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#
Intelligent Information Engineering

##
Unit of study table

This page was first published on 21 November 2022 and was last amended on 15 December 2022.View details of the changes below. |
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## Master of Engineering (Intelligent Information 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. A minimum of 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 |

Unit of study |
Credit points |
A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
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## Core units |
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ENGG5102Entrepreneurship for Engineers |
6 | A Some limited industry experience is preferred but not essentialN ELEC5701 |

ENGG5202Sustainable Design, Eng and Mgt |
6 | A General knowledge in science and calculus and understanding of basic principles of chemistry, physics and mechanics |

ENGG5103Safety Systems and Risk Analysis |
6 | |

PMGT5871Project Planning |
6 | N PMGT6871 |

## Specialist Elective units |
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ELEC5304Intelligent Visual Signal Understanding |
6 | A Mathematics (e.g. probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++) |

ELEC5305Acoustics, 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 |

ELEC5306Video Intelligence and Compression |
6 | A Basic understanding of digital signal processing (filtering, DFT) and programming skills (e.g. Matlab/Java/Python/C++) |

ELEC5307Advanced Signal Processing with Deep Learning |
6 | A Mathematics (e.g., probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++) |

ELEC5516Electrical and Optical Sensor Design |
6 | A Math Ext 1, fundamental concepts of signal and systems, fundamental electrical circuit theory and analysis |

ELEC5517Software Defined Networks |
6 | A ELEC3506 OR ELEC9506 |

ELEC5622Signals, 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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ELEC5020Capstone 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) |

ELEC5021Capstone Project B |
6 | C ELEC5020N ELEC5022 OR ELEC5222 OR ELEC5223 |

ELEC5022Capstone 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 >=70N ELEC5021 OR ELEC5222 OR ELEC5223 |

ELEC5222Dissertation A |
12 | N ELEC8901 or ENGG5223 or ENGG5222 or ELEC8902In 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. |

ELEC5223Dissertation B |
12 | N ELEC8901 or ELEC8902 or ENGG5222 or ENGG5223In 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 students 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 |
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Specialist units may also be taken as Elective units. | ||

ELEC5101Antennas and Propagation |
6 | |

ELEC5203Topics 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 |

ELEC5204Power 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 |

ELEC5205High Voltage Engineering |
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) |

ELEC5206Sustainable 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 |

ELEC5207sAdvanced Power Conversion Technologie |
6 | A ELEC3204 |

ELEC5208Intelligent Electricity Networks |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |

ELEC5211Power 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 |

ELEC5212Power System Planning and Markets |
6 | A ELEC3203 OR ELEC9203 OR ELEC5732. The assumed knowledge for learning this UoS is power system steady state analysis |

ELEC5308Intelligent 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 |

ELEC5507Error Control Coding |
6 | A Fundamental mathematics including probability theory and linear algebra. Basic knowledge on digital communications. Basic MATLAB programming skills is desired |

ELEC5508Wireless Engineering |
6 | A Basic knowledge in probability and statistics, analog and digital communications, error probability calculation in communications channels, and telecommunications network |

ELEC5509Mobile Networks |
6 | P ELEC3505 (Communications) and ELEC3506 (Data Communications and the Internet) or similar units that covers these topics 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 instructorA |

ELEC5510Satellite 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 |

ELEC5511Optical Communication Systems |
6 | A (ELEC3405 OR ELEC9405) AND (ELEC3505 OR ELEC9505). Basic knowledge of communications, electronics and photonics |

ELEC5512Optical Networks |
6 | A Knowledge of digital communications, wave propagation, and fundamental optics |

ELEC5514IoT Wireless Sensing and Networking |
6 | A ELEC3305 AND ELEC3506 AND ELEC3607 AND ELEC5508 |

ELEC5518IoT for Critical Infrastructures |
6 | A Some background in programming with Python or MATLAB. Background in communication systems. Basic maths. |

ELEC5616Computer and Network Security |
6 | A A programming language, basic maths |

ELEC5618Software 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 |

ELEC5619Object Oriented Application Frameworks |
6 | A Java programming, and some web development experience are essential. Databases strongly recommended |

ELEC5620Model Based Software Engineering |
6 | A A programming language, basic maths |