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Spatial Data Infrastructure (GEOM90015)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
July
Overview
| Availability | July |
|---|---|
| Fees | Look up fees |
AIMS
In this subject, students will learn about the principles, concepts and design strategies used in the development of Spatial Data Infrastructure (SDI) as an enabling platform to facilitate multi-sourced data and service discovery, access, integration and use. An example of SDI is the land titles system and the tools used to maintain and interrogate it. Emphasis will be placed on both technological and institutional factors that facilitate the development of SDIs. Students will examine related disciplines such as land and marine administration as well as technical areas such as interoperability, web-mapping and web-delivery to better meet sustainable development objectives. This subject is of particular relevance to students who want to pursue a career in spatial data management, land administration, but is also relevant to a range of geomatic engineering disciplines that use and produce large spatial datasets for decision-making in support of sustainable development.
The subject partners with other subjects on spatial data management, spatial data analysis and spatial data visualization, and is of particular relevance to people wishing to establish a career in the spatial information industry, the environmental or planning industry.
INDICATIVE CONTENT
SDI concepts and theory, current SDI initiatives, SDI development strategies and development models; SDI as an enabling platform, SDI and Spatially Enabled Government and Society, SDI and partnership approaches, financing and capacity building, challenges for developed and developing countries, capacity building, marine SDI and seamless SDI, policy and privacy Issues, SDI and land administration, metadata, standards and clearinghouses, SDI application areas, and SDI implementation and benchmarking.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
On completion of this subject the student is expected to:
- Describe the core SDI principles
- Identify the necessary components required to support the development of SDIs, including technical and institutional arrangements and the basis of effective and efficient design
- Describe a range of technologies and technological concepts applicable for developing and maintaining SDIs
- Analyse the range of approaches to SDI development in both developed and developing countries
- Model, design and evaluate SDI initiatives and spatial enablement platforms.
Generic skills
On successful completion students should have:
- Ability to undertake problem identification, formulation, and solution
- Understanding of social, cultural, global, and environmental responsibilities and the need to employ principles of sustainable development
- Ability to communicate effectively with the engineering team and with the community at large.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Successful completion of the following is required to enrol in this subject:
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| GEOM90008 | Foundations of Spatial Information |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
GEOM90008 Foundations of Spatial Information may be taken concurrently.
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
An understanding of spatial data and relevant processes and service delivery concepts.
It is advisable that students undertake this subject in their final year of study.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Additional details
- One group major assignment of 5000 words per student member and a team presentation (15 min) requiring about 80 hours work per team member addressing ILOs 1 to 5, due one month after the end of the teaching period (60%)
- One selected topic presentation (15 min) requiring 15 – 20 hours work addressing ILOs 1,2 & 4, due during the teaching period (15%)
- A schedule of five instances of 4-question quizzes (multiple-choice) to be delivered during class-time over the course addressing ILOs 2 & 3, due during the teaching period (25%)
Last updated: 3 November 2022
Dates & times
- July
Mode of delivery On Campus (Parkville) Contact hours 48 hours (Lectures: 24 hours; Projects/Laboratories: 24 hours) Total time commitment 200 hours Teaching period 10 July 2017 to 20 July 2017 Last self-enrol date 12 July 2017 Census date 21 July 2017 Last date to withdraw without fail 11 August 2017 Assessment period ends 31 August 2017 July contact information
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
- Crompvoets, J., Rajabifard, A., van Loenen, B. and Delgado Fernandez, T. (2008), Multi-view Framework to Assess SDIs
- Rajabifard, A. (2007), Towards a Spatially Enabled Society. The University of Melbourne Press
- Williamson, I.P, Rajabifard, A. and Feeney, M.-E. (2003). Developing Spatial Data Infrastructures: From Concept to Reality. Taylor and Francis
- Subject notes
LEARNING AND TEACHING METHODS
The subject is based principally on content that has been developed from industry experience in designing, developing and implementing SDIs. This will be supplemented by guest presentations and seminars from industry professionals. A computer laboratory will be used to explore potential technological tools and different lab exercise that can be used to learn how to design and use different components related to SDIs. In the tutorials, students will work in groups to apply theory gained in the lectures to a real world industry case study. This learning will enable students to consolidate their knowledge in a practical and relevant way. Within their groups students will also prepare and present a minor research project on an affiliated topic of their interest selected from an extensive list.
INDICATIVE KEY LEARNING RESOURCES
The subject will utilise different sources (books, journal papers, conference papers, etc.) mostly available through the website for the Centre for SDIs and Land Administration, Department of Infrastructure Engineering, The University of Melbourne (www.csdila.unimelb.edu.au). The subject in particular will utilise the following books:
- ‘Developing Spatial Data Infrastructures: from concept to reality’, Taylor and Francis, 2003 UK, edited by Ian Williamson, Abbas Rajabifard and Mary-Ellen F. Feeney,
- ‘Towards a Spatially Enabled Society’, The University of Melbourne 2007, edited by Abbas Rajabifard, The University of Melbourne.
- ‘Multi-view Framework to Assess SDIs’, edited by Joep Crompvoets, Abbas Rajabifard, Bastiaan van Loenen and Tatiana Delgado Fernandez, 2008.
- and related scientific journal or conference publications (particularly from GSDI and INSPIRE conferences) will be also utilised.
CAREERS / INDUSTRY LINKS
Presenters from relevant government and private agencies will present guest lectures and seminars. Real-world examples of SDIs will be used as case studies.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Doctor of Philosophy - Engineering Course Master of Philosophy - Engineering Course Master of Spatial Information Science Course Master of Information Systems Course Master of Information Technology Course Master of Information Systems Course Master of Geographic Information Technology Course Master of Information Systems Course Ph.D.- Engineering Specialisation (formal) Spatial Specialisation (formal) Spatial Major Master of Engineering (Spatial) Major MIS Professional Specialisation Major MIS Research Specialisation Major MIT Spatial Specialisation Major MIS Health Specialisation - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
Last updated: 3 November 2022