- Time & Place
- MWF 12:00-12:50pm in MTH 0306
- Instructor
- Dr. T. von Petersdorff, office MTH 4409, e-mail
tvp@math.umd.edu, office hours Tue 10-12 (or by appointment)
- Grader
- Adrienne Norwood
- Textbook
- E. Süli: ``An Introduction to Numerical Analysis'',
Cambridge University Press, 2003. I will not follow the textbook very
closely, and I recommend that you take notes (in particular for least
squares problems which are not in the textbook).
- Syllabus
- Corresponding sections in the textbook are given in
parentheses. Some additional material will be available on the course
web page.
- Computer Arithmetic and Errors
- Linear Systems of Equations (2.1-2.8)
- Interpolation (6.1-6.3, 11.1-11.5)
- Linear Least Squares Problems (2.9)
- Nonlinear Systems of Equations (1.4-1.7, 4.1-4.3)
- Numerical Integration (7.1-7.5, 10.2)
- Ordinary Differential Equations (12.1-12.5, 12.10)
- Grading Policy
- The grade will be obtained from a weighted average
of exams, homeworks, and final exam (see below). With a total percentage
you are guaranteed an A, B, C, D, respectively.
These cutoffs may be lowered slightly.
- 2 Exams (Total 30%)
- Make-up exams will only be given for
legitimate and documented absences according to the
University Assessment Policy (www.testudo.umd.edu/soc/atedasse.html).
You must notify me of any such absence as soon as possible.
- Homeworks (Total 40%)
- There will be about 6 assignments, containing
both theoretical problems and computer problems with Matlab. If
an assignment is late, there will be a penalty of 15% for
each day after the due date. You can hand in assignments
either in class, or you can slip them under the door
of my office (MTH 4409) until 9pm. You must write the current
time and date on your assignment when you slip it under the door.
The homeworks must be done individually by each student, sharing of
material (in particular code) is considered academic dishonesty.
- Final Exam (30%)
- The cumulative final exam will be on Tue,
May 17, 8:00-10:00am in MTH0306.
- Matlab
- This course will use Matlab (version 7). Matlab is available
on most campus computers. You can also buy the student version of
Matlab at the Stamp Union for about $100 and use it on your own computer.
- Course Web Page
- www.math.umd.edu/tvp/460
gives additional information about the course, e.g., hints for using
Matlab and for the homework problems. Please check this web page regularly.
T. von Petersdorff
Last modified: Thu Jan 27 16:45:56 EST 2011