Introduction to GIS

• Describe fundamental concepts and principles of Geographic Information Systems (GIS)
• Demonstrate knowledge and understanding of coordinate systems and projections, and apply this knowledge to ensure accurate spatial analysis and mapping
• Interpret and analyze a map with its various map elements
• Explain the different types of spatial data structures (vector, raster) and their characteristics
• Describe different techniques for the acquisition of geodata with respect to their fundamental principles, their field of application, the required effort and their limitations
• Select and apply appropriate spatial analysis techniques to solve real-world problems using GIS software
• Utilize GIS software tools to analyze spatial patterns and relationships within datasets
• Apply programming languages, such as Python, for automation and customization of GIS workflows.
• Develop a simple database for the investigation of a given spatial problem in alignment with a suitable spatial data model and formulate simple queries on it
• Design and create visually appealing and informative maps using GIS software
• Generate meaningful insights based on GIS analysis and interpretation
• Assess the accuracy and reliability of GIS analysis results

– Introduction to GIS and spatial analysis.
– Coordinate systems, map projections, and datums.
– Cartography and geovisualization.
– GIS data structures and models.
– Spatial analysis in vector and raster models.
– Digital elevation models and terrain analysis.
– Python programming within GIS.
– Data input in GIS and sources of spatial data.
– Relational and spatial databases, database design and queries with SQL.
– Applications of GIS.

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Lectures and exercises.