Single-Course English 5 ECTS

Statistical modelling: Theory and practice

Overall Course Objectives

To introduce some of the most applied statistical methods and to introduce more advanced and theoretical topics in statistics with focus on likelihood theory. The course participants will learn to conduct statistical analysis using the software R. Emphasis will be put on analysis, interpretation and presentation of data. The course is a link between the introductory course and more advanced course offered at the Department.

Learning Objectives

  • Formulate and apply the most common statistical models
  • Perform model check and be able to evaluate the adequacy of statistical methods in specific applications
  • Be able to interpret and present results from statistical analysis
  • Have knowledge about estimation methods, in particular the principle of Maximum Likelihood
  • Have knowledge about simulation based methods
  • Have knowledge about Bayesian methods
  • Be able to perform standard statistcial analysis using the statistical software R
  • Recognize the possible use and potential of more advanced statistical methods
  • Be able to present statistical findings for an audience without statistical background

Course Content

The course will cover the most common methods in applied statistics, usually illustrated with case stories and the statistical software R. Also more theoretical issues are covered. A number of lectures will introduce more advanced topics and thus motivates for more advances courses at the Department.

Recommended prerequisites

02402/02403, Knowledge of statistical methods equivalent to course 02402/02403. Some additional knowledge of probability theory is an advantage.

Teaching Method

Lectures and excercises (integrated) plus solution of a practical assignment.



The course is a link between the introductory course and more advanced course offered at the Department.

See course in the course database.





13 weeks




DTU Lyngby Campus

Course code 02418
Course type Bachelor
Semester start Week 35
Semester end Week 48
Days Tues 13-17

7.500,00 DKK