ISIS 4822 : Visual Analytics

Syllabus

Fall 2016

Instructors: José Tiberio HERNÁNDEZ / John Alexis GUERRA GÓMEZ

Lab sessions: COLIVRÍ y Turing

Description

• Visual Analytics is the field that combines techniques of interactive information visualization with the use of algorithms and methods of data analytics. It's main goal is the generation of insights that help users in the decision making process.
• Visual Analytics is used in diverse areas that include science, engineering, business and government. We can find different visual analytics applications in fields such as urban planning, gas explorations, finance, security, natural disasters, health monitoring among others.
• With this course you will learn the theoretical bases of Visual Analytics, as well as some fundamentals of rapid prototyping and practial applications.
• The course uses a multidisciplinary approach that aims to help the students learn the skills needed to develop visual anlytics projects in real life.

Tentative Schedule

• 08/02 Introduction
• 08/09 What, How and Why
• 08/16 Marks and Channels
• 08/23 Visualization Design
• 08/30 Multidimensional data
• 09/06 Spatial data
• 09/13Temporal
• 09/20 Networks
  Midterm
• 09/27 Break
• 10/04 Trees
• 10/11 HCI, Usability, Evaluation
• 10/18 Visualization techniques
• 11/01IEEEVis Summary
• 11/08 Visualization Techniques 2
• 11/15 Analytics

Grading

Concept	%
Midterm	15%
Final Exam	15%
Final project Call for proposals Submit a project proposal	40%
Homeworks	30%

Bibliography

• Tamara MUNZNER: Visualization Analysis and Design AK Peters 2014.
• Colin WARE: Visual Thinking for Design. Morgan Kaufman, 2008.