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BIG DIVE 3rd Edition


BIG DIVE 3 WEEKLY PROGRAM

FIRST WEEK SCHEDULE

MONDAY, JUNE 9th
10:00-11:00 Welcome at Temporary Museum – Corso Verona 15/C
11:00-13:00 Introduction & Get-together
13:00-14:30 Lunch
14:30-15:30 Dev Intro by Axant #Development
15:30-16:30 DataScience Intro by ISI #Datascience
TUESDAY, JUNE 10th
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 Guest Lecture: Massimo Botta #Visualization
11:00-11:30 Break
11:30-13:30 Guest Lecture: Massimo Botta #Visualization
13:30-14:30 Lunch
14:30-16:30 Viz intensive #Visualization
16:30-18:00 (optional) Python intro for dummies #Development
WEDNESDAY, JUNE 11th
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 Guest Lecture: Paolo Ciuccarelli #Visualization
11:00-11:30 Break
11:30-13:30 Guest Lecture: Paolo Ciuccarelli #Visualization
13:30-14:30 Lunch
14:30-16:30 Viz intensive #Visualization
THURSDAY, JUNE 12th
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 Viz intensive: from Zero to your first data visualization #Visualization
11:00-11:30 Break
11:30-13:30 Viz intensive: from Zero to your first data visualization #Visualization
13:30-14:30 Lunch
14:30-16:30 Viz intensive: from Zero to your first data visualization #Visualization
FRIDAY, JUNE 13th
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 (optional) Python intro for dummies #Development
11:00-11:30 Break
11:30-13:30 Viz intensive: from Zero to your first data visualization #Visualization
13:30-14:30 Lunch
14:30-16:30 Viz intensive #Visualization

SECOND WEEK SCHEDULE

MONDAY, JUNE 16th
09:00-09:30 Gathering in TOP-IX headquarters
09:00-11:00 Viz Intensive #Visualization
11:00-11:30 Break
11:30-13:30 DIVERS Works Presentation
13:30-14:30 Lunch
14:30-16:30 MrJob #Development
TUESDAY, JUNE 17th
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 MrJob #Development
11:00-11:30 Break
11:30-13:30 MrJob #Development
13:30-14:30 Lunch
14:30-16:30 Statistics & Data Analysis by Bruno Goncalves #Data Science
WEDNESDAY, JUNE 18th
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 Statistics & Data Analysis by Bruno Goncalves #Data Science
11:00-11:30 Break
11:30-13:30 Statistics & Data Analysis Workshop #Data Science
13:30-14:30 Lunch
14:30-16:30 Guest lecture: Luca Aiello #Data Science
THURSDAY, JUNE 19th
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 Adding a web layer to dataviz #Development
11:00-11:30 Break
11:30-13:30 Adding a web layer to dataviz #Development
13:30-14:30 Lunch
14:30-15:30 Cerved Dataset Presentation
15:30-16:30 Startup Network Dataset Presentation
FRIDAY, JUNE 20th
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 (optional)Legal aspect of data by Federico Morando (NEXA)
11:00-11:30 Break
11:30-13:30 Legal aspect of data by Federico Morando (NEXA) #Visualization

THIRD WEEK SCHEDULE

MONDAY, JUNE 23th
09:00-09:30 Gathering in TOP-IX headquarters
09:00-11:00 D3.js Advanced & Exercise review #Visualization
11:00-11:30 Break
11:30-13:30 D3.js Advanced & Exercise review #Visualization
13:30-14:30 Lunch
14:30-16:30 Natural Language Processing by CELI #BIG DATA
TUESDAY, JUNE 24th
San Giovanni Holiday
WEDNESDAY, JUNE 25th
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 SciKit by Valerio Maggio #Development
11:00-11:30 Break
11:30-13:30 SciKit by Valerio Maggio #Development
13:30-14:30 Lunch
14:30-16:30 Machine Learning by Alina Sîrbu #Data Science
THURSDAY, JUNE 26th
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 Machine Learning by Alina Sîrbu #Data Science
11:00-11:30 Break
11:30-13:30 Practical Machine Learning #Data Science
13:30-14:30 Lunch
14:30-17:30 Regesta Dataset Presentation
FRIDAY, JUNE 27th
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 Machine Learning Workgroup #Data Science
11:00-11:30 Break
11:30-13:30 Machine Learning Workgroup #Data Science

FOURTH WEEK SCHEDULE

MONDAY, JUNE 30th
09:00-09:30 Gathering in TOP-IX headquarters
09:00-11:00 Legal aspect of data by Alessandro Mantelero (NEXA Center)
11:00-11:30 Break
11:30-13:30 Legal aspect of data by Alessandro Mantelero (NEXA Center)
13:30-14:30 Lunch
14:30-16:30 iCoolhunt Dataset Presentation
TUESDAY, JULY 1st
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 Fetching Data #Development
11:00-11:30 Break
11:30-13:30 Fetching Data #Development
13:30-14:30 Lunch
14:30-16:30 Network Science by Laetitia Gauvin #Data Science
WEDNESDAY, JULY 2nd
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 Performance Optimization #Development
11:00-11:30 Break
11:30-13:30 Performance Optimization #Development
13:30-14:30 Lunch
14:30-16:30 Network Science by Laetitia Gauvin #Data Science
THURSDAY, JUNE 3rd
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 Network Science Workgroup #Data Science
11:00-11:30 Break
11:30-13:30 Network Science Workgroup #Data Science
13:30-14:30 Lunch
14:30-15:30 GET ITALIA Dataset Presentation
FRIDAY, JULY 4th
09:00-09:30 Gathering in TOP-IX headquarters
09:30-11:00 Group definition and project brainstorming
11:00-11:30 Break
11:30-13:30 Group definition and project brainstorming

FITFTH WEEK SCHEDULE

MONDAY, JULY 7th
09:00-13:00 Final Project Workgroup
13:00-14:00 Lunch
14:00-18:00 Final Project Workgroup
TUESDAY, JULY 8th
09:00-13:00 Final Project Workgroup
13:00-14:00 Lunch
14:30-16:30 Joachim De Beule Lecture #datascience
16:30-18:00 Final Project Workgroup
WEDNESDAY, JULY 9th
09:00-13:00 Final Project Workgroup
13:00-14:00 Lunch
14:00-18:00 Final Project Workgroup
THURSDAY, JULY 10th
09:00-13:00 Final Project Workgroup
13:00-14:00 Lunch
14:00-18:00 Final Project Workgroup
FRIDAY, JULY 11th
10:00-13:00 WRAP-UP & Closing

 


THIRD EDITION FINAL PROJECTS

#icoolhuntcolor

#icoolhuntcolor / iCoolhunt Dataset 
A project by: Claudio Bellei, Gordon Hatusupy, Bryan Iotti

The project is aimed at analyzing the iCoolhunt dataset in order to find possible correlations between color space and emerging trends.
Through a filtering system, based on tag and categories, the users can discover the relationships between the images.
The developed platform allows also to upload a new image and to analyse it by comparing its parameters with other images in the same category.
Video


#opendeputies

#opendeputies / dati.camera.it Dataset (with the collaboration by Regesta) 
A project by: Luca Ferreri, Vito Mandorino, Lorenzo Napolitano

The project analyzes the open dataset (available on dati.camera.it) containing data from Italian chamber of deputies (people, mandates, votes, etc…).
The model shows the vote patterns in order to compare group affiliation and party strategy with the actual behavior of politicians.
The final goal is the search for a possible predictive model based on the vote analysis, that could be used for example to anticipate government crisis.
Video


#huntology

#huntology / iCoolhunt Dataset
A project by: Meltem Gürel, Vahan Nanumyan

The group work is focused on two main goals:
– creating an ontology based on color psychology;
– building a platform for the exploration of the iCoolhunt images.
The users may explore the images through clusters and filters in order to have a detailed analysis of tags and most dominant colour for each image. Furthermore the model provides a kind of prediction for the semantic attributes related to the pictures.
GitHub repository / Video


#it_startup

#it_startup / Cerved Dataset
A project by: Orion Penner, Carlo Recchia

The core concept of the project is the importance of “networks” for a successful startup.
The data analysis allowed to investigate the geographical relationships. The visual representation shows firstly an overview about the Italian startup scene (the cities with the largest number of startups and the relative average revenues) and then it allows to analyze in details how the startups are linked to other cities.
Presentation / Video


#truckwisdom

#truckwisdom / GetItalia Dataset
A project by: Carlo Bergoglio, Matteo Chinazzi, Marcin Kaszynski, Pierre Prinetti

The group work focused on using the dataset from GetItalia to track vehicles (mainly trucks) mobility over the Italian territory. The two main goals are:
– identifying more used paths. A practical usage of this information would be a kind of truckpooling or path optimization for the shipment companies;
– identifying lack in gas station coverage over the territory based on the stop (for refueling) analysis.
According to the model developed a kind of prediction system could be implemented.
GitHub repository / Video