Yury Sanochkin
- Senior Lecturer:Faculty of Computer Science / Big Data and Information Retrieval School
- Research Fellow:Faculty of Computer Science / Big Data and Information Retrieval School / Laboratory of Complex Systems Modeling and Control
- Programme Academic Supervisor:Product-Driven Approach and Data Analytics in HR Management
- Yury Sanochkin has been at HSE University since 2018.
Responsibilities
Conducting disciplines in Russian and English. Lecturing, conducting seminars, practical classes, research studies. Carrying out and checking control elements of the disciplines
Management of project activities of students
Courses (2023/2024)
- Advanced Programming and Data Analysis (Bachelor’s programme; Graduate School of Business; 3 year, 4 module)Eng
- Data Analysis in Python (Bachelor’s programme; Graduate School of Business; 2 year, 3 module)Eng
- Data Mining (Bachelor’s programme; Graduate School of Business; 2 year, 3, 4 module)Rus
- Discrete Mathematics (Bachelor’s programme; Graduate School of Business; 1 year, 1-3 module)Rus
- Machine Learning with Python (Bachelor’s programme; Graduate School of Business; 2 year, 4 module)Eng
- Modern Methods of Data Science and Machine Learning (Bachelor’s programme; Graduate School of Business; 3 year, 3, 4 module)Rus
- Probability Theory (Master’s programme; Faculty of Computer Science; 1 year, 3 module)Eng
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Graduate School of Business; 2 year, 1, 2 module)Rus
- Python Advanced (Master’s programme; Faculty of Computer Science; 1 year, 2 module)Eng
- Python Basic (Master’s programme; Faculty of Computer Science; 1 year, 1 module)Eng
- Research Seminar "Deep Learning" (Master’s programme; Faculty of Computer Science; 2 year, 2 module)Eng
- Past Courses
Courses (2022/2023)
- Advanced Mathematics and Statistics (Bachelor’s programme; Faculty of Creative Industries; 1 year, 1-3 module)Rus
- Analysis and Forecasting of Heterogeneous Time Series (Bachelor’s programme; Graduate School of Business; 4 year, 3 module)Rus
- Analysis and Forecasting of Heterogeneous Time Series (Bachelor’s programme; Graduate School of Business; 2 year, 2 module)Rus
- Discrete Mathematics (Bachelor’s programme; Graduate School of Business; 1 year, 1-3 module)Rus
Probability Theory and Mathematical Statistics (Bachelor’s programme; Graduate School of Business; field of study "38.03.02. Менеджмент", field of study "38.03.02. Менеджмент"; 1 year, 3, 4 module)Rus
Courses (2021/2022)
- Analysis and Forecasting of Heterogeneous Time Series (Bachelor’s programme; Graduate School of Business; 4 year, 3 module)Rus
- Discrete Mathematics (Bachelor’s programme; Graduate School of Business; 1 year, 1-3 module)Rus
- Discrete Mathematics and Theory of Algorithms (Bachelor’s programme; Graduate School of Business; 2 year, 1 module)Rus
- Mathematical modeling of complex systems (Bachelor’s programme; Graduate School of Business; 4 year, 1 module)Rus
- Programming (Bachelor’s programme; Graduate School of Business; 2 year, 3, 4 module)Rus
Publications1
Chapter Dmitriev A., Kazmina A., Dmitriev V., Sanochkin Y., Gradusov E. Detection of Early Warning Signals for Self-organized Criticality in Cellular Automata, in: 14th Chaotic Modeling and Simulation International Conference. Springer, 2022. doi P. 121-133. doi