View syllabus
VISUAL ANALYTICS
SALVATORE RINZIVILLO
Academic year2019/20
CourseDATA SCIENCE AND BUSINESS INFORMATICS
Code602AA
Credits6
PeriodSemester 2
LanguageItalian

ModulesAreaTypeHoursTeacher(s)
VISUAL ANALYTICSINF/01LEZIONI48
SALVATORE RINZIVILLO unimap
Learning outcomes
Knowledge

The trained student will acquire knowledge and skills to design and implement an effective visual representation of data and models

Assessment criteria of knowledge

The student should prepare a project presenting a case study of the realization of a visual interface to explore and analyze a dataset.

The project should define a set of hypothesis and it should demonstrate how they are verifiable through the visual exploration

Skills

Expertise in data visualization libraries for the web, like d3.js, bootstrap, vue.js, plotly.js, node.js

Assessment criteria of skills

The students should exploit the technologies presented during the class to realize an effective visualization for the web.

Prerequisites

Basic knowledge of programming languages for the web: Javascript, HTML, CSS

Teaching methods

The class will be divided into two parts: i) theory of visualization and congnition; ii) technologies for visualization for the web

Syllabus

Theory of Visualization

  • Taxonomy of different types of data visualization: hierarchies, relational data, temporal data, spatial data, unstructured data (text)
  • Visual Analytics Process
  • Strategies and best practices for Effective data visualization
  • Discussion of Case Studies 

Technologies for visualization

  • Overview of development environments and visual libraries
  • Design of a visual analytics project
Bibliography

All didactic material is availavle at: http://didawiki.cli.di.unipi.it/doku.php/magistraleinformaticaeconomia/va/start

Execercise and code available on GIT: https://github.com/VA602AA-master

Non-attending students info

Non attending students can follows the class by the material published on the web page of the course

Assessment methods

Realization of a project and oral discussion of the result.

The student should prepare a project presenting a case study of the realization of a visual interface to explore and analyze a dataset.

The project should define a set of hypothesis and it should demonstrate how they are verifiable through the visual exploration

Updated: 27/05/2020 10:47