Universität Wien

230149 SE Computer supported content analysis (2015S)

5.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 25 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Dienstag 10.03. 09:00 - 10:30 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Montag 01.06. 09:00 - 14:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Montag 08.06. 09:00 - 14:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Montag 15.06. 09:00 - 14:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Montag 22.06. 09:00 - 14:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course offers a hands-on introduction to systematic methods for content analysis with a special focus on computer supported text analysis. Based on a broad range of analytic traditions, such as grounded theory, critical discourse analysis, controversy studies, issue mapping, and socio-semantic network analysis students will develop skills in data collection, preparation and analysis practices, exploring a range of techniques and approaches. The objective is to equip students with the necessary experience to be able to select appropriate methods for their own research questions.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Mindestanforderungen und Beurteilungsmaßstab

Prüfungsstoff

The class is set up like a collaborative research project dealing with the issues revolving around shale gas and fracking. Therefore, students will choose thematic groups and assignments at the beginning of the semester, collect relevant text data until the start of the course in June. We will only use freely available software, to be installed and used on students personal computers.

Students are expected to complete all reading and other assignments prior to class. Time in class will be split between lectures, discussions, and group-exercises. Lectures will review conceptual points and challenges of each approach and data type (e.g. social media vs news media). Exercises contain practising methods of data collection and text analysis. The last meeting will be spent presenting and discussing results.

Literatur


Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:39