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)
- Research Assistants
- Data Scientists
- Researchers
- Teachers
- Professors
シラバス - 本コースの学習内容
Course Orientation
You will become familiar with the course, your classmates, and our learning environment.
Week 1: Introduction
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.
Week 2: Data
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?
Week 3: Meaningful Communication
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?
Week 4: Cinematic Presentation
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. You’ll also learn how to package your visualization with sound, titles, and credits, and you’ll learn how to distribute it to various types of audiences.
Conclusion
Congratulations on reaching the end of the course!
講師
Kalina Borkiewicz
Visualization Programmer
AJ Christensen
Visualization Designer/Programmerイリノイ大学アーバナ・シャンペーン校（University of Illinois at Urbana-Champaign）について
よくある質問
いつ講座や課題にアクセスできるようになりますか？
修了証に登録すると、すべてのビデオ、テスト、およびプログラミング課題（該当する場合）にアクセスできます。ピアレビュー課題は、セッションが開始してからのみ、提出およびレビューできます。購入せずにコースを検討することを選択する場合、特定の課題にアクセスすることはできません。
修了証を購入すると何を行えるようになりますか？
修了証を購入する際、コースのすべての教材（採点課題を含む）にアクセスできます。コースを完了すると、電子修了証が成果のページに追加されます。そこから修了証を印刷したり、LinkedInのプロフィールに追加したりできます。コースの内容の閲覧のみを希望する場合は、無料でコースを聴講できます。
返金ポリシーについて教えてください。
学資援助はありますか？
さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。
