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

Statistical Machine Learning (COMP90051) // Eligibility and requirements

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Eligibility and requirements

Prerequisites

One of the following:

Code Name Teaching period Credit Points
COMP30018 2019
COMP90049 Knowledge Technologies
Semester 1
Semester 2
12.5
COMP30027 Machine Learning
Semester 1
12.5

OR Admission in to one of the following courses:

  • MC-IT Master of Information Technology, 100 or 150 point program in Distributed Computing or Computing
  • MC-IT Master of Information Technology, 100 point program in Cyber Security

Corequisites

None

Non-allowed subjects

433-484 Machine Learning
433-679 Evolutionary and Neural Computation
433-680 Machine Learning
433-684 Machine Learning

Recommended background knowledge

Basic probability

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: 21 August 2019