*CMSC/AMSC/MAPL 460
Computational Methods*

**Class: ** T, Th......2:00pm-3:15 pm (CSI 3120)

**Instructor:** Ramani Duraiswami
E-mail: ramani AT umiacs.umd.edu;

*Office Hours:*** ** Wednesdays 1:30 p.m. - 3:00,
in AVW 3361. (you must confirm I am there before coming by emailing me)

**TA:** Ross Adelman;
E-mail: rna AT umd.edu

*Office Hours: *1:00 PM to 2:30 PM
on Fridays, in AVW 3368

**Textbook (Required)**: Numerical Computing with MATLAB, by
Cleve Moler, ISBN 0-89871-560-1

Individual Chapters may be downloaded from the author's web site at http://www.mathworks.com/moler/chapters.html

The book may be purchased from the bookstore, or from the web.

Textbook (other): A useful reference is Ascher & Greif

**Software (required)**: MATLAB.

**You will need reliable access to MATLAB and a printer for
doing homework in this course. **

PIAZZA for peer-to-peer discussions/assistance.

__LAPTOPS DISCOURAGED IN CLASS__

**Printing:** Most homework will call for printing
material (graphs, programs and the like off Matlab) and submitting it.

Emailed
homework is** NOT acceptable.**

**Prerequisites:** Programming, advanced calculus, linear
algebra.

**Description in the catalog:** Basic computational
methods for interpolation, least squares, approximation, numerical quadrature,
numerical solution of polynomial and transcendental equations, systems of
linear equations and initial value problems for ordinary differential
equations. Emphasis on methods and their computational properties rather than
their analytical aspects.

**Homework will be given out periodically, and will be due
on the first class in the following week from the date handed out. No late
homework, without prior arrangement. Homework will be posted on this web page. **

**Collaboration Policy:** You may study together
and discuss problems and methods of solution with each other to improve your
understanding. You are welcome to discuss assignments in a general way among
yourselves, but you may not use other students' written work or programs. Use
of external references for your work should be cited. Clear similarities
between your work and others will result in a grade reduction for all parties.
Flagrant violations will be referred to appropriate university authorities.

**You are responsible for
checking this page.**

**Policy:** Honor
code http://www.studenthonorcouncil.umd.edu/code.html

**Grading:** Homework 30%, Mid-Term 25%, Final 35%, Quizzes 10%

**Previous versions of this course**: (for reference) Fall-2005 Spring-2007
Fall 2008 Spring 2010 Spring 2013