Vorlesungs­verzeichnis

Proseminar Linguistics 2

Critical Discourse Analysis.

122048 PS 2020W

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Moodle

Vortragende der Germanistik:

• Markus Rheindorf

ONLINE (digital)

 

Ziele, Inhalte und Methode der Lehrveranstaltung

Discourse Analysis, sometimes also referred to as Discourse Studies, comprises multiple fields of linguistic enquiry, methodologies and empirical approaches. These range from strongly quantitative corpus-driven and corpus-based studies (Corpus Linguistics) to highly qualitative and theoretically engages studies (Critical Discourse Analysis). While this heterogeneity has been criticized as a lack of coherence, as eclecticism or even as arbitrary, it has also inspired innovative and productive approaches - particularly in the combination of different methods (i.e. methodological triangulation). This course will engage with the heterogenous "toolbox of discourse analysis" (Foucault) and related critical debates, covering both well-established and recent approaches to analysing discourse.

In this course, students gain:
- an understanding of the theoretical foundations of discourse analysis and related debates,
- an awareness of the methodological diversity in discourse analysis,
- an understanding of several key methods and approaches, including their strengths and weaknesses,
- an insight into what it means to work empirically, i.e. to design a discourse study, collect data and analyse it,
- an understanding of methodological triangulation as research strategy.

 

Art der Leistungskontrolle und erlaubte Hilfsmittel

The final grade is based on exercises, reading, active participation, writing research proposal (also presented in class) and a seminar paper at the end of term.

 

Literatur

Will be posted on Moodle

 

Prüfungsstoff

All contents covered in the readings and in class.

 

Mindestanforderungen und Beurteilungsmaßstab

Regular class attendance (max 2 absences)
Participation, readings, smaller assignments 15%
Research Proposal 20%
Presentation 15%
Seminar paper (3500 words, excluding references and graphs) 50%
You need 60% to pass the course.
Plagiarism or cheating on any of the tasks will not be tolerated.