Advanced Database Systems (COMP90050)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
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About this subject
Contact information
Semester 1
Prof Egemen Tanin
Winter Term
Farhana Choudhury
Overview
| Availability | Semester 1 - Dual-Delivery Winter Term - Dual-Delivery |
|---|---|
| Fees | Look up fees |
AIMS
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.
INDICATIVE CONTENT
Topics include:
- Introduction to High Performance Database Systems
- Issues of Performance and Reliability
- Transaction Processing
- Recovery from Failures
- Map Reduce Models.
Intended learning outcomes
On completion of this subject the student is expected to:
- Evaluate performance and reliability in building applications involving large-scale database systems
- Investigate and analyse database technologies used in large-scale applications such as search engines
- Apply the concepts and technologies underpinning new forms of Web data to database systems
- Have deep knowledge of transaction processing and recovery from failures and concepts employed in modern database systems
Generic skills
On completion of the subject the student should have the following skills:
- Ability to undertake problem identification, formulation, and solution
- Ability to utilise a systems approach to complex problems and to design and operational performance
- Ability to manage information and documentation
- Capacity for creativity and innovation
- Ability to communicate effectively, with the engineering team and with the community at large.
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
One of
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| INFO20003 | Database Systems |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| INFO90002 | Database Systems & Information Modelling |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
OR
Completion of 50 points of third year computing study or equivalent
OR
Admission into one of the following: MC-CS Master of Computer Science, MC-SCICMP Master of Science (Computer Science)
OR
Both of:
Admission into one of the following: 100pt Program course entry point in the MC-IT Master of Information Technology, 150pt Program course entry point in the MC-IT Master of Information Technology
AND
Selection of one of the following: Distributed Computing specialisation (formal) in the MC-IT Master of Information Technology, Artificial Intelligence specialisation (formal) in the MC-IT Master of Information Technology
OR
Both of:
Admission into the 100pt Program course entry point in the MC-IT Master of Information Technology
AND
Selection of the Computing specialisation (formal) in the MC-IT Master of Information Technology
OR
Admission into one of:
• Master of Data Science (MC-DATASC) - Data Science Background Stream
• Master of Data Science (MC-DATASC) - Computer Science Background Stream
Corequisites
None
Non-allowed subjects
None
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: 31 January 2024
Assessment
| Description | Timing | Percentage |
|---|---|---|
Five quizzes worth 2% each, run in weeks 3, 5, 7, 9, 11, during the semester. ILOs 1~4 are addressed in this assessment.
| From Week 3 to Week 11 | 10% |
One written group assignment, due in approximately week 12, of approximately 3500 words long, requiring approximately 50 - 55 hours of work per student. The assignment is an extensive survey of a research topic related to database technologies and requires an oral presentation to the class. The assignment is designed to address Intended Learning Outcomes (ILOs) 1-4 and all General skills
| Week 12 | 40% |
A written examination. This test assesses all topics covered in the subject.
| During the examination period | 50% |
Last updated: 31 January 2024
Dates & times
- Semester 1
Principal coordinator Egemen Tanin Mode of delivery Dual-Delivery (Parkville) 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 200 hours Teaching period 28 February 2022 to 29 May 2022 Last self-enrol date 11 March 2022 Census date 31 March 2022 Last date to withdraw without fail 6 May 2022 Assessment period ends 24 June 2022 Semester 1 contact information
Prof Egemen Tanin
- Winter Term
Principal coordinator Farhana Choudhury Mode of delivery Dual-Delivery (Parkville) Contact hours 36 hours, comprising 8 three-hour lectures (two per week) and 4 three-hour workshops (one per week) Total time commitment 200 hours Teaching period 27 June 2022 to 24 July 2022 Last self-enrol date 1 July 2022 Census date 8 July 2022 Last date to withdraw without fail 29 July 2022 Assessment period ends 5 August 2022 Winter Term contact information
Farhana Choudhury
Time commitment details
200 hours.
Last updated: 31 January 2024
Further information
- Texts
- Subject notes
LEARNING AND TEACHING METHODS
This course is taught over 12 weeks, each week with two one hour formal lectures and a one hour workshop. During the workshops the students are given problems to solve to reinforce the previous week’s lecturing material. The problem solving nature of the workshops is geared for the students to learn and understand the concepts of the subject material.
INDICATIVE KEY LEARNING RESOURCES
Transaction Processing: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) by Jim Gray and Andreas Reuter
Lecture slides
Addition published articles in Journals and Conferences
CAREERS / INDUSTRY LINKS
The concepts developed in the subject are relevant to many fields including IT, Engineering, Commerce, Government Organizations, Research Institutes and Institutions in Medicine where large scale database are used. Many industries are moving their applications to Cloud Platforms and understanding performance issues will be key to success to such transformations.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Data Science Course Master of Science (Computer Science) Course Ph.D.- Engineering Course Doctor of Philosophy - Engineering Course Master of Philosophy - Engineering Specialisation (formal) Computing Specialisation (formal) Distributed Computing Specialisation (formal) Software - 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.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
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
- Available to Study Abroad and/or Study Exchange Students
Last updated: 31 January 2024