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.
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.
par Vimos T•
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.
par Arnav A•
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.
par Chris H•
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.
par Tomas B•
Good course. Nice focus on methods over theory.
par GIRISH B•
Great job!!! :D
par Thomas B•
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).
par TATENDA Y G•
This is one of the most underrated courses I tell you.
Learn this and you will be an expendable Data Scientist