30 Credits SPRING

Aims/Description: This module will focus on the handling and management of linguistic datasets. Students will be encouraged to focus on one particular sub-discipline of linguistics (including, but not limited to, conversation analysis, dialectology, historical linguistics, language acquisition, phonetics, phonology, philology, sociolinguistics, or syntax) and to analyse a pre-existing dataset. This may involve exploring archive materials and data, and/or established corpora. The aim of the module is to equipped students with up-to-date practical skills in data management and processing, working on real data, with active researchers. In the process of developing these skills, students will have the opportunity to explore research questions relevant to their linguistics interests.

Teaching Methods: Tutorials, Independent Study
Assessment: Course work

Information on the department responsible for this unit (English):

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Teaching timetable


The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.

Western Bank, Sheffield, S10 2TN, UK