COURSE SCHEDULE
(Subject to minor revision as the course proceeds)
Week | Date | Lab (Tue 14.30 – 17.20) | Lecture (Wed 15.30 – 16.20) | Tutorial (Wed 16.30 – 18.20) |
1 | Jan 4 – 8 | |||
2 | Jan 12 / 13 | Introduction | Account/software/connection | |
3 | Jan 19 / 20 | Vector Analysis | Data Management | Data Management |
4 | Jan 26 / 27 | Data Management | Spatial Analysis | Suitability I |
5 | Feb 2 / 3 | Suitability II | Terrain Modeling | 3D / Visibility |
6 | Feb 9 / 10 | Hydrology Modeling | Spatial Statistics | Spatial Estimation/Advanced Raster |
7 | Feb 15 – 19 | Breading Break | ||
8 | Feb 23 / 24 | Demographics | Mid-Term1 | Lit Review/Project |
9 | Mar 2 / 3 | Urban Planning | Modeling Path | Modeling Path |
10 | Mar 9 / 10 | Network | LiDar | Spatial Interpolation |
11 | Mar 16 / 17 | LiDar | Programming | Programming |
12 | Mar 23 / 24 | Python | WebGIS | Online mapping |
13 | Mar 30 / 31 | Python | UAV/ Big Data/Tempol | Project |
14 | Apr 6 / 7 | Project | Project | Project |
15 | Apr 13 / 14 | Project | Mid-Term2 | Project |
16 | Apr 20 – 30 | Project due | Exam period |