Alla Tambovtseva
- Lecturer: Independent HSE Departments / Department of Higher Mathematics
- Alla Tambovtseva has been at HSE University since 2014.
- Language Proficiency
- English
- Spanish
- French
- Slovene
- Contacts
- Phone:
00000 - Address: 3A Krivokolenny Pereulok, room 301к
- ORCID: 0000-0003-1496-820X
- ResearcherID: T-1499-2017
- Google Scholar
- Supervisor
- A. A. Makarov
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Education
2016
Bachelor'sHSE University
Continuing education / Professional retraining / Internships / Study abroad experience
- 4th International Winter School on Big Data (West University of Timișoara, 2018)
- European Summer School in Logic, Language and Information (University of Toulouse, France, 2017)
- RECSM Summer School of Survey Methodology (University Pompeu Fabra, Spain, 2016)
- European Summer School in Logic, Language and Information (University Pompeu Fabra, Spain, 2015)
- ECPR Winter School in Methods and Techniques (University of Bamberg, Germany, 2015)
- ECPR Summer School in Methods and Techniques (University of Ljubljana, Slovenia, 2014)
Awards and Accomplishments
Best Teacher — 2017–2024
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Lecturers under 30" (2018)
Courses (2024/2025)
- Data Analysis in Python (Bachelor’s programme; Faculty of Management field of study Software Engineering, Business Informatics; 2 year, 4 module)Rus
- Introduction to Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 1 year, 3, 4 module)Rus
- Linear Algebra and Applications in Multivariate Statistics (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 2 year, 3, 4 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Social Sciences field of study Applied Mathematics and Information Science, Psychology, Public Administration, Sociology, Political Science; 2 year, 1-4 module)Rus
- Programming for Everybody (Getting Started with Python) (Master’s programme; Faculty of Social Sciences field of study Political Science; 1 year, 1 module)Rus
- Programming for Everybody (Getting Started with Python) (Master’s programme; Faculty of Social Sciences field of study Political Science; 1 year, 1 module)Rus
- Programming for Everybody (Getting Started with Python) (Mago-Lego; 1 module)Rus
- Python for Data Analysis (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 3 year, 2 module)Rus
- Research Seminar "Fundamentals of Data Analysis" (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 3 year, 3 module)Rus
- Research Seminar: Introduction to Regression Analysis (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 2 year, 1, 2 module)Rus
- Seminar "Quantitative Data Basics" (Master’s programme; Faculty of Creative Industries field of study Advertising and Public Relations; 1 year, 1 module)Rus
- Past Courses
Courses (2023/2024)
- Data Analysis in Python (Bachelor’s programme; Faculty of Management field of study Software Engineering; 2 year, 4 module)Rus
- Introduction to Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 1 year, 3, 4 module)Rus
- Introduction to Regression Analysis (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 2 year, 1 module)Rus
- Linear Algebra and Applications in Multivariate Statistics (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 2 year, 3, 4 module)Rus
- Programming for Everybody (Getting Started with Python) (Mago-Lego; 1 module)Rus
- Programming for Everybody (Getting Started with Python) (Master’s programme; Faculty of Social Sciences field of study Political Science, field of study Political Science; 1 year, 1 module)Rus
- Python for Data Analysis (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 3 year, 1, 2 module)Rus
- Seminar "Quantitative Data Basics" (Master’s programme; Faculty of Creative Industries field of study Advertising and Public Relations; 1 year, 1 module)Rus
Courses (2022/2023)
- Basics of Programming in Python (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 1 year, 3, 4 module)Rus
- Introduction to Multivariate Statistical Analysis (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 2 year, 3, 4 module)Rus
- Introduction to Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 1 year, 3, 4 module)Rus
- Introduction to Regression Analysis (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 2 year, 1 module)Rus
- Practicum: Web-scraping: collecting data from databases and internet sources (Bachelor’s programme; Faculty of Social Sciences field of study Psychology; 3 year, 3 module)Rus
- Programming for Everybody (Getting Started with Python) (Master’s programme; Faculty of Social Sciences field of study Political Science, field of study Political Science; 1 year, 1 module)Rus
- Programming for Everybody (Getting Started with Python) (Mago-Lego; 1 module)Rus
- Python Programming (Bachelor’s programme; Faculty of Management field of study Business Informatics; 2 year, 4 module)Rus
- Python as a Tool for Data Collection and Analysis (Optional course (faculty); 3, 4 module)Eng
- Python for Data Analysis (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 3 year, 1 module)Rus
- Seminar "Quantitative Data Basics" (Master’s programme; Faculty of Creative Industries field of study Advertising and Public Relations; 1 year, 1 module)Rus
Courses (2021/2022)
- Foundations of Probability Theory and Mathematical Statistics (Master’s programme; Faculty of Creative Industries field of study Advertising and Public Relations; 1 year, 1 module)Rus
- Introduction to Multivariate Statistical Analysis (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 2 year, 4 module)Rus
- Introduction to Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 1 year, 3, 4 module)Rus
- Practicum: Web-scraping: collecting data from databases and internet sources (Bachelor’s programme; Faculty of Social Sciences field of study Psychology; 4 year, 3 module)Rus
- Programming for Everybody (Getting Started with Python) (Master’s programme; Faculty of Social Sciences field of study Political Science; 1 year, 1 module)Rus
- Python Programming (Bachelor’s programme; Faculty of Management field of study Business Informatics; 2 year, 4 module)Eng
Courses (2020/2021)
- Basics of Programming in R (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 3 year, 3, 4 module)Rus
- Foundations of Probability Theory and Mathematical Statistics (Master’s programme; Faculty of Creative Industries field of study Advertising and Public Relations; 1 year, 1 module)Rus
- Introduction to Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Social Sciences field of study Political Science; 1 year, 3, 4 module)Rus
- Mathematical Basics for Data Analysis (Master’s programme; Faculty of Humanities field of study Fundamental and Applied Linguistics; 1 year, 2-4 module)Rus
- Programming for Everybody (Getting Started with Python) (Master’s programme; Faculty of Social Sciences field of study Political Science; 1 year, 1 module)Rus
- Python as a Tool for Data Collection and Analysis (Optional course (faculty); International College of Economics and Finance; 3, 4 module)Rus
Conferences
- 2018
XIX Апрельская международная научная конференция по проблемам развития экономики и общества (Москва). Presentation: On the measurement of population heterogeneity in electoral studies
- 2016
Первая международная научная конференция молодых учёных «К альянсу социальных наук: теория и практика междисциплинарного взаимодействия» (Москва). Presentation: Стратегическое поведение избирателей на выборах: причины и механизмы (на примере выборов в Арбитражный комитет Википедии)