Seminar on Business Analytics
Type and Deduction
B.A master's program: required elective subject within the main focus Business Analytics
Requirements
No requirements given. The number of participants is limited to 20+X.
Course Language
German (Englisch for single groups)
Scope of Deduction
2 SWS, 6 CP
Lecturers
Appointments during Winter Term 2025/26
- Registration phase (registration via STiNE): 10.06.2025
- Allocation of left-over seats: 01. and 02.07.2025
- Kick-off meeting and topic choice: Mo.,14.07.2025, 1:00 – 2:00 pm, room A514, VMP9, 5th floor
- Deadline for choosing a topic (four topics including their priority): Fri., 18.07.2025, 1:00 pm to kai.bruessau"AT"uni-hamburg.de
- Outline discussions: upon appointment
- Interim presentations of the work progress: upon appointment
- Submission deadline of the 1st version of seminar thesis: Mo., 24.11.2025, 1:00 pm
- Review phase including review submission: Tue., 25.11. – Fri., 28.11.2025, 1:00 pm
- Submission of the final version of seminar thesis incl. reply to reviews: Mo., 8.12.2025, 1:00 pm
- Presentations (usually we do not need more than two appointments – nevertheless please block all dates and times):
- Fri., 14.12.2025, 4:00 – 8:00 pm/
- Sat., 15.12.2025, 9:00 am – 6:00 pm/
- Sun., 16.12.2025, 9:00 am – 4:00 pm , room 2098/2194, VMP5
Please check the "Downloads and Infos" section on the right side and click on the topic list for further details concerning this seminar.
- Machine Learning
i) Applications in logistics
ii) Applications in e-commerce
iii) Applications in SCM
2. Web scraping and natural language processing
3. Applications of large language models
i) Recommender systems
ii) Categorization of products, suppliers, or other entities
iii) Named entity recognition
iv) Topic modeling
4. Machine learning forecasting methods and their application to a self-selected example (e.g., from kaggle.com)
5. Machine learning with classification models and their application to a self-selected example (e.g., from kaggle.com)
6. Computer vision with the help of convolutional neural networks
7. Reinforcement learning and its applications
8. Self-selected task in consultation with the supervisor
In consultation with the supervisor, the seminar paper may focus on theoretical scientific findings from the literature. However, it may also involve the practical implementation of a machine learning problem. In this case, the theoretical-scientific component is less significant and the evaluation of the results and the resulting knowledge gain are of greater importance.
Amaratunga, T.: Understanding Large Language Models, Apress Berkeley, CA, 2023, https://doi.org/10.1007/979-8-8688-0017-7
Charu C. Aggarwal: Data Mining - The Textbook, Springer, 2015, DOI: 10.1007/978-3-319-14142-8.
Gorunescu, F.: Data Mining - Concepts, Models and Techniques, Springer, 2011, DOI: 10.1007/978-3-642-19721-5.
Hastie, T.; Tibshirani, R.; Friedman, J. (2009): The Elements of Statistical Learning, Springer Science+Business Media. (Aktuellste und korrigierte Version von 2017.
Kordon, A. K.: Applying Data Science. How to Create Value with Artificial Intelligence, Springer Nature Switzerland, 2020.
McTear, M.; Ashurkina M.: Transforming Conversational AI, Apress Berkeley, CA, 2024, https://doi.org/10.1007/979-8-8688-0110-5
Qamar, U. , Raza, M.S. : Data Science Concepts and Techniques with Applications, Springer, 2023.
Rebala, G.; Ravi, A.; Churiwala, S. : An Introduction to Machine Learning, Springer Nature Switzerland, 2019.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin: Attention Is All You Need, 2017, https://arxiv.org/abs/1706.03762.
Websites, such as „Towards Data Science“ or „Medium“, my be used for familiarizing yourself to the topic, but not necessarily for quoting.