1. komponenta

Lecture type	Total
Lectures	60

* Load is given in academic hour (1 academic hour = 45 minutes)

COURSE OBJECTIVES:
The main objective of the course is to introduce to students the application of mathematics, statistics and computational science in quantitative biology.

COURSE CONTENT:
1. Population and quantitative genetics - Heritability and its applications,
2. Molecular evolution - Molecular phylogenetics methods and their applications,
3. Tumours, Communication of tumour and tumour microenvironment, Correlation studies, Model making,
4. Ecotoxicology - Anthropogenic compounds in aquatic ecosystems: quantitative assessment of negative impacts,
5. Computational biology - Next generation sequencing and metagenomics,
6. Biophysics - Models in biophysics of cell division,
7. Ecology - Vegetation science and spatial data,
8. Biodiversity - Classification systems, numerical taxonomy and phenetic approach,
9. Evolutionary genomics - Introduction to phylostratigraphy and its applications.

1. Latest papers in the high-profile journals that cover specific topics in the syllabus.
2. The origins of genome architecture, Lynch, M., Sinauer Associates, 2007.
3. Introduction to quantitative genetics, Falconer, D. S. & Mackay, T. F. C, Pearson, Prentice Hall, 2009.
4. Quantitative Biology Theory, Computational Methods, and Models Edited by Brian Munsky, William S. Hlavacek and Lev S. Tsimring, 2018.
5. Numerical taxonomy. The principles and practice of numerical classification, Sneath, P. H., & Sokal, R. R., Springer, 1973.
6. Biometry: the principles and practice of statistics in biological research, Rohlf, F. J., & Sokal, R. R., New York: Freeman, 1981.
7. Numerical ecology, Legendre, P., & Legendre, L. F., Elsevier, 2012.
8. Spatial analysis: a guide for ecologists, Dale, M. R., & Fortin, M. J., Cambridge University Press, 2014.

Enrollment :
Attended : Biology 1

Examination :
Passed : Biology 1

Mandatory course - Regular study - Biomedical Mathematics