- Docente: Petar Mihailo Djuric
- Crediti formativi: 3
- SSD: 0
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea Magistrale in Telecommunications engineering (cod. 9205)
Conoscenze e abilità da conseguire
The course is intended to extend knowledge on application fields and needs of evolving communication scenarios, to practice and develop interaction skills with lecturer and team working, to stimulate active learning.
Contenuti
The goals of the course are to teach students the fundamentals of Bayesian filtering including the concepts of recursive estimation of unknown processes from observed processes. The students will study various approaches to filtering and will learn how to apply them in real-world problems.
Testi/Bibliografia
Simo Särkkä, Bayesian Filtering and Smoothing, Cambridge University Press, 2013
Metodi didattici
The course will be offered online in a synchronous mode. The instructor will be presenting the planned topics and the students will have the opportunity to interrupt and ask questions during the lectures.
Modalità di verifica e valutazione dell'apprendimento
The students will work on projects where they will demonstrate their ability to implement specific Bayesian filtering methods.
Strumenti a supporto della didattica
Microsoft team.
Orario di ricevimento
Consulta il sito web di Petar Mihailo Djuric