Course Catalog 2009-2010
Basic

Basic Pori International Postgraduate Open University

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Course Catalog 2009-2010

SGN-6166 Introduction to R programming, 3 cr

Person responsible

Tommi Aho, Reija Autio

Implementations

  Lecture times and places Target group recommended to
Implementation 1


Per 2 :
Monday 10 - 12, TC303
Thursday 10 - 12, TC303

 
DI-Opiskelijat
International Students
Jatko-opiskelijat
Kandiopiskelijat  


Requirements

Weekly exercise and an assinment
Completion parts must belong to the same implementation

Learning outcomes

Student will learn basic programming skills with R. In addition, most often used packages provided by Bioconductor will be in use.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Basic programming skills with R      
2. Installation and use of Bioconductor packages      


Evaluation criteria for the course

The final grade comes from the assignment work. The grade is incremented by one if weekly exercises 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
Other online content           Material you may find useful.      English  
Online book   An Introduction to R   W. N. Venables, D. M. Smith and the R development Core Team            English  
Online book   Bioinformatics and Computational Biology Solutions Using R and Bioconductor   Gentleman, Carey, Huber, Irizarry and Dudoit   978-0-387-25146-2          English  


Prerequisites

Course Mandatory/Advisable Description
SGN-6106 Computational Systems Biology Advisable    

Prerequisite relations (Requires logging in to POP)

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 basic programming skills with R. In addition, most often used packages provided by Bioconductor will be in use.   Lectures
Excercises
   
Contact teaching: 30 %
Distance learning: 0 %
Self-directed learning: 70 %  


Last modified30.10.2009
ModifierTommi Aho