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:
Laurea in Informatica - 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
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Mathematical analysis 1
Computer Architecture
2° Year activated in the A.Y. 2023/2024
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3° Year activated in the A.Y. 2024/2025
Modules | Credits | TAF | SSD |
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1 module among the following
Modules | Credits | TAF | SSD |
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Mathematical analysis 1
Computer Architecture
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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1 module among the following
Modules | Credits | TAF | SSD |
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Legend | 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.
Logic [Matricole pari] (2022/2023)
Teaching code
4S00084
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
Semester 1 dal Oct 3, 2022 al Jan 27, 2023.
Learning objectives
The class offers an introduction to logic as a tool for rational inquiry and abstract thinking, and as a foundation of computer science. Students get exposure to logical languages, learning how to understand, express, and connect concepts in this languages. Students learn how to build models and proofs of logical formulae in one or more deductive systems. They acquire the skills to understand, formulate, and assess formal arguments expressed in one or more logics, as well as the preparation to pursue further studies in artificial intelligence and theory of computing.
Prerequisites and basic notions
none
Program
Propositional Logic
-Propositions and Connectives,
-Semantics,
-Natural Deduction,
-Soundness, Completeness
PredicateLogic
- Quantifiers
- Structures
- The Language of a Similarity Type
- Semantics,
- Identity,
- NaturalDeduction
- Soundness, Completeness
- Natural Deduction and Identity
Formalisation of properties in predicate logic.
- Properties and functions of the natural numbers e.g.:
“n is a prime number”, “m is the sum of two natural numbers”, etc.
- Mathematical theories
Bibliography
Didactic methods
Lessons in class with the help of blackboard and slides
Learning assessment procedures
Written exam consisting of 5 open questions. The questions can be statements of theorems, proofs (explained in class) and exercises.
Evaluation criteria
The evaluation is aimed at testing the comprehension of the concepts explained in class
Criteria for the composition of the final grade
Each exercise is awarded 7 points. Any mark higher than 30 involves the attribution of honors.
Exam language
Italiano