Statistics in Transport (PhD)

Budapest University of Technology and Economics
LEVEL
PhD
TYPE
Course
MODES
-
LANGUAGE
-
ECTS
3
PERIOD
04/09/2023 to 22/01/2024

Course Description

Transport is an integral part of advanced societies. He is responsible for passenger transport, including access to services and goods and leisure mobility. He is also responsible for transporting consumer goods. Regional, national and global economies rely on efficient and safe transport. The aim of the course is the statistical analysis of data generated during transport processes. Descriptive statistics. Class interval estimation, hypothesis test, sample comparison. Linear regression. Time series analysis. Principal Component Analysis. Spatial Statistics.

Subject area

Mathematics

Time format

weekly

Educational-info

Competences

The student repeats the material of the descriptive statistics and the hypothesis test. It learns the evolution of predictions, and thus opens up its thinking to accommodate novel solutions. The student will be able to specialize the general statistical problems in time and space.

Duration

28 h / 14 weeks

ECTS

3

Validation mode

Written examination

Maximum number of students

10

Organizer

Partner

Budapest University of Technology and Economics

Faculty

Faculty of Transportation Engineering and Vehicle Engineering

Department

Department of Transport Technology and Economics

Contact or registration links