System Optimisation & Machine Learning (ELEN90088) // Eligibility and requirements

You’re viewing the 2025 Handbook:
Or view archived Handbooks

Eligibility and requirements

Prerequisites

None

Corequisites

None

Non-allowed subjects

None

Recommended background knowledge

Medium-level programming skills and knowledge of python programming language are necessary.

Students should have good multi-variable calculus, analytical geometry and linear algebra skills.

Knowledge of the following subject is recommended: 

Code Name Teaching period Credit Points
ELEN90054 Probability and Random Models
Semester 1 (On Campus - Parkville)
 12.5

Inherent requirements (core participation requirements)

The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.

Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home

Last updated: 4 March 2025