Introductory 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.
Syllabus
Online for the fall of 2020
This year is going to be an interesting year with everything being online. As this is an applied course making use of a variety of technology, we will have to carry in a somewhat ad hoc methods. The course grading for 2019 is included as a reference (bottom of the page) to how the students in the course were evaluated in past years.
Below is the grading scheme for the course this year
COURSE GRADING – 2020
| Lab and Tutorial Assignments | 30% | Due weekly or otherwise stated |
| Lecture Midterm Midterm Answer Key | 10% | October 16 (Undecided if it is through Teams or “take home” exam) |
| Lab Quiz | 10% | The week of November 16 (may be carried out in lab period online – or a “take home” assignment) |
| Literature Review | 5% | November 13 |
| Student Projects | 25% | December 11 |
| Final Exam | 20% | Assignment due during the exam period (completed by Dec 18th) |
COURSE GRADING – 2019
| Lab Assignments | 30% | Due Fridays at 4:30 |
| Lecture Midterm | 10% | October 19 |
| Lab Quiz | 10% | October 31 and November 1 |
| Literature Review | 5% | November 7 and 8 |
| Student Projects | 25% | December 7 |
| Final Exam | 20% | TBA |
CONTACTS:
Scott Emmons (Friday Lecture/Monday Tutorial): emmons@unbc.ca
Ping Bai (Tuesday Lab/Thursday Tutorial): baip@unbc.ca
Emily Bornestig (Friday Lab): bornestig@unbc.ca
Jose Aragon (Wednesday Lab): aragon@unbc.ca