Korney Tomashchuk
- Lecturer: Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Junior Research Fellow: Faculty of Computer Science / International Laboratory for Intelligent Systems and Structural Analysis
- Korney Tomashchuk has been at HSE University since 2020.
Education
2024
Master'sHSE University
2022
Bachelor'sHSE University
Awards and Accomplishments
Bonus for young teachers of the Faculty of Computer Science from among graduates (2024-2025)
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2022)
Courses (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
Courses (2023/2024)
- 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
- Modern Methods of Decision Making (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Eng
- Modern Methods of Decision Making (Mago-Lego; 3, 4 module)Eng
Courses (2022/2023)
- Calculus 2 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 1, 2 module)Eng