ALGORITHM ANALYSIS AND DESIGN
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
Ricevimento: On request. In addition, on aulaweb there will be a discussion forum for questions and answer of general interest for all students.
Ricevimento: Appointment by email
Exam Board
ELENA ZUCCA (President)
PAOLA MAGILLO
ALESSANDRO VERRI (President Substitute)
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 |
---|---|---|---|---|
18/06/2021 | 09:00 | GENOVA | Scritto | |
09/07/2021 | 09:00 | GENOVA | Scritto | |
26/07/2021 | 09:00 | GENOVA | Scritto | |
07/09/2021 | 09:00 | GENOVA | Scritto |