Introduction (What is GIS, history, why GIS, advantages over classical approach, standards, GIS logic, real-world models, legislation, user rights)
Data types, databases (structure and definition of databases, conceptual data model – entity, attribute, domain, examples of geological databases, cardinality– relationships 1:1, 1:n, n:n)
Acquisition of data (primary, secondary; GPS, digitalisation). Georeferencing, basics of remote sensing.
GIS components (hardware, software, data, people, work technology).
Geographic projections (geographic and projected; most used coordinate systems in world and in Slovenia).
Data visualisation (symbology of vector and raster data).
Analyses (queries by attributes and by location).
Preparation of geological maps (transformation of tabulated and spatial field data in GIS, preparation of legend and other map components for plotting).
Basics of raster data and 3-D analyses.
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