Postgraduate Course: Discourse Analysis (LASC11159)
|School||School of Philosophy, Psychology and Language Sciences
||College||College of Arts, Humanities and Social Sciences
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Available to all students
|Summary||Discourse analysis is the study of language in use. In this course, the students will learn empirical methods for studying naturally-occurring language data in various social, institutional and technological contexts.
Discourse analysis looks at how people use language in real-life contexts. In this course, we will explore how discourse or language in use can be studied empirically. We are going to focus, in particular, on two types of naturally-occurring discourse-spoken (e.g. small talk, professional interaction, media interviews, etc.) and computer-mediated (e.g. text and multimedia messaging, social media postings, etc). The course will cover three main components:
1. What is discourse and discourse analysis: introducing key concepts in discourse analysis such as written vs. spoken discourse, small d and big D discourse, cohesion, turn-taking, etc.;
2. What are the main approaches to discourse analysis: e.g. Conversation Analysis, Interactional Sociolinguistics, Computer-mediated Discourse Analysis, Critical and Multimodal Discourse Analysis, Corpus-assisted Discourse Analysis;
3. How to design and carry out a discourse analysis project: the ethical and practical considerations of collecting spoken, text messaging and social media data in different contexts, transcribing spoken and multimodal data, analyzing naturally-occurring discourse data adopting one of the main DA approaches.
The course is highly hands-on. The students will learn to apply linguistic skills they have learned in this and other courses to examine real-life questions.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Information for Visiting Students
|High Demand Course?
Course Delivery Information
|Academic year 2022/23, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 27,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Students will produce a research proposal mid-course which will not be graded but on which they will receive formative feedback.
|No Exam Information
On completion of this course, the student will be able to:
- explain key concepts and theories of discourse and key approaches to discourse analysis
- collect and transcribe spoken and computer-mediated discourse data
- analyse spoken and computer-mediated discourse using one of the key DA approaches and linguistic analytical skills acquired in other courses (such as phonology, syntax and/or pragmatics)
- observe and describe the structures and patterns of discourse
- interpret discursive patterns using appropriate discourse concepts and theories
|Cameron, D. (2001). Working with spoken discourse. London: Sage.|
Cameron, D., & Panovic, I. (2014). Working with written discourse. London: Sage Jewitt, C., Bezemer, J., & O'Halloran, K. (2016). Introducing multimodality. London: Routledge.
Page, R., Barton, D., Unger, J. W., & Zappavigna, M. (2014). Researching language and social media: A student guide. Routledge.
|Graduate Attributes and Skills
||1. Analytical & Critical thinking
2. Independent Research: Conduct research and enquiry into language in use through research design, the collection and analysis of qualitative data, synthesising and reporting research finding.
3. Written Communication: be able to communicate complex ideas and arguments in writing using language and visual resources (such as images, tables and figures).
4. Ethics and social responsibility: applying ethical principles in research practices.
5. Team working: effectively perform within team environments including the ability to recognise and capitalise on individuals' different thinking, experience and skills
|Keywords||discourse analysis,discourse data,linguistic skills,analytical skills
|Course organiser||Dr Sumin Zhao
Tel: (0131 6)51 5513
|Course secretary||Ms Sasha Wood