- Docente: Riccardo Rovatti
- Credits: 9
- SSD: ING-INF/01
- Language: Italian
- Moduli: Riccardo Rovatti (Modulo 1) Mauro Mangia (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Electronic Engineering (cod. 6716)
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from Sep 16, 2025 to Dec 19, 2025
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from Sep 15, 2025 to Dec 15, 2025
Learning outcomes
The course provides the basic mathematical tools for signal processing, with particular emphasis on the statistical model of information, the geometric perspective, the role of optimization, and a brief introduction to machine learning for neural networks. It applies these concepts to the definition and solution of typical fundamental problems: from linear filter synthesis to prediction, from spectrum estimation to noise modeling.
Course contents
The course provides the basic mathematical tools for signal processing, with particular emphasis on the statistical model of information, the geometric perspective, the role of optimization, and a brief introduction to machine learning for neural networks. It applies these concepts to the definition and solution of typical fundamental problems: from linear filter synthesis to prediction, from spectrum estimation to noise modeling.
Office hours
See the website of Riccardo Rovatti
See the website of Mauro Mangia
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.