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
Dr. Kai Brüssau, Prof. Dr. Stefan Voß
Appointments during Winter Term 2022/23
| Registration phase (registration via STiNE) | Mo, May 30, 9:00 am – Wed, June 8, 1:00 pm |
| Allocation of left-over seats | Tue, June 21 – Mo, June 27 |
| Kick-off meeting and topic choice | Mo, July 4, 1:00 pm – 2:00 pm (room no 2098) |
| Deadline for choosing a topic (four topics including their priority) | Wed, July 6, 1:00 pm to frank.schwartz@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., Nov. 21, 1:00 pm |
| Review phase including review submission: | Tue., Nov. 22 – Fri., Nov. 25, 1:00 pm |
| Submission of the final version of seminar thesis incl. reply to reviews: | Mo., Dec. 12, 1:00 pm |
| Presentations (usually we do not need more than two appointments – nevertheless please block all dates and times) |
Fri., Dec. 16, 4:00 pm – 8:00 pm/ Sat., Dec. 17, 9:00 am – 6:00 pm/ Sun., Dec. 18, 9:00 am – 4:00 pm, rooms will be announced in STiNE |
Please check the "Downloads and Infos" section on the right side and click on the topic list for further details concerning this seminar.
The seminar in Business Analytics comprises topics from the areas Business Analytics and Data Mining.
In accordance with your supervisor the focal point of your seminar thesis can be based on theoretic and scientific literature-based findings or it can be based on the practical implementation of a Data Mining task. In the latter case, the theoretical and scientific part of the thesis is smaller. The evaluation of your solutions and the resulting knowledge gain are given more room in this kind of thesis.
The seminar thesis can be written either in German or in English.
The following topics are available:
- Data-Mining in Logistics
- Data-Mining in E-Commerce
- Web Scraping and Natural Language Processing
- Distributed Ledger Technology (DLT): Overview of DLT and its applications
- Using Decision Trees, Random Forest and Boosting for a classification and depicting it with your own example (e.g. by kaggle.com)
- Using Logistic Regression and Support Vector Machines for a classification and depicting it with your own example (e.g. by kaggle.com)
- Topic Modeling (theory and/or practice of your own example)
- You can also coose your own topic in accordance with your supervisor
In the case of several students choosing different practical applications, the topics 5 – 8 can be allocated several times. If need be, the practical applications can also be handed out by the supervisor. In any case, your supervisor has to agree upon on your chosen practical application.
Other topics will be announced on the IWI website well before the topic allocation deadline.
Literature recommendations will be provided according to the chosen topic and during the kick-off meeting. Additionally, you can find literature for specific topics in the topic list.