INFORMATION VISUALIZATION, DATA SCIENCE AND SOCIAL MEDIA ANALYTICS MOD.1

Academic year

2021/2022 Syllabus of previous years

Official course title

INFORMATION VISUALIZATION, DATA SCIENCE AND SOCIAL MEDIA ANALYTICS MOD.1

Course code

FM0533 (AF:338873 AR:191118)

Modality

On campus classes

ECTS credits

6 out of 12 of INFORMATION VISUALIZATION, DATA SCIENCE AND SOCIAL MEDIA ANALYTICS

Degree level

Master's Degree Programme (DM270)

Educational sector code

INF/01

Period

1st Term

Course year

2

Where

VENEZIA

Moodle

Go to Moodle page

Contribution of the course to the overall degree programme goals

The course aims at providing an overview of concepts, methods and techniques for data exploration, analysis and visualisation, with particular emphasis on social media data (.e.g, YouTube, Facebook, Twitter). The course will also provide an introduction to network analysis.

Expected learning outcomes

- Using API to retrieve social media data
- Performing sentiment analysis and emotion detection on user data
- Analysing user interactions on social media
- Extracting conversational topics from social media discussions
- Identifying communities of interest (e.g., echo chambers)

Pre-requirements

- Basic computing knowledge (basic functions of the operating system, web browsing, e-mail, Office working suites, search engines)
- Good knowledge of Python (or equivalent, e.g., R)

Contents

- Introduction to data science and social media analysis
- Working with API
- Data and Information Visualisation
- Topic Extraction
- Sentiment Analysis
- Network Analysis

Non attending students are invited to contact the instructor.

(This outline may be subject to change)

Referral texts

- Easley, David, and Jon Kleinberg. Networks, crowds, and markets. Vol. 8. Cambridge: Cambridge university press, 2010.
- Wilke, Claus O. Fundamentals of data visualization: a primer on making informative and compelling figures. O'Reilly Media, 2019.

Assessment methods

The final oral exam consists of theoretical questions about the course content, and of the presentation of a project previously agreed with the instructor.

Teaching methods

Frontal interactive lessons, group work

Teaching language

English

Type of exam

oral

2030 Agenda for Sustainable Development Goals

This subject deals with topics related to the macro-area "Human capital, health, education" and contributes to the achievement of one or more goals of U. N. Agenda for Sustainable Development

Definitive programme.

Last update of the programme: 09/09/2021