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Continuing Education

CCTG117 - GIS Spatial Analysis

Course Code

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Campus

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Course Overview

Explore the foundations of spatial analysis and advance into cutting-edge geospatial intelligence technologies. This comprehensive course covers essential spatial analysis principles while introducing modern GeoAI applications and advanced automation techniques. Discover fundamental spatial analysis concepts and apply appropriate spatial data models and structures for various project requirements. You will explore core techniques in both vector and raster analysis, leverage machine learning and deep learning for geospatial intelligence applications, and implement advanced spatial modeling with automation and scripting capabilities. This course provides an excellent foundation for professionals seeking to integrate traditional GIS expertise with modern AI-driven geospatial solutions.Upon successful completion, you will be able to execute sophisticated GIS projects with confidence using both traditional and emerging methodologies.Prior to enrolling in this course, it is recommended that you successfully complete CCTG101 GIS Concepts and Application Types, or an equivalent course, or have relevant practical experience.

Upcoming Offerings

This course is part of these programs or course groups:

ArcGIS PRO Technology

Geographic Information Systems Technology


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Delivery Methods

  • Face to Face: Where: In-person meetings. When: Course is scheduled at a specific time for students to attend. Face-to-face instruction at all class meetings. Location may be on campus or at a worksite.
  • Blended: Where: Mixture of in-person & online components. When: Course is scheduled at a specific time for students to attend. Combination of face-to-face and online components at specific times. Some online components may be accessed online anytime.
  • Hyflex: Where: Choice to attend in-person or online meetings. When: Course is scheduled at a specific time for students to attend. For each class, students choose to attend in-person with the instructor or online at a specific time.
  • Remote Live Delivery: Where: Online with instructor. When: Course is scheduled at a specific time for students to attend. Instruction is delivered at set times online. Students do not come to campus.
  • Remote On-Demand Delivery: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online. While there are no set class meetings, there may be set due dates and deadlines for some activities. Students may interact with peers through virtual tools.
  • Remote Independent: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online, with no instructor support. While students choose when to do coursework, there may be set due dates and deadlines. 
  • Work Placement: Where: In-person meetings. When: Work is scheduled at a specific time for students to attend. Onsite work integrated learning. Location at a worksite.
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