Selection outcome 10 oct 2015

Public selection outcome (MindSee project - 10 October 2015)

The winner of the public examination for the research assistant (assegnista) position within the MindSee project  described here is Patrik Pluchino. The formal decision document is appended below. 

ORDER-OF-MAGNITUDE ESTIMATION TECHNIQUES - (FERMI PROBLEMS)

Giovanni Zanzotto
Department of General Psychology, University of Padova
Email: giovanni.zanzotto[at]unipd.it

SSD:
MAT/07

Aim:
We hear numbers everywhere, are they good, are they bad? The deficit of a country is 1 trillion Euro. We consume 175 liters of water every day. Do these figures make sense? How should we respond? This class gives introductory lessons to order-of magnitude estimation, with opportunity to practice in reference to one’s environment at the widest separations of scales, from molecules to astronomical objects.

BMCS 2015-2016 ACTIVITY - OPENING EVENT


20 November 2015

PROGRAM

 

(Room LuFi, Via Luzzatti 8)

18:00

SERIOUS GAMES: PRINCIPLES AND APPLICATIONS

Anna Spagnolli
Department of General Psychology and HIT centre, University of Padua
email: anna.spagnolli[at]unipd.it

Luciano Gamberini
Department of General Psychology and HIT centre, University of Padua
email: luciano.gamberini[at]unipd.it

SSD:
M-PSI/01, M-PSI/05, M-PSI/06

Aim:

INTRODUCTION TO MACHINE LEARNING

Fabio Aiolli
Department of Mathematics, University of Padova
email: aiolli[at]math.unipd.it

SSD:
INF/01

Aim:

Methodological foundations and statistics - Part A

Massimo Grassi
Department of General Psychology, University of Padua
email: massimo.grassi[at]unipd.it

SSD:
PSI-03

Aim:

Methodological foundations and statistics - Part B

Massimo Nucci
Department of General Psychology, University of Padua
email: massimo.nucci[at]unipd.it

SSD:
PSI-03

Aim:
The aim of Methodological foundations and statistics (Part A and B) is to introduce the student to the methodology and the statistics in use in life sciences and informatics research. The aim of part B group of lectures is to introduce the student to the methodology and the statistics in use in life sciences and informatics research

Syllabus:
1. Descriptive statistics

ADVANCED TOPICS IN MACHINE LEARNING


Prof. Alessandro Sperduti, sperduti@math.unipd.it, Department of Mathematics

SECURITY AND PRIVACY ISSUES IN NOVEL TECHNOLOGIES

Mauro Conti
Department of Mathematics and HIT Center, University of Padua
email: conti[at]math.unipd.it

SSD:
INF/01 - Computer Science

Aim:
The course will provide an introduction to a selection of research topics in privacy and security in novel technologies

Course contents:

Syndicate content