Statistical Mechanics
Algorithms and Computations
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| Rating | 4.7★ based on 68 ratings |
|---|---|
| Length | 11 weeks |
| Starts | Jul 10 (45 weeks ago) |
| Cost | $49 |
| From | École normale supérieure via Coursera |
| Instructor | Werner Krauth |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Engineering Science |
| Tags | Physical Science And Engineering Physics And Astronomy |
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What people are saying
statistical mechanics
Although, for the guys who love statistical mechanics, this course deserve your effects.
You will understand statistical mechanics from a intriguing point of view.
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 Great course, very nice material and supremely interesting assignments.
v Awesome course for anyone aspiring to learn Statistical mechanics.
I (electronics engineer with > 20 years experience) am nearly finished (80%) with the course and believe that I can give a fair and balanced review of Statistical Mechanics: Algorithms and Computations (Feb2014).
Best to have had prior exposure to Statistical Mechanics, and certainly QM.
:D A good course in introducing statistical mechanics concept with programming!
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very interesting
It was a very interesting course, both for having a look on Statistical Mechanic So awesome!
I also bought the book by Werner, it's very well written I very interesting course, the course materials are challenging and is by no means an easy course.
Material is very interesting and the courser work provides great opportunities to try out and build different statistical algorithms.
It's very interesting to follow.
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go through
It's not difficult to go through this course and pass the exam, but it's truly difficult to deeply understand all the materials.
It takes some work to go through the homeworks but it is totally worth it.
understand all
very well
The materials are organized very well and the concepts are illustrated in a clear way.
monte carlo
A great introduction to the ideas of statistical mechanics and Monte Carlo methods.
He begins by imagining children on the beach in Monte Carlo, computing pi by throwing pebbles.If you're looking for a nice set of lectures followed by easy multiple choice questions, this course isn't for you.
loved the first week Excellent introduction to Monte Carlo Algorithms love it Great Course.
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per week
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.
instructor knows his stuff Cons: no slide materials; no free textbook; just 2 videos per week no in-video quizzes for comprehension you better take copious notes of the lectures, since slides were totally absent since HWs are extensions of videos, you suffer hugely if you don’t grok things no feedback whatsoever on early homework submissions (not designed for it) HWs are not reviews: you must grok the material (do you always?)
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python programming
But if you cope with all the problems you will get not bad skills in python programming and overall statistical mechanics understanding.
As an example, I took this course being an engineer with a decent understanding of maths, a less-decent understanding of physics (almost no quantum physics background), and experience with python programming: in my case, it required a lot of effort in order to follow some of the chapters (specially the ones focused in quantum physics), and normally always more than the normal 8 hs/week.
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| Rating | 4.7★ based on 68 ratings |
|---|---|
| Length | 11 weeks |
| Starts | Jul 10 (45 weeks ago) |
| Cost | $49 |
| From | École normale supérieure via Coursera |
| Instructor | Werner Krauth |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Engineering Science |
| Tags | Physical Science And Engineering Physics And Astronomy |
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