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Course Criteria
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3.00 Credits
This course includes sets; functions, vector fields; partial derivatives; power series; theory of integration; line, surface, and multiple integrals. Prerequisite: MATH 2423.
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3.00 Credits
Studied are design of experiments, descriptive statistics, correlation and regression, probability, estimation and inference, test of hypothesis and significance, chance models, analysis of variance. This course is designed for students preparing for careers in business, the natural sciences and social sciences, or for teaching with a specialization in mathematics. Prerequisite: MATH 1310 or equivalent (MATH 1311 or 1321 recommended).
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3.00 Credits
This course includes theory, solutions and application of ordinary differential equations with introduction to partial differential equations. First order linear and non-linear equations, linear equations with constant coefficients, nth-order initial value problems, variation of parameters, infinite series solutions, systems of differential equations using matrices are also studied. Computer solutions are incorporated into classwork and homework. Prerequisite: MATH 2423. (3-2).
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3.00 Credits
This is selected topics in the field of mathematics. Topics will vary; course may be repeated when topics vary. Prerequisite: Junior standing.
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3.00 Credits
This is selected topics in the field of mathematics. Topics will vary; course may be repeated when topics vary. Prerequisite: Junior standing.
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3.00 Credits
This course is a study of the real number system, sequences, series, limits, derivatives and integrals of real-valued functions; set theory, logic and techniques of proof. Prerequisites: MATH 2423 and junior standing or consent of instructor.
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3.00 Credits
This is a study of the fundamentals of differentiation and integration theory of complex variables. Prerequisite: Credit for or concurrent enrollment in MATH 3324.
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3.00 Credits
Interpolation; approximations; numerical integration and differentiation; roots of polynomial equations; numerical linear algebra; solution of ordinary differential equations; computer applications when appropriate are studied in this course. Prerequisite: MATH 2423.
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3.00 Credits
This is a course in the mathematical theory of probability. Includes sample spaces, relative frequency, discrete and continuous random variables of one and higher dimensions, expected value, variance, correlation and regression, distributions, reliability theory, sums of random variables, sampling, estimation of parameters, and testing of hypothesis. Prerequisite: MATH 2423 or consent of instructor.
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3.00 Credits
This is selected topics in the field of mathematics. Topics will vary but may include number theory, real analysis, topology, algebra and logic. Course may be repeated when topics vary. Prerequisite: Junior standing or consent of instructor.
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