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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The course 3D Data Visualization for Science Communication gives an introduction to 3D data visualisation and emphasises on cinematic design and science communication for attracting a wide range of audience. The candidates will build visualisation literacy, they will be able to write and create their own visualisations. The course is provided by The University of Illinois at Urbana-Champaign which is a top university when it comes to teaching, public engagement and research.
The course will cover a wide range of topics under 3D Data Visualization for Science Communication which includes an introduction to scientific visualisation, critiquing visualisation, computer graphics, visualising pipeline, 3D geometry, computational resources, programming, data representation, virtual coordinates, transformations and attributes, data artefacts, pre visualisation, camera design, image artefacts, to name a few.
This course will be purely taught online using lecture videos, quizzes, discussion forum and reference reading materials. The candidates will be expected to clear all the quizzes and tests included in the course to be eligible for being certified in the course if on the event of purchasing the certification.
The Highlights
- Online course
- Level – Beginner
- 32 hours to finish approximately
- Certificate is shareable
- Flexible deadlines
- Provided in English
- Certificate provided by Coursera
Programme Offerings
- online videos
- quizzes
- discussion forum
- Study material.
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 5046 | yes | Coursera |
Fee details for 3D Data Visualization for Science Communication is :
Head | Amount |
Total Fees | Rs. 5,046 |
Eligibility Criteria
Certification Qualifying Details
The candidates should complete all the weekly tests successfully to be eligible for receiving the certificate of completion for this programme.
What you will learn
After completing the course the candidates will:
- Learn how to read and write their own visualisation by developing visualisation literacy.
- Understand the factors that make scientific visualisation meaning
- Learn the in and outs of how to work with spatial data
- Will learn how to create visualisations that are educational with maintaining the scientific accuracy
- Understand the cinematic visualisation and the factors which support the same like the editing, display environments, compositing, lighting and other such factors.
- Learn how to make visualisations that catch the attention of a wide range of audience.
Who it is for
3D Data Visualization for Science Communication is for those looking for:
- Gaining a new skill
Application Details
If the candidate is interested to do this course they would have to follow the below steps to enroll:
Step 1: Visit the course link https://www.coursera.org/learn/data-visualization-science-communication
Step 2: After visiting the link click on Enroll.
Step 3: The candidate will have to choose either to purchase the course or audit only.
Step 4: After choosing either one option the candidate can start learning.
The Syllabus
Video
- Welcome to 3D Scientific Data Visualization!
Readings
- Syllabus
- About the Discussion Forums
- Online Education at Gies College of Business
- Updating Your Profile
- Social Media
Quiz
- Orientation Quiz
Discussion Prompt
- Getting to Know Your Classmates
Videos
- Introduction to Scientific Visualization
- Visualization Pipeline
- Computational Science
- Computer Graphics
- Rendering
- Moving Pictures
- Critiquing Visualization
- Data and Visualization Ethics
Assignments
- What Is Visualization?
- Components of Scientific Visualization
- What Makes a Good Visualization?
Peer Reviews
- Week 1 Conceptual Assignment
- Week 1 Hands On Assignment
Plugin
- Visualization Playground
Videos
- Virtual Coordinates
- 3D Geometry
- Data Representation
- Finding and Using Data
- Computational Resources
- Optimization
- Software
- Transformations and Attributes
- Programming
Assignments
- What Scientific Data Looks Like
- Working with Data
- How to Approach Loading Data into a New Tool
- Hands On Assignment: Part 1
Peer Reviews
- Week 2 Conceptual Assignment
- Week 2 Hands On Assignment: Part 2
Videos
- Storytelling
- Education
- Color
- Vision and Cameras
- Driving Visual Features with Data
- Abstraction and Representation
- Data Artifacts
- Previsualization
- Derived Data
Assignments
- Understanding Humans
- Designing for Human Perception
- Refining Data
Peer Reviews
- Week 3 Conceptual Assignment
- Week 3 Hands On Assignment
Videos
- Camera Design
- Display Environments
- Lighting
- Designing Around the Data
- Image Artifacts
- Editing and Compositing
- Narration and Sound
- Packaging and Distribution
Assignments
- Action, Camera, Lights!
- Digital Cosmetics
- Finishing Touches
Peer Reviews
- Week 4 Conceptual Assignment
- Week 4 Hands On Assignment
Video
- Closing
Reading
- Course Credits
Plugin
- End of Course Survey