We may earn an affiliate commission when you visit our partners.

Solving Problems with Numerical Methods

Janani Ravi

This course is no longer available. Find something similar by browsing:

Numerical Methods R Programming Linear Algebra Interpolation Extrapolation Local Search Techniques Linear Programming

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Builds a strong foundation for beginners who have no experience with numerical methods

Introduces direct and iterative numerical techniques for solving a wide range of mathematical problems

Provides hands-on experience with R programming for implementing numerical methods

Covers essential concepts such as graph algorithms, local search techniques, and linear programming

Led by instructors with expertise and experience in the field of numerical analysis

This course explicitly requires students to have a basic understanding of R programming

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Activities

Coming soon We're preparing activities for Solving Problems with Numerical Methods. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Solving Problems with Numerical Methods will develop knowledge and skills that may be useful to these careers:

Operations Research Analyst

Operations Research Analysts use advanced analytical techniques to help organizations make better decisions. They may work on projects to improve efficiency, reduce costs, or increase productivity. This course can help prepare you for a career as an Operations Research Analyst by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Operations Research Analyst

Data Scientist

Data Scientists use data to solve problems and make predictions. They may work on projects to improve customer service, identify fraud, or develop new products. This course can help you prepare for a career as a Data Scientist by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Data Scientist

Financial Analyst

Financial Analysts use financial data to make investment recommendations. They may work for investment banks, hedge funds, or other financial institutions. This course can help prepare you for a career as a Financial Analyst by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use mathematical and statistical techniques to assess risk. They may work for insurance companies, pension funds, or other financial institutions. This course can help prepare you for a career as an Actuary by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Actuary

Software Engineer

Software Engineers design, develop, and maintain software applications. They may work for a variety of industries, including technology, finance, and healthcare. This course can help prepare you for a career as a Software Engineer by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to make investment decisions. They may work for investment banks, hedge funds, or other financial institutions. This course can help prepare you for a career as a Quantitative Analyst by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Quantitative Analyst

Market Researcher

Market Researchers collect and analyze data about consumer behavior. They may work for a variety of organizations, including marketing firms, product development companies, and government agencies. This course can help prepare you for a career as a Market Researcher by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Market Researcher

Business Analyst

Business Analysts use data to solve business problems. They may work for a variety of organizations, including consulting firms, corporations, and government agencies. This course can help prepare you for a career as a Business Analyst by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians collect, analyze, and interpret data. They may work for a variety of organizations, including government agencies, research institutions, and businesses. This course can help prepare you for a career as a Statistician by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Statistician

Economist

Economists study the production, distribution, and consumption of goods and services. They may work for a variety of organizations, including government agencies, research institutions, and businesses. This course can help prepare you for a career as an Economist by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Economist

Mathematician

Mathematicians study the properties of numbers, shapes, and other mathematical objects. They may work for a variety of organizations, including universities, research institutions, and businesses. This course can help prepare you for a career as a Mathematician by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Mathematician

Computer Scientist

Computer Scientists design, develop, and analyze algorithms. They may work for a variety of organizations, including technology companies, financial institutions, and government agencies. This course can help prepare you for a career as a Computer Scientist by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Computer Scientist

Physicist

Physicists study the laws of nature. They may work for a variety of organizations, including universities, research institutions, and businesses. This course can help prepare you for a career as a Physicist by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Physicist

Engineer

Engineers design, build, and maintain structures and systems. They may work for a variety of organizations, including construction companies, manufacturing companies, and government agencies. This course can help prepare you for a career as an Engineer by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience will be essential for success in this field.

See salaries and explore the career path for Engineer

Biologist

Biologists study living organisms. They may work for a variety of organizations, including universities, research institutions, and businesses. This course may be useful for a career as a Biologist by providing you with a strong foundation in numerical methods. You will learn how to solve problems using both direct and iterative techniques, and you will gain experience with a variety of numerical algorithms. This knowledge and experience may be helpful for success in this field.

See salaries and explore the career path for Biologist

Reading list

We haven't picked any books for this reading list yet.

Geometric Numerical Integration

Save

Covers numerical methods for solving evolutionary differential equations, a topic of great importance in scientific computing. It is written by leading experts in the field.

Geometric Numerical Integration: Structure...

Paperback

$$$$

Geometric Numerical Integration: Structure...

Kindle Edition

$$$$

Numerical Bifurcation Analysis of Maps

Save

Focuses on numerical methods for bifurcation problems, a specific area of differential equations where solutions change qualitatively as a parameter is varied. It is written by an expert in the field, with a focus on practical applications.

Numerical Bifurcation Analysis of Maps: From Theory...

Hardcover

$$$$

Numerical Solution of Stochastic Differential...

Save

Presents numerical methods for stochastic differential equations, which are essential for modeling random phenomena in various fields. It is written by leading experts in the field and includes both theoretical background and practical algorithms.

Numerical Solution of Stochastic Differential...

Paperback

$$$

Numerical Solution of Stochastic Differential...

Kindle Edition

$$$

Численные методы

Save

Classic Russian textbook on numerical methods. It provides a comprehensive overview of the subject, from basic concepts to advanced techniques. It is suitable for both undergraduate and graduate students.

Solving Problems with Numerical Methods

Traffic lights

Save this course

Activities

Career center

Reading list

Share

Similar courses