Università degli Studi di Perugia

Degree course in Informatics

Course Name
INFORMATICS
Course Code
LM65
Class (Ministerial code)
LM-18
Website
Field(s) of study
ISCED Area 06 – Information And Communication Technologies
Qualification award
Master Degree
Level of qualification according to the NQF and the EQF
EHEA Second cycle; EQF Level 7
Length of programme / number of credits
2 years / 120 ECTS
Language of Teaching
Italian/English
Mode of study
In-class
Didactic centre
Via Vanvitelli 1, 06123 Perugia
Programme director
Prof. Alfredo Milani
Access to the course
open access with assessment of personal competencies
Available places
Specific admission requirements
Italian First cycle qualification (Laurea) or foreign equivalent in the same or related subject area, with possible extra work if required competences are lacking.
Evaluation of specific subject knowledge on entry
Verification of the possession of the curricular requirements with the methods indicated in the academic regulation of the course of study. Foreign students are required to take a test to verify their proficiency of the Italian language, except Erasmus Incoming students, Exchange Students and students in mobility as per the Cooperation Agreement.
Profile of the programme
The programme includes two curricula: Artificial Intelligence and Cybersecurity. Common lessons are provided for the acquisition of advanced knowledge relating to: artificial intelligence, advanced algorithms, methods for machine learning, high-performance computing, cybersecurity, computability and complexity. The characterizing themes are - "Artificial Intelligence" curriculum: agent models, complex networks, machine learning, computational intelligence, evolutionary algorithms, knowledge representation and automated reasoning, image processing - "Cybersecurity" curriculum: cybersecurity models, information security systems, cryptography, security auditing and certification, digital forensics.
Programme learning outcomes
Graduates of the Artificial Intelligence curriculum will in particular be able to design reasoning-oriented architectures and applications, machine learning, optimization and intelligent interaction between systems, devices, the environment and users. Graduates of the Cybersecurity curriculum will in particular be able to: design and develop secure solutions for IT products, systems and processes; test and certify digital products and processes; acquire evidence and analyze digital forensics scenarios.
Qualification requirements and regulations
To be admitted to the final exam, the student must have acquired all the credits foreseen in the study plan. The final exam is public and consists in presenting your thesis work to a commission. The thesis must be related to an innovative or research topic, concerning information technology or its applications and must document the original results obtained. It can be carried out during the internship, as well as in the context of study stays at Italian and foreign universities or research centers.
Examination regulations and grading scale
Assessment is an oral or written exam; intermediate exams are possible during the course as well as project works or report. The grades are measured in thirtieths: the minimum to pass the exam is 18/30. The maximum grade can be enhanced with “cum laude” (30 cum laude).
Obligatory or optional mobility windows
Mobility windows are usually aligned with semesters, by they can be defined and used in a flexible way depending on need and requirements of the single student.
Work-based learning
The course of studies provides an internship program: all the students have to spend a period in a company, research center or laboratory. The main aims are: - acquire specific competences - gain valuable work experience - facilitate the transition to a job - Explore a potential career path - Network with professionals in the field It is mandatory to obtain 3 ECTS corresponding to 75 working hour.
Occupational profiles of graduates
The typical occupational areas are those of the analysis and formalization of complex problems, the design, development and management of highly complex, quality and innovative IT systems (with high standards of reliability, performance and security) in particular in the fields of Artificial Intelligence and Cybersecurity.
UnitLanguageAnnoPeriodCFU
ADVANCED AND DISTRIBUTED ALGORITHMS
In all curricula
English1I9
ARTIFICIAL INTELLIGENT SYSTEMS
In all curricula
English1I12
COMPUTABILITY AND COMPLEXITY
In all curricula
English1II6
COMPUTATIONAL INTELLIGENCE
Curriculum: Artificial intelligence
English1II6
COMPUTER SCIENCE TEACHING
In all curricula
Italian1I6
CYBERSECURITY
Curriculum: Artificial intelligence
English1II9
CYBERSECURITY WITH LABORATORY
Curriculum: Cybersecurity
English1II15
HIGH PERFORMANCE COMPUTING
In all curricula
English1I9
MACHINE LEARNING
In all curricula
English1II9
APPLIED IMAGE AND SIGNAL PROCESSING
Curriculum: Cybersecurity
English2II6
APPROXIMATION ALGORITHMS
In all curricula
Italian2II6
COMPUTATIONAL INTELLIGENCE
Curriculum: Cybersecurity
English2II6
COMPUTER SCIENCE TEACHING
In all curricula
Italian2I6
COMPUTER SIMULATION
In all curricula
Italian2I6
CRYPTOGRAPHY AND APPLICATIONS
Curriculum: Cybersecurity
English2whole year12
CRYPTOGRAPHY AND APPLICATIONS - MODULE 1
Curriculum: Artificial intelligence
English2I6
HUMAN-COMPUTER INTERACTION
In all curricula
English2II6
INFORMATION SECURITY AUDITING, CERTIFICATION AND DIGITAL FORENSICS
Curriculum: Cybersecurity
English2II6
INFORMATION SECURITY AUDITING, CERTIFICATION AND DIGITAL FORENSICS
Curriculum: Artificial intelligence
English2II6
KNOWLEDGE REPRESENTATION AND AUTOMATED REASONING
Curriculum: Artificial intelligence
Italian2I6
KNOWLEDGE REPRESENTATION AND AUTOMATED REASONING
Curriculum: Cybersecurity
Italian2I6
MATHEMATICAL METHODS FOR ARTIFICIAL INTELLIGENCE
Curriculum: Artificial intelligence
2whole year12
MEDICAL IMAGING
In all curricula
Italian2I6
NUMERICAL METHODS FOR INFORMATION TECHNOLOGIES
Curriculum: Cybersecurity
Italian2I6
OPTIMIZATION METHODS
In all curricula
Italian2II6
OPTIONAL SUBJECT
In all curricula
Italian2whole year12
STATISTICAL METHODS FOR DATA SCIENCE
Curriculum: Artificial intelligence
English2II6
USEFUL KNOWLEDGE FOR ENTERING THE WORLD OF WORK
In all curricula
2II3

Free-choice training activities

UnitPeriodCFU
Group SCELTA AFFINI II ANNO
CFU (University training credits) required: 6
Group SCELTA LIBERA
CFU (University training credits) required: 12
Group SCELTA AFFINI II ANNO
CFU (University training credits) required: 6
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