Structure and Dynamics of Networks

Module overview

Networks are ubiquitous in the modern world: from the biological networks that regulate cell behaviour, to technological networks such as the Internet and social networks such as Facebook. Typically real-world networks are large, complex, and exhibit both random and regular properties, making them both challenging and interesting to model. This course is an introduction to the structure and dynamics of networks, as a modelling tool in applied mathematics.

Linked modules

Pre requisites: MATH1048 and MATH1049 and MATH1059

Learning and Teaching

Teaching and learning methods

Lectures, tutorials, guided reading and private study. The lectures will be based on selected material from the reading list. Lectures will give an overview of the topic and introduce the main references and students are expected to demonstrate in-depth independent learning through private study. The module is organised in three blocks of four weeks each.

Study time
Type	Hours
Independent Study	102
Teaching	48
Total study time	150

Resources & Reading list

Textbooks

M.E.J.Newman (2010). Networks: An Introduction. Oxford University Press.

A.-L.Barabasi (2016). Network Science. Cambridge University Press.

Assessment

Summative

This is how we’ll formally assess what you have learned in this module.

Breakdown
Method	Percentage contribution
Individual project	20%
Final Exam	60%
Coursework	20%

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Breakdown
Method	Percentage contribution
Final Exam	80%
Essay/report	20%

Repeat Information

Repeat type: Internal & External