Single-Course English 5 ECTS

Advanced analytics for mobility and transport

Overall Course Objectives

The course is focused on linear regression analysis, which is an important tool in marketing, planning, operations and causal analysis. The course continues to use “R” statistics software, which was introduced in the course “Statistics – A first Course”. Students practice with a variety of data types and problem descriptions, with emphasis on applications in mobility and transport.

Learning Objectives

  • Formally define problems and identify the relevant analysis
  • Choose, collect, format, and clean data according to recommended standards
  • Describe data by means of descriptive statistics, ANOVA, and test for significance
  • Explain the theoretical basis for linear regression and “ordinary least squares”
  • Perform residual analysis, apply data transformations, and evaluate model fit
  • Fit multiple regression models with stepwise regression
  • Formulate decision models with logistic regression
  • Evaluate case studies in forecasting or causal analysis
  • Develop skills in relevant statistical analysis software, especially “R”.

Course Content

The course introduces linear regression and then continues to advanced methods. Learning objectives cover both methods and problem solving tips. A variety of data sets from mobility and transport are explored to demonstrate complex models, but also to demonstrate what can go wrong, and how to avoid false interpretations. The course ends with an emphasis on real world data and the possibility of multiple interpretations of that data.

Recommended prerequisites

62668, Students should have previously passed a course covering descriptive statistics, distribution fitting, and hypothesis testing. This is a firm requirement.

Teaching Method

Lectures, exercises, and some group work.



Research group: Production, Transportation and Planning
Obligatorisk B.Eng. in Mobility, transport and logistics: 3. semester

See course in the course database.





13 weeks


Engineering Technology


DTU Ballerup Campus

Course code 62637
Course type Graduate Engineer
Semester start Week 35
Semester end Week 48
Days Tues 13-17

7.500,00 DKK