Università degli Studi di Urbino Carlo Bo / Portale Web di Ateneo


EXPERIMENTAL DATA PROCESSING
ELABORAZIONE DEI DATI SPERIMENTALI

A.Y. Credits
2021/2022 9
Lecturer Email Office hours for students
Gianluca Maria Guidi
Teaching in foreign languages
Course with optional materials in a foreign language English
This course is entirely taught in Italian. Study materials can be provided in the foreign language and the final exam can be taken in the foreign language.

Assigned to the Degree Course

Applied Informatics (LM-18)
Curriculum: PERCORSO COMUNE
Date Time Classroom / Location
Date Time Classroom / Location

Learning Objectives

The course aims to introduce the basic logical and conceptual methodologies to lead learners to a correct approach to the problems of data analysis. The objectives concern a correct use of formalization and analysis procedures in the application of probability theory and statistics.

Program

Probability: fundamental concepts

Probability functions

Monte Carlo method

Statistical tests

Parameter estimation: general concepts

Maximum Likelihood method

Least square method

Statistica errors, confidence intervals and limits

Bridging Courses

-

Learning Achievements (Dublin Descriptors)

Knowledge and understanding: the student will have to know the fundamental concepts of probability theory and be able to identify the appropriate statistical methodologies in the analysis of experimental data.
Applied knowledge and understanding: the student must be able to apply the methods studied to real problems by providing a correct statistical description of the experimental data and interpreting the results correctly.
Autonomy of judgment: the student must be able to independently evaluate the plausibility of the result of an analysis, both through the comparison between different possible approaches, and through analogical considerations and scientific common sense.
Communication skills: the student will have to acquire a correct scientific language and the ability to explain the statistical characteristics of the analyzed data.
Ability to learn: the student will be able to deepen specific concepts, not presented during the course, on scientific texts.

Teaching Material

The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it

Supporting Activities

-


Didactics, Attendance, Course Books and Assessment

Didactics

Lectures and classroom exercises.

Attendance

Attendance is strongly recommended.

Course books

Statistical Data Analysis - Glen Cowan - Oxford University Press

Assessment

Written test: problems of probability and statistics.

Oral test: questions on the entire program carried out.

Additional Information for Non-Attending Students

Course books

Statistical Data Analysis - Glen Cowan - Oxford University Press

Assessment

Written test: problems of probability and statistics.

Oral test: questions on the entire program carried out.

Notes

The student must be able to apply the basic concepts of mathematical analysis.

« back Last update: 29/09/2021

Condividi


Questo contenuto ha risposto alla tua domanda?


Il tuo feedback è importante

Raccontaci la tua esperienza e aiutaci a migliorare questa pagina.

Se sei vittima di violenza o stalking chiama il 1522

Il 1522 è un servizio pubblico promosso dalla Presidenza del Consiglio dei Ministri – Dipartimento per le Pari Opportunità. Il numero, gratuito è attivo 24 h su 24, accoglie con operatrici specializzate le richieste di aiuto e sostegno delle vittime di violenza e stalking.

Posta elettronica certificata

amministrazione@uniurb.legalmail.it

Social

Performance della pagina

Università degli Studi di Urbino Carlo Bo
Via Aurelio Saffi, 2 – 61029 Urbino PU – IT
Partita IVA 00448830414 – Codice Fiscale 82002850418
2021 © Tutti i diritti sono riservati

Top