METODOLOGIA DELLA RICERCA ED EPIDEMIOLOGIA
Module INFORMATION PROCESSING SYSTEMS

Academic Year 2025/2026 - Teacher: STEFANO IACONO

Expected Learning Outcomes

D1 - Knowledge and Understanding

The student will be able to understand the theoretical and technical concepts
of information processing systems, with a focus on
applications in physiotherapy and epidemiology, and will be able to describe how
these support the acquisition, processing, and analysis of health
data.

D2 - Ability to Apply Knowledge and Understanding

The student will be able to apply knowledge of information systems to
solve problems related to the management of epidemiological and health
data, using appropriate tools and software for analysis
in physiotherapy.

D3 - Independent Judgment

The student will be able to critically evaluate the reliability of
data collected with information systems, analyzing the results
with respect to research objectives and physiotherapy practice.

D4 - Communication Skills

The student will be able to communicate the results of data analysis in a
clear and technical manner, both in academic and professional contexts,
adapting the language for non-expert interlocutors, such as patients and
colleagues from other disciplines.

D5 - Learning Ability

The student will develop the ability to independently update themselves on
new technologies for data management and processing in
physiotherapy and epidemiology, adopting a critical and
proactive approach to the use of digital resources to improve their
professional practice.

Course Structure

Frontal lectures, concrete case studies and exercises

Required Prerequisites

Basic computer science

Attendance of Lessons

Attendance at training activities is mandatory within the limits set by the regulations

Detailed Course Content

Course Contents

1. Fundamentals of Computer Science

Computer Science and Information Systems

Computers: Historical Overview

Analog and Digital Signals, Number Systems, The Binary System, the Bit

Hardware and Software

Computer Architecture

Algorithm and Its Characteristics

2. Operating Systems, Information Management, Organization, and Processing Programs

Modern Operating Systems

Computer Networks

3. Spreadsheets

Textbook Information

Textbook listed below

Author Title Publisher Year ISBN

Donatella Sciuto, Giacomo Buonanno, Luca Mari Introduction to Information Systems McGraw Hill 2022 9788838655029

Course Planning

 SubjectsText References
1Topics References Texts 1 Fundamentals of Computer Science 2 Computers: Historical Notes 3 Numbering Systems, Binary System, Bit, Analog and Digital Signals 4 Hardware and Software: Computer Architecture 5 Algorithm and Its CharacteristicsFeedbackGoogle Traduttore

Learning Assessment

Learning Assessment Procedures

Grades out of thirtieths following a written test with open-ended answers

Examples of frequently asked questions and / or exercises

Examples of Frequently Asked Questions and/or Exercises

Open-ended Question

Example

History of Computers

The Binary System and Its Branches

Algorithms and Their Characteristics

Operating Systems on Various Computers

Hardware and Software: Their Input and Output Functions

Spreadsheets and Their Correct Use
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