Skip to main content

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 A Mathematics (e.g. probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++)
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++)
ELEC5622
Signals, Software and Health
6 A 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 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++)
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
ELEC5516
Electrical and Optical Sensor Design
6 A Math Ext 1, fundamental concepts of signal and systems, fundamental electrical circuit theory and analysis
ELEC5517
Software Defined Networks
6 A ELEC3506 OR ELEC9506
ELEC5701
Technology Venture Creation
6 N ENGG5102
Units taken for the specialisation will also count toward requirements of the Electrical stream.