Software Engineering
Unit of study table
Master of Engineering (Software Engineering) |
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|---|---|---|
| To qualify for the award of the Master of Engineering in this stream, a candidate must complete 72 credit points, including: | ||
| 1. 24 credit points of Core units | ||
| 2. 24 credit points of Specialist units | ||
| 3. A minimum of 12 credit points of Research units | ||
| 4. A maximum of 12 credit points of Elective units | ||
| Candidates who have been granted 24 credit points of Reduced Volume Learning (RVL), must complete 48 credit points including: | ||
| 1. A minimum of 12 credit points of Core units | ||
| 2. A minimum of 24 credit points of Specialist units | ||
| 3. A minimum of 12 credit points of Research units | ||
| – Elective units are not available for candidates with RVL |
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
|---|---|---|
Core units |
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| ENGG5102 Entrepreneurship for Engineers |
6 | A Some limited industry experience is preferred but not essential N ELEC5701 |
| ENGG5202 Sustainable Design, Eng and Mgt |
6 | A General knowledge in science and calculus and understanding of basic principles of chemistry, physics and mechanics |
| ENGG5103 Safety Systems and Risk Analysis |
6 | |
| PMGT5205 Professional Project Practice |
6 | N ENGG5205 |
Specialist units |
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| COMP5047 Pervasive Computing |
6 | A ELEC1601 and (COMP2129 or COMP2017 or COMP9017). Background in programming and operating systems that is sufficient for the student to independently learn new programming tools from standard online technical materials N COMP4447 |
| COMP5416 Advanced Network Technologies |
6 | A COMP3221 OR ELEC3506 OR ELEC9506 OR ELEC5740 OR COMP5116 OR COMP9121 N COMP4416 |
| COMP5424 Information Technology in Biomedicine |
6 | A Experience with software development as covered in SOFT2412 or COMP9103 or COMP9003 (or equivalent UoS from different institutions) N COMP4424 |
| ELEC5618 Software Quality Engineering |
6 | A Writing programs with multiple functions or methods in multiple files; design of complex data structures and combination in non trivial algorithms; use of an integrated development environment; software version control systems |
| ELEC5619 Object Oriented Application Frameworks |
6 | A Java programming, and some web development experience are essential. Databases strongly recommended |
| ELEC5620 Model Based Software Engineering |
6 | A A programming language, basic maths |
| ELEC5622 Signals, Software and Health |
6 | A Mathematics (linear algebra and probabilities) and basic programming skills (python/matlab/C++/java) |
| Exchange units may be taken as Specialist units with the approval of the Program Director. | ||
Research units |
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| ELEC5020 Capstone Project A |
6 | P 96 cp from MPE degree program or 48 cp from the MPE(Accel) program or 24 cp from the ME program (including any credit for previous study) |
| ELEC5021 Capstone Project B |
6 | P ELEC5020 N ELEC5022 OR ELEC5222 OR ELEC5223 |
| ELEC5022 Capstone Project B Extended |
12 | P 24 credit points in the Master of Engineering and WAM >=70 or 96 credit points in the Master of Professional Engineering and WAM >=70 or 48cp from MPE(Accel) program and WAM >=70 N ELEC5021 OR ELEC5222 OR ELEC5223 |
| ELEC5222 Dissertation A |
12 | N ELEC8901 or ENGG5223 or ENGG5222 or ELEC8902 In order to enrol in a project, students must first secure an academic supervisor in an area that they are interested. The topic of your project must be determined in discussion with the supervisor. The supervisor can come from any of the Engineering Departments, however, they need to send confirmation of their supervision approval to the Postgraduate Administrator. |
| ELEC5223 Dissertation B |
12 | P ELEC5222 N ELEC8901 or ELEC8902 or ENGG5222 or ENGG5223 In order to enrol in a project, students must first secure an academic supervisor in an area that they are interested. The topic of your project must be determined in discussion with the supervisor. The supervisor can come from any of the Engineering Departments, however, they need to send confirmation of their supervision approval to the Postgraduate Administrator. |
| With permission from the Program Director candidates progressing with distinction (75%) average or higher results may replace ELEC5020, ELEC5021 and 12 credit points of electives with ELEC5222 & ELEC5223 Dissertation A & B. | ||
| A candidate who has been granted RVL and who is eligible to undertake the extended capstone project or dissertation may be granted exemption of up to 12 credit points of specialist units. | ||
Major Industrial Project |
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| Candidates undertaking the Major Industrial Project take ELEC5010 in place of ELEC5020/ELEC5021 Capstone Project A & B and 12 credit points of Specialist or Elective units of study. | ||
| ELEC5010 Major Industrial Project |
24 | P WAM >= 70 in prior semester enrolment N ELEC5020 or ELEC5021 or ELEC5022 or ELEC5222 or ELEC5223 or ENGG5217 |
Elective units |
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| Specialist units may also be taken as Elective units. | ||
| COMP5347 Web Application Development |
6 | A Experience with software development as covered in SOFT2412 or COMP9412 or INFO1113 or COMP9103 or COMP9003 and experience in database management systems as covered in ISYS2120 or COMP9120. |
| COMP5348 Enterprise Scale Software Architecture |
6 | A Experience with software development as covered in SOFT2412 or COMP9103 and also COMP2123 or COMP2823 or INFO1105 or INFO1905 (or equivalent UoS from different institutions) N COMP4348 |
| COMP5426 Parallel and Distributed Computing |
6 | A Experience with algorithm design and software development as covered in (COMP2017 or COMP9017) and COMP3027 (or equivalent UoS from different institutions) N COMP4426 OR OCMP5426 |
| ELEC5206 Sustainable Energy Systems |
6 | A A background in power electronics converters and control theory such as that covered in ELEC3204/9204 and ELEC3304/9304 is assumed |
| ELEC5208 Intelligent Electricity Networks |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |
| ELEC5304 Intelligent Visual Signal Understanding |
6 | A Mathematics (e.g. probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++) |
| ELEC5306 Video Intelligence and Compression |
6 | A Basic understanding of digital signal processing (filtering, DFT) and programming skills (e.g. Matlab/Java/Python/C++) |
| ELEC5307 Advanced Signal Processing with Deep Learning |
6 | A Mathematics (e.g., probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++) |
| ELEC5508 Wireless Engineering |
6 | A Basic knowledge in probability and statistics, analog and digital communications, error probability calculation in communications channels, and telecommunications network |
| ELEC5509 Mobile Networks |
6 | A ELEC3505 or ELEC9505 AND ELEC3506 or ELEC9506. Basically, students need to know the concepts of data communications and mobile communications. If you are not sure, please contact the instructor |
| ELEC5510 Satellite Communication Systems |
6 | A Knowledge of error probabilities, analog and digital modulation techniques and error performance evaluation studied in ELEC3505 Communications and ELEC4505 Digital Communication Systems, is assumed |
| ELEC5514 IoT Wireless Sensing and Networking |
6 | A ELEC3305 AND ELEC3506 AND ELEC3607 AND ELEC5508 |
| ELEC5517 Software Defined Networks |
6 | A ELEC3506 OR ELEC9506 |
| ELEC5616 Computer and Network Security |
6 | A A programming language, basic maths |
| INFO5010 IT Advanced Topic A |
6 | |
| INFO5011 IT Advanced Topic B |
6 | |
| INFO6010 Advanced Topics in IT Project Management |
6 | A Students are assumed to understand the role of IT projects P INFO6007 OR 3-5 years working experience in IT Project Management |
| INFS6004 Digital Business Transformation |
6 | A Understanding the major functions of a business and how those business functions interact internally and externally so the company can be competitive in a changing market. How digital technologies can be used and managed in a business. How to critically analyse a business and determine its options for digital transformation. Desirable Assumed Knowledge: Experience as a member of a project team C INFS5002 or COMP5206 |
