COMPLEMENTS OF ALGORITHMS AND DATA STRUCTURES

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Code
80306
ACADEMIC YEAR
2017/2018
CREDITS
9 credits during the 3nd year of 8759 Computer Science (L-31) GENOVA
SCIENTIFIC DISCIPLINARY SECTOR
INF/01
LANGUAGE
Italian
TEACHING LOCATION
GENOVA (Computer Science)
semester
2° Semester
Teaching materials

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

Office hours: On request. In addition, on aulaweb there will be a discussion forum for questions and answer of general interest for all students.

Office hours: On request. In addition, on aulaweb there will be a discussion forum for questions and answer of general interest for all students.

Exam Board

ELENA ZUCCA (President)

DAVIDE ANCONA

GIORGIO DELZANNO

PAOLA MAGILLO

LESSONS

TEACHING METHODS

Traditional.

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

Date Time Location Type Notes
07/02/2018 09:00 GENOVA Scritto Aula 710
06/06/2018 09:00 GENOVA Scritto Aula 710
28/06/2018 09:00 GENOVA Scritto Aula 710
18/07/2018 09:00 GENOVA Scritto Aula 710
06/09/2018 09:00 GENOVA Scritto Aula 710