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  1. Courses

CH0008 - ELEMENTS OF SIGNAL ANALYSIS

courses
ID:
CH0008
Duration (hours):
48
CFU:
6
SSD:
BIOINGEGNERIA ELETTRONICA E INFORMATICA
Located in:
CHIETI
Url:
Course Details:
COMPUTATIONAL COGNITIVE SCIENCE/CORSO GENERICO Year: 1
Year:
2025
Course Catalogue:
https://unich.coursecatalogue.cineca.it/af/2025?co...
  • Overview
  • Syllabus
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Overview

Date/time interval

Secondo Semestre (01/03/2026 - 12/06/2026)

Syllabus

Course Objectives

The course introduces the student to the analysis of data of biological interest with specific reference to signals of interest for the human body. The aim of the course is therefore to provide the student with the knowledge of the most used techniques for the analysis of data in continuous and discrete time and to make them able to apply these techniques in the applications of cognitive neuroscience.

Course Prerequisites

Students are required to know the notions acquired in the course of mathematics for cognitive sciences.

Teaching Methods

The module consists of 48 hours of frontal lessons on the days indicated in the didactic calendar.
The frontal teaching includes both theoretical lessons and practical examples.
Attendance is optional, recommended, and the final exam will be the same for attending and non-attending students

Assessment Methods

The verification of the students' preparation will take place with a written and oral exam on all the contents of the course.
The written exam will include two problems of data analysis of biomedical interest. The duration of the written test is two hours. The vote of the written test will be expressed in thirtieths; if the vote is less than 18/30 the written test is not considered passed and must be repeated.
The oral exam will focus on the contents of the entire program. If, after the oral exam, the final mark obtained from the average written test and oral test should be less than 18/30, the exam must be repeated in full (including written test).
The topics covered by the exam will reflect those covered during the course and present in the program elaborated in order to lead students to reflect on the links between the various topics covered. In order to pass the exam, the student must demonstrate sufficient knowledge of all the topics of the course program that will be the subject of the written test and the oral test. The student must demonstrate that he/she has well understood the concepts presented in the course. The following will also be evaluated: the ability to apply theory to concrete examples, the methodological rigor and the appropriateness of the technical language.
In detail, a vote will be assigned between:
1) 18 and 21 if he/she will demonstrate sufficient knowledge and skills in the topics of course.
2) 22 and 25 if he/she will demonstrate good knowledge and skills in all the topics of the course.
3) 26-29 if he/she will demonstrate very good knowledge and skills in all the topics of the course and a very good degree of scientific rigor.
4) 30 if he/she will demonstrate excellent knowledge and skills in all the topics of the course and a high degree of scientific rigor.
5) 30 cum laude if the student will demonstrate excellent knowledge and skills in all the topics of the course and a high degree of scientific rigor, as well as the ability to logically connect the different topics and expand beyond what has been described during the course.

Texts

Students will be provided with teaching materials in the form of handouts, as well as copies of the slides discussed during the lessons. All the material will be made available on the Teams channel and on the e-learning platform of the course.
The main reference text is:
Teoria dei Segnali
Marco Luise, Giorgio Matteo Vitetta
McGraw-Hill
The details of the parts of the text that will be addressed during the course will be made available on the Teams channel and on the e-learning platform of the course.

Contents

The course will introduce the main techniques for the analysis of signals of biological interest in general and neuroscientific in particular. The methods and software to analyze these signals will be presented and discussed with practical examples.

Course Language

Italian and English

More information

The reception time is set on Mondays from 14:30 to 16:30 at ITAB, Chieti campus. Students are suggested to confirm their appointment by email: vittorio.pizzella@unich.it

Degrees

Degrees

COMPUTATIONAL COGNITIVE SCIENCE 
Master’s Degree
2 years
No Results Found

People

People

PIZZELLA Vittorio
Settore PHYS-06/A - Fisica per le scienze della vita, l'ambiente e i beni culturali
Gruppo 02/PHYS-06 - FISICA PER LE SCIENZE DELLA VITA, L'AMBIENTE E I BENI CULTURALI, DIDATTICA E STORIA DELLA FISICA
AREA MIN. 02 - Scienze fisiche
Docenti di ruolo di Ia fascia
No Results Found
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