Syllabus
Anmeldung durch das Institut
Day | Date | Time | Room |
---|---|---|---|
Tuesday | 10/14/25 | 01:30 PM - 05:00 PM | D2.0.030 |
Wednesday | 11/12/25 | 09:00 AM - 12:30 PM | D2.0.334 Teacher Training Lab |
Tuesday | 12/16/25 | 01:30 PM - 05:00 PM | D2.0.030 |
During this seminar, students will work on assigned research projects on specific supply chain topics in small teams. The aim is to deepen their understanding on contemporary issues in sustainable supply chain management, conduct a literature review, and implement the skills gained through previous courses.
There will be
-- a kick-off meeting
-- progress presentation
-- final presentation
Additonally, students will be provided team supervision by the instructors.
Upon successful completion of the class, students should be able to
- analyse specific SCM problems related to sustainability
- develop and present their ideas in a team
- critically evaluate and discuss published research from the SCM literature
Full attendance in all the sessions is required. Additionally, students are expected to have regular meetings with the supervisors.
Final grade is based on
- Proposal presentation (11%)
- Final presentation (15%)
- Discussion and peer-feedback (10%)
- Seminar paper (60%)
- Participation in SCM speaker series (2 events) (4%)
Grading scale:
(1) Excellent: 90% - 100%
(2) Good: 80% - <90%
(3) Satisfactory: 70% - <80%
(4) Sufficient: 60% - <70%
(5) Fail: <60%
Important note
There is the possibility to get a total of 4 points (per seminar and semester) if you participate in Speaker Series events:
- max. 2 points for 1 short summary (practitioner presentation)
- max. 2 points for 1 short summary (academic presentation)
https://www.wu.ac.at/en/scm/events/speaker-series/
Information regarding Speaker Series summary:
Any work handed in for grading can be submitted and graded as course work only once. Otherwise, it would be plagiarism. Therefore, if you want to earn extra points in a course you must submit original summaries
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Guidelines for AI use:
1. Is the use of AI-based software for your course/exam an (un)authorized aid?
Allowed is the use of AI-based software for writing support, such as Grammarly. However, it is mandatory to indicate the use of any AI-based software in your written work. If you use AI-based software for text and content generation such as ChatGPT in your reports, presentations, or any other written text, it is mandatory to:
a) verify the information generated and
b) add all relevant references for the text, data, and AI-based software.
During in-class discussions, we will challenge the results and insights from your presentations and written work.
2. How to indicate the permitted use of AI-based software?
You need to provide indication in a footnote for the corresponding sections AND add a detailed appendix with specific "prompts" and the responses from the text generation software.
3. What will your initial steps be for any suspected cases of unauthorized use of AI-based software?
Note that in case of suspicious cases, we will set up an additional individual oral audit interview with the student.
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