Academic Year 2020/2021 - 2° Year
Teaching Staff: Mario Massimiliano SALFI
Credit Value: 5
Taught classes: 30 hours
Term / Semester:

Learning Objectives

At the end of the course, the student will learn the fundamental concepts of computer science, the encoding of information, the architecture of a computer, the operating systems and software applications. He will possess a global knowledge on the use of technology in a socio-psychological context (social media and communication, cyberbullying, sexting, etc.). He will also possess a global knowledge on the internet and computer networks, on the theory of databases, on projecting interfaces and forms for the administration of psychological tests, on the collection, aggregation and analysis of data from psychological tests. Finally, he will have an overview of topics related to neural networks, artificial intelligence, with reference to natural intelligence, and machine learning.

Course Structure

Lessons ed exercitation in classroom, assignment and correction of homeworks.

n.b. Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.

Detailed Course Content

1. Introduction to computer science
2. Encoding and representation of information
3. Architecture of computer
4. Operating system and software application
5. Computer networks and the Internet
6. Hypertexts and HTML code
7. Network security and malware
8. Social Media, Cyberbullying, Sexting e revenge porn.
9. Introduction to databases
10. Microsoft Access
11. Design of interfaces, masks and forms for the administration of psychological tests
12. Collection, aggregation and analysis of data from psychological tests
13. Fundamentals of natural and artificial intelligence and Neural networks
14. Artificial intelligence and cognitive psychology

Textbook Information

See on