Statistical Physics Course
This course builds expertise in statistical physics essentials including ensembles, partition functions, Maxwell-Boltzmann distributions, and entropy, linking microscopic behaviour to thermodynamic principles for modelling gases and materials in professional settings. It equips learners with tools for quick validations and real-world applications in physics.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain a practical understanding of statistical physics, covering ensembles, partition functions, entropy, temperature, kinetic theory, Maxwell-Boltzmann distributions, and numerical validations like mean free path and thermal speeds to analyse data and models effectively.
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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 key thermal speeds.
- Construct microcanonical and canonical ensembles to derive thermodynamic laws.
- Apply partition functions to compute energy, free energy, entropy, and pressure in multi-particle systems.
- Understand temperature and entropy at microscopic level, connecting to the second law.
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Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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