Network Science (981G5)
Network Science
Module 981G5
Module details for 2023/24.
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
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | A2 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.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Lecture | 2 hours | 11111111111 |
| Spring Semester | Laboratory | 1 hour | 11111111111 |
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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