Advanced Database Systems
Subject COMP90050 (2013)
Note: This is an archived Handbook entry from 2013.
Credit Points: | 12.50 |
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Level: | 9 (Graduate/Postgraduate) |
Dates & Locations: | This subject is not offered in 2013. |
Time Commitment: | Contact Hours: 36 hours, made up of 24 one-hour lectures (two per week) and 12 one-hour workshops (one per week) Total Time Commitment: 120 hours. |
Prerequisites: | One of the following: Subject Study Period Commencement: Credit Points: AND Completion of 50 points of third year computing study or equivalent. GRADUATE Admission to Masters degree. |
Corequisites: | None |
Recommended Background Knowledge: | None |
Non Allowed Subjects: | Subject 433-421 Web Technologies and Applications |
Core Participation Requirements: |
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Overview, Objectives, 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 the Disability Liaison Unit: http://www.services.unimelb.edu.au/disability/ |
Subject Overview: |
Many applications require access to very large amounts of data. These applications often require reliability (data must not be lost even in the presence of hardware failures), and the ability to retrieve and process the data very efficiently. The subject will cover the technologies used in advanced database systems. Topics covered will include: transactions, including concurrency, reliability (the ACID properties) and performance; and indexing of both structured and unstructured data. The subject will also cover additional topics such as: uncertain data; Xquery; the Semantic Web and the Resource Description Framework; dataspaces and data provenance; datacentres; and data archiving. |
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Objectives: |
On completion of this subject students should be able to: 1. Understand issues related performance and reliability in building applications involving large-scale database systems. |
Assessment: |
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Prescribed Texts: | None |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Generic Skills: |
On completion of the subject the student should have the:
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Related Course(s): |
Master of Engineering in Distributed Computing Master of Information Technology Master of Information Technology Master of Information Technology Master of Philosophy - Engineering Master of Science (Computer Science) Master of Software Systems Engineering Ph.D.- Engineering |
Related Majors/Minors/Specialisations: |
B-ENG Software Engineering stream Master of Engineering (Software) |
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