Intelligent Information Engineering Combined
Intelligent Information Engineering
The Intelligent Information Engineering specialisation focuses on teaching you the latest technologies in information engineering such as machine learning and artificial intelligence (AI), video and speech recognition, multimedia and sensory signal processing.
The specialisation builds on foundations in mathematics, electrical engineering and computer and software engineering principles.
It will provide you with the deep knowledge and technical skills required to meet the surge of intelligence already being used in information engineering for a wide range of domains, such as smart cities, advanced manufacturing, automatic driving, 5G and Internet of Things, virtual reality and augmented reality.
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
Intelligent Information Engineering specialisation (Combined Degree) |
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| Students complete 36 credit points to achieve this specialisation. | |||
| Students complete 30 credit points from the following: | |||
| ELEC3305 Digital Signal Processing |
6 | A 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. |
Semester 1 |
| ELEC3506 Data Communications and the Internet |
6 | Semester 2 |
|
| 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 |
| 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 |
| ELEC5622 Signals, Software and Health |
6 | A Mathematics (linear algebra and probabilities) and basic programming skills (python/matlab/C++/java) |
Semester 2 |
| Students complete 6 credit points from the following: | |||
| 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 |
| 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 |
| 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 |
| ELEC5701 Technology Venture Creation This unit of study is not available in 2021 |
6 | N ENGG5102 |
Semester 2 |
| Units taken for the specialisation will also count toward requirements of the Electrical stream. | |||