• 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