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Teaching experience

Tutorials / Workshops

2021.06.29: Tutorial “Vers l’apprentissage automatique causal” / “Towards Causal Machine Learning” at PFIA’21

2020.12.23: 2 hours lecture “Causal Inference & Causal Learning” for Master students of Applied Mathematics Department at National Technical University of Ukraine “Igor Sikorsky KPI”. Check here for slides and other resources.

2020.06.11: Webinar “Conformal learning” for Computer Science Department of UCU. Check here for the YouTube video in Ukrainian.

Summer/winter schools

2021.07: Long course (8 hours, 4 lectures) “Recommender Systems: the Fundamentals” at 6th Lviv Data Science Summer School 2021.

2020.07: Short course (4 hours, 2 lectures) “Fundamentals of Causal Learning” at 5th Lviv Data Science Summer School 2020.

Master thesis supervision

Pali Emiliana “The impact of nonconformity functions on the efficiency of Conformal Regression”, University of Luxembourg. Defended in February 2022.

Almyaly Zainalabden “Designing nonconformity functions for conformal classifiers”, University of Luxembourg. Defended in February 2022.

Kap Benjamin “Analysis of the effect of noise in causal learning”, University of Luxembourg. Defended in August 2021. Thesis text.

Nima Jehan Mothafar “Impact of model-agnostic nonconformity functions on performance of conformal predictors”, University of Luxembourg. Defended in January 2021.

Courses

University of Luxembourg

Course “Introduction to Machine Learning Methods and Data Mining” for Master of Data Science, 2d semester. Course prepared together with POLTAVSKYI Igor and TKATCHENKO Alexandre. Taught in spring 2022.

Course “Fundamentals of causal learning” for Master in Information and Computer Sciences, 3d semester. Check here for a short video presentation of the course. Taught in fall 2020, 2021.

Course “Computational Science 2” for Bachelor in Computer Science, 6th semester. Check here for a detailed description of the course. Taught in spring 2020, 2021.

University of Lorraine

2016.09 – 2017.08: Teaching assistant, 200 hours of teaching. Courses taught: Introduction to programming (Java), Data Structures, Object-oriented programming (Java), Programming and Administration of Databases (Oracle PL/SQL), Databases and applications (MySQL, PHP).

National Technical University of Ukraine “Igor Sikorsky KPI”

Spring 2013: teaching assistant for the course “Quantum computing”.