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Archived Curricula Guide 2009–2010
Curricula Guide is archieved. Please refer to current Curricula Guides
BIOI4290 Tools for intelligent data analysis 4 ECTS
Organised by
Bioinformatics
Person in charge
Pentti Riikonen
Corresponding course units in the curriculum
Institute of Medical Technology
Curricula 2008 – 2009

Learning outcomes

The course aims at delivering an intuitive understanding of the fundamentals and thus the power and limitations of various methods like Artificial Neural Network. SOM, genetic and evolutionary algorithms, Gibbs sampling, simulated annealing.

Contents

Common algorithmic and AI methods used in data analysis in many fields of research, including but not restricted to bio and medical informatics. Different data analysis methods and applications are included.

Teaching methods

Teaching method Contact Online
Independent work

Independent work, exercises, oral exam.

Teaching language

English

Modes of study

Evaluation

Numeric 1-5.

Recommended year of study

1. year spring

Study materials

Course material on the Internet.

Further information

Organization responsible: Turku DIT

Belongs to following study modules

Institute of Medical Technology
Bioinformatiikan pääaineopinnot (Bioinformatics)
2009–2010
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Period I Period II Period III Period IV
BIOI4290 Tools for intelligent data analysis
Institute of Medical Technology