Teaching

Selected academic courses

eXplainable Machine Learning [2022/2023] [2023/2024]
MSc seminar ,,Machine Learning’’ [2017/2018] [2018/2019] [2019/2020] [2020/2021] [2021/2022] [2022/2023] [2023/2024]
Projekt Zesopłowy; Team Project [2017/2018] [2018/2019]
Techniki Wizualizacji Danych ; Data Visualisation Techniques [2014/2015] [2016/2017] [2018/2019]
Seminarium dyplomowe Machine Learning [2017/2018] [2018/2019]
Programowanie i analiza danych w R dla Zaawansowanych; Advanced Programming and Data Analysis with R. [2017/2018]
Warsztaty Badawcze; Case studies. [2017/2018]
Programowanie i Wizualizacja z R; R, Data Visualisation, Programming. [2017/2018] [2016/2017]
Techniki Wizualizacji Danych ; Data Visualisation Techniques [2017/2018]
Modele liniowe i mieszane; Linear models with fixed and random effects. [2015/2016] [2016/2017]
Warsztaty Badawcze; Case studies. [2015/2016] [2016/2017]
Statistics II; Exploration, Prediction and Verification. [2015/2016] [2016/2017]
Data products; How to build data tools with R. [2015/2016]
R i Duże Dane / R and Big Data; Shiny, opencpu, HPC, spark, R packages, code profiling, web scrapping, databases. [2014/2015] [2015/2016]

DALEX R package: DALEX. Descriptive Model Agnostic EXplanations.
archivist R package: archivist. Tools for Storing, Restoring and Searching for R Objects.
bgmm R package: bgmm. Gaussian Mixture Modeling algorithms. Including the belief-based mixture modeling.
intsvy R package: intsvy. International Assessment Data Manager.
ddst R package: ddst. Data driven smooth tests.
PBImisc R package: PBImisc. Tools and datasets from ,,Modele liniowe i mieszane w R, wraz z przykladami w analizie danych’’
PIAAC Dataset from Programme for the International Assessment of Adult Competencies OECD study in R format.
PISA2012, PISA2009, PISA2006, PISA2003, PISA2000 Datasets from PISA OECD studies in R format.