MCEN90048 Artificial Intelligence for Engineers

MCEN90048 Artificial Intelligence for Engineers (University of Melbourne): rated 3.8/5 overall across 1 review collected on UniMelb Wall.

MCEN90048 is a University of Melbourne course taught by the Faculty of Engineering and Information Technology in Mechanical Engineering. This page brings together its handbook details and what UniMelb students say about it.

Review data updated 2026-10-24.

Course details

Chinese title: 面向工程师的人工智能

Type: Graduate coursework subject

Subject area: Mechanical Engineering

Faculty: Faculty of Engineering and Information Technology

Level: Graduate coursework Level 9

Handbook year: 2026

Overview

Upon completion, students are expected to gain an overview of a major area of artificial intelligence known as deep learning, including Convolutional and Recurrent Neural Networks, Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs). Students will also learn computational i.

MCEN90048 student reviews, difficulty and workload

MCEN90048 has 1 scored review: overall 3.8/5 (all out of 5; higher difficulty means harder).

Sources: 1 Reddit comment that an AI model judged to be reviewing this course (average would-recommend 3.8/5).

On Reddit: "I decided to take both because MCEN90048 can be one of my Group A electives and ELEN90095 can be my elective B. I took MCEN90048 last semester. It's an extension of the course 'Introduction to Machine Learning.'. The course is also heavily theoretical, though tutorials teach you…"

The course panel on UniMelb Wall shows every review and discussion in full.

MCEN90048 FAQ

Q: Is MCEN90048 worth taking?

A: Averaged over 1 review: overall 3.8/5. Only a few reviews so far, so treat this as a rough guide.

Q: Which faculty teaches MCEN90048, and when is it offered?

A: MCEN90048 is taught by the Faculty of Engineering and Information Technology. Check the official handbook for the current year.

Related courses

More on UniMelb Wall

Official page

UniMelb Wall is an independent student community and is not affiliated with University of Melbourne.