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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 />

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

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