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Course Criteria
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3.00 Credits
2 cl hrs, 2 lab hrs, 3 cr This course continues the discussion of discrete mathematical structures and algorithms introduced in MAT 1440/MA 440. Topics in the second course include predicate logic, recurrence relations, graphs, trees, digital logic, computational complexity and elementary computability. Prerequisite: MAT 1440/MA 440; preor corequisite: CST 3503/CS 503
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4.00 Credits
4 cl hrs, 4 cr The study of discrete and continuous probability distributions, including the Binomial, Poisson, Hypergeometric, Exponential, Chi- Squared and Normal Distribution. Conditional distributions, covariance and correlation, confidence intervals, least square estimation, chi-square goodness of fit distribution and test for independence and randomness. Ends with an application to queuing. Prerequisite: MAT 1475/MA 475
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3.00 Credits
3 cl hrs, 3 cr An introductory course in Linear Algebra. Topics include vectors, vector spaces, systems of linear equations, linear transformations, properties of matrices, determinants, eigenvalues and eigenvectors. Pre- or corequisite: MAT 1575/MA 575
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3.00 Credits
3 cl hrs, 3 cr The study of financial derivatives, including options, futures and forward contracts and the mathematical models used to price them. Prerequisites: ECON 1101/EN 101, MAT 1475/MA 475; pre- or corequisites: ECON 2301/EN 301, MAT 2572/MA 572 or prerequisite of MAT 1372/MA 372
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3.00 Credits
3 cl hrs, 3 cr An introduction to solving mathematical problems on the computer, using a symbolic algebra program with applications drawn from science and engineering. Topics include roots of non-linear functions, interpolation, numerical differentiation and numerical integration. Prerequisites: CST 1101/CS 101, MAT 1575/MA 575, MAT 2580/MA 580
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4.00 Credits
4 cl hrs, 4 cr The study of multivariate normal distribution, the distribution of transformed vectors and order statistics. Includes generating functions, t- and F- distributions, central limit theorem, hypothesis testing, multiple regression, statistical inference for regression, diagnostic testing and design of experiments. Prerequisites: MAT 1572/MA 572, MAT 2580/MA 580
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4.00 Credits
4 cl hrs, 4 cr A continuation of MAT 1575/MA 575. Topics include improper integrals, series, vectors, solid analytic geometry, partial derivatives and multiple integrals. Prerequisite: MAT 1575/MA 575
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3.00 Credits
3 cl hrs, 3 cr An introduction to the analysis of the time complexity of sequential and parallel algorithms. Topics include: average complexity, lower bound theory, the greedy method, the divide and conquer paradigm, dynamic programming and probabilistic algorithms. Prerequisites: MAT 1440/MA 440, MAT 2580/MA 580, CST 3503/CS 503
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3.00 Credits
3 cl hrs, 3 cr Topics include methods of solving ordinary differential equations and applications to various problems. Prerequisite: MAT 1575/MA 575
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2.00 Credits
4 cl hrs, 2 cr Students work with faculty to develop and complete a semester project for presentation. Assignments include identifying and clearly stating a problem; writing a proposal on alternative ways to tackle the problem; estimating the time and materials needed to solve the problem; outlining a step-bystep procedure that can be used to solve the problem; writing the algorithms needed to solve the problem; proving the problem has been solved (or is impossible to solve); and testing the efficiency of the algorithm using inductive arguments. A final oral presentation will be required. Prerequisites: MAT 2540/MA 540, MAT 2580, CST 3603 and EMT 1250; corequisite: CET 3510/EM 510
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