Columbia University is offering a free online course on Animation and CGI Motion. This course will show you how to create lifelike animations focusing on the technical aspects of CGI animation and also give you a glimpse into how studios approach the art of physically-based animation.
In this 12 week course, applicants will learn the science behind movie animation from the Director of Columbia’s Computer Graphics Group. The course will start on July 24, 2017.
Course At A Glance
Length: 12 weeks
Effort: 8-10 hours pw
Subject: Computer Science
Institution: Columbia University and edx
Certificate Available: Yes, Add a Verified Certificate for $ 300
Session: Course Starts on July 24, 2017
Columbia University is one of the world’s most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis.
About This Course
How do you create realistic animations? How do you predict the motion of materials? It’s key to the success of animated films to ensure (was insure) audiences believe in characters.
Why Take This Course?
This course will show you how to create lifelike animations focusing on the technical aspects of CGI animation and also give you a glimpse into how studios approach the art of physically-based animation.
- To code your own physics simulator to master the fundamental algorithms for creating lifelike animations clothing, hair, liquids, rigid bodies and more!
- Temporal integration of the equations of motion
- Formulation of mathematical models for mechanical systems
- Numerical methods for treating contact and impact
- Lagrangian and Eulerian representations of continual control of physical models
Professor Eitan Grinspun
Eitan Grinspun is the Associate Professor of Computer Science at Columbia Engineering and director of the Columbia Computer Graphics Group. He is an Alfred P. Sloan Research Fellow and NSF CAREER Award recipient and was previously a NVIDIA Fellow and a Caltech Everhart Distinguished Lecturer.
- Programming knowledge in C or C++, multivariable calculus (partial derivatives), linear algebra, enthusiasm.
- Recommended background: introductory classical mechanics.
- NOT-requisites: physics, computer graphics are not required. We will present introductions to these topics along the way, as needed.
How To Join This Course
- Go to the course website link
- Create an edX account to SignUp
- Choose “Register Now” to get started.
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