The course is built on the fundamentals of GIS an emphasis on problem solving, modelling, application, scripting and future trend of GIS. It offers students a deeper understanding on GIS from both theoretical and technical aspect. Students get hands on enhanced technical skills in problem solving with GIS. The topics cover broad area in natural resources, social science, planning, online mapping, spatial statistics, networking etc.
COURSE SCHEDULE
| Lecture | Lecture/Tutorial | Lab |
| Introduction | Lab Environment | |
| Data Management | Data Sources | Vector Analysis |
| Spatial Analysis | Analysis | Data Management |
| Terrain Modelling | Terrain Analysis | Analysis |
| Spatial Statistics | Advanced Raster | 3D Modelling |
| Reading Break | ||
| Mid-Term | Census | Spatial Statistics |
| Modelling Path | Network | Canadian Census |
| LiDar / UAV | Spatial Estimation | Network |
| Programming | Python Basics | LiDar |
| Online GIS | Project Design | Python for GIS |
| Big/Temporal Data | Project | Project |
| Review | Project | Project |
| Final Exam | Project | Project |
| Exam period |