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  • Tillampad Matematik

Results for "tillämpad matematik"


  • C

    Coursera

    Aprendiendo Python con circuitos digitales

    Skills you'll gain: Object Oriented Programming (OOP), Jupyter, Computer Programming, Python Programming, Program Development, Electronics Engineering, Computational Logic, Simulations, Programming Principles

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Physics 102 - AC Circuits and Maxwell's Equations

    Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Physics, Engineering Analysis, Electronic Systems, Mathematical Modeling, Problem Solving, Applied Mathematics, Advanced Mathematics, Calculus, Trigonometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    46 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    V

    Vanderbilt University

    MATLAB을 사용한 프로그래밍 소개

    Skills you'll gain: Computer Programming, Matlab, Debugging, Linear Algebra, Computer Science, Development Environment, Scripting, User Interface (UI), Data Import/Export, Data Structures, Arithmetic, File Management

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Introduction to Linear Algebra and Python

    Skills you'll gain: Linear Algebra, Applied Mathematics, NumPy, Mathematical Software, Algebra, Data Visualization Software, Jupyter, Mathematical Modeling, Data Science, Python Programming, Data Analysis, Software Installation, Git (Version Control System)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 4 of our most popular tillämpad matematik courses

  • Aprendiendo Python con circuitos digitales: Coursera
  • Physics 102 - AC Circuits and Maxwell's Equations: Rice University
  • MATLAB을 사용한 프로그래밍 소개: Vanderbilt University
  • Introduction to Linear Algebra and Python: Howard University

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