This module aims at introducing fundamental concepts of visual perception applied to information visualization. These concepts help the student ideate and evaluate visualization designs in terms of how well they leverage the capabilities of the human perceptual machinery.
提供方
學習Course的學生是
- Data Scientists
- Data Analysts
- Designers
- Business Analysts
- Machine Learning Engineers
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 2 小時
Applied Perception for Information Visualization
14 個視頻 （總計 95 分鐘）, 1 個測驗
14 個視頻
Introduction to the Course Video1分鐘
What is “Applied Perception”? Why Study It?9分鐘
Human Visual Processing System9分鐘
Saccadic Eye Movement5分鐘
Role of Attention In Visual Perception8分鐘
Visual Queries10分鐘
What We Can Easily See7分鐘
Recapitulation of Key Concepts7分鐘
Mapping Between Data Properties6分鐘
Expressiveness of Visual Channel8分鐘
Example 1 of How to Express Quantity With Different Channels3分鐘
Example 2 of How to Express the Idea of Order With Different Channels5分鐘
Example 3 of How to Express Categories With Different Channels4分鐘
1 個練習
Week 140分鐘
週
2完成時間為 3 小時
Effectiveness of Visual Channels
15 個視頻 （總計 91 分鐘）, 1 個閱讀材料, 1 個測驗
15 個視頻
Experiments in "Graphical Perception"6分鐘
Implications for Design (Accuracy)7分鐘
Discriminability5分鐘
Implications for Design (Discriminability)8分鐘
Salience (Pop-out)6分鐘
Non Preattentive Features7分鐘
Implications for Design (Salience)4分鐘
Separability4分鐘
Implications for Design (Separability)7分鐘
Grouping: Similarity and Proximity6分鐘
Grouping: Connection and Enclosure5分鐘
Hierarchy Within Grouping Techniques3分鐘
Grouping: Closure and Continuity3分鐘
Recapitulation4分鐘
1 個閱讀材料
Graphical Perception (Optional)45分鐘
1 個練習
Week 245分鐘
週
3完成時間為 3 小時
Color Perception and Color Spaces
10 個視頻 （總計 73 分鐘）, 3 個閱讀材料, 1 個測驗
10 個視頻
Few Examples: Misusing Color in Visualization5分鐘
Color Perception15分鐘
Color Specification4分鐘
Color Space: RGB7分鐘
Color Space: HSV / HSL6分鐘
Color Space: CIE Lab/ Luv Part 14分鐘
Color Space: CIE Lab/ Luv Part 27分鐘
Color Space: CIE Lch/ HCL9分鐘
Quick Summary4分鐘
3 個閱讀材料
Subtleties of Color, Part 120分鐘
How The Rainbow Color Map Misleads20分鐘
How NOT to Lie with Visualization20分鐘
1 個練習
Week 330分鐘
週
4完成時間為 5 小時
Using Color in Visualization
14 個視頻 （總計 117 分鐘）, 1 個閱讀材料, 1 個測驗
14 個視頻
Quantitative Color Scales5分鐘
Multi-hue Sequential Scales6分鐘
Categorical Color Scales Part 17分鐘
Categorical Color Scales Part 27分鐘
Diverging Color Scales7分鐘
Using Color to Highlight & Emphasize6分鐘
Perceptual Issues With Color12分鐘
Effect of Size4分鐘
Contrast Effects4分鐘
Luminance for Contrast3分鐘
Background and Perception5分鐘
Color Tools11分鐘
Interview with Bernice Rogowitz27分鐘
1 個閱讀材料
Subtleties of Color, Parts 2-510分鐘
4.9
14 個審閱50%
通過此課程獲得實實在在的工作福利
來自Information Visualization: Applied Perception的熱門評論
Excellent course for someone who is getting into data visualisation or business intelligence tools. Very well curated for the best of learning experience. Thanks a lot to Enrico Bertini and others!
I liked the approach of this course through human perception in Information Visualization and how they illustrate the subjects with everyday examples.
講師
Enrico Bertini
Associate ProfessorComputer Science and Engineering
Cristian Felix
PhD. CandidateComputer Science and Engineering
關於 纽约大学坦登工程学院
Tandon offers comprehensive courses in engineering, applied science and technology. Each course is rooted in a tradition of invention and entrepreneurship.
關於 信息可视化 專項課程
This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis.
The specialization is characterized by two main complementary features: (1) providing a strong understanding of visual perception and the theory of visual encoding to design and evaluate innovative visualization methods; (2) providing the necessary skills to develop advanced web-based applications for visual data analysis.
The specialization is organized around four courses that cover fundamentals, applied perception, advanced visualization method and interactive visualization.
The specialization is meant to prepare students to work on complex data science projects that require the development of interactive visual interfaces for data analysis. The courses can also be taken individually to improve relevant skills in visualization. For instance, the course on applied perception provides unique skills to evaluate and design innovative visualization in all sorts of scenarios.
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