Note: This is an archived Handbook entry from 2014.
|Dates & Locations:|| |
This subject is not offered in 2014.
|Time Commitment:||Contact Hours: 48 hours, comprising of two hours of lectures and two hours of laboratory exercises per week |
Total Time Commitment:
Successful completion of the following subject is required to enrol
Please Note: The prequisites for this subject may be taken concurrently:
Study Period Commencement:
|Recommended Background Knowledge:|| |
|Non Allowed Subjects:|| |
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
Spatial databases are fundamental to any geographical information system. Efficient and effective representation and retrieval of spatial information is a non-trivial task. This subject will introduce concepts, methods and approaches that allow for this representation and retrieval. The course is organized into three main modules: fundamentals of databases; fundamentals of spatial databases; advanced topics in spatial databases.
This subject builds on a student’s knowledge of computer programming, spatial information and databases. Students who successfully complete this subject may find professional employment in designing, implementing, customising and maintaining databases for the increasingly wide range of spatial software applications.
Fundamentals of spatial databases; spatial data modeling, including entity-relationship models; indexes and access methods, including B-trees, quadtrees, and R-trees; query languages and query processing.
INTENDED LEARNING OUTCOMES (ILO)
Having completed this unit the student is expected to:
Hurdle requirement: Students must achieve a mark of at least 50% in the written examination in order to pass this subject.
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This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
On successful completion of this subject students should be able to:
LEARNING AND TEACHING METHODS
There will be lectures associated with weekly lab exercises to be done in a computing lab. Students are expected to interact with real systems and interact with each other in the labs.
INDICATIVE KEY LEARNING RESOURCES
CAREERS / INDUSTRY LINKS
Next to Spatial Analysis, Spatial Databases are fundamental to Spatial Information Science and Geographic Information Systems. Students will acquire knowledge in SQL and some of the dominant database systems on the market, which will be essential for any future career they may aim to pursue.
Master of Geographic Information Technology |
Master of Information Technology
Master of Information Technology
Master of Philosophy - Engineering
Master of Spatial Information Science
Master of Engineering (Geomatics) |
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