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Course Criteria
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3.00 Credits
2 cl hrs, 2 lab hrs, 3 cr This course introduces the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work. Topics include functions, relations, sets, simple proof techniques, Boolean algebra, propositional logic, elementary number theory, writing, analyzing and testing algorithms. Prerequisites: CST 2403/CS 403 and MAT 1375/MA 375
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4.00 Credits
4 cl hrs, 4 cr Topics include functions, limits, differentiation, tangent lines, Rolle's Theorem, the Mean Value Theorem, integration and applications. (An honors section, designated MAT 1475/MA 475H, may be offered as demand indicates. The same material will be covered as in MAT 1475/MA 475, but from a more advanced perspective.) Prerequisite: MAT 1375/MA 375 or MAT 1375/MA 375.1 or, for new students, a score of at least 65 on the Algebra part and of at least 50 on the College Algebra part and of at least 36 on the Trigonometry part of the CUNY Mathematics Placement Test
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1.00 Credits
2 lab hrs, 1 cr Through computer projects, students will apply and reinforce concepts and skills learned in MAT 1475/ MA 475. Corequisite: MAT 1475/MA 475 or MAT 1575/MA 575. Not open to students who have completed MAT 1575/MA 575 or MAT 2630/MA 630 or who are currently enrolled in MAT 2630/MA 630
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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
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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4.00 Credits
4 cl hrs, 4 cr A continuation of MAT 1475/MA 475. Topics include further techniques of integration, derivatives and integrals of transcendental functions, polar and parametric equations. 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 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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