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Course Criteria
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3.00 Credits
Prerequisite(s): MA 111 or equivalent Includes such topics as elementary matrix algebra, simultaneous linear equations, Markov chains, game theory, graph theory, linear economic models, least square approximation and cryptology. Computer solutions are used for selected problems.
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3.00 Credits
Prerequisite(s): MA 111, MA 124, or equivalent An introduction to linear models as they apply to management, economic and business administration problems. The potentials and limitations of various models will be discussed. Emphasis will be placed on developing models from written descriptions and interpreting model solutions, typically computer-generated. Specific topics include linear, integer and goal programming.
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3.00 Credits
Prerequisite(s): ST 241 or GB 204 or equivalent An introduction to probabilistic models as they apply to management, economic and business administration problems. The potentials and limitations of various models will be discussed. Emphasis will be placed on developing models from written descriptions and interpreting model solutions, typically computer-generated. Specific topics include an introduction to basic probability, decision analysis, networks, queuing models and simulation.
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3.00 Credits
Prerequisite(s): Completion of any freshman MA sequence or instructor's permission An interdisciplinary course that introduces a number of environmental management issues frequently arising in business settings and for which quantitative models are important tools in their resolution. Problem areas include air pollution, surface and groundwater contamination, waste management, risk analysis and public health. Students investigate case studies using library and online research sources such as Infonet, Lexis and the internet. Computer modeling is based on spreadsheet programs and commercial packages. Course may include a number of field trips to business and government facilities where such models are used for technical and regulatory purposes.
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3.00 Credits
Prerequisite(s): MA 139 or departmental permission Includes such topics as Taylor's formula, sequences and series, Taylor's series, solid analytic geometry, vectors, multivariable calculus including partial derivatives, multiple integrals, line and surface integrals, and applications to business, economics and the social and physical sciences. Computer solutions are used for selected problems.
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3.00 Credits
Prerequisite(s): MA 139 or departmental permission Recognizes that many problems in economics, management, mathematics and the physical sciences involve the solution of related differential equations. Includes methods of solution for various classes of differential equations, the existence and nature of solutions, solutions of linear differential equations, and solutions of systems of linear differential equations. Numerical solution of equations using computer-related procedures. Focuses on applications to various subject areas.
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3.00 Credits
Prerequisite(s): MA 125 or MA 131 Includes such topics as matrices, determinants, Gaussian elimination, the theory of systems of linear equations, vector spaces, linear independence, inner products, Gram-Schmidt orthogonalization, linear transformations, eigen-values and eigen-vectors, quadratic forms, differential equations and numerical linear algebra. Applications of these topics and computer solutions of selected problems are an integral part of the course.
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3.00 Credits
Prerequisite(s): MA 111, MA 124 or equivalent Relates to problems of a probabilistic nature in business, management science, the social sciences, economics, mathematics and the physical sciences. Includes such topics as permutations, combinations, probability for discrete sample spaces, mutually exclusive and independent events, conditional probability, random drawings, the binomial probability distribution, Bayes' Theorem, random variables and their probability functions, mathematical expectation, Markov chains and decision-making. Simulation is used where appropriate.
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3.00 Credits
Prerequisite(s): MA141 or MA139 and enrollment in the Bentley College Honors Program This course will address a variety of real-life problems drawn from multiple disciplines, such as economics, finance, marketing, environmental sciences, criminology, and epidemiology. The relevant mathematics in each problem will be emphasized, including material drawnfrom differential equations and series/sequences. Written reports and oral presentations for each problem will be required. Field trips and guest speakers will be used where appropriate. Research from traditional and electronic sources will be expected.
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3.00 Credits
Prerequisite(s): MA 251 or ST 241 or GB 204/205 and MA 129 or MA 125 or MA 139 An introduction to advanced techniques used in statistical analysis of business data. Topics include multiple regression and correlation analysis, analysis of variance, contingency tables, and chi square testing for independence. Although the emphasis will be on the application of these techniques, the mathematical foundations will be discussed. Advanced statistical software is used, such as SAS or SPSS.
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