GIS for Bachelor’s of Engineering

• Analyze GIS data structures and algorithms, and assess and optimize their suitability for specific geospatial problems.
• Integrate and evaluate data from Danish and international geodatabases for advanced vector and raster analyses.
• Design and implement basic GIS applications with specific requirements for geospatial data and functionality.
• Understand and apply map projections and geodetic datums, and assess their impact on geospatial data.
• Combine and adapt geometric operations in vector and raster domains for complex spatial analyses.
• Develop and communicate maps with geospatial analyses for various purposes and audiences.
• Develop and optimize a simple geodatabase and formulate precise and efficient queries.
• Apply and automate geospatial analyses using Python.

• Introduction to GIS – Basic principles and applications of spatial analysis.
• GIS Methods and Standards – Core techniques and guidelines for data management.
• GIS in Practice – Applications in environmental and climate issues, transportation, urban planning, socioeconomics, etc.
• Geodata and Data Input – Sources, formats, and quality assurance of geospatial data.
• Data Structures and Models – Vector and raster representations in GIS.
• Cartography and Visualization – Effective presentation of geographic data.
• Coordinate Systems and Georeferencing – Map projections, datums, and • transformations.
• GIS and Databases – Relational and spatial databases, SQL queries, and database design.
• Spatial Analysis – Advanced techniques in both vector and raster models.
• GIS and Python – Introduction to programming and automation of geospatial analyses.

• 6 – 20 (Thurs 13-17)

01901/01910

Lectures and exercises.