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    • 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

      Korea Advanced Institute of Science and Technology(KAIST)

      Korea Advanced Institute of Science and Technology(KAIST)

      Differential Equations Part I Basic Theory

      您將獲得的技能: Differential Equations, Mathematics

      4.7

      (1.2k 條評論)

      Beginner · Course

    • The Hong Kong University of Science and Technology

      The Hong Kong University of Science and Technology

      Differential Equations for Engineers

      您將獲得的技能: Differential Equations, Mathematics, Calculus

      4.9

      (1.8k 條評論)

      Beginner · Course

    • Korea Advanced Institute of Science and Technology(KAIST)

      Korea Advanced Institute of Science and Technology(KAIST)

      Differential Equations Part II Series Solutions

      Beginner · Course

    • The Hong Kong University of Science and Technology

      The Hong Kong University of Science and Technology

      Mathematics for Engineers

      您將獲得的技能: Algebra, Calculus, Data Analysis, Data Analysis Software, Differential Equations, Linear Algebra, Linearity, Mathematical Theory & Analysis, Mathematics, Modal Μ-Calculus

      4.8

      (6.1k 條評論)

      Beginner · Specialization

    • 免費

      University of Maryland, College Park

      University of Maryland, College Park

      Exploring Quantum Physics

      您將獲得的技能: Differential Equations, Mathematics, Theoretical Computer Science, Applied Mathematics, Machine Learning, Tailored Access Operations, Calculus, Linear Algebra, Deep Learning, Mathematical Theory & Analysis, Algorithms, Probability & Statistics

      4.2

      (48 條評論)

      Mixed · Course

    • 免費

      University of Geneva

      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

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      Icahn School of Medicine at Mount Sinai

      Icahn School of Medicine at Mount Sinai

      Dynamical Modeling Methods for Systems Biology

      您將獲得的技能: Machine Learning, Data Visualization, History, Modeling, Analysis, Feature Engineering, Matlab

      4.7

      (199 條評論)

      Mixed · Course

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      Imperial College London

      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

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      University of Colorado Boulder

      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

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      University of Colorado Boulder

      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      您將獲得的技能: Business Analysis, Calculus, Differential Equations, General Statistics, Inference, Mathematics, Probability & Statistics, Probability Distribution, Spreadsheet Software, Statistical Tests

      4.3

      (79 條評論)

      Intermediate · Specialization

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      Northwestern University

      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

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      University of Colorado Boulder

      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
    1234…7

    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.‎

    此常見問題解答內容僅供參考。建議學生多做研究,確保所追求的課程和其他證書符合他們的個人、專業和財務目標。
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