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Data Analysis Techniques

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09-Data Analysis Techniques

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Academic year 2021/2022

Teacher
Dott. 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
Formal authority
Language
English
Attendance
Obligatory
Prerequisites
Basics on statistics and probability theory
Basic programming skills in c/c++
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Sommario del corso

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Course delivery

In-person and on-line (teacher's webex page).

Schedule 2022:

  • February (h.11-13):
    • 22nd  [room Wick]
    • 24th [room Avogadro]
    • 25th [room C]
  • March (h.16-18):
    • 3rd  [room Wataghin]
    • 8th, 11th, 15th [room Avogadro]
    • 17th, 23rd, 25th, 29th [room Wataghin]
  • April (h.11-13):
    •  1st  [room Wataghin]
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Program

Reminder of basic probability theory
Monte Carlo methods (basic)
Statistical methods for:
- Parameter estimation (confidence intervals)
- Hypothesis testing (general, goodness-of-fit)

 

Suggested readings and bibliography



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Libro
Title:  
Statistical data analysis
Year of publication:  
1998
Publisher:  
Oxford University Press
Author:  
Glen Cowan
ISBN  
Required:  
No
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Note

Students wishing to take this course must register with the teacher via email

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