Computer Science


Uncertainty in Data:
COMPSCI 753
Semester 2, City Campus


Recommended Preparation: COMPSCI 351 or equivalent
Assessment: 10% assignments, 50% research assignments, 40% examination
Coordinator: Assoc Prof Sebastian Link
Meeting Timesto be advised
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Description

Modern applications generate large volumes of uncertain data. This course investigates approaches to modelling, managing and processing uncertain data. It covers how to design databases in the presence of uncertainty, and discusses the state-of-the-art in querying techniques for databases where data values or records are uncertain. Principled methods are investigated that improve the quality of data in databases.

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