Course Number: 20114132
Scientific Computing (or Computational Science) is considered by many
as the Third Pillar of Science along with Theory and Experiment.
Today's graduates must have significant skills in computation in their
research and working places.
The course will be focused on Numerical Algorithms, Case Studies and
Computational tools such as Parallel Computing.
1. Numerical methods
a. Linear Algebra
b. Numerical Integration
c. Monte Carlo methods
2. Case Studies
a. Heat Equation
b. Random Walk
c. Metropolis Algorithm
d. Wave Equation
a. Visualization and other scientific,
open source, tools
b. Parallel Computing with MPI and OpenMP
c. Demos: Grid and Cloud Computing for
Feinberg Graduate School Students
The course duration is one semester. 2
hours per week
Time: Sunday, 5pm-7pm.
Class location: Ziskind 1
Dr. Guy Tel-Zur, Email: tel-zur AT
Reception hours: Immediately after class
Last update: Feb.-8-2011
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