Free Course Image Computational Physics in Python

Free online courseComputational Physics in Python

Duration of the online course: 35 hours and 45 minutes

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Explore Computational Physics with Python in this free online course from Rutgers: comprehensive, insightful, and perfect for learners in physics.

In this free course, learn about

  • Python Foundations and Computational Setup
  • High-Performance Python and Toolchain
  • Core Python Data Structures and Numerical Tools
  • Differential Equations and Root Finding
  • Quantum Mechanics and Schrödinger Equation Methods
  • Monte Carlo Integration and Importance Sampling
  • Monte Carlo Methods in Statistical Physics
  • Global Optimization and Simulated Annealing

Course Description

Unlock the fascinating world of Computational Physics through a comprehensive online course focusing on Python programming. This engaging program is designed for those looking to bridge the gap between practical physics applications and computational techniques. Dive into a 26-part lecture series originating from Rutgers University, offering an insightful exploration of physics concepts reinforced through Python coding.

The course is structured to guide learners through various topics in computational physics, providing a foundational understanding necessary for tackling complex physical systems using Python. Each lecture builds upon the last, ensuring a thorough grasp of the material as participants progress through the series.

Whether you're a beginner in the field of physics looking to enhance your computational skills or an enthusiast eager to deepen your understanding, this course serves as an invaluable resource. Learn to apply Python in solving physics problems and develop a strong analytical skill set widely applicable in academic and professional contexts.

By the end of this course, learners will have gained experience in computational approaches to physics, empowering them with the knowledge to explore further topics in the field. Join today and start your journey into the realm of Computational Physics with Python, directly from one of the leading institutions.

Course content

  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 1 1h17m
  • Exercise: What happens to the record button when screen sharing starts?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 2 1h14m
  • Exercise: What determines if a point is in the Mandelbrot set?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 3 1h19m
  • Exercise: Which Python library is used for fast numerical operations involving multiple loops?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 4 1h23m
  • Exercise: What does F2Py compiler in Python help with?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 5 1h21m
  • Exercise: What is the main purpose of a Makefile in programming?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 6 1h34m
  • Exercise: How does OpenMP handle parallelism for multi-core processors?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 7 1h30m
  • Exercise: What is the key challenge in calculating Bessel functions numerically?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 8 1h21m
  • Exercise: Which data type in Python allows keys to be more generic, including tuples of integers?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 9 1h22m
  • Exercise: Understanding Python Class Variables
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 10 1h23m
  • Exercise: How to access specific data using NumPy slicing techniques?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 11 1h24m
  • Exercise: What is the purpose of using different methods in solving Ordinary Differential Equations (ODEs) with Skype?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 12 1h17m
  • Exercise: What method is used to solve the multi-dimensional root finding problem in Python's SciPy library?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 13 1h26m
  • Exercise: What is a more stable approach for integrating functions that decrease exponentially fast when solving the Schrödinger equation?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 14 1h23m
  • Exercise: What method is particularly suited for solving the Schrödinger equation?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 15 1h19m
  • Exercise: What is a key difference between solving a hydrogen atom problem and an LDA atomic problem?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 16 1h25m
  • Exercise: What is a common error scaling when using Monte Carlo methods for high-dimensional integrals?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 17 1h23m
  • Exercise: What is considered the best weight function in a Monte Carlo integration using importance sampling?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 18 1h21m
  • Exercise: What is a key feature of the Vegas algorithm as discussed in the class?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 19 1h25m
  • Exercise: What is the primary approach used in the function to reduce noise?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 20 1h21m
  • Exercise: Understanding Changes in the Vegas Algorithm Implementation
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 21 1h23m
  • Exercise: What is the key concept of Monte Carlo importance sampling?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 22 1h20m
  • Exercise: What determines the acceptance of spin flips in Ising model simulations?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 23 1h21m
  • Exercise: What is the advantage of moving through energy space in the Juan Plundo Algorithm?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 24 1h22m
  • Exercise: What is the primary challenge when using gradient methods for finding a global minimum in complex functions?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 25 1h17m
  • Exercise: What is the purpose of adding a known function in high dimensional integration using a Markov Chain?
  • Video class: Computational Physics in Python, Rutgers University, 2021, lecture 26 1h22m
  • Exercise: What is the primary goal of the simulated annealing process in the traveling salesman problem outlined in the transcript?

This free course includes:

35 hours and 45 minutes of online video course

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