Bachelor degree
- Software for data analysis (Softvér na analýzu údajov, 1.MPM)
- updated textbook: Úvod do analýzy údajov pomocou R
- reviewed publication: Bacigál, T. (2022) Úvod do analýzy údajov pomocou R. Spektrum STU. ISBN 978-80-227-5198-8 - web, pdf
- outline: intro to R; exploratory data analysis; transformation, cleaning and visualization with tidyverse; publishing with quarto; effective programming - coding style, C++, parallelization, database; statistical modelling; intro to Python
- Time series analysis (Analýza časových radov, 3.MPM)
- lecture notes: Analýza časových radov
- outline: decomposition to trend, seasonal, periodic and residual components; integrated stochastic processes; exponential smoothing; regime-switching models
Master degree
- Advanced methods of statistical modelling (Pokročilé metódy štatistického modelovania, 4.MPM)
- lecture notes: Pokročilé metódy štatistického modelovania
- outline: supervised and unsupervised statistical learning; regression and classification task; linear models and non-linear extensions; resampling methods; variables selection; modelling joint probability distribution; principal component analysis and clustering
- Data mining and machine learning (Hĺbková analýza údajov a strojové učenie, 5.MPM)
- outline: decission trees and ensemble techniques; support vector machines; fuzzy sets, logic and rule-based expert systems; (text mining; association and social network analysis; artificial neural networks; tidy models in R)
PhD degree
- Statistical methods of experiment evaluation
- subject: Teoretické princípy informatických vied - Štatistické metódy vyhodnocovania experimentov (FIIT STU)
- subject: Vybrané state z matematiky 2 (SvF STU)
- lecture notes: Elementary statistical methods
- outline: random variable and probability distribution; descriptive statistics and estimation; test of statistical hypothesis; statistical model of quantitative / qualitative variable