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Statistical Mechanics: Algorithms and Computations
Image: coursera.org
#218 overall

Statistical Mechanics: Algorithms and Computations

Coursera

2 recommenders · 3 threads · recommended in 3 years, 2016–2024 · score 2.0

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A Coursera course on statistical mechanics that teaches the subject through computation, with Python programs for simulating physical systems and Markov chain Monte Carlo methods. It is taught by Daniel Schroeder-style physics lecturers at an intermediate university level, with a focus on building simulations step by step.

Commenters call it an excellent, highly recommended course with clear explanations and many Python programs, and one calls its first lecture a favorite introduction to Markov chain Monte Carlo.

Science & Engineeringintermediatefreevideo lectures#statistical mechanics#monte carlo#markov chains#python#simulation

Recommendations by year

20062026

What commenters said (3)

  1. Strongly recommendsmaurits2016in “Markov Chain Monte Carlo Sampling”

    I highly recommend the coursera stat mech course. Professionally filmed against a green screen, clear explanations and a massive amount of python programs to illustrate it all.

  2. Recommendskevmo3142024in “A simplified Python simulation of diffusion”

    There's an excellent statistical mechanics course on Coursera that goes through these steps: https://www.coursera.org/learn/statistical-mechanics

    It uses python and had a mindblowing moment when I realized how the simulation I wrote connected to the world, making it one of the few I actually managed to finish. As you alluded to, the lecturers definitely hint that simpler code is easier to work with as the later stuff becomes impossibly complex with anything more.

  3. Recommendsmaurits2019in “Ask HN: Best place to start learning about Markov Chains?”

    My personal favorite introduction to MC(MC) is lecture 1 of statistical mechanics and computations [1]

    [1]: https://www.coursera.org/learn/statistical-mechanics

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