Note: This is an archived Handbook entry from 2015.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2015:Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|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:
One of the following:
Study Period Commencement:
Not offered in 2015
Not offered in 2015
Semester 1, Semester 2
Completion of 50 points of third year computing study or equivalent.
GRADUATE Admission to Masters degree.
|Recommended Background Knowledge:|| |
|Non Allowed Subjects:|| |
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 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
CoordinatorProf Rao Kotagiri
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.
INTENDED LEARNING OUTCOMES (ILO)
On completion of this subject the student is expected to:
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
On completion of the subject the student should have the following skills:
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
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.
Master of Information Technology |
Master of Information Technology
Master of Philosophy - Engineering
Master of Science (Computer Science)
Master of Software Systems Engineering
B-ENG Software Engineering stream |
MIT Computing Specialisation
MIT Distributed Computing Specialisation
MIT Spatial Specialisation
Master of Engineering (Software)
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