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Course Criteria
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3.00 Credits
This course develops a conceptual understanding of the role management science (applied mathematics) plays in business decision-making process. Topics include linear programming and computer solutions, transportation, assignment, and transshipment models, project scheduling, inventory models, waiting lines, simulation, and decision analysis. Prerequisite: MTH 1100 or satisfactory score on mathematics placement test.
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3.00 Credits
This course is an introduction to techniques and modes of reasoning of combinatorial problem solving. Basic concepts include graph theory, combinatorics, inclusion/exclusion principle and recurrence relations. Prerequisite: MTH 1100 or satisfactory score on mathematics placement test.
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3.00 Credits
A study of computer-related arithmetic and mathematical methods selected from a variety of topics including: number systems, number representation, Boolean algebra, hardware and software arithmetic, mathematical algorithms, error correcting codes, fuzzy sets, coding theory, computability and complexity, turing machines and other appropriate topics. Prerequisite: MTH 1100 or satisfactory score on mathematics placement test.
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4.00 Credits
This course covers plane analytic geometry, rate of change of a function, differentiation of algebraic functions, integration and applications. Prerequisite: MTH 1120 (C or better) or satisfactory score on mathematics placement test or MTH 1120 (C or better).
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4.00 Credits
This course covers equations of the second degree, differentiation and integration of transcendental functions, parametric equations, and applications. Prerequisite: MTH 2510 (C or better).
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4.00 Credits
This course covers infinite series, multi-variable calculus, solid analytic geometry, coordinate systems, review of integration, applications. Prerequisite: MTH 2520 (C or better).
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3.00 Credits
Introduction to probability theory and the fundamental concepts of statistical inference that includes a study of the common discrete and continuous probability distributions, sampling theory, estimation, testing hypotheses, method of least squares and analysis of variance. Prerequisite: MTH 2520 or permission of the division.
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3.00 Credits
This course covers derivation of differential equations, solutions of special types of differential equations of higher order, linear differential with constant coefficients, and integration in series. Prerequisite: MTH 2530 or permission of division.
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3.00 Credits
Linear functions limited to real, finite dimensional cases, linear transformations, vector spaces, matrix theory, quadratic forms. Prerequisites: MTH 2520 or MTH 2350 and MTH 2450.
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3.00 Credits
This course covers the numerical solution of an equation, a system of linear equations and of a differential equation; the numerical evaluation of a series of an integral; finite difference calculus; interpolation theory; and the simplex method of linear programming. Prerequisites: MTH 2530, 3060.
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