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Distributed Systems (COMP90015)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Dr Aaron Harwood
email: aharwood@unimelb.edu.au
Dr Adel Nadjaran
email: adel.nadjaran@unimelb.edu.au
Semester 2
Dr Aaron Harwood
email: aharwood@unimelb.edu.au
Dr Adel Nadjaran
email: adel.nadjaran@unimelb.edu.au
Overview
Availability | Semester 1 Semester 2 |
---|---|
Fees | Look up fees |
AIMS
The subject aims to provide an understanding of the principles on which the Web, Email, DNS and other interesting distributed systems are based. Questions concerning distributed architecture, concepts and design; and how these meet the demands of contemporary distributed applications will be addressed.
INDICATIVE CONTENT
Topics covered include: characterization of distributed systems, system models, interprocess communication, remote invocation, indirect communication, operating system support, distributed objects and components, web services, security, distributed file systems, and name services.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
On completion of this subject the student is expected to:
- Have an understanding of the principles and paradigms underlying distributed software systems
- Obtain experience developing distributed applications
Generic skills
On completion of this subject students should have the following skills:
- Ability to undertake problem identification, formulation and solution
- Capacity for independent critical thought, rational inquiry and self-directed learning
- Profound respect for truth and intellectual integrity, and for the ethics of scholarship.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP90041 | Programming and Software Development |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90038 | Algorithms and Complexity |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
COMP90007 | Internet Technologies |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
OR admission into one of the following courses:
- MC-ENG Master of Engineering, all entry points
- MC-IS Master of Information Systems, 100 or 150 point program
- MC-SCICMP Master of Science (Computer Science)
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: 3 November 2022
Assessment
Additional details
- Intended Learning Outcomes (ILOs) 1 and 2 are addressed by extensive Project work of approximately 50-55 hours of work during semester (40%), which reinforce lecture content and develop programming and writing skills. Project work is assessed in stages throughout the semester, with half of the work typically due in Week 8 and the remaining work due in Week 12.
- ILO 1 is further addressed by a 3-hour written examination (60%)
Hurdle requirement: To pass the subject, students must obtain at least:
- 50% overall
- 20/40 in the Project work
- 30/60 in the end-of-semester written examination.
Last updated: 3 November 2022
Dates & times
- Semester 1
Principal coordinator Rajkumar Buyya Mode of delivery On Campus (Parkville) Contact hours 36 hours, comprising of two hours of lectures and one hour of tutorial/laboratory classes per week Total time commitment 200 hours Teaching period 27 February 2017 to 28 May 2017 Last self-enrol date 10 March 2017 Census date 31 March 2017 Last date to withdraw without fail 5 May 2017 Assessment period ends 23 June 2017 Semester 1 contact information
Dr Aaron Harwood
email: aharwood@unimelb.edu.au
Dr Adel Nadjaran
email: adel.nadjaran@unimelb.edu.au - Semester 2
Principal coordinator Rajkumar Buyya Mode of delivery On Campus (Parkville) Contact hours 36 hours, comprising of two hours of lectures and one hour of tutorial/laboratory classes per week Total time commitment 200 hours Teaching period 24 July 2017 to 22 October 2017 Last self-enrol date 4 August 2017 Census date 31 August 2017 Last date to withdraw without fail 22 September 2017 Assessment period ends 17 November 2017 Semester 2 contact information
Dr Aaron Harwood
email: aharwood@unimelb.edu.au
Dr Adel Nadjaran
email: adel.nadjaran@unimelb.edu.au
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
None
Recommended texts and other resources
TBA
- Subject notes
LEARNING AND TEACHING METHODS
The subject will be delivered through a combination of lectures, tutorials and project work. The project work involves developing a distributed application and writing a report.
INDICATIVE KEY LEARNING RESOURCES
Students will have access to lecture notes and lecture slides. The subject LMS site also contains links to recommended literature and current survey papers of distributed system principles and paradigms.
CAREERS / INDUSTRY LINKS
The subject provides the fundamentals in distributed systems that support a career in areas such as IT System Engineer, Enterprise Architect, Analytics, Software Developer, Systems Administration, and Network Engineer.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Data Science Course Master of Science (Computer Science) Course Doctor of Philosophy - Engineering Course Master of Philosophy - Engineering Course Master of Information Technology Course Master of Information Technology Course Ph.D.- Engineering Informal specialisation Computer Science Specialisation (formal) Health Major MIT Health Specialisation Specialisation (formal) Software with Business Informal specialisation Master of Engineering (Mechatronics) Major MIT Computing Specialisation Informal specialisation Master of Engineering (Software) Specialisation (formal) Spatial Specialisation (formal) Software Informal specialisation Master of Engineering (Software with Business) Specialisation (formal) Mechatronics Major MIT Spatial Specialisation Major MIT Distributed Computing Specialisation Major Computer Science Specialisation (formal) Computing 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: 3 November 2022