1. Handbook
  2. Subjects
  3. Approximation, Algorithms and Heuristics
  4. Eligibility and requirements

Approximation, Algorithms and Heuristics (MAST90098) // Eligibility and requirements

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Eligibility and requirements

Prerequisites

Code Name Teaching period Credit Points
MAST30013 Techniques in Operations Research
Semester 1 (On Campus - Parkville)
 12.5

Corequisites

None

Non-allowed subjects

None

Recommended background knowledge

Code Name Teaching period Credit Points
MAST30011 Graph Theory
Semester 1 (On Campus - Parkville)
 12.5

Or:

Code Name Teaching period Credit Points
MAST20018 Discrete Maths and Operations Research
Semester 2 (On Campus - Parkville)
 12.5

Experience with basic computer programming.

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: 31 January 2024