INFORMATION TECHNOLOGY

This is one of the activities present in every curricula of the Corsi di Laurea in "Filosofia", "Lettere", "Storia", "Lingue, Culture e Società dell'Asia e dell'Africa Mediterranea", "Lingue, civiltà e scienze del linguaggio", "Mediazione linguistica e culturale".
The course contributes to the attainment of the teaching goals of the CdS in the area of computer skills.
The course aims to provide: basic knowledge on the use of IT tools; IT skills for a responsible use of new disruptive technologies, such as machine learning and generative artificial intelligence.

Knowledge and Understanding:
Basic knowledge of computer systems and artificial intelligence
Basic knowledge of problem-solving and programming
Knowledge and understanding of how a computer works
Knowledge and understanding of how a machine learning system works

Ability to Apply Knowledge and Understanding:
Ability to analyze a simple computer problem
Demonstrate a general understanding of computer use
Demonstrate an understanding of the capabilities and limitations of a machine learning system

Judgment Skills:
Ability to evaluate the potential and risks of new AI-based technologies
Ability to responsibly use artificial intelligence tools

Learning Skills:
Ability to consult reference materials suggested by instructors
Ability to apply the acquired skills
Ability to use the online teaching platform
Ability to independently study materials and topics covered in online lessons

No prerequisites are required for this course.

Introduction to Computer Science
Computational Systems
Algorithms and Programs
Data Representation and Management
Introduction to Artificial Intelligence
Machine Learning
Generative AI and Language Models
Data Protection
Algorithmic Biases and Discrimination
Responsibility and Human Oversight
AI and Creativity

Interactive materials made available by the teacher on the course moodle page.

Laboratory test on the online teaching platform with closed questions.
It is mandatory to register for the exam through the registration platform in your personal area. Students who are not registered will not be admitted to the exam.
The test takes place in presence in the computer science lab of the university.

written

Each candidate will have 20 minutes to answer 15 questions. The exam consists of a multiple-choice test, and the score will be calculated as follows:
Maximum score: 15 points
Correct answer: +1 point
Incorrect answer: -0.25 points
Unanswered question: 0 points
Minimum score to pass the exam: 9 points

The course is delivered online through synchronous and asynchronous lessons and interactive activities.
The student will be able to follow the interactive lessons available on the site and check their learning through scheduled meetings with the instructors.
The learning process is mainly based on individual study and practice, starting from the materials provided on the course webpage on the university's Moodle portal.
Regular online or in-person meetings with instructors and tutors are scheduled for clarifications and in-depth study of the course content.

Italian

Sustainability:

Course with sustainable contents
University credits of sustainability: 3
Lecture notes, material for reference or for self-assessment available online or as e-book
Use of virtual forum, blog or wiki
E-learning, moodle platforms

This subject deals with topics related to the macro-area "Poverty and inequalities" and contributes to the achievement of one or more goals of U. N. Agenda for Sustainable Development