Syllabus

Title
5657 Thesis Seminar in Supply Chain Management (TS 5)
Instructors
Univ.Prof. Dr. Miriam Wilhelm, Dr. Katja Wölfl, MBA
Type
FS
Weekly hours
2
Language of instruction
Englisch
Registration
02/28/25 to 02/28/25
Registration via LPIS
Notes to the course
This class is only offered in summer semesters.
Subject(s) Master Programs
Dates
Day Date Time Room
Thursday 03/06/25 09:00 AM - 01:00 PM Online-Einheit
Thursday 03/13/25 09:00 AM - 01:00 PM D2.0.030
Thursday 04/24/25 01:00 PM - 05:30 PM D2.0.030
Wednesday 06/04/25 09:00 AM - 01:00 PM D2.0.334 Teacher Training Lab
Contents

In the thesis seminar course, the major issues are the critical evaluation and discussion of the Master's thesis in order to enhance its quality. Principles of scientific work and quality standards of the scientific community will be presented. Lectures will provide input concerning topics of relevance.

Learning outcomes

After successful completion of the seminar, students should be able to critically evaluate and discuss published results from the literature. Furthermore, they should have acquired the skills to write a Master's thesis of high quality and to effectively present their work.

Attendance requirements

According to the examination regulation full attendance is necessary. Absence in one unit is tolerated if a proper reason is given.

Teaching/learning method(s)

presentations, discussions, and assignments

Assessment

Total of 100 points:

  • Proposal Presentation: 15 points
  • Progress Presentation: 20 points
  • Final Presentation (Thesis Defensio): 50 points
  • Peer Feedback (following the Progress Presentation and the Final Presentation): 11 points
  • Speaker Series: 4 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%

Information regarding the use of AI:
The use of AI-based software for writing support, such as Grammarly, is allowed. However, it is mandatory to indicate the use of any AI-based software in your written work in the 'list of aids' that needs to be submitted with your Msc thesis.

If using 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.
c) provide the specific "prompts" you used in the list of aids. 

Note that in suspected cases of unauthorized use of AI-based software, we will set up an additional individual oral audit interview with the student.

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.

Prerequisites for participation and waiting lists

The successful completion of the course "Advanced Research Methods & Project Management" (according to the curriculum) + "Seminar Course: Special Issues in SCM" (strongly recommended). 

Readings

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AI Policy

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.

Last edited: 2025-02-18



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