Distributed Algorithms

Subject COMP90020 (2010)

Note: This is an archived Handbook entry from 2010.

Credit Points: 12.50
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2010:

Semester 2, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable


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: Not available
Prerequisites: 433-652: Distributed Systems
Corequisites: None
Recommended Background Knowledge:

None
Non Allowed Subjects:

None
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/

Coordinator

Dr Egemen Tanin

Contact

Melbourne School of Engineering Office
Building 173, Grattan Street
The University of Melbourne
VIC 3010 Australia
General telephone enquiries
+ 61 3 8344 6703
+ 61 3 8344 6507
Facsimiles
+ 61 3 9349 2182
+ 61 3 8344 7707
Email
eng-info@unimelb.edu.au

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.
Objectives: On successful completion students should :
  • Have developed an understanding of distributed algorithm design
  • Be able to implement and analyse distributed algorithms
  • Be able to undertake problem identification, formulation and solution
Assessment: 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.
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 this subject students should:

  • Have a capacity for independent critical thought, rational inquiry and self-directed learning; and
  • Have a profound respect for truth and intellectual integrity, and for the ethics of scholarship
Related Course(s): Bachelor of Computer Science (Honours)
Master of Engineering in Distributed Computing
Master of Software Systems Engineering

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