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Course Catalog 2012-2013
BME-2716 Modelling of Physiological Systems, 5 cr |
Additional information
Suitable for postgraduate studies
Person responsible
Jari Hyttinen
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
Accepted final exam, exercise work and seminar presentation.
Completion parts must belong to the same implementation
Learning outcomes
Student can recognize the importance of modelling as a tool to study physiological systems and biomeasurement systems. Student can explain different modelling methods and procedures including various model clasess and methods from phsical and analog models to finite element applications as well as how different models can be constructed and used. Student can analyze forward and iverse porblems. Student has got practiced on modelling physiological systems with COMSOL multiphysics foftware.
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 apriori information, computational tools and measurements in model contruction. | |
| 2. | Finite element modelling (FEM) in modelling 3D physiological systems: basic principles, techniques and applications. FEM, FDM, BEM. | ||
| 3. | Modelling biological and physiological processes by cellular automata. | Modelling of cardiac activation and neural systems. | |
| 4. | Forward and inverse problems. Use of models of physiological systems for determination of forward and inverse solutions, a priori information, data, and model. | Various inverse problem regularization methods and their applications. |
Evaluation criteria for the course
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 (1-5) will be used on the course
Partial passing:
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Lecture slides | Modelling of Physiological Systems | J. Hyttinen | On the Internet | English |
Prerequisites
| Course | Mandatory/Advisable | Description |
| BME-5106 Cellular Interactions | Advisable | |
| SGN-6186 Mathematical Modeling of Cellular Systems | Advisable |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |
| Lectures |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |