Course Catalog 2008-2009 Basic Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Course´s person responsible

Harri Lähdesmäki, Reija Autio

Implementations

	Lecture times and places	Target group recommended to
Implementation 1	Per 5 : Wednesday 10 - 12, TB222

Requirements

Participation in the exercises, final examination and an assignment.

Principles and baselines related to teaching and learning

-

Objectives

In this course, student will learn many preprocessing, normalization and analysis methods for data mining of large scale data. The methods are used for analyzing DNA microarray data, but applicable to other types of large scale data as well. Student will learn the basics of microarray technology with several data mining options. This course provides the basic knowledge of computational methods used insystems biology.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	DNA Microarray experiments
2.	Statistical methods for large scale data analysis
3.	Design and analysis of microarray experiments
4.	Data classification and clustering

Evaluation criteria for the course

Exam, exercises and assignment.

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	DNA Microarray Data Analysis	Tuimala and Laine					English
Lecture slides	Lecture slides and additional material (to be specified later)						English

Prerequisites

Additional information

http://www.cs.tut.fi/courses/SGN-6156/

More precise information per implementation

	Description	Methods of instruction	Implementation
Implementation 1			Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 %

Last modified	17.03.2009
Modifier	Reija Autio