Verkehrswirtschaft B.Sc.
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 | BA-VWI-SP57 |
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.
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 15, 2024, from 11:10 am until 12:40 pm (3rd DS) in room POT 13. |
| Course on OPAL | OPAL Course |
| Usability | BA-VWI-SP58 |
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; Felix Rauschert, M.Sc. |
| Type | Seminar |
| Course Dates |
Information about the kickoff event will be announced until the start of the winter term. |
| Course on OPAL | OPAL course |
| Usability | BA-VWI-SP59 |
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.
| 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 |
BA-VWI-PF 16 |
Im Rahmen des Moduls BA VWI-PF 16 "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.