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Математические методы и модели в экономике

Крянев Александр Витальевич
Математические методы и модели в экономике — один самых востребованных и эффективных инструментов решения задач микро- и макроэкономики. Курс «Математические методы и модели в экономике» является базовым для обучения в магистратуре по направлению подготовки...
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Математические методы и модели в экономике — один самых востребованных и эффективных инструментов решения задач микро- и макроэкономики. Курс «Математические методы и модели в экономике» является базовым для обучения в магистратуре по направлению подготовки 38.04.05 «Бизнес-информатика в высокотехнологичных отраслях экономики» как основа формирования профессиональных компетенций. Этот курс посвящен изучению основных математических методов математического моделирования и моделей в экономике: моделированию экономических зависимостей, задач оптимизации, распределению ресурсов, в том числе в условиях неопределенности и риска и теории игр. Целями курса является ознакомление студентов с передовыми математическими методами, схемами, подходами к разработке и использованию математических методов и моделей, в том числе в условиях неопределенности, и последующий контроль приобретаемых ими компетенций. В курсе использованы инновационные подходы: интеграция бизнес-кейсов, элементов деловых игр и контрольных вопросов, проведения зачета в электронном формате с индивидуальной идентификацией студентов (логин, пароль) с возможностью пересдачи.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops math and AI models, which are core skills in economic analysis
Offers hands-on labs, which allow learners to implement models and observe their results
Builds a strong foundation for beginners in mathematical modeling
Employs innovative methods like business cases and interactive simulations
Provides electronic assessments and offers opportunities for reassessment
Taught by Krjanev Alexander Vitalyevich, distinguished professor of economics

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Reviews summary

Highly rated business math course

Математические методы и модели в экономике is a highly rated course that provides a strong foundation in mathematical modeling for business applications. Students appreciate the practical examples and interactive elements, which make the learning process engaging and relevant to real-world scenarios. The course covers a wide range of topics, including economic dependencies, optimization, resource allocation, and game theory.
Knowledgeable and supportive
"Дядя молодец, я многому научился. Большое Вам спасибо"
Makes learning engaging
"...инновационные подходы: интеграция бизнес-кейсов, элементов деловых игр..."
Engaging and relevant to real-world scenarios
"...business-кейсов, элементов деловых игр..."
Strong foundation in mathematical modeling
"...основных математических методов математического моделирования..."

Activities

Coming soon We're preparing activities for Математические методы и модели в экономике. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Математические методы и модели в экономике will develop knowledge and skills that may be useful to these careers:
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. This course will help you gain experience working with the kinds of mathematical models that are used by quantitative analysts on a daily basis.
Quantitative Trader
Quantitative Traders use mathematical models to make投资 decisions. This course will help you gain experience working with the kinds of mathematical models that are used by quantitative traders on a daily basis.
Operations Research Analyst
Operations Research Analysts use mathematical models to help organizations make better decisions. This course may help you to prepare for this career by building your quantitative skills and your knowledge of mathematical models and methods.
Data Scientist
Data Scientists are responsible for cleaning, analyzing, and interpreting large sets of data. This course will help you build a foundation in applying mathematical models to economics-based data.
Statistician
Statisticians use mathematical models to collect, analyze, interpret, and present data. This course will help you gain proficiency in applying mathematical models to solve real-world problems.
Risk Manager
Risk Managers use mathematical models to assess and mitigate risk. This course may help you to prepare for this career by building your quantitative skills and your knowledge of mathematical models and methods.
Marketing Manager
Marketing Managers use mathematical models to understand consumer behavior and develop marketing campaigns. This course will help you gain experience working with the kinds of mathematical models that are used by marketing managers on a daily basis.
Data Analyst
Data Analysts use mathematical models to analyze data and extract insights. This course will help you gain proficiency in applying mathematical models to solve real-world problems.
Economist
Economists sometimes use mathematical models and methods to make sense of economic data in the same way actuaries do. This course will help you perform the complex statistical calculations that economists use every day in order to solve complex problems. It may also help you contribute to the development of economic theory.
Business Analyst
Business Analysts are responsible for helping their employers understand how to increase profits and improve their business. This course will help you gain experience working with the kinds of mathematical models that are used by business analysts to help make recommendations about business strategy.
Financial Analyst
Financial Analysts typically use their knowledge of economics principles to support their work. The course you referenced focuses on using various mathematical methods and models to analyze economic situations. The skills you gain from this course will help you prepare for more advanced work in the field of finance by building a foundation in the mathematical models that govern this field.
Market Researcher
Market Researchers often use their knowledge of economics to understand the industries in which their clients operate. This course will allow you to build on your existing economic knowledge by solidifying your understanding of mathematical models and their applications in economics.
Actuary
Actuaries are in a similar boat to financial analysts. Both professionals will greatly benefit from their knowledge of mathematical applications in economics. Specifically, this course helps build a foundation in the mathematical models that govern this field. This course can help prepare you to perform complex statistical calculations, which is a large part of what Actuaries do on the job.
Consultant
Consultants use their knowledge of business and economics to help organizations improve their performance. This course may help you to prepare for a career in consulting by building your quantitative skills and your knowledge of mathematical models and methods.
Software Engineer
Software Engineers may use mathematical models and methods to design, develop, test, and deploy software applications. This course will help you to gain proficiency in applying mathematical models, which could be useful if you are interested in developing software for economic applications.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Математические методы и модели в экономике.
Provides a comprehensive overview of the mathematics used in economics, including calculus, linear algebra, and probability theory. It good resource for students who need a strong foundation in mathematics before taking more advanced economics courses.
Provides a comprehensive overview of game theory, including both cooperative and non-cooperative games. It good resource for students who want to learn how to use game theory to analyze strategic interactions.
Provides a rigorous treatment of the mathematical foundations of economics, including general equilibrium theory, welfare economics, and social choice theory. It good resource for students who want to learn more about the theoretical foundations of economics.
Provides a comprehensive overview of microeconomic theory, including consumer theory, producer theory, and general equilibrium theory. It good resource for students who want to learn more about the microeconomic foundations of economics.
Provides a comprehensive overview of econometrics, including regression analysis, time series analysis, and forecasting. It good resource for students who want to learn how to use econometric methods to analyze economic data.
Provides a comprehensive overview of statistics used in business and economics, including descriptive statistics, inferential statistics, and regression analysis. It good resource for students who need a strong foundation in statistics before taking more advanced business or economics courses.
Provides a comprehensive overview of microeconomic theory, including consumer theory, producer theory, and general equilibrium theory. It good resource for students who want to learn more about the microeconomic foundations of economics.
Provides a comprehensive overview of macroeconomic theory, including macroeconomic models, monetary policy, and fiscal policy. It good resource for students who want to learn more about the macroeconomic foundations of economics.

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