Learner Reviews & Feedback for Statistical Mechanics: Algorithms and Computations by École normale supérieure
About the Course
Top reviews
VS
Jun 17, 2016
Brilliant course, lots of advanced material, pretty much exceptional way of teaching. The difficulty is just right. Appreciate the effort of the team.
DG
May 1, 2021
A very interesting course with a lot of hands-on examples!
76 - 86 of 86 Reviews for Statistical Mechanics: Algorithms and Computations
By kaushal k S
•Dec 24, 2016
good one
By Jamie F
•Dec 2, 2019
love it
By Никитин А М
•Mar 29, 2021
Greate
By 王富强
•Nov 1, 2016
v
By 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.
By 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.
By 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.
By Tomas B
•Feb 8, 2019
Good course. Nice focus on methods over theory.
By GIRISH B
•Oct 19, 2018
Great job!!! :D
By 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).
By 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