Required of all students whose placement data do not warrant enrollment in MAT 096 or above. Arithmetic and properties of real numbers, ratio and proportion, introduction to statistics and algebra. (Does not count toward any degree requirements.)

Required of all students whose placement data do not warrant enrollment in MAT 097 or above. Beginning algebra including linear and quadric equations, polynomials, rational. Expressions, radical and graphing. (Does not count toward any degree requirements.)

Linear equations and inequalities, systems of linear equations, polynomials and polynomial functions, quadratic equations, rational expressions, radicals, and rational exponents. (Does not count toward any degree requirements.)

This course develops algebraic skills through the use of data collection, hands-on manipulatives, and application of algebraic concepts with embedded study skills. Topics include the properties of equality; linear equalities and inequalities, with applications; graphing(linear, quadratic and exponential growth models), including data collection; rigorous quantitative and qualitative analysis of quadratic functions; and appropriate applications. This course serves as a prerequisite for studentswhose intended major requires them to complete MAT 115A. Students will attend a total of four hours of laboratory and one hour of lecture per week taught by mathematics faculty and mathematics instructional counselors CREDIT:THREE SEMESTER HOURS.

This course develops problem-solving and mathematical skills through a sequence of applied topics. Topics may include mathematical finance, probablilty and statistics, growth models for a variety of situations, and geometry. The prerequisite material required for each topic will be covered with the topic. Students will attend a total of four hours of lecture and laboratory per week taught by mathematics faculty and mathematics instructional counselors.

This course develops the algebraic skills necessary for further studies in matematics. topics include the algebra of functions; graphing techniques; quantitative and qualitative analysis of polynomial, rational, exponential and logarithmic functions, including limits at infinity and infinite limits; and appropriate applications. CREDIT: THREE SEMESTER HOURS

This course is designed to be an efficient combination of Intermediate Algebra and College Algebra. Topics include manipulation of monomials, polynomials, rational and radical expressions; solving equations and inequalities, including linear, rational, quadratic, absolute value, exponential and logarithmic; developing problem solving techniques; and introduction to functions, variation, the algebra of functions and their graphs; study of properties and graphs of polunomial, rational, exponential and logarithmic functions, including use of a graphing calculator and regression analysis; reading/interpreting graphs of function and applications. Students will attend a total of five hours of lecture and laboratory per week taught by mathematics instructional counselors. CREDIT:FOUR SEMESTER HOURS.

Review of polynomial, rational, exponential, and logarithmic functions, their graphs, and inverses; trigonometric identities, functions and their inverses; complex numbers; vectors; linear systems of equations, and polar coordinates.

This course covers matrices, Gauss/Jordan reductions, systems of linear equations, and introduction to differential and integral calculus. A variety of business applications are included.

Review of functions; limits of functions; derivatives and definite integrals of algebraic and transcendental functions; indeterminate forms; applications of the derivative and integral; the fundamental theorem of calculus.

Review of the fundamental theorem of calculus; properties of definite and indefinite integrals; applications of the definite integral; techniques of integration; improper integrals; definite integral approximation with error bounds; infinite sequences and series; Taylor polynomial approximation; parametric equations and polar coordinates.

This is a 3-credit course consisting of three hours of regular classroom contact taught by mathematics faulty and 2 hours of supplemental math studio contact guide by ACE instructional counsellors in coordination with the faculty responsible for the course. This course develops algebraic skills through the use of data collection, hands-on manipulatives, and application of algebraic concepts with embedded study skills. Topics include the properties of equality; linear equalities and inequalities, with applications; graphing (linear, quadratic, and exponential growth models), including data collection; rigorous quantitative and qualitative analysis of quadratic functions; and appropriate applications. This course serves as a prerequisite for students whose intended major requires them to complete MAT115/176. CREDIT: 3 SEMESTER HOURS.

This course develops problem-solving and mathematical skills through a sequence of applied topics. Topics include mathematical finance, probability and statistics, and linear and quadratic growth models. The beginning algebra required for each topic will be covered with the topic. CREDIT: 3 SEMESTER HOURS.

This course is designed to be an efficient combination of Intermediate Algebra and College Algebra. Topics include manipulation of monomials, polynomials, rational and radical expressions; solving equations and inequalities, including linear, rational, quadratic, absolute value, exponential logarithmic; developing problem solving techniques; and introduction to functions, variation, the algebra of functions and their graphs; study of properties and graphs of polynomial and rational functions, including use of a graphing calculator and regression analysis; reading/interpreting graphs of function and applications. CREDIT: 4 SEMESTER HOURS.

MAT200 is a 4-credit hour course consisting of three hours of regular classroom contact taught by Mathematics Faculty and a 1 hour career application lab. Topics will include sampling techniques, data measurement and classification, measures of central tendency, representation and communication of statistical information symbolically, visually and numerically, probability, evaluation and assessment of different statistical models such as normal distributions, linerar regression, confidence intervals and one sample lypothesis testing.

This is the first course in a two-semester sequence designed to meet the needs of elementary school teachers. Topics include sets, whole numbers, numeration systems, bases, elementary number theory, fractions, decimals, real numbers. Problem solving, applications and historical topics are discussed throughout the course.

Continuation of MAT 203. Topics include ratio and proportion, probability, statistics, geometry, and measurement.

Calculus of vector/valued functions, partial differentiation, multiple integrals, curl, surface integrals and Stokes’ theorem. Plane curves, polar coordinates, vectors, and three/dimensional analytic geometry.

The study of first/order equations, linear equations, the Laplace transform, Picard’s existence theorems, and systems of equations.

This course provides an orientation to higher mathematics. Topics include logic, mathematical proof, set theory, relations and functions, and an introduction to mathematical axiom systems.

Survey of history, cultural ramifications, methods, connections among various branches, and opportunities of mathematics. Required of all mathematics and applied mathematics majors

Coordinates, vectors, vector spaces, subspaces, Euclidean n/space, determinants, linear trans/ formations, linear transformations and matrices, bilinear and quadratic forms are studied.

This course is an introduction to modern operations research. Modeling, theory, and applications of linear programming, integer programming, scheduling, inventory, and network problems are studied.

Techniques of numerical approximation in analysis and algebra.

Measures of central tendency and dispersion, basic probability theory, Bayes Theorem, discrete and continuous univariate probability distributions, moments, random variables, sampling theory, estimation, hypothesis testing.

Multivariate distributions, joint and conditional distributions, moments, variance and covariance, functions of several random variables, correlation and regression, chi-square tests, analysis of variance.

This course includes study of axiom systems; Euclidean and Non-Euclidean Geometries; affine, spherical, projective and vector geometries.

this course is focused on the techniques and applications of the complex number system. Topics include Euler formula, analytic functions, and the method of residues.

Students earn course credit for undergraduate teaching experience including but not limited to (1) assisting students during laboratory sessions, (2) helping to set up laboratories or lecture/lab quizzes, or (3) conducting PLTL-Excel type workshops for students. Course may be repeated for credit.

Operations, permutations, groups, isomorphisms, factor groups, Sylow’s theorems, and applications are discussed.

Continuation of MAT 401. Rings, integral domains, quotient rings and ideals, extension fields, and vector spaces are studied

Real numbers and Euclidean n/space, continuous functions, differentiable functions of one and several variables, and the Riemann integral are studied.

Classical Lebesque integral, power series, curves, surfaces, integral theorem, divergence, and theorems of Green and Stokes are discussed. Some applications are examined.

Topological spaces, metric spaces, separation axioms, connectedness, compactness, continuity, product and quotient spaces.

Time evolution of various physical and/or biological systems and asymptotic behavior of orbits in space are studied with various mathematical techniques.

An integrated overview of the mathematics curriculum. Each student will be required to prepare and present independent investigation of topics of personal/professional interest. May be repeated once for credit.

This course is designed to provide a student with broad exposure to mathematical models and techniques to find solutions to governmental, industrial, and management problems. Optimization technique, probability and stochastic processes, physical and biological applications, hierarchies and priorities, computer-aided modeling and problem solving will be covered.

This course requires intensive examination of a mathematical topic chosen by a faculty member in Mathematics. This course will involve intensive reading, presentation, and discussion, as well as writing. May be repeated for credit.

An exploration of contemporary topics in business management. May be repeated for credit for different topics (maximum of 9 credit hours). Examples of topics include lean, green, and sigma, global competitiveness, sustainable business practice, team management, leadership or other current issues.