Universität Wien
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040232 UE Scientific Writing (2025S)

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

Mo 03.03. 11:30-13:00 Digital

Details

max. 24 participants
Language: German, English

Lecturers

    Classes (iCal) - next class is marked with N

    • Monday 10.03. 11:30 - 13:00 Digital
    • Monday 17.03. 11:30 - 13:00 Digital
    • Monday 24.03. 11:30 - 13:00 Digital
    • Monday 31.03. 11:30 - 13:00 Digital
    • Monday 07.04. 11:30 - 13:00 Digital
    • Monday 28.04. 11:30 - 13:00 Digital
    • Monday 05.05. 11:30 - 13:00 Digital
    • Monday 12.05. 11:30 - 13:00 Digital
    • Monday 19.05. 11:30 - 13:00 Digital
    • Monday 26.05. 11:30 - 13:00 Digital
    • Monday 02.06. 11:30 - 13:00 Digital
    • Monday 16.06. 11:30 - 13:00 Digital
    • Monday 23.06. 11:30 - 13:00 Digital
    • Monday 30.06. 11:30 - 13:00 Digital

    Information

    Aims, contents and method of the course

    This course aims at supporting participants, who prepare, write or finalize an exposé, a master's thesis or a term paper, and participants, who strive for publishing their scientific work. Participants are enabled to prepare a manuscript for submission. Examples of best practice and pitfalls are given.

    Assessment and permitted materials

    tasks in "systematic literature search" (30%), tasks in "evaluation of scientific literature" (20%), preparation of outlines (40%), participation (10%), as well as in-class tasks and discussion.

    Minimum requirements and assessment criteria

    >= 50% of possible points

    Examination topics

    topic-specific

    Reading list

    Bauer C., Strauss C. (2016): Location-based Advertising on Mobile Devices: A Literature Review and Analysis. Management Review Quarterly (MRQ), Springer, 66:159–194.
    Ebster, C., Stalzer, L. (2017): Wissenschaftliches Arbeiten für Wirtschafts- und Sozialwissenschaftler, 5. überarbeitete und erw. Auflage, Wien facultas UTB.
    Srnka KJ, Koeszegi ST (2007). From words to numbers: How to transform qualitative data into meaningful quantitative results. Schmalenbach business review. 59(1):29-57.

    Association in the course directory

    Last modified: Fr 10.01.2025 00:01