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2026/2027

Математика для экономистов

Статус: Маго-лего
Охват аудитории: для своего кампуса
Язык: русский
Кредиты: 6
Контактные часы: 132

Программа дисциплины

Аннотация

The objective of the course is to equip the students with the essential mathematical background for Economics, Econometrics and Finance: preliminaries on linear algebra, multivariate calculus, probability theory and statistics, dynamic optimization, and stochastic calculus. Prerequisites include undergraduate level mathematics: Calculus (both single and multi-dimensional), Linear Algebra, Probability theory and Mathematical Statistics, Ordinary Differential Equations.
Цель освоения дисциплины

Цель освоения дисциплины

  • Get acquainted with the essential mathematical tools for Economics, Econometrics and Finance
  • Develop skills at solving differential equations and systems of differential equations
  • Understand the dynamics induced by systems of differential equations
  • Become familiar with basic methods on optimal control theory and dynamic programming and their applicability in economic theory
  • Become familiar with Brownian and Wiener stochastic processes and Ito’s integral, both at a preliminary theoretical level, and in terms of simple applications
Планируемые результаты обучения

Планируемые результаты обучения

  • Apply statistical methods to economic tasks
  • Solve problems of calculus of variations as well as optimal control theory
  • Become familiar with the main elementary notions related to matrices and linear algebra that are employed in Economics and Econometrics
  • Become familiar with the main elementary ideas and techniques for constrained optimization that are employed in Economics
  • Solve elementary ordinary differential equations and understand the dynamics induced by a system of equations
  • Understand the balancing of intertemporal trade-offs via the Euler equation and the recursive formulation of the problems via Bellman's equation
  • Solve problems of calculus of variations and optimal control theory, and interpret the multiplier function as a reflection of incentives
Содержание учебной дисциплины

Содержание учебной дисциплины

  • Theory of probability and statistics
  • Elements of linear algebra
  • Elements of calculus
  • Differential Equations
  • Dynamic Optimization in Continuous Time
  • Dynamic Optimization in Discrete Time
  • Uncertainty, information, and stochastic calculus
Элементы контроля

Элементы контроля

  • неблокирующий Homework (Section 7)
  • неблокирующий Exam (Section 7)
  • неблокирующий Homework (Sections 2,3)
  • неблокирующий Quizzes (Section 1)
  • неблокирующий Test (Section 1)
  • неблокирующий Homework (Sections 4,5,6)
  • неблокирующий Test (Sections 4,5,6)
  • неблокирующий Test (Sections 2,3)
Промежуточная аттестация

Промежуточная аттестация

  • 2026/2027 2nd module
    0.252 * Test (Sections 4,5,6) + 0.05 * Homework (Section 7) + 0.096 * Test (Section 1) + 0.003 * Quizzes (Section 1) + 0.074 * Test (Sections 2,3) + 0.025 * Homework (Sections 2,3) + 0.15 * Homework (Sections 4,5,6) + 0.35 * Exam (Section 7)
Список литературы

Список литературы

Рекомендуемая основная литература

  • Dynamic optimization : the calculus of variations and optimal control in economics and management, Kamien, M. I., 2012
  • Econometric methods, Johnston, J., 2007
  • Economic growth, Barro, R. J., 2004
  • Introduction to modern economic growth, Acemoglu, D., 2009
  • Mathematics for economists, Simon, C. P., 1994
  • Statistics for business and economics, Newbold, P., 2013

Рекомендуемая дополнительная литература

  • Stochastic calculus for finance, Capinski, M., 2012

Авторы

  • Паламарчук Екатерина Сергеевна