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

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2016/2017 A.A. 2015/2016 A.A. 2014/2015 A.A. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011 A.A. 2009/2010

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 Computer Science and Engineering - Enrollment from 2025/2026

The 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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
INF/01
6
B
ING-INF/05
6
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/05

2° Year   activated in the A.Y. 2010/2011

ModulesCreditsTAFSSD
6
B
ING-INF/05
6
B
INF/01
Tre insegnamenti a scelta tra i seguenti
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
SECS-P/10
6
C
INF/01
6
C
INF/01
6
C
FIS/01
Altre attivita' formative
4
F
-
24
E
-
ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
INF/01
6
B
ING-INF/05
6
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/05
activated in the A.Y. 2010/2011
ModulesCreditsTAFSSD
6
B
ING-INF/05
6
B
INF/01
Tre insegnamenti a scelta tra i seguenti
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
SECS-P/10
6
C
INF/01
6
C
INF/01
6
C
FIS/01
Altre attivita' formative
4
F
-
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
8
D
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Algorithms - INTELLIGENZA ARTIFICIALE  (2009/2010)

Teaching code

4S02709

Teacher

Maria Paola Bonacina

Credits

4

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

Period

1st Semester dal Oct 1, 2009 al Jan 31, 2010.

Web page

http://profs.sci.univr.it/~bonacina/teachingUniVR/IA2009-10.html

Seminars 0

To show the organization of the course that includes this module, follow this link:  Course organization

Learning outcomes

The class presents the main techniques for problem solving, based on the central paradigm of symbolic representation. The objective is to provide the students with the ability to design, apply and evaluate algorithms for difficult problems, meaning that their mechanical solution captures aspects of artificial intelligence or computational rationality.

Program

Problem solving as search in a state space; un-informed search procedures; informed search procedures and heuristic search. Constraint problem solving. Knowledge representation: use of propositional logic and first-order logic; normal forms; equality. Algorithms for satisfiability (SAT). Theorem proving: resolution and rewriting.

Reference texts
Author Title Publishing house Year ISBN Notes
Stuart Russell, Peter Norvig Artificial Intelligence: A Modern Approach (Edizione 2) Prentice Hall 2003 0137903952 Testo adottato
Judea Pearl Heuristics: Intelligent search strategies for computer problem solving (Edizione 1) Addison Wesley 1985 0-201-0559 Testo complementare
Stuart Russell, Peter Norvig Intelligenza artificiale: Un approccio moderno (Edizione 2) Pearson Education Italia 2005 88-7192-22 Traduzione italiana del testo adottato
Chin-Liang Chang, Richard Char-Tung Lee Symbolic Logic and Mechanical Theorem Proving (Edizione 1) Academic Press 1973 0121703509 Testo complementare

Examination Methods

The grade in Artificial Intelligence is worth 1/3 of the grade in the Algorithms exam, and it is determined by the grade in a written test.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE