**MA377
Numerical Methods**

M-W 4:00-5:15

SC356

Professor Katie Fowler

Office: 361a

Office Hours:

M-W 10:00-12:00, Tue 2:15-4:15

Phone: (315) 268-2376

kfowler@clarkson.edu

Text: Introduction to Scientific Computing (Second Edition) by Peter Turner

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Assignment 1 Due Wednesday September 13

Help with Matlab!
(You need acrobat reader)

MATLAB Primer

More info:

MATLAB Tutorial

Here’s the
PPT presentation from the first day: Why we need
numerical methods

__Course Description and
Objectives:__

This class is an introduction to numerical
analysis with scientific computing. Topics include: floating point arithmetic
and sources of error, direct solution of linear systems, nonlinear equations,
interpolation, numerical integration, and numerical solution of initial
values problems in ordinary differential equations. The objectives are to (1)
motivate the need for efficient numerical methods, (2) study these methods
through implementation and analysis, and (3) obtain a better understanding and
appreciation for scientific computing.

__Approximate Schedule:____
__Floating Point Representation and
Errors ~ 1 week

Iterative Solution of Nonlinear Equations ~ 2.5 weeks

Linear Equations ~ 2.5 weeks

Interpolation ~ 2.5 weeks

Numerical Calculus ~ 2.5 weeks

Differential Equations ~ 2.5 weeks

Your grade will be computed as follows:

90% 5 projects

10 % Small homework/class assignments

* You are allowed to (and encouraged to) brainstorm together on projects, but each student must hand in his or her own project.

* Projects must be typed (I use LaTeX--word is OK) and any MATLAB code included at the end of the document. MATLAB code should include comments and be well organized. Proper grammar and English usage is expected.

* Late projects lose 2.5 points for each day late.

* Letter grades will be determined on the following scale: A(90--100), B+(85-89), B(80--84), C+(75--79), C(70--74), D+(65--69), D(60--64), F(0--59).