151-0551/01 – Analysis of Economic Information (AEI a)
| Gurantor department | Department of Mathematical Methods in Economics | Credits | 4 |
| Subject guarantor | doc. Ing. Václav Friedrich, Ph.D. | Subject version guarantor | doc. Ing. Václav Friedrich, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | winter |
| | Study language | English |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | EKF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
The main aim of the course "Analysis of Economic Information" is to introduce students into the basic methods of creation, identification and analysis of economic statistical indicators and their interconnection. The course is based on two important types of statistical indicators, which are indexes and time series.
Upon successful completion of this course, students will acquire the following knowledge, skills and abilities:
• They will learn the methodology of economic indicators used in the state statistics of the Czech Republic and in international statistics.
• They will be able to express the temporal and spatial changes of economic indicators in the form of indexes and analyse them in Microsoft Excel.
• They will practice the basic methods of designing and developing forecasting scenarios.
• They will also get acquainted with basic types of economic time series and selected methods of their analysis in IBM SPSS Statistics.
Teaching methods
Lectures
Individual consultations
Tutorials
Project work
Summary
In economic analyses, we often encounter the need to evaluate and compare economic phenomena using appropriate indicators. These tools are provided by the area of statistics, called economic and social statistics.
The course "Economic Information Analysis" introduces students to basic methods of economic information analysis using two economic statistics tools: indexes and time series. Students will also get acquainted with the current Czech system of economic and social statistics indicators and its links to the harmonized system within the EU.
Microsoft Excel and IBM SPSS Statistics software tools are used in this course. Individual topics are trained on particular practical examples and tasks.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
The course is concluded with a classified credit. During the semester, students perform the credit tasks:
- Introductory test on the basics of statistics
- The creation of forecast with several future development scenarios.
- Processing and submission of the research project
All credit assignments have compulsory deadlines.
E-learning
- The subject is supported by an interactive course in LMS Moodle.
- Ongoing tasks are submitted and assessed via LMS Moodle.
Other requirements
- Knowledge of statistics at undergraduate level (e.g. Statistics for Economists).
- Working with Microsoft Excel at a basic level.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. System of economic and social statistical indicators of the Czech Republic.
2. Data processing from public databases of the CZSO and MF CR.
3. Individual simple and compound indices.
4. Summary indices, analysis of heterogeneous data.
5. Price and volume indices in economic practice.
6. Spatial comparison indices.
7. Selected subjective methods of forecasting.
8. Future development scenarios, scenario creation.
9. Time series and their basic properties.
10. Basic methods of time series trend modelling.
11. Exponential time series balancing.
12. Boxing-Jenkins methodology (ARIMA).
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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