1. Introduction to the course. Discourse as a theory: what is ‘discourse’; ‘tribes and sub-tribes’ of discourse analysis.
  2. Starting Discourse Analysis: data collection; coding and transcribing.
  3. Discourse as a resource: structural; inferential; contextual and relational discursive resources.
  4. Discourses around us: analyzing ‘ordinary conversations’ and other common discourses.
  5. Discourse across disciplinary boundaries: analyzing healthcare and business discourses; politics and law




  1. To introduce different approaches to the analysis of discourse in a systematic manner and to equip the students with main theoretical concepts in order to engage in doing discourse analysis;
  2. To introduce different discourse types in a systematic manner;
  3. To enable the students to analytically reflect on prominent discourse features in various discourse types;
  4. To enable the students to engage in basic discourse analysis of authentic discourse data based on the theoretical and practical knowledge gained in the class




The course is comprised of weekly lectures and tutorials. Arrangement of tutorials will be finalized after the add-drop period when the number of registered students is known.




Assessment for the course is 100% coursework.  It is comprised of three parts:

  1. Tutorials and in-class participation (20%)
    Please note that attendance of all tutorials is mandatory.

  2. Mid-term quiz (multiples choice and short open-ended questions) (30%)

  3. Course assignment: analysis of authentic discourse data (spoken, written or multimodal).
    The assignment will be assessed according to the following criteria:
    (a) selection of data extract for analysis and transcription (in case of spoken data and multimodal data) (10%);
    (b) an essay based on the analysis of the selected data (40%)




There is no specific textbook for the course. Relevant readings and references will be provided in class.



Last updated: 29 August 2017