3D Data Visualization for Science Communication

3D Data Visualization for Science Communication

Instructors: Kalina Borkiewicz

Access provided by Lam Research

4,961 already enrolled

6 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

14 assignments¹

AI Graded see disclaimer

Taught in English

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There are 6 modules in 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)

You will become familiar with the course, your classmates, and our learning environment.

What's included

1 video5 readings1 assignment1 discussion prompt1 plugin

1 video Total 3 minutes

Welcome to 3D Scientific Data Visualization! 3 minutes

5 readings Total 50 minutes

Syllabus 15 minutes
About the Discussion Forums 5 minutes
Online Education at Gies College of Business 10 minutes
Updating Your Profile 10 minutes
Social Media 10 minutes

1 assignment Total 15 minutes

Orientation Quiz 15 minutes

1 discussion prompt Total 30 minutes

Getting to Know Your Classmates 30 minutes

1 plugin Total 15 minutes

New Plugin Item 15 minutes

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.

What's included

8 videos3 assignments2 peer reviews1 plugin

8 videos Total 67 minutes

Introduction to Scientific Visualization 8 minutes
Visualization Pipeline 8 minutes
Computational Science 7 minutes
Computer Graphics 8 minutes
Rendering 7 minutes
Moving Pictures 7 minutes
Critiquing Visualization 10 minutes
Data and Visualization Ethics 12 minutes

3 assignments Total 105 minutes

Week 1 Quiz 1: What Is Visualization? 30 minutes
Week 1 Quiz 2: Components of Scientific Visualization 45 minutes
Week 1 Quiz 3: What Makes a Good Visualization? 30 minutes

2 peer reviews Total 120 minutes

Week 1 Conceptual Assignment 30 minutes
Week 1 Hands On Assignment 90 minutes

1 plugin Total 15 minutes

Visualization Playground 15 minutes

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?

What's included

9 videos4 assignments2 peer reviews

9 videos Total 69 minutes

Virtual Coordinates 6 minutes
3D Geometry 7 minutes
Data Representation 12 minutes
Finding and Using Data 4 minutes
Computational Resources 6 minutes
Optimization 10 minutes
Software 8 minutes
Transformations and Attributes 6 minutes
Programming 9 minutes

4 assignments Total 165 minutes

Week 2 Quiz 1: What Scientific Data Looks Like 45 minutes
Week 2 Quiz 2: Working with Data 30 minutes
Week 2 Quiz 3: How to Approach Loading Data into a New Tool 30 minutes
Week 2 Hands On Assignment: Part 1 60 minutes

2 peer reviews Total 270 minutes

Week 2 Conceptual Assignment 30 minutes
Week 2 Hands On Assignment: Part 2 240 minutes

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?

What's included

9 videos3 assignments2 peer reviews

9 videos Total 94 minutes

Storytelling 13 minutes
Education 12 minutes
Color 11 minutes
Vision and Cameras 9 minutes
Driving Visual Features with Data 12 minutes
Abstraction and Representation 10 minutes
Data Artifacts 8 minutes
Previsualization 10 minutes
Derived Data 9 minutes

3 assignments Total 135 minutes

Week 3 Quiz 1: Understanding Humans 45 minutes
Week 3 Quiz 2: Designing for Human Perception 45 minutes
Week 3 Quiz 3: Refining Data 45 minutes

2 peer reviews Total 240 minutes

Week 3 Conceptual Assignment 60 minutes
Week 3 Hands On Assignment 180 minutes

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.