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Pfad: VVZ SoSe 2024 > Verzeichnis der LV gegliedert nach Instituten und Abteilungen

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Nr. LV-Typ(en) LV-Titel
5929 PI Advanced Research Methods & Project Management (Group E) Blended-Modus
Anmeldung durch das Institut
vom 12.02.2024 14:00 bis 29.02.2024 23:59
Abmeldung durch das Institut
vom 12.02.2024 14:00 bis 09.03.2024 23:59

LV-Leiter/in Dr. Katja Wölfl, MBA
Planpunkte Master Advanced Research Methods & Project Management
Semesterstunden 1
Unterrichtssprache Englisch

Termine
Di, 12.03.2024 12:00-15:30 Uhr D2.0.342 Teacher Training Raum (Lageplan)
Di, 19.03.2024 12:00-15:30 Uhr D3.0.222 (Lageplan)
Do, 25.04.2024 09:00-12:30 Uhr D2.0.030 (Lageplan)
Do, 02.05.2024 08:30-12:00 Uhr D2.0.038 (Lageplan)
Termindownload (ical) | Termine abonnieren

Weitere Informationen https://learn.wu.ac.at/vvz/24s/5929

Kontakt:
katja.woelfl@wu.ac.at
Inhalte der LV:

Following up on the contents of the classes on “Academic Writing” in the first semester, this class delves deeper into academic research methods. More specifically, students will be introduced to qualitative research methods, its assumptions, and its applicability to supply chain management research.

Lernergebnisse (Learning Outcomes):

After completing this course, students have a basic understanding of how research in Supply Chain Management is conducted. They are able to formulate a research question, and understand differences between research methods.

Students will gain a deeper understanding of qualitative research methods (e.g., how to conduct and analyze interviews) and how to use qualitative methods in their Master thesis. 

Regelung zur Anwesenheit:

Attendance in all sessions (full presence) is mandatory.

Lehr-/Lerndesign:

Lecture, classroom discussions, classroom presentations, assignments

Leistung(en) für eine Beurteilung:

The assessment is based on the following elements:

  • In-class participation and assignments (20%)
  • Group project (50%)
  • Peer feedback (group project) (5%)
  • Individual assignment (25%)

Grading scale:

  • Excellent (1): 90.0% - 100.0%
  • Good (2): 80.0% - <90.0%
  • Satisfactory (3): 70.0% - <80.0%
  • Sufficient (4): 60.0% - <70.0%
  • Fail (5): <60.0%
Zuletzt bearbeitet: 26.01.2024 17:18

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