Statistical thermodynamics is a pillar of classical physics that connects macroscopic thermal properties of matter to the laws that govern microscopic particles. We will see how concepts and phenomena emerge when considering a large number of particles. Because this requires us to make probabilistic assumptions about those particles, we introduce several relevant concepts in probability and statistics. We use them to develop statistical thermodynamics and describe phenomena such as critical points and phase transitions. Lastly, we show the relevance of statistical thermodynamics to topics in modern physics, including the development of quantum mechanics, superconductors, and even black holes.
A. Apply the fundamental principles of classical thermodynamics to simple physical systems. B. Explain the connections between statistical thermodynamics and classical thermodynamics. C. Describe the properties of classical and quantum gases using statistical thermodynamics. D. Analyze critical points and phase transitions within the framework of statistical thermodynamics. E. Evaluate the connections between statistical thermodynamics and selected topics in modern physics.
This module will be delivered by a combination of lectures and tutorials. Lectures will introduce students to key principles in statistical thermodynamics. Tutorials will reinforce that theoretical understanding through problem sheets.