Universität Wien

041002 UK Scientific Writing for Master Candidates (2018W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Participants are strongly encouraged to bring their own laptops to each session to complete in-class assignments.
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. 20 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

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

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

Information

Aims, contents and method of the course

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.

Assessment and permitted materials

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

Minimum requirements and assessment criteria

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.

Examination topics

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

Reading list

Association in the course directory

Last modified: Mo 07.09.2020 15:29