Skip to main content
CODE 80306
ACADEMIC YEAR 2016/2017
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR INF/01
LANGUAGE Italiano
TEACHING LOCATION
SEMESTER 2° Semester
TEACHING MATERIALS AULAWEB

OVERVIEW

The aim of the course is to learn classical data structures and algorithms, and to analyze their correctness and efficiency. Base notions on complexity and elementary data structures are assumed as prerequisites. 

AIMS AND CONTENT

LEARNING OUTCOMES

To learn classical data structures and algorithms, and to be able to analyze their correctness and efficiency. Base notions on complexity and elementary data structures are assumed as prerequisites. Topics include design and analisys techniques, sorting algorithms, advanced data structures, graph algorithms, NP-completeness.

 

TEACHING METHODS

Traditional.

SYLLABUS/CONTENT

Design and analysis techniques, asymptotic notations, correctness and complexity of recursive and iterative algorithms, divide-et-impera, dynamic programming, greedy algoritms.

Sorting: simple sorts, mergesort, quicksort, heapsort, lower bound for comparison-based sorting algorithms, linear sorts.

Advanced data structures: heaps, union-find structures.

Graphs: definitions, representations, visits, topological sorting, strongly-connected components, single-source shortest paths (Dijkstra algorithm), minimum spanning tree (Prim and Kruskal algorithms). 

Theory of NP-completeness: complexity classes, NP-complete problems, approximation algorithms

 

RECOMMENDED READING/BIBLIOGRAPHY

Lecture notes.

Introduction to algorithms and data structures. Cormen, Leiserson, Rivest, Stein. McGraw Hill. 

TEACHERS AND EXAM BOARD

Exam Board

ELENA ZUCCA (President)

DAVIDE ANCONA

GIORGIO DELZANNO

PAOLA MAGILLO

LESSONS

EXAMS

EXAM DESCRIPTION

Written and oral exam.

ASSESSMENT METHODS

The written exam checks the ability of the student to apply in practice learned notions.

The oral exam checks the understanding of concepts and the ability to appropriately illustrate learned notions.

 

Exam schedule

Data appello Orario Luogo Degree type Note
07/06/2017 09:00 GENOVA Scritto
29/06/2017 09:00 GENOVA Scritto
19/07/2017 09:00 GENOVA Scritto
07/09/2017 09:00 GENOVA Scritto