Nadezhda Kalmykova
- Lecturer: Faculty of Computer Science / Joint Department with Sberbank ‘Financial Technologies and Data Analysis’
- Nadezhda Kalmykova has been at HSE University since 2023.
- Contacts
- Phone:
27334 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S812
- ORCID: 0000-0002-2259-1919
- ResearcherID: I-9553-2016
- Google Scholar
- Supervisor
- A. Masyutin
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Education
2021
Master's in Applied Mathematics and Information ScienceHSE University
2018
Bachelor's in Applied Mathematics and Applied PhysicsMoscow Institute of Physics and Technology
Courses (2024/2025)
- Machine Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Rus
- Machine Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Rus
- Machine Learning (Mago-Lego; 1, 2 module)Rus
- Machine Learning (Mago-Lego; 1, 2 module)Rus
- Past Courses
Courses (2023/2024)
- Applied Data Science (Mago-Lego; 2 module)Eng
- Applied Data Science (Master’s programme; Graduate School of Business field of study Business Informatics; 1 year, 2 module)Eng
- Machine Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Rus
- Machine Learning (Mago-Lego; 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering; 3 year, 3, 4 module)Rus
Courses (2022/2023)
- Applied Data Science (Master’s programme; Graduate School of Business field of study Business Informatics; 1 year, 1 module)Eng
- Applied Data Science (Mago-Lego; 1 module)Eng
- Machine Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Rus
- Machine Learning (Mago-Lego; 1, 2 module)Rus
- Neural Networks and Deep Learning (Mago-Lego; 1, 2 module)Eng
- Neural Networks and Deep Learning (Master’s programme; Graduate School of Business field of study Business Informatics; 2 year, 1, 2 module)Eng
Courses (2021/2022)
- Machine Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Rus