Course Catalog 2014-2015
International

Basic Pori International Postgraduate Open University

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Course Catalog 2014-2015

SGN-53006 Computational Modeling in Biomedical Problems, 5 cr

Additional information

Suitable for postgraduate studies

Person responsible

Andre Sanches Ribeiro

Lessons

Study type P1 P2 P3 P4 Summer Implementations Lecture times and places
Lectures
Excercises
 2 h/week
 4 h/week


 


 


 


 
SGN-53006 2014-01 Monday 12 - 14 , TB220

Requirements

To complete the course, the student is required to (all three requirements must be completed to pass the course): a) Execute the project work (20% of the final grade) b) Execute the weekly exercises (1 per exercises lesson, 40% of the final grade) c) Do the final exam (40% of the final grade)
Completion parts must belong to the same implementation

Learning Outcomes

After completing the course, the student will be able to create mathematical models of cellular systems, both deterministic and stochastic, implement them, and solve them by analytical or numerical methods. Systems include simple processes, signal transduction, and gene expression. Moreover, the student will learn how to choose appropriately between deterministic and stochastic methods. After the course, the student will have the necessary skills in using the MATLAB environment in modeling of dynamical processes.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Deterministic modeling of chemical reactions  Numerical simulation of deterministic models of chemical reactions   
2. Stochastic modeling of chemical reactions  Numerical simulation of stochastic models of chemical reactions   
3. Reaction-diffusion modeling  Deterministic and stochastic solutions.   
4. Deterministic and stochastic modeling of neurons  Deterministic and stochastic solutions   

Instructions for students on how to achieve the learning outcomes

To complete the course, the student is required to (all three requirements must be completed to pass the course): a) Execute the project work (20% of the final grade) b) Execute the weekly exercises (1 per exercises lesson, 40% of the final grade) c) Do the final exam (40% of the final grade)

Assessment scale:

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

Partial passing:

Completion parts must belong to the same implementation

Additional information about prerequisites
1) Advisable basic knowledge of calculus. 2) Advisable knowledge of Differential equations.

Prerequisite relations (Requires logging in to POP)



Correspondence of content

Course Corresponds course  Description 
SGN-53006 Computational Modeling in Biomedical Problems, 5 cr SGN-6186 Mathematical Modeling of Cellular Systems, 5 cr  
SGN-53006 Computational Modeling in Biomedical Problems, 5 cr SGN-53007 Computational Diagnostics, 5 cr  

More precise information per implementation

Implementation Description Methods of instruction Implementation
SGN-53006 2014-01 This course presents methods and modeling strategies of biological systems, focusing on the modeling and simulation of chemical processes in cells using differential equations and numerical methods. After completing the course, the student will be able to create mathematical models of cellular systems, both deterministic and stochastic, implement them, and solve them by analytical or numerical methods. Systems include simple processes, signal transduction, and gene expression. Moreover, the student will learn how to choose appropriately between deterministic and stochastic methods. After the course, the student will have gained multiple skills in using the MATLAB environment in modeling of dynamical processes.        

Last modified04.07.2014