2017-2018 Undergraduate Catalog 
    
    May 15, 2024  
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2017-2018 Undergraduate Catalog [ARCHIVED CATALOG]

Course Descriptions

 

Intelligence Studies
  

  • INTL 200 - Intelligence and National Security

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course focuses on the concept, framework and applications of U.S. Intelligence and its role in the creation and implementation of national security policies.


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  • INTL 210 - Introduction to Intelligence Analysis

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    Research, Methods and Writing: This specialized course concentrates on the analytical production of strategic intelligence and serves as an introduction to the craft of intelligence analysis.
    Prerequisite: INTL 200 


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  • INTL 220 - Intelligence Operations

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course covers human Intelligence (HUMINT), covert action and counterintelligence, as well as, the organizations, missions, and functions of international intelligence and security services.
    Prerequisite: INTL 200 


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  • INTL 300 - Law Enforcement Intelligence

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course examines the role of Intelligence in the production of public policy and Law Enforcement implementation.
    Prerequisite: INTL 200 


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  • INTL 310 - Corporate Intelligence

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course combines the study of traditional “corporate espionage” with the intelligence and counter-intelligence requirements inherent in protecting and managing intellectual property and national security information found in the industrial sector.
    Prerequisite: INTL 200 


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  • INTL 320 - Intelligence and Military Operations

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course introduces the principles of Intelligence support for military operations including definitions and problems of strategic, operational and tactical intelligence; various aspects of military operations; and significant past, present and future events, operations and implications involving intelligence and military operations.
    Prerequisite: INTL 200 


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  • INTL 330 - The History of Intelligence

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course explores the principles of the history of Intelligence. Topics include definitions and problems of the history of Intelligence; various aspects of the history of Intelligence; and significant past, present and future events, operations and implications involving the history of Intelligence.
    Prerequisite: INTL 200 


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  • INTL 400 - Advanced Intelligence Analysis

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    Research, Methods and Writing: This advanced course serves as follow-on to the introductory analysis course and provides for the application of knowledge and further skill development of the analytical tradecraft. Special topics include analytical research, methodologies and writing.
    Prerequisite: INTL 210 


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  • INTL 410 - Ethics and Intelligence

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course will examine the pertinent role of ethics in the business of Intelligence within the context of national security. Ethical theories, the role of ethics, protection of individual civil rights, ethical dilemmas posed by several current challenges and ways to make ethics a larger part of the national security dialogue will be addressed.
    Prerequisite: INTL 200 


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  • INTL 420 - Anthropological Issues in Intelligence

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course investigates the historical and contemporary cultural, religious, and social distinctions between the world’s peoples as these variables bear on the Intelligence function.
    Prerequisite: INTL 200 


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  • INTL 430 - Strategic Intelligence Issues

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    Exploring a number of vital and current issues relative to strategic Intelligence, this advanced course is intended to assess intelligence requirements and develop strategies for the successful use of intelligence in U.S. foreign and security policy in the first decades of the twenty-first century.
    Prerequisite: INTL 200 


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  • INTL 440 - Emerging International Security Threats

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course surveys a suite of emerging international threats which pose serious security risks to international development, stability and progress. The purpose is to assess the future international security environment in order to help develop government policy, strategy and plans for dealing with emerging security threats like genocide; organized crime; narcotics trade; human trafficking; weapons proliferation; environmental, energy, health and financial perils; regional issues; and other related topics.
    Prerequisite: INTL 200 


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  • INTL 450 - International Terrorism

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course focuses on a wide range of relevant topics from the historical background and roots to the sociological, economic, and psychological aspects of International Terrorism and to the actual operational factors and policy implications.
    Prerequisite: INTL 200 


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  • INTL 460 - National Security Policy

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course will focus on U.S. national security and related-policy and the domestic and global factors affecting implementation.
    Prerequisite: INTL 200 


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  • INTL 462 - International Weapons Proliferation and Weapons of Mass Destruction

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course explores worldwide proliferation of weapons and military hardware with special attention given to weapons of mass destruction.
    Prerequisite: INTL 200 


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  • INTL 470 - Internship

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course is designed for students to serve an external internship. As an intern, the students will be supervised in an experience in the application of principles and techniques to various areas of public service.
    Prerequisite: INTL 400 


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  • INTL 480 - Senior Seminar

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course serves as a capstone class for students completing the Intelligence Studies program. It requires students to integrate and apply knowledge gained from the overall program curriculum. As part of the Senior Seminar, the students will research, write and present the findings and results of a topic that has significance to the profession of Intelligence Studies.
    Prerequisite: INTL 400 


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  • INTL 490 - Advanced Readings and Research

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course allows students to conduct intensive, independent research studies of selected topics. The student will research, write and present the findings and results of the research.
    Prerequisite: INTL 400 


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Mathematics
  

  • MATH 120 - Finite Mathematics

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    An introduction to mathematical sets, logic, probability, statistics, and the metric system.


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  • MATH 121 - Introduction to College Algebra

    Credit Hours: 3 or 4
    Lecture Hours: 3 or 3
    Lab Hours: 0 or 2

    This course provides a foundation in algebraic concepts and problem solving skills for students who are preparing to take college algebra or precalculus I. Topics include arithmetic of real numbers, simplifying expressions (polynomial, rational, radical, etc.), and solving equations and inequalities (linear, quadratic, radical, etc.). When taken for 4 credits, two lab hours are included.


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  • MATH 123 - College Algebra

    Credit Hours: 3 or 4
    Lecture Hours: 3 or 3
    Lab Hours: 0 or 2

    An algebra course containing the following topics: sets, the real number system, exponents, radicals, polynomials, equations, inequalities, relations and functions, graphing, conic sections, exponential and logarithmic functions, systems of equations, complex numbers, mathematical induction, and the binomial theorem. A graphing calculator is required. When taken for 4 credits, two hours of lab are included.
    Prerequisite: MATH 121  or High School Algebra I, II, and Plane Geometry or equivalent, and satisfactory profile examination score.


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  • MATH 124 - College Trigonometry

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A trigonometry course containing the following topics: trigonometric functions defined on angles, circular functions, graphs, inverse trigonometric functions, identities, trigonometric equations, law of cosines, law of sines, and complex numbers. A graphing calculator is required.
    Prerequisite: MATH 123  or High School Algebra I, II, and Plane Geometry or equivalent, and satisfactory profile examination score.


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  • MATH 126 - Quantitative Reasoning

    Credit Hours: 3or 4
    Lecture Hours: 3 or 3
    Lab Hours: 0 or 2

    This is a basic quantitative reasoning course with emphasis on concepts and applications of mathematical and statistical methods. This activity based quantitative reasoning course introduces students to basic mathematics, probability and risk, summarizing and analyzing data, regression and correlation, geometric modeling, and financial mathematics. Spreadsheets and course specific software will be used to deepen understanding of these concepts and increase student engagement with the course material. When taken for 4 credits,two lab hours are included.
    Prerequisite: MATH 121  or High School Algebra I, II, and Plane Geometry or equivalent, and satisfactory profile examination score.


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  • MATH 129 - Precalculus Mathematics I

    Credit Hours: 3 or 4
    Lecture Hours: 3 or 3
    Lab Hours: 0 or 2

    This course is the first of a two-semester sequence that provides a background for students who are preparing to take calculus. Topics include sets, the real number system, exponents, radicals, polynomials, equations, inequalities, functions, relations, graphing, conic sections, and rational, exponential, and logarithmic functions. A graphing calculator is required. When taken for four credits, two hours of lab are included.
    Prerequisite: High School Algebra I, II, and Plane Geometry or equivalent, and satisfactory profile examination score.


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  • MATH 130 - Precalculus Mathematics II

    Credit Hours: 3 or 4
    Lecture Hours: 3 or 3
    Lab Hours: 0 or 2

    This course is the second of a two-semester sequence that provides the background for students who are preparing to take calculus. Topics include graphing, systems of equations, matrices, complex numbers, mathematical induction, the binomial theorem, sequences and series, polar coordinates, parametric equations, trigonometric functions, inverse trigonometric functions, law of sines, law of cosines, and trigonometric identities. A graphing calculator is required. When taken for four credits, two hours of lab are included.
    Prerequisite: MATH 129 


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  • MATH 131 - Algebra and Trigonometry

    Credit Hours: 3 or 4
    Lecture Hours: 3 or 3
    Lab Hours: 0 or 2

    An in-depth study of the topics covered in MATH 129  and MATH 130 . A graphing calculator is required. When taken for four credits, two hours of lab are included.
    Prerequisite: High School Algebra I, II, and Plane Geometry Or equivalent, and satisfactory profile examination score.


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  • MATH 140 - Applied Calculus

    Credit Hours: 4
    Lecture Hours: 4
    Lab Hours: 0

    A course in calculus applicable to business and the social sciences incorporating a review of college algebra and studies of linear equations, functions and their limits, derivations, applications of derivatives, exponential and logarithmic functions, antiderivatives, definite integrals and applications, and numerical techniques and applications.
    Prerequisite: MATH 123  or MATH 129  


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  • MATH 142 - Calculus with Analytic Geometry I

    Credit Hours: 4
    Lecture Hours: 3
    Lab Hours: 2

    The first course of a three-semester sequence in calculus with analytic geometry, including studies of graphs, functions, limits, differentiation, applications of differentiation, integration, and applications of the definite integral.
    Prerequisite: (MATH 129  and MATH 130 ) or MATH 131 


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  • MATH 150 - Discrete Mathematics I

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    The first course of a two-semester sequence in discrete mathematics, providing the theoretical base and support for computer science and including operations on sets; Cartesian products and tuples; combinatorial objects; Venn diagrams; event spaces and basic probability; number systems; the statement calculus; rules of inference and validity of arguments; inductive proofs; the concept of an algorithm; equivalence relations; partial ordering relations; graphs and digraphs as relations, including trees and shortest paths in digraphs; basic definitions and notations of functions; and recurrences for the analysis of algorithms.
    Prerequisite: (MATH 129  and MATH 130 ) or MATH 131 


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  • MATH 241 - Calculus with Analytic Geometry II

    Credit Hours: 4
    Lecture Hours: 3
    Lab Hours: 2

    The second course of a three-semester sequence in calculus with analytic geometry, including studies of the notion of integral, the Fundamental Theorem of Calculus, techniques of integration, improper integrals, applications of integration, differential equations, infinite series and tests of convergence, power series, and Taylor series.
    Prerequisite: MATH 142 


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  • MATH 242 - Calculus with Analytic Geometry III

    Credit Hours: 4
    Lecture Hours: 3
    Lab Hours: 2

    The third course of a three-semester sequence in calculus with analytic geometry, including studies of vectors, vector-valued functions, functions of several variables, partial derivatives, gradients, directional derivatives, maxima and minima, multiple integrals and applications, line and surface integrals, Green’s Theorem, Stokes’ Theorem, and Divergence Theorem.
    Prerequisite: MATH 241 


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  • MATH 250 - Discrete Mathematics II

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A continuation of MATH 150 , including an introduction to graph theory, graph algorithms, representations of graphs, planar graphs, graph algorithms, minimal spanning trees, tree traversals, decision trees, game trees, network models, max flow min cut theorem, matching, Boolean algebra and combinatorial circuits and applications, automata, grammars and languages, the closest-pair problem, and convex hull.
    Prerequisite: MATH 150 


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  • MATH 251 - Linear Algebra

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course provides a study of topics including vectors, matrices, matrix operations, the system of linear equations, Gauss-Jordan elimination, determinants, vector spaces and subspaces, linear independence, bases, linear transformations, rank and kernel, eigenvalues and eigenvectors, diagonalization, inner products, Euclidean spaces, and the Gram-Schmidt process.
    Prerequisite: MATH 130  or MATH 131 


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  • MATH 260 - Foundations of Mathematics

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A course designed to help students transition to upper level courses in mathematics. Topics include set theory, logic, proof techniques, induction, equivalence relations, functions and cardinality, countable and uncountable sets, and sequences.
    Prerequisite: MATH 142  and MATH 150 


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  • MATH 262 - Modern Geometry

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course in modern geometry focuses on axiomatic methods and proofs. Topics from Euclidean geometry include lines, angles, triangles, quadrilaterals, congruent and similar triangles, circles, polygons, areas, and volumes. Some topics from non-Euclidean geometry are also included.
    Prerequisite: (MATH 129  and MATH 130 ) or MATH 131  


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  • MATH 312 - History of Mathematics

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A survey of mathematics incorporating biographical accounts of persons who have contributed significantly to the development of mathematics, descriptions of their achievements, and discussions of other major topics of interest in mathematics.
    Prerequisite: MATH 142 


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  • MATH 315 - Applied Cryptography

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course is an introduction to classical and modern cryptography. We apply elementary number theory to the problems of cryptography. Topics include classical cryptosystems, basic number theory, the data encryption standards, the RSA algorithm, discrete logarithms, Hash functions, digital signatures, digital cash, secret sharing schemes, and the zero knowledge techniques. A computer algebra system will be used.
    Prerequisite: MATH 150 


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  • MATH 320 - Difference Equations

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    An introductory course in difference equations and discrete dynamical systems including studies of difference calculus, first order difference equations, higher order linear difference equations, basic theory of linear systems of difference equations, linear periodic systems, stability theory, Liapunov’s second method, Z-transform, asymptotic behavior of solutions.
    Prerequisite: MATH 241  and MATH 251 


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  • MATH 325 - Discrete Optimization

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A course including such topics as maximization and minimization problems in graphs and networks, matching theory, (shortest paths, minimum spanning trees, maximum flows, minimum cost flows); transportation and trans-shipment problems, NP-completeness.
    Prerequisite: MATH 150 


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  • MATH 331 - Differential Equations I

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    The first course of a two-semester sequence in differential equations, emphasizing applications to science and engineering and including the following topics: first order differential equations, second order linear differential equations, higher order linear equations, the Laplace Transform, and series solutions of second order linear equations.
    Prerequisite: MATH 242 


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  • MATH 340 - Topics in Mathematics

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A study of major topics of current interest in mathematics not covered in existing courses.


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  • MATH 345 - Mathematics of Interest Rates

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    The course closely follows the financial mathematics syllabus of society of actuaries. The purpose of the course is to develop practical knowledge of the theory of interest in both finite and continuous times, know how these concepts are used in the various annuity functions, and be able to apply the concepts of present and accumulated value for various streams of cash flows as a basis for future use in reserving, valuation, pricing, duration, asset/liability management, investment income, capital budgeting, and contingencies.
    Prerequisite: MATH 140  and MATH 142 


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  • MATH 350 - Mathematics of Financial Markets

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course covers the usage and pricing of derivatives. Subjects include the basis features of futures and options, binomial option pricing, the Black-Scholes formula, interest rate based derivatives, volatility measurement, and dynamic trading strategies. It also covers arbitrage-based derivatives pricing approaches and quantitative analysis.
    Prerequisite: MATH 242  and STAT 301 


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  • MATH 361 - Introduction to Modern Algebra I

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    The first course of a two-semester sequence introducing fundamental concepts and proof techniques used in abstract algebra and including studies of groups, normal subgroups, quotient groups, homomorphisms, rings, ideals, quotient rings, integral domains, fields, and related topics.
    Prerequisite: MATH 251  and MATH 260 


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  • MATH 362 - Introduction to Modern Algebra II

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course is a continuation of MATH 361  and presents a deeper and more extended study of rings, ring homomorphisms and ideals, factor rings, properties of ideals, integral domains, unique factorization domains, polynomial rings, irreducibility tests, field extensions, algebraic extensions, an introduction to Galois Theory, and related topics.
    Prerequisite: MATH 361 


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  • MATH 372 - Linear Programming

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A study of methods and applications of optimizing a linear function subject to linear constraints, the theory of the simplex method and duality; parametric linear programs; sensitivity analysis; modeling and computer implementation.
    Prerequisite: MATH 251 


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  • MATH 380 - Nonlinear Programming

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course includes methods for unconstrained optimization such as golden section search method, gradient method, Newton’s method and conjugate direction method; and methods for constrained optimization, including Lagrange multipliers, Kuhn-Tucker Theory, and duality.
    Prerequisite: MATH 251 


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  • MATH 400 - Diag/Prescript Math

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A course examining diagnostic teaching in the context of a general approach to mathematics instruction, with emphasis on strengthening students’ knowledge of mathematics and instructional psychology.


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  • MATH 405 - Principals of Discrete Applied Mathematics

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course is a study of illustrative topics in discrete applied mathematics including sorting algorithms, information theory and data compression, coding theory, secret codes, generating functions, Fourier transforms, linear programming, game theory. There is an emphasis on topics that have direct application in the real world.
    Prerequisite: MATH 150  and STAT 202 


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  • MATH 410 - Introduction to Calculus of Variations and Optimal Control

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    Introduction to calculus of variations and optimal control for dynamical systems; the Pontryagin Maximum Principle, necessary conditions for optimality and computational techniques for solution of the necessary conditions.
    Prerequisite: MATH 331 


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  • MATH 412 - Advanced Calculus

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A comprehensive and rigorous study of the concepts of limit, continuity, topology on the real line, properties of continuous functions, Mean Value Theorem and Taylor’s Formula, and calculus of one variable.
    Prerequisite: MATH 242  and MATH 260 


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  • MATH 415 - Intro to Wavelets and Data Compression

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course presents the basic principles of wavelets and data compression. Wavelets have had quite a huge impact in the signal processing community, especially with regard to applications like compression (speech, audio, image and video, modeling and restoration). The course will cover topics including: inner products and norms of n-dimensional vectors, orthogonal matrices and block matrix arithmetic, Entropy and Cumulative Energy, peak signal to noise ratio, complex numbers and Euler’s formula, Fourier series, convolutions, lowpass/highpass filters, Haar Transformations, Daubechies filters, Gaussian white noise, and the VISUShrink denoising technique. A significant amount of the course is dedicated to programming.
    Prerequisite: MATH 241  and MATH 251 


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  • MATH 420 - Mathematical Modeling

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course is intended to help students establish mathematical skills needed for solving various practical problems. The focus of the course is to seek the connections between mathematics and practical systems, and illustrate the modeling procedure through examples from physics, biology, chemistry, engineering, economics and other areas. Students will learn how to apply various modeling techniques to create mathematical description of a practical system, and use analysis and computer simulations to make predictions about the system’s behavior.
    Prerequisite: MATH 251  and MATH 331 


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  • MATH 431 - Differential Equations II

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A continuation of MATH 331 , including the following topics: numerical methods; nonlinear differential equations and stability; Fourier Series and classical partial differential equations; boundary value problems and the Sturm-Liouville Theory; the system of linear differential equations; and the existence theory.
    Prerequisite: MATH 251  and MATH 331 


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  • MATH 432 - Read/Honors in Math

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    An introduction to methods of research and independent study in mathematics. For seniors and/or honor students.


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  • MATH 433 - Math Conc/Elem Sch Tch

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A course for pre-service and in-service teachers at the intermediate level, emphasizing sets and the set theory, the development of the real number system, measurements, the use of manipulative materials, elements of geometry, computer utilization, and problem solving.


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  • MATH 435 - Partial Differential Equations with Applications

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A course containing the following topics: first order partial differential equations; the wave equation; the diffusion equation; the Laplace equation; d’Alembert’s solution; Duhamel’s principle; the classification of partial differential equations; elliptic, parabolic, and hyperbolic partial differential equations; Stability theory; energy conservation; Sturm-Liouville problems; Fourier series; integral transforms; Laplace transforms; Greens’s functions; and variational methods. Applications in medicine, engineering, meteorology, and industry will be discussed. Mathematical software such as ACSL, Maple, and Mathematica will be used.
    Prerequisite: MATH 242  and MATH 331 


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  • MATH 440 - Applied Numerical Methods

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A course on numerical methods including topics such as: nonlinear equations, linear systems, interpolation and polynomial approximation, curve fitting numerical differentiation, numerical integration, numerical optimization, solution of differential equations, eigenvalues, and eigenvectors. Mathematical software such as Maple, Matlab, and Mathematica will be used.
    Prerequisite: MATH 431 


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  • MATH 450 - Selected Topics in Mathematics

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    Advanced study of major topics in mathematics from fields such as topology, advanced calculus, complex analysis, or modern algebra. Course may be repeated for credit with approval of department.


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  • MATH 461 - Theory of Real Variables

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A comprehensive and rigorous study of real variable functions including differentiability, the Riemann Integral, sequences of functions, infinite series, the generalized Riemann integral, and an introduction to the Lebesgue Integral.
    Prerequisite: MATH 412 


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  • MATH 472 - Theory of Numbers

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A study of the elementary properties of integers, invisibility, Euclid’s Algorithm, prime numbers, and congruences.
    Prerequisite: MATH 260 


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  • MATH 481 - Introduction to Topology

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A study of topics in the field of point set topology, including topological and metric spaces and an overview of various topological properties such as separation axioms, countability, compactness, connectedness, continuity, and homeomorphisms.
    Prerequisite: MATH 412 


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  • MATH 485 - Teaching Secondary School Mathematics Using Technology I

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course is a comprehensive study of teaching secondary mathematics with technology. The emphasis is placed on algebra, calculus, data analysis, probability, and statistics.


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  • MATH 486 - Teaching Secondary School Mathematics Using Technology II

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course is a continuation of MATH 485 . It provides a comprehensive study of teaching secondary school mathematics using technology, with emphasis on geometry and measurement.
    Prerequisite: MATH 485 


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  • MATH 492 - Complex Variables

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A rigorous study of elementary functions, differentiation and integration of analytic functions, Taylor and McLaurin series, Residue Theorem, and contour integration.
    Prerequisite: MATH 412  and MATH 461 


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Materials Science
  

  • MATS 160 - Introduction to Materials Science

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course is an introduction to topics in materials science, including the synthesis, fabrication, structures, properties and applications of materials. It covers various types of materials, such as metals and alloys, ceramics, polymers, and composite materials. Projects will be done using laboratory optical and electron microscopes to study the structure of various samples.
    Prerequisite: CHEM 141  and CHEM 142 


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  • MATS 204 - Properties of Engineering Materials

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course (cross-listed as ENGR 204 ) is an introduction to the fundamental physical principles governing the structure and constitution of metallic and nonmetallic materials and the relationship among these principles and the mechanical, physical, and chemical properties of engineering materials. The influence of the atomic the and grain structure of structural materials on mechanical properties will be considered. The effects of mechanical and heat treatments on structure and properties of materials are examined. Fatigue and creep of materials, fracture toughness, mechanical and non-destructive evaluation, environmental effects are studied. This course also addresses design considerations as well as characteristics of metals, ceramics, polymers and composites.
    Prerequisite: CHEM 141  and CHEM 142  and CHEM 161  and CHEM 162  and PHYS 121 


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  • MATS 214 - Solid Mechanics

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course (cross-listed as ENGR 214 ) is an investigation of the concepts and theories of internal force, stress, strain, and strength of structural elements under static loading conditions. Constitutive behavior for linear elastic structures is discussed. Deflection and stress analysis procedures for bars, beams, and shafts will be considered. Introduction to matrix, analysis of structures will be made.
    Prerequisite: MATH 242  and MATS 204 


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  • MATS 260 - Introduction to Nanomaterials

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course is an introduction to the rapidly developing field of nanomaterials and their applications. Topics cover nanomaterials properties, fabrication, and characterization. Students will work in small groups to carry out projects on nanomaterial imaging of provided specimens, using electron microscopy and/or atomic force microscopy.
    Prerequisite: MATS 160  and CHEM 161  and CHEM 162  and (PHYS 112  or PHYS 122 ) or instructor consent


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  • MATS 301 - Introduction to Polymer Science

    Credit Hours: 3
    Lecture Hours: 2
    Lab Hours: 3

    This course covers general concepts about polymeric systems including synthesis, characterization, structure development and bulk properties. Applications of polymers including fibers and composites are also covered.
    Prerequisite: MATS 204  or (CHEM 223  and CHEM 224 )


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  • MATS 311 - Scanning Electron Microscopy and Microanalysis

    Credit Hours: 4
    Lecture Hours: 2
    Lab Hours: 4

    This course provides students with cutting-edge electron microscopy research skills using stateof-the-art scanning electron microscope (SEM) and electron microprobe analyzer (EMPA), to study the structure of diverse material or biological samples. It comprises both theories in the lectures and hands-on trainings in the laboratories. Upon completion of the course, the students are trained to utilize the microscopy skills for independent research.
    Prerequisite: MATS 204  and (PHYS 112  or PHYS 122 )


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  • MATS 321 - X-Ray Diffraction Analysis

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course provides fundamental knowledge and analyzing skills in X-ray diffraction method. It covers the physics of X-ray generation, characteristics and safety issues; crystal geometry and Bragg diffraction; and various applications of XRD for materials research, including crystal structure determination, precise lattice parameter measurement, qualitative and quantitative phase analyses, crystal size and stress measurement.
    Prerequisite: MATS 204  and CHEM 161  and CHEM 162  and (PHYS 112  or PHYS 122 )


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  • MATS 360 - Introduction to Electronic Materials

    Credit Hours: 4
    Lecture Hours: 3
    Lab Hours: 2

    This course is an introduction to the fundamental properties of semiconductors used in electronic, optoelectronic, and photovoltaic fields. The emphasis will be on material electronic and optical properties, which are intertwined with crystal structure and chemical composition of such materials. Laboratory activities will be carried out in the form of problem-solving through computer simulations of material properties, as well as material electric and optical characterization. Students will have hands-on measurements of resistivity of silicon, photoconductivity, and quantum efficiency spectroscopy of optical-electron conversion in solar cells and optical sensors.
    Prerequisite: MATS 204  and CHEM 161  and CHEM 162  and (PHYS 112  or PHYS 122 )


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  • MATS 423 - Nanoscience and Nanotechnology

    Credit Hours: 3
    Lecture Hours: 2
    Lab Hours: 3

    This course (cross-listed as CHEM 423 ) is a comprehensive introduction to the rapidly developing field of nanoscience and nanotechnology. Topics cover the properties, synthesis, and characterization of nanomaterials and their applications to nanobiotechnology/ nanomedicine and nanoelectronics, as well as laboratory activities involving the synthesis and characterization of novel nanostructures.
    Prerequisite: CHEM 211  and CHEM 212  and PHYS 122  or (MATS 260  and PHYS 122 ) or instructor approval


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  • MATS 460 - Electronic Materials and Processing

    Credit Hours: 4
    Lecture Hours: 3
    Lab Hours: 2

    This is an in-depth course that focuses on electronic and optoelectronic materials. It discusses the materials science of semiconductor processing, with emphasis on elemental (silicon and germanium) and III-V compound (gallium arsenide) semiconductors and related materials. The course includes the thermochemistry of semiconductors, the dynamics of defect formation, and the processing and process control to achieve desired materials properties. The course discusses the principles of design and production of novel materials to obtain electronic devices with superior performances; in essence, the science of how to obtain nanostructured electronic and opto-electronic materials.
    Prerequisite: MATS 360 


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Medical Terminology
  

  • MEDI 200 - Medical Terminology

    Credit Hours: 2
    Lecture Hours: 2
    Lab Hours: 0

    A comprehensive study of the language of medicine, including the use of the terms in the various areas of medical science.


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Management
  

  • MGMT 311 - Principles of Management

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A study of the theory and process of management principles and basic organization behavior. Emphasizes major managerial functions such as planning, organizing, leading, and controlling, as well as the role of the manager in a changing environment. Explains ethical issues, managerial decision making, leadership behaviors, and managing a diverse workforce and provides an introduction to international management.
    Prerequisite: ECON 211  or ECON 212  and ACCT 211 


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  • MGMT 325 - Quantitative Methods for Business

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course provides an introduction to management science topics and modeling in the decision making process. It covers the quantitative tools for managerial decision making and focuses on areas such as linear programming, inventory control, PERT/CPM, simulation, decision analysis, and queuing theory. Computer software used for solving these problems.
    Prerequisite: BADM 216  and MGMT 311 


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  • MGMT 335 - Operations Management

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course provides an introduction to the process of producing goods and providing services, with class work oriented toward the analysis and solution of practical problems using quantitative techniques. The focus will be on areas such as product and production design, operation strategy, project management, quality assurance and international management issues, capacity decisions, plant layout, supply chain management, forecasting, inventory management scheduling, and aggregate planning.
    Prerequisite: BADM 216  and MGMT 311 


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  • MGMT 340 - Project Management

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A study of the planning and control of IT projects and the control and optimization of time/costs will be discussed. Different models of project control under certainty and uncertainty will be presented.
    Prerequisite: MIS 300  and BADM 216 


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  • MGMT 350 - Entrepreneurship

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A study of the creation, growth, or acquisition of business through entrepreneurial efforts, the nature of the entrepreneurship process, and the organization of growth oriented acquisitions.
    Prerequisite: MGMT 311  and FINC 311  and MKTG 311 


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  • MGMT 410 - Human Resource Management

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A study of personnel administration, including the objectives, organization, functions, and role of personnel management in the operation of business enterprises, with attention to key problems in the areas of employee selection, hiring, and placement; training; wage and salary administration; promotion, transfer, and separation; personnel services; and labor relations.
    Prerequisite: MGMT 311 


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  • MGMT 415 - HR Staffing and Development

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course provides the student with insight into the theories and techniques of the key Human Resource Management (HRM) functions of employee selection and employee training and development. Selection is viewed as establishing the employment relationship while training is viewed as addressing skip gaps between employees’ actual and desired performance. Strategies are explored for measuring job performance requirements in order to effectively recruit, select, and train employees to meet organizational and individual objectives. Legal, ethical, and global issues in human resources staffing and development are explored throughout the course. This course covers core material essential for managers and for every HRM professional.


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  • MGMT 420 - Organizational Behavior

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    The study of human behavior at the individual, group and organizational level including discussion and case studies related to motivation, perception, job design, group behavior, communication, interpersonal conflict, ethics, performance, motivation, and leadership.
    Prerequisite: MGMT 311 


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  • MGMT 421 - Quality Management

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    Quality has become the responsibility of everyone and has been applied by manufacturer and services alike to achieve competitive advantage. This course examines the concept of quality and develops skills in the use of quality tools. Primary focus will be on the management of quality by all the disciplines in an integrated manner within the organization, statistical quality control, total quality management, international quality standards, Japanese concepts of quality, and related topics.
    Prerequisite: BADM 216  and MGMT 311 


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  • MGMT 425 - International Business Management

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A survey of the theoretical and institutional complexities of international business operations, with emphasis on the special knowledge and skills essential to personnel engaged in the planning and administration of business enterprises and governmental organizations with overseas relationships.
    Prerequisite: MGMT 311 


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  • MGMT 435 - Group and Interpersonal Dynamics

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course is conducted in a learning group setting where students experience first hand the dynamics that occur in a task-oriented group while reading and learning about the theory of group development. This course should be taken concurrently with MGMT 470 - Strategic Management  or MIS 330 - System Analysis and Design  or another course where the student is involved in a team project. The class will explore key issues that underlie group life such as inclusion, influence and intimacy. Leadership and how it emerges within the group will be a key aspect of the learning. The course also includes self assessment exercises and feedback from the group that increases students’ awareness of their own styles in interacting with others, including influence style, conflict management, decision making style, communicating and listening styles.
    Prerequisite: MGMT 311 


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  • MGMT 450 - Small Business Management

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    The process of managing a small business including planning, marketing, production, finance, organization, personnel, and pragmatic issues in real situations.
    Prerequisite: MGMT 311  and FINC 311  and MKTG 311 


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  • MGMT 460 - Corporate Entrepreneurship

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course addresses the emerging practice of corporate entrepreneurship or Intrapreneurship, broadly defined as the application of entrepreneurial capabilities of the development of new venture within an existing firm. Thus, this course will provide insights into the innovation process in corporations and the unique problems and opportunities that managers and corporate entrepreneurs face in translating innovative ideas into successful results, from opportunity recognition to new venture creation.


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  • MGMT 470 - Strategic Management

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A capstone course focusing on the theoretical and practical knowledge acquired in previous undergraduate business administration courses. Text and lecture will cover external and internal environmental analysis, business and corporate level strategy, industry analysis, functional strategy, implementation, control, and global business. Case analysis and presentation will combine and enhance learning acquired from readings and Internet searches.
    Prerequisite: MGMT 311  and FINC 311  and MKTG 311 


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  • MGMT 490 - Leadership and Communication

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course is intended to develop the leadership and communication skills that students need to be transformational leaders in their professional career. The course covers theories and dimensions of leadership effectiveness. Through various role playing and case analysis activities, the course measures students’ leadership competencies in four areas: developing the vision, sharing the goals, gaining support, and delivering success. The course places emphasis on proper leadership communication, interpersonal skills, cultural literacy and cross-cultural leadership communication, conducting meetings, high-performing team leadership, and public speaking. To this end, all students are required to join a chapter of Toastmaster International and participate actively in all meetings during the course of the semester.
    Prerequisite: This is a capstone course for an interdisciplinary degree program; senior standing is required


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  • MGMT 491 - Introduction to ERP and Business Processes Using SAP

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A problem-based, interdisciplinary course on Enterprise Resource Planning (ERP) concepts to help students understand the integrated software modules used to run virtually all business processes in an organization. Explains and demonstrates in detail how business processes such as sales logistics, production/ material management, procurement, and human resources are supported in an ERP software package.


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  • MGMT 492 - Electronic Business Management Using SAP

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    A problem-based exploration of the various electronic business tools and technologies required to efficiently manage a supply chain.


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  • MGMT 493 - Operations Planning and Control Using SAP

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    Delivers detailed information on planning and control systems for business operations through aggregate production planning procedures and disaggregation methods in hierarchical production planning. Topics include forecasting, capacity planning, scheduling, and inventory management.
    Prerequisite: MGMT 491  


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  • MGMT 494 - Purchasing and Materials Management Using SAP

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    Focuses on materials management and purchasing policies, procedures and goals including the role of purchasing in production planning and inventory management. Key topics include: providing uninterrupted flow of materials and services, keeping inventory at a minimum to achieve the organization’s objectives, quality standards, supplier selection, and development, order specifications, and agreements, improving competitive position, and achieving positive external and internal working relationships.
    Prerequisite: MGMT 491  


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Management Information Systems
  

  • MIS 211 - Business Software Applications

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course provides a hands-on approach to learning business software applications. Topics in this course include spreadsheet and database software application development, web design, internet search and e-collaboration through white boarding, messaging, and discussion boards. These software environments and tools are extensively used in organizations to analyze situations and solve problems.


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  • MIS 212 - Introduction to Computer Programming

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course will introduce students to basic concepts of programming using Visual Basic with emphasis on business applications. The topics for the course will include VB programming, computer concepts in relation to management, the use of Integrated Development Environment (IDE), flowcharts, algorithms, decision making, control structures, modules, developing simple forms, writing procedures, using array.


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  • MIS 300 - Information Systems Theory and Practice

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course provides an understanding of systems and development concepts, information technology, and application software. This course explains how information and technology are used in organizations to enable improvements in business processes, support decision-making, and contribute to the achievement of competitive advantage. The course focuses on topics such as databases, data warehouses, decision-making, SCM, electronic commerce, system acquisition, and ethical issues. MS Office software will be used to demonstrate IT solutions for business situations.
    Prerequisite: BADM 214  or CSC 100 


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  • MIS 320 - Database Management Systems

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course covers information systems design and implementation within a database management system environment. Students will construct a physical system using database software to implement the logical design. Different available software will be discussed.
    Prerequisite: MIS 300 


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  • MIS 321 - Advanced Database Management

    Credit Hours: 3
    Lecture Hours: 3
    Lab Hours: 0

    This course will cover more advanced topics in database design concepts and provides additional instruction on multi-sharing databases. It completes the SQL and will introduce the Oracle.
    Prerequisite: MIS 300  and MIS 320 


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