Curricula in Geoinformatics Faculty of Science, Charles university in Prague
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Transcript of Curricula in Geoinformatics Faculty of Science, Charles university in Prague
Charles University in PragueFaculty of Science
Curricula in GeoinformaticsFaculty of Science, Charles university in
Prague
Markéta Potůčková
Charles University in PragueFaculty of Science
Department of Applied Geoinformatics
Geoinformatics at Charles universityCharles university in Prague
Faculty of Science
Geography –> dept. of Cartography
Department of Applied geoinformaticsand cartography
1348
1920
1991
2003
Traditional GI curricula within geography• Loosely coupled with physical and social
geography – main emphasis on cartographic output products and visualization for research activities in geography
• More or less research on using tools for specific applications and a classic map creation
• Development of the new technology, approaches or methodology was restricted for different subjects individually (remote sensing, geoinformatics, cartography)
Needs for change
Motivations for change in curricula
• Huge development in geoinformatics and remote sensing science
• Change in perception of geoinformatics as a science which gives more possibilities in research and development of new applications
• New requirements for the graduates• Acceptance of the Bologna agreement
New curriculum was created, accredited and has been used since 2003
Goals in geoinformatics education
• Not only individually develop domains within geoinformatics but outline possible combinations and methods across all subjects to solve a given problem
• Highlight an interdisciplinary character of geoinformatics science
• No possibilities to cover all specialization within one department therefore cooperation with other departments physical (hydrology, geomorphology, etc.) and social/regional (urban studies, landuse/landcover, regionalization, etc.) geography – in applications the stress is on the geoinformation content (development of new tools, data quality, …)
Structure of the curriculum
• 4 basic fields:• Science and research methods• Spatial data acquisition, processing and analysis• Spatial data visualization and presentation• Database systems
• Students learn appropriate subjects either in bachelor degree and in master degree
• Master degree is focused on geoinformatics science whereas geoinformatics is only a part of more general bachelor degree
Courses provided by the Department of Applied Geoinformatics and Cartography
Bachelor degree
Bachelor degree
Introduction to university studySeminar to bachelor thesis
Science and research
Bachelor degree
Acquisition and processing of spatial data
Bachelor degree
Visualization and presentation of spatial data
Bachelor degree
Database systems
Master degree
Overview on courses of the study programme “Cartography and Geoinformatics”
Master degree
Science and research
Master degree
Acquisition and processing of spatial data
Master degree
Visualization and presentation of spatial data
Master degree
Database systems
Science and research
- Researches’ ethical code- Writing capability- Presentation capability- Working with information sources (search,
analyze, use and write)- Team working- Systematic approach to solving problems
Bachelor and master thesis
Science and research
All modules (subjects) lead to a selection of the diploma thesis
Examples of the diploma topics (finished in 2006):
• Access to GIS and spatial database from mobile devices
• Application of VRML for creating a web information system of …
• Detection of vegetation at rural areas by means of object classification
• Analysis of land cover changes of the model area …
Spatial data acquisition and processing• Principles of geoinformatics, GIS, and remote
sensing in bachelor degree• Subjects in master degree extend the basic
with knowledge and practical skills for:• Data collection by means of photogrammetry,
laser scanning, optical RS systems, RADAR techniques
• Overview of existing topographic and other databases in the Czech Republic
• Advanced techniques in remote sensing (object oriented classification, fuzzy aspects of the classification, etc.)
• Uncertainty in data sets and data quality checking
Spatial data visualization and presentation
Using appropriate techniques users applicability
• General overview of cartography is given in bachelor degree (overview of the history, mathematical fundaments, basic rules for creating maps, digital cartography)
Master degree• more about algorithms on background processing
of vector and raster data, digital image processing• data distribution via web environment
Database systems
Different approach for students:Bachelor degree
• Study principles of the database, using SQL, creating and using simple database systems and using databases within GIS technologies
Master degree• Advance database modeling issues including
CASE tools, transaction and analytical systems (OLTP, OLAP)
Voluntary courses in programming (C++, Java, Python)
Cooperation between subjects
• Main aim for curriculum is interdisciplinary cooperation and complex view of the problems
• Students choose a specialization through topic of the thesis – possibilities for voluntary modules
• Courses are provided with a given succession
• Interdisciplinary character of the curricula is finishing in diploma thesis
Application of acquired knowledge
• Example of a master thesis (defended this week)
Topic: ACCURACY ASSESSMENT OF LAND SURVEY RECORDS BY REMOTE SENSING AND GIS MEANS
Theoretical part: research focused on land survey records accuracy evaluation on cadastral scale in Czech republic
Practical part: 1. Data acquisition from several sources (field
survey, digital cadastral map, analogue maps and satellite data – IKONOS, SPOT)
2. Visual image interpretation
Application of acquired knowledge
3. Image classification4. Analyzing and comparing classification
results with real land use; accuracy assessment
5. Knowledge – based reclassification, importing data from different sources
6. Test of feasibility to update land use database by a proposed methodology
7. Comparison of the applied methodology with methods that has been used so far
• Example of a master thesis (defended this week)• Topic: ACCURACY ASSESSMENT OF LAND
SURVEY RECORDS BY REMOTE SENSING AND GIS MEANS
• Theoretical part: research focused on land survey records accuracy evaluation on cadastral scale in Czech republic
• Practical part: • Data acquisition from several sources (field
survey, digital cadastral map, analogue maps and satellite data – IKONOS, SPOT)
• Visual image interpretation
Application of acquired knowledge
Science and Research
Acquisition and processing
• Image classification• Analyzing and comparing classification
results with real land use; accuracy assessment
• Knowledge – based reclassification, importing data from different sources
• Test of feasibility to update land use database by a proposed methodology
• Comparison of the applied methodology with methods that has been used so far
Application acquired knowledgeAcquisition and processing
Database systems
Visualization
Equipment
• Sufficient hardware and software equipment is essential
• Department’s laboratories and computers rooms(also for individual working)• proprietary and open source software solution (e.g.
ESRI, Oracle, PCI Geomatica, Definiens Proffesional, PostgreSQL/PostGIS, Mapserver, Adobe, Corel, etc.)
• Enough ESRI software (basic courses) due the ESRI site license
• Except of the training data, own receiving station for meteorological imagery (EUMETSAT)
Collaboration with other departments and institutions
• Ongoing research projects in the field of• RS (urban sprawl, monitoring of scrub pine
areas, land slides)• LUCC• GMES• Cartography
• Students and staff exchange programmes• Erasmus (ITC, AAU, Valencia)
Thank you for your attention
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Charles University in PragueFaculty of Science