Borevskiy Andrey
- Borevskiy Andrey has been at HSE University since 2023.
Education
2023
Bachelor'sHSE University
Awards and Accomplishments
- Best Teacher — 2025
- Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Lecturers" (2024–2025)
Category "New Researchers" (2023)
Courses (2025/2026)
- Deep Learning Methods in Natural Sciences (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Rus
- Deep Learning and Neural Networks (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Rus
- Deep Learning and Neural Networks (Mago-Lego; Faculty of Computer Science; 1, 2 module)Rus
- Introduction to Python for Data Science (Mago-Lego; Faculty of Computer Science; 1 module)Rus
- Introduction to Python for Data Science (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1 module)Rus
- Machine Learning (Mago-Lego; Faculty of Computer Science; 3, 4 module)Rus
- Python Programming (Mago-Lego; Faculty of Computer Science; 1 module)Rus
- Python Programming (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1 module)Rus
- Research Seminar "Data Analysis and Artificial Intelligence" (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1-4 module)Eng
- Past Courses
Courses (2024/2025)
- Algorithms and Data Structures (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 1-4 module)Eng
- Deep Learning Methods in Natural Sciences (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, Economics; 3 year, 3, 4 module)Rus
- Deep Learning Methods in Natural Sciences (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Rus
- Machine Learning (Mago-Lego; 3, 4 module)Rus
- Machine Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Rus
- Python Programming (Mago-Lego; 1 module)Rus
- Research Seminar "Data Analysis and Artificial Intelligence" (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1-4 module)Eng
Courses (2023/2024)
- Algorithms and Data Structures (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 1-4 module)Eng
- Complex Systems Theory (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science, field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus
- Deep Learning Methods in Natural Sciences (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 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
- Research Seminar "Data Analysis and Artificial Intelligence" (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1-4 module)Eng
Conferences
- 2024
5th International Conference on Computer Vision and Computational Intelligence (Бангкок). Presentation: CLEVR-BT-DB: A Benchmark Dataset to Evaluate the Reasoning Abilities of Deep Neural Models in Visual Question Answering Problems