2.091J Software and Computation for Simulation
Modern software development techniques and algorithms for engineering computation. Hands-on investigation of computational and software techniques for simulating engineering systems, such as sensor networks, traffic networks, and discrete simulation of materials using atomistic and particle methods. Covers data structures and algorithms for modeling, analysis, and visualization in the setting of multi-core and distributed computing. Treatment of basic topics, such as queuing, sorting and search algorithms, and more advanced numerical techniques based on state machines and distributed agents. Foundation for in-depth exploration of image processing, optimization, finite element and particle methods, computational materials, discrete element methods, and network methods. Knowledge of an object-oriented language required.
This class has 1.00 as a prerequisite.
2.091J will be offered this semester (Fall 2017). It is instructed by J. R. Williams.
This class counts for a total of 12 credits. This is a graduate-level class.
You can find more information at the 2.091 Class Site site.
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