This book provides a clear and structured introduction to statistical physics for advanced undergraduate and beginning graduate students. Developed from a two-semester lecture course, it can be flexibly used as a one-semester BSc introduction or extended into a more advanced MSc-level treatment, depending on the reader's background.
Blending conceptual explanation with practical engagement, the book includes carefully designed problems at the end of each chapter to reinforce key ideas and clarify technical details. Core topics include the kinetic theory of gases, Brownian motion, thermodynamics, entropy and its statistical definition, equilibrium distributions, fluctuations, connections to quantum theory, phase transitions, and exact methods such as the Ising model.
Statistical physics offers a universal framework for linking macroscopic thermodynamic behavior to the microscopic properties of systems with many degrees of freedom, and this book emphasizes that connection throughout. Its primary aim is pedagogical: to provide an accessible, coherent, and self-contained resource suitable for both teaching and independent study.
By presenting essential concepts and methods in a concise but systematic manner, this book enables readers to progress confidently from fundamental principles to more advanced topics, making it an ideal foundation for further study and research in physics and related fields.
