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MATH

MATH 117: Algebra with Applications (MATH 117, 3 Credits)

Algebraic concepts and applications of set operations, factoring, rational expressions, sequences and series, quadratic equations, exponents, radicals and mathematical systems (linear equations & inequalities, functions, graph, polynomials). This course is a prerequisite for MATH 210 (Brief Calculus) and for MATH 211 (Mathematics for Business Analysis). Prerequisite for: ASTR 111, ECON 211, MATH 210, MATH 211, PHYS 101, and STAT 226.

MATH 170: Pre-Calculus (MATH 170, 3 Credits)

Treatment of real numbers, complex numbers, solving equations and inequalities, functions, polynomial functions, rational functions, trigonometry, trigonometric functions and their inverses, trigonometric identities, conic sections, exponential functions, logarithmic functions, sequences and series, binomial theorem, vectors, matrices, and limits. Prerequisite for: MATH 210.

MATH 210: Calculus I (MATH 210, 3 Credits)

Survey of the fundamental theories of Calculus. Students will learn the concepts of the derivative and the integral, see how they are connected by the Fundamental Theorem of Calculus, and apply them to solve real world applications. Part of the Business Major requirement at AUV,

MATH 211: Mathematics for Business Analysis (MATH 211, 3 Credits)

Survey of differential and integral calculus with applications, including derivatives, integrals and max-min problems. Univariate and bivariate differential calculus and optimization of algebraic functions that model business phenomena. Applications of linear programming and dynamic programming, forecasting techniques, and select quantitative techniques such as PERT are covered. For students of business and economics.

MATH 220: Calculus II (MATH 220, 3 Credits)

Techniques of integration, applications of the definite integral, improper integrals, sequences and series, power series. Taylor series and convergence, analytic geometry in calculus.

MATH 240: Discrete Mathematics (MATH 240, 3 Credits)

Logic, sets, functions, elementary number theory and combinatorics, recursive algorithms, and mathematical reasoning, including induction. Emphasizes connections to computer science.

MATH 374: Linear Algebra (MATH 374, 3 Credits)

Vectors in the plane and space, systems of linear equations, matrices, determinants, linear transformations, inner products, and eigenvalues and eigenvectors.

MATH 402: Differential Equations (MATH 402, 3 Credits)

First order equations, mathematical models, linear equations of the second order, Laplace transform, numerical methods, and nonlinear systems and phase plane analysis.