Overview

Description

CALENDAR DESCRIPTION:

Focuses on the design and implementation of interactive computer visualization techniques for the analysis, comprehension, and explanation of large collections of abstract information. The application of principles from perception, information visualization, interaction and visual analytics will be covered. Introduces tools for programming geometric information and displaying the results. Emphasizes development of practical skills in using graphics libraries and tools: students will develop programming experience with relevant examples and techniques.

COURSE DETAILS:

This course focuses on the design and implementation of interactive computer visualization techniques for the analysis, comprehension and explanation of large collections of digital data. The application of principles from perception, information visualization, interaction and visual analytics will be covered. Introduces tools for programming geometric information and displaying the results. Emphasizes development of practical skills in using graphics libraries and tools; students will develop programming experience with relevant examples and techniques.

COURSE-LEVEL EDUCATIONAL GOALS:

Courses Objectives:

By the end of this course, students will be able to:

Design and implement interactive visualization and visual analytics techniques to support human activities

Describe visualization design guidelines, explain the guidelines in terms of human perception and cognition

Describe major sub-disciplines within the fields of visualization and visual analytics

Delivery Method: Lecture (LEC) and Open Lab (OPL)

Learning Activities:
This course is divided into three parts: introduction to basic graphics for information visualization, techniques, algorithms and methods for interactive information analysis and visual analytics. 

1. Foundations of Visualization: students learn how the representation of simple visual forms supports or impedes perception and interpretation of their meaning. Perceptual and cognitive issues are covered. Basic design principles for visual encoding are introduced and motivated with practical examples, based on design principles from perception and visual attention
2. Information Visualization: students are introduced to methods of representing and interacting with complex collections of abstract information, including techniques based on color, space and order, trees, graphs and networks, detail and context, filtering, brushing and navigation. They learn the basics of two-dimensional representations through graphical two-dimensional transformations, using Javascript and the visualization toolkit D3.
3. Visual Analytics: students are introduced to dealing with large volumes of dynamic data and the ideas of linking computational/analysis techniques with interactive informational visualization methods

Students will learn both theoretical methods and practical programming implementations using modern web-based languages and tools.

Grading

Materials

REQUIRED READING:

RECOMMENDED READING: