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Korney Tomashchuk
- Korney Tomashchuk has been at HSE University since 2020.
Education
2024
Master's
HSE University
2022
Bachelor's
HSE University
Awards and Accomplishments
Postgraduate Studies
1st year of study
Approved topic of thesis: Control of bifurcations as an approach to machine learning problems
Academic Supervisor:
Vasilii GromovCourses (2024/2025)
- Calculus 2 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 1, 2 module)Eng
- Differential Equations (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 3, 4 module)Eng
- How to Examine and Predict Time Series: Methods and Applications (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
- How to Examine and Predict Time Series: Methods and Applications (Mago-Lego; 1, 2 module)Rus
- Introduction to Deep Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 2, 3 module)Eng
- Introduction to Deep Learning (Bachelor field of study Applied Mathematics and Information Science, Psychology, Public Administration, Sociology, Political Science; 3 year, 2, 3 module)Eng
- Machine Learning 1 (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, Economics; 3 year, 1, 2 module)Rus
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1, 2 module)Rus
- Machine Learning 1 (Bachelor’s programme; Faculty of Social Sciences field of study Applied Mathematics and Information Science, Psychology, Public Administration, Sociology, Political Science; 3 year, 1, 2 module)Rus
- Machine Learning 1 (Mago-Lego; 1, 2 module)Rus
- Machine Learning 1 (Bachelor field of study Economics; 3 year, 1, 2 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, Economics; 3 year, 3, 4 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Social Sciences field of study Applied Mathematics and Information Science, Psychology, Public Administration, Sociology, Political Science; 3 year, 3, 4 module)Rus
- Machine Learning 2 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Rus
- Methods of Artificial Intelligence in Decision Making (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Eng
- Methods of Artificial Intelligence in Decision Making (Mago-Lego; 3, 4 module)Eng
- Prolegomena to Strong Artificial Intelligence (Bachelor field of study Applied Mathematics and Information Science; 2 year, 3, 4 module)Rus
- Past Courses
