Course: GeoSpatial Summer School

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Course title GeoSpatial Summer School
Course code KGI/G3SEN
Organizational form of instruction Exercise
Level of course Master
Year of study not specified
Semester Winter and summer
Number of ECTS credits 5
Language of instruction English
Status of course Compulsory-optional, Optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Voženílek Vít, prof. RNDr. CSc.
  • Pászto Vít, Mgr. Ph.D.
Course content
geoinformation project workflow data collection data management data analyses geovisualisation free and open source software self-guided practice

Learning activities and teaching methods
Lecture
Learning outcomes
Recent progress in (geo)sciences in the field of open source and free geospatial software and data has increased demands on knowledge and skills about data collection and quality, geospatial analyses, geovisualisation, and dissemination. The GeoSpatial Summer School (G3S) primary focus is to provide and transfer new geosciences skills, techniques and knowledge from scholars/experts to the students. The summer schools offer a unique opportunity for the encounter of students, scholars, and experts in the field of geospatial open source technologies and data. The summer schools are designed to guide students through the entire process of geoinformation project workflow - from data collection, data management, spatial analyses, geovisualisation, to modern presentation of the results. It strives to establish a platform for participants to bring their experiences, ideas, data and projects to share, work, present and discuss it.
The students will acquire following competences : - the geoinformation project workflow - from data collection, data management, through data analyses and visualisation to presentation of the results. - the use of free and open source software and data (with the use of OSGeo-live compact package).
Prerequisites
fundamental knowledge and skill in GI science and technologies ability to read, understand, speak, present and discuss in English

Assessment methods and criteria
Student performance

active participation in practical simulation exercise in English; understanding of spatial thinking, experience of work with geospatial data, basic skill with GIS and other geospatial technologies
Recommended literature
  • Longley, P. A., Goodchild, M. F., Maguire, D. J., Rhind, D. M. (2015). Geographic Information Systems and Science, 4th edition. London: Wiley&Sons.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Geoinformatics and Cartography (2020) Category: Geography courses - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Geoinformatics and Cartography (2020) Category: Geography courses 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Geoinformatics and Cartography (2020) Category: Geography courses - Recommended year of study:-, Recommended semester: Summer