Certificate in Advanced Geographic Information Science and Technology Applications

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The volume and variety of geospatial data that can be used to describe objects, events, and phenomena that have a location on the surface of the Earth has grown exponentially over the past decades. This course equips participants with the skills to acquire, manage, and share all forms of geospatial data (GPS tracking, photography, satellite imagery, sensor networks, and social media messages) and the accompanying metadata using a variety of proprietary and open-source database management systems and tools.

This course also equips participants with the skills required to use programming languages and applications – such as JavaScript, Jupyter Notebooks, Python, and APIs – to build custom geospatial tools and products across a large variety of disciplines and application domains.

Furthermore, this course equips participants with the skills required to choose and implement the spatial analysis and modeling approaches that can be used to turn spatiotemporal data into actionable information for clarifying opportunities and solving problems across a large number and variety of disciplines and application domains.

Course Objectives

Participants in the course will be able to:

  • Design and implement well-formed database models using appropriate design techniques and relational database software.
  • Design and implement strategies for capturing or sourcing geospatial data and accompanying metadata for one or more GIS projects.
  • Generate geographical information by processing digital remotely sensed data and critically evaluating its use for special one-of-a-kind applications.
  • Design and develop cartographic and other kinds of visualizations for a multimedia, Internet-enabled world.
  • Program small-scale, one-of-a-kind GIS-based applications using the Python and/or Java programming languages.
  • Plan, design, and execute a series of advanced science and/or policy relevant GIS-based projects.

Course contents/Outline (3 credit units per topic-1hr lecture and 2hrs practical)

  • Wk 1:Spatial Data Acquisition and Databases creation
  • Wk 1:GIS analysis operations
  • Wk 2:Artificial intelligence in GIS and Remote Sensing
  • Wk 2:Web and Mobile GIS
  • Wk 3:Computer Programming and maintenance
  • Wk 3:Cartography and Visualization
  • Wk 4:GIS applications

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