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Distributed Computing
Master of Software EngineeringSpecialisation (formal)Year: 2024
Distributed Computing
Overview
Intended learning outcomes
Upon completion of this course, graduates will:
- have gained knowledge and practice in software engineering topics including software processes, project management, requirement analysis, modelling, design, architecture, implementation and testing;
- have gained knowledge and practice in advanced software engineering topics which include designing secure and reliable software, high integrity systems, distributed systems and advanced software architectures;
- be able to apply their knowledge to plan, manage, analyse, design and implement software products using appropriate processes;
- have developed problem solving and trouble shooting skills that may be applied in professional practice;
- be able to demonstrate proficiency over established and emerging engineering methods and tools to solve practical engineering problems;
- understand the basic principles underlying the management of physical, human and financial resource;
- be able to effectively work in teams to solve complex, open-ended software engineering problems that require significant research and exploration;
- have effective verbal and written communication skills that enable them to make a meaningful contribution to the changes facing society;
- be conversant with important issues relevant to sectors influenced by software engineering, such as the sustainability of resources, the efficient operation of all processes and privacy and security in the age of the internet;
- know and epitomize professional ethical behaviour and responsibilities towards their profession and the community, including having positive and responsible approaches to sustainable development, process and personal safety, management of information and professional integrity;
- have the ability to apply the principles and paradigms of distributed systems in design, development and critical reasoning;
- have the ability to design, implement, and evaluate a complex distributed application from first principles.
Last updated: 8 November 2024
Structure
75 credit points
The Distributed Computing specialisation is completed by undertaking 75 credit points of required study.
Note:
Students entering the course with advanced standing who plan on completing a specialisation may need to enrol in core specialisation subjects in their commencing semester. Please check and follow the structure outlined for your intended specialisation and seek course planning advice.
To obtain a specialisation in Distributed Computing, students must complete:
- 12.5 credit points of Year 2 core specialisation subject
- 12.5 credit points of Year 2 Software Engineering/Approved electives
- 50 credit points of Year 3 Distributed Computing electives
Year 1
- 50 credit points of Year 1 compulsory subjects
- 12.5 credit points of Year 1 Software Engineering Group A selectives
- 12.5 credit points of Year 1 Software Engineering Group B selectives
- 12.5 credit points of Year 1 Group A electives
- 12.5 credit points of Year 1 Group B electives
Year 2
- 75 credit points of Year 2 compulsory subjects
- 12.5 credit points of Year 2 core specialisation subject
- 12.5 credit points of electives
Year 3
- 50 credit points of Year 3 compulsory subjects
- 50 credit points of Distributed Computing electives
Progression:
The core subject lists are divided into specific year levels, reflecting the recommended order of completing the course. There is, however, some flexibility between Year 2 and 3 core subjects, depending on the requisites set between them. Check the individual Handbook entries of these subjects for more detail.
Subject options
Year 2 core specialisation subject
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90015 | Distributed Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
(Must be completed in Year 2 of the course)
Distributed Computing electives
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90017 | Sensor Networks and Applications | Not available in 2024 | 12.5 |
COMP90018 | Mobile Computing Systems Programming | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90020 | Distributed Algorithms | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90024 | Cluster and Cloud Computing | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90025 | Parallel and Multicore Computing | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90043 | Cryptography and Security | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90056 | Stream Computing and Applications | Not available in 2024 | 12.5 |
COMP90057 | Advanced Theoretical Computer Science | Not available in 2024 | 12.5 |
MCEN90031 | Applied High Performance Computing | Not available in 2024 | 12.5 |
ELEN90095 | AI for Robotics | Semester 2 (On Campus - Parkville) |
12.5 |
ELEN90096 | Hardware Accelerated Computing | Semester 2 (On Campus - Parkville) |
12.5 |
Master of Software Engineering subject lists
Please see the main Master of Software Engineering page for remaining relevant subject lists.
Last updated: 8 November 2024