Mathematics for biomedical data analysis

5 ECTS credits, Academic Year 2022-2023, 744643S
This free online course teaches the mathematical basics needed to study biomedical data.
The course is meant for everyone who want to apply mathematical methods for analysis of biomedical data.


Enrollment period


Mode of delivery

Web-Based Studies
Independent study

Course study period



0 €

Education information

This course is part of a study module:

Selected mathematical perspectives to introduce topical conversations and developments in the field. Algorithms: A set of simple mathematical concepts is used to classify a wide variety of computational techniques (logistic regression, principal component analysis, kernel methods, random forests, graphical models, deep learning) depending on their learning, versatility and application type, for a non-technical overview of the field. Inference: Covers the major mathematical principles underpinning data-dredging and related pitfalls, such as misinterpretation of P-values and multiple testing problems. Causality: Considers the mathematical basis for the paradigmatic shifts from traditional data analysis to causal analysis. Provoking examples are provided to 1) distinguish causal and non-causal relationships and 2) explain why causal inference is beyond the scope of the mathematical language of classical statistics.

Contents can vary.

Education format

Continuous learning
Continuing training


Academic Year 2022-2023

Field of study

Natural sciences, mathematics and statistics
Medicine, dental and pharmacy



Teaching language


Course organiser

University of Oulu



Maximum participants


Prerequisities and co-requisites

It is recommended that this course is taken after the course “744640S Data mining and data-based models”.

Contact information

More information and contact information

Krista Juurikka,
Last updated: 23.9.2022