Elena Kantonistova
- Associate Professor: Faculty of Computer Science / Big Data and Information Retrieval School
- Programme Academic Supervisor: Artificial Intelligence
- Elena Kantonistova has been at HSE University since 2017.
Education and Degrees
Lomonosov Moscow State University
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Awards and Accomplishments
Best Teacher — 2023–2024
Best Academic Supervisor in the category ‘Student Recruitment’ — 2023–2024
Best Academic Supervisor in the category ‘Student Digital Skills’ — 2024
Courses (2024/2025)
- Applied Data Analysis Problems (Minor)Rus
- Foundations of Machine Learning (Minor)Rus
- Introduction to Deep Learning (Minor)Rus
- Mentor's Seminar (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1-3 module)Rus
- Mentor's Seminar (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1-4 module)Rus
- Preparation for Data Scientist and Machine Learning Engineer Interview (Mago-Lego; 3 module)Rus
- Reaserch Seminar "Additional Machine Learning Chapters" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1 module)Rus
- Research Seminar "Machine Learning" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 2, 3 module)Rus
- Past Courses
Courses (2023/2024)
- Applied Data Analysis Problems (Minor; Faculty of Computer Science; 3, 4 module)Rus
- Foundations of Machine Learning (Minor; 3, 4 module)Rus
- Mentor's Seminar (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1-3 module)Rus
- Mentor's Seminar (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1-4 module)Rus
- Preparation for Data Scientist and Machine Learning Engineer Interview (Mago-Lego; 3 module)Rus
- Seminar "Additional Machine Learning Chapters" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1 module)Rus
Courses (2022/2023)
- Applied Data Analysis Problems (Minor; Faculty of Computer Science; 3, 4 module)Rus
- Foundations of Machine Learning (Minor; Faculty of Computer Science; 3, 4 module)Rus
- Interview preparation for Data Scientist and Machine Learning Engineer positions (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 2 module)Rus
- Interview preparation for Data Scientist and Machine Learning Engineer positions (Mago-Lego; 2 module)Rus
- Introduction to Deep Learning (Minor; Faculty of Computer Science; 1, 2 module)Rus
- Key Seminar: Machine Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 2, 3 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 4 year, 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1, 2 module)Rus
- Machine Learning (Optional course (faculty); 3, 4 module)Rus
- Mathematics for Data Analysis (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Rus
- Mathematics for Data Analysis (Mago-Lego; 1, 2 module)Rus
- Mentor's Seminar (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1-4 module)Rus
- Project Seminar "Collection and processing of Big Data" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 2 year, 3 module)Rus
- Research Seminar "Applied problems of data analysis" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1 module)Rus
Courses (2021/2022)
- Applied Statistical Data Analysis (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 4 module)Rus
- Calculus 2 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 2 year, 1-4 module)Rus
- Introduction to Deep Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1-3 module)Eng
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 3 year, 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Economics; 4 year, 1, 2 module)Rus
Courses (2020/2021)
- Applied Data Analysis Problems (Minor; Faculty of Computer Science; 3, 4 module)Rus
- Data Analysis and Visualization (Bachelor’s programme; School of Foreign Languages field of study Linguistics; 2 year, 1, 2 module)Rus
- Introduction to Data Analysis (Minor; Faculty of Computer Science; 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, 1-3 module)Eng
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 4 year, 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences field of study Economics; 3 year, 1, 2 module)Rus
‘Many Want to Create AI-Based Products and Become More Competitive’
In 2024, the online Russian-taught master’s programme ‘Artificial Intelligence,’ offered by the HSE Faculty of Computer Science, saw a record number of first-year students—over 300. What accounts for such a high interest in AI, how the curriculum is structured, and what new skills will graduates acquire? Elena Kantonistova, the programme’s academic director, shares more.
HSE University and Yandex Education Release Free Online Handbook in Math and Data Analysis
Experts from the HSE Continuing Education Centre, the Master's Programme 'Artificial Intelligence', and Yandex Education have developed and published a free math handbook in data analysis (in Russian). This is the seventh online publication in a series of digital self-study textbooks dedicated to specific IT areas.
HSE University and Yandex to Host International AI Olympiad for Students
The HSE Faculty of Computer Science and Yandex Education are launching their first joint AI competition, Artificial Intelligence and Data Analysis Olympiad (AIDAO), for students from around the world. Participants will tackle challenging tasks in science and industry and interact with experts from HSE and Yandex. The winners will receive cash prizes.
HSE University Faculty of Computer Science Holds Meetup on Data Science in Yerevan
In late April, the HSE University Faculty of Computer Science organised its first data science meetup in the capital of Armenia together with the Russian-Armenian University (RAU). The event featured speakers from HSE University, Yandex, and SberDevices. The meeting featured the participation of students from Yerevan universities who have recently become acquainted with data science, as well as specialists in the field.