Course Notes
Detailed Learning Outcomes
Unit I – Probability Theory and Stochastic Processes
- Lecture 1 - Probability Basics, link
- Lecture 2 - Probability Distributions, link
- Lecture 3 - Moments, link
- Lecture 4 - Central Limit Theorem, link
- Lecture 5 - Bivariate Distribtutions, link
- Lecture 6 - Random Vectors, link
- Lecture 7 - Random Fields, link
- Lecture 8 - Stochastic Processes, link
- Lecture 9 - Markov Processes, link
- Lecture 10 - Stochastic Differential Equations, link
Unit 2 – Mechanics and Phase Space
- Lecture 11 - Lagrangian Mechanics, link
- Lecture 12 - Hamiltonain Mechanics and Phase Space, link
- Lecture 13 - Waves and Particles, link
- Lecture 14 - Quantum Mechanics, link
Unit 3 – Ensemble Theory
- Lecture 15 - Microcanonical Ensemble, link
- Lecture 16 - Thermodynamics from Ensembles, link
- Lecture 17 - The Canonical Ensemble, link
- Lecture 18 - Thermodynamics in the NVT Ensemble, link
- Lecture 19 - The Grand Canonical Ensemble, link
- Lecture 20 - The NPT Ensemble and Fluctuations, link
Unit 4 – Pure Component Phase Behavior
- Lecture 21 - The Postulates and Laws of Thermodynamics, link
- Lecture 22 - Thermodynamics of Phase Equilibrium, link
- Lecture 23 - The van der Waals Fluid, link
- Supplement – Thermodynamic Properties of the van der Waals Fluid, link
- Lecture 24 - Van der Waals Phase Behavior, link
- Future plans: liquids, solids, mixtures
Unit 5 – Soft Materials: polymers, colloids, electrolytes
Unit 6 – Non-equilibrium: transport and stochastic kinetics
Old Notes
- Polymer Physics Notes from Spring 2023: Link
- Stat Thermo Notes from Fall 2024: Link