About this Course

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Learner Career Outcomes

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Start instantly and learn at your own schedule.
Flexible deadlines
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Approx. 16 hours to complete
English

Learner Career Outcomes

25%

got a tangible career benefit from this course

33%

got a pay increase or promotion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 16 hours to complete
English

Offered by

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École normale supérieure

Syllabus - What you will learn from this course

Content RatingThumbs Up95%(1,511 ratings)Info
Week
1

Week 1

2 hours to complete

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

2 hours to complete
3 videos (Total 62 min), 2 readings, 2 quizzes
3 videos
Tutorial 1: Exponential convergence and the 3x3 pebble game32m
Homework Session 1: From the one-half rule to the bunching method1m
2 readings
Python programs and references10m
Errata (Lecture 1)10m
1 practice exercise
Practice quiz 1: spotting a correct algorithm30m
Week
2

Week 2

2 hours to complete

Hard disks: From Classical Mechanics to Statistical Mechanics

2 hours to complete
3 videos (Total 71 min), 1 reading, 2 quizzes
3 videos
Tutorial 2: Equiprobability, partition functions, and virial expansions for hard disks32m
Homework Session 2: Paradoxes of hard-disk simulations in a box2m
1 reading
Python programs and references10m
1 practice exercise
Practice quiz 2: spotting a correct algorithm (continued)30m
Week
3

Week 3

2 hours to complete

Entropic interactions and phase transitions

2 hours to complete
3 videos (Total 62 min), 2 readings, 2 quizzes
3 videos
Tutorial 3: Algorithms, exact solutions, thermodynamic limit31m
Homework Session 3: Two-dimensional liquids and solids2m
2 readings
Python programs and references10m
Errata (Tutorial 3)10m
1 practice exercise
Practice quiz 3: Spotting a correct algorithm (continued)30m
Week
4

Week 4

2 hours to complete

Sampling and integration

2 hours to complete
3 videos (Total 69 min), 1 reading, 2 quizzes
3 videos
Tutorial 4: Sampling discrete and one-dimensional distributions34m
Homework Session 4: Sampling and integration in high dimensions2m
1 reading
Python programs and references10m
1 practice exercise
Practice quiz 4: four disks in a box30m

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