Spatial Data Technologies

Elective

Lectures

3 hrs/wk

Lab

0 hrs/wk

Language

English

Delivery

In person

Self-study

36 hrs

PREREQUISITES

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