Osaamistavoitteet
Mastering basics of probability theory (probability, probability axioms, conditional probability, probability density function, cumulative distribution function, expectation, variance, discrete random variable, continuous random variable). Ability to calculate with complex numbers and matrices (also determinant, eigenvalues and eigenvectors), and define extremum values of a given function. Capability to analyze and solve elementary differential equations.
Sisältö
Essential mathematics methods with applications to bioinformatics. The course content includes probability theory, complex numbers, matrices, ordinary differential equations, extremum values.
Toteutustavat
| Opetustapa | Paikalla | Verkossa |
| Luento-opetus | 14 t | 0 t |
| Harjoitukset | 10 t | 0 t |
Opetuskieli
englantiVaadittavat opintosuoritukset
Lectures, exercises, participation in classroom work (50% of home exercises must be completed) and Moodle activity (at lest 4 participations at the course discussion forum in Moodle), written exam.
Arviointi
Numerolla 1-5.Suositellut suoritusajankohdat
1. vuoden syksyKirjallisuus/Oppimateriaali
Lecture notes and supplementary books.
Lisätietoja
Organization responsible: Turku DIT
