545-0154/01 – Applied statistics in mineral resources and mining industry (ASSP)
| Gurantor department | Department of Economics and Control Systems | Credits | 5 |
| Subject guarantor | RNDr. Radmila Sousedíková, Ph.D. | Subject version guarantor | RNDr. Radmila Sousedíková, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | HGF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
The student will acquire theoretical knowledge about basic procedures and methods of processing statistical files and apply them in the analysis of statistical data in the raw materials industry.
Teaching methods
Lectures
Individual consultations
Tutorials
Summary
After completing the course, students will be able to describe and analyze univariate statistical sets, data from sample surveys, perform regression and correlation analysis, and time series analysis. The analyses are performed on data on minerals and mining companies.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
semester project solved in exercises, written exam
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.
Other requirements
Participation in classes and fulfillment of individual or team assignments and requirements defined by the instructor during the semester, including potential independent projects and other activities specified by the lecturer.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Basic statistical concepts, classification of economic activities CZ-NACE
2. Methods of obtaining statistical data, statistical surveys
3. Elementary processing of statistical data - frequency distribution
4. Statistical graphs
5. Quantiles, elementary processing of technical and production indicators of a mining enterprise
6. Measures of position: application to wages in a mining enterprise
7. Measures of variability: application to wages in a mining enterprise
8. Point and interval estimates: estimates of ratio indicators of a mining enterprise
9. Testing of statistical hypotheses: testing ratio indicators of a mining enterprise
10. Regression analysis: application to analysis of costs of a mining enterprise
11. Correlation analysis: application to analysis of costs of a mining enterprise
12. Time series: basic characteristics of time series
13. Time series models, trend functions, analysis of the price trend of a selected commodity
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction