Statistical Physics & Thermodynamics from Beginner to Expert

This course is for everyone who wants to learn about statistical physics. A bit of college mathematics (basic derivatives) is all you need to know. Understanding the motion of a single object is possible using the laws of classical mechanics.

However, when we want to consider billions of particles at the same time, we need a new method: Statistical physics. The theory behind this approach is fascinating due to its simplicity. Still, it allows to correctly predict the laws of thermodynamics.

You are kindly invited to join this carefully prepared course in which we derive the following concepts from scratch. I will present examples and have prepared quizzes and exercises for all topics. Optional tutorial of the essential basics (2 hours)Laws of classical mechanicsStatistics & stochasticsTheory of statistical physics (3 hours)Isolated, closed and open systems (micro canonical, canonical and grand canonical ensembles)Probability density, partition function and average valuesApplications and examples (6 hours)Entropy, temperature and the laws of thermodynamics Thermodynamic properties of gases Phase transitionsAt the end of the course there is even an optional section in which we simulate a phase transition using python.

This is state of the art research. Why me. My name is Börge Göbel and I am a postdoc working as a scientist on theoretical magnetism.