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ZO5403: NETWORK SCIENCE (2015-2016)

Last modified: 25 Mar 2016 11:38


Course Overview

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.

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

Qualification Prerequisites

None.

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

  • One of MRes Applied Marine and Fisheries Ecology (Studied) or MSc Ecology & Environmental Sustainability (Studied) or MSc Applied Marine and Fisheries Ecology (Studied) or MSci Biological Sciences (Studied)
  • Either Any Postgraduate Programme (Studied) or MSci Biological Sciences (Studied)
  • Either Any Postgraduate Programme (Studied) or BI4015 Grant Proposal (Passed)
  • Either Any Postgraduate Programme (Studied) or BI5009 Experimental Design and Analysis (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

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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