018. ISBN 978-0-9875071-1-2.
MONTGOMERY, Douglas C.; JENNINGS, Cheryl L. a KULAHCI, Murat. Introduction to time series analysis and forecasting. Second edition. Wiley series in probability and statistics. Hoboken, New Jersey: Wiley, 2015. ISBN 978-1-118-74511-3 .
TETLOCK, Philip a GARDNER, Dan. Superforecasting: the art and science of prediction. New York: BDWY, Brodway Books, [2015]. ISBN 978-0-8041-3671-6 .
Advised literature
CARRARA, Samuel; BOBBA, Silvia; BLAGOEVA, Darina; ALVES DIAS, Patricia and CAVALLI, Alessandro et al. Supply chain analysis and material demand forecast in strategic technologies and sectors in the EU – A foresight study. Online, PDF. Luxembourg: Publications Office of the European Union, 2023. Dostupné z: https://doi.org/10.2760/386650, JRC132889.
CARLBERG, Conrad George. Predictive analytics: Microsoft Excel. Second edition. Conrad Carlberg's Microsoft Excel analytics series. Indianapolis, Indiana: Que, 2018] ISBN 978-0-7897-5835-4.
GILLILAND, Michael; TASHMAN, Len a SGLAVO, Udo (ed.). Business forecasting: the emerging role of artificial intelligence and machine learning. Wiley and SAS business series. Hoboken, New Jersey: Wiley, 2021. ISBN 978-1-119-78247-6.
WOODWARD, Wayne A.; SADLER, Bivin Philip a ROBERTSON, Stephen D. Time series for data science: analysis and forecasting. Chapman & Hall/CRC texts in statistical science series. Boca Raton: CRC Press, Taylor & Francis Group, 2022. ISBN 978-0-367-54389-1.
CARLBERG, Conrad George. Predictive analytics: Microsoft Excel. Second edition. Conrad Carlberg's Microsoft Excel analytics series. Indianapolis, Indiana: Que, 2018] ISBN 978-0-7897-5835-4.
GILLILAND, Michael; TASHMAN, Len a SGLAVO, Udo (ed.). Business forecasting: the emerging role of artificial intelligence and machine learning. Wiley and SAS business series. Hoboken, New Jersey: Wiley, 2021. ISBN 978-1-119-78247-6.
WOODWARD, Wayne A.; SADLER, Bivin Philip a ROBERTSON, Stephen D. Time series for data science: analysis and forecasting. Chapman & Hall/CRC texts in statistical science series. Boca Raton: CRC Press, Taylor & Francis Group, 2022. ISBN 978-0-367-54389-1.