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.
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.
Jun 05, 2017
A good combination of physics and programming.
Aug 28, 2017
Engage students with the world of Statistical Mechanics by making hands dirty. One needs to have some basics in Quantum Mechanics or Thermodynamics in order to make sense of what have been done. Not sufficient mathematical proof and intuition could be found in Professor's textbook, although it is good to have it free. The solutions to Newton's packing problem is a kind of surprise. Not sufficient conclusions to problems like with and without boundaries; one-half rules; violation of tabula rasa rules; rejection-free direct sampling to avoid Metropolis Algorithm; simulated annealing. These gaps need to be filled in order to make it more self-sufficient. But still it is a very sincere effort to promote this branch of Physics to the world. It is very transferable to Mathematical Finance and Artificial Intelligence.
автор: Erik P•
Aug 20, 2017
Very clear and very interesting! The exercises are a bit difficult (especially for me that I'm only a beginner in Python) but it's a powerful introduction to computational condensed matter physics!
I suggest it for people that already has the rudiments of Mechanics, Statistical Mechanics and algorithmic approach to every-day problems
автор: Jose M T c•
Aug 08, 2019
Great Course. Thank you
автор: Tomas B•
Feb 08, 2019
Good course. Nice focus on methods over theory.
автор: GIRISH B•
Oct 19, 2018
Great job!!! :D
автор: 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.
автор: 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.
автор: 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.
автор: 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
автор: 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).