1. Handbook
  2. Subjects
  3. Machine Learning
  4. Eligibility and requirements

Machine Learning (COMP30027) // Eligibility and requirements

You’re viewing the 2019 Handbook:
Or view archived Handbooks

Eligibility and requirements


Both of:

Code Name Teaching period Credit Points
COMP20008 Elements of Data Processing
Semester 1
Semester 2
COMP10002 Foundations of Algorithms
Semester 1
Semester 2



Non-allowed subjects


Recommended background knowledge

Basic probability theory, equivalent to material covered in Victorian Certificate of Education (VCE) Mathematical Methods 3/4.

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: 25 July 2019