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Animation and CGI Motion

Animation and CGI Motion


(4 customer reviews)
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8.0/10 (Our Score)
Product is rated as #77 in category Computer Science

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. 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. You will learn the fundamental concepts of physical simulation, including: integration of ordinary differential equations such as those needed to predict the motion of a dress in the wind. formulation of models for physical phenomena such as crumpling sheet metal and flowing water. treatment of discontinuities such as fractures and collisions. simulation of liquids and solids in both Lagrangian and Eulerian coordinates. artistic control of physically–based animations. These concepts will be put into practice in the programming assignments spanning: Discretizing and integrating Newton’s equations of motion Constrained Lagrangian Mechanics Collisions, contact, and friction: detection and response Continuum mechanics Finite elements Rigid body simulation Thin shell and cloth simulation Elastic rod and hair simulation Fluid simulation

Instructor Details

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 an NVIDIA Fellow and a Caltech Everhart Distinguished Lecturer. The technologies developed by his laboratory are licensed and/or used today in Adobe Photoshop and Illustrator, at major film studios, including Disney, Pixar, LucasFilm, and Weta Digital, in medical research at several universities, and in physics research at institutions like MIT, Universite Paris VI, University of Toronto, etc. His work has been profiled in major media outlets, including Scientific American and The New York Times. Grinspun was Professeur d'Universite Invite in Paris at l'Universite Pierre et Marie Curie in 2009, and a research scientist at the Courant Institute of Mathematical Sciences from 2003 to 2004. received his Ph.D. from the California Institute of Technology in 2003, after completing his undergraduate degree in Engineering Science from the University of Toronto in 1997.

Specification: Animation and CGI Motion


108 hours









4 reviews for Animation and CGI Motion

3.5 out of 5
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  1. Anonymous

    The course took much more time than the 8 10 hours per week advertised. Only a handful of us completed it, and the others had an experience similar to mine. It is unsuitable as a part time MOOC that can be combined with full time work. The course is technically and intellectually challenging, putting it at the right level for a postgraduate course in computer science. However, the basic problem is that scope of the work is too broad. No matter what one’s skills as a computer scientist, there is too much project work to complete in a reasonable amount of time.

    On the plus side, Professor Grinspun explains clearly and in an interesting way the concepts and methods that he is teaching. It combines a solid theoretical approach with thoroughly practical computational methods and one can imagine being able to put the whole thing to use in a practical production setting.

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  2. Anonymous

    I took this class as part of the Artificial Intelligence MicroMaster’s program of edX. Why this class is part of an Artificial Intelligence curriculum is beyond me.

    In a standard classroom setting I can see where this class is reasonable. When conducted within edX’s online course system, however, the class becomes an enormous struggle. The code you must work with to complete your assignments is poorly documented and doesn’t follow good coding practices. Feedback from TAs or anyone “in the know” is dodgy at best. You get one chance to submit your assignment yet have ambiguous information regarding how well your assignment will score prior to submission. Also, a submission must be done in multiple parts that has to be done in a particular order to get full credit. All in all, I feel as if the class was simply dumped into the edX online system with little regard to how well it translates from a classroom setting.

    In my experience you’ll need at least 20 hours a week if you’re proficient with C++ programming, differential equations, and introductory college level physics. That number could double if you’re rusty in any of these areas. Be wary if you take this class as part of the AI MicroMasters program as it could easily block you from getting the certificate after completing all the other coursework from the program. Take this course first, audit it, and if you can complete this course the other courses should be less time intensive and more related to artificial intelligence.

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  3. Anonymous

    This course is awesome I always wanted to learn things like this and now i got the chance to do it thanks to Columbia University via edX.

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  4. Jay Chapaneri

    It is really very wonderful work in this situation that work is done to gives these are courses as it is so helpful to exploring the inner talent and work effectively

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