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Synopsis

TopNetworks are powerful representations of real-world systems due to their ability to encapsulate micro-relationships, yet eliciting powerful insights when observed at the macro-level. These capabilities allow network analysis and modelling to be employed at the best technology companies like Google and Facebook. This course is a gentle introduction to network concepts, how it is changing the way we look at the world, and how it can be leveraged to make decisions.

Learning Outcomes

TopAt the end of the module, students should be able to:

Explain various classic network structures and their properties
Formulate real-world problems as network problems
Create network visualisations to aid analysis and explanation
Critically analyse phenomena based on network structure using computational tools
Evaluate basic network based strategies to deal with problems that arise due to constraints or network structure

Workload

Top0-3-0-4-3

Workload Components : A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of lab hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week