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Scientific Computing
SCI COMP
CLASS CODE: MATH 412 CREDITS:  3
DIVISION: PHYSICAL SCIENCE & ENGINEERING
DEPARTMENT: MATHEMATICS
GENERAL EDUCATION: This course does not fulfill a General Education requirement.

DESCRIPTION: Methods of solving complex problems using numerical analysis and computer simulation. A variety of computing tools will be employed to study significant problems of current interest. Topics may include graph theory, cryptography, random number generation, queuing theory, discrete optimization, parameter fitting, finite element analysis, numerical PDE methods, etc.
TAUGHT: Fall even years
CONTENT AND TOPICS: Random number generation, simulation design, parameter fitting, graph theory, queuing theory, cryptograpy, discrete optimization, finite element analysis, numerical PDE methods.
GOALS AND OBJECTIVES: 1. Explore topics in numerical mathematics including solutions of differential equations and numerical linear algebra.
2. Gain experience using various mathematical tools to solve problems.
3. Interpret results of solutions obtained for various problems.
4. Use effective communication to describe results from various experiments.
REQUIREMENTS: There will be several projects of varying degrees of complexity drawn from a variety of computationally intensive subject areas. Students will work individually and collaboratively on projects. They will write up the results of their work in lab report or research paper formats and give oral presentations of their work to the class and in department seminars.
PREREQUISITES: Math 411 and either Math 214 or Math 316
OTHER:
EFFECTIVE DATE: August 2003