Course content

This course is aimed at PhD-candidates researching linguistic interactions in professions. The course will give foundational skills in transcribing and analysing conversational interactions, and will put a conversational analytical approach in a wider theoretical/methodological context and within the context of research ethics.

Learning outcome

Knowledge

On completing the course, the candidate should have obtained advanced knowledge of:

- conversational analytical research on professional practice

- conversational analytical approach in the analysis of linguistic interaction in professions

- the methodological foundation of conversation analysis (CA)

- gathering and handling authentic conversation material in an ethically sound manner

Skills

On completing the course, the candidate should be able to:

- transcribe and analyze linguistic interaction in conversations

- formulate and argue for conversational analytical observations

- compare the methodology of conversation analysis with discourse analysis

- formulate research questions related to the analysis of conversations in professions

- develop empirically based new knowledge on professional practice

General competence

The candidate can:

- actively participate in discussions on conversational analytical approaches to linguistics and in research on the communication of professions.

- make ethical assessments related to research in professional contexts

Learning methods and activities

The course combines lectures and seminars, oral presentations and computer lab to build technical and analytical skills in conversation analysis, as well as to reflect on relevant theoretical, methodological and ethical research questions related to conversation analysis.

Compulsory assignments

• Participation
• Oral presentation

Further on evaluation

Compulsory activites

Participation on three seminar days and oral presentations.

After the course the participants must hand in a first draft of an article using a conversation analysis approach on empirical data. The article should be 5000-7000 words (+/- 10%).

Required previous knowledge

Requires admission to a PhD programme.

Course materials

Will be announced before the start of the course.