University of Sydney Handbooks - 2021 Archive

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Electrical Engineering

For more information on degree program requirements visit CUSP.

Unit outlines will be available through Find a unit outline two weeks before the first day of teaching for 1000-level and 5000-level units, or one week before the first day of teaching for all other units.
 

Unit of study Credit points A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition Session

Master of Engineering majoring in Electrical Engineering

To qualify for the award of the Master of Engineering in this specialisation, 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

Core units

ENGG5102
Entrepreneurship for Engineers
6    A Some limited industry experience is preferred but not essential.
N ELEC5701
Semester 1
ENGG5202
Sustainable Design, Eng and Mgt
6    A General knowledge in science and calculus and understanding of basic principles of chemistry, physics and mechanics
Semester 1
ENGG5103
Safety Systems and Risk Analysis
6      Semester 2
PMGT5871
Project Process Planning and Control
6    N PMGT6871
Intensive February
Intensive July
Semester 1
Semester 2

Specialist units

ELEC5101
Antennas and Propagation
6      Semester 2
ELEC5203
Topics in Power Engineering

This unit of study is not available in 2021

6    A ELEC3203 Power Engineering and ELEC3204 Power Electronics and Drives. Familiarity with basic mathematics and physics; competence with basic circuit theory and understanding of electricity grid equipment such as transformers, transmission lines and associated modeling; and fundamentals of power electronic technologies.
Semester 2
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.
Semester 1
ELEC5205
High Voltage Engineering

This unit of study is not available in 2021

6    A The following previous knowledge is assumed for this unit. Circuit analysis techniques, electricity networks, power system fundamentals.
P (ELEC3203 OR ELEC9203 OR ELEC5732) AND (ELEC3206 OR ELEC9206 OR ELEC5734)
Semester 2
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.
Semester 2
ELEC5207
Advanced Power Conversion Technologies
6    A ELEC3204
Semester 2
ELEC5208
Intelligent Electricity Networks
6    A Fundamentals of Electricity Networks, Control Systems and Telecommunications
Semester 1
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.
Semester 1
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
Semester 2
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)
Semester 1
ELEC5304
Intelligent Visual Signal Understanding
6    A Mathematics (e.g. probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++)
Semester 1
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.
Semester 2
ELEC5306
Video Intelligence and Compression
6    A Basic understanding of digital signal processing (filtering, DFT) and programming skills (e.g. Matlab/Java/Python/C++)
Semester 1
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++)
Semester 2
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
Semester 2
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.
Semester 1
ELEC5508
Wireless Engineering
6    A Basic knowledge in probability and statistics, analog and digital communications, error probability calculation in communications channels, and telecommunications network.
Semester 2
ELEC5509
Mobile Networks
6    A ELEC3505 AND ELEC3506. Basically, students need to know the concepts of data communications and mobile communications, which could be gained in one the following units of study: ELEC3505 Communications, ELEC3506 Data Communications and the Internet, or similar units. If you are not sure, please contact the instructor.
Semester 1
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.
Semester 2
ELEC5511
Optical Communication Systems
6    A (ELEC3405 OR ELEC9405) AND (ELEC3505 OR ELEC9505). Basic knowledge of communications, electronics and photonics
Semester 1
ELEC5512
Optical Networks
6    A Knowledge of digital communications, wave propagation, and fundamental optics
Semester 2
ELEC5514
Networked Embedded Systems
6    A ELEC3305 AND ELEC3506 AND ELEC3607 AND ELEC5508
Semester 2
ELEC5516
Electrical and Optical Sensor Design
6    A Math Ext 1, fundamental concepts of signal and systems, fundamental electrical circuit theory and analysis
Semester 1
ELEC5517
Software Defined Networks
6    A ELEC3506 OR ELEC9506
Semester 2
ELEC5518
IoT for Critical Infrastructures
6      Semester 1
ELEC5701
Technology Venture Creation

This unit of study is not available in 2021

6    N ENGG5102
Semester 2
Exchange units may be taken as Specialist units with the approval of the Program Director.

Research units

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).
Semester 1
Semester 2
ELEC5021
Capstone Project B
6    C ELEC5020
N ELEC5022 OR ELEC5222 OR ELEC5223

Note: Department permission required for enrolment

Semester 1
Semester 2
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

Note: Department permission required for enrolment

Semester 1
Semester 2
ELEC5222
Dissertation A
12    N ELEC8901 or ENGG5223 or ENGG5222 or ELEC8902

Note: Department permission required for enrolment
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.
Semester 1
Semester 2
ELEC5223
Dissertation B
12    N ELEC8901 or ELEC8902 or ENGG5222 or ENGG5223

Note: Department permission required for enrolment
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.
Semester 1
Semester 2
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.

Elective units

Specialist units may also be taken as Elective units.
COMP5047
Pervasive Computing

This unit of study is not available in 2021

6    A ELEC1601 AND (COMP2129 OR COMP2017). Background in programming and operating systems that is sufficient for the student to independently learn new programming tools from standard online technical materials.

Note: Department permission required for enrolment

Semester 2
COMP5416
Advanced Network Technologies
6    A ELEC3506 OR ELEC9506 OR ELEC5740 OR COMP5116
Semester 2
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).
Semester 1
ELEC5616
Computer and Network Security
6    A A programming language, basic maths.
Semester 1
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.
Semester 1
ELEC5619
Object Oriented Application Frameworks
6    A Java programming, and some web development experience are essential. Databases strongly recommended
Semester 2
ELEC5620
Model Based Software Engineering
6    A A programming language, basic maths.
Semester 2
ELEC5622
Signals, Software and Health
6    A Mathematics (linear algebra and probabilities) and basic programming skills (python/matlab/C++/java)
Semester 2