Probabilistic Methods for Informatics

A.Y. 2024/2025
6
Max ECTS
48
Overall hours
SSD
INF/01
Language
Italian
Learning objectives
This course is devoted to study probabilistic tools and techniques used in general in different fields of Computer Science. In particular, a specific goal is to familiarize students with probabilistic methods and notions used in the design and analysis of randomized algorithms.
Expected learning outcomes
A first expected outcome is the knowledge of a set of probabilistic notions and methods used in designing algorithms and more generally in computational and informatics applications. Students will learn to make probabilistic arguments and proofs in Computer Science contexts. In particular, they are expected to learn to apply to new simple problems the probabilistic methods studied in the analysis of classical randomized algorithms.
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

Responsible
Lesson period
Second semester
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Shifts:
Turno
Professor: Goldwurm Massimiliano