optD

Machine Learning Methods For Physics – 6 CFU (optD)

Simona Ranieri 2nd year, 4 CFU, a.a. 2026-27, Block D-Computational Methods, II semester, optD, Subjects
Machine Learning Methods For Physics – 6 CFU (optD)

block optD – COMPUTATIONAL METHODS
2nd Year II semester
Course Information
Course Code 80300140
Credits 6 CFU
Offered by https://www.master-mass.eu/ (from Physics LM-17 )
SSD2015 FIS/01
SSD2024 PHYS-01/A
note
  • PREREQUISITES: Basic concepts of Linear Algebra, Mathematical Analysis and Python Programming

 

Lecturer
Current Lecturer
Prof.  Michele BUZZICOTTI
✉ Michele.Buzzicotti@roma2.infn.it
☏ +39-06-7259-4584
Previous Lecturer
✉

 

 

 

 

 

 

 

Grading Criteria
Evaluation Oral exam

 

Resources
Links

https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://didatticaweb.uniroma2.it&size=32  DidatticaWeb
ℹ️ Official Course Information (GOMP)

📑 Course Syllabus (details):  PHY – Machine Learning Methods for Physics (MLMP) — M. Buzzicotti

 

Quantum Computing (D-opt)

Simona Ranieri 2nd year, 8 CFU, a.a. 2025-26, Block D-Computational Methods, II semester, optD, Subjects , , ,
Mathematical-Methods
2 YEAR (Block D)
 2 semester 8 CFU
(from Electronic Engineering)
Prof. SARGENI FAUSTO, AUF DER MAUR MATTHIAS, DI CARLO ALDO, SALAMON ANDREA  A.Y. 2025-26 activated
start in the a.y. 2026-27
Code: 80300140
SSD: FIS/01
https://www.master-mass.eu/

 

  • PREREQUISITES: Basic concepts of Linear Algebra, Mathematical Analysis and Python Programming
  • OBJECTIVE: The lectures are thought to give a solid knowledge of the theoretical Machine Learning (ML) background. A special focus is given to the ML application for data analysis of physical systems. The students will also learn how to implement a typical ML model using the standard libraries in a Python environment.

 

MACHINE LEARNING METHODS FOR PHYSICS – 6 CFU (D-opt)

Simona Ranieri 2nd year, 6 CFU, a.a. 2025-26, Block D-Computational Methods, II semester, optD, Subjects , , ,
MACHINE LEARNING METHODS FOR PHYSICS – 6 CFU (D-opt)
2 YEAR (Block D)
 2 semester 6 CFU
(from Physics LM-17 )
Prof. Michele BUZZICOTTI A.Y. 2025-26 program 📑
Code: 80300140
SSD: FIS/02SSD2024: PHYS-02/A
https://www.master-mass.eu/

 

  • PREREQUISITES: Basic concepts of Linear Algebra, Mathematical Analysis and Python Programming
  • OBJECTIVE: The lectures are thought to give a solid knowledge of the theoretical Machine Learning (ML) background. A special focus is given to the ML application for data analysis of physical systems. The students will also learn how to implement a typical ML model using the standard libraries in a Python environment.