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Course Criteria
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1.00 - 3.00 Credits
provides for the study of selected topics not included in the regular curriculum. It may be repeated for credit if the content changes substantially.
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3.00 Credits
surveys the growth and contributions of mathematics to knowledge and learning from ancient times to the mid 17th century. Development of mathematics is traced through study of mathematicians and their ideas. Prerequisites: MATH 181.
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3.00 Credits
surveys the growth and contributions of mathematics to knowledge and learning from the mid 17th century to present day. The development of mathematics is traced through study of mathematicians and their ideas. Prerequisite: MATH 181.
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3.00 Credits
begins with the foundations of logic and mathematical reasoning, deductive and inductive proof. The study of discrete structures may include set theory, functions, relations, number theory, matrices, combinatorics, algorithms, recursion, graph theory, trees, Boolean algebra, and computation models. Prerequisite: MATH 181.
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3.00 Credits
- is a calculus based coverage of set theoretic probability, random variables, discrete and continuous probability distributions, mathematical expectation, and multivariate probability distributions. Prerequisite: MATH 271.
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3.00 Credits
is a continuation of MATH 331. It covers sampling distributions, the central limit theorem, point and interval estimation, hypothesis testing, and goodness of fit. Nonparametric methods will also be addressed. Prerequisite: MATH 331.
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3.00 Credits
covers the foundations of Euclidean geometry based on axioms equivalent to those of Hilbert. The course includes an introduction to non Euclidean geometries. Prerequisite: MATH 181.
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3.00 Credits
presents the quantitative modeling techniques of linear programming, dynamic programming, queuing theory, PERT CPM, and simulation. Prerequisites: MATH 175 and MATH 182 or MATH 170.
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3.00 Credits
includes a study of inference, diagnostics, and remedial measures for both simple and multiple linear regression; polynomial regression; model building; single and two factor analysis of variance; and experimental design. Prerequisite: MATH 175 or MATH 331.
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3.00 Credits
includes a rigorous discussion of real numbers, infinite sets, point set topology, sequences of functions, continuity and Riemann integrals. Prerequisite: MATH 326 or MATH 351.
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