Z7890 Methods and Techniques in Regional and Social Geography

Faculty of Science
autumn 2021
Extent and Intensity
0/2/0. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
RNDr. Petr Daněk, Ph.D. (seminar tutor)
Mgr. Ondřej Mulíček, Ph.D. (seminar tutor)
RNDr. Jakub Trojan, MSc, Ph.D. (seminar tutor)
Guaranteed by
Mgr. Ondřej Mulíček, Ph.D.
Department of Geography – Earth Sciences Section – Faculty of Science
Contact Person: Mgr. Ondřej Mulíček, Ph.D.
Supplier department: Department of Geography – Earth Sciences Section – Faculty of Science
Timetable of Seminar Groups
Z7890/01: Thu 15:00–16:50 Z5,02004, P. Daněk, O. Mulíček, J. Trojan
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to acquaint students with the frequently used methods of data collection and analysis and to present the application of these methods on specific examples of the realized research. Attention is paid to methods of multidimensional statistical analysis, prediction methods (especially population projections), techniques of working with big data sets, but also to techniques of facilitating and managing the project cycle. The student will gain a deeper knowledge of methods and techniques used in human geography and will be able to decide on the use of appropriate methods for answering the questions.
The course is practically focused, attention is paid to the most important applications used in regional and social geography. The main aim of the course is to analyze and discuss the application of multidimensional statistical analysis methods, prediction methods (especially population projections), techniques of working with big data sets and methods of creating strategic territorial documents. At the end of the course, the graduate will acquire the skills required for managers in the regional development departments of the regional authorities or the Ministry for Regional Development of the Czech Republic.
Learning outcomes
Student completing the course will be able to use:
- methods of multidimensional statistical analysis;
- prediction methods (especially population projections);
- big data techniques;
- techniques of facilitating and managing the project cycle.
Syllabus
  • 1) Introductory lecture: methodological transformations of human geography
  • 2) Creation of strategic and development documents at the local and regional level - methodological procedures, practical examples
  • 3) The project cycle of ESI funds from the preparation of the request for data archiving support
  • 4) Prediction methods of population development 1 (cohort-component method)
  • 5) Prediction methods of population development 2 (other methods)
  • 6) Multidimensional analysis methods - analysis of main components, factor analysis
  • 7) Multidimensional analysis methods - cluster analysis, discriminant analysis
  • 8) Examples of use of multiple regression analysis
  • 9) Working with big data sets - basic principles and starting points, examples of data
  • 10) Working with big data sets - SQL, summaries, selections, data filtering, database merging
  • 11) Data acquisition in terrain using the questionnaire survey method: examples of conducted research
Literature
  • ALEŠ, Bednařík. Facilitace : jak vést skupinová setkání? Kladno: Aisis, 2008. info
  • HERNANDEZ, Michael J. and John VIESCAS. Myslíme v jazyku SQL : tvorba dotazů. 1. vyd. Praha: Grada, 2004, 378 s. ISBN 802470899X. info
  • Practising human geography. Edited by Paul J. Cloke. 1st pub. London: SAGE Publications, 2004, xvi, 416. ISBN 0761973001. info
  • ROWLAND, D. T. Demographic methods and concepts. 1st ed. Oxford: Oxford University Press, 2003, xiv, 546. ISBN 0198752636. info
Teaching methods
lectures,
class discussion,
examples of geographical practices
solving of practical tasks
small individual projects
Assessment methods
During the semester independently work is required after the students. This is a calculation of the population development prediction and the solving of other minor tasks, where methodological procedures are applied. The assessment of the course is based on the quality of these tasks.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (autumn 2021, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2021/Z7890