Physiologic modeling (elective 2.e.)


Recommended prerequisite for participation in the module


Content, progress and pedagogy of the module

Learning objectives


Students who complete the module:

have knowledge about

  • bioelectric models
  • biochemical models 
  • biomechanical models

with the course both highlighting the similarity of mathematical representation across these type of models, and exemplifying these models with examples from various physiologic subsystems and therapeutic interventions including pharmacokinetics


have obtained skills in relation to model construction, simulation, fitting and validation which includes:

  • building of compartmental models
  • a basic understanding of other model types including finite element modeling.
  • parameter estimation and numerical optimization
  • identifiability and the appropriateness of model complexity.
  • evaluating the goodness of model fitting – model fitting statistics


  • are able to integrate skills and knowledge from different scientific fields

Type of instruction

Lectures and exercises.



Name of examPhysiologic modeling
Type of exam
Written or oral exam
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Additional information

Please contact the   programme student counsellors if you consider applying to the education and you have questions.

Please consult the Moodle page for your semester and contact the semester coordinator if you have academic questions, or the study secretary if you have administrative questions.

All other enquiries may be directed to Malene Møller Knudsen, secretary of the Study Board.

Facts about the module

Danish titleFysiologisk modellering (valgfag 2.e.)
Module codeSTIST11K2_6
Module typeCourse
Duration1 semester
Language of instructionDanish and English
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module


Education ownerMaster of Science (MSc) in Engineering (Biomedical Engineering and Informatics)
Study BoardStudy Board of Sports Science and Public Health
DepartmentDepartment of Health Science and Technology
FacultyThe Faculty of Medicine