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Massachusetts Institute of Technology via YouTube Video playlist

MIT 8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2013

Overview

View the complete course: http://ocw.mit.edu/8-333F13

Instructor: Mehran Kardar

Statistical Mechanics is a probabilistic approach to equilibrium properties of large numbers of degrees of freedom. In this two-semester course, basic principles are examined. Topics include: Thermodynamics, probability theory, kinetic theory, classical statistical mechanics, interacting systems, quantum statistical mechanics, and identical particles.

License: Creative Commons BY-NC-SA

More information at http://ocw.mit.edu/terms

More courses at http://ocw.mit.edu

Videos in this playlist 26

  1. 1. Thermodynamics Part 1
  2. 2. Thermodynamics Part 2
  3. 3. Thermodynamics Part 3
  4. 4. Thermodynamics Part 4
  5. 5. Probability Part 1
  6. 6. Probability Part 2
  7. 7. Kinetic Theory of Gases Part 1
  8. 8. Kinetic Theory of Gases Part 2
  9. 9. Kinetic Theory of Gases Part 3
  10. 10. Kinetic Theory of Gases Part 4
  11. 11. Kinetic Theory of Gases Part 5
  12. 12. Classical Statistical Mechanics Part 1
  13. 13. Classical Statistical Mechanics Part 2
  14. 14. Classical Statistical Mechanics Part 3
  15. 15. Interacting Particles Part 1
  16. 16. Interacting Particles Part 2
  17. 17. Interacting Particles Part 3
  18. 18. Interacting Particles Part 4
  19. 19. Interacting Particles Part 5
  20. 20. Quantum Statistical Mechanics Part 1
  21. 21. Quantum Statistical Mechanics Part 2
  22. 22. Ideal Quantum Gases Part 1
  23. 23. Ideal Quantum Gases Part 2
  24. 24. Ideal Quantum Gases Part 3
  25. 25. Ideal Quantum Gases Part 4
  26. 26. Ideal Quantum Gases Part 5

Advantages and disadvantages

Advantages

  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
  • 1,104,495 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (26 videos) you can see before you start.
  • Start watching right away, no sign-up.

Disadvantages

  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • No certificate.
  • No graded assignments or feedback.

Some points apply to every course of this kind; see how we rank.

Free

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  • Certificate: None. Code or take notes along to make it stick.

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