Statistical Physics Course
Gain mastery in statistical physics essentials—ensembles, partition functions, Maxwell-Boltzmann distributions, and entropy—to bridge microscopic behaviour with thermodynamic principles. This sharpens your skills for modelling gases and materials effectively in professional settings, with practical tools for quick estimates and validations.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course offers a straightforward guide from basic ensembles to practical applications in statistical physics. You'll cover microcanonical and canonical methods, partition functions, entropy, and temperature, linking them to kinetic theory, Maxwell-Boltzmann distributions, and calculations like mean free path, collision times, and thermal speeds for better data analysis and model validation in everyday physics tasks.
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Develop skills
- Perform rapid order-of-magnitude estimates for gases and check classical assumptions.
- Calculate Maxwell-Boltzmann speed distributions and identify main thermal speeds.
- Construct microcanonical and canonical ensembles to derive key thermodynamic relations.
- Apply partition functions to find internal energy, free energy, entropy, and pressure in multi-particle systems.
- Explain temperature and entropy at the microscopic level, connecting motion to the second law of thermodynamics.
Suggested summary
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