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Electrical Engineering stream

Intelligent Information Engineering specialisation

Intelligent Information Engineering specialisation

Students in the Electrical stream must complete 30 credit points to achieve this specialisation.

 

Unit of study Credit points A: Assumed knowledge P: Prerequisites
C: Corequisites N: Prohibition
Students complete 18 credit points from the following:
ELEC5304
Intelligent Visual Signal Understanding
6 Mathematics (e.g. probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++)
ELEC5307
Advanced Signal Processing with Deep Learning
6 Mathematics (e.g., probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++)
ELEC5622
Signals, Software and Health
6 Mathematics (linear algebra and probabilities) and basic programming skills (python/matlab/C++/java)
Students complete 12 credit points from the following:
ELEC5305
Acoustics, Speech and Signal Processing
6 (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 Basic understanding of digital signal processing (filtering, DFT) and programming skills (e.g. Matlab/Java/Python/C++)
ELEC5308
Intelligent Information Engineering Practice
6 Students must have a good understanding of Linear algebra and basic mathematics, Basic Programming skills in C, Python or Matlab
ELEC5516
Electrical and Optical Sensor Design
6 Math Ext 1, fundamental concepts of signal and systems, fundamental electrical circuit theory and analysis
ELEC5517
Software Defined Networks
6 ELEC3506 OR ELEC9506
ELEC5701
Technology Venture Creation
6 N ENGG5102
Units taken for the specialisation will also count toward requirements of the Electrical stream.