BMT-63306 Modelling of Physiological Systems, 5 cr

Additional information

Suitable for postgraduate studies.

Person responsible

Aapo Tervonen, Jari Hyttinen

Lessons

Implementation Period Person responsible Requirements
BMT-63306 2018-01 1 - 2 Jari Hyttinen
Aapo Tervonen
Accepted final exam, exercise work and seminar presentation.

Learning Outcomes

Student can recognize the importance of modelling as a tool to study physiological, biological and biomeasurement systems. Student can explain different modelling methods and procedures including various model classes and methods from physical and analog models to finite element applications as well as how different models can be constructed and used. Student has practiced modelling physiological and biological systems with COMSOL Multiphysics software.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Modelling of physiological systems compared to pure "engineering" problems. Model classes and types for physiological systems. Model-analogue, descriptive-predictive, empirical-mathematical. How to build models of physiological systems.  Use of a priori information, computational tools and measurements in model construction.   
2. Basics of kinetic and compartmental models.     
3. Finite element modelling (FEM) in modelling 3D physiological systems: basic principles, techniques and applications. Also the basics of finite difference method (FDM) and boundary element method (BEM).     
4. Modelling biological and physiological processes by cellular automata or agent-based methods.  Modelling of epithelial tissue, cardiac activation and neural systems.   
5. Finding parameters for the models.     

Instructions for students on how to achieve the learning outcomes

The final grade of the course is determined based on the assessment of all part of the course. The weighting factor of each part is given at the beginning of the course. Grades 1-2: Learning outcomes have been achieved. Satisfactory command in core content of the course. Grades 3-4: Some learning outcomes have been exceeded qualitatively or quantitatively. Good command in core content and complementary knowledge of the course. Good or very good marks from all parts of the course. Grade 5: Most of the learning outcomes have been exceeded. Deep command in the whole content of the course. Almost maximum performance in all parts of the course.

Assessment scale:

Numerical evaluation scale (0-5)

Partial passing:

Completion parts must belong to the same implementation

Study material

Type Name Author ISBN URL Additional information Examination material
Book   Introduction to Modeling in Physiology and Medicine   Claudio Cobelli and Ewart Carson   978-0-12-160240-6       Yes   
Lecture slides   Modelling of Physiological Systems   J. Hyttinen & A. Tervonen       On the Internet   Yes   



Correspondence of content

Course Corresponds course  Description 
BMT-63306 Modelling of Physiological Systems, 5 cr ELT-63306 Modelling of Physiological Systems, 5 cr  

Updated by: Väisänen Outi, 13.03.2018