This course will discuss advanced topics in thermodynamics with a focus on studying gas
phases, mixtures, and phase transformations. The application of these principles
to various practical systems such as batteries, fuel cells etc. will be discussed. ...
We discuss a set of topics that are important for the understanding of modern data science but that are typically not taught in an introductory ML course. In particular we discuss fundamental ideas and techniques that come from probability, information the ...
Biology is becoming more and more a data science, as illustrated by the explosion of available genome sequences. This course aims to show how we can make sense of such data and harness it in order to understand biological processes in a quantitative way. ...
The course is conceived in the perspective of understanding the fundamentals of spintronics. This implies learning about magnetism at the quantum mechanical level, mechanisms for spin relaxation and spin transport, including Berry phase. Various forms of ...
This course introduces modern field-theoretical approaches to non-equilibrium systems. Through practical examples from quantum gases/optics, we construct the Keldysh formalism and explore the connections to classical stochastic field theory, hydrodynamics, ...