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Отзывы учащихся о курсе Статистическая механика: алгоритмы и вычисления от партнера Высшая нормальная школа

Оценки: 233
Рецензии: 78

О курсе

In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that you will download, generalize, or write from scratch, discuss, and then hand in. Join in if you are curious (but not necessarily knowledgeable) about algorithms, and about the deep insights into science that you can obtain by the algorithmic approach....

Лучшие рецензии

27 авг. 2020 г.

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.

22 сент. 2017 г.

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.

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26–50 из 76 отзывов о курсе Статистическая механика: алгоритмы и вычисления

автор: Bingyu Z

29 мая 2016 г.

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.

автор: Christian

24 мая 2020 г.

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...

автор: Siddhartha S

23 окт. 2016 г.

Awesome course for anyone aspiring to learn Statistical mechanics. The problems treated are far from trivial. Instruction and course material is very good

автор: Volodymyr S

18 июня 2016 г.

Brilliant course, lots of advanced material, pretty much exceptional way of teaching. The difficulty is just right. Appreciate the effort of the team.

автор: Le Q L

29 авг. 2018 г.

A good course in introducing statistical mechanics concept with programming! If there are other advanced courses, I'm willing to take!

автор: Márcio G d S

17 авг. 2016 г.

Curso excelente! professores são bastante didáticos. Parabéns professores pela iniciativa em proporcionar um curso desse nível online.

автор: Aom S

3 июня 2020 г.

Really challenging course but super informative. Highly recommend for those who want to be a master in Monte Carlo method

автор: Ning A

10 янв. 2017 г.

I learned a lot from all kinds of algorithms that I heard of, but never had the chance to get the clarifications.

автор: Deleted A

30 июля 2016 г.

This course was awesome! Although, I can tell I'll need another pass at it to understand things more fully...

автор: Tim B

24 окт. 2017 г.

Some of the lessons are very difficult, but if you persevere, it's very rewarding.

автор: José J B d M

8 апр. 2018 г.

It was a very interesting course, both for having a look on Statistical Mechanic

автор: Constantin J

2 дек. 2016 г.

Je viens de terminer l'initiation. Rien à redire. Cours propre et accessible.

автор: Efren S

9 мар. 2018 г.

Most useful course I've had a quite some time. Thank you Monsieur Krauth!

автор: Philipp K

7 авг. 2016 г.

Really good course. Thanks for all that work you put in the lectures.

автор: Gavin C

16 авг. 2016 г.

An exceptionally brilliant course.

Exceptionnel. Nutzlich. Speciale.

автор: Nicolas B

23 мар. 2016 г.

Not one of the easiest courses, but extremely interesting!

автор: Akash K

25 нояб. 2020 г.

Excellent course to statistical mechanics for Physics

автор: Kwan-Yuet H

23 авг. 2018 г.

Highly recommended. Old subjects with new technology!

автор: shifan

14 окт. 2016 г.

Excellent online lecture, the best I have ever taken.

автор: Philippe S

29 апр. 2017 г.

I learned a bunch of things, thank you very much.

автор: Elias

18 дек. 2019 г.

Excellent introduction to Monte Carlo Algorithms

автор: Monika K

2 авг. 2016 г.

Way over my head but hope to keep working at it.

автор: Teng

4 июня 2017 г.

A good combination of physics and programming.

автор: Tanmay T

13 окт. 2020 г.

Excellent Course and Structure. Learnt a lot.

автор: Lifeng H

15 янв. 2017 г.

great course. wish could cover more physics