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Lecturer(s)
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Trojan Jakub, RNDr. MSc, Ph.D.
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Lehejček Jiří, Mgr. Ing. Ph.D.
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Valášek Pavel, Ing.
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Course content
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- Introduction to "open data" - the meaning of open data, types, values. - Impact of open data on society, innovations, opportunities and benefits of open (spatial) data. - Data licensing and handling. - Quality and relevance of open data. - Digital security of open data and information sharing. - Big data and security of their use, data in cyberspace. - Open data policy in the Czech Republic, EU in the world, legislative and other legal regulations. - Overview of institutions and their approaches to information and spatial data, conditions of their acquisition and utilization. - Data portals, mapservers and other sources of open data. - Data types and formats of open data. - Technical means for processing and visualization of open spatial data - information systems, office tools. - Technical means for processing and visualization of open spatial data - geographic information systems and other tools of spatial visualization. - Citizen science and its role in obtaining open data. - Open data project within a selected city - a case study.
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Learning activities and teaching methods
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- Participation in classes
- 8 hours per semester
- Home preparation for classes
- 14 hours per semester
- Term paper
- 28 hours per semester
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| prerequisite |
|---|
| Knowledge |
|---|
| No specific requirements |
| No specific requirements |
| Skills |
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| No specific requirements |
| No specific requirements |
| learning outcomes |
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| Knowledge |
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| Understand the concepts and principles of open spatial data and its use in various fields. |
| Understand the concepts and principles of open spatial data and its use in various fields. |
| Describe the legal and ethical considerations related to open spatial data and its use. |
| Describe the legal and ethical considerations related to open spatial data and its use. |
| Identify different spatial data formats and standards and their importance in digital security. |
| Identify different spatial data formats and standards and their importance in digital security. |
| Describe techniques and tools for securing open spatial data and protecting privacy. |
| Describe techniques and tools for securing open spatial data and protecting privacy. |
| Describe methods for collecting, processing and publishing open spatial data. |
| Describe methods for collecting, processing and publishing open spatial data. |
| Skills |
|---|
| Collect, search and evaluate open spatial data from a variety of sources. |
| Collect, search and evaluate open spatial data from a variety of sources. |
| Process and transform open spatial data into usable formats and structures. |
| Process and transform open spatial data into usable formats and structures. |
| Create and manage spatial databases and geographic information systems (GIS) for open spatial data. |
| Create and manage spatial databases and geographic information systems (GIS) for open spatial data. |
| Analyse open spatial data using a variety of methods and techniques such as spatial analysis and visualisation. |
| Analyse open spatial data using a variety of methods and techniques such as spatial analysis and visualisation. |
| Identify security risks associated with open spatial data and assess their vulnerabilities. |
| Identify security risks associated with open spatial data and assess their vulnerabilities. |
| teaching methods |
|---|
| Knowledge |
|---|
| Individual work of students |
| Individual work of students |
| Teamwork |
| Teamwork |
| Lecturing |
| Lecturing |
| Skills |
|---|
| Lecturing |
| Lecturing |
| Teamwork |
| Teamwork |
| Individual work of students |
| Individual work of students |
| assessment methods |
|---|
| Knowledge |
|---|
| Oral examination |
| Oral examination |
| Analysis of the student's portfolio |
| Analysis of the student's portfolio |
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Recommended literature
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EAGLE, Nathan. Reality mining : using big data to engineer a better world. MIT Press. c2014.. MIT Press, 2014.
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ERL, Thomas; KHATTAK, Wajid; BUHLER, Paul. Big Data Fundamentals. New York, 2016.
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KERSKI, J. J., CLARK, J. he GIS guide to public domain data.. Redlands, 2012. ISBN 9781589482449.
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