Course Catalog 2009-2010
Basic

Basic Pori International Postgraduate Open University

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Course Catalog 2009-2010

SGN-6206 Genomic Signal Processing, 5 cr

Person responsible

Ioan Tabus

Implementations

  Lecture times and places Target group recommended to
Implementation 1

Periods 3 3 - 0

 
 


Requirements

Assignment and final examination.

Principles and baselines related to teaching and learning

-

Learning outcomes

The student will learn several classes of problems arising in genomics and related bioinformatic fields, where signal processing algorithms have been show to play an important role.

Evaluation criteria for the course

Course is graded on the basis of answers to exam questions. Very good grade is obtained when exam questions are correctly answered and homework is accepted. Course acceptance threshold is approx. half of the maximum exam points.

Assessment scale:

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

Study material

Type Name Author ISBN URL Edition, availability, ... Examination material Language
Book   "Biological sequence analysis: Probabilistic models of proteins and nucleic acids"   R. Durbin, S. Eddy, A.Krogh, G. Mitchison       Cambridge University Press, 2001      English  
Book   "Genomic Signal Processing and Statistics"   Edited by: Edward R. Dougherty, Ilya Shmulevich, Jie Chen, and Z. Jane Wang       http://spc.hindawi.com/gsps.html      English  
Lecture slides   "Genomic Signal Processing"   Ioan Tabus            English  


Prerequisites

Course Mandatory/Advisable Description
SGN-1200 Signaalinkäsittelyn menetelmät Advisable    

Prerequisite relations (Requires logging in to POP)

Correspondence of content

There is no equivalence with any other courses

Additional information

Course will not be lectured in the acedemic year 2009-2010.

More precise information per implementation

  Description Methods of instruction Implementation
Implementation 1 The course is not given in the academic year 2009-2010   Lectures
Excercises
Practical works
   
Contact teaching: 0 %
Distance learning: 0 %
Self-directed learning: 0 %