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Data Analysis Techniques
- Oggetto:
Data Analysis Techniques
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Academic year 2023/2024
- Teacher
- Livio Bianchi
- Degree course
- PhD in Physics
- Teaching period
- First semester
- Type
- Basic
- Credits/Recognition
- 6
- Course disciplinary sector (SSD)
- FIS/01 - experimental physics
- Delivery
- Traditional
- Language
- English
- Attendance
- Obligatory
- Type of examination
- Practice test
- Prerequisites
- Advanced Mathematical Analysis (scientific curricula)
Basic concepts on statistics and probability theory
Basic programming skills in c/c++ and/or python - Oggetto:
Sommario del corso
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Course objectives
Give the student a rapid recap of basics in statistical data analysis and introduce the most advanced techniques for parameter estimation and hypothesis testing.
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Program
- Basic Probability theory
- PDF and random number generation
- MC techniques
- Parameter estimation: Maximum Likelihood
- Multi-dimensional estimation and Least Square Method
- Confidence Intervals
- Nuisance parameters and Bayesian CI
- Hypothesis testing
- More on hypothesis testing
- Bayesian testing and GOF tests
- Cumulative tests and the search for the bump
- Machine Learning
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Course delivery
In-person
Suggested readings and bibliography
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- Book
- Title:
- Statistical Data Analysis
- Year of publication:
- 1997
- Publisher:
- Oxford Science Publications
- Author:
- Glen Cowan
- Required:
- No
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.
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Notes
Material of the course can be found at this link
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Class schedule
Lessons: from 18/01/2024 to 22/02/2024
Notes: Time slot for all lessons: 16:00 - 18:00
Date Room
18/01 Fubini
19/01 Verde
23/01 Avogadro
24/01 Verde
30/01 Avogadro
02/02 Verde
05/02 Avogadro
07/02 Verde
12/02 Verde
14/02 Verde
20/02 Verde
22/02 Verde- Enroll
- Closed
- Enrollment opening date
- 07/11/2023 at 00:00
- Enrollment closing date
- 31/01/2024 at 23:55
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