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Unit of study_
COMP4313: Large Scale Networks
2025 unit information
The growing connected-ness of modern society translates into simplifying global communication and accelerating spread of news, information and epidemics. The focus of this unit is on the key concepts to address the challenges induced by the recent scale shift of complex networks. In particular, the course will present how scalable solutions exploiting graph theory, sociology and probability tackle the problems of communicating (routing, diffusing, aggregating) in dynamic and social networks.
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 ISYS3888 or SOFT3888 or ENGG3112 or SCPU3001 |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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|
COMP5313 |
| Assumed knowledge:
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A major in a computer science area. Algorithmic skills gained through units such as COMP2123 or COMP2823 or COMP3027 or COMP3927 or equivalent. Basic probability knowledge |
At the completion of this unit, you should be able to:
- LO1. interpret the fundamental structures, dynamics and resource distribution in such models
- LO2. explain key factors that impact the accuracy and speed of information dissemination and aggregation
- LO3. evaluate the asymptotic complexity and accuracy of graph algorithms
- LO4. describe various types of network models in different contexts like computer science, society or markets
- LO5. identify and assess accurately the role of networks in number of physical settings
- LO6. identify and describe the technical issues that affect the dissemination of information in a network
- LO7. analyse probabilistically the relations between communicating entities of a network
- LO8. analyse the stochastic methods necessary to evaluate the convergence of various algorithms
- LO9. recognise probabilistic solutions to problems that have no deterministic solutions and apply them thoroughly
- LO10. compare experimentally and theoretically the adequacy of different probabilistic solutions.
Unit availability
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Modes of attendance (MoA)
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