Unit DATA SCIENCE AND APPLICATIONS IN PHYSICS

Course
Physics
Study-unit Code
A002331
Location
PERUGIA
Curriculum
Fisica teorica
Teacher
Livio Fano'
Teachers
  • Livio Fano'
  • Daniele Spiga
Hours
  • 21 ore - Livio Fano'
  • 21 ore - Daniele Spiga
CFU
6
Course Regulation
Coorte 2022
Offered
2022/23
Learning activities
Affine/integrativa
Area
Attività formative affini o integrative
Academic discipline
FIS/04
Type of study-unit
Opzionale (Optional)
Type of learning activities
Attività formativa monodisciplinare
Language of instruction
Italian
Contents
Introduction to statistical learning and to the most common tools
Reference texts
The Elements of Statistical Learning
(Data Mining, Inference, and Prediction)
Autors: Trevor Hastie Robert Tibshirani Jerome Friedman
Educational objectives
Learning from Data with statistical and computational tools for big and complex data.
Specific applications to Physics.
Prerequisites
"Statistical Methods for Data Analysis" is suggested.
Teaching methods
Classroom lessons and practice.
Other information
Data Science combines advanced statistical and computational methods, with specific infrastructural solutions at high scalability and high performances.
Learning verification modality
Students will be requested to:
1) during the course: provide a presentation to the classroom based on one of the arguments discussed during the first half of the study program
2) end of the course: provide a written report on an assigned argument
3) oral test
Extended program
Introduction to Statistical Learning:

1) Prediction accuracy, model preparation and supervised learning
2) Regression and Classification
3) Model selection
4) Decision Trees - random forest
5) Support Vector Machine
6) Unsupervised Learning and Principal Component Analysis
7) Neural Network and Deep Learning
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