SOC40780 Computational Sociology & Complex Data Applications

Academic Year 2016/2017

The module is intended to give an introduction and overview of the emergent field of computational social science. It is not a methodology course but more of an exploration into how we can use the emergent discipline of CSS to explore social science problems and some examples of this from industry case studies and the public sector. In this sense we are looking at the broader research design issues which arise in this area of social science research work. The module consists of a series of presentations and interactive sessions, with lots of opportunities for you to engage and contribute to the discussion.

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Curricular information is subject to change

Learning Outcomes:

1. a solid introduction and overview of the field of Computational social science
2. an understanding of the unique features of this new field in the social sciences
3. an understanding of how and where computational social science approaches can best be applied

Student Effort Hours: 
Student Effort Type Hours
Lectures

22
Specified Learning Activities

228
Total

250
 
Requirements, Exclusions and Recommendations

Not applicable to this module.



 
Description % of Final Grade Timing
Assignment: Research Project Design

100

 Coursework (End of Trimester)

Compensation

This module is not passable by compensation

Resit Opportunities

In-semester assessment

Remediation

If you fail this module you may repeat, resit or substitute where permissible