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.
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About this Course
최근 조회 7,262회
Course을(를) 수강하는 학습자
- Data Scientists
- Designers
- Data Analysts
- Data Engineers
- Business Analysts
강의 계획 - 이 강좌에서 배울 내용
주
1완료하는 데 2시간 필요
Applied Perception for Information Visualization
14개 동영상 (총 95분), 1 quiz
14개의 동영상
Introduction to the Course Video1m
What is “Applied Perception”? Why Study It?9m
Human Visual Processing System9m
Saccadic Eye Movement5m
Role of Attention In Visual Perception8m
Visual Queries10m
What We Can Easily See7m
Recapitulation of Key Concepts7m
Mapping Between Data Properties6m
Expressiveness of Visual Channel8m
Example 1 of How to Express Quantity With Different Channels3m
Example 2 of How to Express the Idea of Order With Different Channels5m
Example 3 of How to Express Categories With Different Channels4m
1개 연습문제
Week 140m
주
2완료하는 데 3시간 필요
Effectiveness of Visual Channels
15개 동영상 (총 91분), 1 reading, 1 quiz
15개의 동영상
Experiments in "Graphical Perception"6m
Implications for Design (Accuracy)7m
Discriminability5m
Implications for Design (Discriminability)8m
Salience (Pop-out)6m
Non Preattentive Features7m
Implications for Design (Salience)4m
Separability4m
Implications for Design (Separability)7m
Grouping: Similarity and Proximity6m
Grouping: Connection and Enclosure5m
Hierarchy Within Grouping Techniques3m
Grouping: Closure and Continuity3m
Recapitulation4m
1개의 읽기 자료
Graphical Perception (Optional)45m
1개 연습문제
Week 245m
주
3완료하는 데 3시간 필요
Color Perception and Color Spaces
10개 동영상 (총 73분), 3 readings, 1 quiz
10개의 동영상
Few Examples: Misusing Color in Visualization5m
Color Perception15m
Color Specification4m
Color Space: RGB7m
Color Space: HSV / HSL6m
Color Space: CIE Lab/ Luv Part 14m
Color Space: CIE Lab/ Luv Part 27m
Color Space: CIE Lch/ HCL9m
Quick Summary4m
3개의 읽기 자료
Subtleties of Color, Part 120m
How The Rainbow Color Map Misleads20m
How NOT to Lie with Visualization20m
1개 연습문제
Week 330m
주
4완료하는 데 5시간 필요
Using Color in Visualization
14개 동영상 (총 117분), 1 reading, 1 quiz
14개의 동영상
Quantitative Color Scales5m
Multi-hue Sequential Scales6m
Categorical Color Scales Part 17m
Categorical Color Scales Part 27m
Diverging Color Scales7m
Using Color to Highlight & Emphasize6m
Perceptual Issues With Color12m
Effect of Size4m
Contrast Effects4m
Luminance for Contrast3m
Background and Perception5m
Color Tools11m
Interview with Bernice Rogowitz27m
1개의 읽기 자료
Subtleties of Color, Parts 2-510m
4.9
13개의 리뷰50%
이 강좌를 통해 확실한 경력상 이점 얻기
Information Visualization: Applied Perception의 최상위 리뷰
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!
Great course with essential material! The content is presented in a very thorough and engaging way by Bertini.
강사
Enrico Bertini
Associate ProfessorComputer Science and Engineering
Cristian Felix
PhD. CandidateComputer Science and Engineering
뉴욕 대학교 공과 대학 정보
Tandon offers comprehensive courses in engineering, applied science and technology. Each course is rooted in a tradition of invention and entrepreneurship.
정보 시각화 전문 분야 정보
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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