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Unit of study_
COMP4270: Randomised and Advanced Algorithms
2024 unit information
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.
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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(COMP2123 or COMP2823) and (COMP3027 or COMP3927) |
|---|---|
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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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COMP5270 |
| Assumed knowledge:
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Discrete Maths and Probability (MATH1064 or MATH1964) or equivalent |
At the completion of this unit, you should be able to:
- LO1. Produce a clear account of an algorithm, that would allow others to understand and implement it
- LO2. Learn about new algorithms by searching for descriptions in textbooks or online
- LO3. Read, understand, analyze and modify a given algorithm. Ability to design efficient algorithmic solutions for given problems and evaluate the proposal
- LO4. Analyze the complexity of a given algorithm, in terms of the different computational resources involved (time, memory, etc.)
- LO5. Understand the fundamental concepts of randomisation and randomness in computing
- LO6. Knowledge and mastery of key techniques to design and analyse randomised algorithms.
- LO7. Apply knowledge of fundamental randomized algorithms and algorithmic techniques to several problems, especially streaming, optimization, scheduling, and graph problems.
Unit availability
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Modes of attendance (MoA)
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