118-0352/02 – Data Analysis in Regional Science (ADR)
| Gurantor department | Department of Regional and Environmental Economics | Credits | 5 |
| Subject guarantor | prof. Ing. Jan Sucháček, Ph.D. | Subject version guarantor | prof. Ing. Jan Sucháček, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 1 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2013/2014 | Year of cancellation | 2020/2021 |
| Intended for the faculties | EKF | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The goal is to master the basic systematic and methodological aspects of analysis and forecasts, focusing on specific regional analysis and methods and their preparation.
Teaching methods
Lectures
Tutorials
Terrain work
Summary
Mastering the basic systematic and methodological aspects of analysis and forecasts, focusing on specific regional analysis methods and their development is the essential prerequisites for the development of analytical and interpretive skills of students. Students will also orient themselves in analytical and forecasting approaches which are used mainly in the formation of regional policy and implementation of program activities for regional development. The purpose of exercises is to familiarize students with the basic regional science information data sources, with the methods of data collection and processing. Attention is then devoted to data analyzing by using basic statistical methods and to the development of interpretive skills of students.
Compulsory literature:
ANSELIN, L. Local indicators of spatial association - LISA. Geographical Analysis 27(2), 1995.
GETIS, A., ORD, J., K. The Analysis of Spatial Association by Use of Distance Statistics, Geographical Analysis, 1992, 24, 189-206
Recommended literature:
ANSELIN, L. Spatial Econometrics: Methods and Models. Dordrecht: Kluwer Academic Publishers, 1988.
BLONDEL, J. Comparative Government: An Introduction. New York: P. Allan Publishing, 1990.
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
Additional requirements for students not specified
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Quantitative Methods in regional science
2. Methods of data collection
3. Overview of information sources of data (regional, national accounts)
4. The concept and objective economic analysis and forecasts
5. Analysis of time series and business cycle analysis
6. Regional analysis
7. Forecasting
8. Regional disparities
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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