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School of Engineering and Informatics (for staff and students)

Network Science (981G5)

Network Science

Module 981G5

Module details for 2024/25.

15 credits

FHEQ Level 7 (Masters)

Module Outline

Network science, the study of complex systems represented as interconnected nodes and edges, provides a powerful framework for describing and analysing the structure, dynamics, and behaviour of networks in various domains. The module will equip students with practical tools and techniques for analysing and visualising networks, generally enhancing their data analysis skills. In addition, through studying applications of network science in fields as varied as social media analysis, epidemiology, neuroscience and cybersecurity, the module will foster a broader perspective, benefitting research and problem-solving abilities.

This module can also be suitable for: Data Science MSc / Human and Social Data Science MSc / Advanced Computer Science MSc, and also appeal to those Neuroscience MRes students who take the MCMCS module. These can be made available through variation of studies in the first instance.

Module learning outcomes

Abstract real-world scenarios in terms of dynamics on networks

Systematically characterise network properties

Visualise networks and communicate network properties effectively

TypeTimingWeighting
Coursework100.00%
Coursework components. Weighted as shown below.
ReportA2 Week 2 100.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Spring SemesterLecture2 hours11111111111
Spring SemesterLaboratory1 hour11111111111

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Prof Luc Berthouze

Assess convenor
/profiles/201607

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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, ÄûÃÊÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
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