ELEC4630 Computer Vision and Deep Learning (University of Queensland): rated 2.7/5 overall across 6 reviews collected on UQ Wall.
ELEC4630 is a University of Queensland course taught by the Faculty of Engineering, Architecture and Information Technology in Electrical Engineering. This page brings together its handbook details and what UQ students say about it.
Review data updated 2026-10-24.
Chinese title: 计算机视觉与深度学习
Type: undergraduate
Credit points: 2
Subject area: Electrical Engineering
Faculty: Faculty of Engineering, Architecture and Information Technology
Level: Undergraduate Level 4
Handbook year: 2026
Image sensors, colour models, discrete cosine transform, image & video compression. Computer vision, morphological techniques, watershed transform, skeletonisation, image segmentation, active contours.
ELEC4630 has 6 scored reviews: overall 2.7/5 (all out of 5; higher difficulty means harder).
Sources: 6 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 2.6/5).
On Reddit: "Unfortunately, it is what it is. I did ELEC4630 last sem and it was the same for all 3 assignments. There was tasks to be done without a specified marking rubric on what's being graded. Then you get a feedback with a marking rubric that you dont have access to."
On Reddit: "For your advanced electives, depending on what you like, I’d recommend the following. If you liked METR4201, do METR6203 If you liked CSSE3010, do COMS4105 If you liked ELEC3100, do COMS4104/COMS4113 If you liked CSSE2010, do CSSE4010 I haven’t done the power systems courses unf…"
The course panel on UQ Wall shows every review and discussion in full.
Q: Is ELEC4630 worth taking?
A: Averaged over 6 reviews: overall 2.7/5.
Q: Which faculty teaches ELEC4630, and when is it offered?
A: ELEC4630 is taught by the Faculty of Engineering, Architecture and Information Technology. Check the official handbook for the current year.
UQ Wall is an independent student community and is not affiliated with University of Queensland.