COMP90020 Distributed Algorithms
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2012:
Semester 2, Parkville - Taught on campus.Show/hide details
Timetable can be viewed here.
For information about these dates, click here.
|Time Commitment:||Contact Hours: 24 hours of lectures, 12 hours of tutorial/laboratory classes; Non-contact time commitment: 84 hours |
Total Time Commitment:
Study Period Commencement:
Semester 1, Semester 2
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|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 Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/
CoordinatorAssoc Prof Egemen Tanin
Dr Adrian Pearce
|Subject Overview:|| |
Topics covered include: synchronous and asynchronous network algorithms that address resource allocation, communication, consensus among distributed processes, distributed data structures, data consistency, deadlock detection, leader election, and global snapshots issues in distributed systems.
On successful completion students should:
Assignments on devising, analysing, and applying algorithms to solve real world problems during semester (40%) and a 3-hour written examination (60%). All components must be completed satisfactorily to pass the subject.
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|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
|Generic Skills:|| |
On completion of this subject students should:
|Bachelor of Computer Science (Honours) |
Master of Engineering in Distributed Computing
Master of Science (Computer Science)
Master of Software Systems Engineering
|Computer Science |
Master of Engineering (Software)