Course Catalog 2009-2010 International Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Person responsible

Tiina Manninen

Implementations

	Lecture times and places	Target group recommended to
Implementation 1	Per 1 : Monday 10 - 12, TB222 Monday 10 - 12, TB223

Requirements

Final examination, weekly exercises, and an assignment.
Completion parts must belong to the same implementation

Learning outcomes

After completing the course, the student will be able to create mathematical models, both deterministic and stochastic, of cellular systems, implement them, and solve their behavior computationally by running simulations. Systems include signal transduction, metabolism, and single cells. Morover, the student is able to explain the differences between deterministic and stochastic methods. After the course, the student has the necessary skills to use MATLAB environment in modeling.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Biological background of different cellular systems.
2.	Deterministic and stochastic methods to model the dynamical behavior of cellular systems.
3.	Simulation of deterministic and stochastic models.

Evaluation criteria for the course

The final grade comes from the exam. The grade is incremented by one if weekly exercises and assignment are done.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Partial passing:

Completion parts must belong to the same implementation

Study material

Type	Name	Author	ISBN	URL	Edition, availability, ...	Examination material	Language
Lecture slides	Mathematical Modeling of Cellular Systems	Tiina Manninen					English
Research	Scientific articles						English

Prerequisites

Correspondence of content

There is no equivalence with any other courses

Additional information

Course will be lectured every other year. Course will be lectured in the academic year 2009-2010. The credits of this course can be used for replacing SGN-6156 Computational Systems Biology II.

More precise information per implementation

	Description	Methods of instruction	Implementation
Implementation 1	Student will learn how to create mathematical models, both deterministic and stochastic, of cellular systems and solve their behavior computationally by running simulations. Systems include signal transduction, metabolism, and single cells.	Lectures Excercises	Contact teaching: 35 % Distance learning: 0 % Self-directed learning: 65 %

Last modified	16.12.2009
Modifier	Tiina Manninen