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  • Совершенствование преподавания дисциплин математического цикла на основе инвариантов, необходимых для преподавания курса «Эконометрика» экономистам-бакалаврам
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Subject
News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Совершенствование преподавания дисциплин математического цикла на основе инвариантов, необходимых для преподавания курса «Эконометрика» экономистам-бакалаврам

Вестник Нижегородского университета им. Н.И. Лобачевского. Серия: Социальные науки. 2019. Т. 55. № 3. С. 183–189.
Kotelnikova M. V., Aistov A.

The article describes a method that allows to improve the content of disciplines of the mathematical cycle by dividing them into invariant (general) and variable parts. The invariants were identified for such disciplines as «Linear algebra», «Mathematical analysis», «Probability theory and mathematical statistics» delivered to Bachelors program students of economics at several universities. Based on the selected invariants, topics for the organization of problem-based learning and research activities of students focused on the content of the course «Econometrics» are proposed.

Research target: Economics and Management Education Mathematics
Priority areas: economics IT and mathematics business informatics mathematics
Language: Russian
Full text
Text on another site
Keywords: эконометрикаeconometricsинвариантсамостоятельная работа студентовinvariantметод парных сравненийmethod of pairwise comparisonsvariable partstudents’ self-studyвариативная часть
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When green is not attractive: energy transition, capital inflows, and environmental outcomes in BRICS economies
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Macroeconomic determinants of the green transition: a regime-switching analysis of Indonesian clean energy start-ups
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Anosov flows have a long and rich history, firstly motivated by the study of geodesic flows in negative curvature surface by Anosov and Sinai. Not every closed manifold admits an Anosov flow for well-known reasons: the fundamental group of a 3-manifold M admitting an Anosov flow must have exponential growth, and M must be universally covered by R3. Nevertheless, there ...
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The carbon balance of an ecosystem is the difference between Gross Primary Productivity (GPP) and Ecosystem Respiration (Reco) as expressed by Net Ecosystem Exchange (NEE). While remote sensing retrievals of GPP have reached maturity, Reco estimation remains underexplored and ultimately cast bias on NEE. Here we present an end-to-end multi-scale analysis of the mechanism of ...
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