MATH 5830 Numerical Analysis: Approximation and Quadrature

Instructor: Professor H. Stech Telephone: 726 - 8272

Office: 156 Campus Center e_mail: hstech@d.umn.edu

Office Hours: 1:00-1:50 MWF and by appointment

Text: An Intro. to Numerical Analysis, by Kendall Atkinson, John Wiley & Sons (2nd Ed.)

Prerequisites: Calculus through differential equations and linear algebra (vectors and matrices); experience with FORTRAN, C, Java, or Pascal programming. Familiarity with some symbolic-manipulation/graphics package, such as Mathematica, Maple or MathCad.

Computer Access: The class does not require purchase of the ITSS Full Lab Access Fee since many of the students enrolled in this class tradionally have access to Mathematica. However, if you do not have such access, you are encouraged to pay the Full Lab Access Fee.

Objectives: Topics to be covered will include: machine representation of numbers and sources of error, rootfinding, interpolation and approximation and numerical integration.

Grading: There will be approximately 10 problem sets/coding assignments and a final exam. The final grade will be determined by a weighted average of the problem set

average, and the final exam grade (75% in-class + 25% final exam). The exam and course will be graded according to a scale no higher than

A = 90 % or above

B = 80 - 90 %

C = 70 - 80 %

D = 65 - 70 %

F = below 65 %

You are expected to neither give nor receive aid on the homework, computational assignments and exams. While it is permissible to ask of other students general questions in the class about the homework and computer labs, what you turn in should reflect what YOU understand about the material. "Team" solutions are not acceptable. Points may be deducted for late assignments.

Final Examination: 10:00-11:55 AM Wednesday, December 20.

University policy will prevail in the rescheduling of the final exam.

This class is appropriate for both undergraduates and graduate students. However, in determining final grades undergraduate students will not be disadvanted by the presence of graduate students. Final grades for undergraduates and graduate students will be assigned independently of each other. If appropriate, the grading of graduate student work may reflect a higher expectation of rigor and completeness. A "curve" will not be used in assigning final grades.

Individuals who have and disability, either permanent or temporary, which might affect their ability to perform in this class are encouraged to inform the instructor at the start of the term. Adaptation of methods, materials, or testing may be made as required to provide equitable participation.