- Level Foundation
- Duration 32 hours
- Course by University of Illinois Urbana-Champaign
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Offered by
About
This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences. You will develop visualization literacy, through being able to interpret/analyze (read) visualizations and create (write) your own visualizations. By the end of this course, you will: -Develop visualization literacy. -Learn the practicality of working with spatial data. -Understand what makes a scientific visualization meaningful. -Learn how to create educational visualizations that maintain scientific accuracy. -Understand what makes a scientific visualization cinematic. -Learn how to create visualizations that appeal to broad audiences. -Learn how to work with image-making software. (for those completing the Honors track)Modules
About the Course
1
Assignment
- Orientation Quiz
1
Videos
- Welcome to 3D Scientific Data Visualization!
3
Readings
- Syllabus
- About the Discussion Forums
- Online Education at Gies College of Business
About Your Classmates
1
Discussions
- Getting to Know Your Classmates
2
Readings
- Updating Your Profile
- Social Media
What is Visualization?
1
Assignment
- Week 1 Quiz 1: What Is Visualization?
2
Videos
- Introduction to Scientific Visualization
- Visualization Pipeline
Components of Scientific Visualization
1
Assignment
- Week 1 Quiz 2: Components of Scientific Visualization
4
Videos
- Computational Science
- Computer Graphics
- Rendering
- Moving Pictures
What Makes a Good Visualization?
1
Assignment
- Week 1 Quiz 3: What Makes a Good Visualization?
2
Videos
- Critiquing Visualization
- Data and Visualization Ethics
Week 1 Graded Assignment
1
Peer Review
- Week 1 Conceptual Assignment
Week 1 Optional Honors Assignment
1
Peer Review
- Week 1 Hands On Assignment
What Scientific Data Looks Like
1
Assignment
- Week 2 Quiz 1: What Scientific Data Looks Like
3
Videos
- Virtual Coordinates
- 3D Geometry
- Data Representation
Working with Data
1
Assignment
- Week 2 Quiz 2: Working with Data
3
Videos
- Finding and Using Data
- Computational Resources
- Optimization
How to Approach Loading Data into a New Tool
1
Assignment
- Week 2 Quiz 3: How to Approach Loading Data into a New Tool
3
Videos
- Software
- Transformations and Attributes
- Programming
Week 2 Graded Assignment
1
Peer Review
- Week 2 Conceptual Assignment
Week 2 Optional Honors Assignment
1
Assignment
- Week 2 Hands On Assignment: Part 1
1
Peer Review
- Week 2 Hands On Assignment: Part 2
Understanding Humans
1
Assignment
- Week 3 Quiz 1: Understanding Humans
3
Videos
- Storytelling
- Education
- Color
Designing for Human Perception
1
Assignment
- Week 3 Quiz 2: Designing for Human Perception
3
Videos
- Vision and Cameras
- Driving Visual Features with Data
- Abstraction and Representation
Refining Data
1
Assignment
- Week 3 Quiz 3: Refining Data
3
Videos
- Data Artifacts
- Previsualization
- Derived Data
Week 3 Graded Assignment
1
Peer Review
- Week 3 Conceptual Assignment
Week 3 Optional Honors Assignment
1
Peer Review
- Week 3 Hands On Assignment
Action, Camera, Lights!
1
Assignment
- Week 4 Quiz 1: Action, Camera, Lights!
3
Videos
- Camera Design
- Display Environments
- Lighting
Digital Cosmetics
1
Assignment
- Week 4 Quiz 2: Digital Cosmetics
2
Videos
- Designing Around the Data
- Image Artifacts
Finishing Touches
1
Assignment
- Week 4 Quiz 3: Finishing Touches
3
Videos
- Editing and Compositing
- Narration and Sound
- Packaging and Distribution
Week 4 Graded Assignment
1
Peer Review
- Week 4 Conceptual Assignment
Week 4 Optional Honors Assignment
1
Peer Review
- Week 4 Hands On Assignment
Conclusion of 3D Scientific Data Visualization
1
Videos
- Closing
1
Readings
- Course Credits

Kalina Borkiewicz

AJ Christensen