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.
3D Data Visualization for Science Communication
일리노이대학교 어버너-섐페인캠퍼스이 강좌에 대하여
최근 조회 8,853회
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 32시간 필요
영어
자막: 영어
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 32시간 필요
영어
자막: 영어
제공자:
일리노이대학교 어버너-섐페인캠퍼스
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 1시간 필요
Course Orientation
You will become familiar with the course, your classmates, and our learning environment.
완료하는 데 1시간 필요
1개 동영상 (총 3분), 4 개의 읽기 자료, 1 개의 테스트
4개의 읽기 자료
Syllabus15m
About the Discussion Forums5m
Updating Your Profile10m
Social Media10m
1개 연습문제
Orientation Quiz15m
완료하는 데 5시간 필요
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.
완료하는 데 5시간 필요
8개 동영상 (총 67분)
8개의 동영상
Visualization Pipeline7m
Computational Science7m
Computer Graphics7m
Rendering7m
Moving Pictures6m
Critiquing Visualization10m
Data and Visualization Ethics11m
3개 연습문제
Week 1 Quiz 1: What Is Visualization?30m
Week 1 Quiz 2: Components of Scientific Visualization45m
Week 1 Quiz 3: What Makes a Good Visualization?30m
완료하는 데 8시간 필요
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?
완료하는 데 8시간 필요
9개 동영상 (총 69분)
9개의 동영상
3D Geometry7m
Data Representation11m
Finding and Using Data4m
Computational Resources6m
Optimization10m
Software7m
Transformations and Attributes6m
Programming9m
4개 연습문제
Week 2 Quiz 1: What Scientific Data Looks Like45m
Week 2 Quiz 2: Working with Data30m
Week 2 Quiz 3: How to Approach Loading Data into a New Tool30m
Week 2 Hands On Assignment: Part 11시간
완료하는 데 8시간 필요
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?
완료하는 데 8시간 필요
9개 동영상 (총 94분)
9개의 동영상
Storytelling13m
Education12m
Color10m
Vision and Cameras9m
Driving Visual Features with Data12m
Abstraction and Representation9m
Data Artifacts7m
Previsualization9m
Derived Data9m
3개 연습문제
Week 3 Quiz 1: Understanding Humans45m
Week 3 Quiz 2: Designing for Human Perception45m
Week 3 Quiz 3: Refining Data45m
완료하는 데 9시간 필요
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.
완료하는 데 9시간 필요
8개 동영상 (총 77분)
8개의 동영상
Display Environments6m
Lighting9m
Designing Around the Data7m
Image Artifacts7m
Editing and Compositing13m
Narration and Sound9m
Packaging and Distribution7m
3개 연습문제
Week 4 Quiz 1: Action, Camera, Lights!45m
Week 4 Quiz 2: Digital Cosmetics30m
Week 4 Quiz 3: Finishing Touches30m
완료하는 데 11분 필요
Conclusion
Congratulations on reaching the end of the course!
완료하는 데 11분 필요
1개 동영상 (총 1분), 1 개의 읽기 자료
1개의 동영상
Closing1m
1개의 읽기 자료
Course Credits10m
자주 묻는 질문
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