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
SB
Aug 27, 2020
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.
KL
Sep 22, 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.
26 - Statistical Mechanics: Algorithms and Computations 的 50 个评论(共 86 个)
创建者 Bob D
•May 24, 2021
Wonderful course! Professor Krauth, Michael, Alberto, and Vivien present the material clearly and with obvious enthusiasm for the subject. I learned a ton of physical concepts, Python tools, and applications.
创建者 subham b
•Aug 28, 2020
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.
创建者 Le Y
•Mar 30, 2016
Deepen my trust in Monte-Carlo and Markov Chain Monte-Carlo simulation --- exact mimic their analytical counterpart.
Also get the chance to touch the spirit of Quantum Mechanics.
创建者 Matt R
•Aug 2, 2017
Great course, very nice material and supremely interesting assignments. It takes some work to go through the homeworks but it is totally worth it. Great overall course!
创建者 Bingyu Z
•May 29, 2016
The course is self-contained. Very good for people even if they are not physicist. They can still learn a lot about computational methods that are useful in many ways.
创建者 Christian
•May 24, 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...
创建者 Siddhartha S
•Oct 23, 2016
Awesome course for anyone aspiring to learn Statistical mechanics. The problems treated are far from trivial. Instruction and course material is very good
创建者 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.
创建者 Le Q L
•Aug 29, 2018
A good course in introducing statistical mechanics concept with programming! If there are other advanced courses, I'm willing to take!
创建者 Márcio G
•Aug 17, 2016
Curso excelente! professores são bastante didáticos. Parabéns professores pela iniciativa em proporcionar um curso desse nível online.
创建者 Ayan R
•Aug 25, 2021
This course had very engaging assignments and very insightful algorithms to learn! Enjoyed the rigour and the learning of the course!
创建者 Aom S
•Jun 3, 2020
Really challenging course but super informative. Highly recommend for those who want to be a master in Monte Carlo method
创建者 Ning A
•Jan 9, 2017
I learned a lot from all kinds of algorithms that I heard of, but never had the chance to get the clarifications.
创建者 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...
创建者 张成言
•Feb 27, 2023
It's not easy. But you can learn a lot and have much fun if you complete the course!
创建者 Tim B
•Oct 24, 2017
Some of the lessons are very difficult, but if you persevere, it's very rewarding.
创建者 José J B d M
•Apr 8, 2018
It was a very interesting course, both for having a look on Statistical Mechanic
创建者 Constantin J
•Dec 2, 2016
Je viens de terminer l'initiation. Rien à redire. Cours propre et accessible.
创建者 Efren S
•Mar 8, 2018
Most useful course I've had a quite some time. Thank you Monsieur Krauth!
创建者 Philipp K
•Aug 7, 2016
Really good course. Thanks for all that work you put in the lectures.
创建者 Deleted A
•Aug 16, 2016
An exceptionally brilliant course.
Exceptionnel. Nutzlich. Speciale.
创建者 David G
•May 2, 2021
A very interesting course with a lot of hands-on examples!
创建者 Nicolas B
•Mar 23, 2016
Not one of the easiest courses, but extremely interesting!
创建者 Akash K
•Nov 25, 2020
Excellent course to statistical mechanics for Physics
创建者 陈仲权
•May 8, 2022
Very practical course and useful for phd research.