Last modified: 25 Mar 2016 11:38
This course aims to introduce students to network theory, developing their network analytical skills, and demonstrating the advantage of these techniques to study complex adaptive systems. It will introduce students to statistical computer intensive techniques (bootstrapping, jack-knifing) and techniques to describe the structure of real-world networks and the dynamics of processes taking place on these networks.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | First Term | Credit Points | 7.5 credits (3.75 ECTS credits) |
| Campus | None. | Sustained Study | No |
| Co-ordinators |
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The module will be divided in three components each lasting one week.
Week 1: computer intensive statistical techniques Students are introduced to computer intensive statistical techniques required to understand some of the network analyses. - Topic 1: bootstrap; jackknife - Topic 2: permutations - Topic 3: randomisation tests
Week 2: Network structure - Topic 1: centrality measures - Topic 2: motifs - Topic 3: community structure
Week 3: Network processes We will focus on understanding the dynamics of network evolution and processes taking place on networks - Topic 1: critically and self-organised critically for biologists - Topic 2: network evolution models - Topic 3: propagation on networks
Information on contact teaching time is available from the course guide.
The module will be assessed based on 3 graded practicals (30% each) and class participation (10%)
There are no assessments for this course.
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