Numerical Analysis (Math 443/543)

Instructor: Dr. Scott Sarra
Class Info: MW 2:00 - 3:15, SH 511
Office Hours: MW 12:15 to 2:00, and 4:45 to 5:30, SH 325
course web:

TextbooksNumerical Analysis by T. Sauer. ISBN 0321268989 and MATLAB: An Introduction with Applications 2nd Edition by Amos Gilat, ISBN 0471694207. Recommended: Student version of Matlab.

Course Learning Objectives:

After completing the course the student will 1) understand the basic topics of numerical analysis: computer representation of numbers, floating point arithmetic, root finding, interpolation, and numerical differentiation and integration, 2) be prepared to embark upon further more advanced study in numerical analysis, 3) understand how numerical mathematics fits into science as a whole, and 4) will be exposed to and complete a project in a current research area in numerical analysis.

Prerequisites: MTH 331 and a programming language or permission.

Grading: Grades will be an average of  homework, projects and in class exams.   Final grades will be assigned according to the average as:

90<=x <=100 -> A; 80<=x <90 -> B; 70<=x <80 -> C; 60<=x <70 -> D; x <60 -> F

Attendance Policy:

Attendance is at your discretion. However, you are responsible for what is covered in class, which at times will be quite different from the text.  Generally, in 400/500 level classes, attendance at every class is expected.


Homework problems will be of two types: 1) Suggested problems for the purpose of assisting you in mastering the material and for preparing for exams.  These will not be collected and graded.  2)  Problems that will be collected and graded.   Both types will be listed in naProblemsFall2007.txt which will be updated as we advance through the semester.

Academic integrity:

Homework or projects may be group or individual.  On individual work, you are expected and encouraged to discuss problems with others. However, the work you turn in must be completely your own. Sharing or copying will be penalized.  For group work, one solution should be turned in representing the combined efforts of the group.

Due dates/Makeup exams

If you are unable to take an exam due to an excused absence, you must contact me prior to the exam time and furnish the proper written verification of the absence as defined by the MU undergraduate catalog in order to take a make-up exam.  Excused absences, as defined by the MU undergraduate catalog, fall into three categories: (1) university sponsored activities; (2) absences as a result of illness or death in the family; (3) absences resulting from major religious holidays.  Consult the catalog for details. Extensions for homework and projects must be made in advance of the due date.

Documented learning disabilities:

Accomodations will be made to assist students with documented learning disabilities.  Students should make arrangements with the Help center to provide the instructor with a notice of accomodation.


For more information on the course see the course web page.  Other courses in the Numerical Mathematics sequence are Numerical Linear Algebra and Numerical Differential Equations.