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Computers, Waves, Simulations: Numerical Methods with Python
Coursera
Course
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Computers, Waves, Simulations: Numerical Methods with Python

Ludwig-Maximilians-Universität München (LMU)

Learn to solve partial differential equations using numerical methods and implement algorithms in Python within Jupyter notebooks.

Unknown9 weeksEnglish

About this Course

Interested in learning how to solve partial differential equations with numerical methods and how to turn them into python codes? This course provides you with a basic introduction how to apply methods like the finite-difference method, the pseudospectral method, the linear and spectral element method to the 1D (or 2D) scalar wave equation. The mathematical derivation of the computational algorithm is accompanied by python codes embedded in Jupyter notebooks. In a unique setup you can see how th

What You'll Learn

  • Solve partial differential equations with numerical methods
  • Understand simulation limits by stability and sampling criteria
  • Plan and set up sophisticated simulation tasks
  • Avoid errors in simulation results

Instructors

H

Heiner Igel

Earth and Environmental Sciences

Topics

Simulations
Jupyter
Engineering Calculations
Engineering Analysis
Differential Equations
Mechanics
Finite Element Methods
Applied Mathematics
Numerical Analysis
Mathematical Modeling

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

المحاكاة
Jupyter
الحسابات الهندسية
التحليل الهندسي
المعادلات التفاضلية
الميكانيكا
طرق العنصر المحدود
الرياضيات التطبيقية
Numerical Analysis
Mathematical Modeling

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