Statistical Thermodynamics by Michel Van Biezen

About this course

Statistical thermodynamics is where the rules of probability and the behavior of enormous numbers of particles meet to explain the laws you see in everyday thermodynamics. In this free online course, you will learn to translate between microscopic pictures of matter and macroscopic quantities such as multiplicity, probability, and entropy, so the second law stops feeling like a slogan and starts feeling inevitable.

The lessons guide you from the first essential vocabulary and purpose of the field into the core habit of thinking in terms of microstates and macrostates. By working through classic two-state models and coin-toss analogies, you will build a reliable intuition for what it means for a distribution to be likely, why a system naturally drifts toward the most probable macrostate, and how sharply that probability peak grows as the number of particles increases. Along the way, you will use tools like Stirling’s approximation to handle the huge numbers that appear in real systems, and you will see why approximation is not a shortcut but the key that makes large-N physics readable.

As you progress, entropy becomes more than a definition: it becomes a count. You will connect entropy to multiplicity and use that connection to reason about mixing, free expansion, and the difference between something being impossible versus merely astronomically unlikely. Thought experiments with molecules in compartments make the statistical meaning of equilibrium tangible, while guided exercises help you practice turning a physical situation into a counting problem and then into a thermodynamic conclusion.

The course also bridges into quantum ideas that underlie modern statistical physics, including energy levels, degeneracy, and particle distributions across quantized states. By relating confinement, energy spacing, and volume scaling in simple potential well models, you gain a clearer picture of how microscopic constraints shape macroscopic behavior. If you are studying physics as a school subject, preparing for exams, or strengthening fundamentals for chemistry, engineering, or materials science, this course offers a rigorous, practice-driven path to confident reasoning in statistical thermodynamics.