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Course Criteria
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3.00 Credits
Applied Finite Mathematics is a course designed to help students develop the ability to apply arithmetic and algebra to business. Time is spent discovering and learning how to apply arithmetic and algebraic techniques to solve supply and demand, break-even, maxima-minima, etc. problems. Also the Gauss Jordan elimination method and the inverse matrix method for solving systems of linear equations are learned. A geometric method for solving linear programming problems is discovered. Also several topics of mathematics of finance, including compound interest and annuities, are discussed. Students are introduced to some of the basic concepts of probability, including the multiplication principle, permutations, combinations, sample spaces, events, empirical and theoretical probabilities, and expected value.
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0.00 - 3.00 Credits
Applications of algebra to business, matrices, linear programming, simplex method, and derivatives. Prerequisite: MTH 0320 or appropriate test scores on math placement exams.
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0.00 - 3.00 Credits
Differential and integral calculus with emphasis on business, economics, life sciences and social sciences applications. Prerequisite: MTH 1351 College Algebra or MTH 1331 Finite Math.
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0.00 - 3.00 Credits
Topics include permutations, combinations, equally likely outcomes, conditional probability, independence and dependence, mathematical expectations, and binomial distributions. Prerequisite: Two years of high school algebra or satisfactory test scores on the math placement exams.
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0.00 - 3.00 Credits
Treatment of the concept of functions and their graphs, with emphasis on polynomial, rational, exponential and logarithmic functions. The Fundamental Theory of Algebra with application to zeros of polynomials and solutions to equations and inequalities using matrix arithmetic. Partial fraction decomposition. Credit for MTH 1351 may not be earned by students who have previously received credit for MTH 1352 Precalculus, MTH 1332 Applied Calculus or MTH 2401 with a grade of "C" or better. Prerequisite: MTH 0320 or satisfactory scores on the mathematics placement exam.
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0.00 - 3.00 Credits
Introduction and treatment of the six trigonometric functions and their extensions to the real line. Applications to the solution of triangles and graphing of trigonometric functions. Proofs of trigonometric identities. Introduction to complex numbers, hyperbolic trig functions, and polar coordinates and curves. Sequences and series, especially arithmetic and geometrics an introduction to induction proofs and the Binomial Theorem. Prerequisite: MTH 1351 or adequate math placement scores.
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0.00 - 3.00 Credits
Provides students with the methods and logic necessary to perform elementary statistical analysis. Topics may include descriptive measures, probability, sampling, theory random variables, binomial and normal distributions, estimation and hypothesis testing, analysis of variance, regression and correlation, and nonparametric methods. Prerequisite: MTH 1323 Quantitative Literacy, MTH 1351 College Algebra or higher.
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0.00 - 3.00 Credits
Discrete mathematical structures will be studied emphasizing: Semi-groups, groups, sets, trees, graphs, logic, and combinatorics, all which have computer science applications in data structure, algorithm design and algorithmic analysis and testing. Cross-listed as CSC 2305.Prerequisite: CSC 1302 or MTH 2402 or permission of the instructor.
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0.00 Credits
Review of elementary analysis; concepts of limits, continuity, derivatives and integrals. Prerequisite: MTH 1352 Precalculus or math placement at a higher level.
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0.00 Credits
Extension of concepts of limits, continuity, derivatives and integrals to transcendental functions and to multivariate calculus. Prerequisite: MTH 2401.
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