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  • Numerical Methods

Results for "numerical methods"


  • Status: Free Trial
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    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Computational Thinking, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    432 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Integral Calculus, Simulation and Simulation Software, Python Programming, Mechanics, Simulations, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    391 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    T

    The Hong Kong University of Science and Technology

    Mathematics for Engineers

    Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Analysis, Numerical Analysis, Integral Calculus, Mathematical Software, Calculus, Engineering Calculations, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Advanced Mathematics, Geometry, Computational Thinking, Simulation and Simulation Software, Mechanics, Scripting

    4.8
    Rating, 4.8 out of 5 stars
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    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

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    S

    Siemens

    Applied Computational Fluid Dynamics

    Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Thermal Management, Hydraulics, Simulations, Numerical Analysis, Energy and Utilities, Mathematical Modeling, Engineering, Model Optimization, Physics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    180 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, General Mathematics, Numerical Analysis, Mathematical Modeling, Algebra, Cryptography, Logical Reasoning, Geometry, Deductive Reasoning

    4.2
    Rating, 4.2 out of 5 stars
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    280 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Applied Calculus with Python

    Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Plot (Graphics), Graphing, Numerical Analysis, Python Programming, Mathematical Software, Software Visualization, Algebra, Derivatives, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    46 reviews

    Intermediate · Course · 1 - 3 Months

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    U

    University of Michigan

    The Finite Element Method for Problems in Physics

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Mathematical Software, Numerical Analysis, Mathematical Modeling, C++ (Programming Language), Structural Engineering, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
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    564 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
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    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Mathematical Software, Code Reusability, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Data Analysis, Computer Programming, Model Optimization

    4.8
    Rating, 4.8 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Applied Math for Materials Science and Engineering (Part 2)

    Skills you'll gain: Mathematical Modeling, Integral Calculus, Applied Mathematics, Engineering Analysis, Advanced Mathematics, Calculus, Mathematical Theory & Analysis, Differential Equations, Mechanics, Trigonometry, Engineering, Geometry, Electrical Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Mechanical Vibration

    Skills you'll gain: Vibrations, Matlab, Engineering Analysis, Mechanical Engineering, Mechanical Design, Mathematical Software, Applied Mathematics, Mechanics, Differential Equations, Mathematical Modeling, Control Systems

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    B

    Board Infinity

    Prepare for CFA Level 1: Quantitative Methods and Returns

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular numerical methods courses

  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • Mathematics for Engineers: The Hong Kong University of Science and Technology
  • Applied Computational Fluid Dynamics: Siemens
  • Mathematics for Computer Science: University of London
  • Applied Calculus with Python: Johns Hopkins University
  • The Finite Element Method for Problems in Physics: University of Michigan
  • Introduction to Python for Scientific Computing: University of Colorado Boulder
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Applied Math for Materials Science and Engineering (Part 2): Korea Advanced Institute of Science and Technology(KAIST)

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