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Statistical Mechanics: Algorithms and Computations

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Coursera

5

(8)

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Course Features

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Duration

16 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

16 hours

Course Description

This course will help you learn a lot about modern Physics, both quantum and classical. You will learn how to download, generalize and create from scratch. You will then discuss your results and submit them. Join us if you are interested in algorithms and the deep insights algorithmic approaches can offer into science.

Course Overview

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Monte Carlo algorithms

Algorithms, exact solutions, thermodynamic limit

Trotter decomposition and quantum time-evolution

Bosonic statistics (with wave functions)

Permutation cycles and ideal Bosons

Ising model - Heat bath algorithm, coupling of Markov chains

Simulated Annealing and the 13-sphere problem

The Alpha and the Omega of Monte Carlo

Course Instructors

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Werner Krauth

Directeur de recherches au CNRS

I am a theoretical physicist, CNRS research director, Director of the Physics Department at Ecole normale supérieure. Visit website for details on vita, research and teaching.

Course Reviews

Average Rating Based on 8 reviews

5.0

100%

Course FAQs

When will I have access to the lectures and assignments?

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