Transportation Economics M.Sc.
Winter semester
| Regular Cycle | Winter term |
| Lecturer | Prof. Dr. rer. pol. Pascal Kerschke; Lennart Schäpermeier, M.Sc. |
| Type | Lecture and Tutorial |
| News and materials |
Regular meetings: The kickoff event will be on Monday, October 14, 2024, between 4:40 pm and 6:10 pm in HÜL 386 (Hülße-Bau). |
| Usability | VW-TEc-MA-PFL 50 |
This module focuses on the use and application of fundamental data analytics and machine learning methods that are relevant for working with transportation-related data.
| Regular Cycle | Winter term |
| Lecturer | Prof. Dr. rer. pol. Pascal Kerschke; Lennart Schäpermeier, M.Sc.; Konstantin Dietrich, M.Sc. |
| Type | Seminar |
| News and materials |
Information about the date, time, and location of the kickoff event will be announced until the start of the winter term. |
| Usability | VW-TEc-MA-SPE 53 |
The module's content is the independent processing of scientifically relevant questions and their discussion and presentation in the application of data analytics methods that focus on answering transport economic questions on an operational or societal level.
Summer semester
| Regular Cycle | Summer semester |
| Lecturer | Jonathan Heins, M.Sc., Lennart Schäpermeier, M.Sc. and Konstantin Dietrich, M.Sc. |
| Type | Lecture and exercise |
| News and materials | |
| Dates |
First meeting (Summer 2024): |
| Usability | VW-TEc-MA-PFL 51 |
The Module contents are theoretical concepts and the application of advanced methods of data analysis relevant to the processing of trafficrelated data. These are treated with reference to current research.
| Regular Cycle | Summer semester |
| Lecturer | Prof. Dr. rer. pol. Pascal Kerschke |
| Type | Seminar |
| News and materials |
For details, see corresponding OPAL course Kickoff meeting (Summer 2024): |
| Usability | VW-TEc-MA-SPE 52 |
The module’s content covers the specific methods of data analysis required for the field of application as well as the use of these methods to solve relevant problems. The content is based on the current state of research.