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

2023 academical year

This 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 before each lesson here:

Frontal lecture slides:

    • Intro of the course. slides - (27/03/2023)
    • Lecture 1: Probability, Bayes theorem, random variables, probability density functions, expectation values, correlation and pdf transformations. slides - (27/03/2023)
    • Lecture 2: pdf catalogue, Montecarlo method. slide 2a, slide 2b (31/03/2023)


Python Notebooks:


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