MMA3001 Numerical methods and machine learning (Monash University): rated 2.1/5 overall across 6 reviews collected on Monash Wall.
MMA3001 is a Monash University course taught by the Faculty of Engineering in Mechanical and Aerospace Engineering. This page brings together its handbook details and what Monash students say about it.
Review data updated 2026-10-24.
Chinese title: 数值方法与机器学习
Credit points: 6
Subject area: Mechanical and Aerospace Engineering
Faculty: Faculty of Engineering
Level: Undergraduate Level 3
Handbook year: 2026
MMA3001 has 6 scored reviews: overall 2.1/5 (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 2.1/5).
On Reddit: "I got creeped out watching the pre-reading stuff. I might be wrong but it looks he uses an AI eye contact tool, that or he's just really focused on reading. A lot of AI slop, but it seems to be an interesting unit. Plus 100% in-semester content (no exam!)"
On Reddit: "Notes for the class are ridden with typos and read as if the entire thing was generated with ChatGPT and seems to include a lot of useless stuff. Might be the worst taught class I've come across yet, it's like they condensed every complaint about poorly taught content into a sin…"
The course panel on Monash Wall shows every review and discussion in full.
Q: Is MMA3001 worth taking?
A: Averaged over 6 reviews: overall 2.1/5.
Q: Which faculty teaches MMA3001, and when is it offered?
A: MMA3001 is taught by the Faculty of Engineering. Check the official handbook for the current year.
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