Introduction to GIS
This lab-based course provides an introduction to the data management and analysis capabilities of Geographic Information Systems (GIS) and provides a foundation in GIS. Topics include: geospatial data sources; attribute management; quantitative analysis; projections and coordinate systems; and raster and vector analysis. This course combines data and common practices from natural resource management and social sciences.
There will be no Labs and Tutorials in the first week, 7 – 9 Sept, there will be a lecture in the first week.
Syllabus
| Date | Lecture | Lab |
| September | ||
| 7 – 9 | Introduction | |
| 12 – 16 | GIS Data | Introduction to QGIS |
| 19 – 23 | Data Collection | Creating Data |
| 26 – 30 | Spatial Analysis | Creating Data |
| October | ||
| 3 – 7 | Spatial Analysis || Midterm Exam (Room 7-238) | Vector Overlays |
| 10-14 | Census Data | Thanksgiving |
| 17-21 | Quantitative Methods | Exploring Raster Data |
| 24-28 | Quantitative Methods | Working with Joins |
| November | ||
| 31 Oct – 4 Nov | Geocoding | Census Data |
| 7-11 | Data Quality || Precision and Accuracy | Geocoding |
| 14-18 | GIS History | Projects |
| 21-25 | Data for Decision Support | Projects |
| December | ||
| 28 Nov – 2 Dec | Course Review || Final Exam (Room 7-238) | Projects |
| 5 – 9 | Project Submission | |
Below is the grading scheme for the course this year
COURSE GRADING – 2022
| Lab Assignments | 35% | Due weekly or otherwise stated |
| Lecture Midterm | 15% | October 5 (7-238 – Weldwood Lecture Theatre) |
| Project Proposal | 5% | November 2 |
| Student Projects | 25% | December 7 |
| Final Exam | 20% | November 30 (7-238 – Weldwood Lecture Theatre) |
CONTACTS:
Anthony Jjumba (Lectures): jjumba@unbc.ca
| Office Hours – Room 8-142 | |
| Monday: 13:30 – 14:30 Wednesday: 13:30 – 14:30 |
Ping Bai (SLI): ping.bai@unbc.ca (Monday Lab)
Rulan Xiao (Labs): xiaor@unbc.ca (Tuesday Lab)
Aragon Jose (Labs): aragon@unbc.ca (Wednesday Lab)