Courses persons responsible
Juha Nousiainen

Lecturers
PhD Frank Sachse

Implementations

	Period 1	Period 2	Period 3	Period 4	Period 5	Summer
Lecture	-	-	-	-	4 h/week	-
Exercise	-	-	-	-	2 h/week	-
Exam

(Timetable for academic year 2006-2007)

Objectives
The objective is to provide detailed insights in modelling approaches, which are applied to describe and reconstruct physical properties and physiology of the cardiovascular and nervous system. Students will be enabled to classify modelling approaches and select appropriate models as research and development tools. Numerical methods for solving of the underlying systems of equations will be addressed with regard to their efficient implementation.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Models of ion channels and cellular electrophysiology : Hodgkin-Huxley type models, Markov models.
2.	Models of cardiac and neuronal electrical conduction: cellular automata, excitation/diffusion models.
3.	Mechanical models: models of cellular force development and models of passive structure mechanics.
4.	Models of blood flow.
5.	Models of metabolism

Requirements for completing the course
Active participation in the lectures and exercises and final exam.

Evaluation criteria for the course

Study material

Type	Name	Auhor	ISBN	URL	Edition, availability...	Exam material	Language
Book	Computational Cardiology. Modelling of Anatomy, Electrophysiology, and Mechanics	Frank B. Sachse	3-540-21907-2			Yes	English
Summary of lectures	Lecture slides.	Sachse, F.			On the Internet.	Yes

Prerequisites

Code	Course	Credits	M/R
LTT-6106	LTT-6106 Bioelectromagnetism	6	Recommendable
LTT-6406	LTT-6406 Modelling of Physiological Systems	5	Recommendable

Prequisite relations (Sign up to TUT Intranet required)

Remarks

Distance learning

- In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
- In compiling teaching material, particularly for online use or other electronic media
- In compiling exercise, group or laboratory work
- In distributing and/or returning exercise work, material etc
- In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips
- In exams or assessment of knowledge and skill/learning
- The course utilizes a learning platform, which? Moodle

- Contact teaching: 50 %
- Distance learning: 10 %
- Proportion of a student's independent study: 40 %

Scaling

Methods of instruction	Hours
Lectures	72
Exercises	48
Information and communication technology	6

Other scaled	Hours
Exam/midterm exam	3
Total sum	129

Course homepage

Last modified	06.04.2006
Modified by	Juha Nousiainen