Alexander P. Koldanov
- Leading Research Fellow: HSE Campus in Nizhny Novgorod / Laboratory of Algorithms and Technologies for Networks Analysis
- Professor: HSE Campus in Nizhny Novgorod / Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) / Department of Applied Mathematics and Informatics
- Alexander P. Koldanov has been at HSE University since 2013.
- Language Proficiency
- English
- Contacts
- Phone:
+78314606612
6404
+79107904164 - Address: Nizhny Novgorod, 25/12 Bolshaya Pecherskaya Ulitsa, room 301
- SPIN-RSCI: 4497-9738
- ORCID: 0000-0002-4207-6877
- ResearcherID: L-5448-2015
- Scopus AuthorID: 6603418986
- Google Scholar
- Office hours
- 17.00
- Supervisor
- V. A. Kalyagin
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Education, Degrees and Academic Titles
1988
Associate Professor1973
DegreeLobachevskiy Gorky State University
* 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.
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.
* Doctor of Sciences
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.
Awards and Accomplishments
- Best Teacher — 2022–2024, 2018–2019
Courses (2025/2026)
- Stochastic Models (Master field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Rus
- Stochastic Models (Mago-Lego)Rus
- Past Courses
Courses (2024/2025)
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Information Science, Software Engineering, Business Informatics; 2 year, 1-4 module)Rus
- Research Seminar (Postgraduate course field of study Informatics and Computer Engineering)Rus
- Risks and random processes (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus
- Stochastic Models (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Rus
- Stochastic Models (Mago-Lego; 3, 4 module)Rus
Courses (2023/2024)
- Postgraduate seminar (Postgraduate course field of study Postgraduate Studies; 2 year, 2 semester)Eng
- Probabilistic and Statistical Modeling (Postgraduate course field of study Postgraduate Studies; 1 year, 2 semester)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Information Science, field of study Business Informatics; 2 year, 1-4 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Software Engineering; 2 year, 1, 2 module)Rus
- Risks and random processes (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus
- Stochastic Models (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Rus
- Stochastic Models (Mago-Lego; 3, 4 module)Rus
Courses (2022/2023)
- Models of risk management (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus
- Probabilistic and Statistical Modeling (Postgraduate course field of study Informatics and Computer Engineering; 2 year, 1 semester)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Information Science, field of study Business Informatics; 2 year, 1-4 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Software Engineering; 2 year, 1, 2 module)Rus
- Stochastic Models (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Rus
- Stochastic Models (Mago-Lego; 3, 4 module)Rus
Courses (2021/2022)
- Probabilistic and Statistical Modeling (Postgraduate course field of study Informatics and Computer Engineering; 2 year, 1 semester)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Business Informatics; 2 year, 1-4 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Software Engineering; 2 year, 1, 2 module)Rus
- Risks and random processes (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus
- Stochastic Models (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Rus
Courses (2020/2021)
- Probabilistic and Statistical Modeling (Postgraduate course field of study Informatics and Computer Engineering; 2 year, 1, 2 semester)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Information Science, field of study Business Informatics; 2 year, 1-4 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Software Engineering; 2 year, 1, 2 module)Rus
- Risks and random processes (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus
- Stochastic Models (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Rus
Conferences
- 2016
XXXIII International Seminar on Stability Problems for Stochastic Models (Светлогорск). Presentation: Distribution free statistical procedures in random variables networks
Третий Российский экономический конгресс (Москва). Presentation: Экспериментальное исследование сетевых моделей фондовых рынков
- 2015
International Workshop on Machine Learning, Optimization and big Data (Taormina). Presentation: Step down and atep up statistical procedures for stock selection with Sharp ratio
- 2014
XV Апрельская международная научная конференция «Модернизация экономики и общества» (Москва). Presentation: Граф рынка и модель Марковица.
Optimization, Control and Applications in the Information Age (Chalkidiki, Central Makedonia). Presentation: Statistical uncertainty of different markets
- 2013
XXXI International Seminar on Stability Problem for Stochastic Models (Moscow). Presentation: Market network construction: choise a measure of association and probability of the errors.