В старых версиях браузеров сайт может отображаться некорректно. Для оптимальной работы с сайтом рекомендуем воспользоваться современным браузером.
Regular version of the site
Olga V. Valba
- Olga V. Valba has been at HSE University since 2014.
Education and Degrees
2014
Candidate of Sciences
* (PhD)
Semenov Institute of Chemical Physics of the Russian Academy of Sciences
2010
Master's
Moscow Institute of Physics and Technology
* Candidate of Sciences
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 — 2024, 2019–2022
- Young Faculty Support Programme (Group of Young Academic Professionals)
Category "Future Professoriate" (2017–2018)
Courses (2023/2024)
- Data Analysis and Machine Learning (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 2, 3 module)Rus
- Data Analysis and Machine Learning (Mago-Lego; 2, 3 module)Rus
- Network Modeling (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 2 year, 2, 3 module)Rus
- Network Modeling (Mago-Lego; 2, 3 module)Rus
- Statistical analysis and modeling of complex systems (Optional course (faculty); HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM); 2, 3 module)Rus
Courses (2022/2023)
- Data Analysis and Machine Learning (Mago-Lego; 2, 3 module)Rus
- Data Analysis and Machine Learning (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 2, 3 module)Rus
- Network Modeling (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics, field of study Applied Mathematics, field of study Applied Mathematics; 2 year, 2, 3 module)Rus
- Network Modeling (Mago-Lego; 2, 3 module)Rus
- Statistical analysis and modeling of complex systems (Optional course (faculty); 2, 3 module)Rus
Employment history
Université Paris XI - Paris-Sud (researcher 2010-2013)
