Electrical Engineering
Unit of study table
Master of Engineering (Electrical) |
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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. 42 credit points of Stream units, consisting of: | |||
a. 30 credit points of Specialisation units, including: |
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i. 24 credit points of Specialisation Core units, and |
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ii. 6 credit points of Specialisation Selective units |
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b. 12 credit points of Stream Elective units |
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| 2. A minimum of 12 credit points of Research units | |||
| 3. 12 credit points of Engineering Management & Leadership units | |||
| 4. A maximum of 6 credit points of Breadth Elective units | |||
| Candidates who have been granted 24 credit points of Reduced Volume Learning (RVL), must complete 48 credit points including: | |||
| 1. 30 credit points of Stream units, consisting of: | |||
a. 30 credit points of Specialisation units, including: |
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i. 24 credit points of Specialisation Core units, and |
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ii. 6 credit points of Specialisation Selective units |
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| 2. A minimum of 12 credit points of Research units | |||
| 3. 6 credit points of Engineering Management & Leadership units | |||
| – Breadth Elective units are not available for candidates with RVL | |||
| Specialisations | |||
Candidates in the Master of Engineering (Electrical) complete a compulsory specialisation. A specialisation requires the completion of 30 credit points, including 24 credit points of Specialisation core units and 6 credit points of Specialisation selective units. The available specialisations are:
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| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
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Specialisations |
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Intelligent Information Engineering Specialisation |
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Intelligent Information Engineering Specialisation Core units |
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| ELEC5304 Intelligent Visual Signal Understanding |
6 | A Mathematics (e.g. probability and linear algebra) 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++) |
| ELEC5308 Intelligent Information Engineering Practice |
6 | A Students must have a good understanding of Linear algebra and basic mathematics, Basic Programming skills in C, Python or Matlab |
| ELEC5622 Signals, Software and Health |
6 | A Mathematics (linear algebra and probabilities) and basic programming skills (python/matlab/C++/java) |
Intelligent Information Engineering Specialisation Selective units |
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| ELEC5305 Acoustics, Speech and Signal Processing |
6 | A (ELEC2302 or ELEC9302) and (ELEC3305 or ELEC9305). Linear algebra, fundamental concepts of signals and systems as covered in ELEC2302/ELEC9302, fundamental concepts of digital signal processing as covered in ELEC3305/9305. It would be unwise to attempt this unit without the assumed knowledge- if you are not sure, please contact the instructor |
| ELEC5306 Video Intelligence and Compression |
6 | A Basic understanding of digital signal processing (filtering, DFT) and programming skills (e.g. Matlab/Java/Python/C++) |
| ELEC5516 Electrical and Optical Sensor Design |
6 | A Math Ext 1, fundamental concepts of signal and systems, fundamental electrical circuit theory and analysis |
| ELEC5517 Software Defined Networks |
6 | A ELEC3506 or ELEC9506 |
| ELEC5701 Technology Venture Creation |
6 | N ENGG5102 |
Internet of Things Specialisation |
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Internet of Things Specialisation Core units |
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| 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 |
| ELEC5514 IoT Wireless Sensing and Networking |
6 | A ELEC3305 and ELEC3506 and ELEC3607 and ELEC5508 |
| ELEC5517 Software Defined Networks |
6 | A ELEC3506 or ELEC9506 |
| ELEC5518 IoT for Critical Infrastructures |
6 | A Some background in programming with Python or MATLAB. Background in communication systems. Basic maths. |
Internet of Things Specialisation Selective 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 |
| COMP5216 Mobile Computing |
6 | A COMP5214 or COMP9103 or COMP9003. Software Development in JAVA, or similar introductory software development units N COMP4216 |
| 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 |
| ELEC5208 Active Distribution Systems |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |
| ELEC5508 Wireless Engineering |
6 | A Basic knowledge in probability and statistics, analog and digital communications, error probability calculation in communications channels, and telecommunications network |
| ELEC5616 Computer and Network Security |
6 | A A programming language, basic maths |
| ELEC5760 Intelligent Networked Control |
6 | A Fundamentals of Control Systems and Telecommunications, some background in programming with Python or MATLAB. Basic maths |
Power Engineering Specialisation |
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Power Engineering Specialisation Core units |
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| ELEC5204 Power Systems Analysis and Protection |
6 | A (ELEC3203 or ELEC9203 or ELEC5732) and (ELEC3206 or ELEC9206 or ELEC5734). The unit assumes basic knowledge of circuits, familiarity with basic mathematics, competence with basic circuit theory and an understanding of three phase systems, transformers, transmission lines and associated modeling and operation of such equipment |
| 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 Active Distribution Systems |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |
| ELEC5212 Power System Planning and Markets |
6 | A ELEC3203 or ELEC9203 or ELEC5732. The assumed knowledge for learning this UoS is power system steady state analysis |
Power Engineering Specialisation Selective units |
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| ELEC5203 Topics in Power Engineering |
6 | A Competence with linear algebra, differential calculus, numerical methods and Matlab; basic programming skills (Python or Matlab); familiarity with basic physics |
| ELEC5205 High Voltage Engineering |
6 | A The following previous knowledge is assumed for this unit. Circuit analysis techniques, electricity networks, power system fundamentals |
| ELEC5207 Advanced Power Conversion Technologies |
6 | A ELEC3204 |
| ELEC5211 Power System Dynamics and Control |
6 | A ELEC3203 or ELEC9203 or ELEC5732. The assumed knowledge for learning this UoS is a deep understanding on circuit analysis and its applications in power system steady state analysis |
| ELEC5213 Engineering Optimisation |
6 | A Linear algebra, differential calculus, and numerical methods. Competency at programming in a high-level language (such as Matlab or Python) |
Telecommunications Engineering Specialisation |
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Telecommunications Engineering Specialisation units |
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| 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 |
| ELEC5512 Optical Networks |
6 | A Knowledge of digital communications, wave propagation, and fundamental optics |
Telecommunications Engineering Specialisation Selective units |
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| ELEC5101 Antennas and Propagation |
6 | |
| ELEC5507 Error Control Coding |
6 | A Fundamental mathematics including probability theory and linear algebra. Basic knowledge on digital communications. Basic MATLAB programming skills is desired |
| ELEC5511 Optical Communication Systems |
6 | A (ELEC3405 or ELEC9405) and (ELEC3505 or ELEC9505). Basic knowledge of communications, electronics and photonics |
| ELEC5514 IoT Wireless Sensing and Networking |
6 | A ELEC3305 and ELEC3506 and ELEC3607 and ELEC5508 |
| ELEC5516 Electrical and Optical Sensor Design |
6 | A Math Ext 1, fundamental concepts of signal and systems, fundamental electrical circuit theory and analysis |
Stream Electives |
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| Students complete 12 credit points of stream elective units. Students with RVL do not complete stream electives. | ||
| ELEC5203 Topics in Power Engineering |
6 | A Competence with linear algebra, differential calculus, numerical methods and Matlab; basic programming skills (Python or Matlab); familiarity with basic physics |
| ELEC5204 Power Systems Analysis and Protection |
6 | A (ELEC3203 or ELEC9203 or ELEC5732) and (ELEC3206 or ELEC9206 or ELEC5734). The unit assumes basic knowledge of circuits, familiarity with basic mathematics, competence with basic circuit theory and an understanding of three phase systems, transformers, transmission lines and associated modeling and operation of such equipment |
| ELEC5205 High Voltage Engineering |
6 | A The following previous knowledge is assumed for this unit. Circuit analysis techniques, electricity networks, power system fundamentals |
| 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 |
| ELEC5207 Advanced Power Conversion Technologies |
6 | A ELEC3204 |
| ELEC5208 Active Distribution Systems |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |
| ELEC5203 Topics in Power Engineering |
6 | A Competence with linear algebra, differential calculus, numerical methods and Matlab; basic programming skills (Python or Matlab); familiarity with basic physics |
| ELEC5211 Power System Dynamics and Control |
6 | A ELEC3203 or ELEC9203 or ELEC5732. The assumed knowledge for learning this UoS is a deep understanding on circuit analysis and its applications in power system steady state analysis |
| ELEC5212 Power System Planning and Markets |
6 | A ELEC3203 or ELEC9203 or ELEC5732. The assumed knowledge for learning this UoS is power system steady state analysis |
| ELEC5213 Engineering Optimisation |
6 | A Linear algebra, differential calculus, and numerical methods. Competency at programming in a high-level language (such as Matlab or Python) |
| ELEC5304 Intelligent Visual Signal Understanding |
6 | A Mathematics (e.g. probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++) |
| ELEC5305 Acoustics, Speech and Signal Processing |
6 | A (ELEC2302 or ELEC9302) and (ELEC3305 or ELEC9305). Linear algebra, fundamental concepts of signals and systems as covered in ELEC2302/ELEC9302, fundamental concepts of digital signal processing as covered in ELEC3305/9305. It would be unwise to attempt this unit without the assumed knowledge- if you are not sure, please contact the instructor |
| 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++) |
| ELEC5308 Intelligent Information Engineering Practice |
6 | A Students must have a good understanding of Linear algebra and basic mathematics, Basic Programming skills in C, Python or Matlab |
| ELEC5405 Building Microchips: From Theory to Practice |
6 | A Basic knowledge of physics and semiconductor devices (e.g., PN junctions, electrons and holes) is assumed |
| ELEC5507 Error Control Coding |
6 | A Fundamental mathematics including probability theory and linear algebra. Basic knowledge on digital communications. Basic MATLAB programming skills is desired |
| 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 |
| ELEC5511 Optical Communication Systems |
6 | A (ELEC3405 or ELEC9405) and (ELEC3505 or ELEC9505). Basic knowledge of communications, electronics and photonics |
| ELEC5512 Optical Networks |
6 | A Knowledge of digital communications, wave propagation, and fundamental optics |
| ELEC5514 IoT Wireless Sensing and Networking |
6 | A ELEC3305 and ELEC3506 and ELEC3607 and ELEC5508 |
| ELEC5516 Electrical and Optical Sensor Design |
6 | A Math Ext 1, fundamental concepts of signal and systems, fundamental electrical circuit theory and analysis |
| ELEC5517 Software Defined Networks |
6 | A ELEC3506 or ELEC9506 |
| ELEC5518 IoT for Critical Infrastructures |
6 | A Some background in programming with Python or MATLAB. Background in communication systems. Basic maths. |
| ELEC5616 Computer and Network Security |
6 | A A programming language, basic maths |
| 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) |
| ELEC5623 Applied Generative AI in Engineering |
6 | A Students must have a basic understanding of artificial intelligence, software engineering and be proficient in Linear algebra, Python Programming |
| ELEC5701 Technology Venture Creation |
6 | N ENGG5102 |
| ELEC5760 Intelligent Networked Control |
6 | A Fundamentals of Control Systems and Telecommunications, some background in programming with Python or MATLAB. Basic maths |
Research units |
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| ELEC5020 Capstone Project A |
6 | P 96 credit points from MPE degree program or 48 credit points from the MPE(Accel) program or 24 credit points 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 48 credit points 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 and B and 12 credit points of Elective units of study. | ||
| ELEC5010 Major Industrial Project |
24 | A WAM >= 70 in prior semester enrolment N ELEC5020 or ELEC5021 or ELEC5022 or ELEC5222 or ELEC5223 or ENGG5217 |
