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Arkistoitu opetussuunnitelma 2012–2013
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BIO2290 Mathematics for Bioinformatics 3 op
Organised by
Master's Degree Programme in Bioinformatics
Person in charge
Tapio Salakoski
Preceding studies
Supplementary Mathematics or equivalent.
Corresponding course units in the curriculum
Biolääketieteellisen teknologian yksikkö
Curricula 2011 – 2012


Strategic themes: Internationalisation

Learning outcomes

Mastering basics of probability theory (probability, probability axioms, conditional probability, probability density function, cumulative distribution function, expectation, variance, discrete random variable, continuous random variable). Ability to calculate with complex numbers and matrices (also determinant, eigenvalues and eigenvectors), and define extremum values of a given function. Capability to analyze and solve elementary differential equations.


Essential mathematics methods with applications to bioinformatics. The course content includes probability theory, complex numbers, matrices, ordinary differential equations, extremum values.

Teaching methods

Teaching method Contact Online
Lectures 14 h 0 h
Exercises 10 h 0 h

Teaching language


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

Lectures, exercises, participation in classroom work (50% of home exercises must be completed) and Moodle activity (at lest 4 participations at the course discussion forum in Moodle), written exam.


Numeric 1-5.

Study materials

Lecture notes and supplementary books.

Further information

Organization responsible: Department of Information Technology, University of Turku

Belongs to following study modules

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