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Academic year 2023/2024
Bachelor's Degree (BSc) on ARTIFICIAL INTELLIGENCE

Coordinator Prof. Simona Ester Rombo
Class of Bachelor's Degree (BSc) on Computer Science (L-31)
3 years
PALERMO
Free access
Department of Mathematics and Informatics
Course Code
2291

Course info
The CdS in Artificial Intelligence aims to train experts in the theoretical foundations, techniques, methodologies, and methods of applying artificial intelligence. The course aims at providing graduates a cultural and professional profile clearly different from the one of computer science graduates, mainly for the interdisciplinary traits characterizing the most recent developments in artificial intelligence. Artificial Intelligence graduates will receive a solid training on the essential topics for artificial intelligence in the areas of mathematics, computer science, physics, and cognitive sciences. In particular, graduates will be able to use logical-mathematical tools with awareness, will possess a solid knowledge of the fundamental aspects of computer science and command of the topics, techniques and methodologies of artificial intelligence, including the extraction and representation of knowledge, automatic reasoning , machine learning, artificial vision, search and optimization algorithms, human-machine interaction, as well as application-based disciplines. Graduates in AI will also possess legal and ethical knowledge enabling them to make conscious use of the acquired knowledge and skills in decision-making and information processing processes. This knowledge is acquired through lectures and laboratory activities. The verification of the knowledge acquired in the various training activities is carried out in the most suitable forms for the specific types and characteristics of training activities. The verifications typically consist, for example, of written and/or oral exams, reports on the activities carried out and the knowledge acquired, intermediate tests, as well as the final test for obtaining the degree. The laboratory and internship activities enable graduates to contribute, on the basis of constantly updated interdisciplinary knowledge and skills, to the design and implementation of innovative solutions based on AI techniques and models, both in the public and private sectors. The educational activities aim both at understanding the fundamentals of AI and at experimenting its use in applications. The degree course is structured as follows: - the first two years consist of training activities dedicated to the founding nucleus of training in artificial intelligence and are essential for defining the graduate's interdisciplinary profile. - the third year is partially dedicated to the definition of specific methodological skills of artificial intelligence as well as to the use of artificial intelligence in application areas; in the third year, students can freely choose some courses according to their cultural interests and can complete the practical understanding of artificial intelligence, also in application areas, through laboratory activities or internships; - the training course is completed at the end of the third year with the final exam.
Profile: Expert in Artificial Intelligence applied to data analysis Functions: Graduates will make use of the skills acquired in artificial intelligence to solve problems of data collection, organisation, processing and classification, and to build predictive and decision support models. Skills: The mastery of a wide range of techniques and methods, logical-deductive as well as based on machine learning, characterizes the professional profile. Disciplines such as psychology and law allow the development of skills in communication, teamwork, the ability to organize work with different levels of responsibility. Graduates will be able to use English language in the workplace, as well as in their specific area of expertise. Professional opportunities: Graduates will be able to operate in a variety of working environments characterized by the management of highly complex data, in private companies and in public institutions. Profile: Expert in Artificial Intelligence applied to interaction Functions: Graduates will be able to design, implement and test interactive systems based on natural language processing and multimodal communication. Skills: The command of a wide range of artificial intelligence techniques and methods characterizes the professional profile. Subjects such as person-machine interaction and ethics favour the development of skills in the design of intelligent interactive systems, and in their evaluation in variously articulated social and environmental contexts. Graduates will be able to use the English language in the workplace, as well as in their specific area of expertise. Professional opportunities: Graduates will be able to operate in a variety of working areas centered on the design or adaptation of conversational computer systems, or systems based on the analysis and synthesis of non-textual information, characterized by computational elements of artificial intelligence.
To obtain the Degree, students must have acquired 180 credits, including the credits related to the final examination. The final test has the objective of assessing the level of maturity and critical skills of the undergraduate, with respect to learning and to the acquired knowledge, on completion of the activities provided by the course syllabus. The final examination consists of a oral test, in accordance with the rules fixed every academic year by the Degree Course Regulations, respecting and consistent with the calendar, the ministerial requirements and to the relevant Guidelines of the University.

course outline
Teachings first year
credits Term Val. Area Scientific sector
01169 - LINEAR ALGEBRA Details MARTINO (RD) 6.0 1 V A MAT/02
16161 - PROGRAMMING WITH LABORATORY Details SCIORTINO (PO) 9.0 1 V A INF/01
22972 - COGNIIVE PSYCHOLOGY AND ERGONOMICS Details CACI (PA) 6.0 1 V C M-PSI/01
22974 - COMPUTATIONAL LOGIC Details TABACCHI (RD) 9.0 1 V A MAT/01
16208 - MATHEMATICAL ANALYSIS Details VETRO (PA) 9.0 2 V A MAT/05
20692 - ENGLISH LANGUAGE SKILLS - EQUIVALENT TO LEVEL B1 6.0 2 G E
21616 - FUNDAMENTALS OF DATA SCIENCE Details GARLISI (RD) 6.0 2 V B INF/01
22973 - ALGORITHMS FOR A.I. Details AMATO (RD) 9.0 2 V A INF/01
Teachings second year
credits Term Val. Area Scientific sector
01525 - DATA BASES Details 9.0 1 V B INF/01
01736 - PROBABILITY THEORY Details SANFILIPPO (PO) 6.0 1 V C MAT/06
22975 - REPRESENTATION OF KNOWLEDGE AND REASONING Details 6.0 1 V B INF/01
23007 - PRINCIPLES OF MECHANICS AND THERMODYNAMICS Details MICCICHE' (PO) 9.0 1 V C FIS/07
17878 - MACHINE LEARNING Details 9.0 2 V B INF/01
22982 - ETHICAL AND JURIDICAL ASPECTS OF ARTIFICIAL INTELLIGENCE Details BRIGAGLIA (PO) 6.0 2 V
JURIDICAL ASPECTS OF ARTIFICIAL INTELLIGENCE GIAIMO (PO) 3.0 C IUS/02
ETHICAL ASPECTS OF ARTIFICIAL INTELLIGENCE BRIGAGLIA (PO) 3.0 C IUS/20
22983 - STATISTICS AND DATA ANALYSIS Details 6.0 2 V C SECS-S/01
22984 - HUMAN-MACHINE INTERACTION Details TAORMINA (RD) 9.0 2 V B INF/01
Teachings third year
credits Term Val. Area Scientific sector
09202 - ARTIFICIAL VISION Details 9.0 1 V B INF/01
13121 - PRACTICE 8.0 1 G F
13351 - ADVANCED SKILLS RELATED TO THE LABOUR MARKET 1.0 1 G F
22790 - NATURAL LANGUAGE PROCESSING Details 9.0 1 V B INF/01
23075 - SOFTWARE ENGINEERING FOR A.I. Details 6.0 1 V B INF/01
05917 - FINAL EXAMINATION 3.0 2 V E
Optional subjects 6.0 B
Free subjects (suggested) 18.0 D
Elective activities
Optional subjects credits Term Val. Area Scientific sector
23130 - AUTONOMOUS AGENTS Details 6.0 1 V B INF/01
23132 - COMPUTATIONAL OPTIMISATION Details 6.0 1 V B INF/01
21195 - OPEN DATA MANAGEMENT Details 6.0 2 V B INF/01
23131 - MACHINE LEARNING FOR BIOINFORMATICS Details 6.0 2 V B INF/01
23138 - ARTIFICIAL INTELLIGENCE FOR MEDICINE Details 6.0 2 V B INF/01
Free subjects (suggested) credits Term Val. Area Scientific sector
05419 - BUSINESS ORGANISATION Details 6.0 2 V D SECS-P/10
23133 - PRINCIPLES OF QUANTUM COMPUTING Details 6.0 2 V D FIS/03
Explaination
Term Term/Semester
Val. Valutation: V = mark in 30/30, G = note
(*) Teaching attended in english
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