Intelligent Information Engineering
Accelerated unit of study table
Master of Professional Engineering (Accelerated) (Intelligent Information Engineering) |
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| To qualify for the award of the Master of Professional Engineering (Accelerated) in this specialisation, a candidate must complete 96 credit points, including: | |||
| (a) 12 credit points of Core units as listed below | |||
| (b) ENGG5217 Practical Experience | |||
| (c) 24 credit points of Foundation units | |||
| (d) 36 credit points of Specialist Elective units | |||
| (e) 12 credit points of Management Elective units | |||
| (f) A minimum of 12 credit points of Project or Research Pathway units as detailed below | |||
| (g) Candidates undertaking the Research Pathway, replace 12 credit points of elective units with Research Pathway 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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| 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 Students should have completed one year of their MPE program before enrolling in this unit. |
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Foundation units |
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| Candidates must complete 24 credit points from the following Foundation units of study. It is recommended that these be taken in the first year of study. | |||
| 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 |
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| 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 |
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| 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 |
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| ELEC9506 Communications Networks |
6 |
N ELEC5740 |
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Specialist Elective units |
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| Candidates must complete 36 credit points from the following table of Specialist Elective units of study. | |||
| ELEC5304 Intelligent Visual Signal Understanding |
6 |
A Mathematics (e.g. probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++) |
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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++) |
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| 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++) |
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| 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 |
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| ELEC5516 Electrical and Optical Sensor Design |
6 |
A Math Ext 1, fundamental concepts of signal and systems, fundamental electrical circuit theory and analysis |
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| ELEC5517 Software Defined Networks |
6 |
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| ELEC5622 Signals, Software and Health |
6 |
A Mathematics (linear algebra and probabilities) and basic programming skills (python/matlab/C++/java) |
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Management Elective units
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| Candidates must complete 12 credit points from the following Management Elective units of study. | |||
| ENGG5203 Quality Engineering and Management |
6 |
A First degree in Engineering or a related discipline |
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| PMGT5205 Professional Project Practice |
6 |
N ENGG5205 |
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| ENGG5214 Management of Technology |
6 |
A Sound competence in all aspects of engineering, and some understanding of issues of engineering management |
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| 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 |
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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 18 CP) in place of Capstone Project ELEC5021 and 6 credit points of elective 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) | |
| ELEC5021 Capstone Project B |
6 |
P ELEC5020 N ELEC5022 OR ELEC5222 OR ELEC5223 |
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| 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 |
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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 and ELEC5223 (total 24 CP) in place of Capstone Project units and 12 credit points of 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. |
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| ELEC5223 Dissertation B |
12 |
P ELEC5222 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. |
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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 & B and 12 credit points of 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 |
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Exchange units
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| With approval of the Program Director, up to 12 credit points of Exchange units may be taken in place of other units, towards the requirements of the degree. | |||
