INTRODUCTION TO DATA VISUALIZATION
Introduction to topics such as perception, cognition, communication, design, implementation, applications, tools, and evaluation. Provides a broad survey of the field and covers fundamental concepts, theory, and tools in data visualization with opportunities for hands-on activities. Gain real-world experience in designing and evaluating visualizations.
Prerequisites & course information
Requisites: COMP SCI 320 , 400 , or Graduate/Professional Standing Course Designation: Level - Advanced L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Spring 2024 Learning Outcomes: 1. Differentiate between visualizations to communicate within situational context. Audience: Undergraduate 2. Illustrate the types of properties that make visualizations more effective. Audience: Undergraduate 3. Apply techniques and algorithms for creating effective visualizations based on principles and techniques from graphic design, visual art, perceptual psychology, and cognitive science. Audience: Undergraduate 4. Utilize visualization creation tools in individual and group assignment Audience: Undergraduate Learning Outcomes: 1. Differentiate between visualizations to communicate within situational context. Audience: Undergraduate 2. Illustrate the types of properties that make visualizations more effective. Audience: Undergraduate 3. Apply techniques and algorithms for creating effective visualizations based on principles and techniques from graphic design, visual art, perceptual psychology, and cognitive science. Audience: Undergraduate 4. Utilize visualization creation tools in individual and group assignment Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027