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This course is These lectures are part of the training offer (link) of the PhD course in Science of Matter and Nanomaterials at the University of Roma Tre.
2024 academic 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 (v0)The course is structured in theoretical lessons and lessons with practical examples using Python.
The course material will be uploaded below.
Lecture slides:
before each lesson here:
- Intro of the course - 05/04/2024 - slides
- Lecture 1: Probability, Bayes theorem,
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- random variables, probability density functions, expectation values, correlation and pdf transformations - 05/04/2024 - slides 1
- Lecture 2: Python intro, variables, functions, classes, numpy and pandas libraries, plotting - 12/04/2024 - slides 2 - notebooks: notebook_01, binder,
- Lecture 3: Pdf catalogue, Python SciPy library, Visualizing data, histograms - 19/04/2024 - slides 3 - notebooks: notebook_02
- Lecture 4a: Montecarlo method, random numbers with Python - 26/04/2024- slides 4 - notebooks: notebook_03
- Lecture 4b: Montecarlo method, random numbers with Python - 10/05/2024 - slides 4 - notebooks: notebook_03
- Lecture 5: Parameter estimation - 24/04/2024 - slides 5
- Lecture 6: Curve Fitting - 21/06/2024 - slides 6 - notebooks: notebook_04
- Lecture 7: Hypotesis test - 28/06/2024 - slides -
- Lecture 8: Classification - 12/07/2024 - slides -
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past years materialPython Notebooks: