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Program

BIG DIVE4 PROGRAM
 

FIRST WEEK SCHEDULE

8 – 12 June, 2015

#Development – Introduction
#DataScience – Introduction
#Visualization – Theory and history (key principles of visualization projects; paradigms, tools and frameworks to present datasets)
#Visualization – D3.js library (basic concepts and data interaction)
#Visualization – Intensive workshop: from zero to your first data visualization
#Development (optional) – Python introduction for “beginners”, software versioning, local virtual environment setting.
#Guest Lecture

SECOND WEEK PROGRAM

15 – 19 June, 2015

#Visualization – DIVERS Viz Works Presentation
#Development – Python language features and paradigms
#Development – Visualizing data on the web (HTTP protocol and WSGI protocol; splitting templates, logic and models in web application; TurboGears2 framework)
#Development – Python MrJob library
#DataScience – Statistics & data analysis
#Visualization – Exercises assignment
#Dataset Overview
#Guest Lecture

THIRD WEEK PROGRAM

22 – 26 June, 2015

#Visualization – #D3.js Advanced & exercise review
#DataScience – Machine Learning (theory, practice and workgroup)
#DataScience #Development – Python Libraries to manage Machine Learning
#Legal – Legal aspects of Big Data by NEXA Center for Internet and Society
#Guest Lecture

FOURTH WEEK PROGRAM

29 June – 3 July, 2015

#Development – Data storage (DB)
#Development – NumPy library By Python Academy Trainer
#Development – Performance Optimization (Javascript + Python: profiling and optimizing)
#DataScience – Network Science (basics, datasets and data formats, network analysis and visualization, NetworkX)
#Guest Lecture

FIFTH WEEK PROGRAM

6 – 10 July, 2015

#FinalProject – Workgroup
#Guest Lecture
#FinalProject – Project presentation

 
 
CONFIRMED GUEST LECTURES
 
NLP – Natural Language Processing by CELI
DATA DRIVEN INNOVATION by ISMB
SEMANTIC WEB by Michele Barbera/SpazioDati
Glasgow city BIG DATA project case study
Lecture by Iconsulting
Lecture by Bruno Gonçalves
Lecture by Benjamin Wiederkehr