Professor Katie Fowler
M-W 10:00-12:00, Tue 2:15-4:15
Phone: (315) 268-2376
Text: Introduction to Scientific Computing (Second Edition) by Peter Turner
Ø Assignment 1 Due Wednesday September 13
Help with Matlab!
(You need acrobat reader)
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.
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).
"The Clarkson student will not present, as his or her own, the work of another, or any work that has not been honestly performed, will not take any examination by improper means, and will not aid and abet another in any dishonesty." (Clarkson Regulations) You are welcome, and encouraged, to work with other students on the homework. However, you must hand in your own work, and it must represent your own understanding of the assignment.