This course is a refresher in the arithmetic topics essential for studying algebra. Successful students will demonstrate proficiency in operations with whole numbers, fractions, decimal numbers, and percents. Note: Courses that begin with a zero are developmental in nature. Credit earned in developmental courses will not apply to the overall program hours.

1 Credit Hour

Course provides a brief review of pre-algebra concepts including: operations with rational numbers; translating, evaluating, and simplifying expressions; translating, simplifying, and solving various types of first degree equations, inequalities and applied problems, including geometry, percent proportions, and other formulas; an introduction to coordinate planes, graphing and writing equations of straight lines. Traditional testing (proctored or in Testing Center) is used in all online sections. Note: Courses that begin with a zero are developmental in nature. Credit earned in developmental courses will not apply to the overall program hours.

3 Credit Hours

Factoring; operations with polynomials and rational expressions; solving second-degree equations by factoring; solving equations with rational expressions. Traditional testing (proctored or in Testing Center) is used in all online sections. Note: Courses that begin with a zero are developmental in nature. Credit earned in developmental courses will not apply to the overall program hours.

3 Credit Hours

Systems of linear equations in two variables and applied problems; two-variable inequalities and systems of inequalities and applied problems; operations with rational exponents, radical expressions and complex numbers; relations and functions; simplifying radical expressions; solving equations with rational exponents, equations with radical expressions, quadratic equations by factoring, completing the square, and the quadratic formula, equations quadratic in form; quadratic functions. Traditional testing (proctored or in Testing Center) is used in all online sections. Note: Courses that begin with a zero are developmental in nature. Credit earned in developmental courses will not apply to the overall program hours.

3 Credit Hours

This course is taken in conjunction with MAT 1445, Quantitative Reasoning. It reviews prerequisite concepts for the topics in MAT 1445. Each prerequisite concept is covered in this course just prior to being needed in MAT 1445. Topics covered include: numerical reasoning, proportional reasoning, algebraic reasoning and modeling with linear functions. Three lab hours per week. Note: Courses that begin with a zero are developmental in nature. Credit earned in developmental courses will not apply to the overall program hours.

1 Credit Hour

This course is taken in conjunction with MAT 1445, Quantitative Reasoning. It reviews prerequisite concepts for the topics in MAT 1445. Each prerequisite concept is covered in this course just prior to being needed in MAT 1445. Topics covered include: numerical reasoning, proportional reasoning, algebraic reasoning and modeling with linear functions. Two lab hours per week. Note: Courses that begin with a zero are developmental in nature. Credit earned in developmental courses will not apply to the overall program hours.

1 Credit Hour

This course is taken in conjunction with MAT 1450, Introductory Statistics. This course reviews prerequisite concepts for the topics in MAT 1450. Each prerequisite concept is covered in this course just prior to being needed in MAT 1450. Topics covered include: use of summation notation, solving equations and inequalities with square roots, and extracting information from tables and graphs. Two lab hours per week. Note: Courses that begin with a zero are developmental in nature. Credit earned in developmental courses will not apply to the overall program hours.

1 Credit Hour

This course is taken in conjunction with MAT 1460, Mathematics for Business Analysis. This course reviews prerequisite concepts for the topics in MAT 1460. Each prerequisite concept is covered in this course prior to being needed in MAT 1460. Topics covered include: operations on polynomials, radical and rational functions, solving quadratic/rational equations/applications and graphing basic functions. Three lab hours per week. Note: Courses that begin with a zero are developmental in nature. Credit earned in developmental courses will not apply to the overall program hours.

1 Credit Hour

This course is taken in conjunction with MAT 1470, College Algebra. This course reviews prerequisite concepts for the topics in MAT 1470. Each prerequisite concept is covered in this course just prior to being needed in MAT 1470. Topics covered include: operations on polynomial, radical and rational functions, solving quadratic/rational equations/applications and graphing basic functions. Three lab hours per week. Note: Courses that begin with a zero are developmental in nature. Credit earned in developmental courses will not apply to the overall program hours.

1 Credit Hour

The topics contained in MAT 0100, MAT 0200, and MAT 0300 will be delivered in a self-paced format using technology, allowing students to begin at the appropriate level based on course placement and allowing them to move through as many topics, and courses, as they can within the time limits of the semester. Topics include: a brief review of pre-algebra concepts, solving and graphing linear equations and inequalities, factoring, simplifying polynomial and rational expressions, solving and graphing systems of linear equations and inequalities in two variables, solving and graphing quadratic equations, complex numbers, and simplifying exponential and radical expressions. At the end of the semester, based on proficiency of the topics in one or more courses, students will earn a grade of "S" for satisfactory progress and gain permission to enter subsequent courses in their plan of study. Note: Courses that begin with a zero are developmental in nature. Credit earned in developmental courses will not apply to the overall program hours. Six lab hours per week.

3 Credit Hours

Use ratio and proportion to solve applications in technology; convert within and between metric and customary systems of measurement; read and interpret measurement tools and gauges; simplify algebraic expressions; solve linear equations; apply the geometry of lines, angles, and circles to technology applications.

3 Credit Hours

Mathematics of finance, mathematics of trade, payroll, taxes, insurance, elementary statistics. Traditional testing (proctored or in Testing Center) is used in all online sections.

3 Credit Hours

This course is specifically for Culinary Arts and Baking & Pastry Arts majors. The math requirement for this course will form the foundations needed for costing of food and beverage, recipe conversion, bakers scaling (of liquid verses dry weights), edible product yield percentages, and menu cost cards. Students will be expected to demonstrate proficiency in converting improper as well as mixed number fractions, (add, subtract, multiply, and divide) decimals, solve complicated word problems and more.

3 Credit Hours

Solve health science applications; convert within and between metric, household and apothecary systems; read and interpret health science labels and graphs; calculate and apply statistical concepts; solve problems involving parenteral, pediatric and/or intravenous administration and dosage calculations. Traditional testing (proctored or in Testing Center) is used in all online sections.

3 Credit Hours

This is a context-centered course intended for majors in Construction Management Technology, Architectural Technology, and Civil Engineering Technology. It contains collaborative labs which apply the mathematical methods to relevant applications. Students will apply properties of shapes in 2-dimensional and 3-dimensional geometry; use dimensional analysis to convert between systems of units; use scientific notation; apply vector analysis and basic trigonometry to find indirect measurements; use and solve linear and quadratic functions and equations; and use systems of linear equations in applications and find their solutions. Four classroom, two lab hours per week.

5 Credit Hours

The course will explore various applications of mathematics in the social, finance, health and environmental fields with emphasis on developing informational, technological, logical, and visual reasoning skills. Topics from numeracy, probability and statistics, finance, mathematical modeling with linear, statistical, and exponential functions, and other areas of mathematics will be covered. Note: Students who have not completed the required pre-requisite courses listed, but have successfully completed MAT 0100 with a grade of "C" or better, can register for MAT 1445 together with the co-requisite course MAT 0445, Quantitative Reasoning Booster. Traditional testing (proctored or in Testing Center) is used in all online sections.

3 Credit Hours

An introduction to the fundamental ideas of statistics, including statistical methods to gather, analyze and present data; fundamentals of probability; statistical distributions, sampling distributions, confidence intervals, hypothesis testing, Chi-square tests, regression and correlation. Three classroom, two lab hours per week. Note: Students who have not completed the required pre-requisite courses listed, but have successfully completed MAT 0100 or MAT 1130 with a grade of "C" or better, can register for MAT 1450 together with the co-requisite course MAT 0450, Introductory Statistics Booster. Traditional testing (proctored or in Testing Center) is used in all online sections.

4 Credit Hours

Applications of mathematics and functions to business analysis. Linear applications, functions, financial mathematics, systems, matrices, inequalities. Traditional testing (proctored or in Testing Center) is used in all online sections. Note: Students who have not completed the required prerequisite courses listed, but have successfully completed MAT 0200 with a grade of C or better, can register for MAT 1460 together with the co-requisite course MAT 0460, Booster for Mathematics for Business Analysis.

3 Credit Hours

Polynomial, radical, rational, exponential and logarithmic functions and their graphs; roots of polynomial functions, rational and polynomial inequalities; systems of linear and nonlinear equations; matrices; and applications. Traditional testing (proctored or in Testing Center) is used in all online sections. Note: Students who have not completed the required pre-requisite courses listed, but have successfully completed MAT 0200 with a grade of "C" or better, can register for MAT 1470 together with the co-requisite course MAT 0470, College Algebra Booster.

3 Credit Hours

Introduction to the basic mathematical concepts of arithmetic and problem solving as appropriate for early- and middle-childhood teachers. An inquiry- and activity-based approach is used to explore problem solving, sets, linear and quadratic functions, systems of equations, mathematical modeling, numeration systems, whole numbers, basic number theory, integers, rational numbers and real numbers.

4 Credit Hours

Introduction to the concepts of probability, statistics and geometry as appropriate for early- and middle-childhood teachers. An inquiry- and activity-based approach is used to explore probability concepts, descriptive statistics and basic inferential statistics, 2- and 3-dimensional geometric concepts, geometric constructions, congruence, similarity, measurement, computing area and volume, symmetry and transformations of two-dimensional figures.

5 Credit Hours

Trigonometric functions of angles, solving right and oblique triangles, identities, trigonometric and inverse trigonometric equations, vectors, radian measure, graphs of trigonometric functions and inverse trigonometric functions, conic sections, sequences, and series. Two classroom, two lab hours per week. Traditional testing (proctored or in Testing Center) is used in all online sections.

3 Credit Hours

Polynomial, radical, rational, exponential and logarithmic functions and their graphs, roots of polynomial functions, rational and polynomial inequalities, conic sections, systems of linear equations; sequences and series. Trigonometric functions of angles, solving right and oblique triangles, trigonometric identities and equations, vectors, radian measure, graphs of trigonometric functions, inverse trigonometric functions and applications. Traditional testing (proctored or in Testing Center) is used in all online sections.

5 Credit Hours

Functions and graphs, limits, continuity, derivatives, techniques of differentiation, applied problems in business and economics, exponential and logarithmic functions, techniques of integration, applications of integration, functions of two variables, partial derivatives and applications. Traditional testing (proctored or in Testing Center) is used in all online sections.

5 Credit Hours

Statistical techniques and methodology. Graphical and tabular presentation of data, probability, parameters, statistical distributions, sampling, confidence intervals, tests of hypotheses, regression, and correlation. Three classroom, two lab hours per week. Traditional testing (proctored or in Testing Center) is used in all online sections.

4 Credit Hours

Statistical inferences, including estimation, confidence intervals, and tests of hypotheses for means, standard deviations and proportions; analysis of variance; regression analysis; chi-square; business applications. Students will develop a basic competency using a computer spreadsheet to perform statistical calculations. Two classroom, two lab hours per week. Traditional testing (proctored or in Testing Center) is used in all online sections.

3 Credit Hours

The four pillars of machine learning are regression, dimensionality reduction, density estimation, and classification. This course aims to establish the mathematical foundation upon which to build these pillars by covering carefully selected topics in linear algebra, analytic geometry, vector calculus, probability and distributions, and optimization.

5 Credit Hours

This course uses calculus as a tool for modeling applications in the life sciences. Limits, derivatives, integrals, and differential equations are introduced and applied in this context. Emphasis is placed on qualitative analysis and interpretation.

4 Credit Hours

The first course of a three-semester sequence of courses. Topics include limits and continuity, the derivative and its applications including related rates and optimization, L'Hopital's rule, antiderivatives, the Fundamental Theorem of Calculus, integration by substitution. Traditional testing (proctored or in Testing Center) is used in all online sections.

5 Credit Hours

The second course of a three-semester sequence of courses. Techniques of integration, applications of integration, numerical integration, improper integrals, infinite sequences and series, power series, parametric equations, polar coordinates, conic sections.

5 Credit Hours

Vectors in the plane and space, dot and cross product of two vectors. Lines, planes and surfaces in space, vector-valued functions, arc length and curvature. Functions of several variables, partial derivatives with applications, multiple integrals with applications, line integrals, surface integrals, vector fields, Greenâ€™s Theorem, the Divergence Theorem and Stokesâ€™ Theorem.

5 Credit Hours

Varied content offering of special interest to the discipline but not covered within existing courses; may be scheduled in a classroom/seminar setting or in nontraditional format.

0.5 - 9 Credit Hours

Solutions and applications of ordinary differential equations including separable, exact, homogeneous and non-homogeneous linear equations and others. Numerical approximation methods as well as substitutions, the total differential, separation of variables, integrating factors, undetermined coefficients, variation of parameters, Laplace Transforms and power series methods are covered.

4 Credit Hours

Systems of linear equations, matrices, determinants, linear transformations, Euclidean n-space, coordinate vectors, abstract vector spaces, dimension and rank, eigenvalues and eigenvectors, orthogonal vectors, least-square problems, diagonalization, quadratic forms, singular-value decomposition. Applications such as Markov chains and computer graphics will be covered. Students will be introduced to the use of MATLAB for Linear Algebra. Two classroom, two lab hours per week.

3 Credit Hours

Systems of linear equations, matrices, determinants, linear transformations, Euclidean n-space, coordinate vectors, abstract vector spaces, dimension and rank, eigenvalues and eigenvectors.

3 Credit Hours

Ordinary differential equations of first and second order including, the Laplace transform, numerical approximation methods and applications. Vectors in Rn, systems of linear equations, systems of differential equations, matrices, linear transformations, subspaces, dimension and rank, coordinate vectors, determinants, eigenvalues, eigenvectors and abstract vector spaces.

5 Credit Hours

This is the first of two mathematics courses designed for future elementary school teachers. The focus is on understanding numbers, operations, algebraic thinking, and number theory. This is a mathematics content course. Please note that this is not a teaching methods course, but a course focusing on using, justifying and connecting mathematical concepts. This course employs oral and written communication as both a learning tool and as preparation for handling mathematical questions which arise in elementary school classrooms. Discussion focuses on the deep mathematical reasoning underlying the computational procedures that are usually taught in elementary school. The course explores common misconceptions with preservice teachers, enabling the interpretation of children's work which might be incorrect, incomplete, or different from adult ways of thinking. Also this course is activity based, providing opportunities for deep, connected learning. It is essential for all teachers of mathematics to understand the reasoning underlying the mathematics they are teaching. They need to understand why various procedures work, how each idea they will be teaching connects with other important ideas in mathematics, and how these ideas develop and become more sophisticated. Please note that students are expected to pass a mathematics competency exam without the use of a calculator in order to be eligible to take the final exam.

5 Credit Hours

This is the second of two mathematics courses designed for future elementary school teachers. The focus is on understanding ratios, proportional relationships, functions, measurement, geometry, statistics, and probability. This is a mathematics content course. Please note that this is not a teaching methods course, but a course focusing on using, justifying and connecting mathematical concepts. This course employs oral and written communication as both a learning tool and as preparation for handling mathematical questions which arise in elementary school classrooms. Discussion focuses on the deep mathematical reasoning underlying the computational procedures that are usually taught in elementary school. The course explores common misconceptions with preservice teachers, enabling the interpretation of children's work which might be incorrect, incomplete, or different from adult ways of thinking. Also this course is activity based, providing opportunities for deep, connected learning. It is essential for all teachers of mathematics to understand the reasoning underlying the mathematics they are teaching. They need to understand why various procedures work, how each idea they will be teaching connects with other important ideas in mathematics, and how these ideas develop and become more sophisticated.

4 Credit Hours

A course in Discrete Mathematics for students interested in information technology, computer science, and related fields. Topics include logic, proof techniques, set theory, functions and relations, counting, elementary number theory, graphs and tree theory, base-n arithmetic, and Boolean Algebra.

4 Credit Hours

Discrete Mathematics for Computer Science. Topics include formal logic, proofs, sets, combinatorics, graphs, trees, Boolean algebras, and base-n arithmetic.

4 Credit Hours

Covers sample spaces and probability laws; discrete and continuous random variables with special emphasis on the binomial, Poisson, hypergeometric, normal and gamma distributions; fundamental sampling distributions and data descriptions; use of computer software packages for simulating, summarizing, and displaying data. Provides a foundation for the further study of statistics.

3 Credit Hours

Students work at an approved mathematics related industry site and will earn credits toward degree requirements for their work experiences. Students already working may apply to use that experience to meet internship requirements. Students prepare and submit reports and/or projects describing their industry experience and are evaluated by the course instructor as well as their on-site supervisor. Ten work hours per week per credit hour.

1 - 4 Credit Hours