Математические методы и модели в экономике from Coursera

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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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

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

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Математические методы и модели в экономике with these activities:

Review 'Mathematics for Economists' by Simon and Blume

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Strengthen foundational knowledge in mathematical concepts used in economics

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Read assigned chapters and take notes
Work through practice problems in the book
Attend book discussion sessions or online forums

Review online tutorials on optimization techniques

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Enhance understanding of optimization techniques and their applications in economics

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Identify specific areas of optimization relevant to the course
Search for online tutorials covering those optimization techniques
Watch and follow along with the tutorials
Practice applying the techniques through exercises or examples

Participate in peer study groups to discuss course concepts

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Foster collaboration and deeper comprehension through peer discussions

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Form or join a study group with classmates
Set regular meeting times and topics for discussion
Prepare for meetings by reviewing materials and preparing questions
Actively participate in discussions and share perspectives

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Practice solving economic models

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Reinforce concepts of economic modeling through practice

Browse courses on Economic Modeling

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Review lecture notes and textbook readings on economic modeling
Attempt practice problems from the textbook or online resources
Attend office hours or tutoring sessions for additional support
Form study groups with classmates to discuss and solve problems together

Create a visual representation of different types of market structures

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Enhance understanding of market structures through visual aids

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Research and identify different types of market structures
Choose a suitable visual medium (e.g., graphs, charts, diagrams)
Create a clear and informative visual representation
Share the visual representation with classmates or online

Organize and review notes, assignments, and materials from the course

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Enhance retention and improve study habits

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Review lecture notes and identify key concepts
Summarize and organize notes in a consistent manner
Review completed assignments and identify areas for improvement
Organize materials by topic or chapter for easy access

Attend a workshop on economic forecasting

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Gain practical experience in applying forecasting techniques

Browse courses on Economic Forecasting

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Research and identify relevant workshops
Register and attend the workshop
Actively participate in discussions and exercises
Apply learned techniques to real-world data

Develop a mathematical model for a real-world economic scenario

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Apply knowledge gained in the course to solve practical economic problems

Browse courses on Economic Modeling

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Identify an economic scenario that can be modeled mathematically
Gather relevant data and assumptions
Develop the mathematical model using appropriate equations and variables
Analyze the model to derive insights and make predictions
Present the model and its findings in a clear and concise manner

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.

See salaries and explore the career path for Quantitative Analyst

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.

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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.

See salaries and explore the career path for Operations Research Analyst

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.

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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.

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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.

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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.

See salaries and explore the career path for Marketing Manager

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.

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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.

See salaries and explore the career path for Economist

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.

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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.

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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.

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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.

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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.

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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.

See salaries and explore the career path for Software Engineer