University 
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Research
Current teaching
        -  Winter semester 
 
        
           -  Matrix algebra for statisticians (lectures, recitations) 
 
           -  Principles of Data Science (lectures) 
 
	   -  Regression models (lectures, recitations) 
 
         
        -  Summer semester 
 
        
           -  Dimensionality reduction techniques (lectures) 
 
           -  Optimization and computational methods (lectures) 
 
         
        - Information for students (in Slovak language) 
 
 
Teaching history
        -  Principles of Data Science (lectures)  
 
        -  Dimensionality reduction techniques (lectures) 
 
	-  Regression models (lectures, recitations) 
 
        -  Econometrics (recitations) 
 
	- Matrix algebra for statisticians (lectures, recitations) 
 
	- Mathematical statistics (lectures) 
 
	- Probability and Statistics (1) (recitations) 
 
	- Probability and Statistics (2) (recitations) 
 
 	- Microeconomics (recitations) 
 
 
 
Master's Thesis Supervision 
        -  Adam Furdek (2024/2025+): Multidimensional scaling for big data 
 
        -  Jana Maľová: Group-greedy method for optimal design of experiments (2025) 
 
        -  Simona Stančíková: Optimization methods for optimal design of experiments (2025) 
 
        -  Peter Pempek: Generalized linear models (2024) 
 
        -  Lucia Kotúľová: Statistics in the time of covid (2024) 
 
        -  Marián Badár: Supersaturated designs (2023) 
 
        -  Jakub Poljovka: Tests in linear regression after model selection (2023) 
 
        -  Rebecca Balheim: Effect of heteroscedasticity on optimal treatment weights (2022) 
 
        -  Thu Nguyen: Information criteria (2022) 
 
        -  Barbora Smiešková: Correlation between high-dimensional data (2020) 
 
        -  Romana Szabová: Condition number and optimal designs of experiments (2020) 
 
        -  Lucia Hurajová: Analysis of patient satisfaction questionnaires (2019) 
 
 
Bachelor's Thesis Supervision 
        -  Matúš Balogh (2022/2023+): Matrix computations in practice 
 
        -  Tomáš Antal: Comparison of subsampling methods (2025) 
 
        -  Timotej Braniša: Limits of neural networks (2025) 
 
        -  Matej Šembera: Machine learning for stock index predictions (2024) 
 
        -  David Belobrad: Condition number of a matrix (2024) 
 
        -  Sebastian Fister: The assumption of normality in linear regression (2023) 
 
        -  Peter Pempek: Subsampling methods (2022) 
 
        -  Lenka Košútová: Statistical paradoxes (2022) 
 
        -  Marián Badár: Variable selection in linear regression and quality of tests (2021) 
 
        -  Rebecca Balheim: Biased methods for linear regression (2020) 
 
        -  Ján Veselý: Laplace probability distribution (2019) 
 
        -  Romana Szabová: Confidence intervals for opinion polls (2018) 
 
        -  Lucia Hurajová: Patient satisfaction questionnaires (2017) 
 
        -  Michal Piatra: Time series of interest rates (2016) 
 
        -  Adam Jakubička: Quantile regression (2016) 
 
 
  
Contact
	- Address:
	    
     Department of Applied Mathematics and Statistics
	         Faculty of Mathematics, Physics and Informatics
	         Comenius University
	         Mlynská dolina
	         842 48 Bratislava 4
	         Slovak Republic
	 
	- Office: M 240
	
 
	- E-mail: samuel.rosa@fmph.uniba.sk
	
 
 
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