118-0316/03 – Data Analysis in Regional Science A (ADARA)

Gurantor departmentDepartment of Regional and Environmental EconomicsCredits4
Subject guarantordoc. Ing. Alois Kutscherauer, CSc.Subject version guarantorRNDr. Ivan Šotkovský, Ph.D.
Study levelundergraduate or graduate
Study languageCzech
Year of introduction2009/2010Year of cancellation2011/2012
Intended for the facultiesEKFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
ADA237 Ing. Jiří Adamovský
S1O70 RNDr. Ivan Šotkovský, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit 1+3

Subject aims expressed by acquired skills and competences

To acquaint students with the methods of data collection and basic information resources data for the regions will also be attention paid to the analysis of those data using basic statistical methods and presentation results. The course is practically oriented and the emphasis on working with real data. Students during the semester, develop a case study for a specified region which will be presented separately at the end. The teaching will be working in program MS-Excel and SPSS.

Teaching methods

Lectures
Tutorials

Summary

Cílem předmětu je seznámit studenty s metodami sběru dat a se základními informačními zdroji dat za regiony Dále bude pozornost věnována analýze výše uvedených dat pomocí základních statistických metod a následné prezentaci výsledků. Předmět je orientován prakticky a klade důraz na práci s reálnými daty. Studenti během semestru vypracují případovou studii pro zadaný region, kterou budou na závěr samostatně prezentovat. Při výuce se bude pracovat v programovém prostředí MS-Excel a SPSS

Compulsory literature:

Norušic, M.J. SPSS 10.0: Guide to Data Analysis. New Jersey: Prentice Hall. 2000. ISBN 0-13-029204-4.

Recommended literature:

Meloun, M. – Militký, J. (2002). Kompendium statistického zpracování experimentálních dat. Praha: Academia. ISBN 80-200-1008-4

Way of continuous check of knowledge in the course of semester

E-learning

Other requirements

další požadavky na studenta

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1 Quantitative Methods in regional science. Methods of data collection. 2 Overview of information sources of data (regional, national accounts) and the regional structure descriptors (RHDP, etc.). 3 Basic classifications and nomenclatures and international standards (NACE, ISCO, NUTS) 4 Basics of working with regional descriptors (statistical and graphic description) 5 Creating Graphs 6 Analysis of the relationship between descriptors of regions 1 (correlation analysis) 7 Analysis of the relationship between descriptors of two regions (regression analysis) 8 Development of Regions 1 (time series analysis), decomposition time series 9 Development of Regions 2 (estimates of trend functions) 10 Methods of prediction descriptors 11 Analysis of data from the survey research. 12 Creation of PowerPoint presentation 13 Results presentation

Conditions for subject completion

Full-time form (validity from: 2009/2010 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Exercises evaluation Credit 85  85 3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2011/2012 (N6202) Economic Policy and Administration (6202T040) Regional Development (00) Regional Development P Czech Ostrava Choice-compulsory study plan
2010/2011 (N6202) Economic Policy and Administration (6202T040) Regional Development (00) Regional Development P Czech Ostrava 1 Choice-compulsory study plan
2009/2010 (N6202) Economic Policy and Administration (6202T040) Regional Development (00) Regional Development P Czech Ostrava 1 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

Předmět neobsahuje žádné hodnocení.