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Arkistoitu opetussuunnitelma 2008–2009
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
BIOI4290 Tools for intelligent data analysis 4 op
Organised by
Bioinformatics
Person in charge
Pentti Riikonen
Planned organizing times
Period(s) I II III IV
2008–2009 X

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, Gibss 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, written 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

Lääketieteellisen teknologian instituutti
Bioinformatiikan pääaineopinnot (Bioinformatiikka)
2008–2009
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Period I Period II Period III Period IV
BIOI4290 Tools for intelligent data analysis
Lääketieteellisen teknologian instituutti