Courses - Faculty of Science
Geographic Information Science
Stage I
Geographic Information and Spatial Thinking
An introduction to the conceptual base of Geographic Information Science, the practical use of geo-spatial data and various societal issues related to the use of Remote Sensing and Geographic Information Systems. This course will introduce students to a range of contemporary geospatial technologies. It covers key concepts and principles behind the development and application of these technologies. The course exercises cover a range of application of GIS for analysis and display of spatial data, focusing on non-programmable solutions.
Restriction: GEOG 210
Stage II
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
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
Restriction: GEOG 318
Stage III
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
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
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
