Training and Research

PhD Programme Courses/classes

This page shows the PhD course's training activities for the academic year 2024/2025. Further activities will be added during the year. Please check regularly for updates!

Instructions for teachers: lesson management

Modelli dinamici e simulazione di sistemi multibody

Credits: 5

Language: English

Teacher:  Iacopo Tamellin

Advanced techniques for acquisition of biomedical images

Credits: 1

Language: Ingelese

Teacher:  Pietro Bontempi, Federico Boschi

Theranostics: from materials to devices

Credits: 1

Language: english

Teacher:  Nicola Daldosso, Tommaso Del Rosso

Nanomaterials: synthesis, characterization and applications

Credits: 1

Language: English

Teacher:  Francesco Enrichi, Tommaso Del Rosso

Brain Computer Interfaces

Credits: 3

Language: Inglese

Teacher:  Silvia Francesca Storti

Algorithmic motion planning in robotics

Credits: 1

Language: Italian

Teacher:  Paolo Fiorini

Data visualization

Credits: 1

Language: Inglese

Teacher:  Andrea Giachetti

Modellazione e analisi 3D

Credits: 1

Language: Inglese

Teacher:  Andrea Giachetti

Sistemi Ciber-Fisici nell’Industria 4.0: Modellazione, Reti e Intelligenza

Credits: 3

Language: English

Teacher:  Enrico Fraccaroli

Modelli di Intelligenza Artificiale Spiegabile: stato dell'arte, promesse e sfide

Credits: 2.5

Language: Inglese

Teacher:  Gloria Menegaz

Foundation of Robotics Autonomy

Credits: 1

Language: Italian

Teacher:  Paolo Fiorini

Generative AI

Credits: 1.5

Language: English

Teacher:  Francesco Setti

Modeling and Verification of Digital Systems

Credits: 1.5

Language: Italian

Teacher:  Franco Fummi, Nicola Bombieri, Graziano Pravadelli

Soft robotics: from nature to engineering

Credits: 1.5

Language: English

Teacher:  Francesco Visentin

Techniques and algorithms for biomechanics of movement

Credits: 2.5

Language: English

Teacher:  Roberto Di Marco

Credits

1

Language

Inglese

Class attendance

Free Choice

Location

VERONA

Learning objectives

The course is aimed at learning advanced techniques of geometric and photometric 3D modeling

Prerequisites and basic notions

Basic knowledge of geometry, graphics and visual computing

Program

Modeling of geometry and materials in Computer Graphics Light fields encoding: nerf, gaussian splatting Inverse rendering, problems and algorithms

Didactic methods

frontal lessons

Learning assessment procedures

scientific article presentation

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Assessment

Understanding of the topics and critical re-elaboration will be assessed.

Criteria for the composition of the final grade

single test

Scheduled Lessons

When Classroom Teacher topics
Monday 15 September 2025
10:00 - 13:00
Duration: 3:00 AM
Ca' Vignal 2 - M [68 - 1°] Andrea Giachetti Stato dell'arte
Wednesday 17 September 2025
10:00 - 13:00
Duration: 3:00 AM
Ca' Vignal 2 - M [68 - 1°] Andrea Giachetti Test sperimentali
Friday 19 September 2025
10:00 - 12:00
Duration: 2:00 AM
Ca' Vignal 2 - M [68 - 1°] Andrea Giachetti Conclusioni