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, input, attributes, formats, and conversions; 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 8 – 10 Sept, there will be a lecture in the first week.


8 – 10Introduction
13 – 17GIS Data – Vector & RasterGeoTagged PhotosIntro to QGIS
20 – 24Census DataCreating shapefilesData Management
27 – Oct 1National Day for Truth and ReconciliationAcquiring Census DataNational Day for Truth and Reconciliation
4 – 8Spatial AnalysisWorking with Census Data Working with Joins
11-15Spatial AnalysisThanksgivingVector Overlays
18-22Data QualityMid Term & Spatial AnalysisExploring Raster Data
25-29Precision and Accuracy Lit Review, project outline and Spatial AnalysisMixed Data Formats
1-5History of GISSpatial AnalysisProjects
8-12Remembrance DayOpenStreetMap DataRemembrance Day
15-19Data for Decision SupportProjections, Data QualityProjects
22-26Course ReviewDataBC and Network AnalysisProjects
29-Dec 3Final Exam (29 Nov)Projects

Literature Review Exercise

Student Project Outline

Below is the grading scheme for the course this year


Lab and Tutorial Assignments35%Due weekly or otherwise stated – 6 assignments with one worth 10%
Lecture Midterm15%October 18
Literature Review5%November 8
Student Projects25%December 6
Final Exam20%November 29 (Not Dec 8th)


Anthony Jjumba (Lectures/Tutorials):

Emily Bornestig (Labs):

Rulan Xiao (Labs):