This course is designed to supplement the concepts learned in MATH 1332 and MATH 1342.
Grade Basis: L
Lecture hours: 2.0
Restrictions:
This course is designed to supplement the concepts learned in MATH 1314.
Grade Basis: L
Lab hours: 2.0
Corequisites:
In-depth study and applications of polynomial, rational, radical, exponential and logarithmic functions, and systems of equations using matrices. Additional topics such as sequences, series, probability, and conics may be included.
Grade Basis: ALP
Credit hours: 3.0
Lecture hours: 3.0
Lab hours: 1.0
Restrictions:
In-depth study and applications of trigonometry including definitions, identities, inverse functions, solutions of equations, graphing, and solving triangles. Additional topics such as vectors, polar coordinates and parametric equations may be included.
Grade Basis: ALP
Credit hours: 3.0
Lecture hours: 3.0
Restrictions:
The application of common algebraic functions, including polynomial, exponential, logarithmic, and rational, to problems in business, economics, and the social sciences are addressed. The applications include mathematics of finance, including simple and compound interest and annuities; systems of linear equations; matrices; linear programming, and probability, including expected value.
Grade Basis: ALP
Credit hours: 3.0
Lecture hours: 3.0
Restrictions:
This course is the basic study of limits and continuity, differentiation, optimization and graphing, and integration of elementary functions, with emphasis on applications in business, economics, and social sciences. This course is not a substitute for MATH 2413, Calculus I.
Grade Basis: ALP
Credit hours: 3.0
Lecture hours: 3.0
Prerequisites:
Intended for Non STEM (Science, Technology, Engineering, and Mathematics) majors. Topics include introductory treatments of sets and logic, financial mathematics, probability and statistics with appropriate applications. Number sense, proportional reasoning, estimation, technology, and communication should be embedded throughout the course. Additional topics may be covered.
Grade Basis: ALP
Credit hours: 3.0
Lecture hours: 3.0
Lab hours: 1.0
Restrictions:
Collection, analysis, presentation and interpretation of data, and probability. Analysis includes descriptive statistics, correlation and regression, confidence intervals and hypothesis testing. Use of appropriate technology is recommended. (RM)
Grade Basis: ALP
Credit hours: 3.0
Lecture hours: 3.0
Lab hours: 1.0
Restrictions:
This course is intended to build or reinforce a foundation in fundamental mathematics concepts and skills. It includes the conceptual development of the following: sets, functions, numeration systems, number theory, and properties of the various number systems with an emphasis on problem solving and critical thinking.
Grade Basis: ALP
Credit hours: 3.0
Lecture hours: 3.0
Prerequisites:
Restrictions:
This course is intended to build or reinforce a foundation in fundamental mathematics concepts and skills. It includes the concepts of geometry, measurement, probability, and statistics with an emphasis on problem solving and critical thinking.
Grade Basis: ALP
Credit hours: 3.0
Lecture hours: 3.0
Prerequisites:
Restrictions:
A course designed to prepare math, computer science, and engineering majors for a background in abstraction, notation, and critical thinking for the mathematics most directly related to computer science. Topics include: logic, relations, functions, basic set theory, countability and counting arguments, proof techniques, mathematical induction, combinatorics, discrete probability, recursion, sequence and recurrence, elementary number theory, graph theory, and mathematical proof techniques.
Grade Basis: ALP
Credit hours: 3.0
Lecture hours: 3.0
Prerequisites:
Restrictions:
In-depth combined study of algebra, trigonometry, and other topics for calculus readiness.
Grade Basis: ALP
Credit hours: 3.0
Lecture hours: 3.0
Lab hours: 1.0
Prerequisites:
Restrictions:
Introduces and provides models for application of the concepts of vector algebra. Topics include finite dimensional vector spaces and their geometric significance; representing and solving systems of linear equations using multiple methods, including Gaussian elimination and matrix inversion; matrices; determinants; linear transformations; quadratic forms; eigenvalues and eigenvector; and applications in science and engineering.
Grade Basis: ALP
Credit hours: 3.0
Lecture hours: 3.0
Prerequisites:
Restrictions:
Ordinary differential equations, including linear equations, systems of equations, equations with variable coefficients, existence and uniqueness of solutions, series solutions, singular points, transform methods, and boundary value problems; application of differential equations to real-world problems.
Grade Basis: ALP
Credit hours: 3.0
Lecture hours: 3.0
Lab hours: 1.0
Prerequisites:
Restrictions:
Limits and continuity; the Fundamental Theorem of Calculus; definition of the derivative of a function and techniques of differentiation; applications of the derivative to maximizing or minimizing a function; the chain rule, mean value theorem, and rate of change problems; curve sketching; definite and indefinite integration of algebraic, trigonometric, and transcendental functions, with an application to calculation of areas.
Grade Basis: ALP
Credit hours: 4.0
Lecture hours: 4.0
Lab hours: 1.0
Prerequisites:
Restrictions:
Differentiation and integration of transcendental functions; parametric equations and polar coordinates; techniques of integration; sequences and series; improper integrals
Grade Basis: ALP
Credit hours: 4.0
Lecture hours: 4.0
Prerequisites:
Restrictions:
Advanced topics in calculus, including vectors and vector-valued functions, partial differentiation, Lagrange multipliers, multiple integrals, and Jacobians; application of the line integral, including Green's Theorem, the Divergence Theorem, and Stokes' Theorem.
Grade Basis: ALP
Credit hours: 4.0
Lecture hours: 4.0
Prerequisites:
Restrictions: