Module POLM162 for 2019/0
- Overview
- Aims and Learning Outcomes
- Module Content
- Indicative Reading List
- Assessment
Postgraduate Module Descriptor
POLM162: Introduction to Social Network Analysis
This module descriptor refers to the 2019/0 academic year.
Module Content
Syllabus Plan
Whilst the module’s precise content may vary from year to year, it is envisaged that the syllabus will cover some or all of the following topics:
- Introduction
- Centrality
- Measures of Network Structure
- Social Capital
- Block Models and Structural Equivalence
- Basic Network Statistics
- Brief overview of advanced techniques
Learning and Teaching
This table provides an overview of how your hours of study for this module are allocated:
Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
---|---|---|
22 | 128 | 0 |
...and this table provides a more detailed breakdown of the hours allocated to various study activities:
Category | Hours of study time | Description |
---|---|---|
Scheduled learning and teaching activity | 22 | 11 x 2 hour sessions of lectures and demonstrations |
Guided independent study | 128 | Time spent individually undertaking data analysis for exercises, final assignment |
Online Resources
This module has online resources available via ELE (the Exeter Learning Environment).
Hanneman, Robert A. and Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside (published in digital form at http://faculty.ucr.edu/~hanneman/).
How this Module is Assessed
In the tables below, you will see reference to 'ILO's. An ILO is an Intended Learning Outcome - see Aims and Learning Outcomes for details of the ILOs for this module.
Formative Assessment
A formative assessment is designed to give you feedback on your understanding of the module content but it will not count towards your mark for the module.
Form of assessment | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
---|---|---|---|
Plan for final essay | Students can submit an abstract or outline for final assignment | 1-9 | Written |
Summative Assessment
A summative assessment counts towards your mark for the module. The table below tells you what percentage of your mark will come from which type of assessment.
Coursework | Written exams | Practical exams |
---|---|---|
90 | 0 | 10 |
...and this table provides further details on the summative assessments for this module.
Form of assessment | % of credit | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
---|---|---|---|---|
Problem sets | 30 | 3 x 500 words on analysis of a problem set | 3-8, 9, 11 | Written |
Classroom presentation | 10 | 10 minute presentation on dataset for final paper | 3, 5, 6, 10 | Written |
Final paper | 60 | 2000 words including an analysis component | 1-9 | Written |
Re-assessment
Re-assessment takes place when the summative assessment has not been completed by the original deadline, and the student has been allowed to refer or defer it to a later date (this only happens following certain criteria and is always subject to exam board approval). For obvious reasons, re-assessments cannot be the same as the original assessment and so these alternatives are set. In cases where the form of assessment is the same, the content will nevertheless be different.
Original form of assessment | Form of re-assessment | ILOs re-assessed | Timescale for re-assessment |
---|---|---|---|
Problem sets | 1500 words on analysis of a problem set | 3-8, 9, 11 | August/September re-assessment period |
Recorded presentation | 10 minute presentation on dataset for final paper | 3, 5, 6, 10 | August/September re-assessment period |
Final paper | 1 written assignment with data analysis component (2000 words) | 1-11 | August/September re-assessment period |