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

Equations

Equations are a fundamental concept in mathematics that represent mathematical statements of equality. They are used to express relationships between variables and constants and are essential for solving problems in various fields, including science, engineering, economics, and finance.

Read more

Equations are a fundamental concept in mathematics that represent mathematical statements of equality. They are used to express relationships between variables and constants and are essential for solving problems in various fields, including science, engineering, economics, and finance.

Understanding Equations

Equations consist of two expressions separated by an equal sign (=). The expressions on either side of the equal sign have the same value, and the purpose of an equation is to find the values of the variables that make the equation true.

There are different types of equations, including:

  • Linear equations: These equations have a degree of 1, meaning they have a constant term and a variable term that is raised to the power of 1. Linear equations are often represented in the form y = mx + b, where m is the slope and b is the y-intercept.
  • Quadratic equations: These equations have a degree of 2, meaning they have a constant term, a linear term (raised to the power of 1), and a quadratic term (raised to the power of 2). Quadratic equations are often represented in the form ax^2 + bx + c = 0.
  • Polynomial equations: These equations have a degree greater than 2 and can have multiple variables.
  • Transcendental equations: These equations involve non-polynomial functions, such as exponential or logarithmic functions.

Solving Equations

Solving equations involves finding the values of the variables that make the equation true. Different techniques are used to solve different types of equations, including:

  • Algebraic methods: These methods involve using algebraic operations, such as addition, subtraction, multiplication, and division, to isolate the variable on one side of the equation.
  • Graphical methods: These methods involve graphing the equations and finding the points of intersection, which represent the solutions to the equations.
  • Numerical methods: These methods involve using iterative algorithms, such as the Newton-Raphson method, to approximate the solutions to the equations.

Applications of Equations

Equations have widespread applications in various fields:

  • Science: Equations are used to model physical phenomena, such as motion, heat transfer, and chemical reactions.
  • Engineering: Equations are used to design and analyze structures, machines, and systems.
  • Economics: Equations are used to model economic systems, such as supply and demand, and to make predictions about economic behavior.
  • Finance: Equations are used to calculate interest rates, present values, and future values, and to assess financial risk.

Learning Equations with Online Courses

Online courses can provide an accessible and flexible way to learn about equations. These courses offer various learning resources, such as:

  • Lecture videos: These videos provide explanations of the concepts and methods related to equations.
  • Projects and assignments: These activities allow learners to practice solving equations and apply their knowledge to real-world scenarios.
  • Quizzes and exams: These assessments help learners test their understanding of the material and identify areas where they need further study.
  • Discussions: These forums allow learners to interact with each other and the course instructors, ask questions, and share insights.
  • Interactive labs: These online environments provide learners with hands-on experience in solving equations and visualizing mathematical concepts.

While online courses can be valuable learning tools, they may not provide the same level of personalized instruction and immediate feedback as traditional classroom settings. Learners may need to supplement their online studies with additional resources or seek guidance from a tutor or instructor for a more comprehensive understanding of equations.

Path to Equations

Take the first step.
We've curated ten courses to help you on your path to Equations. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Share

Help others find this page about Equations: by sharing it with your friends and followers:

Reading list

We've selected 14 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 Equations.
This classic textbook provides a comprehensive introduction to statistical learning, covering topics such as supervised learning, unsupervised learning, and deep learning. It is written in a clear and concise style, making it accessible to students of all levels.
This widely-used textbook introduces students to the fundamental concepts of calculus, including limits, derivatives, and integrals. It is written in a clear and engaging style, and it includes numerous examples and practice problems.
This classic textbook provides a comprehensive introduction to deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It is written in a clear and concise style, making it accessible to students of all levels.
This classic textbook provides a comprehensive introduction to reinforcement learning, covering topics such as Markov decision processes, value functions, and policy gradient methods. It is written in a clear and concise style, making it accessible to students of all levels.
This classic textbook provides a comprehensive introduction to machine learning, covering topics such as supervised learning, unsupervised learning, and deep learning. It is written in a clear and concise style, making it accessible to students of all levels.
This classic textbook provides a comprehensive introduction to mathematical methods used in physics and engineering, covering topics such as calculus, linear algebra, and differential equations. It is written in a clear and concise style, making it accessible to students of all levels.
This classic textbook provides a comprehensive introduction to statistical learning with sparsity, covering topics such as lasso, elastic net, and group lasso. It is written in a clear and concise style, making it accessible to students of all levels.
This classic textbook provides a comprehensive introduction to convex optimization, covering topics such as linear programming, semidefinite programming, and conic programming. It is written in a clear and concise style, making it accessible to students of all levels.
This classic textbook provides a comprehensive introduction to game theory, covering topics such as non-cooperative games, cooperative games, and evolutionary game theory. It is written in a clear and concise style, making it accessible to students of all levels.
This classic textbook provides a comprehensive introduction to information theory, inference, and learning algorithms, covering topics such as entropy, mutual information, and Bayesian networks. It is written in a clear and concise style, making it accessible to students of all levels.
This classic textbook provides a comprehensive introduction to linear algebra, covering topics such as matrices, vectors, and eigenvalues. It is written in a clear and concise style, making it accessible to students of all levels.
This textbook provides a comprehensive introduction to the mathematical foundations of machine learning, covering topics such as linear algebra, probability, and optimization. It is written in a clear and concise style, making it accessible to students of all levels.
This advanced textbook provides a comprehensive introduction to partial differential equations, covering topics such as the heat equation, the wave equation, and the Laplace equation. It is written in a clear and concise style, making it accessible to students of all levels.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser