CITS5508 Machine Learning (University of Western Australia): rated 2.5/5 overall across 6 reviews collected on UWA Wall.
CITS5508 is a University of Western Australia course taught by the Physics, Mathematics and Computing in Information Technology. This page brings together its handbook details and what UWA students say about it.
Review data updated 2026-10-24.
Chinese title: 机器学习
Type: Postgraduate/Undergraduate unit
Credit points: 6
Subject area: Information Technology
Faculty: Physics, Mathematics and Computing
Level: Postgraduate Level 5
Handbook year: 2026
In this unit, students will develop an understanding of machine learning techniques that are applicable to both scientific and business data. Extracting meaningful knowledge from large amounts of data has become a priority for businesses and scientific domains.
CITS5508 has 6 scored reviews: overall 2.5/5 (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 2.5/5).
On Reddit: "I found the exam for 5508 to be alright since they reused some questions from the mock exam almost word for word. Issue is it's just too bloody long. My calculator only have natural logs so I had to convert natural logs to base 2 logs constantly for the entropy question 💀"
On Reddit: "Yes same situation, we submitted machine learning assignment 3 on May 24th but the mark was available until the day before yesterday. And the average mark is really low"
The course panel on UWA Wall shows every review and discussion in full.
Q: Is CITS5508 worth taking?
A: Averaged over 6 reviews: overall 2.5/5.
Q: Which faculty teaches CITS5508, and when is it offered?
A: CITS5508 is taught by the Physics, Mathematics and Computing. Check the official handbook for the current year.
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