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This unit of study will provide a rigorous introduction to a range of techniques and paradigms central to modern algorithm design, with a focus on randomised algorithms. The unit will emphasise the theoretical underpinnings of these algorithms and their mathematical guarantees, and provide intuition and understanding through a range of practical applications and examples such as probabilistic data structures, hashing, approximation algorithms, and streaming algorithms.
Study level | Undergraduate |
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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) |
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Corequisites:
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None |
Prohibitions:
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COMP5270 |
Assumed knowledge:
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A major in a computer science area. Discrete mathematics and probability (e.g. MATH1064 or equivalent) |
At the completion of this unit, you should be able to:
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
Session | MoA ? | Location | Outline ? |
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Semester 2 2024
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Normal day | Camperdown/Darlington, Sydney |
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Session | MoA ? | Location | Outline ? |
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Semester 1 2025
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.