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  • 3.00 Credits

    College Trigonometry is the second course for students who plan to continue on toward the study of Calculus. Topics include trigonometric functions, graphing techniques, right triangle applications, trigonometric identities, inverse functions, oblique triangles, two-dimensional vectors, and complex numbers in trigonometric form. Prerequisite: C- or better in MAT 121 or math placement test
  • 3.00 Credits

    This course examines the general elements and principles of statistics used in the fields of education, consumerism, quality control, allied health, physical sciences, & social sciences. Course is broken into two parts; descriptive statistics and inferential statistics. Topics include: methods of summarizing and presenting data; measures of center, spread, and position; probability; binomial probability distribution; normal probability distribution; t-test; chisquare test; confidence intervals, hypothesis testing; and linear regression. Prerequisite: completion of MAT 102 or higher OR placement on math assessment of MAT 113 or higher
  • 4.00 Credits

    A course designed to review advanced techniques in algebra and trigonometry that are necessary for the study of calculus. The major areas of study are: algebra, manipulations, analytic geometry, exponentials, trigonometry, transforms and problem solving. Former title Essentials for Calculus. MAT 131 is not open to students who have completed MAT 121 or MAT 122. Prerequisite: math placement test
  • 3.00 Credits

    Special Topics Course¿Mathematical Reasoning and Proof is designed for students who plan to continue their studies in mathematics, mathematics education or science. This course will foster the ability to read and write mathematically correct proofs. Using some of the classic proofs and mathematical patterns, the course familiarizes the student with many of the foundational topics of mathematics as well as some of the current areas of research. The course includes Euclidean Geometry, Mathematical Induction, Strict Arithmetic Proof, and Elementary Number Theory Proofs, among others. The course also explores the develpments in mathematics that gave rise to Computer Science. Prerequisite: C- or better in MAT 131, MAT 122 or college placement in MAT 205
  • 3.00 Credits

    Discrete mathematics deals with the analysis of discontinuous (separate, distinct, unconnected) phenomena. This branch of mathematics provides much of the underlying methodology for the use of computers. This branch of mathematics has applications in the fields of engineering, physical sciences, economics, behavioral sciences, health sciences, and computer science. Topics covered include: Sets, sequences, functions, prime numbers, elementary logic (proofs), relations (Matrices), induction and recursion, counting and an introduction to graphs and trees. Prerequisite: C- or better in MAT 121
  • 4.00 Credits

    Analytic geometry topics are introduced as needed to carry out the orderly development of the calculus. Topics include algebraic functions and transformations, trigonometric functions and identities, limits, continuity, derivatives, implicit differentiation, related rate problems, Rolles' Theorem and Mean Value Theorem, curve sketching (relative min/max, concavity, points of inflection, limits at infinity, horizontal asymptotes), applications of differentiation, differentials, antidifferentiation, the definite integral, sigma notation, and Fundamental Theorem of Calculus. Prerequisite: C- or better in MAT 122, or MAT 131 or math placement test
  • 4.00 Credits

    A continuation of the calculus which builds on the basic concepts of derivatives and integration to include calculus of exponentials, logarithms, trigonometric functions, inverse trigonometric functions and hyperbolics, the area of a region between two curves, solids of revolution, application problems, integration, Trapezoidal rule, Simpson's Rule, L'Hopital's Rule, Taylor and Maclaurin polynomials, sequences and series, and power series,. Prerequisite: C- or better in MAT 205
  • 4.00 Credits

    Covers three areas of discourse: vector analysis, partial differentiation and multiple integration. The study of vectors includes conic sections, analysis of vectors in two and three space as well as their development as vector functions. Partial differentiation includes such topics as directional derivatives, gradients, tangent planes, surface extremes, and exact differentials. Multiple integration is used for volumes, surface area, moments, Green's theorem and line integrals. Prerequisite: C- or better in MAT 206
  • 3.00 Credits

    Designed primarily for students planning to specialize in mathematics, computer science, or engineering. Topics include: vectors in R2 and R3 systems of linear equations, determinants and matrices, vector spaces, linear independence and basis, linear transformations, eigenvalues and eigenvectors, and diagonalizations. Prerequisite: C- or better in MAT 205
  • 4.00 Credits

    The following differential equations topics are covered: equations of first order, linear equations of the second order, operators, successive approximations, interpolation, numerical integration, and Partial Differential Equations. Series topics include Fourier's Series, Gamma and Bessel Functions, and Laplace Transforms. Prerequisite: C- or better in MAT 207
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