Scientific Computing
Semester 2011B
Course Number: 20114132
General Information:
Course Objectives
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.
Syllabus
1. Numerical methods
a. Linear Algebra
b. Numerical Integration
c. Monte Carlo methods
d. ODEs
e. PDEs
2. Case Studies
a. Heat Equation
b. Random Walk
c. Metropolis Algorithm
d. Wave Equation
3. Tools
a. Visualization and other scientific,
open source, tools
b. Parallel Computing with MPI and OpenMP
c. Demos: Grid and Cloud Computing for
Scientists
Audience
Feinberg Graduate School Students
Lectures
The course duration is one semester. 2
hours per week
Time: Sunday, 5pm-7pm.
Class location: Ziskind 1 
Lecturer
Dr. Guy Tel-Zur, Email: tel-zur AT
computer.org
Reception hours: Immediately after class
.
Last update: Feb.-8-2011
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