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.
por Kunal L
•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.
por jadoul m
•Nov 02, 2018
One of the three best MOOCs I have seen.
por Yessimzhan R
•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.
por Nazarov A P
•Apr 12, 2017
Prepare yourself for the fact that if you want to really understand all the programs and theory in this course you will need at at least 8 hours per week. But if you cope with all the problems you will get not bad skills in python programming and overall statistical mechanics understanding.
por Robert F
•May 27, 2016
Material is very interesting and the courser work provides great opportunities to try out and build different statistical algorithms. You don't need a background in physics but I think it would help to fully grasp the materials.
por Ahmad M
•Jan 31, 2019
i love this course, but most codes were not properly explained and rather difficult to tweak.
por Marcus S
•Mar 27, 2017
Nice but demanding course. No course certficate is available after passing the course...
por Marc Z
•Oct 13, 2017
Very didactic!
por wali_1314
•Oct 10, 2017
brilliant!!!
por Mehdi H
•Mar 08, 2018
I really enjoyed the course. The only problem was that I was using python 3+ and the programs were written with python 2+. There are some minor differences but I figured the them easily.
por Philipp K
•Aug 07, 2016
Really good course. Thanks for all that work you put in the lectures.
por Kaushal k
•Dec 24, 2016
good one
por Michele G
•Mar 05, 2018
This is a really great course! The concepts proposed here are kind of advanced for non physicists (and a full understanding of all the theory beyod it would require much more than 2 and a half months!), but the course is so well managed and the lecturers are so good that I think that most graduate people from semi-thechnical fields can keep up and be very satisfied about everything!
por Deleted A
•Jul 30, 2016
This course was awesome! Although, I can tell I'll need another pass at it to understand things more fully...
por Teng
•Jun 05, 2017
A good combination of physics and programming.
por Beakal A
•Dec 06, 2017
I very interesting course, the course materials are challenging and is by no means an easy course. But in the end it is very rewarding when you understand them. You will understand statistical mechanics from a intriguing point of view. A must take course, if you want to take your physics and computations to another level.
por shifan
•Oct 14, 2016
Excellent online lecture, the best I have ever taken.
por Красавин А В
•Jun 11, 2016
Brilliant course!
por Constantin J
•Dec 02, 2016
Je viens de terminer l'initiation. Rien à redire. Cours propre et accessible.
por JeRuiChang
•Oct 22, 2016
great and succinct course
por Volodymyr S
•Jun 18, 2016
Brilliant course, lots of advanced material, pretty much exceptional way of teaching. The difficulty is just right. Appreciate the effort of the team.
por 霍永学
•Mar 25, 2018
So awesome! This is a marvelous course!
por Marcio G
•Aug 17, 2016
Curso excelente! professores são bastante didáticos. Parabéns professores pela iniciativa em proporcionar um curso desse nível online.
por Siddhartha S
•Oct 24, 2016
Awesome course for anyone aspiring to learn Statistical mechanics. The problems treated are far from trivial. Instruction and course material is very good
por Lifeng H
•Jan 15, 2017
great course. wish could cover more physics