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Arkistoitu opetussuunnitelma 2012–2013
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BIO4290 Tools for Intelligent Data Analysis 4 op
Organised by
Master's Degree Programme in Bioinformatics
Person in charge
Pentti Riikonen
Corresponding course units in the curriculum
Biolääketieteellisen teknologian yksikkö
Curricula 2011 – 2012

Keywords

Strategic themes: Internationalisation

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, 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

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In English

Evaluation

Numeric 1-5.

Study materials

Course material on the Internet.

Further information

Organization responsible: Department of Information Technology, University of Turku

Belongs to following study modules

Biolääketieteellisen teknologian yksikkö
2013–2014
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
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Biolääketieteellisen teknologian yksikkö