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.

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 magistrale in Ingegneria e scienze informatiche - 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
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
INF/01
Altre attivita' formative
4
F
-
ModulesCreditsTAFSSD
12
B
ING-INF/05
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
INF/01
Altre attivita' formative
4
F
-
Modules Credits TAF SSD
Between the years: 1°- 2°

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S02709

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.

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

Learning outcomes

The goal of this course is to introduce some advanced paradigms for algorithms development and analysis in order to determine good approximate solutions for hard optimization problems.

Program

Main concepts recall about computational problems: definition, instances, encoding, precise and approximate models. Optimization computational problem.
Main concepts recall about algorithms: computational resources, input encoding, input size/cost, computational time. Worst and average analysis. Computational time and growth order.
Computational time vs. hardware improvements: main relations. Efficient algorithms and tractable problems.

Divide et impera paradigm
-------------------------
Definition and application to some problems.

Greedy paradigm
---------------
Definition and application to some problems. Matroids and greedy algorithms.

Backtracking technique
----------------------
Definition and application to some problems.

Branch & Bound technique
------------------------
Definition and application to some problems.

Dynamic programming paradigm
----------------------------
Definition and application to some problems.
Memoization and Dynamic programming.

Local search tecnique
---------------------
Definition and application to some problems.

Approximations algorithms
-------------------------
Definition and some application examples.
Simulated annealing.
Tabù search.

Probabilistic algorithms
------------------------
Definition and few application examples.
Numerical probabilistic algorithms, Monte Carlo algorithms and Las Vegas algorithms. Examples: Buffon's needle, Pattern Matching and Universal hashing.

Reference texts
Author Title Publishing house Year ISBN Notes
Sanjoy Dasgupta, Christos Papadimitriou, Umesh Vazirani Algorithms (Edizione 1) McGraw-Hill Higher Education 2007 978-0-07-352340-8 Testo secondario
Alan Bertossi Algoritmi e strutture dati (Edizione 1) UTET 2000 88-7750-611-3 Testo secondario
T. Cormen, C. Leiserson, R. Rivest, C. Stein Introduzione agli Algoritmi e Strutture Dati (Edizione 2) McGraw-Hill 2005 88-386-6251-7 Testo consigliato per la prima parte del corso
Steven S. Skiena The Algorithm Design Manual (Edizione 2) Springer 2008 9781848000698 Testo secondario per il corso ma ottimo come manuale di riferimento per un'ampia classe di problemi.

Examination Methods

The examination consists of a written test (at the same time as the other two module tests) that lasts 1 hour (all tests together last 3 hours). The grade in this module is worth 1/3 of the grade in the Algorithms examination.

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