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85008 - BIG DATA FOR THE SOCIAL SCIENCES

Anno Accademico 2021/2022

                
                        Docente:
                        Oltion Preka
                    
                        Crediti formativi:
                        8
                    
                        SSD:
                        SPS/04
                    
                        Lingua di insegnamento:
                        Inglese
                    
                        Moduli:
                        
                            Oltion Preka
                            (Modulo 1)
                        
                            Enzo Loner
                            (Modulo 2)
                        
                        Modalità didattica:
                        
                                    Convenzionale - Lezioni in presenza (Modulo 1)
                                
                                    Convenzionale - Lezioni in presenza (Modulo 2)
                                
                            Campus:
                            Bologna
                        
                            Corso:
                            Laurea Magistrale in
                            International relations (cod. 9084)

                            Risorse didattiche su Virtuale

Conoscenze e abilità da conseguire

By the end of the course, studemts will be alble to: 1) Understand the foundations of big data, including it’s foundations in computing technology and statistics. 2) Understand the social implications of increased knowledge, surveillance, and behavioral prediction made possible by big data, and the ethical tradeoffs faced. 3) Demonstrate the ability to formulate specific study questions concerning cybersth use of big datay. 4) Understand accepted tools and practices concerning the use of the internet for social purposes. 5) Demonstrate the ability to communicate complex concepts to multidisciplinary teams including students from computing and international affairs backgrounds. 6) Be familiar with text mining techniques.

Contenuti

The course aims at teaching students how the large volume of data (Big Data), that is becoming increasingly available, can be exploited to better understand and explain social phenomena.
More specifically, throughout the course we will be exploring the applications of PYTHON (a general purpose programming language) and its main packages such as Pandas, Matplotlib, NLTK, for data analysis and visualization of social data, including Twitter and/or other social media.

Testi/Bibliografia

These are required readings for the class:

Mueller, John Paul (2014) Beginning programming with Python for Dummies, eBook available free for all students here link [http://sol.unibo.it/SebinaOpac/query/python%20for%20dummies?context=catalogo]
Hanneman, R. A. & Riddle M. (2005) Introduction to Social Network Methods. Riverside, CA: University of California, Riverside (chapters 1,2,3,5,6,7,10,11). Available (free) online here: http://faculty.ucr.edu/~hanneman/

For those who are not familiar with Big Data in general (very easy reading):

Mayer-Schonberger V. & Cukier C. (2014) Big Data: A Revolution that will transform how we live, work and think, Eamon Dolan/Mariner Books.

In addition, students will be using class notes.

Strumenti a supporto della didattica

Python programming language (ANACONDA distribution)
Jupyter Notebook/Jupyter Lab
Google Colab

Orario di ricevimento

Consulta il sito web di Oltion Preka

Consulta il sito web di Enzo Loner

SDGs

L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.