Advanced Seminar Logistics & SCM
(Prof. Dr. Stefan Minner, Kai Zhu; Kick-off meeting: Apr. 17, 14:00 - 16:00 (0544))
Data Science for Logistics and Supply Chain Management
This seminar provides participants with the essential skills and tools needed to embark on a successful master thesis project. Participants will be granted the opportunity to work on real-world datasets, engage in literature reviews to identify recent and leading contributions on the assigned topic, answer important research questions and develop their own critical analyses.
Registration
Please note: The registration for the seminars of the TUM School of Management is now done via TUMonline
Course description
Each course participant will be given the opportunity to work on a dataset with some initial research topics.
Each participant needs to identify the research questions based on the chosen dataset and topic, and then research relevant literature on this topic in order to write a 15-20 pages seminar paper (that describes the problem, dataset and solution approaches).
In the kick-off meeting, we will outline the objectives of the seminar as well as expectations and deadlines. We also highlight what constitutes a good seminar paper, provide writing tips, and present possible topics (including introductory literature).
In weeks 2-4, we will host three Python-based topical sessions focused on data preparation, descriptive analysis, and various data science methodologies. These sessions are designed to equip participants with foundational skills in data analysis and modeling.
Each participant will be mentored and individually coached by an advisor of the ››› team.
The seminar paper is to be submitted and presented in July 2024.
Important dates
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