Kontakt: |
anton.pichler@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., - Data science methods and descriptive analytics (with R)
- Data science methods and inference statistics (with R)
- Structured literature review
- Surveys and interviews
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Lernergebnisse (Learning Outcomes): |
After completion of this course, students have a basic understanding of various quantitative and qualitative research methods in Supply Chain Management. They are able to formulate a research question and recognize the existence of different research methods. Students will be able to differentiate between the different research methods and decide and apply appropriate analytical tools in specific research situations. |
Regelung zur Anwesenheit: |
According to the examination regulation full attendance is necessary. |
Lehr-/Lerndesign: |
Lecture, scientific computing, classroom discussions, assignments, cases. |
Leistung(en) für eine Beurteilung: |
Total of 100 points: - Assignment 1: Data science methods and descriptive analytics with R (group, 25 points)
- Assignment 2: Data science methods and inference statistics with R (group, 25 points)
- Assignment 3: Structured literature review (individual, 25 points)
- Assignment 4: Survey and expert interviews (group, 25 points)
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%
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