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Unit of study_

COMP4530: Discrete Optimisation

2025 unit information

This unit introduces students to the algorithmic theory and applications of discrete optimisation. The main aims of this unit are: Learn how to model various practical problems as abstract optimisation problems; Learn the theory underlying efficient algorithms for solving these problems; Learn how to use these tools in practice. Specific topics include: Linear and integer programming, polyhedral theory, and approximation algorithms.

Unit details and rules

Managing faculty or University school:

Engineering

Study level Undergraduate
Academic unit Computer Science
Credit points 6
Prerequisites:
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(DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and (COMP2123 or COMP2823) and (COMP3027 or COMP3927)
Corequisites:
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Enrolment in a thesis unit INFO4001 or INFO4911 or INFO4991 or INFO4992 or AMME4111 or BMET4111 or CHNG4811 or CIVL4022 or ELEC4712 or COMP4103 or SOFT4103 or DATA4103 or ISYS4103
Prohibitions:
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COMP3530 or COMP5530
Assumed knowledge:
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A major in a computer science area. Discrete mathematics and probability (e.g. MATH1064 or equivalent) and Linear algebra (e.g. MATH1061 or equivalent)

At the completion of this unit, you should be able to:

  • LO1. understand fundamental algorithms for several optimisation problems, such as linear and integer programming, approximation algorithms, and fixed-parameter tractability
  • LO2. implement algorithms and use standard tools for solving real life problems
  • LO3. model application problems as optimisation problems
  • LO4. apply and tailor known algorithms for solving new, and challenging problems

Unit availability

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Session MoA ?  Location Outline ? 
Semester 2 2024
Normal day Camperdown/Darlington, Sydney
Session MoA ?  Location Outline ? 
Semester 2 2025
Normal day Camperdown/Darlington, Sydney
Outline unavailable
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Modes of attendance (MoA)

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