1. Introduction, definition, interdisciplinary relationships, geographic object, homeomorphism 2. Information systems: types, methods of design, information systems in public administration 3. Database systems: relational algebra, SQL language, spatial indexes, spatial queries, data mining (cluster analysis, artificial neural networks, genetic algorithms) 4. Topology (mathematical, pragmatic - Standard DIGEST) 5. Data models in GIS (vector, raster, matrix) 6. Sources of data in GIS, web mapping services 7. SDI (Spatial Data Infrastructure for), the INSPIRE Directive 8. Digital elevation model (raster, vector, TIN) 9. Input data, metadata, data accuracy and quality - standards 10. Map algebra: a model, operators, functions, typical tasks 11. Spatial analysis: history, purpose, types (measurement and classification functions, overlay function in the neighborhood, connecting function) 12. Current trends and developments of GIS

I. working in Geomedia Intergraph, fundamental tasks. 1. creating of projekct 2. import raster data 3. import vector data 4. import of coordinates II. working in ArcGIS, fundamental tasks. 5. deal with project 6. deal with project 7. deal with project 8. watershead analysis 9. Image classification 10. distance analysis 11. distance analysis - finishing 12. working with database tables 13. final project