MATH 471 - Introduction to Numerical Methods
Section: 201
Term: SU 2010
Subject: Mathematics (MATH)
Department: LSA Mathematics
Requirements & Distribution:
Credit Exclusions:
No credit granted to those who have completed or are enrolled in MATH 371 or 472.
Advisory Prerequisites:
MATH 216, 256, 286, or 316; and 214, 217, 417, or 419; and a working knowledge of one high-level computer language. No credit granted to those who have completed or are enrolled in MATH 371 or 472.
Other Course Info:
F, W, Su.
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
May not be repeated for credit.
Primary Instructor:

This is a survey of the basic numerical methods which are used to solve scientific problems. The emphasis is evenly divided between the analysis of the methods and their practical applications. Some convergence theorems and error bounds are proven. The course also provides an introduction to MATLAB, an interactive program for numerical linear algebra, as well as practice in computer programming. One goal of the course is to show how calculus and linear algebra are used in numerical analysis. Topics may include computer arithmetic, Newton's method for non-linear equations, polynomial interpolation, numerical integration, systems of linear equations, initial value problems for ordinary differential equations, quadrature, partial pivoting, spline approximations, partial differential equations, Monte Carlo methods, 2-point boundary value problems, and the Dirichlet problem for the Laplace equation. MATH 371 is a less sophisticated version intended principally for sophomore and junior engineering students; the sequence MATH 571-572 is mainly taken by graduate students, but should be considered by strong undergraduates. MATH 471 is good preparation for MATH 571 and 572, although it is not prerequisite to these courses.

MATH 471 - Introduction to Numerical Methods
Schedule Listing
201 (LEC)
TuWF 8:00AM - 10:00AM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.

The math department is not responsible for purchases made if the textbook for a class changes.
ISBN: 9780130130549
A friendly introduction to numerical analysis, Author: Brian Bradie., Publisher: Prentice Hall 2001
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