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These lectures are part of the training offer of the PhD course in Science of Matter and Nanomaterials in University of Roma Tre.

2023 academical year

The course is structured in frontal lessons and practical example lessons using Python.

The syllabus of the course is available here.

The lecture calendar is available here.


The course material will be uploaded below before each lesson here:

Frontal lecture slides:

    • Intro of the course. slides
    • Lecture 1: Probability, Bayes theorem, random variables, probability density functions, expectation values, correlation and pdf transformations. slides


Python Notebooks:


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