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
Management of the Master's degree program.
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
Education
2023
Master'sHSE University
2021
Bachelor'sHSE University
Awards and Accomplishments
Best Teacher — 2024
Best Academic Supervisor in the category ‘Student Recruitment’ — 2024
Courses (2024/2025)
- Advanced Programming and Data Analysis (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 3 year, 3, 4 module)Eng
- Applied algorithms and data structures (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 2 year, 3 module)Eng
- Data Analysis in Python (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 2 year, 4 module)Eng
- Data Mining (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 2 year, 3, 4 module)Rus
- Discrete Mathematics (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 1 year, 1-3 module)Rus
- Intro to Programming in Python (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 1 year, 3, 4 module)Rus
- Introduction into Python (Bachelor’s programme; Graduate School of Business field of study Management; 2 year, 3 module)Eng
- Machine Learning (Mago-Lego; 2, 3 module)Rus
- Machine Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 2, 3 module)Rus
- Machine Learning (Mago-Lego; 3, 4 module)Eng
- Machine Learning (Mago-Lego; 3, 4 module)Rus
- Machine Learning (Master field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Eng
- Machine Learning (Master field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Rus
- Mentor's Seminar "Product-Driven Approach and Data Analytics in HR Management" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1-4 module)Rus
- Modern Methods of Data Science and Machine Learning (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 3 year, 3, 4 module)Rus
- Neural Networks and Deep Learning (Mago-Lego; 2, 3 module)Eng
- Neural Networks and Deep Learning (Master field of study Applied Mathematics and Informatics; 2 year, 2, 3 module)Eng
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 2 year, 1, 2 module)Rus
- Reaserch Seminar "Modern Methods of Data Analytics and Visualization" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Rus
- Past Courses
Courses (2023/2024)
- Advanced Programming and Data Analysis (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 3 year, 4 module)Eng
- Analysis and Forecasting of Heterogeneous Time Series (Optional course (faculty); Graduate School of Business; 3 module)Rus
- Data Analysis in Python (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 2 year, 3 module)Eng
- Data Mining (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 2 year, 3, 4 module)Rus
- Discrete Mathematics (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 1 year, 1-3 module)Rus
- Machine Learning with Python (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 2 year, 4 module)Eng
- Modern Methods of Data Science and Machine Learning (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 3 year, 3, 4 module)Rus
- Probability Theory (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3 module)Eng
- Probability Theory (Mago-Lego; 3 module)Eng
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 2 year, 1, 2 module)Rus
- Programming (Optional course (faculty); Graduate School of Business; 3, 4 module)Rus
- Python Advanced (Mago-Lego; 2 module)Eng
- Python Advanced (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 2 module)Eng
- Python Basic (Mago-Lego; 1 module)Eng
- Python Basic (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1 module)Eng
- Research Seminar "Deep Learning" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 2 year, 2 module)Eng
Courses (2022/2023)
- Advanced Mathematics and Statistics (Bachelor’s programme; Faculty of Creative Industries field of study Advertising and Public Relations; 1 year, 1-3 module)Rus
- Analysis and Forecasting of Heterogeneous Time Series (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 4 year, 3 module)Rus
- Analysis and Forecasting of Heterogeneous Time Series (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 2 year, 2 module)Rus
- Discrete Mathematics (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 1 year, 1-3 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Graduate School of Business field of study Management, field of study Management; 1 year, 3, 4 module)Rus
Courses (2021/2022)
- Analysis and Forecasting of Heterogeneous Time Series (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 4 year, 3 module)Rus
- Discrete Mathematics (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 1 year, 1-3 module)Rus
- Discrete Mathematics and Theory of Algorithms (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 2 year, 1 module)Rus
- Mathematical modeling of complex systems (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 4 year, 1 module)Rus
- Programming (Bachelor’s programme; Graduate School of Business field of study Business Informatics; 2 year, 3, 4 module)Rus