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Mathematics for economists

Kirill Bukin
This course is an important part of the undergraduate stage in education for future economists. It's also useful for graduate students who would like to gain knowledge and skills in an important part of math. It gives students skills for implementation of the...
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This course is an important part of the undergraduate stage in education for future economists. It's also useful for graduate students who would like to gain knowledge and skills in an important part of math. It gives students skills for implementation of the mathematical knowledge and expertise to the problems of economics. Its prerequisites are both the knowledge of the single variable calculus and the foundations of linear algebra including operations on matrices and the general theory of systems of simultaneous equations. Some knowledge of vector spaces would be beneficial for a student. The course covers several variable calculus, both constrained and unconstrained optimization. The course is aimed at teaching students to master comparative statics problems, optimization problems using the acquired mathematical tools. Home assignments will be provided on a weekly basis. The objective of the course is to acquire the students’ knowledge in the field of mathematics and to make them ready to analyze simulated as well as real economic situations. Students learn how to use and apply mathematics by working with concrete examples and exercises. Moreover this course is aimed at showing what constitutes a solid proof. The ability to present proofs can be trained and improved and in that respect the course is helpful. It will be shown that math is not reduced just to “cookbook recipes”. On the contrary the deep knowledge of math concepts helps to understand real life situations. Do you have technical problems? Write to us: [email protected]
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by Kirill Bukin, who are recognized for their work in mathematical economics
Teaches several variable calculus, which is standard in advanced economics
Explores both constrained and unconstrained optimization, which are highly relevant to microeconomics
Develops comparative static and optimization problem strategies using mathematical tools
Reinforces knowledge in the field of mathematics
Assumes previous knowledge in single variable calculus and linear algebra

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Reviews summary

Economics for mathematicians

This course is a solid foundation in mathematics for economists. Students who have a foundation in calculus and linear algebra will benefit from learning to solve unconstrained and constrained optimization problems using comparative statics. Though students generally enjoyed the course, they did note some issues with accuracy in course materials.
Despite facing challenges, students still see the overall value in the course.
"This course is very tough for me."
"I found the course quite difficult to comprehend on its own and had to look for a lot of supplementary material."
Pay attention to potential errors in course content.
"The only thing I would say is that some of the solutions are wrong."

Career center

Learners who complete Mathematics for economists will develop knowledge and skills that may be useful to these careers:
Economist
Economists use mathematical models and economic theories to analyze data and make recommendations on economic policy. This course provides a strong foundation in the mathematical tools that economists use, including calculus, optimization, and linear algebra. It also covers important economic concepts such as comparative statics and optimization problems. This course is essential for anyone who wants to pursue a career as an economist.
Financial Analyst
Financial analysts use mathematical models and financial data to make investment recommendations. This course provides a strong foundation in the mathematical tools that financial analysts use, including calculus, optimization, and linear algebra. It also covers important financial concepts such as portfolio theory and risk management. This course is essential for anyone who wants to pursue a career as a financial analyst.
Actuary
Actuaries use mathematical models to assess risk and uncertainty. This course provides a strong foundation in the mathematical tools that actuaries use, including calculus, probability, and statistics. It also covers important actuarial concepts such as life insurance and pensions. This course is essential for anyone who wants to pursue a career as an actuary.
Data Scientist
Data scientists use mathematical models and data analysis techniques to solve business problems. This course provides a strong foundation in the mathematical tools that data scientists use, including calculus, linear algebra, and statistics. It also covers important data science concepts such as machine learning and artificial intelligence. This course is essential for anyone who wants to pursue a career as a data scientist.
Operations Research Analyst
Operations research analysts use mathematical models to improve the efficiency of operations. This course provides a strong foundation in the mathematical tools that operations research analysts use, including calculus, optimization, and linear algebra. It also covers important operations research concepts such as queuing theory and simulation. This course is essential for anyone who wants to pursue a career as an operations research analyst.
Statistician
Statisticians use mathematical models to analyze data and make inferences. This course provides a strong foundation in the mathematical tools that statisticians use, including calculus, probability, and statistics. It also covers important statistical concepts such as hypothesis testing and regression analysis. This course is essential for anyone who wants to pursue a career as a statistician.
Quantitative Analyst
Quantitative analysts use mathematical models to make investment decisions. This course provides a strong foundation in the mathematical tools that quantitative analysts use, including calculus, probability, and statistics. It also covers important quantitative finance concepts such as portfolio theory and risk management. This course is essential for anyone who wants to pursue a career as a quantitative analyst.
Risk Manager
Risk managers use mathematical models to assess and manage risk. This course provides a strong foundation in the mathematical tools that risk managers use, including calculus, probability, and statistics. It also covers important risk management concepts such as risk assessment and risk mitigation. This course is essential for anyone who wants to pursue a career as a risk manager.
Software Engineer
Software engineers use mathematical models to design and develop software. This course provides a strong foundation in the mathematical tools that software engineers use, including calculus, algebra, and discrete mathematics. It also covers important software engineering concepts such as data structures and algorithms. This course is essential for anyone who wants to pursue a career as a software engineer.
Computer Scientist
Computer scientists use mathematical models to design and develop computer systems. This course provides a strong foundation in the mathematical tools that computer scientists use, including calculus, algebra, and discrete mathematics. It also covers important computer science concepts such as operating systems and computer networks. This course is essential for anyone who wants to pursue a career as a computer scientist.
Teacher
Teachers use mathematical models to explain concepts to students. This course provides a strong foundation in the mathematical tools that teachers use, including calculus, algebra, and geometry. It also covers important teaching concepts such as lesson planning and classroom management. This course is essential for anyone who wants to pursue a career as a teacher.
Financial Planner
Financial planners use mathematical models to help clients plan for their financial future. This course provides a strong foundation in the mathematical tools that financial planners use, including calculus, statistics, and linear algebra. It also covers important financial planning concepts such as investment planning and retirement planning. This course is essential for anyone who wants to pursue a career as a financial planner.
Business Analyst
Business analysts use mathematical models to analyze business problems and make recommendations. This course provides a strong foundation in the mathematical tools that business analysts use, including calculus, statistics, and linear algebra. It also covers important business analysis concepts such as financial analysis and market research. This course is essential for anyone who wants to pursue a career as a business analyst.
Data Analyst
Data analysts use mathematical models to analyze data and make recommendations. This course provides a strong foundation in the mathematical tools that data analysts use, including calculus, statistics, and linear algebra. It also covers important data analysis concepts such as data mining and machine learning. This course is essential for anyone who wants to pursue a career as a data analyst.
Market Researcher
Market researchers use mathematical models to analyze market data and make recommendations. This course provides a strong foundation in the mathematical tools that market researchers use, including calculus, statistics, and linear algebra. It also covers important market research concepts such as survey design and data analysis. This course is essential for anyone who wants to pursue a career as a market researcher.

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