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

The syllabus of the course is available here.

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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

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