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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.
Code | COMP4313 |
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Academic unit | Computer Science |
Credit points | 6 |
Prerequisites:
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None |
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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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None |
Assumed knowledge:
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Algorithmic skills gained through units such as COMP2123 or COMP2823 or COMP3027 or COMP3927 or equivalent. Basic probability knowledge |
The learning outcomes for this unit will be available two weeks before the first day of teaching.
Unit outlines will be available 1 week before the first day of teaching for the relevant session.
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