After the course the student can: - perform simple calculations of university-level mathematics on the course topics on pen and paper. - explain some main principles of statistical testing and estimation. - apply basic statistical testing and estimation in specific cases, selecting the methods according to the requirements set by data. - use the R environment as a simple calculator and a visualization tool for basic presentation of functions and data. - use the R environment to perform basic statistical testing and estimation, simulate data from simple probabilistic models and calculate and analyze estimates from data.
Contents
- Calculus - Linear algebra - Probability - Basic probability and statistical models - Estimators, maximum likelihood - Hypothesis testing (t-test, U-test, Fisher’s exact test, permutation testing) - Required components and the resulting number of credit units are assigned in accordance with the personal study plan