# Mathematics (MATH)

MATH1000 | Algebra & Trigonometry | Lecture (3 Credits)

Real numbers and polynomials, exponents and radicals, fractional equations; proportions and linear equations; trigonometric functions, solutions of triangles, radians, trig functions graphs, vectors, and basic identities.

General Education: Mathematics

MATH1050 | Algebra, Trigonometry & Geometry | Lecture (3 Credits)

Principles of algebra, geometry and trigonometry used in the context of a technical setting. Problem-solving strategies are developed and applied to technology.

General Education: Mathematics

MATH1110 | Introductory College Algebra | Lecture (2 Credits)

Real numbers and polynomials, exponents and radicals, fractional equations; proportions and linear equations.

General Education: Mathematics

MATH1200 | Machine Math | Lecture (3 Credits)

Translation of engineering drawing dimensions to machine working dimensions. Integration of algebra, geometry and trigonometry to solve machine applications. Applications of compound angles.

General Education: Mathematics

MATH1250 | Boolean Algebra | Lecture (3 Credits)

Binary, octal and hexadecimal number systems. Boolean algebra and mapping.

General Education: Mathematics

MATH1300 | Boolean Algebra & Number Systems | Lecture (2 Credits)

Binary, octal and hexadecimal number systems. Boolean algebra and mapping.

General Education: Mathematics

MATH1350 | Concepts of Calculus | Lecture (3 Credits)

Systems and graphs of linear and quadratic equations, functions, limits, differentiation, implicit differentiation, related rates, integration; applications of the derivative and integral.

General Education: Mathematics

MATH1500 | Algebra, Trig & Boolean Algebra | Lecture (5 Credits)

Polynomials, proportions and linear equations. Trig functions, graphs, and vectors. Binary, octal and hexadecimal number systems. Boolean Algebra and mapping.

General Education: Mathematics

MATH1700 | Pre Calculus | Lecture (3 Credits)

Preparation for Calculus. Topics include understanding functions from symbolic, tabular, and graphical perspectives. Explore function transformations and composition, polynomial functions, rational polynomial functions, trigonometric functions, exponential functions, and conic sections. The focus is on problem solving using mathematical models to represent real world situations.

General Education: Mathematics

MATH1810 | Calculus I | Lecture (3 Credits)

The fundamental tool used by engineers and scientists to determine critical measurements, such as maximums, minimums and allowable rates of change. Computer software will enable the application of limits, derivatives, transcendental functions, implicit differentiation and related rates.

Corequisite(s): PHYS1800 Lec/Lab, PHYS1810 Lecture

General Education: Mathematics

MATH1811 | Calculus I | Lecture (4 Credits)

The fundamental tool used by engineers and scientists to determine critical measurements, such as maximums, minimums and allowable rates of change. Utilize multiple methods in the calculation and application of limits, derivatives, transcendental functions, implicit differentiation and related rates.

Corequisite(s): PHYS1800 Lec/Lab, PHYS1810 Lecture

General Education: Mathematics

MATH1820 | Calculus II | Lecture (3 Credits)

The fundamental tool used by engineers and scientists to determine critical measurements, such as calculating the area under curves or the capacities inside of complex geometries. Computer software will enable the application of the definite integral, the fundamental theorem of calculus, applications of integration, and numerical methods of integration.

Prerequisite(s): MATH1810 Lecture (May be taken concurrently) Min Credits: 3.00 Or MATH2200 Lecture (May be taken concurrently) Min Credits: 3.00

Corequisite(s): PHYS1820 Lec/Lab

General Education: Mathematics

MATH1821 | Calculus II | Lecture (4 Credits)

The fundamental tool used by engineers and scientists to determine critical measurements such as the area under curves, the volumes within complex geometries, and for describing functions as an infinite series. Computer software enables the application of the definite integral, the fundamental theorem of calculus, applications of integration, and numerical methods of integration.

Prerequisite(s): (MATH1810 Lecture (May be taken concurrently) Min Credits: 3.00 Or MATH1811 Lecture (May be taken concurrently) Min Credits: 4.00)

Corequisite(s): MENG1230 Lecture, PHYS1820 Lec/Lab

General Education: Mathematics

MATH1910 | Mathematics Topics I | Lecture (1 Credit)

Topics in mathematics selected by faculty assigned to the course.

General Education: Mathematics

MATH1920 | Math Special Topics II | Lecture (2 Credits)

MATH Special Topics II focuses on topics in math selected by faculty assigned to the course.

General Education: Mathematics

MATH2250 | Statistics | Lecture (3 Credits)

Descriptive and inferential statistics, frequency distributions, probability theory, and issues related to gathering data; computer spreadsheets facilitate the organization, analysis and display of data.

General Education: Mathematics

MATH2260 | Probability & Statistics | Lecture (4 Credits)

Introduction to probability and statistics with applications. Topics include: basic combinatorics, random variables, probability distributions, hypothesis testing, confidence intervals, and linear regression.

Prerequisite(s): MATH1820 Lecture (May be taken concurrently) Min Credits: 3.00 Or MATH1821 Lecture (May be taken concurrently) Min Credits: 4.00

General Education: Mathematics

MATH2810 | Multi-Variable Calculus | Lecture (4 Credits)

Differentiate and integrate functions of two and three variables. Apply differentiation and integration techniques to physical sciences and engineering. Explore the theorems of Green and Stokes.

Prerequisite(s): MATH1820 Lecture (May be taken concurrently) Min Credits: 3.00

General Education: Mathematics

MATH2820 | Linear Algebra & Differential Equations | Lecture (4 Credits)

Introduction to Linear Algebra, including vector spaces and linear mappings between such spaces. Explore solution methods for ordinary differential equations, qualitative techniques; includes matrix methods approach to systems of linear equations and series solutions.

Prerequisite(s): MATH1810 Lecture (May be taken concurrently) Min Credits: 3.00 And MATH1820 Lecture (May be taken concurrently) Min Credits: 3.00

General Education: Mathematics

MATH3000 | Intermediate Statistics | Lecture (2 Credits)

Descriptive statistics, frequency distribution, normal probability functions and sampling distributions, estimation of population parameters, tests of statistical hypotheses and inference, t, F, chi-square, correlation, regression analysis and analysis of variance.

General Education: Upper Mathematics