Experimental data processing laboratory
A.Y. 2016/2017
Learning objectives
Il corso ha l'obiettivo di raggiungere una consapevole familiarità con l'elaboratore elettronico, le librerie di sistema ed il linguaggio di programmazione C++. Tale familiarità è finalizzata allo sviluppo di applicazioni per l'acquisizione, il trattamento e l'analisi numerica di dati sperimentali, oggetto delle esercitazioni proposte.
Expected learning outcomes
Undefined
Lesson period: First semester (In case of multiple editions, please check the period, as it may vary)
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Course syllabus
Class-room lectures: Introduction to object oriented programming. Basics of C++ language: class, inheritance and plymorphism. Structured algorithms, computational complexity, ordering and search algorithms, search methods of function roots and minima, polynomial interpolation (Lagrange and Newton methods), numerical quadrature, ramdom variables. Monte Carlo method (integration of a function and experiment simulation) . Ordinary differential equations. One-step methods (Eulero, Heun and Runge-Kutta).
Practical applications with computer in laboratory are based on these items.
Practical applications with computer in laboratory are based on these items.
FIS/01 - EXPERIMENTAL PHYSICS - University credits: 6
Laboratories: 36 hours
Lessons: 24 hours
Lessons: 24 hours
Shifts:
Professor:
Carminati Leonardo Carlo
Turno 1
Professor:
Carminati Leonardo CarloTurno 2
Professor:
Maino DavideTurno 3
Professor:
Andreazza AttilioTurno 4
Professor:
Carminati Leonardo CarloTurno 5
Professor:
Galli Davide EmilioCORSO SERALE
Responsible
Lesson period
First semester
Course syllabus
Class-room lectures: Introduction to object oriented programming. Basics of C++ language: class, inheritance and plymorphism. Structured algorithms, computational complexity, ordering and search algorithms, search methods of function roots and minima, polynomial interpolation (Lagrange and Newton methods), numerical quadrature, ramdom variables. Monte Carlo method (integration of a function and experiment simulation) . Ordinary differential equations. One-step methods (Eulero, Heun and Runge-Kutta).
Practical applications with computer in laboratory are based on these items.
Practical applications with computer in laboratory are based on these items.
FIS/01 - EXPERIMENTAL PHYSICS - University credits: 6
Laboratories: 36 hours
Lessons: 24 hours
Lessons: 24 hours
Professors:
Prelz Francesco, Rebatto Davide
Professor(s)
Reception:
On appointment