Uncover how probability explains the collective behaviour of physical systems.
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Master the connection between microscopic states and macroscopic laws.
Learn how entropy and free energy emerge from statistical principles.
Study classical, Bose–Einstein, and Fermi–Dirac statistics.

Course Overview
Course Overview: Statistical Mechanics
Statistical Mechanics bridges the gap between microscopic particle dynamics and macroscopic thermodynamic laws. Students learn how large ensembles of particles can be described using probability theory, leading to insights into energy distribution, entropy, and phase transitions. The course covers ensembles, partition functions, the Boltzmann distribution, quantum statistics (Bose–Einstein and Fermi–Dirac), and applications to gases, solids, and radiation. By combining statistical reasoning with physical principles, learners gain the ability to explain why thermodynamics works and predict the properties of complex systems.
Master the connection between microscopic states and macroscopic laws.
Learn how entropy and free energy emerge from statistical principles.
Study classical, Bose–Einstein, and Fermi–Dirac statistics.
Apply partition functions to gases, solids, and radiation problems.
Build the groundwork for modern physics, chemistry, and material science.
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Master the connection between microscopic states and macroscopic laws.

Learn how entropy and free energy emerge from statistical principles.

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