This page was first published on 14 November 2024 and was last amended on 26 November 2024. View details of the changes below. |
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Master of Professional Engineering (Accelerated) (Electrical) |
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To qualify for the award of the Master of Professional Engineering (Accelerated) (Electrical), a candidate must complete 96 credit points, including: |
1. 12 credit points of Professional Engineering units |
2. 60 credit points from a chosen Electrical Specialisation, including |
a. 48 credit points of Electrical Specialisation Core units |
b. 12 credit points of Electrical Specialisation Elective units |
Students enrolled in Electrical Stream Specialist Units (No Specialisation) complete 24 credit points of Stream Specialist Core units and 36 credit points of Stream Specialist Elective units. |
3. 12 credit points of Management Elective units |
4. A minimum of 12 credit points of Project or Research Pathway units |
Candidates undertaking the Research Pathway replace 12 credit points of Management Elective units with Research Pathway units |
5. ENGG5217 Practical Experience |
Specialisations |
Candidates in the Master of Professional Engineering (Electrical) complete a compulsory specialisation. A specialisation requires the completion of 60 credit points chosen from units of study listed in the table for that specialisation. 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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Power Engineering units |
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Students complete 12 credit points of Professional Engineering units. | ||
ENGG5202 Sustainable Design, Eng and Mgt |
6 | A General knowledge in science and calculus and understanding of basic principles of chemistry, physics and mechanics |
ENGG5204 Engineering Professional Practice |
6 | A Competences and experience in engineering obtained during an accepted engineering degree |
ENGG5217 Practical Experience |
0 | N ENGP1000 or ENGP2000 or ENGP3000 or ENGG4000 or CHNG5205 or AMME5010 or BMET5010 or CIVL5010 or ELEC5010 Students should have completed one year of their MPE program before enrolling in this unit. |
Specialisations |
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Intelligent Information Engineering Specialisation |
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Students complete 48 credit points of Intelligent Information Engineering Core units | ||
ELEC9304 Control |
6 | A Specifically the following concepts are assumed knowledge for this unit: familiarity with basic Algebra, Differential and Integral Calculus, Physics; solution of linear differential equations, Matrix Theory, eigenvalues and eigenvectors; linear electrical circuits, ideal op-amps; continuous linear time-invariant systems and their time and frequency domain representations, Laplace transform, Fourier transform N ELEC5735 |
ELEC9305 Digital Signal Processing |
6 | A Specifically the following concepts are assumed knowledge for this unit: familiarity with basic Algebra, Differential and Integral Calculus, continuous linear time-invariant systems and their time and frequency domain representations, Fourier transform, sampling of continuous time signals N ELEC5736 |
ELEC9506 Communications Networks |
6 | N ELEC5740 |
ELEC9607 Embedded Systems |
6 | A Logic operations, theorems and Boolean algebra, data representation, number operations (binary, hex, integers and floating point), combinational logic analysis and synthesis, sequential logic, registers, counters, bus systems, state machines, simple CAD tools for logic design, basic computer organisation, the CPU, peripheral devices, software organisation, machine language, assembly language, operating systems, data communications and computer networks N ELEC5741 |
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) |
Students complete 12 credit points of Intelligent Information Engineering Elective units | ||
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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Students complete 48 credit points of Internet of Things Core units | ||
ELEC9304 Control |
6 | A Specifically the following concepts are assumed knowledge for this unit: familiarity with basic Algebra, Differential and Integral Calculus, Physics; solution of linear differential equations, Matrix Theory, eigenvalues and eigenvectors; linear electrical circuits, ideal op-amps; continuous linear time-invariant systems and their time and frequency domain representations, Laplace transform, Fourier transform N ELEC5735 |
ELEC9305 Digital Signal Processing |
6 | A Specifically the following concepts are assumed knowledge for this unit: familiarity with basic Algebra, Differential and Integral Calculus, continuous linear time-invariant systems and their time and frequency domain representations, Fourier transform, sampling of continuous time signals N ELEC5736 |
ELEC9505 Communications |
6 | A ELEC9302 or similar. Fourier transform, fundamental in signals and systems theory, convolution, and similar techniques N ELEC5739 |
ELEC9506 Communications Networks |
6 | N ELEC5740 |
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. |
Students complete 12 credit points of Internet of Things Elective units | ||
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 Intelligent Electricity Networks |
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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Students complete 48 credit points of Power Engineering Core units | ||
ELEC9203 Electricity Networks |
6 | A This unit of study assumes a competence in first year mathematics (in particular, the ability to work with complex numbers), in elementary circuit theory and in basic electromagnetics N ELEC3203 or ELEC5732 |
ELEC9204 Power Electronics and Applications |
6 | A ELEC9704. Differential equations, linear algebra, complex variables, analysis of linear circuits. Fourier theory applied to periodic and non-periodic signals. Software such as MATLAB to perform signal analysis and filter design. Familiarity with the use of basic laboratory equipment such as oscilloscope, function generator, power supply, etc N ELEC5733 |
ELEC9206 Electrical Energy Conversion Systems |
6 | A ELEC9203. Following concepts are assumed knowledge for this unit of study: familiarity with circuit theory, electronic devices, AC power, capacitors and inductors, and electric circuits such as three-phase circuits and circuits with switches, the use of basic laboratory equipment such as oscilloscope and power supply N ELEC5734 |
ELEC9304 Control |
6 | A Specifically the following concepts are assumed knowledge for this unit: familiarity with basic Algebra, Differential and Integral Calculus, Physics; solution of linear differential equations, Matrix Theory, eigenvalues and eigenvectors; linear electrical circuits, ideal op-amps; continuous linear time-invariant systems and their time and frequency domain representations, Laplace transform, Fourier transform N ELEC5735 |
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 Intelligent Electricity Networks |
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 |
Students complete 12 credit points of Power Engineering Elective units | ||
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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Students complete 48 credit points of Telecommunications Engineering Core units | ||
ELEC9305 Digital Signal Processing |
6 | A Specifically the following concepts are assumed knowledge for this unit: familiarity with basic Algebra, Differential and Integral Calculus, continuous linear time-invariant systems and their time and frequency domain representations, Fourier transform, sampling of continuous time signals N ELEC5736 |
ELEC9506 Communications Networks |
6 | N ELEC5740 |
ELEC9505 Communications |
6 | A ELEC9302 or similar. Fourier transform, fundamental in signals and systems theory, convolution, and similar techniques N ELEC5739 |
ELEC9515 Digital Communication Systems |
6 | N ELEC5744 |
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 |
Students complete 12 credit points of Telecommunications Engineering Elective units | ||
ELEC5101 Antennas and Propagation |
6 | |
ELEC5403 Radio Frequency Engineering |
6 | A Students will be expected to be familiar with ELEC3404 - Electronic Circuit Design , ELEC3104 - Engineering Electromagnetics and the third year course in Circuit Design: ELEC3105 - Circuit Theory and Design. |
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 |
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 |
ELEC5760 Intelligent Networked Control |
6 | A Fundamentals of Control Systems and Telecommunications, some background in programming with Python or MATLAB. Basic maths |
Electrical Stream Specialist (No specialisation) |
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Students complete 24 credit points of Electrical Stream Specialist Core units | ||
ELEC9203 Electricity Networks |
6 | A This unit of study assumes a competence in first year mathematics (in particular, the ability to work with complex numbers), in elementary circuit theory and in basic electromagnetics N ELEC3203 or ELEC5732 |
ELEC9304 Control |
6 | A Specifically the following concepts are assumed knowledge for this unit: familiarity with basic Algebra, Differential and Integral Calculus, Physics; solution of linear differential equations, Matrix Theory, eigenvalues and eigenvectors; linear electrical circuits, ideal op-amps; continuous linear time-invariant systems and their time and frequency domain representations, Laplace transform, Fourier transform N ELEC5735 |
ELEC9305 Digital Signal Processing |
6 | A Specifically the following concepts are assumed knowledge for this unit: familiarity with basic Algebra, Differential and Integral Calculus, continuous linear time-invariant systems and their time and frequency domain representations, Fourier transform, sampling of continuous time signals N ELEC5736 |
ELEC9506 Communications Networks |
6 | N ELEC5740 |
Students complete 36 credit points of Electrical Stream Specialist Elective units | ||
ELEC5101 Antennas and Propagation |
6 | |
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 Intelligent Electricity Networks |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |
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 |
ELEC5403 Radio Frequency Engineering |
6 | A Students will be expected to be familiar with ELEC3404 - Electronic Circuit Design , ELEC3104 - Engineering Electromagnetics and the third year course in Circuit Design: ELEC3105 - Circuit Theory and Design. |
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. |
ELEC5614 Real Time Computing |
6 | A COMP2129 Operating Systems and Machine Principles and ELEC3607 Embedded Systems N MECH5701 |
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) |
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 |
Management Elective units |
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Students complete 12 credit points of Management Elective units. | ||
CSYS5010 Introduction to Complex Systems |
6 | |
ENGG5203 Quality Engineering and Management |
6 | A First degree in Engineering or a related discipline |
ENGG5214 Management of Technology |
6 | A Sound competence in all aspects of engineering, and some understanding of issues of engineering management |
ENGG5215 International Eng Strategy and Operations |
6 | A Sound competence in all aspects of engineering, and some understanding of issues of engineering management and globalisation |
ENGG5216 Management of Engineering Innovation |
6 | A Sound competence in all aspects of engineering, and some understanding of issues of engineering management |
PMGT5205 Professional Project Practice |
6 | N ENGG5205 |
Project units |
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All candidates are required to complete a minimum of 12 credit points of Project or Research units during the final year of study. | ||
Candidates achieving an average mark of 70% or higher are eligible for the Extended Capstone Project. Extended Capstone Project candidates take Capstone Project units ELEC5020 and ELEC5022 (total 18cp) in place of Capstone Project unit ELEC5021 and 6 credit points of Management Elective units. | ||
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 |
Research Pathway |
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Candidates achieving an average mark of 75% or higher are eligible for the Research Pathway. Research pathway candidates take Dissertation units ELEC5222 & ELEC5223 (total 24 credit points) in place of Capstone Project units and 12 credit points of Management Elective units. | ||
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. |
Major Industrial Project |
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Candidates undertaking the Major Industrial Project take ELEC5010 in place of ENGG5217 Practical Experience, ELEC5020/ELEC5021 Capstone Project A and B and 12 credit points of Management 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 |