Бакалавриат
2022/2023![Learning Objectives](/f/src/global/i/edu/objectives.svg)
![Expected Learning Outcomes](/f/src/global/i/edu/results.svg)
![Course Contents](/f/src/global/i/edu/sections.svg)
![Interim Assessment](/f/src/global/i/edu/intermediate_certification.svg)
Математика для экономистов
Статус:
Курс обязательный (Международная программа по экономике и финансам)
Направление:
38.03.01. Экономика
Кто читает:
Международный институт экономики и финансов
Где читается:
Международный институт экономики и финансов
Когда читается:
2-й курс, 2-4 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Преподаватели:
Букин Кирилл Александрович,
Демешев Борис Борисович,
Есаулов Даниил Михайлович,
Жуков Павел Владимирович,
Лукьянченко Петр Павлович,
Руденко Виктория Алексеевна,
Ченцов Александр Михайлович
Язык:
английский
Кредиты:
10
Контактные часы:
154
Course Syllabus
Abstract
Mathematics for Economists is a two-semester course for the second year students studying at ICEF. It is designed for all specializations at ICEF but for the “Mathematics and Economics” specialization the students of which follow a different course ‘”Mathematical Methods for Economists”. This course is an important part of the bachelor stage in education of the future economists. It has to give students skills for implementation of the mathematical knowledge and expertise to the problems of economics. Its prerequisite is the knowledge of the single variable calculus.
Learning Objectives
- Students are supposed: to acquire knowledge in the field of higher mathematics and become ready to analyze simulated as well as real economic situations;
- to develop ability to apply the knowledge of the differential and difference equations which will enable them to analyze dynamics of the processes.
Expected Learning Outcomes
- Apply IFT to microeconomic and macroeconomic problems
- Apply the notion of level curve to microeconomics
- Be able to find a limit of a function at a point
- Be able to handle derivatives
- Classify the sets in n-dimensional space
- Explain and apply gradient and related directional derivative
- Find derivatives of implicit functions
Course Contents
- Multi-dimensional calculus
- Optimization
- Differential and difference equations
- Methods of optimization
Interim Assessment
- 2022/2023 2nd module0.3 * home assignments sem 1 + 0.7 * exam intermediate
- 2022/2023 4th module0.2 * 2022/2023 2nd module + 0.2 * home assignments sem 2 + 0.6 * exam final