The Physics of Matter track combines fundamental courses for a physicist of matter such as Structure of Matter, Solid State Physics and Statistical Mechanics, together with interdisciplinary courses of “active matter” such as Quantitative Life Science and Biological dataset for computational Physics. The student will also have the opportunity to learn the most recent techniques in Neural Networks and Deep Learning

Models of Theoretical Physics^*
Solid State Physics
Statistical Mechanics
Structure of Matter
Biological datasets for computational physics
Neural networks and deep learning
Quantitative Life Science
Information Theory and Inference

_*Mandatory