Special Topics in Sociolinguistics (P00138)

? Credit Points : 20 ? SCQF Level : 11 ? Acronym : PPL-P-STSLING

Topics and methods for the advanced study of sociolinguistics. Theory and practice associated with data collection, evaluation of data, ethics issues arising for sociolinguists. This option complements and develops ideas and materials that were introduced in the core courses in sociolinguistics and text analysis.

The course will include readings and discussion of some of the principles, issues and problems that underlie special topics such as:
- widely-used methods for gathering data
- language and identity
- language and gender
- social network analysis

This course continues to develop foundation issues in sociolinguistics and brings participants up to date with cutting edge research in the field. Each year the focus will be on a different special topic that is highly relevant to the on-going research of the course organisers and likely participants.

Venue: 3.11 Dugald Stewart Building

Entry Requirements

? Pre-requisites : Satisfactory completion of, or concurrent enrolment in, the MSc-AL core courses.

? Costs : None

Subject Areas

Home subject area

Language Sciences, (School of Philosophy, Psychology and Language Sciences, Schedule I)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 3 hour(s) per week for 9 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
13/01/2009	14:00	16:00			3.11 Dugald Stewart Building

All of the following classes

Type	Day	Start	End	Area
Lecture	Tuesday	14:00	15:50	Central
Lecture	Friday	15:00	15:50	Central

Summary of Intended Learning Outcomes

Knowledge and understanding of:
- what counts as natural data;
- what benefits and costs are associated with experiential modes of data collection, such as ethnography;
- what benefits and costs are associated with experimental modes of data collection, such as role plays and questionnaires/completion tasks;
- how we can measure success of a given method of data collection