Introduction to numerical simulation
Master
In Maynard (USA)
Description
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Type
Master
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Location
Maynard (USA)
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Start date
Different dates available
6.336J is an introduction to computational techniques for the simulation of a large variety of engineering and physical systems. Applications are drawn from aerospace, mechanical, electrical, chemical and biological engineering, and materials science. Topics include: mathematical formulations; network problems; sparse direct and iterative matrix solution techniques; Newton methods for nonlinear problems; discretization methods for ordinary, time-periodic and partial differential equations, fast methods for partial differential and integral equations, techniques for dynamical system model reduction and approaches for molecular dynamics.
Facilities
Location
Start date
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Subjects
- Computational
- Network Training
- Engineering
- Systems
- Materials
- Simulation
- Electrical
- Network
Course programme
Lectures: 2 sessions / week, 1.5 hours / session
This course is offered as part of the Singapore-MIT Alliance (SMA), and will be delivered at MIT (by MIT faculty) for MIT students and simultaneously broadcast to the National University of Singapore (NUS) for SMA students.
3-0-9, Graduate H-level Credit
Introduction to Numerical Simulation is an introduction to computational techniques for the simulation of a large variety of engineering and engineered systems. Applications are drawn from aerospace, mechanical, electrical, and chemical engineering, materials science, and operations research. Topics include: mathematical formulations; network problems; sparse direct and iterative matrix solution techniques; Newton methods for nonlinear problems; discretization methods for ordinary and partial differential equations; methods for the solution of integral equations; model-order reduction; and Monte Carlo techniques.
18.03 or 18.06 or equivalent; and familiarity with MATLAB®.
Prof. Jacob White
Prof. Luca Daniel
Prof. Nicolas Hadjiconstantinou
Prof. Jaime Peraire
Prof. Anthony T. Patera
This course has eight problem sets.
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Introduction to numerical simulation