Track 3

Physics of Matter

Track 3

How does the track 3

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

course of study

Topics covered

* Mandatory

course of study

Exams common to all tracks

1

Laboratory of computational physics

2

management and analysis of physics datasets

3

MACHINE LEARNING

4

Advance statistics for physics analysis

5

Information theory and inference

courseS

Find out more about the other tracks