Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Master's degree in Artificial intelligence - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1 module among the following2 modules among the following2 modules among the following2 modules among the followingLegend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Computational epistemology and philosophy (2022/2023)
Teaching code
4S010698
Credits
6
Coordinator
Not yet assigned
Language
Italian
Scientific Disciplinary Sector (SSD)
M-FIL/02 - LOGIC AND PHILOSOPHY OF SCIENCE
The teaching is organized as follows:
Philosophy
Credits
3
Period
Sem. 1B
Academic staff
Roberto Giacobazzi
Computational epistemology
Credits
3
Period
Sem. 1B
Academic staff
Roberto Giacobazzi
Learning objectives
The course is an introduction to the Contemporary Philosophy of Science, with the aim of highlighting the most meaningful moments in the development of the Science and the philosophical issues which are involved in. Expected outcomes:
• to be able to critically examine the fundamental assumptions of Positivism, the relationship between the twentieth century “linguistic turn” of Philosophy and the Philosophy of Science and, finally, the implications of the sociological methodology when applied to epistemological subjects, in order to
• understand the conceptual grounds of the Philosophy of Science (i.e., realism, objectivity, experimental evidence, limits of validity, etc.);
• to master the Epistemological lexicon;
• to actively participate in the debates concerning developments (even the most recent ones) in the field of the Philosophy of Science.
Program
The course aims to give answers (certainly not definitive) to a fundamental question: What is the value of science in the contemporary debate? To tackle this problem, understand its scope and stimulate curiosity, we will study a specific case: computer science as information science. We will see how this "new" science was born and place it in the broader history of science, what are its epistemological foundations, its limits, its ambitions towards an artificial intelligence, and how this is placed in the economic, ethical, and social context.
Course content:
1) Positivism and determinism: automata, machines, constructivism: from C. Babbage to A. Turing
2) Language and specification: syntax and semantics: machines, languages, data, algorithms, computing
3) The limits of computable: Information and computational thinking, substitutability, falsifiability, objectification of information, Data-Science vs Computer Science
4) Artificial Intelligence e philosophy
5) Ethics and digital philosophy
Learning assessment procedures
The exam consists in an individual seminar on topics covered in class and agreed with the teacher.
