学生对 École normale supérieure 提供的 Statistical Mechanics: Algorithms and Computations 的评价和反馈
课程概述
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SB
Aug 27, 2020
This is a really good course for the introduction of computational methods in statistical physics. Quite a few topics are covered and very subtle and efficient algorithms are developed and discussed.
KL
Sep 22, 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.
76 - Statistical Mechanics: Algorithms and Computations 的 86 个评论（共 86 个）
创建者 kaushal k S
•Dec 24, 2016
good one
创建者 Jamie F
•Dec 2, 2019
love it
创建者 Никитин А М
•Mar 29, 2021
Greate
创建者 王富强
•Nov 1, 2016
v
创建者 Vimos T
•Aug 8, 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.
创建者 Arnav A
•Jun 29, 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.
创建者 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.
创建者 Tomas B
•Feb 8, 2019
Good course. Nice focus on methods over theory.
创建者 GIRISH B
•Oct 19, 2018
Great job!!! :D
创建者 Thomas B
•Jun 4, 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).
创建者 TATENDA Y G
•Dec 26, 2018
This is one of the most underrated courses I tell you.
Learn this and you will be an expendable Data Scientist