Geographic Information Systems (GIS)

Prerequisite: GEOS-0026 GIS Analysis; GEOS-0021 GIS Database Management
The course builds on the foundational GIS knowledge and skills acquired at the introductory level and guides students in the development of increasingly sophisticated spatial and geostatistical analyses. Students will learn how to perform different types of spatial analyses, identify the types of questions different analysis approaches can answer, critically evaluate the advantages and limitations of different approaches, and gain a better understanding of the use of capabilities of spatial analysis. Students will apply model building tools to advanced geostatistical methods. Spatial modelling and analysis techniques like spatial interpolation, multi-criteria decision making, Fuzzy Logic, predictive modelling, regression, network analysis, routing, site selection and data mining skills will be explored.

Corequisite: GEOS-0026 GIS Analysis
The course introduces students to computer-assisted cartographic methods and processes. Emphasis is on map design and cartographic communication using computer-assisted cartographic techniques. Students examine multimedia cartographic visualization prospects. Cartographic ethics are observed and adhered to during the various cartographic products generated.

Pre-requisitie: GEOS-0024 GIS Project Management
Co-requisite: GEOS-0017 Advanced Spatial Analysis
This course is divided into two distinct phases that will integrate knowledge of data, GPS, remote sensing, and GIS analysis for use in a wide variety of applications. In the first phase of the course, learners apply foundational knowledge and skills acquired in previous courses to complete a wide range of geospatial applications using data from areas such as forestry, resource management, agriculture, civil/infrastructure, disaster management, land reclamation, mining, water management, LiDAR, site selection, UAV/Drone analysis, and/or open source geospatial software among others. In the second phase, learners have to complete one of two options: i) create a geomatics skills portfolio, which is a great resource for demonstrating skills to employers and can continue to grow as your career progresses, or ii) develop an industry based GIS proposal and work plan for a specific GIS analysis project. Each of these options will act as a culminating experience of the GIS advanced diploma program.

Prerequisite: GEOS-0018 Cartography
Students explore the basic principles and theories related to Geographic Information Systems (GIS) applications. Students apply these principles to different industry management situations using a variety of GIS software packages. Using fundamental GIS concepts, students explore the vector and raster data analysis geoprocesses. Various methods of spatial data manipulation and interpolation are implemented along with grid cell analysis.

Co-requsite: GEOS-0023 GPS Applications
In this course, students explore how geospatial data is created, shared and stored. Topics will focus on data management, conversion and manipulation within a geospatial context. Initial focus is on data transfer, sources of digital geographic data and geographic data formats. Students progress into advanced database solutions, including theory and design of a relational database. Interface design principles of data input, complex queries, relationship classes, topological rules, hierarchical geospatial data layers, domains and classes are applied to spatial and non-spatial data.

In this course, students will explore how geospatial data is created, shared and stored. Topics will focus on data management, conversion, and manipulation within a geospatial context. Initial focus is on data transfer, sources of digital geographic data and geographic data formats. Students will progress into advanced database solutions, including theory and design of a relational database. Interface design principles of data input, complex queries, relationship classes, topological rules, hierarchical geospatial data layers, domains and classes are applied to spatial and non-spatial data.

Pre-requsite: GEOS-0026 GIS Analysis
Co-requisite: GEOS-0017 Advanced Spatial Analysis
This course familiarizes students to the use of GIS cloud and server resources. Students evaluate and implement systems using three cloud service models (infrastructure, platform, and software services). The setup of server and cloud services for creating maps, managing spatial data, and processing spatial data will be accomplished. Students explore a range of open source and close source (proprietary) GIS industry service systems. This course integrates GIS programming skills in a variety of different situations such as custom geoprocess analysis and web integration.

Co-requsite: GEOS-0021 GIS Database Management
This course introduces students to the application of tools related to Global Navigation Satellite Systems (GNSS). Decision-making as it relates to Global Positioning System (GPS) implementation is stressed. Students learn proficiency in operating a variety of GPS equipment, mission planning, data collection, data accuracy, documentation, processing and field techniques. Students are exposed to innovative GPS equipment and mapping techniques. Emphasis is placed on data collection, quality and management.

This course introduces students to GIS programming software to create applications using the graphical user interface (GUI). Students develop visual and event-oriented approaches to programming. Instruction covers the development interface, the use of most available controls and their properties, cutting-edge interface design methods, debugging techniques and programming tips. This integrates GIS programming skills in a variety of different situations such as custom geoprocess analysis and web integration.

Prerequisite: GEOS-0026 GIS Analysis, GEOS-0018 Cartography
This course implements the fundamental skills and principles involved in acquiring, manipulating, analyzing, interpreting, and presenting remotely sensed data. The data is presented or integrated with other data forms for direct implementation within a GIS. The students learn to manipulate digital and non-digital images using a variety of software packages. An overview of digital image processing techniques for commercial and research-based remotely sensed earth resource monitoring systems is provided. Emphasis is on the use and interpretation of passive (optical) satellite imagery using both automated and semi-automated information extraction. Learners are introduced to microwave sensing (radar). Various standard image enhancements, formats and analysis procedures are practiced.