Universität Wien FIND

Kehren Sie für das Sommersemester 2022 nach Wien zurück. Wir planen Lehre überwiegend vor Ort, um den persönlichen Austausch zu fördern. Digitale und gemischte Lehrveranstaltungen haben wir für Sie in u:find gekennzeichnet.

Es kann COVID-19-bedingt kurzfristig zu Änderungen kommen (z.B. einzelne Termine digital). Informieren Sie sich laufend in u:find und checken Sie regelmäßig Ihre E-Mails.

Lesen Sie bitte die Informationen auf https://studieren.univie.ac.at/info.

041002 UK Scientific Writing for Master Candidates (2018W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

Participants are strongly encouraged to bring their own laptops to each session to complete in-class assignments.

An/Abmeldung

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

Details

max. 20 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Participants are strongly encouraged to bring their own laptops to each session to complete in-class assignments.

Mittwoch 03.10. 13:15 - 16:30 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Mittwoch 17.10. 13:15 - 16:30 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Mittwoch 31.10. 13:15 - 16:30 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Mittwoch 14.11. 13:15 - 16:30 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Mittwoch 28.11. 13:15 - 16:30 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Mittwoch 12.12. 13:15 - 16:30 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Writing is as much part of Economics as are models and data sets. This course aims to familiarise master students with essential writing skills and techniques, paying particular attention to discipline-specific writing conventions. This will be achieved through hands-on writing practice, in which reflection, revision and editing activities will be key elements.
Employing Data-Driven Learning (DDL) tools and techniques, participants will be guided to discover useful language patterns for use in their own discipline-specific writing. With this end in view, various data sources and easy-to-use software tools will be introduced that can facilitate composition at various stages of the writing process and will provide participants with a valuable reference and editing tool that can be applied to any scientific writing activity well beyond the context of this course.
Please note that participants must have definite plans to write their M.A. thesis in English, ideally on the basis of a working title approved by their supervisor; some demonstrable experience in writing scientific English would also be desirable.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Regular attendance is mandatory. Assessment criteria are as follows: In-class participation and assignments (approx. 40%), two written assignments (approx. 30% each).

Mindestanforderungen und Beurteilungsmaßstab

Participants will be able to organize their own thesis writing process, to produce understandable and coherent paragraphs and to use suitable expressions and phrases in the corresponding sections/passages of discipline-specific texts.
According to the individual aims and needs participants will have learnt how to write meaningful abstracts, effective introductions and conclusions.
Participants will learn about Data-Driven Learning (DDL) tools and techniques.
They will be capable of identifying and using suitable, discipline-specific patterns of academic language. They will be able to use key linguistic devices for argumentation and persuasion, guiding the readers through their texts.

Prüfungsstoff

Hands-on writing practice, using language corpora and software tools in writing and editing activities, group interaction, lecturer input, discussions, peer-feedback.

Literatur


Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:29