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Fenner School of Environment and Society · ANU College of Systems and Society
intensive course: In 2026, the face-to-face component will be delivered 13 – 17July. In person exam 27 July. Project work up to week 6 of Sem2. Geographic Information Systems have advanced rapidly in recent decades and now play an important role in environment and society issues including land and water management, forestry, climate science, biodiversity conservation, urban and rural planning, and social research. Spatial data are becoming increasingly accessible and are being utilised by a wide range of government and research agencies, consulting firms and other private businesses. This course focuses on social and urban applications of GIS. The first part of the course covers key concepts and skills including models of geographic accessibility, network analysis, geocoding and socio-demographic disadvantage. During the second part of the course students are provided with a range of research topics and spatial datasets to independently investigate and write a research paper.
Social Atlas Assignment
Learning outcomes 1, 2, 3
Research paper (2000 words)
Learning outcomes 1, 2, 3, 4
Examination
Learning outcomes 1, 2, 4
The expected workload will consist of approximately 130 hours throughout the semester including: - Lecture content presenting core theory will be accessible via self paced recordings. - Face-to-face activities will be a mixture of GIS software application, discussions linking theory and project work. Application of theory and practical software skill development will occur each week, face-to-face in the computer laboratories. This component may consist of 22 hours. - Approximately 108 hours of independent student research, listening to pre-recorded material, reading and writing. Students are expected to actively participate and contribute towards discussions. Work Integrated Learning Other Knowledge and skills developed in this course are highly sought in the industry. All projects are based on real-world, drawing on existing government datasets, analysed to industry best practice standards and presented in formats expected by employers. Other Information A limit will apply on admission into this course. Students will be given permision to enrol on a first come-first serve basis and should request permission to add the course via the following website.
Not applicable.