MSHP: Mathematics

Mathematics courses cover a wide range of topics and levels, catering to diverse interests and academic needs. The content and difficulty of these courses vary, but they generally fall into several broad categories.

DEVM-098

Dev. Mathematics 098 MS

This course is the first of a two semester sequence of courses which provides a systematic review of mathematics with utilization of programmed materials so that each student progresses at his/her own rate. (Non Degree Credit)

NOTES: DEVM098 consists of the first 5 chapters of the book. Students who complete the first 5
chapters before the end of the semester, can work on DEVM099 (chapters 6-10). If students complete chapters 1-10 during one semester, they will be placed into DEVM100.

DEVM-099

Dev. Math 099 MS

DEVM099 is the second of a two semester sequence of courses which provide a systematic review of mathematics with the utilization of programmed materials, so that each student progresses at his/her own rate. (Non Degree Credit).

NOTES: DEVM099 consists of the second 5 chapters (chapters 6-10) of the book. Students who completed DEVM099 will be placed into DEVM100.

DEVM-100

Dev. Mathematics--Prealgebra MS

DEVM DEVM100 is a systematic review of the basics of algebra with the utilization of programmed materials. It is designed for students who have placed into it or have completed DEVM 098/099 satisfactorily but are not ready to go on to MATH107. (Non Degree Credit).

MATH-107

Applied Mathematical Concepts MS

MATH This course is intended for students who are pursuing applied science degrees (not requiring college algebra). The emphasis is on applications and problem solving. The following topics are introduced through solving practical problems which involve the modeling of natural phenomena. Topics of study include numerical analysis, variation, modeling with functions and equations, operations with polynomials, greatest common factor, introduction to functions, graphical analysis, and models of growth, linear equations and inequalities, and polynomials as related to applied sciences such as nursing, criminal justice, accounting, commercial floriculture, floral design, landscape design/construction management, and marketing.

MATH-108

Intro Computer Science MS

MATH This course is an introduction to the basic techniques of numerical analysis and programming using C++ on the microcomputers. It includes discussions of computer history, algorithms, flow, charts, and the structure and design of software, including debugging. Students get actual experience operating a computer and peripheral equipment. The course is designed for business and engineering students. Class meets 4 hours per week. 2 lecture hours, 2 lab hours.

MATH-111

College Algebra MS MATH

A review of the fundamental topics of algebra including the complex number systems simplification and manipulation of algebraic expressions involving polynomials, rational exponents, radicals, fractions, the solution of polynomial equations and inequalities. Emphasis is placed on the study of the following functions: polynomial, rational, exponential, and logarithmic and their applications. These will be explored using traditional graphing techniques, and calculators.

MATH-114

Trigonometry MS MATH

The study of the six trigonometric and circular functions, their inverses, the identities, associated with these functions, the graphs, associated with these functions, trigonometric, equations and their applications. A graphing calculator is recommended.

MATH-115

Survey of Statistics MS MATH

Focuses on statistical reasoning and the solving of problems using real-world data rather than on computational skills. Strong emphasis is on interpretation and evaluation of statistical results that arise from simulation and technology-based computations using technology such as the required TI83/84 Graphing Calculator with a built-in statistical package and Microsoft Excel spreadsheets. Topics include data collection, processes (observational studies, experimental, design, sampling techniques, bias), descriptive methods using quantitative and qualitative data, bivariate data, correlation, and least­-squares, regression, basic probability theory, probability, distributions (normal distributions and normal curve, binomial distribution), confidence intervals and hypothesis tests using p-values. This course is designed as a general survey of basic statistical methods. Emphasis is placed on methodology and applications to biological, social, and management sciences are stressed to underscore the practicality of the material.

MATH-116

Math in Society MS MATH

Focuses on mathematical reasoning and the solving of real-life problems and appreciation, rather than on routine skills. Three or four topics are studied in depth, including statistics, counting techniques and probability, mathematics of finance and math in democracies/politics.

MATH-118

Math for Elementary Ed I MS MATH

The study of concepts taught in elementary school with a focus on problem solving and reasoning. Topics include whole numbers, rational numbers, irrational numbers, basic number theory, arithmetic, number patterns, and algebra. This is the first of a two-course sequence (followed with MATH 119).

MATH-119

Math of Elem Educ II MS MATH

The second of a two-course sequence (along with MATH 118). Together, these two courses are designed to help you develop the mathematical content knowledge necessary to effectively teach math at the elementary level. Emphasis is placed on structure, meaning, relationships, and types of thinking in elementary mathematics. This course focuses on measurement, geometry, statistics, and probability.

MATH-120

Calc & Analytic Geom I MS MATH

The course is the first of a three semester sequence of integrated calculus and analytic geometry. Both understanding of theoretical concepts and the ability to use manipulative techniques are considered of prime importance. The approach is intuitive and after the student has attained a conceptual understanding, the theorems are advanced and proved. Time is spent in applications as they arise throughout the course. The course presumes algebraic and trigonometric competency at the 70% level or higher. Graphing calculator recommended.

MATH-125

Business Calculus MS MATH

A freshman level calculus class intended for transfer students pursuing degrees in the fields of agricultural science, business/accounting, engineering/industrial technology and psychology. This course may also serve as a math elective for various other transfer programs, but will not count toward a major or minor in mathematics. Emphasis is on applications of the basic concepts of calculus rather than proofs and business and social science applications are stressed throughout the course. The course covers a broad range of topics that include limits and continuity, the definition of the derivative techniques for differentiation applied to polynomial, rational, exponential and logarithmic functions, applications of the derivative, maxima and minima of functions, single and multivariable, calculus, higher order derivatives, implicit differentiation, the antiderivative and indefinite integral, techniques of integration including substitution and integration by parts, numerical integration and the Riemann sum, the fundamental theorem of calculus, the definite integral and double integrals. Other topics covered may include but would not be restricted to differentials and approximation, improper integrals, functions of several variables, partial derivatives and multiple integrals. The class meets four hours per week.

MATH-130

Calc & Analytic Geom II MS MATH

The second course in calculus and analytic geometry. Topics include techniques of integration and differentiation of exponential, logarithmic, trigonometric, and hyperbolic functions; limit of indeterminate forms; polar coordinates; parametric equations; conic sections; infinite series. Both the understanding of theoretical concepts and the ability to use manipulative techniques are considered of prime importance. A TI-83 or better calculator is recommended.

MATH-135

Finite Math MS MATH

An introduction to finite mathematics for students in the social or life sciences, business and economics, with applications from these fields. Emphasis is on concepts and applications, rather than mathematical structures. Required topics must include systems of linear equations and matrices, linear programming, counting and probability theory. Additional topics include vectors, determinants, and systems of inequalities, simplex method, set theory, logic and Boolean algebra, stochastic processes, game theory, Markov chain methods, mathematical modeling and the mathematics of finance. Instruction on computer programming, techniques using calculators will be included. Not for Math or Science majors. May be taken before MATH 125.

MATH-137

Linear Algebra MS MATH

This course is a study of introductory linear algebra. Basic techniques are introduced involving vectors and matrices; vector spaces and subspaces; linear dependence and independence, transformations and dimensionality; determinants; orthogonality; and inner product spaces. MATLAB and Mathematica are utilized as a tool for working with tedious problems.

MATH-140

Calc & Analytic Geom III MS MATH

The third course in calculus and analytic geometry. Topics include vectors in 2 and 3-dimensions, vector operations, lines and planes in space, quadric surfaces, cylindrical and spherical coordinates, partial derivatives, directional derivatives, gradients, double and triple integrals and their applications. Both the understanding of theoretical concepts and the ability to use manipulative techniques are considered of prime importance. A TI-83 or better calculator is recommended.

MATH-161

Statistics MS MATH

Introductory statistics course at the non-calculus level. Focuses on statistical reasoning and the solving of problems using real-world data rather than on computational skills. Emphasis is on interpretation and evaluation of statistical results that arise from simulation and technology-based computations using technology more advanced than a basic scientific calculator such as graphing calculators with a statistical package (TI83/84 recommended), spreadsheets, (Microsoft Excel will be used), or statistical, computing software. Topics include data collection, processes (observational studies, experimental design, sampling techniques, bias), descriptive methods using quantitative and qualitative data, bivariate data, correlation, and least­-squares regression, basic probability theory, probability distributions (normal distributions and normal curve, binomial distribution), confidence intervals and hypothesis tests using p-values.

MATH-211

Differential Equations MS MATH

This is the first course regarding to the theory and application of differential equations. Students will learn graph method, numerical method, and analytical method to solve differential equations with the emphasis in the analytical method. Topics include first-order, second-order and higher-order differential equations; linear systems of differential equations, Laplace transforms, series solutions and numerical methods. Both the understanding of theoretical concepts and the ability to use manipulative techniques are considered of prime importance.