Bachelor (esp. Verkehrswirtschaft B.Sc.)
Winter semester
| Regular Cycle | Winter term |
| Lecturer | Prof. Dr. rer. pol. Pascal Kerschke; Jonathan Heins, M.Sc. |
| Type | Lecture and Tutorial |
| Course Dates | The kickoff event will take place on Tuesday, October 14, 2025, from 11:10 am until 12:40 pm (3rd DS) in room POT 13. |
| Course on OPAL | OPAL Course |
| Usability | VW-VWI-SP51 |
This module's subject is the expansion of the canon of methods for a selected field of application.
| Regular Cycle | Winter term |
| Lecturer | Prof. Dr. rer. pol. Pascal Kerschke |
| Type | Seminar |
| Course Dates | The kickoff event will take place on Tuesday, October 14, 2025, from 11:10 am until 12:40 pm (3rd DS) in room FAL001. |
| Course on OPAL | OPAL course |
| Usability | VW-VWI-SP52 |
This module covers the processing of scientific literature in English, the formulation and discussion of scientific research questions, as well as the development of a concept for the analysis of structured and unstructured data using data analytics methods. In addition, the course content includes the preparation and presentation of scientific results using learned media skills.
Summer semester
| Regular Cycle | Summer semester |
| Lecturer | Prof. Dr. rer. pol. Pascal Kerschke |
| Type | Lecture and tutorial |
| Dates | |
| Course on OPAL | Link to the Course on OPAL |
| Usability | VW-VWI-SP50 |
This course provides an overview of methods and tools for importing, (pre-)processing, visualizing, and (exploratively) analyzing structured and unstructured data.
A substantial part of the course is conducted using the statistical programming language R.
| Regular Cycle | Winter term |
| Lecturer | Prof. Dr. rer. pol. Pascal Kerschke |
| Type | Seminar |
| News and materials |
Details are announced in the corresponding OPAL Course. |
| Course on OPAL | OPAL Course |
| Usability |
VW-VWI-PF 33 |
Im Rahmen des Moduls VW-VWI-PF 33 "wissenschaftliches und praktisches Arbeiten" ist eine Projektarbeit vorgesehen.
Ziel des Seminars ist es, die in den ersten zwei Semestern erworbenen betriebs-, volks- und verkehrswirtschaftlichen sowie mathematisch-statistischen Kenntnisse zur Bearbeitung und Lösung einer Aufgabenstellung aus dem Bereich Verkehrswirtschaft einzusetzen.
Die Professuren
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Volkswirtschaftslehre, insb. Verkehrspolitik und Raumwirtschaft
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Verkehrsbetriebslehre und Logistik
- Ökonometrie und Statistik, insb. im Verkehrswesen
- Big Data Analytics in Transportation
bieten aus ihren jeweiligen Lehr- und Forschungsgebieten Projektthemen an, die in Gruppen- oder Einzelarbeit zu bearbeiten sind.