Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Arkistoitu opetussuunnitelma 2013–2014
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
BIOI2290 Mathematics for Bioinformatics 3 op
Organised by
Person in charge
Tapio Salakoski
Planned organizing times
Period(s) I II III IV
2013–2014 X
Preceding studies
Supplementary Mathematics or equivalent.

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
  • Doctoral Students
  • Exchange Students
Participation in classroom work
  • In English
Written exam
  • In English
Participation in classroom work and Written exam

Participation in classroom work (50% of home exercises must be completed) and Moodle activity (at least 4 participations at the course discussion forum in Moodle).


Numeric 0-5.

Recommended year of study

1. year spring

Study materials

Lecture notes and supplementary books.

Belongs to following study modules

Tulevaisuuden teknologioiden laitos
Tulevaisuuden teknologioiden laitos
Tulevaisuuden teknologioiden laitos
Tulevaisuuden teknologioiden laitos
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Tulevaisuuden teknologioiden laitos