  MATH106  Algebraic Operations  This course is intended to strengthen students’ ability in algebra. The course begins with such introductory topics as operations with real numbers, linear equations and inequalities, polynomials and factoring, quadratic equations, and systems of equations. This course also includes an introduction to rational expressions, radicals, and rational exponents.  MATH106X  Algebraic Operations  This course is intended to strengthen students’ ability in algebra. The course begins with such introductory topics as operations with real numbers, linear equations and inequalities, polynomials and factoring, quadratic equations, and systems of equations. This course also includes an introduction to rational expressions, radicals, and rational exponents.  MATH333X  Applied Statistics  This course explores statistical methods for describing and analyzing multivariate data. Topics include data transformations, analysis of variance, regression, and factor analysis. Data sets will be analyzed with statistical software. MATH307, MATH325, or concurrent enrolment in MATH212 recommended. Prerequisites: MATH206 and MATH208. (4 credits)  MATH207  Applied Trigonometry  This course is an indepth study of trigonometry with attention to theory, proofs, modeling, and history. Trigonometric and related functions are used to model, analyze, and solve reallife problems. Applications are chosen from disciplines such as agriculture, architecture, astronomy, biology, business, chemistry, earth science, engineering, medicine, meteorology, and physics. Topics covered include a review of trigonometric functions, right triangle trigonometry, analytic trigonometry, vectors and dot products, complex number theory, trigonometric forms of complex numbers, exponential, logarithmic and trigonometric models, Gaussian and logistic growth models, conic sections, and polar equations of conics. Prerequisite: MATH 205 with a grade of C or better.  MATH205  Calculus I  This course is an introduction to limits, continuity, and methods of differentiation. Application to problems in business management and physical science is emphasized. Prerequisite: MATH 203 with a grade of C or better or demonstrated competency through placement testing. Restrictions: not open to students who have completed MATH 206, or any 300 level mathematics courses.  MATH206  Calculus II  This is a continuation of Calculus I, covering integration, functions of several variables, partial differentiation, maxmin problems, derivatives and integrals of trigonometric functions and differential equations with applications to business, biological sciences, and physical sciences. Prerequisite: MATH 205 with a grade of C or better or demonstrated competency through placement testing. Restrictions: not open to students who have completed MATH 320, MATH 328, or MATH 330.  MATH307  Calculus III  This course is an introduction to sequences and series, parametric and polar curves, vectors and vector functions, partial derivatives, multiple integration, and vector calculus. Prerequisite: MATH 206 with a grade of C or better.  MATH107  College Geometry  This course is an introduction to the essentials of Euclidean geometry. Topics covered include: reasoning in mathematics, the relationship between algebra and geometry, analytic geometry, proofs and constructive triangles, circles, quadrilaterals, polygons, surfaces and solids, and historical notes about famous geometricians. Prerequisite: MATH 103 with a grade of C or better or demonstrated competency through placement testing.  MATH320  Differential Equations  This is an introduction to the many ways of solving various types of differential equations with emphasis on theory, methods of solution and applications. Topics include solutions of first, second and simple higher order differential equations, homogeneous and nonhomogeneous equations, solutions of systems of differential equations using the theory of matrices, and determinants. Prerequisite: MATH 206 with a grade of B or better.  MATH215X  Discrete Math  Topics will include logic, proofs, algorithms, counting, recurrence relations, graph theory, trees, networks, Boolean algebra, and automata.
Prerequisite: C or better in MATH 205
 MATH212  Finite Mathematics  The focus of this course is to develop mathematical models and to demonstrate the utility of various mathematical techniques that are most applicable to the creation of computer algorithms. Topics include functions and models, linear regression, solving systems of linear equations using matrices, matrix algebra and Leontief InputOutput models, linear programming (graphical and simplex methods), principle of duality, estimated and theoretical probability and Markov Chains. Applications are derived from current real world data and require mastery of Microsoft Excel and graphing calculator technology. Prerequisite: MATH 206 with a grade of C or better.  MATH104  Intermediate Algebra  This course is intended to strengthen students’ ability in algebra. The course begins with such introductory topics as linear equations and inequalities, polynomials and factoring, quadratic equations, and systems of equations. This course also includes an introduction to rational expressions, radicals, and rational exponents. Prerequisite: MATH 103 with a grade of C or better or demonstrated competency through placement testing. Restrictions: not open to students who have completed any 200 or higher level mathematics course (with the exception that students may take 104 currently with or after 204).  MATH499  Internship  The internship seminar is a work or research experience where students combine theory and practice.  MATH103  Introductory Algebra  This is an introduction to algebra beginning with a brief review of operations with real numbers. Topics include: algebraic expressions, solving linear equations and inequalities, rules for exponents, operations with polynomials, factoring techniques, quadratic equations, graphing linear equations, solving systems of equations. Restrictions: not open to students who have completed another mathematics course.  MATH325  Linear Algebra  This is an introductory course in linear algebra blending the requirements of theory, problem solving, analytical thinking, computational techniques, and applications. Topics include indepth treatment of matrix algebra, linear systems, vector spaces, linear transformations, determinants and computer methods, as well as applications and modeling of real phenomena in transportation systems, archaeology, economics, communications, demography, weather prediction, connectivity of networks, graph theory, and fractals. Prerequisite: MATH 206 with a grade of C or better.  MATH210  Math Applied to Science  This course provides a review of fundamental mathematical concepts such as probability and trigonometric, exponential and logarithmic functions and explores the ways that these topics and techniques have been applied to investigations in architecture, calculus, exponential growth and decay, logarithmic scales, earthquake analysis, astronomy, biology, medicine, genetics, radiocarbon dating, chemistry, and Newtonian physics. The course is designed to demonstrate the power and utility of mathematics and explores the development of mathematics during the Middle Ages and the Renaissance, especially in Greek, Hindu and Arabic cultures. Prerequisite: MATH 205 with a grade of C or better.  MATH399  Mathematical Applications  In this capstone course, Students investigate mathematics from a variety of fields and choose a topic for a mathematics project in their Field of Application. Mathematical methods for analysis, modeling, prediction, and/or problem solving are discussed. Students demonstrate knowledge of a substantial area of mathematics and present their work at a department seminar or the Connected Learning Symposium.  MATH330  Mathematical Modeling  This is an applicationoriented course on how to solve real word problems from the social, medical and life sciences, business, and economics by setting up a mathematical model of the situation and then developing techniques for analyzing these models and solving them. Topics include the modeling process, linear models, financial models, modeling using proportionality, fitting linear and nonlinear models to data graphically, the leastsquared criterion, linear programming models, modeling using the derivative, matrix and probability models, Markov chain models, and modeling interactive dynamic systems. Prerequisite: MATH 206 with a grade of C or better.  MATH338  Mathematical Statistics  In this introduction to statistical theory, the roles probability and statistics play in business analysis and decision making are investigated. Topics include probability distributions, statistical inference, sampling distribution theory, and applications. Prerequisite: Math 206 with a grade of C or better.  MATH328  Mathematics Applied to Management  This course explores the art of mathematical modeling of managerial decision problems and the science of developing the solution techniques for these models. Topics include management science techniques used in today’s businesses, e.g., breakeven analysis, presentation models, linear programming, transportation and assignments problems, decision theory, forecasting and inventory models, Markov analysis, and solution of nonlinear models in business using calculusbased optimization. Prerequisite: MATH 206 with a grade of C or better.  MATH304X  Mathematics for Educators  This course engages students in mathematical concepts through examples, investigations, and active problem solving explorations. Content is drawn from subject matter knowledge required for elementary and early childhood licensure, with emphasis on number theory and operations. This course is for students seeking elementary or early childhood licensure. Concurrent enrollment in ED 335 is required.  MATH116  Merchandising and Financial Mathematics  This course focuses on retail mathematics. Topics include simple and compound interest, the timevalue of capital, annuities, amortization, sinking funds, bond and investment, business problemsolving and decision making. Other topics include profit, loss, and breakeven analysis, pricing, inventory, and merchandise planning. The course introduces basic theories of statistics. Prerequisite: MATH 103 with a grade of C or better or demonstrated competency through placement testing.  MATH109  Modern Mathematics  This course is an introduction to mathematics developed in the last onehundred years. The course connects recentlydiscovered mathematics with current, realworld problems. Aesthetic elements of mathematics are emphasized. Topics may include the mathematics of voting, sharing, touring, games, networks, scheduling, money, symmetry, fractal shapes, descriptive statistics, and probability. The course can be used as a prerequisite for MATH 208Introduction to Statistics, but will not serve as a prerequisite for MATH 203Precalculus or MATH 205Calculus. The course is appropriate for students majoring in Communication, Criminal Justice, English/History/Humanitieswith Secondary Ed, English, Environmental Studies, Fashion Design, History, Hospitality and Event Management, Humanities, Human Services, Law and Public Affairs, Legal Studies, Psychology, Sociology, or Sport Management. Prerequisite: MATH 103 with a grade of C or better or through placement testing.  MATH203  Precalculus  This course prepares students for the study of calculus, physics and other courses requiring precalculus skills. Included is a review of algebra, coordinate geometry, the solution of systems of equations, and the analysis and graphing of linear, quadratic, inverse, polynomial, and rational functions. There is a thorough treatment of exponential, logarithmic, and trigonometric functions. An important goal is for students to develop a geometric understanding of functions and their properties. Prerequisite: MATH 104 with a grade of C or better or demonstrated competency through placement testing. Restrictions: not open to students who have completed 205, 206, or any 300 level mathematics course successfully.  MATH208  Statistics  This is an introductory course in descriptive and inferential statistics with an emphasis on applications in business and the social and biological sciences. Topics include: data analysis, and graphical methods of describing data, measures of central tendency and variability, probability, the normal distribution, sampling distributions, confidence intervals, hypothesis testing, correlation, and regression analysis. Prerequisites: MATH 104, MATH 109, or MATH 204 with a grade of C or better or demonstrated competency through placement testing and ENG 102. 
