Probabilistic Methods for Informatics
A.Y. 2025/2026
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.
Lesson period: Second four month period
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
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 four month period
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professor:
Goldwurm Massimiliano
Shifts:
Turno
Professor:
Goldwurm MassimilianoProfessor(s)