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Course Criteria
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3.00 Credits
3 credits. Prerequisite: T&L 325. Corequisites: T&L 345, 486. Various teaching methods, strategies and materials used in teaching middle and secondary school mathematics. National and State Standards for teaching and learning mathematics. Curriculum development. Preparation/evaluation of tests, units, and materials of instruciton. Recent developments in mathematics curriculum and in instructional alternatives. Issues in teaching and learning of school mathematics. F
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3.00 Credits
3 credits. Prerequisite: Math 265. Sets, sample spaces, discrete probability, distribution functions, density functions, characteristic functions, study of normal, Poisson, binomial and other distributions with applications. S/2
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1.00 - 3.00 Credits
1-3 credits. Prerequisite: permission of the Mathematics Department. May be repeated to maximum of six credits. On Demand. 408.?Combinatorics. 3 credits. Prerequisites: Math 208 and 166. Introduction to the techniques and reasoning needed in combinatorial problem-solving. The course may include topics related to combinatorics, such as graph theory. S
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3.00 Credits
3 credits. Prerequisite: Math 208 or 330. Metric and synthetic approach to Euclidean geometry. The usual topics in elementary geometry treated in a mathematically logical way. Topics include congruence, inequalities, parallelism, similarity, area, solid geometry and the circle. F
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3.00 Credits
3 credits. Prerequisite: Math 266. Basic types of ordinary differential equations. Existence and uniqueness of solutions. F/2
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1.00 - 3.00 Credits
1-3 credits. Prerequisite: Math 265 and consent of instructor. An introduction to selected areas in applied mathematics chosen from a variety of topics including: Applied algebra, difference equations, linear programming, modeling and simulation, operations research, optimization, partial differential equations and computers in mathematics. Topics to be considered will be illustrated with examples and practical applications. May be repeated for credit with consent of instructor up to a maximum of six credits. On demand.
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1.00 - 3.00 Credits
1-3 credits. Prerequisites: Math 265 and 321 or consent of instructor. An introduction to a variety of topics in statistics including: Linear models in categorical analysis, Bayesian methods, decision theory, ridge regression, Non parametric techniques, stochastic games and models. The number of topics to be considered during a semester will be limited to permit greater depth of coverage and sufficient practical illustrations. May be repeated for credit with consent of instructor up to six credits. On demand.
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3.00 Credits
3 credits each. Prerequisite: For 421, Math 265; for 422, Math 421. Discrete and continuous random variables, expectation, moments, moment generating functions, properties of special distributions, introduction to hypothesis testing, sampling distributions, Central Limit Theorem, curve of regression, correlation, empirical regression by least squares, maximum likelihood estimation, Neyman-Pearson lemma, likelihood ratio test, power function, chi-square tests, change of variable, "t" and "F" tests, one and two-way ANOVA, nonparametric methods. F
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3.00 Credits
3 credits. Prerequisite: Math 208. This course develops the math behind elementary symmetric-key cryptoschemes and a variety of public-key schemes. Modern block ciphers may be discussed. F/2
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3.00 Credits
3 credits each. Prerequisite: for 431, Math 330 or consent of instructor; For 432, Math 431. Real number system, functions, sequences, limits, continuity, differentiation, integration, partial differentiation, infinite series, power series and vector analysis. F,S
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