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Unit of study_

ELEC5307: Advanced Signal Processing with Deep Learning

2025 unit information

This unit of study introduces deep learning for a broad range of multi-dimensional signal processing applications. It covers deep learning technologies for image super-resolution and restoration, image categorization, object localization, image segmentation, face recognition, person detection and re-identification, human pose estimation, action recognition, object tracking as well as image and video captioning.

Unit details and rules

Managing faculty or University school:

Engineering

Study level Postgraduate
Academic unit School of Electrical and Computer Engineering
Credit points 6
Prerequisites:
? 
None
Corequisites:
? 
None
Prohibitions:
? 
None
Assumed knowledge:
? 
Mathematics (e.g., probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++)

At the completion of this unit, you should be able to:

  • LO1. use appropriate software platforms for a given multi-dimensional signal processing task
  • LO2. understand and apply the machine learning and deep learning methods for multi-dimensional signal processing applications
  • LO3. use the existing machine learning and deep learning toolboxes
  • LO4. report results in a professional manner
  • LO5. develop some basic teamwork and project management skills through a group project.

Unit availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

Session MoA ?  Location Outline ? 
Semester 2 2024
Normal day Camperdown/Darlington, Sydney
Session MoA ?  Location Outline ? 
Semester 2 2025
Normal day Camperdown/Darlington, Sydney
Outline unavailable
Session MoA ?  Location Outline ? 
Semester 2 2020
Normal day Camperdown/Darlington, Sydney
Semester 2 2021
Normal day Camperdown/Darlington, Sydney
Semester 2 2021
Normal day Remote
Semester 2 2022
Normal day Camperdown/Darlington, Sydney
Semester 2 2022
Normal day Remote
Semester 2 2023
Normal day Camperdown/Darlington, Sydney

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Modes of attendance (MoA)

This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.