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Courses - Faculty of Science


Geographic Information Science

Stage II

GISCI 241
15 Points

Principles of Remote Sensing

An introduction to remote sensing tools and techniques and their application within the earth, environmental and urban environments. The course focuses on the processing, analysis and interpretation of data collected by government and commercial satellites, Unmanned Aerial Vehicles (UAV) and aerial photography. The course introduces image interpretation, multispectral images, supervised and unsupervised image classification and change detection. Techniques for analysing remote sensing data are introduced through a series and lab-based activities and are applied during an independent project.

Prerequisite: 60 points passed or 30 points from ENV 100-103

GISCI 242
15 Points

Principles of GIScience

Spatial analysis and GIScience applications of spatial data handling for built and natural environments within the context of theoretical frameworks for understanding human-driven and physical phenomena. Develops advanced practical knowledge of methodology and applications for changing environments. Focus topics include climate change, air pollution, healthcare access, transportation, and 3D game worlds.

Prerequisite: 60 points passed or 30 points from ENV 100-103

Restriction: GEOG 318

GISCI 243
15 Points

Special Topic

Stage III

GISCI 341
15 Points

Remote Sensing of Surface Processes

Key concepts of geographic information science as applied to earth and environmental sciences. Monitoring, analysis, visualisation and modelling of landscape change for terrestrial and coastal environments, using imagery from satellites, airplanes (LiDAR) and UAVs. Principles and practice of field techniques, including RTK-GPS, LiDAR and UAV piloting will be reviewed with application to catchment management, conservation, natural hazards and civil infrastructure.

Prerequisite: GISCI 241

Restriction: GEOG 317

GISCI 343
15 Points

GIScience Programming and Development

Programming and scripting-based techniques for spatial big data analysis, spatial data handling, modelling, automation, and development for the GIScience domain.

Prerequisite: 15 points from GISCI 241, 242, GEOG 317, 318

GISCI 344
15 Points

Special Topic

GISCI 390
15 Points

Directed Study

Prerequisite: Approval of Programme Director or Major/Specialisation Lead

GISCI 399
15 Points

Capstone: GIScience

Students will independently demonstrate domain knowledge through applying their skills as members of groups completing a community-based GIScience projects serving needs identified by community stakeholders. Groups will be assembled based on skillsets of individual students (e.g., programming, remote sensing, advanced vector analysis, etc.), and students will be assessed on their independent contributions to the group project.

Prerequisite: 30 points at Stage III in Geographic Information Science

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