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Archived Curricula Guide 2014–2015
Curricula Guide is archieved. Please refer to current Curricula Guides
BIO2290 Mathematics for Bioinformatics 3 ECTS
Organised by
Master's Degree Programme in Bioinformatics
Person in charge
Tommi Rantapero
Preceding studies
Supplementary Mathematics or equivalent.


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

In the academic year 2014-2015 the course BIO2310 Mathematics and Statistics for Bioinformatics 6 ECTS will replace the courses BIO2290 Mathematics for Bioinformatics 3 ECTS and BIO2270 Introduction to Statistics 3 ECTS.

Belongs to following study modules

Archived Teaching Schedule. Please refer to current Teaching Shedule.