Inizio della pagina -
Logo dell'Università degli Studi di Milano-Bicocca
Visita la Versione ad elevata leggibilità
Vai al Contenuto della pagina
Vai alla Fine dei contenuti
Vai al Menu Principale
Vai alla Barra di navigazione (sei in)
Vai al Menu di navigazione (albero)
Vai alla Lista dei comandi
Vai alla Lista degli approfondimenti
Vai al Menu inferiore
|Lista dei comandi|
Summer School on Rough Sets: Decision Making, Data Mining, Knowledge Representation


The first Summer School by the University of Milano-Bicocca on Rough Sets is organized in collaboration with the International Rough Set Society, in particular with the Task Group on Education. The school’s aim is to introduce Ph.D. students and researchers at the early stages of their career to the Rough Set field.
Rough Sets were introduced in the early ‘80s by Prof. Z. Pawlak to deal with imperfect knowledge. Over the years, the subject has attracted many researchers and practitioners, bringing in great developments both in theory and application. They have found interaction with many other related disciplines. Thus, the school is also of interest to those working in related disciplines, such as Decision Making, Knowledge Representation, Data Mining and Big Data.
The Program focuses on in-depth theory along with practical application in each of the above-mentioned discipline areas. The faculty is international, who are renowned researchers and scholars on different aspects of rough sets.
Program methodology is highly participative, encouraging interaction and communication between the participants and the faculty. There’ll be ample time for discussion and informal meetings for exchange of knowledge and information.

Poster Session

A poster session will be organized where students could discuss present their work in the form of a Poster.


All students will be awarded a certificate of participation, based on minimum 75% of attendance in-class and all other activities associated with the program. Those interested in an official recognition of the ECTS credits should pass an exam, which may be either in the form of a poster presentation or a paper submission within a period of 2 months of the completion of the program.

Contents covered:

The Program will cover the basics and theoretical aspects of rough sets as well as its main application domains.

A total of 6 courses will be covered:

Introduction to Rough Sets, Andrzej Skowron University of Warsaw (Poland)

Rough Sets and Decision Making, Salvatore Greco Università di Catania (Italy)

Rough Sets and Knowledge Representation, Yiyu Yao, University of Regina (Canada)

Theoretical Foundations, Jouni Jarvinen, TXODDS and Lappeenranta University of Technology (Finland)

Rough Sets and Data Mining/Learning, Hung Son Nguyen University of Warsaw (Poland)

Rough sets and Big Data, Tianrui Li, University of Chengdu (China)

Scientific Committee:

Davide Ciucci, University of Milano-Bicocca

Chris Cornelis, University of Granada

Dominik Slezak, University of Warsaw

Program Coordinator: Prof. Davide Ciucci Location: University of Milano-Bicocca Application Deadline:  15th May 2016

Prerequisites: BA Degree in Computer Science /Mathematics or working background on the program topics                                         

Requested documents to be uploaded in the application form: CV and Passport/ID card Target Audience: Ph.D. Students, MSc students, Researchers at the early stage of their career   

For further information, Contact:  CREDITS: 3 CFU 

TUITION: 450€ Covers lunches and coffee breaks, visit to Milan, welcome cocktail (150€ UNIMIB Ph.D. and Postdocs) DATES: 25th- 29th July  2016



 datamining bigdatafile


In archivio dal: 12/07/2017


© 2005-2016 Università degli Studi di Milano-Bicocca -
Piazza dell'Ateneo Nuovo, 1 - 20126, Milano • tel. 02 6448 1 • Casella PEC: • P.I. 12621570154 • Amministrazione trasparente
- ultimo aggiornamento di questa pagina 25/08/2017