ComputationalPhysics

Welcome to computational physics! This is the repository with the syllabus and [notebook_lectures](./notebook_lectures. Other useful links:

• JupyterBook
• This repository official location *[Offitial repository for homeworks and projects] (https://classroom.github.com/classrooms/70040058-comp-phys-fall-2020-wvu-classroom-1)

Topics and links

• Week 1 and 2
  • Google colab
  • Intro to Git
  • How Git Works
  • Introduction to Linux and Shell programming
  • Introduction to Shell programming
• Week 3 and 4
  • Introduction to Python
  • Numpy
  • Matplotlib
• Week 4 and 5
  • Scipy
  • Error Accumulation
  • Databases
• Week 5 and 6
  • Random Numbers
  • Monte Carlo • Random Walk
  • Integration rules
• Week 6 and 7
  • Integration rules • Notes
  • Monte Carlo Integration • Notes
  • Numerical Differentiation
• Week 8 and 9
  • Vectorization • Notes
  • Linear Algebra • String masses: Classic • Final • Sympy
  • Linear Regression • Spline Fit
• Week 10 and 11
  • Example Worksheet
  • Probability_distributions
  • Minimizing and Fitting Probability Distributions
  • Tools for Fitting Probability Distributions
• Week 12
  • Confidence Intervals
  • []The Runge–Kutta Algorithm(https://github.com/ahromero/ComputationalPhysics/blob/master/notebook_lectures/week12/RK.ipynb)
  • Intro to ODEs
• Week 13
  • Solving ODE
  • Fourier Series
  • Fast Fourier Transform
• Week 14 and 15: Fourier Series
  • Signal Filtering
  • Deeper in Fitting
  • Molecular Dynamics