Instructor:
Andrei Draganescu
Office: MP420
Phone: 410-455-3237
Email: draga@umbc.edu
Website: http:/userpages.umbc.edu/~draga/courses/2016/Fall/math620
Office hours:
M W 3 - 4 pm, or by appointment.
Prerequisites:
Math 221, Math 301, or instructor approval.
Texts:
Course objectives:
This course serves as an introduction to the mathematical aspects of numerical analysis. The focus
will be on the mechanisms lying at the basis of method design and error analysis.
Topics include solution methods for nonlinear equations, function interpolation and approximation,
numerical differentiation and integration, and numerical solution of ordinary differential equations.
We plan to cover most of the material in the Sections 2.1, 2.2, 2.3, 2.5, 7.3, 2.10, 2.11, 3.1-3.7,
4.1-4.6, 5.1, 5.2, 5.3, 5.7, 6.1-6.10 out of Atkinson (the list is tentative).
Practical illustration of the methods will be done using Matlab.
Schedule:
A tentative schedule will be posted here,
and will be continuously updated.
Assignments:
Homework will be assigned once a week and will generally be
due a week later at the beginning of class.
Each homework assignment contains required and
recommended problems. Recommended exercises will not be graded, but can serve as basis for discussion.
I encourage you to discuss homework problems with colleagues, but the submitted write-up should
be the result of individual work only.
Tests:
There will one midterm exam and a final exam (see detailed schedule for
exam dates).
Grading policy:
Homework - 30%,
Midterm - 30 %,
Final - 40%
| Score above | 90% | 80% | 65% | 50 % | otherwise |
| Letter grade | A/A- | B+/B/B- | C+/C/C- | D+/D/D- | F |