Universität Wien
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040182 SE Research Seminar (MA) (2023W)

4.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
ON-SITE
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. 18 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Mandatory presence for the presentations: Wednesday, 24th of January (15:00 - 18:15)

  • Wednesday 11.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 25.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 08.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 15.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 22.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 29.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 06.12. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 13.12. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 10.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Wednesday 24.01. 15:00 - 18:15 PC-Seminarraum 1, Kolingasse 14-16, OG01

Information

Aims, contents and method of the course

The goal of the class is to teach participants the skills necessary to write a scientific paper in the field of business analytics. This includes gaining expertise about current topics as well as the ability to conduct required steps such as a literature review, choosing appropriate structure and layout and citing scientific references correctly.

This seminar will focus on “Location Planning and Network Design”. Decisions on location are often strategic and have a major impact on the company’s success. Students learn to classify location problems and to model and solve location problems occurring in practice.
Students will work alone or in small groups on a research topic that includes the implementation of a solution approach. There will be a list of topics that students can prefer. Topics are then assigned according to the overall preferences. Students will write a seminar paper and present their work in class. Homework assignments will cover the modelling of problems and the implementation of solution methods.

Assessment and permitted materials

Seminar Paper [40%]
Presentation (including participation in discussion) [30%]
Homework [30%]

The use of AI tools (e.g. ChatGPT) for the production of texts is not permitted!

Minimum requirements and assessment criteria

For a positive grade, students have to achieve at least 50 percent (overall score) and individually pass the term paper.

Examination topics

Seminar Paper and class-related content

Reading list

Daskin, M.S.: Network and Discrete Location: Models, Algorithms, and Applications, Second Edition. Wiley, 2013

Association in the course directory

Last modified: Th 19.10.2023 17:27