用于科学传播的三维数据可视化

3D Data Visualization for Science Communication

901 次查看
伊利诺伊大学香槟分校
Coursera
  • 完成时间大约为 19 个小时
  • 简单(初级)
  • 英语
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

课程概况

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)

课程大纲

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!

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