This is a course in algebra designed to meet the intermediate algebra competencies for an AA or AS degree and to expose students to concepts and applications faced in statistics and liberal arts.

This is a course in algebra for students intending to continue on towards Calculus. Emphasis is on applications of mathematics to science and logical problems. Students will learn to analyze and interpret problems while developing inductive and deductive logic skills to apply to verbal and quantitative problems. The topics include simplifying rational expressions, solving rational equations, solving problems and applications involving systems of three variables, graphing systems of inequalities in two variables, simplifying expressions involving positive, negative, and rational exponents, performing mathematical operations on radical expressions and solving radical equations, solving quadratic equations and their applications using multiple methods, graphing and evaluating elementary functions, using definitions, domain and range, algebra and composition of functions on related applications, solving elementary exponential and logarithmic equations and related applications.

This corequisite support course is to be taken concurrently with MATH R105, Introductory Statistics. Emphasis is placed on foundational skills which are necessary for a student to successfully complete MATH R105. This course offers support for Introductory Statistics topics along with study skills development.

This corequisite support course is to be taken concurrently with MATH R101, Mathematics for the Liberal Arts Major, OR MATH R115, College Algebra. Emphasis is placed on foundational skills which are necessary for a student to successfully complete MATH R101 or MATH R115. This course offers support for College Algebra topics along with study skills development.

This corequisite support course is to be taken concurrently with MATH R106, Business Calculus. Emphasis is placed on foundational skills which are necessary for a student to successfully complete MATH R106. This course offers support for Business Calculus topics along with study skills development.

This course explores simple, effective and efficient techniques to enhance math learning. The techniques will be applied while preparing students for MATH R014 or MATH R032. Course is offered Pass/No Pass (P/NP) only. Course is offered Pass/No Pass (P/NP) only.

This is an advanced course in algebra for majors in the liberal arts (English, Art, History, Philosophy, Foreign Languages, Music, Theatre, Dance, Film). This course focuses on how to solve and apply equations that include rational, linear, absolute value, polynomial, exponential, and logarithmic equations; solve linear and nonlinear systems of equations and inequalities; apply functions and other algebraic techniques to model real world applications. This course includes applications to many areas within liberal arts fields.

This course is designed for candidates pursuing an elementary teaching credential. It focuses on the development of quantitative reasoning skills through in-depth, integrated explorations of topics in mathematics, including: the real number system and subsystems, patterns and sequences, basic set theory, logic, and mathematical induction. Emphasis is on comprehension and analysis of mathematical concepts and applications of logical reasoning.

This course covers descriptive and inferential statistics for students of social sciences, science, education, business, and engineering. Included are discussions of graphing and interpreting graphs, measures of the center and variation, probability, normal curves, binomial tests, hypothesis testing, correlation and regression, chi-square tests, t-tests, and analysis of variance. This course uses technology to analyze data sets. Credit will not be awarded for both the honors and regular versions of a course. Credit will be awarded only for the first course completed with a grade of "C" or better or "P".

This course covers descriptive and inferential statistics for students of social sciences, science, education, business, and engineering. Included are discussions of graphing and interpreting graphs, measures of the center and variation, probability, normal curves, binomial tests, hypothesis testing, correlation and regression, chi-square tests, t-tests, and analysis of variance. This course uses technology to analyze data sets. Honors work challenges students to be more analytical and creative through expanded assignments, real-world applications, and enrichment opportunities. Credit will not be awarded for both the honors and regular versions of a course. Credit will be awarded only for the first course completed with a grade of "C" or better or “P”.

This course presents a study of the calculus techniques with an emphasis on the application of concepts to business and management related problems. Further, the course addresses the application of derivatives and integrals of functions including polynomials, rational, exponential and logarithmic functions.

An advanced course in algebra, this course focuses on the study of functions and their graphs. Students will analyze and graph functions (absolute value, radical, polynomial, rational, exponential, and logarithmic). Topics also include inequalities, conic sections, systems of equations and inequalities, matrices, sequences, and series. This course includes applications to many areas including business and sciences.

This course is designed to give Calculus-bound students a solid foundation in trigonometric functions. Emphasis will be placed on trigonometric functions, their inverses and their graphs, identities and proofs related to trigonometric expressions, trigonometric equations, solving right triangles, solving triangles using the Law of Cosines and the Law of Sines, polar coordinates, and introduction to vectors.

This course gives the calculus-bound student a solid foundation in precalculus algebra and analytic trigonometry, with emphasis on function concepts and graphing. Topics include equations and inequalities, analytic geometry of lines and conic sections, properties of functions, techniques of graphing, elementary functions (linear, quadratic, rational, exponential, logarithmic, and trigonometric) and inverse functions, trigonometric identities and equations, polar graphing, optimization applications, systems of equations, theory of equations, mathematical induction, binomial theorem, sequences, and series.

This is a first course in differential and integral calculus of a single variable. Topics include functions; limits and continuity; techniques and applications of differentiation and integration; and the Fundamental Theorem of Calculus.

This is the second course in the differential and integral calculus of a single variable series. Topics include integration; techniques of integration; infinite sequences and series; polar and parametric equations; and applications of integration.

As the third semester course in the calculus sequence, this course introduces the calculus of several variables and solid analytic geometry. It includes vector valued functions, calculus of functions of more than one variable, partial derivatives, multiple integration, Green’s Theorem, Stoke’s Theorem, and the divergence theorem.

This course develops the techniques and theory needed to solve and classify systems of linear equations. Solution techniques include row operations, Gaussian elimination, and matrix algebra. Students will investigate the properties of vectors in two and three dimensions, leading to the notion of an abstract vector space. Vector space and matrix theory are presented including topics such as inner products, norms, orthogonality, eigenvalues, eigenspaces, and linear transformations. Selected applications of linear algebra are included.

The course is an introduction to ordinary differential equations including both quantitative and qualitative methods as well as applications from a variety of disciplines. The course introduces the theoretical aspects of differential equations, including establishing when solution(s) exist, and techniques for obtaining solutions, including series solutions, and singular points, Laplace transforms and linear systems.

This course utilizes the MATLAB environment to provide students with a working knowledge of computer-based problem-solving methods relevant to science and engineering. It introduces the fundamentals of procedural and object-oriented programming, numerical analysis, and data structures. Examples and assignments in the course are drawn from practical applications in engineering, physics, and mathematics.

This transfer-level course is designed for students interested in furthering their knowledge on an independent study basis. Topics will vary, depending on the individually designed plan of study and project(s), including a weekly consultation with the instructor.