Spatial Data Technologies
General
Code: BSC_IT41
Language: English
Delivery: In person
Prerequisites:
Workload
- Lectures: 39.0 hours
- Lab: 0.0 hours
- Study: 36.0 hours
- Project: 0.0 hours
Course Content
Week 1: Introduction to spatial data and GIS
Week 2: Types of spatial data
Week 3: Coordinate systems and projections
Week 4: GIS tools (QGIS)
Week 5: Spatial analysis
Week 6: Spatial databases and SQL
Week 7: Spatial queries
Week 8: Visualization and cartography
Week 9: Web mapping
Week 10: GPS and geolocation
Week 11: Remote sensing
Week 12: Project and review
Learning Outcomes
Upon successful completion of the course, students will be able to:
Understand spatial data concepts and GIS
Manage geospatial data (vector, raster)
Use GIS tools for analysis and visualization
Perform spatial queries and analysis
Use spatial databases (PostGIS)
Develop simple web mapping applications
Understand GPS and remote sensing technologies
Apply spatial analysis to real-world problems
Integrate spatial data with other datasets
Skills
The course fosters the following competences:
Search for, analysis and synthesis of data and information, with the use of the necessary technology
Adapting to new situations
Decision-making
Working independently
Team work
Working in an international environment
Working in an interdisciplinary environment
Production of new research ideas
Project planning and management
Respect for difference and multiculturalism
Respect for the natural environment
Showing social, professional and ethical responsibility and sensitivity to gender issues
Criticism and self-criticism
Production of free, creative and inductive thinking
Others:
Geospatial data analysis
GIS tools usage
Data visualization on maps
Integration of spatial data with IT systems