0 or 3 credits
Fall 2026 Laboratory Lecture Upper Division
This capstone studio course serves as the culmination of the CGT data visualization major, preparing students for careers in the evolving field of data visualization. In an era driven by data, there is increasing demand for professionals who combine skills in design, programming, data analysis, and user-centered thinking. Building on prior coursework in design principles, coding, and visualization techniques, this course emphasizes creating sophisticated, trustworthy, and interactive visualizations using real-world datasets. Students will explore advanced methods including database-driven dashboards, network and graph visualizations, and the integration of AI/ML concepts into visualization practice. Storytelling principles are emphasized to help students craft meaningful narratives from complex data. Class sessions blend short lectures, critiques, and extensive studio-based labs where students develop projects iteratively with feedback from peers and the instructor. Through multiple mini-projects and a final capstone project, students will hone their ability to manage end-to-end data visualization pipelines, address issues of bias and ethics, and design for specific audiences. By the end of the course, students will be able to confidently design, implement, and communicate complex visualization solutions suited for professional practice.
Learning Outcomes1Design and develop advanced data visualizations using real-world data.
2Evaluate visualizations for clarity, integrity, audience alignment, and ethical considerations, including bias and accessibility critically.
3Build and communicate data pipelines from collection to final display.
4Apply storytelling principles to complex data to create meaningful narratives.
5Present and defend visualization work with clarity and professionalism.
Prerequisites
Restrictions
made by Purdue students.