Postgraduate Module Descriptor


POLM150: Text as Data

This module descriptor refers to the 2017/8 academic year.

Module Aims

There are three primary aims of the module. First, the module will provide an applied introduction to the use of text analysis in social scientific research. You are introduced to the entire research “pipeline” for a typical text-based project, including: a) collecting textual information online (e.g., web scraping), b) key approaches to text preprocessing and “feature extraction,” and c) supervised and unsupervised approaches to text classification.  These methods are essential for data scientists interested social science questions. Second, the module introduces you to the Python programming language. Python is a popular language for scientific computing and knowledge of Python will place you at a competitive advantage in industry, government, or when pursing further education. Third, the module assessments aim to further reinforce the importance research design and thus provide students with yet another opportunity to hone critical research skills.

Intended Learning Outcomes (ILOs)

This module's assessment will evaluate your achievement of the ILOs listed here - you will see reference to these ILO numbers in the details of the assessment for this module.

On successfully completing the programme you will be able to:
Module-Specific Skills1. apply appropriate tools for collecting and preprocessing textual information;
2. understand and apply a variety of text analysis methods to answer questions in social science and public policy;
3. critically evaluate the strengths and weaknesses of particular text analytic tools for answering research questions in the social and policy sciences;
Discipline-Specific Skills4. employ text analytic methods to empirically evaluate theories and hypotheses in the social and policy sciences;
5. evaluate the role of text analysis for supporting policy analysis and evaluation;
6. construct arguments based on textual data for both written and oral presentation;
7. demonstrate a strong command of research design through written and oral assessments;
Personal and Key Skills8. gain a solid foundation in the Python programming language;
9. communicate effectively in speech and writing;
10. work independently and within a limited time frame to complete a specified task.

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 assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Practicals4 short assignments to reinforce programming skills.1-5,8-10Written

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.

CourseworkWritten examsPractical exams
85015

...and this table provides further details on the summative assessments for this module.

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
Research proposal10800 words2-7, 9-10Written
Research essay754,000 words1-10Written
Presentation (individual)1510 minutes1-10Written
0
0
0
0

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 assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
Research proposal1-2 pages proposal2-7,9-10August/September reassessment period
Research Essay4,000 words essay1-10August/September reassessment period
Presentation (individual)10 minutes presentation1-10Spring team