MATH 1200 Elementary Statistics
Credit: 3 hours
Prerequisite: At least a "C" in MATH 1101 or MATH 1111 or permission of instructor
This is an introduction to the basic concepts and principles of statistics with elementary applications. Topics include data organization, data description, probability, normal distributions, sampling distributions, confidence intervals and hypothesis testing. A statistical or graphing calculator is required. Three hours per week.
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MATH 1220 Discrete Mathematics
Credit: 3 hours
Prerequisite: At least a "C" in MATH 1111 or a math SAT score of at least 550
This course is an introduction to discrete sets. Selected topics include sets, logic, counting, graph theory, trees, and algorithms. The course is designed primarily for Computer Science majors. Three hours per week.
MATH 2252 Calculus II
Credit: 4 hours
Prerequisite: At least a "C" in MATH 1251 or a math SAT score of at least 700 or permission of instructor
This is the second course in a three-course sequence designed primarily to provide mathematics and natural science majors with necessary mathematical understanding and skills. Topics include differentiation of logarithmic, exponential, and inverse trigonometric functions, techniques of integration, L’Hospital’s rule, improper integrals, numerical methods, infinite series, and polar coordinates. A graphing calculator is required. Four hours per week.
MATH 2253 Calculus III
Credit: 4 hours
Prerequisite: At least a "C" in MATH 2252 or permission of instructor
This is the third course in a three-course sequence designed primarily to provide mathematics and natural science majors with necessary mathematical understanding and skills. Topics include vector spaces and analytic geometry in two and three-space, calculus of vector-valued functions, calculus of functions of several variables, and vector analysis. A graphing calculator is required. Four hours per week.
MATH 2260 Introduction to Linear Algebra
Credit: 3 hours
Prerequisite: At least a "C" in MATH 2252 or permission of instructor
This is a matrix-oriented introduction to linear algebra through the study of systems of linear equations, determinants, Euclidean vector spaces, linear transformations, eigenvalues and eigenvectors, and related topics. A graphing calculator is required. Three hours per week.