3D Data Visualization for Science Communication
Master 3D scientific data visualization techniques for effective science communication and audience engagement.
Master 3D scientific data visualization techniques for effective science communication and audience engagement.
Dive into the world of 3D scientific data visualization with a focus on science communication and cinematic design. This course teaches you how to create visually appealing and scientifically accurate visualizations that engage broad audiences. You'll develop visualization literacy, learn to work with spatial data, and master techniques for creating educational and cinematic visualizations. The curriculum covers the entire visualization process, from understanding data representation to applying Hollywood-style presentation techniques. Ideal for scientists, data analysts, and communicators looking to enhance their visual storytelling skills.
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What you'll learn
Develop visualization literacy - the ability to interpret, analyze, and create visualizations
Understand the practicalities of working with spatial data and 3D geometry
Learn techniques for creating meaningful and scientifically accurate visualizations
Master the art of storytelling with data and finding narratives in datasets
Apply principles of human perception and learning to enhance communication effectiveness
Use cinematic techniques like camera design, lighting, and compositing for engaging presentations
Skills you'll gain
This course includes:
5.11 Hours PreRecorded video
14 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course provides a comprehensive introduction to 3D scientific data visualization with an emphasis on effective science communication. Students will learn the fundamentals of working with spatial data, creating meaningful visualizations, and presenting them in a cinematic style. The curriculum covers data representation, visualization techniques, human perception, storytelling, and advanced presentation methods. Participants will gain hands-on experience in creating visualizations that are both scientifically accurate and visually engaging for broad audiences. The course combines theoretical knowledge with practical skills, preparing learners to create impactful scientific visualizations for various purposes.
Course Orientation
Module 1 · 1 Hours to complete
Week 1: Introduction
Module 2 · 5 Hours to complete
Week 2: Data
Module 3 · 8 Hours to complete
Week 3: Meaningful Communication
Module 4 · 7 Hours to complete
Week 4: Cinematic Presentation
Module 5 · 9 Hours to complete
Conclusion
Module 6 · 26 Minutes to complete
Fee Structure
Payment options
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Instructors
Pioneer in Scientific Visualization and Visual Effects
AJ Christensen serves as a visualization programmer at the National Center for Supercomputing Applications' Advanced Visualization Lab (AVL), where he combines expertise in computer science, animation, and scientific communication to create groundbreaking visual representations of complex data. With a BS in Computer Science from the University of Illinois at Urbana-Champaign, he has established himself as a hybrid programmer and visual designer, contributing to major productions including IMAX films "Hubble 3D" and "A Beautiful Planet," as well as the groundbreaking black hole visualization in Christopher Nolan's "Interstellar" with Double Negative studio
Visualization Programmer at the National Center for Supercomputing Applications
Kalina Borkiewicz is a visualization programmer at the Advanced Visualization Lab within the National Center for Supercomputing Applications at the University of Illinois Urbana-Champaign. Her primary focus is on developing software that processes and visualizes large scientific datasets generated at supercomputer centers. Recently, she has worked on Ytini, an open-source middleware that bridges the scientific analysis and visualization Python package, yt, with the visual effects software Houdini, making scientific visualization tools accessible to both artists and scientists. Kalina has contributed to notable films such as "A Beautiful Planet" (IMAX), "Birth of Planet Earth" (fulldome), and "Seeing the Beginning of Time" (4K), showcasing her expertise in cinematic scientific visualization. With a strong background in computer science, she is also passionate about promoting diversity, equity, and inclusion within the field.
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