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Electrical Engineering (MPE)

Accelerated unit of study table

This page was first published on 14 November 2024 and was last amended on 26 November 2024.
View details of the changes below.

Master of Professional Engineering (Accelerated) (Electrical)

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:

  • Intelligent Information Engineering
  • Internet of Things
  • Power Engineering
  • Telecommunications Engineering
  • Electrical Stream Specialist Units (No Specialisation)
Unit of study Credit points A: Assumed knowledge P: Prerequisites
C: Corequisites N: Prohibition

Power Engineering units

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

Intelligent Information Engineering Specialisation
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
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
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
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)

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

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

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

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

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

Post-publication amendments

Date
Original publication
Post-publication amendment
21/11/2024 Prohibitions (N) for ENGG5217 published as: ENGP1000 or ENGP2000 or ENGP3000 or ENGG4000 or CHNG5205 or AMME5010 Prohibitions (N) for ENGG5217 amended to: ENGP1000 or ENGP2000 or ENGP3000 or ENGG4000 or CHNG5205 or AMME5010 or BMET5010 or CIVL5010 or ELEC5010
21/11/2024 No Prerequisites (P) for ELEC9204 Prerequisites (P) for ELEC9204 added: ELEC9704
26/11/2024 Prerequisites (P) for ELEC9204 published as:
"ELEC9704"
Prerequisites (P) for ELEC9204 removed: