Training and Research
PhD Programme Courses/classes
Techniques and algorithms for biomechanics of movement
Credits: 2.5
Language: English
Teacher: Roberto Di Marco
Teranostica: dai materiali ai dispositivi
Credits: 3
Language: english
Teacher: Guilherme C. Concas, Nicola Daldosso
Advanced techniques for acquisition of biomedical images
Credits: 2.5
Language: Inglese
Teacher: Pietro Bontempi, Federico Boschi
Nanomaterials: synthesis, characterization and applications
Credits: 3
Language: English
Teacher: Francesco Enrichi, Guilherme Concas
AI Soft robotics: from nature to engineering
Credits: 1.5
Language: English
Teacher: Francesco Visentin
Dinamica dei sistemi multicorpo: modellistica e simulazione
Credits: 5
Language: Inglese / English.
Teacher: Iacopo Tamellin
3D modeling and analysis
Credits: 1
Language: Inglese
Teacher: Andrea Giachetti
Fixed Points, Feedback, and Adaptive Computation
Credits: 3
Language: Inglese
Teacher: Gloria Menegaz
Generative AI (part I)
Credits: 1.5
Language: English
Teacher: Marco Cristani
Generative AI (part II)
Credits: 1.5
Language: English
Teacher: Francesco Setti
Techniques and algorithms for biomechanics of movement (2025/2026)
Teacher
Referent
Credits
2.5
Language
English
Class attendance
Free Choice
Location
VERONA
Learning objectives
The course aims to provide PhD students with basic knowledge, taxonomy, principles and modelling of human motion, presenting state-of-the-art instruments (such as sterophotogrammetry, markerless systems and wearable devices) and approaches to evaluate the mechanics of motion for clinical evaluation and monitoring, and sports purposes. The course will provide attendees with the knowledge and language to interact with partners with different basic training (e.g., clinicians, physiotherapists, sports scientists) to effectively act on broad projects.
Prerequisites and basic notions
Solid background in geometry and algebra, and signal analysis. Knowledge of MATLAB and Python programming languages.
Bibliography
Didactic methods
Lectures: theory and demonstration of data analysis examples from various contexts.
Learning assessment procedures
n.a.
Assessment
n.a.
Criteria for the composition of the final grade
n.a.
Scheduled Lessons
| When | Classroom | Teacher | topics |
|---|---|---|---|
|
Friday 14 November 2025 16:00 - 18:00 Duration: 2:00 AM |
Ca' Vignal 1 - Auletta Atrio CV1 [T.H - terra] | Roberto Di Marco | Lezione 1 |
|
Friday 28 November 2025 16:00 - 18:00 Duration: 2:00 AM |
Ca' Vignal 1 - Auletta Atrio CV1 [T.H - terra] | Roberto Di Marco | Lezione 3 |
|
Friday 05 December 2025 16:00 - 18:00 Duration: 2:00 AM |
Ca' Vignal 1 - Auletta Atrio CV1 [T.H - terra] | Roberto Di Marco | Lezione 4 |
|
Friday 12 December 2025 16:00 - 18:00 Duration: 2:00 AM |
Ca' Vignal 1 - Auletta Atrio CV1 [T.H - terra] | Roberto Di Marco | Lezione 5 |
|
Friday 19 December 2025 16:00 - 18:00 Duration: 2:00 AM |
Ca' Vignal 1 - Auletta Atrio CV1 [T.H - terra] | Roberto Di Marco | Lezione 2 |
