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Linear algebra is a source of many important ideas and techniques with broad applications in mathematics, science, and engineering. Students explore some of the main concepts and techniques in linear algebra as they learn about vectors, matrices, linear equations, and their applications. In addition...

In this course, students are exposed to a survey of mathematical techniques used to model real-world problems. Students learn about finite difference equations, curve fitting and least-squares regression, applications of calculus, applied matrix algebra, discrete-time dynamical systems, differential...

Theory and applications related to the following topics: vector-valued functions, partial differentiation, extremal problems, double integrals, triple integrals, and additional topics concerning functions of several variables.Prerequisite(s): A minimum "C-" grade in MATH 1271, 1273, 1274, or 1275...

An introduction to the theoretical foundations of calculus. Topics include the nature of mathematical proof, properties of real numbers, limits, sequences, series, continuity and differentiation.Prerequisite(s): A minimum "C+" grade in one of the following: MATH 1271, 1273, 1274, or 1275...

Computer lab activities to complement topics from linear algebra studies in MATH 2362. The labs are designed to promote better understanding of the ideas studied in MATH 2362, as well as to study applications of Linear Algebra Theory. Applications include Polynomial Fitting, Cryptography, Computer...

Topics include: curves and surfaces, vector fields, line and surface integrals, Divergence Theorem, Theorems of Green and Stokes, application of the aforementioned topics, and additional topics concerning functions of several variables.Prerequisite(s: A minimum "C-" grade in MATH 2371. Prerequisites...

First order equations, special techniques and applications; second order linear equations - linear independence and completeness, homogeneous and inhomogeneous equations, with applications; Laplace transform techniques; first order systems including matrix methods; phase plane and stability analysis...

In this course, students learn some current techniques used in scientific computing. Topics include: solving linear and nonlinear equations, interpolation, integration, and numerical solutions of ordinary differential equations. Extensive use is made of computer programs, such as MATLAB, MAPLE, and...

An introduction to the mathematics of finance and investment including simple interest and discount, compound interest, simple and general annuities, amortization and sinking funds, depreciation and valuation of investments. computer applications.Students will receive credit for only one of MATH...

Intended for students who require additional practice in pre-calculus algebra and linear algebra to succeed in data analytics programs. Topics include linear equations, systems of equations, matrix operations, quadratic forms, power functions, square root functions, exponential functions...