Statistical Methods for Transportation and Logistic Processes

What it is about

You will receive an introduction to statistical methods used in traffic and logistics processes. In the end you will be able to apply basic probability and statistics terms as well as inferential procedures, nonparametric methods, sampling methods, regression analysis and time series analysis to analyze empirical data.

What you will be able to do

• Understand probability and statistics fundamental concepts
• Apply estimation procedures and hypothesis tests
• Conduct goodness-of-fit tests
• Use nonparametric procedures
• Apply sampling and survey methods
• Utilize linear regression and correlation
• Perform time series analysis and forecasting
• Apply statistical methods with computer support

What the module consists of

• VorlesungVermittlung der theoretischen Grundlagen
• In-class exercisesApplication and practice of the content in the course
• HomeworksDeepening and independent practice outside the event
• DiscussionsClarification of open questions and deepening understanding

Teaching method

• LecturesIntroduction and systematization of the content
• In-class exercisesactive practice and consolidation of what has been learned
• Homeworksindependent application and deepening
• DiscussionsExchange and reflection on content