230149 SE Computer supported content analysis (2015S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mi 04.02.2015 08:00 bis Di 24.02.2015 23:59
- Abmeldung bis So 15.03.2015 23:59
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