International Master of II level in Visual Computing and Multimedia Technologies in the Deep Learning era

MuMeT 2017 is an international Master of second level of the University of Modena and Reggio Emilia, co-sponsored by Italian MIUR (Ministero della Istruzione, Università e Ricerca) in the National Technology Clusters

The MUMET II level Master wants to create new professional figures with advanced knowledge on the emerging technologies in visual computing, vision and machine learning, and intelligent multimedia systems. There is now a large market request and a very few availability of expertise in these fields, required for new generations of intelligent computing systems both for industry 4.0 and for creative and cultural industry in smart cities and communities.

Master home page

Thesis @ AImageLab

A thesis lab is the place that you will spend much of the next several months of your life. The work you do in your thesis lab will influence the work you do in the rest of your career. Recommendation you receive from your thesis advisor will determine what options will be open to you after you receive your degree. Choosing your thesis lab is an important decision, so take it seriously and make it carefully.

Look at the list of available theses at AImageLab .

Courses held by AImageLab staff

Insegnamento Corso DocenteAnno Accademico
Calcolatori Elettronici e Lab. Laurea Ing. Informatica - 2 anno Prof. Rita Cucchiara, Prof. Simone Calderara 2016/2017
Calcolatori Elettronici Laurea Ing. Elettronica - 2 anno Prof. Roberto Vezzani, Prof. Simone Calderara, Prof. Paolo Santinelli 2016/2017
Architettura dei Calcolatori Laurea Informatica - 1 anno Prof. Roberto Vezzani 2016/2017
Fondamenti di Informatica Laurea Ing. Informatica - 1 anno Prof. Costantino Grana 2016/2017
Visione Artificiale Laurea Magistrale Ing. Informatica - 2 anno Prof. Rita Cucchiara 2016/2017
Pattern Recognition and Machine Learning Laurea Magistrale Ing. Informatica - 1 anno Prof. Simone Calderara 2016/2017

Il sito di gestione della didattica Imagelab è disponibile al seguente indirizzo: