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UIUC - 3D Data Visualization for Science Communication 

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3D Data Visualization for Science Communication
 at 
Coursera 
Overview

Duration

32 hours

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Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

3D Data Visualization for Science Communication
 at 
Coursera 
Highlights

  • Earn a shareable certificate upon completion.
  • Flexible deadlines according to your schedule.
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3D Data Visualization for Science Communication
 at 
Coursera 
Course details

Skills you will learn
More about this 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)
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3D Data Visualization for Science Communication
 at 
Coursera 
Curriculum

Course Orientation

Welcome to 3D Scientific Data Visualization!

Syllabus

About the Discussion Forums

Updating Your Profile

Social Media

Orientation Quiz

Introduction to Scientific Visualization

Visualization Pipeline

Computational Science

Computer Graphics

Rendering

Moving Pictures

Critiquing Visualization

Data and Visualization Ethics

Week 1 Quiz 1: What Is Visualization?

Week 1 Quiz 2: Components of Scientific Visualization

Week 1 Quiz 3: What Makes a Good Visualization?

Week 2: Data

Virtual Coordinates

3D Geometry

Data Representation

Finding and Using Data

Computational Resources

Optimization

Software

Transformations and Attributes

Programming

Week 2 Quiz 1: What Scientific Data Looks Like

Week 2 Quiz 2: Working with Data

Week 2 Quiz 3: How to Approach Loading Data into a New Tool

Week 2 Hands On Assignment: Part 1

Week 3: Meaningful Communication

Storytelling

Education

Color

Vision and Cameras

Driving Visual Features with Data

Abstraction and Representation

Data Artifacts

Previsualization

Derived Data

Week 3 Quiz 1: Understanding Humans

Week 3 Quiz 2: Designing for Human Perception

Week 3 Quiz 3: Refining Data

Week 4: Cinematic Presentation

Camera Design

Display Environments

Lighting

Designing Around the Data

Image Artifacts

Editing and Compositing

Narration and Sound

Packaging and Distribution

Week 4 Quiz 1: Action, Camera, Lights!

Week 4 Quiz 2: Digital Cosmetics

Week 4 Quiz 3: Finishing Touches

Closing

Course Credits

3D Data Visualization for Science Communication
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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