Skip to end of metadata
Go to start of metadata

Biomathematics / mathematical modelling Curriculum

We teach biomathematics and mathematical modelling via applications in biomathematics. The best entry point is either the course "Mathematical modelling" or "Introduction to mathematical biology", both offered in the fall semester but in alternate years. However, each biomathematics course can be taken also independently of the others (the course descriptions specify the prior mathematical knowledge assumed).

Most of our courses assume some knowledge of ordinary differential equations. If you are interested in applied mathematics in general or in biomathematics in particular, we recommend that you take a course on differential equations during your BSc studies. We also encourage learning numerical methods and acquiring basic skills in computer programming.

All courses are in English.

Why study modelling and biomathematics? Why employ biomathematicians?

Note that our courses are part of two MSc programs, Mathematics and Statistics (MAST) and Life Science Informatics (LSI). All of our regular courses can be taken as part of the Mathematical modelling specialization of MAST as well as the Biomathematics study track of LSI, irrespective of whether the course has a course code in MAST or in LSI.

Regular courses

These courses are given regularly in a 2-year cycle. 

Other courses for students of biomathematics (LSI) / mathematical modelling (MAST)

For students of biology

These courses are given in Viikki and targeted to students of biology with no background in mathematics. These courses are therefore not intended for students of LSI and MAST.

  • Speciation theory (Eva Kisdi; Fall 2008, Fall 2010, Fall 2012, Fall 2014, Fall 2018)
  • Mathematical methods in biology Parts 1, 2, 3, 4 (link to a former page with overview of all parts) (Eva Kisdi; full academic years 2005-2006, 2007-2008, 2009-2010, 2011-2012, 2013-2014, 2015-2016, 2017-2018, 2019-2020)

Past courses

Regular courses given in the past

This list is for our records.

Book-reading seminars

  • Sean H. Rice (2004): Evolutionary Theory (Spring 2006, in English)
  • Mathematical population genetics (Stefan Geritz / Mats Gyllenberg; Spring 2005, in English)
  • No labels