| Course Unit Code | 548-0086/01 |
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| Number of ECTS Credits Allocated | 2 ECTS credits |
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| Type of Course Unit * | Compulsory |
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| Level of Course Unit * | First Cycle |
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| Year of Study * | Second Year |
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| Semester when the Course Unit is delivered | Summer Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| IVA026 | prof. Ing. Igor Ivan, Ph.D. |
| Summary |
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| The main aim of this course is to solve practical problems using the knowledge gained so far from previous courses. A few practical projects will be assigned during this course to students dealing with different aspects of the real world. These projects will be solved by students who create several project teams. One of problems will be solved collectively with the support of the teacher. The rest of projects will be divided between research teams. They will solve it separately with occasional consultations with the teacher. The whole process will be solved starting with the analyses of problems, selecting appropriate data sources, collecting these data sources (including communications by phone and emails with virtual data providers), pre-processing and processing of data and finally with presentations of results. The realisation will be finished by presentation of results, by defending of the results in front of the client and by completing the final report. |
| Learning Outcomes of the Course Unit |
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- student proves the knowledge of:
• complex solving of problems
• collaborative work
- student knows how to:
• analyse a problem
• apply gained knowledge from another passed subjects to actual problem
• do a synthesis from results gained from particular analytical approaches
- student is able to:
• comprehensively assess the intensity of a given task – the need of knowledge, geodata, methodology, software etc.
• review the literature
• obtain the necessary data
• interpret the results
• present the work |
| Course Contents |
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1) Project proposals
2) Project analysis
3) Plan of solution of the project
4) Collecting of data and geodata
5) Pre-processing and processing of data, data analyses
6) Creation of the presentation and the final report
7) Presentation of results of the project |
| Recommended or Required Reading |
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| Required Reading: |
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FLOWERDEW, R., MARTIN, D. (eds.) (2005): Methods in Human Geography: A Guide for Students Doing a Research Project. Prentice Hall, 392 p.
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FLOWERDEW, R., MARTIN, D. (eds.) (2005): Methods in Human Geography: A Guide for Students Doing a Research Project. Prentice Hall, 392 p.
PUNCH, K. F. (2008): Základy kvantitativního šetření. Praha: Portál, 152 stran.
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| Recommended Reading: |
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SMITH, M. J.: Statistical Analysis Handbook [online]. Dostupné z: <http://www.statsref.com>.
SMITH, M. J., GOODCHILD, M. F., LONGLEY, P. A. (2006): Geospatial Analysis, Troubador Publishing Ltd., 414 p. Dostupné z: <http://www.spatialanalysisonline.com>.
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HENDL, J. (2006): Přehled statistických metod. Praha: Portál, 696 stran.
HENDL, J. (2008): Kvalitativní výzkum: základní teorie, metody a aplikace. 2. vydání, Praha: Portál, 407 stran.
SMITH, M. J.: Statistical Analysis Handbook [online]. Dostupné z: <http://www.statsref.com>.
SMITH, M. J., GOODCHILD, M. F., LONGLEY, P. A. (2006): Geospatial Analysis, Troubador Publishing Ltd., 414 p. Dostupné z: <http://www.spatialanalysisonline.com>.
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| Planned learning activities and teaching methods |
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| Tutorials |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Graded exercises evaluation | Graded credit | 100 | 51 |