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Course Criteria
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3.00 Credits
This course is the study of how purchasing impacts materials management, supply chain, transportation, and global logistics processes. The student will understand methods of electronic sourcing as well as negotiating and pricing principles.
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3.00 Credits
This course is a study of production processes, including process selection, facility layout, quality, waiting line analysis, Just in Time (JIT), and Lean operations.
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3.00 Credits
This course is a study of supply chain management processes and how they integrate. Systems Applications and Products (SAP) is used to reinforce the concepts of scheduling, planning, and forecasting.
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5.00 Credits
This course includes the following topics in an algebraic context: Mathematical methods, techniques, ways of thinking and problem solving.
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3.00 Credits
This course includes the study of rational numbers and their applications, operations with algebraic expressions, linear equations and applications, linear inequalities, graphs of linear equations, operations with exponents and polynomials, and factoring.
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3.00 Credits
This course includes the study of linear systems and applications; quadratic expressions, equations, functions and graphs; and rational and radical expressions and functions.
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3.00 Credits
This course is designed to develop quantitative reasoning and critical thinking skills. Topics include equations and inequalities, exponential equations, applications involving proportions and conversion of units, logic and computers, probability and statistics, financial mathematics, and additional applications selected to address areas of contemporary interest.
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3.00 Credits
This course includes the following topics: polynomial, rational, logarithmic, and exponential functions; inequalities; systems of equations and inequalities; matrices; determinants; and solutions of higher degree polynomials.
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3.00 Credits
This course includes the following topics: trigonometric functions; trigonometric identities; solution of right and oblique triangles; solution of trigonometric equations; polar coordinates; complex numbers, including DeMoivre's Theorem; vectors; conic sections; and parametric equations. (Prerequisite: College Algebra)
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3.00 Credits
This course includes the following topics: introductory probability and statistics, including organization of data, sample space concepts, random variables, counting problems, binomial and normal distributions, central limit theorem, confidence intervals, and test hypothesis for large and small samples; types I and II errors; linear regression; and correlation.
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