Time Schedule:
William R. Dickerson
AMATH 352
Seattle Campus
Analysis and application of numerical methods and algorithms to problems in the applied sciences and engineering. Applied linear algebra, including eigenvalue problems. Emphasis on use of conceptual methods in engineering, mathematics, and science. Extensive use of MATLAB package for programming and solution techniques. Prerequisite: either MATH 126 or Q SCI 293.
Class description
The goal of this course is to introduce approximate numerical methods for solving mathematical problems that might be too tedious to solve by hand. We will try to understand how and why these methods work, and also how and why they might fail. We will study several basic numerical algorithms, how to implement them, and how to analyze their behavior mathematically.
To help explore various numerical methods, we will be using the software package MATLAB, and so MATLAB will play a significant role in this course. MATLAB has many built-in functions that you will learn for solving particular problems. It is a powerful tool, but this might take you some time to appreciate.
Student learning goals
General method of instruction
Lectures
Recommended preparation
MATH 126/136 (required), CSE 142 (recommended) or experience with modern programming language.
Class assignments and grading
Course is project-oriented, with emphasis on homework and MATLAB assignments.
(Winter 2007 - other instructors/classes may differ) 6 or 7 Homeworks: 50% 1 Midterm + 1 Final/Project 50%
