About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 54 hours to complete

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 54 hours to complete

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Monte Carlo algorithms (Direct sampling, Markov-chain sampling)

3 videos (Total 62 min), 2 readings, 2 quizzes
2 readings
Python programs and references10m
Errata (Lecture 1)10m
1 practice exercise
Practice quiz 1: spotting a correct algorithm4m
Week
2
1 hour to complete

Hard disks: From Classical Mechanics to Statistical Mechanics

3 videos (Total 71 min), 1 reading, 2 quizzes
1 reading
Python programs and references10m
1 practice exercise
Practice quiz 2: spotting a correct algorithm (continued)4m
Week
3
1 hour to complete

Entropic interactions and phase transitions

3 videos (Total 62 min), 2 readings, 2 quizzes
2 readings
Python programs and references10m
Errata (Tutorial 3)10m
1 practice exercise
Practice quiz 3: Spotting a correct algorithm (continued)4m
Week
4
1 hour to complete

Sampling and integration

3 videos (Total 69 min), 1 reading, 2 quizzes
4.8
63 ReviewsChevron Right

25%

got a tangible career benefit from this course

33%

got a pay increase or promotion

Top reviews from Statistical Mechanics: Algorithms and Computations

By KLSep 23rd 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.

By YRMar 18th 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.

Instructor

Avatar

Werner Krauth

Directeur de recherches au CNRS
Department of physics

About École normale supérieure

L’École normale supérieure (ENS) est un établissement d'enseignement supérieur pour les études prédoctorales et doctorales (graduate school) et un haut lieu de la recherche française. L'ENS offre à 300 nouveaux étudiants et 200 doctorants chaque année une formation de haut niveau, largement pluridisciplinaire, des humanités et sciences sociales aux sciences dures. Régulièrement distinguée au niveau international, l'ENS a formé 10 médailles Fields et 13 prix Nobel....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

More questions? Visit the Learner Help Center.