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Student Information
Description:
Theory and application of numerical approximation techniques. Topics
included are numerical error, root-finding, interpolation and polynomial
approximation, numerical differentiation and integration, and differential
equations.
Prerequisites: Linear Algebra (MA 110 or 160), Calculus 1 (MA 130), and Computer Science 1 (CS 110)
Class Times: TuTh 10:30am - 11:50am
Location: P-107
Brumbaugh Science Center
Instructor: Dr. Gerald Kruse
Phone: 641-3595
Office: C-205A
Brumbaugh Science Center
E-mail: kruse@juniata.edu
Office Hours: For the most up-to-date, see http://faculty.juniata.edu/kruse/office.htm
Textbook: Eighth Edition, Numerical Analysis, Burden and Faires
Grading: Exam 1
20 %
Exam 2
20 %
Final Exam
25 %
Homework and Projects 30
%
Class Attendance and Participation
5 %
Homework:
Content:
Computer Arithmetic
Algorithms and Convergence, Algorithm Efficiency
Bisection Method
Fixed Point Iteration
Polynomial Interpolation
Cubic Spline Interpolation
Parametric Curves
Numerical Differentiation
Numerical Integration
Quadrature
Numerical Solution of Differential Equations
Linear Systems of Equations www.netlib.org
Gauss-Jacobi and Gauss-Seidel
Approximation Theory and Orthogonal Polynomials
You might find the following link useful when compiling a Visual C++ program: Running Visual C++
Standard Course Policies: For the most up-to-date, see http://faculty.juniata.edu/kruse/policies.htm