What is differential equation?

A differential equation is a mathematical formula common in science and engineering that seeks to find the rate of change in one variable to other variables. Differential equations use derivatives, which are variables that represent change of a functional dependence of one variable upon another. In many differential equations, you will see the derivatives expressed in x and y terms. Differential equations are used in areas of quantitative study because they help scientists and engineers find solutions that may be used to predict the behavior of an original system. These solutions, called functions, show rates of change in matters that can be directly observed and measured.

Why is it valuable to learn differential equation?

It is valuable to learn differential equations as these are found and used in traditional sciences like physics, engineering, chemistry, and biology and numerical sciences like math, scientific computing, machine learning, and artificial intelligence. Differential equations are used in these areas to find rates of change in problems like circuit design, heat transfer, fluid mechanics, seismic waves, or in finance for options trading. Learning about differential equations can help you if you choose to study and eventually work in these fields.

What are typical career opportunities that use differential equation?

Some typical career opportunities for those who learn differential equations are in science and engineering jobs like control software engineer, computational fluid dynamics analyst, data scientist, meteorology scientist, and similar weather science roles. You may also find career opportunities in research science, electromagnetics, physics, and electrical engineering positions. Jobs in options trading are also possible if you know differential equations, as traders often use these formulas in software programs to assess a current value or volatility of a particular stock price.

How can online courses help me learn differential equation?

Taking online courses in differential equations might help you grasp the fundamentals of first-order differential equations, second-order linear differential equations, and mathematical modeling problems. When you study the key aspects of differential equations in online courses, you may also learn the basics of related scientific and mathematical disciplines of discrete mathematics, linear algebra, and statistical probability.

瀏覽
Differential Equation

Related topics:微分方程微分線性微分方程微積分學應用統計 IBM

篩選依據

''differential equation'的 83 個結果

免費
免費
免費
University of Geneva
Simulation and modeling of natural processes
您將獲得的技能： Machine Learning, Software Architecture, Theoretical Computer Science, Computer Graphic Techniques, Statistical Programming, Mathematical Theory & Analysis, Computer Programming, Computer Graphics, Research and Design, Mathematics, Other Programming Languages, Software Engineering, Differential Equations, Strategy and Operations, Algorithms, Algebra, Deep Learning, Artificial Neural Networks, Operations Research, Python Programming, Probability & Statistics, Modeling, Simulation
4.2
（309 條評論）
Mixed · Course
Imperial College London
Mathematics for Machine Learning
您將獲得的技能： Algebra, Algorithms, Analysis, Artificial Neural Networks, Basic Descriptive Statistics, Calculus, Computer Programming, Data Analysis, Deep Learning, Differential Equations, General Statistics, Linear Algebra, Linear Regression, Linearity, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Probability Distribution, Python Programming, Regression, Statistical Programming, Theoretical Computer Science
4.6
（12.8k 條評論）
Beginner · Specialization
University of Colorado Boulder
Algorithms for Battery Management Systems
您將獲得的技能： Account Management, Algebra, Algorithms, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Model, Design and Product, Differential Equations, Entrepreneurship, Estimation, Feature Engineering, General Statistics, Leadership and Management, Linear Algebra, Machine Learning, Markov Model, Material Handling, Mathematical Theory & Analysis, Mathematics, Operating Systems, Other Programming Languages, Probability & Statistics, Probability Distribution, Problem Solving, Product Lifecycle, Product Management, Research and Design, Sales, Software Engineering, Software Testing, Statistical Machine Learning, Strategy and Operations, Supply Chain and Logistics, System Programming, Systems Design, Theoretical Computer Science
4.7
（1.7k 條評論）
Intermediate · Specialization
Northwestern University
Modern Robotics: Mechanics, Planning, and Control
您將獲得的技能： Algebra, Algorithms, Calculus, Computer Graphic Techniques, Computer Programming, Data Analysis, Data Analysis Software, Differential Equations, Entrepreneurship, General Statistics, Human Computer Interaction, Leadership and Management, Linear Algebra, Linearity, Mathematics, Planning, Probability & Statistics, Python Programming, Supply Chain and Logistics, Theoretical Computer Science, Virtual Reality
4.7
（896 條評論）
Intermediate · Specialization
University of Colorado Boulder
Embedding Sensors and Motors
您將獲得的技能： Computational Logic, Computer Architecture, Computer Programming, Design and Product, Differential Equations, Electrical Engineering, General Statistics, Hardware Design, Machine Learning, Mathematics, Probability & Statistics, Programming Principles, Theoretical Computer Science
4.6
（2.1k 條評論）
Intermediate · Specialization

與 differential equation 相關的搜索

differential equations for engineers

differential equations

differential equations part i basic theory

differential equations part ii series solutions

總之，這是我們最受歡迎的 differential equation 門課程中的 10 門

Differential Equations Part I Basic Theory: Korea Advanced Institute of Science and Technology(KAIST)
Differential Equations for Engineers: The Hong Kong University of Science and Technology
Differential Equations Part II Series Solutions: Korea Advanced Institute of Science and Technology(KAIST)
Mathematics for Engineers: The Hong Kong University of Science and Technology
Exploring Quantum Physics: University of Maryland, College Park
Simulation and modeling of natural processes: University of Geneva
Dynamical Modeling Methods for Systems Biology: Icahn School of Medicine at Mount Sinai
Mathematics for Machine Learning: Imperial College London
Algorithms for Battery Management Systems: University of Colorado Boulder
Data Science Foundations: Statistical Inference: University of Colorado Boulder

關於微分方程的常見問題

A differential equation is a mathematical formula common in science and engineering that seeks to find the rate of change in one variable to other variables. Differential equations use derivatives, which are variables that represent change of a functional dependence of one variable upon another. In many differential equations, you will see the derivatives expressed in x and y terms. Differential equations are used in areas of quantitative study because they help scientists and engineers find solutions that may be used to predict the behavior of an original system. These solutions, called functions, show rates of change in matters that can be directly observed and measured.‎
It is valuable to learn differential equations as these are found and used in traditional sciences like physics, engineering, chemistry, and biology and numerical sciences like math, scientific computing, machine learning, and artificial intelligence. Differential equations are used in these areas to find rates of change in problems like circuit design, heat transfer, fluid mechanics, seismic waves, or in finance for options trading. Learning about differential equations can help you if you choose to study and eventually work in these fields.‎
Some typical career opportunities for those who learn differential equations are in science and engineering jobs like control software engineer, computational fluid dynamics analyst, data scientist, meteorology scientist, and similar weather science roles. You may also find career opportunities in research science, electromagnetics, physics, and electrical engineering positions. Jobs in options trading are also possible if you know differential equations, as traders often use these formulas in software programs to assess a current value or volatility of a particular stock price.‎
Taking online courses in differential equations might help you grasp the fundamentals of first-order differential equations, second-order linear differential equations, and mathematical modeling problems. When you study the key aspects of differential equations in online courses, you may also learn the basics of related scientific and mathematical disciplines of discrete mathematics, linear algebra, and statistical probability.‎