1. komponenta

Lecture type	Total
Lectures	30
Exercises	30

1) Vectors in three-dimensional space and corresponding operations.
2-3) Notion of matrix; adding and multiplying matrices. Determinants.
4-5) Systems of linear equations. Elementary transformations. Gauss elimination method.
6-7) The rank of a matrix; matrix inverse.
8) Linear regression analysis by the least squares method.
9) Eigenvalues and eigenvectors.
10) Leslie model of the population growth.
11) Ordinary differential equations. Motivation.
12) Linear ordinary differential equation of the first order.
13) Autonomous equations. Modeling of the population growth.
14) Basic types of differential equations.
15) Solving methods of linear ordinary differential equation of higher order with constant coefficients.

1. Matematička analiza 1, S. Kurepa, Školska knjiga, 1975.
2. Uvod u matematiku, S. Kurepa, Tehnička knjiga, 1984.
3. Zadaci i riješeni primjeri iz više matematike, B. P. Demidovič, Tehnička knjiga, 1978.
4. Schaum's Outline of Linear Algebra, S. Lipschutz, M. Lipson, McGraw-Hill, 2001.
5. Linearna algebra, N. Elezović, Element, 1995.
6. Introduction to Linear Algebra in Geology, J. Ferguson, Springer Verlag, 1994.
7. Linearna algebra i primjene, D. Bakić, Školska knjiga, 2021.
8. Obične diferencijalne jednadžbe, M. Alić, PMF - Matematički odjel, 2001.
9. Elementary differential equations, New York, Wiley & Sons, W. E. Boyce, R. C. DiPrima, Wiley & Sons, 2004.

Mandatory course - Regular study - Biology and Chemistry Education