The course's educational objectives are:
- Understand the basic concepts of computer science;
- Understand the concept of an algorithm and its possible representation through a flowchart;
- Understand the structure of a personal computer;
- Understand the basic concepts of Artificial Intelligence and Machine Learning;
- Understand the main ethical issues and the impact of Artificial Intelligence on society;
- Understand some of the basic applications of Artificial Intelligence applied to medicine.
- Understand the principles underlying Health Information Systems;
- Understand the principles and technologies underlying telemedicine;
- Be able to independently solve problems of medium complexity using a spreadsheet;

According to the Dublin Indicators:
1. Knowledge and Understanding:
By the end of the course, students should:
- know the components of a personal computer;
- know the fundamentals underlying Artificial Intelligence;
- know the fundamentals of Health Information Systems and telemedicine.
- know the Excel spreadsheet and its main functions;

2. Ability to apply knowledge and understanding.
By the end of the course, students:
- will be able to recognize the main components of a personal computer;
- will be able to explain how a personal computer works;
- will be aware of the ethical and social issues surrounding the use of Artificial Intelligence;
- will be able to describe a Health Information System and explain telemedicine;
- will be able to manipulate data using an Excel spreadsheet;

3. Making Independent Judgments
By the end of the course, students will be able to:
- explain how a personal computer works and recognize its main components;
- describe some of the main ethical issues raised by Artificial Intelligence;
- describe the composition of a Healthcare Information System;
- be able to describe what telemedicine is and how it is used;
- use Excel spreadsheets to solve problems of medium complexity;
-
4. Communication Skills
By the end of the course, students will have acquired the specific computer language and terms needed to communicate effectively with IT technical support. They will also be able to approach and solve a problem of medium complexity using a spreadsheet.

5. Learning Skills
By the end of the course, students will be able to:
- independently apply the learn-by-doing methodology proposed during the course to acquire new knowledge;
- apply the acquired knowledge to real-world cases to find solutions to new problems.

-

1. Computer Science Essentials.
2. Digital Healthcare and Artificial Intelligence.
3. Healthcare Information Systems and Telemedicine.
4. The Excel Spreadsheet.

Dennis P. Curtin, Kim Foley ed altri, Informatica di base, McGraw-Hill
Alessandro Longo, Guido Scorza, Intelligenza artificiale, Mondadori.
Alberto Rosotti, Informatica Medica, McGraw-Hill
Alberto E. Tozzi, Diana Ferro. Guida facile all’intelligenza artificiale in medicina, Il Pensiero Scientifico Editore.
Federico Tibone, La patente del computer, Nuova ECDL, Zanichelli.
Alberto Clerici, Excel livello avanzato, Alpha Test.
Course slides and other materials will be made available by the instructor.

Computer Science and Algorithms.
Data and Information.
Information Coding.
The ASCII Code.
The Von Neumann Model.
The Structure of a Computer.
Input and Output Peripherals.
Mass Storage.
Software.
Basic Software and Application Software.
Operating Systems.
Storage Devices.
File and Folder Management.
Networks and Internet Browsing.
Transmission Media.
TCP/IP Addresses and DNS.
Static and Dynamic Web Pages.
Cloud Computing
Digital Healthcare and Artificial Intelligence.
Machine Learning and Model Training.
Ethical Issues of Artificial Intelligence.
AI Applications to Medicine.
Healthcare Information Systems
Architecture
Types and Functionalities
Definition of Telemedicine and Applications
Technologies Used in Telemedicine
Use Cases
Challenges and Opportunities

Lectures on theoretical topics. Laboratory exercises using personal computers, using a learning-by-doing methodology. Exercises and problems are solved using problem-solving methods.

-

Written exam consisting of 32 multiple-choice questions.