2016-2017 Undergraduate Catalog [ARCHIVED CATALOG]
Course Descriptions
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Mathematics |
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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 |
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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 |
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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 |
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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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Management Information Systems |
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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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MIS 322 - Enterprise Resource Planning
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
The concepts of integrated information systems and total systems are the main core of this course. Introduction of different software will be a part of this course.
Prerequisite: MIS 300
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MIS 323 - Data Warehousing and Data Mining
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
In this course the concepts of database of databases i.e. the data warehouse will be presented. Different algorithms for data mining will be presented.
Prerequisite: MIS 300 and MIS 320
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MIS 330 - System Analysis and Design
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course provides an understanding of the system analysis and development. It introduces different systems development methodologies and explains the SDLC (Systems Development Life Cycle) by leading students through detailed steps of Planning, Analysis, Design and Implementation. It provides the details for all activities for planning and analysis phase and prepares the students for the second course (MIS 331 ). Computer tools will be used in construction of the systems.
Prerequisite: MGMT 311 and MIS 320
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MIS 331 - Systems Development
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course continues the materials on MIS 330 and concentrates on the last two phases of systems development life cycle i.e. design and implementation. Students will use Visual Basic Application and Microsoft Macros to write codes to enhance the applications. Some concepts of Object Oriented Design will be introduced in this course. CASE Tools will be used to facilitate different tasks on Systems Development Life Cycle
Prerequisite: MIS 430 and CSC 102 and MIS 320 and MIS 330
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MIS 332 - Object-Oriented Programming and Design
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course is about the object oriented technology and modular design of the systems and related programming issues.
Prerequisite: CSC 102 and MIS 300
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MIS 340 - Project Management
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
The concepts of planning and control of projects and mainly the IT projects will be discussed. The control and optimization of time/costs will be discussed. Different models of project control under certainty and uncertainty will be presented.
Prerequisite: BADM 216 and MGMT 311 and BADM 214 and MIS 300
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MIS 409 - Web Development
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course introduces Hyper Text Markup (HTML), Cascading Style Sheets (CSS), and Java Script languages to build dynamic web pages. Students will learn how to implement web pages with links, images, image maps, forms, multimedia content, and dynamic pop-up windows, scroll messages, and validating forms in web pages.
Prerequisite: MIS 300 with a grade of C or better
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MIS 410 - Supply Chain Management
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
In supply chain, the suppliers connect to customers through a series of processes e.g. purchasing, production, storage, sales, transportation and distribution. Each of these business processes and business units interface with others by sending outputs and receiving inputs preferably over an electronic supply chain network. Modeling of these units and optimization of flows together with other issues such as human factors, cultural issues, security factors, automation and other related topics will be discussed.
Prerequisite: MIS 300 and BADM 216
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MIS 411 - Excel Analytics
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course introduces modeling concepts in the Excel environment. Students will learn how to implement several accounting and financial models using formulas, functions, and tools to manipulate and display information in spreadsheets. Data visualization for trends discovery and dashboard reporting will also be emphasized.
Prerequisite: MIS 300 or ACCT 300 with a grade of C or better
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MIS 412 - Business Analytics
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course provides an introduction to the field of business analytics, which has been defined as the extensive use of big data, statistical and quantitative analysis, exploratory and predictive models, and fact-based management to drive decisions and actions. Various data visualization techniques using Excel 2013 are discussed. Linear regression model, time series analysis, and forecasting models are addressed in detail. Different data mining techniques such as cluster analysis, association rules, classification, and regression trees are covered in depth using XLMiner or SAS Enterprise Miner. Students actively participate in the delivery of this course through case and project presentations.
Prerequisite: MIS 300 or ACCT 300 with a grade of C or better
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MIS 415 - Social Media and Digital Marketing
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This class introduces social media and tools, their use in marketing, and their impacts on the business world. Students will understand the use of social media and make recommendations of popular web applications for marketing and business uses. They will also describe new business models and opportunities that the web and social media enable. Through readings, in-class exercises, projects, and presentations, students will learn about current web technologies, strategies for integrating web-enabled capabilities in the enterprise, and their impact on organizational functions such as marketing, branding, or crowd-sourcing and the innovative management of consumers. Students will apply their knowledge of social media technologies by creating, managing, promoting, and recommending social media for a real business. This course will be cross listed with MKTG 333 .
Prerequisite: MIS 300 and MKTG 311
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MIS 420 - Management Support Systems
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course will focus on decision making processes under semi-structured situations. Different theories and practices related to decision theory will be covered using several teaching methodologies. Databases, user interfaces, knowledge bases, and modeling concepts will be discussed and students will learn several tools for aiding decision makers in various phases of decision making. Students will be introduced to business intelligence technologies that support business analytics and will learn how to implement data mining model(s) for prediction. Decision modeling software will be used to demonstrate model implementations
Prerequisite: MGMT 325 and MIS 320
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MIS 421 - Artificial Intelligence and Expert Systems
Credit Hours: 3
Lecture Hours: 0
Lab Hours: 3
The concepts of using machines to imitate human behavior and transferring human knowledge and know how of humans to machines are the main themes of this course. Different models, algorithms and software will be discussed.
Prerequisite: MIS 300 and BADM 216
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MIS 430 - Data Communication and Networking
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course provides an understanding of data communications and networking, including networking and telecommunication technologies, hardware, and software. Special emphasis is placed on the analysis, design, and management of networking applications in organizations.
Prerequisite: MIS 300
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MIS 435 - Electronic Commerce
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course introduces emerging online technologies and trends and their influence on the electronic commerce marketplace. Students will learn various revenue models and how to market on the Web, various legal and ethical issues, important security issues, and how to plan for electronic commerce. This course also introduces the current Web design concepts and techniques that will help students develop a real electronic commerce site.
Prerequisite: MIS 300
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MIS 440 - New Topics In MIS
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
Information technology is a very dynamic field that changes very quickly. The new concepts introduced in this area will be presented in this seminar course.
Prerequisite: MIS 300
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MIS 450 - Advanced SQL
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course provides students with advanced SQL skills that allow them to write effective queries against single and multiple tables; manipulate data in tables; create database schema objects; create indices and constraints; alter existing schema objects; create and query external tables; and learn to use the advanced features of SQL in order to query and manipulate data within the database. Students also learn to control privileges at the object and system level and will be able to work with date-time functions available in the Oracle Database. In this course, students use Oracle SQL Developer as the main development tool. SQL*Plus will be introduced as an optional development tool. This course is one of three Oracle certification training courses.
Prerequisite: MIS 321
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MIS 451 - Programming with Advanced PL/SQL
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course covers advanced PL/SQL concepts. Students learn to create PL/SQL blocks of application code that can be shared by multiple forms; create reports and data management applications; create anonymous PL/SQL blocks; work with stored procedures and functions; declare variables; trap exceptions; and declare and control cursors. In addition, students learn to develop, execute, and manage PL\SQL stored program units such as procedures, functions, packages, and database triggers. They also learn to manage object dependencies and the recompilation of invalid objects. This course also describes the characteristics and techniques of the manipulation of large objects. Students are introduced to the uses of some of the Oracle-supplied packages. This is one of three Oracle certification training courses.
Prerequisite: MIS 321 or MIS 450
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MIS 452 - Advanced Database Design and Development
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
The objective of this course is to provide students with the practical database experience necessary for the successful completion of the Oracle PL/SQL Developer Certified Associate Exam. Students will be required to design a database for a business situation, create and manage all objects necessary for implementation, and perform various maintenance operations on that database. This is one of three Oracle certification training courses.
Prerequisite: MIS 321 or MIS 450
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MIS 455 - Business Modeling and Simulation
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This is an elective course for MIS majors and for business majors who are interested in learning the process of modeling business situations and developing model applications using popular Excel add-ins such as: Solver optimization, Crystal ball for forecasting, RiskAmp Monte Carlo simulation, TreePlan for decision analysis, and @Risk for risk analysis. This course combines tangible applications in Finance, Marketing and Operations with a modeling philosophy of learning by doing
Prerequisite: MIS 300 and BADM 216 and MGMT 325 and MGMT 325
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MIS 498 - Information Systems Internship
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course involves the application of quantitative and systems skills developed in the academic environment to problems in a real-world operating environment. The participant will receive practical training and experience under the guidance of the staff of a local business or government organization and a faculty supervisor. Available internships are filled on a competitive basis.
Prerequisite: Senior standing and consent of faculty supervisor
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MIS 499 - Management Information Systems Co-Op
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
MIS Co-op offers students an opportunity to prepare for a career involving the application of information technology by combining academic theory and work experience. Three hours of academic credit are awarded for half-time paid work experience over a 15-week period. The cooperative education staff, the student, the MIS Co-op director, and the employer’s co-op supervisor must agree on the employment terms and the learning experience to be gained in a written contract. The academic grade is assigned by the MIS Co-op director based on student reports and reports of the employer’s co-op supervisor.
Prerequisite: MIS 300
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MKTG 311 - Principles of Marketing
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
A study of the principles of marketing; current practices and structures of the market; analyses of marketing functions, institutions, costs, and marketing legislation.
Prerequisite: ACCT 211 and ECON 211 or ECON 212
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MKTG 312 - Entrepreneurial Marketing
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course clarifies key marketing concepts, methods, and strategic issues relevant for start-up and early-stage entrepreneurs. Topics addressed include: (1) Marketing issues facing entrepreneurs today; (2) Identification and evaluation of marketing opportunities; (3) Achieving competitive advantages given limited marketing resources, and (4) Major marketing/sales tools that are useful in an entrepreneurial setting. This course is cross listed with ENTR 312 .
Prerequisite: MKTG 311
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MKTG 322 - Advertising
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
A study of the principles of advertising, advertising media, and special problems of small business concerns, including appropriations and planning related to the development of advertising and the economic significance of advertising to both the consumer and the advertiser.
Prerequisite: MKTG 311
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MKTG 325 - Personal Selling
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
An overview of skills and knowledge involved in personal selling. Emphasis on learning the different techniques for developing personal selling presentations, prospecting for customers, managing customer accounts, and the use of IT in the personal selling role. The course is designed for the student to gain a greater appreciation, understanding, and respect for sales, especially the interpersonal communication process.
Prerequisite: A “C” or better in MKTG 311
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MKTG 330 - Retailing
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
A survey of retailing and its role in distribution, focusing on problems of administrative organization, store location, layout, buying, pricing, merchandising, sales promotions, and current trends in retailing.
Prerequisite: MKTG 311
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MKTG 331 - Consumer Behavior
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
A survey of the theories of consumer behavior, with contributions from the social sciences and their applications to the marketing discipline.
Prerequisite: MKTG 311
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MKTG 333 - Social Media and Digital Marketing
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This class introduces social media and tools, their use in marketing, and their impacts on the business world. Students will understand the use of social media and make recommendations of popular web applications for marketing and business uses. They will also describe new business models and opportunities that the web and social media enable. Through readings, in-class exercises, projects, and presentations, students will learn about current web technologies, strategies for integrating web-enabled capabilities in the enterprise, and their impact on organizational functions such as marketing, branding, or crowd-sourcing and the innovative management of consumers. Students will apply their knowledge of social media technologies by creating, managing, promoting, and recommending social media for a real business. This course will be cross listed with MIS 415 .
Prerequisite: MIS 300 and MKTG 311
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MKTG 412 - Sales Management
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
A study of the functions of a sales department within the marketing organization, including the recruiting, selecting, training, motivating, supervising, compensating, and evaluating sales personnel.
Prerequisite: MKTG 311
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