|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-visualization-science-communication
课程评论：没有评论
课程名称：科学传播的3D数据可视化 概述：本课程介绍了3D科学数据可视化，重点在于科学传播和电影设计，使其吸引更广泛的观众。通过本课程，您将提高可视化素养，能够解读和创作自己的可视化作品。 课程目标： - 提高可视化素养。 - 学习空间数据的实用性。 - 理解科学可视化的意义。 - 学习如何创建既具教育意义又保持科学准确性的可视化作品。 - 理解科学可视化的电影美学。 - 学习如何制作吸引广泛观众的可视化作品。 - 掌握图像制作软件的使用（适用于荣誉课程学员）。 课程大纲： 第一部分：第一周 - 介绍 描述：第一周介绍数据可视化领域，以及计算科学和计算机图形学等相关领域。您将学习不同类型的数据可视化和可视化最佳实践。 第二部分：第二周 - 数据 描述：第二周重点讨论数据，探讨空间数据在计算机中的表示和格式、数据的获取以及如何处理这些数据。 第三部分：第三周 - 有意义的沟通 描述：第三周关注人类学习和视觉信息感知的方式。探讨哪些沟通和教育方法效果更佳，如何从数据集中找到故事并清晰简洁地讲述这些故事。 第四部分：结论 描述：恭喜您完成本课程！
Part: 1
Title:Week 1: Introduction
Description: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.
Part: 2
Title:Week 2: Data
Description: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?
Part: 3
Title:Week 3: Meaningful Communication
Description: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?
Part: 4
Title:Conclusion
Description:Congratulations on reaching the end of the 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)
