Learning outcomes

Ability to form mathematical modelling using differential equations, explain the models and analyse them qualitatively. Capability to analyse different kinds of functions and specify their type. Ability to derive solution formulas for series of constants and solve this kind of series. Mastering basic numerical methods for interpolation, extrapolation and integration. Ability to formulate linear programming tasks and solve then using graphical methods. Capability to utilize mathematical software for solving and visualizing mathematical problems.

Contents

Advanced math and CS methods with applications to bioinformatics: mathematical modelling using differential equations, qualitative methods for ordinary differential equations, basics of analytical geometry, solving series of constants, numerical methods for interpolation, extrapolation and integration, linear programming, mathematical software.

Teaching methods

Teaching method	Contact	Online
Lectures	14 h	0 h
Exercises	10 h	0 h

Teaching language

English

Evaluation

Numeric 1-5.

Recommended year of study

1. year spring

Study materials

Lecture notes.

Further information

Organization responsible: Turku DIT

Belongs to following study modules