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Nr. LV-Typ(en) LV-Titel
5697 PI Advanced Research Methods & Project Management (Group A) Präsenz-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 02.03.2024 23:59

LV-Leiter/in Univ.Prof. Mag.Dr. Gerald Reiner, Assoz.Prof PD Lena Silbermayr, Ph.D., Assoz.Prof PD Dr. Emel Arikan Fichtinger, M.Sc.
Planpunkte Master Advanced Research Methods & Project Management
Semesterstunden 1
Unterrichtssprache Englisch

Termine
Di, 05.03.2024 08:30-12:00 Uhr D2.0.030 (Lageplan)
Di, 12.03.2024 08:30-12:00 Uhr D2.0.030 (Lageplan)
Di, 19.03.2024 08:30-12:00 Uhr D2.0.030 (Lageplan)
Di, 09.04.2024 08:30-12:00 Uhr D4.0.047 (Lageplan)
Termindownload (ical) | Termine abonnieren

Weitere Informationen https://learn.wu.ac.at/vvz/24s/5697

Kontakt:
gerald.reiner@wu.ac.at; emel.arikan@wu.ac.at; lena.silbermayr@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. Specific methods and their applications are explained in detail, i.e.

  • Introduction to operations and supply chain management research
  • Multi criteria decision making
  • Data Envelopment Analysis
  • System dynamics

 

We will employ tools such as Excel, R, Vensim, and DEAOS.

 

Lernergebnisse (Learning Outcomes):

After completion of 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 recognize the existence of different research methods.

Students will gain a detailed understanding of selected quantitative research methods, become familiar with supporting computational tools, and be able to apply those in relevant problem settings.

Regelung zur Anwesenheit:

Attendance in all sessions (full presence) is mandatory.

Lehr-/Lerndesign:

Lecture, classroom discussions, assignments

Leistung(en) für eine Beurteilung:

Assessment will be based on three homework assignments where each assignment corresponds to one third of the final grade.

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: 23.11.2023 13:17

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