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Arkistoitu opetussuunnitelma 2012–2013
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
BIO4340 Text Mining in the Biomedical Domain 3 op
Organised by
Master's Degree Programme in Bioinformatics
Person in charge
Tapio Salakoski
Corresponding course units in the curriculum
Biolääketieteellisen teknologian yksikkö
Curricula 2011 – 2012

Keywords

Strategic themes: Internationalisation

Learning outcomes

The course reviews common applications of text mining methods in the biomedical domain from a user perspective. The objective is to become acquainted with this relatively new research area within bioinformatics.

Contents

Literature and ontology resources, text retrieval, information extraction, adaptation of text mining to the biomedical domain.

Teaching methods

Teaching method Contact Online
Lectures 2 h 0 h
Independent work 40 h 0 h

Self-study based course with moderated discussion on Moodle.

Teaching language

English

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Oral exam 
In English

Examination type dependent on student's activity during the course.

Evaluation

Pass/fail.

Study materials

Ananiadou, Sophia - McNaught, John: Text mining for biology and biomedicine, 2005, ISBN: 978-1580539845

Further information

Organization responsible: Department of Information Technology, University of Turku

Belongs to following study modules

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