Courses
Introduction to geoinformatics
Course overview
This course offers an introduction to geoinformation technologies (GIT) and their application in the representation, analysis, and interpretation of the real world. It addresses core concepts shared across all GIT domains, including spatial and temporal data, positioning methods, geographic features, and data modelling. Emphasis is placed on understanding space and time, methods for determining position in both dimensions, and the descriptive components of geospatial features.
The course provides an in-depth overview of Geographic Information Systems (GIS) and introduces students to key related technologies such as GIS, DPZ, GPS, DMR, MGIT, GeoWeb, Lidar. Additional topics include spatial modelling of real-world phenomena, the structure and use of geodata, metadata principles, and fundamental methods of geodata acquisition.
Course content
- Real world and its presentation. Earth sciences.
- Geoinformatics and geoinformation technologies. Definition of basic concepts.
- Space. Different concepts of space.
- Positioning in space.
- Time. Different concepts of time. Positioning in time.
- Feature. The components to describe features.
- Data models. Data modeling. Data structures.
- Raster data model. The vector data model.
- Getting geodata. Primary geodata.
- Derived geodata. The quality of geodata. Metadata.
- Digital terrain models.
- Global navigation satellite systems.
- Remote Sensing.
Learning outcomes
The aim of the course is to teach students basics of geoinformatics and geoinformation technologies, use them to complete diffrenet tasks, to design adequit data models to portray real world.