INFORMATION TECHNOLOGY

Academic year
2024/2025 Syllabus of previous years
Official course title
ABILITA' INFORMATICHE
Course code
LT0030 (AF:381358 AR:291808)
Modality
Online
ECTS credits
3
Degree level
Bachelor's Degree Programme
Educational sector code
NN
Period
Annual
Course year
3
Moodle
Go to Moodle page
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.
The test takes place in presence in the computer science lab of the university.

Exam description:
Each candidate must answer 15 multiple-choice questions based on the course content.
Each question has four possible answers, of which only one is correct: the candidate must select only one answer.
The candidate has 20 minutes to complete and submit the answers.
There is only one attempt allowed for the exam quiz.
Each correct answer is worth one point, while unanswered or incorrect answers neither earn nor lose points. Incorrect answers are not penalized.
To pass the exam, the candidate must correctly answer at least 9 out of 15 questions.
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
written

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

Definitive programme.
Last update of the programme: 11/10/2024