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Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
BIO2310 Mathematics and statistics for bioinformatics 4–8 ECTS
Organised by
Master's Degree Programme in Bioinformatics
Corresponding course units in the curriculum
Curricula 2015 – 2017

Learning outcomes

After the course the student can:
- perform simple calculations of university-level mathematics on the course topics on pen and paper.
- explain some main principles of statistical testing and estimation.
- apply basic statistical testing and estimation in specific cases, selecting the methods according to the requirements set by data.
- use the R environment as a simple calculator and a visualization tool for basic presentation of functions and data.
- use the R environment to perform basic statistical testing and estimation, simulate data from simple probabilistic models and calculate and analyze estimates from data.


- Calculus
- Linear algebra
- Probability
- Basic probability and statistical models
- Estimators, maximum likelihood
- Hypothesis testing (t-test, U-test, Fisher’s exact test, permutation testing)
- Required components and the resulting number of credit units are assigned in accordance with the personal study plan

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


Numeric 1-5.

Belongs to following study modules

Faculty of Medicine and Life Sciences
Faculty of Medicine and Life Sciences
Archived Teaching Schedule. Please refer to current Teaching Shedule.
For Open University students only
Faculty of Medicine and Life Sciences