学生对 École normale supérieure 提供的 Statistical Mechanics: Algorithms and Computations 的评价和反馈
课程概述
热门审阅
CC
May 23, 2020
High quality, very well explained, but if you are like me, a non-physicist mainly interested in the statistical part, you might get slightly lost at times...
AR
Aug 24, 2021
This course had very engaging assignments and very insightful algorithms to learn! Enjoyed the rigour and the learning of the course!
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