- Subject notes
LEARNING AND TEACHING METHODS
The subject will be delivered through a combination of lectures, tutorials, student presentations. Students will write a report and give a presentation.
INDICATIVE KEY LEARNING RESOURCES
The subject accesses a number of scholarly papers in the area which are presented through lecture slides. Papers are made available through LMS to the students. The subject also uses: Distributed Systems: Concepts and Design by Coulouris, Dollimore, Kindberg, and Blair, Fifth Edition, Addison-Wesley.
CAREERS / INDUSTRY LINKS
Distributed Algorithms are fundamental to understanding any Distributed System and multiple key information and communication technologies, these include but are not limited to the Internet, Banking Networks, and Mobile Systems.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Doctor of Philosophy - Engineering Course Master of Data Science Course Master of Information Technology Course Master of Science (Computer Science) Course Master of Philosophy - Engineering Course Ph.D.- Engineering Course Master of Information Technology Specialisation (formal) Software Informal specialisation Computer Science Major MIT Distributed Computing Specialisation Informal specialisation Master of Engineering (Mechatronics) Informal specialisation Master of Engineering (Software) Specialisation (formal) Mechatronics Major Computer Science Specialisation (formal) Distributed Computing
- 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.
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
Last updated: 2 December 2019