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In this course, you will learn :
- Improve your visualisation literacy.
- How to work with spatial data in a practical way.
- Comprehensively comprehend what makes a scientific visualisation meaningful.
- How to make educational visualisations that are scientifically accurate.
- Comprehensively comprehend what makes a scientific visualisation cinematic.
- How to create visualisations that are appealing to a wide range of audiences.
- How to use image-creation software. (For those who have completed the Honors track)
Syllabus :
1. Introduction
- Introduction to Scientific Visualization
- Visualization Pipeline
- Computational Science
- Computer Graphics
- Rendering
- Moving Pictures
- Critiquing Visualization
- Data and Visualization Ethics
2. Data
- Virtual Coordinates
- 3D Geometry
- Data Representation
- Finding and Using Data
- Computational Resources
- Optimization
- Software
- Transformations and Attributes
- Programming
3. Meaningful Communication
- Storytelling
- Education
- Color
- Vision and Cameras
- Driving Visual Features with Data
- Abstraction and Representation
- Data Artifacts
- Previsualization
- Derived Data
4. Cinematic Presentation
- Camera Design
- Display Environments
- Lighting
- Designing Around the Data
- Image Artifacts
- Editing and Compositing
- Narration and Sound
- Packaging and Distribution
