| Course title | Design of Geospatial Data Models |
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| Course code | KGI/XSDGD |
| Organizational form of instruction | Exercise |
| Level of course | unspecified |
| Year of study | not specified |
| Semester | Winter |
| Number of ECTS credits | 3 |
| Language of instruction | English |
| Status of course | unspecified |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
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| Course content |
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Geospatial Data Models are the foundation of efficient geospatial data processing since it impacts service interfaces, performance and the ability to flexibly exchange data. Spatial Data Infrastructure Initiatives around the world (like INSPIRE in Europe) are therefore standardizing data models for various domains like parcel management, transportation, hydrography, etc. in a standard data modeling language and data encoding. Starting from a quick review of modeling basics the class will discuss techniques to define geospatial data models and techniques of data models encoding. This will included discussions and hands on experiences in UML, GML and the General Feature Model.
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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unspecified
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| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
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