118-0352/02 – Data Analysis in Regional Science (ADR)

Gurantor departmentDepartment of Regional and Environmental EconomicsCredits5
Subject guarantorprof. Ing. Jan Sucháček, Ph.D.Subject version guarantorprof. Ing. Jan Sucháček, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageCzech
Year of introduction2013/2014Year of cancellation
Intended for the facultiesEKFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
KUT21 doc. Ing. Alois Kutscherauer, CSc.
URM003 Ing. Jaroslav Urminský
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

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

Další požadavky na studenta

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

Full-time form (validity from: 2014/2015 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 45  25
        Examination Examination 55 (55) 26
                Písemná část zkoušky Written test 30  18
                Ústní část část zkoušky Oral examination 25  8
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2017/2018 (N6202) Economic Policy and Administration (6202T040) Regional Development P Czech Ostrava 1 Compulsory study plan
2016/2017 (N6202) Economic Policy and Administration (6202T040) Regional Development P Czech Ostrava 1 Compulsory study plan
2015/2016 (N6202) Economic Policy and Administration (6202T040) Regional Development P Czech Ostrava 1 Compulsory study plan
2014/2015 (N6202) Economic Policy and Administration (6202T040) Regional Development P Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner
Subject block without study plan - EKF - P - cs 2018/2019 Full-time Czech Optional EKF - Faculty of Economics stu. block