Syllabus for Empirical Modelling

Empirisk modellering

  • 10 credits
  • Course code: 1RT890
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Technology A1N
  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2011-03-07
  • Established by:
  • Revised: 2018-08-30
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: week 24, 2019
  • Entry requirements: Automatic control I. Either of Probability and statistics or Basic mathematical statistics.
    English language proficiency that corresponds to English studies at upper secondary (high school) level in Sweden ("English 6").
  • Responsible department: Department of Information Technology


Examples of models for signal and systems. Introduction to stochastic processes. Modelling of dynamic systems with physical and empirical modelling. Parameter estimation in dynamic models; linear regression, the least squares method and prediction error methods. Black box and grey box modelling. Methods for model validation. Possibilities and limitations with empirical modelling. Overview of some modelling problems in energy systems.
Project: There are several project proposals to choose from, e.g. empirical modelling of some systems with relevance to energy systems.


Lectures, lessons, tutorials and laboratory work.
Project supervision.


Passed mini project and passed laboratory course are required. Complementary written examination may occur. 
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Reading list

The reading list is missing. For further information, please contact the responsible department.