Courses may include
These are some of the courses offered in this program. It is not a complete list and courses are subject to change in advance of the academic year.
GDAA 1000 - Fundamentals of Spatial Data Analytics Projects
This course will focus on understanding the nature of analytical projects using spatial data. Learners will review past projects representing environmental, business-related, and other socio-economic applications. They will learn how to define the scope of a project, find sources of data, examine data quality, prepare data, find the most appropriate analytical tools, as well as document the procedures used and discuss results. Students will also learn how to perform some analytical operations such as using spatial analysis tools and statistical tests. They will acquire skills resulting from working with GIS and statistical software packages.
GDAA 2000 - Data Mining Fundamentals
In this course, learners acquire basic data analytics skills, including business understanding, data understanding, data preparation, and some predictive analytics modelling with decision trees. The integration of data mining and geospatial technologies are a primary focus.
GDAA 2010 - Data Mining Modelling
Following Data Mining Fundamentals, learners in this course apply data mining models for predictive analytics, clustering and rule generation for discovering hidden structures, patterns and relationships in data. Numerous models are created, evaluated, compared and linked together. Results include the use of GIS for mapping and conducting spatial analysis.
GDAA 2020 - Location Analytics
Location analytics is an important component of business intelligence. In this course, learners apply the most appropriate tools and techniques to solve locational problems. Acquired skills include selecting and processing business and demographic data, evaluating existing business locations, finding the optimal location for new businesses, creating reports and mapping results. Location analytics tools are used for geocoding, creating trade areas, analyzing sites and markets, predicting sales or target marketing.
GDAA 2030 - Image Analytics
This course prepares learners for working with geospatial imagery in a machine learning environment. It provides an overview of the techniques used to manage image data, as well as tools and programming solutions used to manipulate the data. Learners will use industry standard tools and custom solutions to pull meaningful information from the data.
GDAA 2040 - Spatial Analysis and Geostatistics
This course provides learners with insight into spatial analysis and geostatistics, and promotes an understanding of how they can enhance project methodology. Learners will choose and use appropriate tools given aims and available data, and work to interpolate spatial data, study geographical distributions, analyze spatial patterns and relationships, and identify spatial clusters.
GDAA 3000 - Major Analytics Project
In collaboration with a project sponsor, learners complete a major research project where they can apply their analytical skills toward solving an authentic business problem using geospatial data. The course involves conducting a literature review, developing a project proposal and carrying out the requisite analytical research.
GDAA 3010 - Analytics Project Delivery and Reporting
This course serves as a capstone to the program, and provides learners with opportunity to marry their technical skills with an entrepreneurial mindset, and bring their analytics project to completion. The course emphasizes the importance of polish and professionalism in terms of delivery of project outcomes. Learners will present their findings as well as critique the work of others.
GEOM 5005 - Geodesy, GPS and Geosensors
This course exposes learners to basic concepts of geodesy, global navigation satellite systems and geosensors. The learner will be introduced to map projections, ellipsoids, datums, and datum transformations, and the theory required to plan, acquire, and process code based GNSS. Learners will also be introduced to geosensor technologies and applications and investigate the issues associated with handling the data.
GISY 5003 - Spatial Database Management
This course introduces learners to principles and techniques of relational database design, development, maintenance and use, including spatial database objects. Learners will gain a basic insight into database systems terminology and issues facing database managers and analysts.
GISY 5004 - Fundamentals of GIS
This course is an introduction to Geographic Information Systems (GIS) technology, applications and data analysis. Learners will gain experience in data input, processing, analysis, and final-map-product creation following technology advancements and industry standards. Hands-on activities provide experience in basic map design, reading, interpretation and analysis. Moreover, learners will investigate how spatial thinking and spatial perception influence spatial behaviour and assemble and process data from a variety of sources and formats.
PROG 5000 - Programming Fundamentals for Geographic Sciences
This course is intended for those with minimal or no prior programming experience and exposes the learner to programming in various environments. This course includes an introduction to the fundamental tools of the Internet – Hypertext Markup Language (HTML) and Cascading Stylesheets (CSS). Learners will develop basic web site content and control web page presentation. Object-based programming then begins with basic assignments and progresses toward Geographic Information Systems and Remote Sensing (GIS/RS) related data manipulation; learners will apply programming theory to a range of tasks.
REMS 5001 - Fundamentals of Remote Sensing and Digital Image Processing
This course is an introduction to the concepts, principles and applications of remote sensing technology. The specification and use of airborne and space-borne imagery for the investigation of various earth resources and environmental monitoring will be discussed. Applied learning opportunities will be provided in the laboratory and field relating to the applications of remote sensing.