Introduction to Remote Sensing using QGIS will introduce the fundamentals of remote sensing and demonstrate the current applications of the technology. Students will become familiar with the basic image pre-processing techniques such as applying radiometric, geometric and atmospheric corrections. State-of-the-art digital image processing techniques – supervised and unsupervised classifications, object based image classification, change detection and biophysical modelling will be explored. The course is designed to introduce freely available remote sensing data sources (open data) and open source software (QGIS) for natural resources management applications.

Note: this is a compressed (8 weeks) course

Advanced Topics in GIS is applicable within almost any industry that requires spatial analysis. In this course we will be introduced to different spatial analysis techniques with an early focus on using GIS for Health Analysis.

In our continually evolving and digitally dominating world, employers and clients are expecting GIS graduates to have an online presence....or there are expectations to be able to create one for themselves, their clients, or the company. We need a venue to showcase what we do and what we are capable of, and how we format and present our online portfolio can be make or break a new position or contract award.

This New media course consists of a series of workshops designed to build digital presentation and presence skills using some popular New media tools, graphics editors, video editing software, websites and blogs plus additional freeware social media tools.

At the end of this course students will have built their own websites hosting creative self produced media and begun the process of building an online GIS network to begin or further their GIS careers.

Undertaking current and relevant professional development in GIS is essential to achieve success in the marketplace and their world. During this seminar course we will invite local industry expert guest speakers and explore topics including professional conduct and ethics, certification, life-long learning, and other aspects of GIS professionalism.

This site compliments the face to face classroom.

Spatial statistics is a two part course that starts with a review of essential statistical techniques and secondly consists of a concentration on statistical approached use in spatial analysis. Emphasis will be placed on integrating practical examples into course exercises and projects. Basic statistical concepts of exploring data, probability distributions, hypothesis testing, one sample, two sample tests, regression, ANOVA, and model building will be addressed. Geostatistical functions such as interpolation, point pattern analysis, kriging and trend surface analysis will be examined in the second part of the course.

Face to face course delivery will include a mix of theory, discussion, demonstration, group work, and independent study. The use of spreadsheet tools, the statistical language, R, ArcMap, and the Geospatial Modelling Environment to answer questions will be emphasised.

This course contains supplementary materials for the GIS 492 course as well as drop boxes for your assignment submissions and tracking your grades.

Introductory GIS courses build an understanding of how GIS describes real world features within an information system. This course builds on that knowledge to introduce methods for spatial analysis. Analysis always involves inputs, methods, and outputs. The inputs are the spatial layers and tables; methods are functions, proceedures or algorithms; and outputs are new or derived spatial layers, tables and reports. In the lab, we will focus on carefully considering inputs and methods so we can better evaluate outputs. We will consider geoprocessing both vector and raster data and automating functions using ArcToolbox, ModelBuilder, and Python scripts.

Introduction to Geographic Information Systems is an introduction to GIS theory and application.  Emphasis will be placed on understanding how geospatial features are represented and captured as data and how these data can be managed, analyzed and presented using state-of-the-art GIS tools.  Hands-on expertise will be developed with ESRI’s ArcGIS Pro software.

This course provides an introduction to AutoCAD's computer-assisted design and drafting software for GIS students. Students will learn the fundamentals of the drafting environment, including setting up their workspace, utilizing common tools, creating powerful drawings, and creating print layouts.

This course will continually touch upon the differences and similarities of CAD and GIS as well as when and how GIS professionals will use CAD in their career. GIS students will gain appreciation of the complementary technology that CAD offers.

Cartography is the art and science of map making and map use. Preparation of high quality maps that readily reveal land management, planning, environmental or other concerns is critical to ensure that important messages are conveyed in an easily interpretable fashion. This course introduces the concepts and methods of cartographic communication, design, and geovisualization. Mapping fundamentals will address subjects such as coordinate systems, projections, datums, cartographic generalization, map types, and map design considerations.

GIS 390:  Applied Research Methods involves the design and planning of a project idea from initial concept to anticipated final outputs. Topics include an overview of the steps necessary to successfully integrate GIS into the project decision-making process. Specific skills will be developed in project scoping and research proposal development, reference material management, and project presentation methods, including oral, poster, and written project documents. This course is a prerequisite for Co-op 301, GIS 491, and GIS 492.

This site provides  information about SEG's GIS programs for students and inks to our current policy regarding Covid 19.

This course is a continuation of Math 190 - Resource Statistics I. Topics include linear regressions and correlation, inferential statistics, confidence intervals, hypothesis testing, goodness of fit and contingency tables.

First part of this course will introduce the fundamental concepts of Global Navigation Satellite Systems with specific emphasis on Global Positioning System (GPS) and the applied technologies for GPS data collection and its integration with GIS. The second part of the course will introduce Unmanned Aerial Vehicles (UAV) technology.