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Computer Lab

A.Y. 2024/2025
2
Max ECTS
24
Overall hours
SSD
INF/01
Language
Italian
Learning objectives
The courses related to the INF/01 sector - Computer Science aim to introduce students to the application of Information Technology tools according to a modern experimental approach. Within the framework of the course in Psychological Sciences for Prevention and Care, the teaching objective is to acquire knowledge of computer technologies for empirical research and professional practice. This is achieved through the illustration of concrete problems and tools, with a particular focus on the latest frontiers of Artificial Intelligence.
Expected learning outcomes
a. Knowledge and understanding. At the end of the course, students will have acquired an understanding of problems in light of the psychological theories acquired in their studies. b. Ability to apply knowledge and understanding. At the end of the course, students will be able to identify simple IT solutions related to theoretical and practical problems, combining IT methodologies and particularly Artificial Intelligence and psychological theories, having also gained communication skills of what has been learned.

Lesson period: First semester

Lessons timetable

Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato

Exams calendar

Single course

This course can be attended as a single course.

Take a single course
Course syllabus and organization

Single session

Responsible
Folgieri Raffaella
Course syllabus
Syllabus for attending and non-attending students
Intelligent Systems: Characteristics, differentiations between biological and artificial systems.
IT and its evolutions. Computer and Brain Models: Von Neumann, Parallel Computing, Learning Machines.
Logic (Boolean, Fuzzy). Classic ICT Systems, GOFAI, and modern AI systems (Machine Learning and ChatBOTS).
Artificial systems inspired by biology. Genetic algorithms, overview. Artificial Neural Network. Brain-Computer Interface. Theoretical models and practical examples.
Materials online: https://rfolgieriai.ariel.ctu.unimi.it/v5/Home/default.aspx
Lessons recording: No
Educational proposal for non-attendees: 2 lessons dedicated to non-attendees via video conference (Teams). These lessons will be taught remotely, recorded, and made available in the online environment. All details here: https://rfolgieriai.ariel.ctu.unimi.it/v5/Home/default.aspx
Program Validity: 1 academic year, as per the didactic regulations of the degree course.
Prerequisites for admission
Familiarity with computer systems. Basic knowledge of simple mathematical expressions.
Teaching methods
Theoretical and practical lessons, class discussions, analysis of research works.
Teaching Resources
- Intelligenza artificiale - Vol.2, un approccio moderno", 2° Edizione, di Peter Norvig e Stuart Russel, edito dalla Pearson
- Nilsson, The Quest for Artificial Intelligence: A History of Ideas and Achievements
- Dispense a cura del docente
- Altro materiale comunicato di volta in volta a lezione.
Assessment methods and Criteria
Oral discussion aiming at verifying the acquired knowledge. Students are expected to show understanding of problems and the ability to discuss and compare different perspectives related to the discipline, also in the light of psychology approaches. Students are also expected to be able to communicate properly the acquired knowledge.
INF/01 - INFORMATICS - University credits: 2
Laboratories: 24 hours
Professor: Folgieri Raffaella
Shifts:
Turno
Professor: Folgieri Raffaella
Professor(s)
Folgieri Raffaella
Reception:
Wednesday 11 am, also via Skype or Teams (contact me via e-mail)
Via Teams, Skype or in Via Festa del Perdono 7, Dipartimento di Filosofia, cortile Ghiacciaia, secondo piano (please, take an appointment via e-mail)