Training and Research
PhD Programme Courses/classes
Lezioni Dottorandi
Credits: 50
Language: inglese
Teacher: Sara Migliorini, Graziano Pravadelli, Ferdinando Cicalese, Giovanni Gerardo Muscolo, Alessandra Di Pierro, Rosalba Giugno, Massimo Merro, Mariano Ceccato, Silvia Francesca Storti, Enrico Gregorio, Matteo Cristani, Zsuzsanna Liptak, Lorenza Brusini, Florenc Demrozi
Big Data
Credits: 3
Language: English
Teacher: Damiano Carra
Chirurgia robotica
Credits: 4
Language: Italian
Teacher: Paolo Fiorini
Lezioni Dottorandi (2022/2023)
Academic staff
Ferdinando Cicalese, Lorenza Brusini, Mariano Ceccato, Matteo Cristani, Florenc Demrozi, Alessandra Di Pierro, Rosalba Giugno, Enrico Gregorio, Zsuzsanna Liptak, Massimo Merro, Sara Migliorini, Giovanni Gerardo Muscolo, Graziano Pravadelli, Silvia Francesca Storti
Referent
Credits
50
Language
inglese
Class attendance
Free Choice
Location
VERONA
Learning objectives
The aim of the PhD courses is to provide a wider and/or deeper understanding of (particularly most recent developments in) specific areas of research in the field of computer science.
Prerequisites and basic notions
Most courses only require basic competences of the type provided in a complete (bachelor+master) university programme in the area of mathematics and computer science
Program
The syllabus of each one of the courses offered can be found at the following link
https://www.di.univr.it/documenti/AttDidAva/allegato/allegato187517.pdf
Bibliography
Didactic methods
Lectures and exercises
Learning assessment procedures
see the description of the individual courses at
https://www.di.univr.it/documenti/AttDidAva/allegato/allegato187517.pdf
Assessment
level of comprehension of the topic and ability to elaborate with the new concepts.
Criteria for the composition of the final grade
Pass / fail
