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Single discipline educational activity
Course Sheet Academic Year of enrolment:
Disciplinary Sector:
Probability and Mathematical Statistics
Professor and Collaborators:
CAROLI COSTANTINI Cristina
Hours of classroom activity:
Prerequisites:
The student must have the basic notions of calculus and linear algebra.
Objectives Contents Feedforward deep neural networks, convolutional networks and possibly recurrent networks
Extended Syllabus 1. Elements of probability
Recommended Bibliography Methods of Provision Teaching Methods Lectures and programming lab.
Evaluation methods Verification of learning:
Knowledge and understanding
La conoscenza e capacità di comprensione raggiunta dallo studente verrà verificata attraverso il progetto finale assegnato dal docente e un colloquio in cui verranno discusse le metodologie scelte e i risultati ottenuti.
Knowledge and understanding will be tested by the final project assigned by the teacher and by an oral exam in which the methods that have been employed and the results that have been obtained in the project will be discussed.
Ability to apply knowledge and understanding
The ability to apply knowledge and understanding will be tested by the final project assigned by the teacher and by an oral exam in which the methods that have been employed and the results that have been obtained in the project will be discussed.
The final grade will be on the scale of 1 to 30.
