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.
- Teacher: Ian Dennis
Introduction to the fundamentals of GIS theory, history and application. Emphasis will be placed on understanding how geospatial features are represented or 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 Desktop software.
- Teacher: Tracey Harvey
In our continually evolving and digitally dominating world, employers and clients are expecting GIS graduates to have an online presence.. 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 like Twitter and LinkedIn.
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.
Advanced Topics in GIS can be found within almost any industry. In this course we will be introduced to different advanced applications, while focusing on using GIS for Health Analysis.
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.
The aim of this course is to combine vector and raster GIS data and new remotely sensed data source: LiDAR with geospatial tools to make spatial decisions. Students will master basic skills of LiDAR needed to leverage the commercial LiDAR sources and information products in a broad range of applications, including vegetation characterization, 3D modeling of urban infrastructure, volumetric analysis for underground parking garage excavation and wetland boundary delineation.
- Teacher: Muditha Heenkenda
IEP 271 is a project based course. You will take a project from an idea to final products and a presentation, using the skills, knowledge, and experiences gathered through other courses at Selkirk and elsewhere. Depending on your project, you may need to spend some time learning new GIS methods as well. This moodle site is intended to supplement the core classroom face to face work.