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The course material will be uploaded before each lesson here:
Frontal lecture slides:
- Intro of the course . slides
- - (
- 27/03/2023 )
- - slides
- Lecture 1: Probability, Bayes theorem, random variables, probability density functions, expectation values, correlation and pdf transformations . slides 1
- - (
- 27/03/2023 )
- - slides 1
- Lecture 2: pdf catalogue, Montecarlo method .
- - 31/03/2023 - slides 2a, slides 2b (31/03/2023)
Python Notebooks:
- Lecture 3: Python intro, variables, functions, classes, numpy and pandas libraries, plotting - 03/04/2023 - notebooks: nbviewer, binder