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  3. Real and Artificial Neural Networks
  4. Eligibility and requirements

Real and Artificial Neural Networks (NEUR30006) // Eligibility and requirements

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Eligibility and requirements

Prerequisites

EITHER: NEUR30003 Principles of Neuroscience OR NEUR30002 Neurophysiology: Neurons and Circuits. 

 

Code Name Teaching period Credit Points
NEUR30002 Neurophysiology: Neurons and Circuits
Semester 1 (On Campus - Parkville)
 12.5

 

Code Name Teaching period Credit Points
NEUR30003 Principles of Neuroscience
Semester 1 (On Campus - Parkville)
 12.5

Corequisites

None

Non-allowed subjects

None

Recommended background knowledge

High School-level differential calculus and matrix operations.

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: 18 January 2026