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 mechanics

• Statistics & stochastics

Theory of statistical physics (3 hours)

• Isolated, closed and open systems (micro canonical, canonical and grand canonical ensembles)

• Probability density, partition function and average values

Applications and examples (6 hours)

• Entropy, temperature and the laws of thermodynamics

• Thermodynamic properties of gases

• Phase transitions

At 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 Iam a postdoc working as a scientist on theoretical magnetism. Therefore, I use statistical physics very often but I have not forgotten the time when I learned about this theory and still remember the problems that I and other students had.
I have refined my advisor skills as a tutor of Bachelor, Master and PhD students in theoretical physics and have other successful courses here on Udemy.

I hope you are excited and I kindly welcome you to our course!