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2021-2022 Undergraduate Catalog [ARCHIVED CATALOG]
Courses
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Latin American and Latino Studies |
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LAS 4990 Independent Study
As approved and to be arranged with instructor and by chairperson.
Credits: 1.0 - 6.0
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Latin |
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LAT 1100 Basic Latin I
Introduces the basic elements of classical Latin. The student is exposed to the cultural and historical background of the Romans as a means of understanding the Roman contribution to our age and culture. Students can only receive a grade higher than a C- in this course.
Credits: 3.0
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LAT 1110 Basic Latin II
Reading and translating complex forms of classical Latin, stressing correlations with the English language. Prerequisite(s): LAT 1100
Credits: 3.0
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LAT 2100 Intermediate Latin I
Course introduces students to the basic elements of Classical Latin. Students will be exposed to the cultural and historical background of the Romans as a means to understand Roman contribution to our age and culture. It also aims at developing students’ ability to detect the precise meaning of English words derived from the Latin language. Prerequisite(s): LAT 1110
Credits: 3.0
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LAT 3990 Selected Topics
A topic not covered by an existing course is offered as recommended by the department and approved by the dean.
Credits: 1.0 - 6.0
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LAT 4990 Independent Study
As approved and to be arranged.
Credits: 1.0 - 6.0
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Law |
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LAW 2010 Legal Environment of Business
Designed to familiarize students with the legal system with particular emphasis on the court system and administrative agents. Also includes examination of substantive areas such as antitrust, bankruptcy, corporate law, partnership, and securities regulations.
Credits: 3.0
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LAW 2510 Business Law I: Contracts
Designed to acquaint students with the laws of contracts. Examines concepts such as offer, acceptance, consideration, competent parties, legal subject matter, assignments, and third party beneficiaries. Scrutinizes defenses such as statute of fraud, infancy, insanity, and parole evidence.
Credits: 3.0
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LAW 2520 Business Law II: Sales and Negotiable Instruments
Acquaints students with Articles II, III, IV, and IX of the U.C.C. Critically examines concepts such as warranty, risky loss, bona fide purchases for value, products liability, negotiability, checks, notes, holder in due course, and secure transactions. Prerequisite(s): LAW 2510
Credits: 3.0
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LAW 3990 Selected Topics
A topic not covered by an existing course.
Credits: 1.0 - 6.0
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LAW 4990 Independent Study
A special project, supervised by a faculty advisor.
Credits: 1.0 - 6.0
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Leadership & Professional Studies |
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Liberal Studies |
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LBST 2010 Liberal Studies Colloquium
The portal course to Liberal Studies, the colloquium will vary thematically but will be guided by common objectives. The course introduces students to interdisciplinary, inquiry-based learning. It requires extensive engagement with reading material, substantial writing, library research, and use of instructional technology. These set the framework for the entire program. Colloquium topics may include, for example, “Life Span,” Gender and Society,” “Diasporas”, “War and Peace,” Technology and Society,” “Citizenship in a Global Age”, or “Individual Freedom and Social Obligation”.
Credits: 3.0
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LBST 2500 Liberal Studies and Community Engagement
In every society, individuals must struggle with balancing their own rights and freedoms with their responsibilities towards others. Liberal Studies and Community Engagement explores the ethical reasoning needed to bring individuals together into a community that allows connection and reciprocity while respecting individuals’ autonomy. This course covers topics in social justice and applied ethics such as: responsible citizenship in local, national, and global societies, economic inequality, corporate responsibility, environmental justice, animal rights, reproductive rights, euthanasia, the death penalty, and diversity and equality. The course also discusses strategies for engaging with ethical issues in the community and requires civic engagement projects in which ethical theory is applied.
Credits: 3.0
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LBST 4800 Senior Capstone Seminar
This seminar will draw on students’ experiences in the Liberal Studies Colloquium and in their two concentrations. Students will select an individual research topic that synthesizes interests they have developed within their concentrations. They will develop this topic throughout the term through extensive interdisciplinary research and writing. Students will share their projects with classmates through classroom presentations and/or online discussion groups, and will exchange detailed feedback with other students. Stuents will be expected not only to become experts on their topics, but also to teach their topics to their fellow students and to learn from their fellow students’ responses to their topics. Prerequisite(s): LBST 2010
Credits: 3.0
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Mathematics |
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MATH 1090 Mathematical Concepts
This course is intended to provide a wide ranging exposure to mathematical ideas expected of the liberal arts undergraduate. Topics include: Voting, Fair Division, Apportionment, Graphs and Networks, Consumer Finance, Statistics and Probability. The course is designed for students not majoring in business, the sciences or mathematics. Prerequisite(s): WPS 1060
Credits: 3.0
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MATH 1100 Contemporary Math
This course is intended to provide a wide ranging exposure to the mathematical ideas expected of a liberal arts graduate. Topics include Sets, Logic, Statistics, Probability, Number Systems and Problem Solving. The course is designed for students not majoring in business, the sciences or mathematics. Prerequisite(s): WPS 1060
Credits: 3.0
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MATH 1110 Algebra and Geometry with Applications
This is a course with emphasis on studying practical problems with mathematical models. Topics include: Problem solving, number theory, introduction to functions and modeling, systems of equations and matrices, exponential and logarithmic functions, linear inequalities in two variables and geometry. Prerequisite(s): MATH 1100
Credits: 3.0
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MATH 1150 College Algebra
To give students in mathematics, science, and computer science the algebraic tools necessary to be prepared for precalculus and calculus. Topics include: graphing lines, parabolas and cubis equations, review and applications of the quadratic equation, exponents, radicals and complex numbers, systems of three equations in three unknowns (both linear and nonlinear), polynomial division, midpoint formula, introduction to the six trigonometric functions, and three Pythagorean identities. Prerequisite(s): WPS 1060
Credits: 3.0
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MATH 1160 Precalculus
This course is a comprehensive study of exponential, logarithmic and trigonometric functions. Topics include function properties, exponential and logarithmic functions( their properties and graphs), solving exponential and logarithmic equations, trigonometric functions (their properties and graphs), trigonometric identities and solving trignometric equations. Prerequisite(s): MATH 1150 with a grade of C- or better.
Credits: 3.0
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MATH 1170 Business Math
A study of algebraic and transcendental functions, including their properties and graphs with a focus on applications to business. Topics include algebraic fundamentals, equations and inequalities, polynomial functions and graphs, exponential and logarithmic functions and mathematics of finance. Prerequisite(s): WPS 1060
Credits: 3.0
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MATH 1300 Elementary Statistics
This course studies the development of statistical concepts with applications to various disciplines. topics include descriptive and inferential statistical techniques. The latter are explained in terms of concets from probblility theory such as normal distribution, t-distribution, sampling theory, estimation, confidence intervals, hypotheis testing, t-test, Chi squate test, analysis of variance and regressiona nd correlation. The software package SPSS is used to perform statistical analysis. Emphasis is on understanding the concepts and problem solving using modern technology. Prerequisite(s): WPS 1060
Credits: 3.0
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MATH 1350 Algebra, Trigonometry and Functions
A comprehensive study of algebraic and elementary transcendental functions. topics include the real number system, solving equations and inequalities, function properties, algebraic functions and their graphs, exponential and logarithmic functions (their properies and graphs), solving exponential and logarithmic equations, trigonometric functions (their properites and graphs), trigonometric identities and solving rigonometric equations. Prerequisite(s): Permission of the chairperson is required.
Credits: 4.0
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MATH 1400 Quantitative Math I
An introduction to functions, equations, matrix algebra, linear programming, non-linear models and mathematics of finance. Topics include Equations and inequalitites, Functions and Graphs, Matrix Algebra, Linear Programming: Graphical Analysis as well as the Simplex Method, and Mathematics of Finance. Only for students in the Business college.
Credits: 3.0
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MATH 1450 Quantitative Math II
This course covers essential ideas of the calculus: functions, limits, continuity, differentiation and applications, antiderivatives, definite integrals, and multivariable calculus. Business applications are stressed. Prerequisite(s): MATH 1400
Credits: 3.0
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MATH 1600 Calculus I
This course explores calulus techniques and methods and teaches the use of technology to understand topics related to limits, continuity, differentiation and integration. Applications of calculus to problem solving in science, mathematics and other related areas are examined. Topics include limits and continuity of functions, the Intermediate Value Thorem, derivatives, differentiation rules, Rolle’s Theorem and the Mean Value Theorem, applications of differentiation, antiderivatives, definite integrals and the fundamental theorem of Calculus. Prerequisite(s): MATH 1160 OR MATH 1350 with a grade of C- or better.
Credits: 4.0
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MATH 1610 Calculus II
Indefinite and definite integrals and their estimation, introductory differential equations, applications of integration, techniques of integration, improper integrals, infinite series, and introduction to Taylor polynomials and approximations. Prerequisite(s): MATH 1600
Credits: 4.0
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MATH 2000 Logic and Methods of Higher Mathematics
An introduction to rigorous reasoning through logical and intuitive thinking. The course provides logical and rigorous mathematical background for study of advanced math course. Students are introduced investigating, developing, conjecturing, proving, and disproving mathematical results. Topics include formal logic, set theory, proofs, mathematical induction, partial ordering, relations, and functions. Prerequisite(s): MATH 1600
Credits: 3.0
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MATH 2010 Calculus III
Conic sections, rotation of axes, graphing and area in polar coordinates. Vectors and vector- valued functions, calculus of functions of several variables, including partial differentiation and multiple integrals. Prerequisite(s): MATH 1610
Credits: 4.0
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MATH 2020 Linear Algebra
An introductory course in the theory of linear transformations and vector spaces. Topics include systems of equations, matrices, determinants, inner product spaces, eigenvalues and eigenvectors. Prerequisite(s): MATH 1610
Credits: 3.0
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MATH 2120 Survey of Mathematics
This course surveys number theory, graph theory, combinatorics, and the history of mathematics. Prerequisite(s): MATH 1610
Credits: 3.0
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MATH 2200 Python for Exploration
This course will give students an introduction to Python and how to use the language to investigate different topics from math, science, and other fields. Students will begin with an introduction to set-builder notation in Mathematics and then learn to translate this notation into Python using set comprehensions. List and generator comprehensions will then be introduced for handling ordered collections. Students will learn how to use functions in Python to better organize their code, and then learn to solve problems using recursive techniques. Python dictionaries will then be introduced, followed by a deeper study of scalar data types and all the built-in data structures together with their methods and built-in functions. Students will learn about control flow tools in Python and effective code organization practices.
In the later parts of the course students will be learning to use some of Python’s most famous libraries such as NumPy, SciPy, SymPy, and scikit-learn. This part of the course will be devoted to investigating various topics in math, business, and the sciences with these libraries.
This course is Technology Intensive.
Prerequisite(s): MATH 1160 , MATH 1350 , MATH 1170 or permission from the instructor.
Credits: 3.0
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MATH 2300 Statistics I
A rigorous course for math and science majors, covering measures of central tendency; measures of variation; graphical techniques for univariate and bivariate data; correlation and regression, probability, binomial and normal distributions; estimation; confidence interval; testing of hypotheses; contingency tables; analysis of variance; nonparametric methods. Use of packages such as SAS, Minitab, etc., is emphasized.
Credits: 4.0
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MATH 2600 Integrated Research Methods/Statistics II
This course focuses on refining a research question and designing appropriate methods to collect data. Writing the method, results, and discussion sections of the research report and basic statistical procedures are included in this course. Basic methods of experimental research are also covered. Prerequisite(s): CSH 1300 OR CSH 2500
Credits: 3.0
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MATH 3010 Modern Algebra
An introduction to groups, isomorphisms, rings, integral domains, fields and polynomial rings. Emphasis is placed on techniques of proofs. Prerequisite(s): MATH 2000 OR CSH 2600
Credits: 3.0
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MATH 3110 Number Theory
This is an introductory course in Number Theory for students interested in mathematics and the teaching of mathematics. The course covers basic notions of integers and sequences, divisibility, mathematical induction, prime numbers, the Fundamental Theorem of Arithmetic, Euclidean Algorithm, and the Diophantine Equations and Congruence Equations and their applications. Prerequisite(s): MATH 2000
Credits: 3.0
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MATH 3220 Differential Equations
A study of the methods of solution and applications of ordinary differential equations. Topics include first- and second-order equations, existence and uniqueness of solutions, separation of variables, exact equations, integrating factors, linear equations, undetermined coefficients, variation of parameters, transform methods, series solutions, systems of equations and elementary numerical methods. Prerequisite(s): MATH 1610
Credits: 3.0
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MATH 3230 Foundations of Geometry
Develops an axiomatic approach to the study of geometry with specific applications to finite and non-Euclidean geometries. Knowledge of Euclidean (high school) geometry is assumed. Prerequisite(s): (CS 2600 OR MATH 2000 ) AND MATH 1610
Credits: 3.0
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MATH 3240 Probability and Statistics
A mathematical treatment of probability theory. Topics include probability axioms, discrete and continuous random variables, probability distributions, mathematical expectation, basic discrete and coninuous distributions, and functions of random variables. Also covered are Central Limit Theorem, parameter estimation, cnofidence intervals, hypothesis testing, and linear regression. Software such as SAS or Minitab is used for hypothesis testing and regression problems. Prerequisite(s): MATH 1610
Credits: 4.0
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MATH 3260 Mathematical Models in Finance and Interest Theory
A course on the formulation, analysis, and interpretation of advanced mathematical models in finance and interest theory. Technology will be used to give students a hands-on experience in developing and solving their own models. The course will cover the basic fundamentals needed for the second actuarial exam. Applications to “real-world” problems in interest theory, including the development of complex annuity models, will also be studied. Although primary focus will be on the application of financial models developed in Kellison, the mathematical derivation and analysis of the formulae will also be covered. Financial models studied will include: the accumulation function and the special cases of simple and compound interest; nominal and effective interest and discount rates, and the force of interest -both constant and varying; Valuation of discrete and continuous streams of payments, including the case in which the interest conversion period differs from the payment period; geometrically and arithmetically varying annuity models; application of interest theory to amortization of lump sums, depreciation, mortgages, and additional financial models. Prerequisite(s): MATH 2010 (C+ or better) or MATH 2020 (C+ or better)
Credits: 3.0
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MATH 3320 Statistical Computing
In this course, students solve statistical problems on the computer with the help of statistical packages, such as SAS, BMD, Mystat, etc., and learn to interpret the outputs and draw inferences. Topics include analysis of variance with and without interactions, correlation and regression analysis, general linear models, multiple comparisons, and analysis of contingency tables. Prerequisite(s): MATH 3240
Credits: 3.0
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MATH 3340 Applied Regression Analysis
This is a comprehensive treatment of regression analysis course, statistical topics including: simple linear regression, least square estimates, ANOVA table, F-test, R-square, multiple regression, using dummy variables, selections of the “best subset” of predictor variable, checking model assumptions, and Logistic regression. The computer package SAS will be used through out the course and applications to real life data will be an intergral part of the course. Prerequisite(s): MATH 3240
Credits: 3.0
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MATH 3350 Introduction to Numerical Analysis
Treatment of numerical methods including numerical integration, numerical solution of equations and systems of equations, approximation of functions, numerical solutions of differential equations, applications and computer implementation of numerical methods. Prerequisite(s): MATH 2020 OR MATH 3220
Credits: 3.0
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MATH 3720 Mathematical Models for Biological Sciences
Lecture and computer-lab course on the formulation, analysis, and interpretation of mathematical models in biology and medicine. A computer laboratory will give students hands on experience in developing and analyzing their own models. Applications to “real-world” problems in diverse areas of biology will be emphasized. Prerequisite(s): MATH 1600 AND BIO 1630
Credits: 4.0
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MATH 3800 Linear and Nonlinear Optimization
Iterative Algorithms, oprimization process and Linear Programming (LP), including the Graphical method and simplex method. Duality and Sensitivity analysis, LP applications in business and health. Nonlinear Unconstrained problems and various Descent methods. Nonlinear Constrained optimization, including Primal, Penalty, and Barrier methods. Prerequisite(s): MATH 2020
Credits: 3.0
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MATH 3990 Selected Topics
A topic not covered by an existing course is offered as recommended by the department and approved by the dean. The number of credits for MATH 3990 may vary from 1 to 3 for a selected topic. MATH 3990 cannot be credited more than twice, each on a different topic, toward degree requirements.
Credits: 1.0 - 6.0
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MATH 4010 Applied Algebra
Concepts of modern algebra are applied to different areas. Topics include Boolean algebra and applications to switching theory; automata (finite state machines) and Turing machines; recursive functions and some ideas in theory of computability, groups, rings, polynomial rings, finite fields applied to coding theory, development of binary group codes, Hamming codes, B-C-H codes, relations of geometry and statistical block designs to codes; importance of codes in communications. Prerequisite(s): MATH 2020 OR MATH 3010
Credits: 3.0
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MATH 4110 Advanced Discrete Math
This is an advanced course in discrete mathematics, primarily dealing with discrete dynamical systems, algorithms, combinatorics and Graph Theory. Emphasis is placed on complexity of algorithms, on existence and optimization problems in Graph Theory and on associated algorithms. Prerequisite(s): MATH 2020 OR CS 2600
Credits: 3.0
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MATH 4120 Time Series Modeling
This is an applied statistical methods course in time series modeling of empirical data observed over time. Prerequisite(s): MATH 3340
Credits: 3.0
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MATH 4130 Experimental Design for Statistics
For processes of any kind that have measureable inputs and outputs, Designe of Experiments (DOE) methods guide you in the optimum selection of inputs for experiments, and in the analysis of results. Full factorial as well as fractional factorial designs are covered. Software such as SAS or S-Plus will be used for testing and regression problems. Prerequisite(s): MATH 3240
Credits: 3.0
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MATH 4150 Topics From Applied Math
Topics are selected from various branches of applied mathe-matics. The mathematical principles and theories involved are applied to problems in the physical sciences, mathematics, biological sciences, business and computer science. Prerequisite(s): MATH 3220
Credits: 3.0
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MATH 4210 Mathematical Statistics
A theoretical treatment of statistical topics including distribution theory, sampling, point and interval estimation, methods of estimation, properties of estimators; maximum likelihood estimation; Neyman-Pearson Lemma, hypothesis testing and linear models. Prerequisite(s): MATH 3240
Credits: 3.0
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MATH 4220 Complex Analysis
Elements of complex analysis. Topics include complex numbers, analytic functions, Cauchy integral theorem, Cauchy integral formula, power series and conformal mapping. Prerequisite(s): MATH 2010
Credits: 3.0
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MATH 4230 Real Analysis
A rigorous approach to the theory of functions of real variables. Topics include metric spaces and their properties, sequences, limits, continuity, uniform continuity, differentiability, integration, and Riemann-Stieltjes integral. Prerequisite(s): MATH 2010
Credits: 3.0
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MATH 4250 Introduction to Topology
Topological spaces and their properties, connectedness, compactness, boundedness, limit points, continuity, homeomorphisms, topological invariants, separations, and countability axioms. Prerequisite(s): MATH 3010
Credits: 3.0
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MATH 4270 Mathematical Models Finance II
A course on the mathematical derivation, analysis, and interpretation of advanced mathematical models in finance and interest theory and is a continuation of course MATH3260. Technology will be used to give students a hands-on experience in developing and solving their own models. The course will cover the more advanced topics needed for the second actuarial exam. Applications to “real-world” problems in interest theory, including more complex analysis and applications of the models developed in MATH3260 will be studied. Although primary focus will be on the application of financial models developed in Kellison, the mathematical derivation and analysis of the formulae will also be covered.
Financial models studied will include: Valuation of discrete and continuous streams of payments, including the case in which the interest conversion period differs from the payment period; determination of yield rates on investments; application of interest theory to fixed income securities, cash flow and portfolio models and additional financial models. Derivation, analysis and applications of duration and convexity models for approximating changes in present value and for constructing investment portfolios for immunization and asset-liability management will also be studied.
Prerequisite(s): MATH 3260
Credits: 3.0
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MATH 4800 Statistics Seminar
This an elective course for all statistics minors. The course will be led by a faculty member and conducted in an inquiry based fashion, with coverage of topics in statistics determined by the interests of the students and faculty. Each student will complete a project of study in an area of statistics or its applications, culminating in a final paper submitted to the professsor leading the seminar.
Credits: 1.0
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MATH 4900 Mathematics Research Experience
This is a required course for all mathematics majors and should be taken, if possible, in the junior year. The course will be led by a faculty member and conducted in an inquiry based fashion, with coverage of topics determined by the interests of the students and faculty. Each student will complete a project of study in an area of mathematics or its applications, culminating in a presentation to the faculty and students, and a final paper submitted to the faculty advisor. Prerequisite(s): Must be registered or have completed in a 4000-level math course.
Credits: 2.0
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MATH 4990 Independent Study
An individual research project under the direction of a faculty member and with the approval of the chairperson. The number of credits for each independent study may vary from 1 to 3 per semester, up to a limit of 6 credits.
Credits: 1.0 - 6.0
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Management |
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MGT 2000 Principles of Management
Introduces basic principles, policies, problems, and successful methods of business organization and management. Emnphasizes management’s ability to analyze, plan, coordinate, and control the varied activities of production, personnel, finance, and marketing. Also examines social responsibility and environmental factors affecting business policy and operation.
Credits: 3.0
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MGT 2110 Business Statistics for Managers
This course covers the following: sampling distribution of the sample statistics; probability limits and tests of significance; statistical inference and confidence limits; operating characteristics curves; simple experimental design; and applied probability for decision making. Prerequisite(s): MATH 1400 AND ECON 2100
Credits: 3.0
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MGT 3050 Management Information Systems
This course is an overview of information systems at different levels of an organization. It addresses current technology, its impact on organizations, and its management. The evolving role of information systems and related technology within a business organization is also studied. The learning process is enhanced by means of critically studying and analyzing, with the support of information technologies, real business cases. Prerequisite(s): MGT 2000
Credits: 3.0
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MGT 3060 Organizational Behavior
This course introduces the “micro” theories of organization. It focuses on human behavior and action within the organizational setting. Case studies and experiential exercises are emphasized in the class. Prerequisite(s): MGT 2000
Credits: 3.0
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MGT 3080 Organizational Theory
This course introduces the “macro” theories of organization. It focuses on the organization as a whole and its relationship with the environment. Special topics include goal, technology, structure, process, politics, and culture. In understanding any organizational phenomenon, these theories can serve as the important analytic tools. Both theoretical underpinnings and practical applications are equally emphasized. Prerequisite(s): MGT 2000
Credits: 3.0
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MGT 3090 International Management
Provides a framework for the analysis of international management problems. Defines the nature of the international, multi-national, and transnational company. Also examines the evolution of these types of enterprises, develops a model of a multinational firm in a dynamic global setting, and provides a bridge among the disciplines of economics, sociology, political science, and international management. Prerequisite(s): MGT 2000
Credits: 3.0
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MGT 3150 Human Resources Management
This course introduces students to the theories and practices of human capital management, specifically emphasizing the role human resources plays as a strategic partner in supporting, upholding, and delivering a business entities mission and values. Students will develop and apply the critical thinking skills necessary to integrate the myriad of moving parts involved in the human capital planning process by applying them to real life business situations designed to move a company forward. Some sections of this course are writing intensive. Prerequisite(s): MGT 2000
Credits: 3.0
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MGT 3200 Technology Applications
Focuses on microcomputers and their application as a decision support tool to business problem solving. Using a case study approach, the student utilize productivity software to fulfill the course requirements. Prerequisite(s): MGT 2000
Credits: 3.0
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MGT 3350 Social Media for Business
Business tools and applications of social media are explored, including setup and establishment of best practices, as well as supporting research and productivity applications. the implications and possible consequences of social media for business use will be examined. Strategies will be developed for informed and appropriate use of social media while considering important issues such as privacy, attention, ionformation overload, and online identity. The dynamics of group collaboration will be experienced through group class projects and the use of onlice collaboration tools. Prerequisite(s): MGT 2000
Credits: 3.0
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MGT 3360 Cross-Cultural Business Behavior in Spanish Speaking Latin America
This course focuses on the importance of cultural identity in cross-cultural business environments, with an emphasis on the relationship between cultural elements and business practices in Spanish-speaking countries in Latin America. This is a managerial-oriented course for stusents interested in developing skills essential for being an effective manager, either in Spanish-speaking countries in Latin america, or firms that do business with that region. The course will be taught in Spanish.
Credits: 3.0
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MGT 3400 Labor and Management
An examination of how labor and management are affected by various theories and institutional approaches and policies, such as public legislation on labor and management relations, collective bargaining, labor unions, inflation, and unemployment. Prerequisite(s): MGT 2000 AND ECON 2010 AND ECON 2020
Credits: 3.0
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MGT 3500 Ethics and Business
Introduces the student to the complexities of ethical behavior within the business environment. Building on a definition of business ethics, the course considers the role of social responsibility and reviews the historical development of ideas and concepts in the field. It provides a framework for understanding ethical decision making in business and the conflicts that occur (in terms of both domestic and global operations). The course emphasizes the development of an effective corporate ethics program. Prerequisite(s): MGT 2000
Credits: 1.5
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MGT 3550 Values,Ethics and Sustainability
This course is designed to increase awareness of values, ethics, beliefs and attitudes, and how they relate to issues of sustainability. It will pay special attention to the manner in which corporations can become agents of injustice and inequality in society, and conversely, how they can be transformed by individual actors and by institutional reforms. This course will also analyze sustainability at the institutional level, focusing on socially and structually imbedded nature of corporate actions. this is a Writing Intensive Course. Prerequisite(s): MGT 2000 and MKT 2100
Credits: 3.0
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MGT 3600 Innovation and Social Entrepreneurship
This course focuses on how the next generation of visionaries will shape our society and create strategies for solving society’s problems through mission-driven enterprises. Students will learn how to define social good, assess market forces, recognize opportunities, and create innovative solutions that blur societal, government and business objectives, and engage stakeholders in local, national or global communities. Students will explore innovation and social entrepreneurship as purposeful disciplines that impact quality of life, social and environmental objectives, employment, wealth creation, sustainability, and ethics. Student teams will have opportunity to develop a concept plan focused on solving a societal problem of their choice. This course will be of benefit to all majors.
Credits: 3.0
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MGT 3990 Selected Topics
A topic not covered by an existing course. Prerequisite(s): MGT 2000
Credits: 1.0 - 6.0
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MGT 4500 Small Business Management
A senior-level seminar course in the practical aspects of designing and operating a small business firm. Urban and inner-city minority group and poverty problems are highlighted where appropriate. Prerequisite(s): MGT 2000 AND MKT 2100
Credits: 3.0
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MGT 4510 Management Planning and Control
An in-depth analysis of the planning and control elements of any organization. Includes student development of plans and control systems, and development of student familiarity with some important planning and control techniques. Involves both systems and behavioral aspects of the work involved in planning and control activities. Prerequisite(s): FIN 3020 AND MGT 3060 AND ACCT 2110 AND MKT 2100 AND ECON 2020
Credits: 3.0
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MGT 4600 Business Strategy and Policy
This three credit course irepresents a case study approach to business decision-making that integrates functional and organizational disciplines. It examines a series of complex industrial situations in depth to determine, in each instance, the strategy and policies a firm should follow for its long-run survival. Some sections of this course are writing intensive. Prerequisite(s): ACCT 2120 AND ECON 2100 AND MGT 2000 AND MKT 2100 AND FIN 3200
Credits: 3.0
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MGT 4700 Introduction to Operations Research
The scientific methodology of operations research and logic is applied to the decision-making process. Introduces the concepts of linear and mathematical programming and inventory, and statistical decision theories. Prerequisite(s): MGT 2000 AND ECON 2100 AND MATH 1450
Credits: 3.0
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MGT 4770 Business Analytics
Businesses and individuals seek to maximize their utility functions and gain the most from their investments and efforts. To achieve this in the present day environment, the focus has gone beyond the management of “tangible” physical resources, goods and services and shifted towards tapping into the power of information and the “intangible”. Survival and profitability now are impacted by technology enabled data dynamics and information driven competitive advantages. Therefore understanding analytics, relevant technologies and information management is no longer optional for individuals or a businesses or any intelligent entity - today, and in the visible future.
‘Business Analytics’ is the industry phrase referring to technology driven solutions for managing ‘Big-Data’ and associated phenomena. The “Business Analytics” course provides an introductory overview for a broad range of topics associated with business analytics, big data phenomena and information management. It will address issues associated with the generation, storage and retrieval of pertinent data, and associated technologies. The course will discuss topics related to big data, how it is managed and the business relevance of big data analytics. A hands-on approach will be employed, with a fair balance between theory and actual usage of analytics tools. Theory will include both conceptual and managerial topics, as well as discussions on the mathematical models that drive analytics.. The hands-on approach will include the use of software tools such as R, R-studio and some amount of Excel / spreadsheet modeling based analytics. The course will connect technology driven business analytics concepts to real world business realities. All sections are Technology Intensive.
Prerequisite(s): MATH 1170 , and ECON 2100 OR MGT 2110
Credits: 3.0
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MGT 4800 Seminar Management
Explores, in depth, selected theoretical aspects of management theories and/or the major areas within management. Each student is expected to take a major area and prepare a paper that may include decision-making processes, strategy formulation, perceptions of environmental factors, managerial values, organizational crises, and other current management topics. Students have the opportunity to write a paper based on their studies of real-world situations. Prerequisite(s): MGT 3060 AND MGT 3090
Credits: 3.0
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MGT 4850 Management Practicum
A course of study designed especially for the supervised practical application of previously studied theory in a group setting. Done under the supervision of a faculty sponsor and coordinated with a business organization.
Credits: 3.0
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MGT 4852 Entrepreneurship Practicum
A course of study designed especially for the supervised practical application of previously studied entrepreneurship and small business management theory in a group setting. A consulting project for a profit or nonprofit organization is conducted under the supervision of a faculty member. Prerequisite(s): Minimum GPA of 3.0 (overall and major), senior status.
Credits: 3.0
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MGT 4860 Business Case Writing
This is a cross-disciplinary course that represents the second part of the 6-credit practicum Honors option, which must be conducted over two semesters and undertaken in the junior or senior year. It will be a core component of the Practicum Honors option. Honors Practicum credits will be applied towards major concentration requirements. The course involves writing an effective business case based on the consulting report or business plan completed in the practicum course. This course will be supervised by a mentor chosen from the Cotsakos College of Business Academically Qualified (AQ) faculty members who participated in the corresponding practicum course.
Credits: 3.0
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MGT 4900 Internship in Management
This is a cooperative education/field work experience. The mission of the internship program is to provide students with a valuable employment experience by working, uninterrupted for a significant amount of time, with a public, private, or governmental entity in the student’s geographical area. Prerequisite(s): MGT 2000
Credits: 3.0
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MGT 4901 Internship in Management (HUMAN RESOURCES MANAGEMENT)
This is a field work experience. The mission of the internship program is to provide students with a valuable employment experience by working for a significant amount of time, with a public, private, or governmental entity. Prerequisite(s): MGT 2000 , Junior Status, minimum 2.5 overall and Major GPA , Permission of Chair and Dean.
Credits: 3.0
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MGT 4902 Entrepreneurship Practicum
This is a field work experience. The mission of the internship program is to provide students with a valuable employment experience by working for a significant amount of time, with an entrepreneurial and/or small business.
Prerequisite(s): MGT 2000 , junior status, minimum 2.5 overall & in-major GPA, permission of Chair & Dean.
Credits: 3.0
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MGT 4990 Independent Study
A special project supervised by a faculty adviser.
Credits: 1.0 - 6.0
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MKT 2100 Principles of Marketing
Major emphasis on techniques for solving business problems, the development of marketing policies, and the sale of consumer and industrial products. Various marketing decisions are examined with respect to product planning, channels of distribution, promotion activity, selling and sales management, pricing, and international marketing.
Credits: 3.0
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MKT 3140 Marketing Communication Strategy
Covers the theory and management of the different elements of the integrated marketing communication mix of firms. Includes an introduction to the marketing communication process and an overview of customer psychology, including models of motivation, persuasion, learning, and behavior modification. Communication issues relating to brand building and corporate image building are discussed. Each of the elements of the promotion mix - advertising, sales promotion, public relations, personal selling, and direct marketing (including communications on the Web) - are examined. Prerequisite(s): MKT 2100
Credits: 3.0
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MKT 3160 Global Marketing
A comprehensive examination of the problems and opportunities of international marketing. Provides for in-depth study of international marketing decision requirements, including strategic planning, cultural analysis, and other related topics. Prerequisite(s): MKT 2100
Credits: 3.0
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MKT 3200 Consumer Behavior
The purpose of this course is to understand how people function as consumers. This knowledge is indispensable to marketing managers as they make decisions concerning what products to offer, how to distribute them, and how to communicate with consumers. The major focus of the course is on consumers’ psychological processes. In addition, the broader social, cultural, and sub-cultural influences on behavior are considered. Prerequisite(s): MKT 2100
Credits: 3.0
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MKT 3320 E-Marketing
The course entails the study of core web marketing concepts and digital marketing strategies. Topics include disruptive technologies, networks, social media, affiliate marketing, online advertising, search engine marketing, and web analytics. The course adopts a strategic marketing approach to help students understand the value creation principles underlying various new digital business models and monetization. Students implement live web projects in which they learn and apply concepts such as digital curation, content creation, keywords advertising, and search engine optimization. The course emphasizes ethical approaches to safeguarding and protecting the privacy of consumers and other stakeholders for the implementation of digital marketing initiatives. Prerequisite(s): MKT 2100 or equivalent
Credits: 3.0
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