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| DEGREE PLAN |
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8 MATH 1312 Calculus II (3-0) |
| Continuation of MATH 1411. Topics include special methods of integration and Applications; infinite series. |
| Prerequisite: MATH 1411. |
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| 8 MATH 1411 Calculus 1 (4-0) |
| Topics include limits, continuity, differentiation, and integration of Functions of a single variable. |
| Prerequisites: Four years of high school mathematics including trigonometry and analytic geometry and an |
| adequate score on a placement examination, or MATH 1508. |
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| 8 MATH 1508 Precalculus (5-0)
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| Topics include the algebraic manipulation and graphical representation of the following classes of real |
| functions: linear, polynomial, rational, exponential, logarithmic, and trigonometric. Inverse functions, triangle |
| trigonometry, complex numbers, and polar coordinates are included. Prerequisite: MATH 0311 or an |
| adequate score on a placement examination. |
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| 8 MATH 2300 Discrete Mathematics (3-0) |
| Continuation of MATH 1411. Topics in discrete mathematics including induction, recursion and recurrence |
| relations, sets and relations, combinatorics, and graph theory.Prerequisite: MATH 1411. |
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| 8 MATH 2313 Calculus III (3-0) |
| Continuation of MATH 1312. Topics include solid analytic geometry, partial differentiation, and multiple |
| integrals. Prerequisite: MATH 1312. |
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| 8 MATH 2326 Differential Equations (3-0) |
| An analytical, graphical, and numerical study of first order equations and system of equations, modeling, |
| bifurcations, linearization, and Laplace transforms. Prerequisite: MATH 1312. |
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| 8 MATH 3323 Matrix Algebra (3-0) |
| Systems of linear equations, matrices, determinants, eigenvalues and eigenvectors, diagonalization, |
| vector spaces, and linear transformations.Prerequisite: MATH 1312. |
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| 8 MATH 3335 Applied Analysis I (3-0) |
| Line and surface integrals, change of variable in multiple integrals, vector analysis, and an introduction |
| to complex variables. Prerequisite: MATH 2313. |
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| 8 MATH 4326 Linear Algebra (3-0) |
| Vector spaces, linear transformations and matrix representations, canonical forms, eigenvalues, invariant |
| subspaces, orthogonal and unitary transformations, and bilinear . and quadratic forms. Prerequisite: |
| MATH 3325. |
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| 8 MATH 4329 Numerical Analysis (3-0) |
| The course covers numerical algorithms for approximation of functions, quadrature, solution of ordinary |
| differential equations, solution of nonlinear equations, solution of linear systems of equations, computing |
| eigenvalues and eigenvectors. Many computer applications will be required. Prerequisite: MATH 3323 |
| or MATH 4326 with a grade of “C” or better, and a working knowledge of a high level programming language. |
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| 8 MATH 4336 Applied Analysis II (3-0) |
| Series solutions of differential equations. Fourier series and Fourier integrals. Bessel’s equation and |
| Bessel functions. Legendre’s equation and Legendre polynomials, the Sturm-Liouville problem and |
| eigenfunction expansions, and an introduction to partial differential equations. Prerequisite: MATH 2326 |
| or MATH 3326. |
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| 8 STAT 3330 Probability (3-0) |
| Theory and applications of probability models. Sample space, combinatorics, conditional probability, random |
| variables, discrete and continuous probability distributions, expectation, moment generating functions, |
| law of large numbers, and central limit theorem. Prerequisite: MATH 2313. |
| or MATH 3326. |
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| 8 STAT 4380 Statistics I (3-0) |
| A calculus –based development of statistical concepts and methods. Distribution theory, point and interval |
| estimation and hypothesis testing in parametric statistical models, chi-square goodness-of-fit and |
| contingency table analysis, simple linear regression analysis, and introduction to analysis of variance. |
| Prerequisite: STAT 3330 . |
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