Descriptive statistics: Collecting–presenting–processing biological data. Measures of central tendency–dispersion–shape. Elements of probability. Theoretical distributions (Bernoulli, binomial, Poisson, hypergeometric, normal, standard normal, χ^2, t, F). Applied statistics: Parameter estimation (point estimation, confidence interval estimation). Hypothesis testing (tests of equality of means, equality of variances, goodness of fit, independence χ^2, correlation, randomness, homogeneity). Analysis of variance. Regression.

Measurements on felled trees, standing trees and forest products. Estimates of diameter, basal area, height, shape, volume, biomass, age and wood quality of trees and stands. Site quality. Yield tables.

Factors affecting the aboveground–belowground growth of the tree–the stand, estimation of tree–stand age, stem analysis, absolute–percentage growth of tree–stand, site quality, yield tables.

Simple random sampling, stratified random sampling, systematic sampling, unequal probability sampling, multistage sampling, multiphase sampling, consecutive sampling, other sampling methods.

- Statistical analysis of bioclimatic variables – hypothesis testing.
- Regional Climate Models–RCSs).
- Climate simulation (climate forecasting).
- Forests as carbon sinks. Carbon sequestration in forest ecosystems as a factor in mitigating the effects of climate change.

In the summer after the end of the 6th semester, our students do a traineeship in the courses "Forest Biometry" and "Sampling", in our "Privately Owned Facilities for Traineeship in Elatia, Drama".