3D Data Visualization for Science Communication
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There are 6 modules in this course
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)
You will become familiar with the course, your classmates, and our learning environment.
What's included
1 video5 readings1 assignment1 discussion prompt1 plugin
1 videoβ’Total 3 minutes
- Welcome to 3D Scientific Data Visualization!β’3 minutes
5 readingsβ’Total 50 minutes
- Syllabusβ’15 minutes
- About the Discussion Forumsβ’5 minutes
- Online Education at Gies College of Businessβ’10 minutes
- Updating Your Profileβ’10 minutes
- Social Mediaβ’10 minutes
1 assignmentβ’Total 15 minutes
- Orientation Quizβ’15 minutes
1 discussion promptβ’Total 30 minutes
- Getting to Know Your Classmatesβ’30 minutes
1 pluginβ’Total 15 minutes
- New Plugin Itemβ’15 minutes
Week 1 is an introduction to the field of data visualization, as well as related fields like computational science and computer graphics. You will learn about different types of data visualization, and visualization best practices.
What's included
8 videos3 assignments2 peer reviews1 plugin
8 videosβ’Total 67 minutes
- Introduction to Scientific Visualizationβ’8 minutes
- Visualization Pipelineβ’8 minutes
- Computational Scienceβ’7 minutes
- Computer Graphicsβ’8 minutes
- Renderingβ’7 minutes
- Moving Picturesβ’7 minutes
- Critiquing Visualizationβ’10 minutes
- Data and Visualization Ethicsβ’12 minutes
3 assignmentsβ’Total 105 minutes
- Week 1 Quiz 1: What Is Visualization?β’30 minutes
- Week 1 Quiz 2: Components of Scientific Visualizationβ’45 minutes
- Week 1 Quiz 3: What Makes a Good Visualization?β’30 minutes
2 peer reviewsβ’Total 120 minutes
- Week 1 Conceptual Assignmentβ’30 minutes
- Week 1 Hands On Assignmentβ’90 minutes
1 pluginβ’Total 15 minutes
- Visualization Playgroundβ’15 minutes
Week 2 is all about data - how are spatial data represented in a computer? How is it formatted? Where can you find it, and how do you work with it?
What's included
9 videos4 assignments2 peer reviews
9 videosβ’Total 69 minutes
- Virtual Coordinatesβ’6 minutes
- 3D Geometryβ’7 minutes
- Data Representationβ’12 minutes
- Finding and Using Dataβ’4 minutes
- Computational Resourcesβ’6 minutes
- Optimizationβ’10 minutes
- Softwareβ’8 minutes
- Transformations and Attributesβ’6 minutes
- Programmingβ’9 minutes
4 assignmentsβ’Total 165 minutes
- Week 2 Quiz 1: What Scientific Data Looks Likeβ’45 minutes
- Week 2 Quiz 2: Working with Dataβ’30 minutes
- Week 2 Quiz 3: How to Approach Loading Data into a New Toolβ’30 minutes
- Week 2 Hands On Assignment: Part 1β’60 minutes
2 peer reviewsβ’Total 270 minutes
- Week 2 Conceptual Assignmentβ’30 minutes
- Week 2 Hands On Assignment: Part 2β’240 minutes
Week 3 is all about the human side of things. How do people learn? How do we perceive visual information? What makes certain methods of communication and education more effective? How do you find a story in a dataset, and how do you tell that story clearly and concisely?
What's included
9 videos3 assignments2 peer reviews
9 videosβ’Total 94 minutes
- Storytellingβ’13 minutes
- Educationβ’12 minutes
- Colorβ’11 minutes
- Vision and Camerasβ’9 minutes
- Driving Visual Features with Dataβ’12 minutes
- Abstraction and Representationβ’10 minutes
- Data Artifactsβ’8 minutes
- Previsualizationβ’10 minutes
- Derived Dataβ’9 minutes
3 assignmentsβ’Total 135 minutes
- Week 3 Quiz 1: Understanding Humansβ’45 minutes
- Week 3 Quiz 2: Designing for Human Perceptionβ’45 minutes
- Week 3 Quiz 3: Refining Dataβ’45 minutes
2 peer reviewsβ’Total 240 minutes
- Week 3 Conceptual Assignmentβ’60 minutes
- Week 3 Hands On Assignmentβ’180 minutes
Week 4 is about presenting your visualization in an engaging way to broad audiences with techniques like camera design, lighting, compositing, digital cosmetics, and other tricks from Hollywood. Youβll also learn how to package your visualization with sound, titles, and credits, and youβll learn how to distribute it to various types of audiences.
What's included
8 videos3 assignments2 peer reviews
8 videosβ’Total 77 minutes
- Camera Designβ’15 minutes
- Display Environmentsβ’6 minutes
- Lightingβ’10 minutes
- Designing Around the Dataβ’7 minutes
- Image Artifactsβ’7 minutes
- Editing and Compositingβ’14 minutes
- Narration and Soundβ’10 minutes
- Packaging and Distributionβ’7 minutes
3 assignmentsβ’Total 105 minutes
- Week 4 Quiz 1: Action, Camera, Lights!β’45 minutes
- Week 4 Quiz 2: Digital Cosmeticsβ’30 minutes
- Week 4 Quiz 3: Finishing Touchesβ’30 minutes
2 peer reviewsβ’Total 360 minutes
- Week 4 Conceptual Assignmentβ’120 minutes
- Week 4 Hands On Assignmentβ’240 minutes
Congratulations on reaching the end of the course!
What's included
1 video1 reading1 plugin
1 videoβ’Total 1 minute
- Closingβ’1 minute
1 readingβ’Total 10 minutes
- Course Creditsβ’10 minutes
1 pluginβ’Total 15 minutes
- End of Course Surveyβ’15 minutes
Instructors
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