Universität Wien

040232 UE Scientific Writing (2024S)

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

Mo 03.06. 11:30-13:00 Digital

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. 24 participants
Language: German, English

Lecturers

Classes (iCal) - next class is marked with N

Monday 04.03. 11:30 - 13:00 Digital
Monday 11.03. 11:30 - 13:00 Digital
Monday 18.03. 11:30 - 13:00 Digital
Monday 08.04. 11:30 - 13:00 Digital
Monday 15.04. 11:30 - 13:00 Digital
Monday 22.04. 11:30 - 13:00 Digital
Monday 29.04. 11:30 - 13:00 Digital
Monday 06.05. 11:30 - 13:00 Digital
Monday 13.05. 11:30 - 13:00 Digital
Monday 27.05. 11:30 - 13:00 Digital
Monday 10.06. 11:30 - 13:00 Digital
Monday 17.06. 11:30 - 13:00 Digital
Monday 24.06. 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: Mo 26.02.2024 20:25