COMP3710 Pattern Recognition and Analysis (University of Queensland): rated 3.8/5 overall across 11 reviews collected on UQ Wall.
COMP3710 is a University of Queensland course taught by the Faculty of Engineering, Architecture and Information Technology in Computer Science. This page brings together its handbook details and what UQ students say about it.
Review data updated 2026-10-24.
Chinese title: 模式识别与分析
Type: undergraduate
Credit points: 2
Subject area: Computer Science
Faculty: Faculty of Engineering, Architecture and Information Technology
Level: Undergraduate Level 3
Handbook year: 2026
Understanding patterns in our environment is an important cognitive ability. The development of recognition and automated algorithms that are able to process copious amounts data without (or with limited) human intervention is critical in replicating this ability in machines.
COMP3710 has 11 scored reviews: overall 3.8/5 (all out of 5; higher difficulty means harder).
Sources: 11 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 3.8/5).
On Reddit: "Ive taken COMP7703 (very similar to 4702), STAT3007 and COMP3710 (in that respective order). I would recommend you take COMP3710 and 4702. 3710 will ease you into much more of the fundamental ideas behind deep learning and I wish I had started with this one. COMP4702 will give y…"
On Reddit: "I’ve only done COMP3506 and COMP3710. If you genuinely like programming, then COMP3506 is easy and manageable. I’m unsure if Shanks is still teaching COMP3710 but if he is, you’re cooked. That subject is horrid. There’s a huge report at the end of the sem that will eat up a lot …"
The course panel on UQ Wall shows every review and discussion in full.
Q: Is COMP3710 worth taking?
A: Averaged over 11 reviews: overall 3.8/5.
Q: Which faculty teaches COMP3710, and when is it offered?
A: COMP3710 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.