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 2016–2018
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
BIOI2290 Mathematics for Bioinformatics 4 op
Organised by
Bioinformatics

Learning outcomes

The students understand the basics of probability theory, matrix theory, and differential equations as well as their importance in bioinformatics. The students can 1) explain the essential properties of probability and random variables, 2) characterise matrices and perform basic matrix operations, 3) solve systems of linear equations using matrices, and 4) characterise and graphically analyse ordinary differential equations. The students are able to apply their knowledge to solve simple problems. As an introductory course, the students are not expected to obtain deep theoretical understanding or advanced practical skills.

Contents

The lectures focus on the bio-health domain and cover the topics needed to reach the learning outcomes. The students practise their hands-on skills by solving exercises.

Teaching language

English

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Exercise(s)
  • In English
Written exam
  • In English

Evaluation

Numeric 0-5.

Recommended year of study

1. year autumn

Study materials

Lecture notes and supplementary material.

Belongs to following study modules

Tulevaisuuden teknologioiden laitos
Biokemian laitos
2016–2017
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Tulevaisuuden teknologioiden laitos
MDP in Bioinformatics
MDP in Embedded Computing
MDP in Digital Health and Life Sciences (Tech.)
Opintokokonaisuudet