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ZO5403: NETWORK SCIENCE (2014-2015)

Last modified: 28 Jun 2018 10:27


Course Overview

The course is an introduction to network science for biologists by biologists. It provides a conceptual introduction to the physics of networked systems, and then provides training in network analytical and modelling techniques. You will be trained in ways to describe networks and their architecture, to estimate network centrality measures and clustering and to infer network topology. The course has a special topics component that is tailored to the interests of the student cohort. That includes topics such as multiplex, propagation models on networks, coupled oscillation on networks, social network dynamics, molecular network inference, and causality network inference.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 7.5 credits (3.75 ECTS credits)
Campus None. Sustained Study No
Co-ordinators
  • Professor David Lusseau

What courses & programmes must have been taken before this course?

None.

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

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

Further Information & Notes

Strong numerical skills are needed to successfully complete this module.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

The module will be assessed based on 3 graded practicals (30% each) and class participation (10%)

Formative Assessment

There are no assessments for this course.

Feedback

None.

Course Learning Outcomes

None.

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