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Poslední úprava: Mirna Jusić, M.A., Ph.D. (26.02.2024)
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Poslední úprava: doc. Mgr. Martin Hájek, Ph.D. (22.01.2022)
The aim of this course is to provide students with knowledge of relatively broad issues of methods of analysis of these self-descriptions, which are mainly texts in their nature (media texts, biographic narratives, conversations, open-ended questions in questionnaires, expert discourse texts etc.). The successful student will become fluent in the vocabulary of narrative, discursive, content, and computer-assisted text analyses and bring those tools to bear on various kinds of texts. |
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Poslední úprava: doc. Mgr. Martin Hájek, Ph.D. (22.01.2022)
Course requirements and assignments. Assignment guidelines: To succesfully finish the course, any student has to achieve at least a half of the points in every assignment, i.e., 21 pts. for homework, 15 pts. for the term paper, and 14 pts. in oral examination. Evaluation: |
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Poslední úprava: Mirna Jusić, M.A., Ph.D. (26.02.2024)
Obligatory reading: Baker, P. Using Corpora in Discourse Analysis. 2006. Ch. Frequency and Dispersion. Recommended textbook: Recommended reading:
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Poslední úprava: Mirna Jusić, M.A., Ph.D. (26.02.2024)
1. Introductory class 2. A text - key concepts; homework 1 3. Levels of text analysis 1 - operative and cooperative reading; homework 2 4. Levels of text analysis 2 - word, sentence and supra-sentence level; homework 3 5. Narrative analysis 1 - introduction; homework 4 6. Narrative analysis 2 - structural and hermeneutic approaches; homework 5 7. Narrative analysis 3 - interactional and network approaches 8. Discourse analysis 1 - Foucauldian approach 9. Discourse analysis 2 - CDA approach; homework 6 10. Discourse analysis 3 - analysis of conversations (P. Grice); homework 7 11. Discourse analysis 4 - performativity of discourse 12. Software for textual analysis |