198:510 NUMERICAL ANALYSIS

INSTRUCTOR: Dinesh K. Pai, CoRE 309,
Computer Science Department, Rutgers University
Spring 2006, 3 credits
TA: Danny Kaufman (lastname at cs etc)
Lecture: Tuesday 6:40-9:30 PM in CoRE A (301)
Office Hours: Pai Tuesday 2-3pm, Kaufman Thursday 5-6pm. Email if you plan to come to a specific office hour.

NEW:

Guidelines for studying for the final exam. Good luck!

Note: you only need to read up to Section 8 of the Shewchuk paper for CG. Read to understand the important concepts, not agonizing details.

Links:
Assignments
Resources

Course Outline

This course provides a graduate level introduction to scientific computing. The course will be fairly "hands on"; students will be expected to do their assignments and experiment with almost everything they learn in class using Matlab. Topics covered include (roughly the first nine chapters of the text):

Textbook:

The textbook for the course is "Scientific Computing: An Introductory Survey," Second Edition, by Michael T. Heath.

In addition, I recommend you obtain a copy of Numerical Computing with MATLAB by Cleve Moler. The book is currently available online on the author's website.

As a general reference for the relevant mathematics, I recommend (but don't require) Strang's invaluable book Introduction to Applied Mathematics.

Evaluation:

Half the grade will be based on one final exam and one midterm exam. The rest is based on about 6 assignments, all of which will involve some programming in Matlab.

Resources

The Course Repository contains lecture slides, assignment material, etc. Password protected. Remember that my lecture slides are sparse and serve mainly as a reminder of topics covered in the lecture. You are expected to take your own notes on what I wrote on the board.

Danny Kaufman has put together a web page with helpful pointers for doing assignments, and assignment solutions.

Last year's TA web page (by Yi Jin) is here.

Last semester's course page (when it was taught by Prof. Richter) is here.

Numerical Recipes books are available free, online.

Matlab software from Moler's book is available here.

Example applets from Prof. Michael Heath are available here.

Exams

Midterm exam is going to be on March 28th, in class.

Assignments

Lateness Policy: If the assignment is h hours late, then your raw score will be multiplied by cos(asin(h/48)) for the first 48 hours, and zero after that.
Dinesh K. Pai
Last modified: Mon Jan 17 21:18:22 Eastern Standard Time 2005