Course Catalog 2011-2012
International

Basic Pori International Postgraduate Open University

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Course Catalog 2011-2012

SGN-6106 Computational Systems Biology, 5 cr

Additional information

Suitable for postgraduate studies

Person responsible

Olli Yli-Harja, Juha Kesseli

Lessons

Study type P1 P2 P3 P4 Summer Implementations Lecture times and places
Lectures
Excercises
Assignment



 



 
 4 h/week
 2 h/week
 22 h/per



 



 
SGN-6106 2011-01 Monday 14 - 16, TB223
Tuesday 14 - 16, TB223

Requirements

Participation in the exercises, an essay, and a learning diary. The learning diary can be replaced by a final examination.

Principles and baselines related to teaching and learning

-

Learning outcomes

The student will be able to define what is computational systems biology and which subareas it covers. The student can list basic computational methods used in systems biology and use specific ready-made computational tools. The student is able to produce a summary of one of the current research topics in the field of computational systems biology.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Different types of models in systems biology (e.g. deterministic and stochastic models for cellular processes).     
2. Mathematical and computational methods in sequence analysis and genomic expression analysis.     
3. Possibilities of signal processing in systems biology.     
4. Measurement techniques and effects of measurement systems in data acquisition.     

Evaluation criteria for the course

Points obtained from the requirements (exercises 20%, essay 40%, learning diary / examination 40%).

Assessment scale:

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

Additional information about prerequisites
The course exercises are mainly based on Matlab and R programming. Previous knowledge on those is helpful but it is not a requirement.

Prerequisite relations (Requires logging in to POP)

Correspondence of content

There is no equivalence with any other courses

More precise information per implementation

Implementation Description Methods of instruction Implementation
SGN-6106 2011-01 The course gives an overview to different sub-areas of computational systems biology. The course presents basic computational methods and their applications in large-scale data pre-processing and analysis, biological sequence analysis, simulation methods for cellular processes, image processing for systems biology, etc.        

Last modified25.01.2012