2006-2007 Undergraduate Catalog - Kettering University
2006-2007 Undergraduate Catalog - Kettering University
2006-2007 Undergraduate Catalog - Kettering University
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Copyright & Disclaimer Information: Copyright © 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, <strong>2006</strong>, <strong>2007</strong>. CollegeSource®, Inc. and Career Guidance Foundation. CollegeSource® digital catalogs are derivative works owned and copyrighted by CollegeSource®, Inc. and Career Guidance Foundation. <strong>Catalog</strong> content is owned and copyrighted by the appropriate school. While CollegeSource®, Inc. and Career Guidance Foundation provides information as a service to the public, copyright is retained on all digital catalogs.<br />
MATH-227 Statistics for Management II 4 0 0 4<br />
Prerequisite: MATH-226<br />
This course is a continuation of MATH-226. Estimation and tests of<br />
hypotheses are extended to include parameters for more than one population.<br />
Non-parametric methods and analysis of variance are introduced. Regression<br />
and correlation analysis are covered extensively. The statistical computing<br />
package of MINITAB is utilized throughout the course. Terms Offered: Winter,<br />
Spring<br />
MATH-305 Numerical Methods and Matrices 4 0 0 4<br />
Prerequisite: MATH-204<br />
An introduction to numerical methods including the study of iterative solutions<br />
of equations, interpolation, curve fitting, numerical differentiation and<br />
integration, and the solution of ordinary differential equations. An introduction<br />
to matrices and determinants; application to the solution of linear systems.<br />
Terms Offered: All<br />
MATH-307 Matrix Algebra 4 0 0 4<br />
Prerequisite: MATH-101<br />
A study of matrix concepts including such topics as basic algebraic operations,<br />
determinants, inversion, vector spaces, basis and dimension, solution of<br />
systems of linear equations, eigenvalues, and eigenvectors. Terms Offered:<br />
All<br />
MATH-313 Boundary Value Problems 4 0 0 4<br />
Prerequisite: MATH-204<br />
An introduction to linear partial differential equations (PDE’s) and basic<br />
techniques of applied mathematics used to solve initial, boundary value<br />
problems associated with these equations. Topics include: derivation of some<br />
of the fundamental PDE’s’ and boundary conditions that arise in science and<br />
engineering; Fourier Series; Sturm-Liouville Systems including eigenvalues,<br />
eigenfunctions and eigenfunction expansions; the separation of variables<br />
techniques; Fourier Transforms. Applications to problems of science and<br />
engineering will be given throughout the course. Terms Offered: Summer,<br />
Fall<br />
MATH-317 Advanced Matrix Theory 4 0 0 4<br />
Prerequisite: MATH-307<br />
A study of theory and applications of matrix algebra including determinants,<br />
rank, linear transformations, characteristic values, functions of matrices,<br />
orthogonality, similarity, and other advanced topics. Terms Offered: As Needed<br />
MATH-321 Real Analysis I 4 0 0 4<br />
Prerequisite: MATH-203<br />
A more advanced study of functions in one real variable including limits,<br />
uniform continuity, differentiation, integration, and sequences and series of<br />
functions; topology of R. Terms Offered: As Needed<br />
MATH-328 Methods of Applied Mathematics 4 0 0 4<br />
Prerequisite: MATH-204<br />
Topics from advanced calculus, dimensional analysis and scaling, perturbation<br />
and asymptotic methods, calculus of variations and integral equations.<br />
Applications of these tools to problems in engineering will be included. Terms<br />
Offered: Winter, Spring<br />
MATH-408 Probability and Statistics 4 0 0 4<br />
Prerequisite: MATH-203<br />
A basic understanding of the concepts of probability and statistics is provided.<br />
Elementary combinatorics, fundamentals of probability, families of discrete<br />
and continuous probability distributions, and the Central Limit Theorem are<br />
considered. The basic descriptive measures as well as basic concepts of<br />
estimation and tests of hypotheses are considered. The uses of probability<br />
and statistics in engineering areas are illustrated. A brief introduction to<br />
MINITAB (a statistical package) is given. Terms Offered: All<br />
MATH-412 Complex Variables 4 0 0 4<br />
Prerequisite: MATH-203<br />
An introduction to the theory of complex variables. Includes basic algebra<br />
of complex numbers, analytic functions and the Cauchy-Riemann equations,<br />
Course Descriptions / 149<br />
elementary transformations, complex integration, the Cauchy integral<br />
formulas, Taylor and Laurent series, and the theory of residues. Terms Offered:<br />
As Needed<br />
MATH-416 Vector Analysis 4 0 0 4<br />
Prerequisite: MATH-203<br />
An introduction to vector algebra and calculus including vector products,<br />
vector functions, and their differentiation and integration, gradients, line and<br />
surface integrals, conservative fields and potentials functions, Green’s<br />
theorem, parametric equations, curvature, and curvilinear coordinates. Terms<br />
Offered: Winter, Spring<br />
MATH-418 Intermediate Differential Equations 4 0 0 4<br />
Prerequisites: MATH-204, MATH-305<br />
A study of systems of linear and nonlinear ordinary differential equations<br />
(ODE’s). Systems of linear ODE’s, matrix methods, variation of parameters,<br />
and perturbation methods and boundary layers, phase portraits and stability<br />
of nonlinear ODE’s. Numerical methods for solving systems of ODE’s will<br />
be presented and used to solve physical problems of applied mathematics<br />
and engineering. Terms Offered: Summer, Fall<br />
MATH-420 Mathematical Modeling 4 0 0 4<br />
Prerequisites: MATH-204, MATH-205, MATH-305<br />
A study of the process of translating real-world problems into mathematical<br />
models. Various methods of formulation and solution of models will be<br />
illustrated by practical examples. Terms Offered: Summer, Fall<br />
MATH-421 Real Analysis II 4 0 0 4<br />
Prerequisites: MATH-317, MATH-321<br />
An introduction to the study of real functions including metric spaces, normed<br />
linear spaces, Hilbert Spaces, and linear operators. Terms Offered: Winter,<br />
Spring<br />
MATH-423 Partial Differential Equations 4 0 0 4<br />
Prerequisites: MATH-305, MATH-313<br />
This course is a continuation of MATH-313. Topics include Bessel’s equation<br />
and Legendre’s equation, boundary value problems in curvilinear coordinate<br />
systems, Green’s functions for ordinary and partial differential equations.<br />
Applications to problems of science and engineering will be given throughout<br />
the course. Terms Offered: Winter, Spring<br />
MATH-426 Mathematical Statistics I 4 0 0 4<br />
Prerequisite: MATH-205, or MATH-227, or MATH-408<br />
A study of random variables and their distribution functions including<br />
expectations, transformations, moment generating functions, stochastic<br />
independence, and sampling distribution. Also, a study of order statistics<br />
and limiting distributions of sample mean. Terms Offered: Summer, Fall<br />
MATH-427 Mathematical Statistics II 4 0 0 4<br />
Prerequisite: MATH-426<br />
A further study of statistics including point and interval estimation, sufficient<br />
statistics, Bayes estimates, UMP tests, likelihood ratio tests, goodness of fit<br />
tests, and an introduction to non-parametric methods. Terms Offered: Winter,<br />
Spring<br />
MATH-428 Sampling Theory 4 0 0 4<br />
Prerequisite: MATH: 426<br />
A study of sampling theory including probability sampling, simple random<br />
sampling, sample size estimates, stratified sampling, and cluster sampling.<br />
Terms Offered: Winter, Spring<br />
MATH-438 Data Analysis for Engineers and Scientists 4 0 0 4<br />
Prerequisite: IME-332, or MATH-205, or MATH-227, or MATH-408<br />
This course will cover topics in sampling techniques, data analysis and<br />
regression, design of experiments, and statistical quality and process control.<br />
In this course, the student will be given hands-on experience by combining<br />
lectures with laboratory classes involving the use of computers and appropriate<br />
statistical packages. The student taking this course is assumed to have taken<br />
an introductory course in probability and statistics. Terms Offered: As Needed