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Opiniones y comentarios de aprendices correspondientes a Statistical Mechanics: Algorithms and Computations por parte de École normale supérieure

4.8
183 calificaciones
63 revisiones

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In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that you will download, generalize, or write from scratch, discuss, and then hand in. Join in if you are curious (but not necessarily knowledgeable) about algorithms, and about the deep insights into science that you can obtain by the algorithmic approach....

Principales revisiones

KL

Sep 23, 2017

Excellent and enthusiastic lectures and tutorials covering a number of topics. Much of the learning took place in the assignments where the concepts were applied and various points were illustrated.

YR

Mar 18, 2017

I really like this course also I am only confused by my knowledge in computing because this course is very high rated in sense of detailed explanation and easy to follow through difficult themes.

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51 - 61 de 61 revisiones para Statistical Mechanics: Algorithms and Computations

por Ji T

Jul 28, 2016

这门课非常有趣!很注重动(码)手(代)实(码)践!

por Wenting T

Mar 23, 2016

great course and clever instruction!

por José J B d M

Apr 08, 2018

It was a very interesting course, both for having a look on Statistical Mechanic

por Jose M T c

Aug 08, 2019

Great Course. Thank you

por Tomas B

Feb 08, 2019

Good course. Nice focus on methods over theory.

por GIRISH B

Oct 19, 2018

Great job!!! :D

por Arnav A

Jun 30, 2017

Lot of difficult and important concepts presented in a fun and intuitive way, which is characteristic of a good physics course. The homeworks very effectively complement the lectures and also help clarifying doubts. Thank you very much for offering this course on Coursera. I am grateful to the team for your hard work in making this course such fun.

por Vimos T

Aug 09, 2016

I like this course very much, I dropped out once because some of the homework questions are not quite obvious for me. After refer to other material, I survived the course. Frankly speaking, I am still not familiar with most of the contents. But this course displayed a vivid picture of MCMC. I will keep learning the subject in the future.

The discussion session is too quiet, maybe I should have asked more questions.

por Chris H

Apr 17, 2017

The lectures are great, and the material covered is awesome. I do not own a copy of the accompanied textbook, but I imagine that this course would be even better if I did.

Sometimes the homework sessions felt a little contrived - but I am fairly certain that this was just an artifact of making them peer-gradable.

por TATENDA Y G

Dec 27, 2018

This is one of the most underrated courses I tell you.

Learn this and you will be an expendable Data Scientist

por Thomas B

Jun 04, 2018

It's very interesting to follow. However most of the lectures are very slow and reiterative except when more info is needed (e.g. detailed math).