Discrete and Network Optimisation (ELEN90087) // Eligibility and requirements

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Eligibility and requirements

Prerequisites

Admission into a research higher degree (MPhil or PhD) in Engineering.

Corequisites

None

Non-allowed subjects

None

Recommended background knowledge

Familiarity with some basic optimisation models and problems is recommended, particularly linear programming, integer programming and minimum spanning tree algorithms.

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