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22.00J Introduction to Modeling and Simulation, Spring 2002

Pool table.
Pool table. (Image by Getty Images.)

Highlights of this Course

Beyond providing a basic introduction to concepts, this course includes an overview of modeling and simulation tools, as well as case studies in modeling and simulation. The assignments section includes the famous "Let's Make a Deal," probability problem (sometimes used in job interviews) that has confused many a professional mathematician

Course Description

Basic concepts of computer modeling in science and engineering using discrete particle systems and continuum fields. Techniques and software for statistical sampling, simulation, data analysis and visualization. Use of statistical, quantum chemical, molecular dynamics, Monte Carlo, mesoscale and continuum methods to study fundamental physical phenomena encountered in the fields of computational physics, chemistry, mechanics, materials science, biology, and applied mathematics. Applications drawn from a range of disciplines to build a broad-based understanding of complex structures and interactions in problems where simulation is on equal-footing with theory and experiment. Term project allows development of individual interest. Student mentoring by a coordinated team of participating faculty from across the Institute.

Staff

Instructors:
Prof. Sidney Yip
Adam Powell
Martin Bazant
Jianshu Cao
W. Craig Carter
Nicolas Hadjiconstantinou
Nicola Marzari
Leonid Mirny
Rodolfo Rosales
Bernhardt Trout
Franz-Josef Ulm
Jacob White

Course Meeting Times

Lectures:
Three sessions / week
1 hour / session

Level

Undergraduate

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