Universität Wien

420012 SE Argumentation in Linguistics (2020S)

8.00 ECTS (2.00 SWS), SPL 42 - Philologisch-Kulturwissenschaftliches Doktoratsstudium
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 11.03. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19
  • Wednesday 18.03. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19
  • Wednesday 25.03. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19
  • Wednesday 01.04. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19
  • Wednesday 22.04. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19
  • Wednesday 29.04. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19
  • Wednesday 06.05. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19
  • Wednesday 13.05. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19
  • Wednesday 20.05. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19
  • Wednesday 27.05. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19
  • Wednesday 03.06. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19
  • Wednesday 10.06. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19
  • Wednesday 17.06. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19
  • Wednesday 24.06. 16:00 - 18:00 Raum 4 Anglistik UniCampus Hof 8 3E-EG-19

Information

Aims, contents and method of the course

Due to the strong emphasis on digital humanities over the last decade, much attention is nowadays directed towards ways of gathering and processing data. In this course, however, we will focus on the next, crucial, step in the process of doing linguistic research, that of building up a coherent argument on the basis of the collected data; i.e. of turning data into evidence. In other words, we will look at how data (of any kind) can be used to make a valid point within the parameters chosen for the study in question, and how, if done successfully, this can lead to new insights into and implications for the particular topic/field of interest. For this purpose, we will look at published articles to find out how successful authors are in using their data to argue their point (independently of whether the reader agrees with the approach taken).

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COVID-19: Any changes to the methods or assessment criteria necessitated by the current Corona situation will be communicated directly to students via moodle.
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Assessment and permitted materials

Assessment is based on
class participation, tasks and assignments; oral presentation

Minimum requirements and assessment criteria

Regular attendance (maximum 2 absences)
Active in-class participation (33%)
Presentation on your PhD project (33%)
Submit all tasks on time (33%)
Rating scale:
Sehr gut (1): 90-100%
Gut (2): 80-89%
Befriedigend (3): 70-79%
Genügend (4): 60-69%
Nicht genügend (5): 0-59%

Examination topics

n.a.

Reading list

Readings will be specified at the beginning of the seminar and throughout the semester.

Association in the course directory

Last modified: Mo 07.09.2020 15:22