Free Course Image Statistical Mechanics

Free online courseStatistical Mechanics

Duration of the online course: 35 hours and 54 minutes

New

Build real intuition for heat, entropy and quantum gases in this free online physics course, with practice questions to reinforce statistical mechanics.

In this free course, learn about

  • Apply the 1st and 3rd laws of thermodynamics; interpret energy conservation and entropy at T→0
  • Define thermodynamic systems, boundaries, state variables, and equilibrium assumptions
  • Analyze efficient thermodynamic cycles and the key concepts behind maximizing performance
  • Use probability tools: Gaussian distribution properties and unbiased probability assignment principles
  • Use ensembles and ensemble density to connect microstates to macroscopic thermodynamic quantities
  • Explain kinetic theory foundations, including Poisson brackets and approach to equilibrium
  • Formulate and interpret the Boltzmann equation for dilute gases and what solving it achieves
  • Use Liouville-type evolution equations for gas particle probability density in phase space
  • Distinguish microcanonical vs canonical ensembles and what constraints each specifies
  • Analyze interacting particle models, including van der Waals critical ratio PcVc/(kBTc)=3/8
  • Explain classical statistical mechanics failures motivating quantum mechanics (e.g., equipartition)
  • Work with quantum density matrices; distinguish pure vs mixed quantum states
  • Derive ideal quantum gas behavior: particle-in-a-box energies, pressure–density in grand canonical form
  • Differentiate bosons vs fermions, BEC consequences, and superfluid helium’s hallmark properties

Course Description

Statistical mechanics is where everyday thermal phenomena meet the microscopic world. If you have ever wondered why heat flows in one direction, what entropy really measures, or how pressure emerges from countless particle collisions, this course helps you connect the dots with clear physical reasoning and the mathematical tools that support it.

You will begin by strengthening your thermodynamics foundation, learning to describe a system through state variables, energy balance, and the meaning of the laws of thermodynamics beyond memorized statements. From there, the course shifts to probability, showing how distributions arise, what typical behavior means in large systems, and how unbiased assumptions guide predictions when you have incomplete information.

With that toolkit in place, you will build a kinetic picture of gases: how microscopic motion produces macroscopic equations of state, why equilibrium is a special limit, and how evolution toward equilibrium can be framed through statistical ideas. Along the way, you develop an intuition for how models link with measurable quantities, and what it means to describe a system using a density over states rather than tracking each particle individually.

Next, the course develops classical statistical mechanics through the language of ensembles, helping you see how different constraints lead to different, but consistent, descriptions of the same physics. You then explore interacting particles and learn how real materials depart from idealized behavior, gaining insight into why phase transitions and non-ideal equations of state matter in practice.

Finally, the course transitions to quantum statistical mechanics, where new principles reshape the rules of counting and probability. You will learn how the density matrix captures uncertainty and mixture, how pure and mixed states differ, and why quantum statistics splits into fermions and bosons with dramatically different outcomes. By the end, topics such as ideal quantum gases, degeneracy pressure, Bose-Einstein condensation, and superfluidity feel less like isolated buzzwords and more like logical consequences of a coherent framework.

Each lesson is paired with questions that let you check understanding immediately, making this a strong option for students who want to sharpen physics skills for school, exam preparation, or a deeper grasp of modern thermal and quantum phenomena.

Course content

  • Video class: 1. Thermodynamics Part 1 1h26m
  • Exercise: What is the primary function of the first law of thermodynamics?
  • Video class: 2. Thermodynamics Part 2 1h23m
  • Exercise: What is the main consideration when studying systems in thermodynamics?
  • Video class: 3. Thermodynamics Part 3 1h23m
  • Exercise: What is a key concept introduced for efficient thermodynamic cycles?
  • Video class: 4. Thermodynamics Part 4 1h18m
  • Exercise: What is the primary focus of the video?
  • Video class: 5. Probability Part 1 1h21m
  • Exercise: What is the significance of the Third Law of Thermodynamics?
  • Video class: 6. Probability Part 2 1h24m
  • Exercise: What is true about a Gaussian distribution?
  • Video class: 7. Kinetic Theory of Gases Part 1 1h18m
  • Exercise: What is the main concept used to assign unbiased probabilities?
  • Video class: 8. Kinetic Theory of Gases Part 2 1h15m
  • Exercise: What is the main function of the ensemble density in thermodynamics?
  • Video class: 9. Kinetic Theory of Gases Part 3 1h25m
  • Exercise: What is the significance of the Poisson Bracket in kinetic theory?
  • Video class: 10. Kinetic Theory of Gases Part 4 1h25m
  • Exercise: What principle is contradicted by the practical behavior of gas expansion?
  • Video class: 11. Kinetic Theory of Gases Part 5 1h22m
  • Exercise: What concept in the video reflects the transition to equilibrium in a gas?
  • Video class: 12. Classical Statistical Mechanics Part 1 1h25m
  • Exercise: What is the primary goal of solving the Boltzmann equation in the context of a dilute gas?
  • Video class: 13. Classical Statistical Mechanics Part 2 1h22m
  • Exercise: What equation describes the evolution of gas particle probability density?
  • Video class: 14. Classical Statistical Mechanics Part 3 1h25m
  • Exercise: What is a microcanonical ensemble?
  • Video class: 15. Interacting Particles Part 1 1h25m
  • Exercise: What does the canonical ensemble specify in statistical mechanics?
  • Video class: 16. Interacting Particles Part 2 1h22m
  • Exercise: What is the main focus of the video transcript?
  • Video class: 17. Interacting Particles Part 3 1h23m
  • Exercise: What is the main focus of the professor's discussion on thermodynamics?
  • Video class: 18. Interacting Particles Part 4 1h24m
  • Exercise: What is the dimensionless ratio of PcVc/kBTc for the van der Waals equation?
  • Video class: 19. Interacting Particles Part 5 1h19m
  • Exercise: What was a key difficulty in classical statistical mechanics that led to the development of quantum mechanics?
  • Video class: 20. Quantum Statistical Mechanics Part 1 1h23m
  • Exercise: What is the correct statement about the quantum density matrix?
  • Video class: 21. Quantum Statistical Mechanics Part 2 1h23m
  • Exercise: What distinguishes a pure quantum state from a mixed one?
  • Video class: 22. Ideal Quantum Gases Part 1 1h20m
  • Exercise: What is the correct energy formula for a one-particle system in a box?
  • Video class: 23. Ideal Quantum Gases Part 2 1h23m
  • Exercise: What describes the dependence of pressure on density for a quantum gas in the grand canonical ensemble?
  • Video class: 24. Ideal Quantum Gases Part 3 1h23m
  • Exercise: What distinguishes fermions from bosons in quantum mechanics and their occupation rules?
  • Video class: 25. Ideal Quantum Gases Part 4 1h22m
  • Exercise: What phenomenon does Bose-Einstein Condensation lead to?
  • Video class: 26. Ideal Quantum Gases Part 5 1h21m
  • Exercise: What is a unique property of superfluid helium?

This free course includes:

35 hours and 54 minutes of online video course

Digital certificate of course completion (Free)

Exercises to train your knowledge

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