The course covers the basic computations involved in working with whole numbers, fractions, decimal’s, percent’s, squares, and other topics.
A study of basic mathematics, enabling the student to gain math proficiency required for vocational programs. Topics included are decimals, fractions, calculator use, and measurement.
This course covers properties and operations of numbers, equations, computation with positive and negative numbers, and graphs.
Properties of the real number system, factoring, linear and quadratic equations, polynomial and rational expressions, inequalities, systems of equations, exponents, radicals, functional notation, rational equations and absolute value equations.
Relations and functions, equations and inequalities, complex numbers; polynomial rational, exponential and logarithmic functions and systems of equations. Graphing calculators are required.
Systems of linear equations and inequalities, matrices, linear programming mathematics of finance, elementary probability, and descriptive statistics.
Angle measure trigonometric and inverse trigonometric functions, trigonometric identities and equations, parametric polar coordinates, and general application.
Equations and inequalities, polynomial, rational, exponential, logarithmic, trigonometric and inverse trigonometric functions, trigonometric identities and equations and applications.
Systems of linear equations, row operations, echelon form, matrix operations, inverses determinants, vectors in Euclidean space, vector spaces, subspaces, homogeneous systems, linear independence, rank, and dimension.
Limits, derivatives, integrals, exponential and logarithmic functions, and applications. Graphing calculator required.
Limits, continuity, differentiation, Mean Value Theorem, integration, Fundamental Theorem of Calculus, and applications.
Applications and techniques of integration, polar equations, parametric equations, sequences and series, power series and application.
An introduction to statistical methods of gathering, presenting and analyzing data. Topics include probability and probability distributions, confidence intervals, hypothesis testing, and linear regression and correlation.
Multivariate and vector calculus including partial derivatives, multiple integration and its applications, line and surface integrals, Green’s Theorem and Stoke’s Theorem.
Solution of elementary differential equations by elementary techniques, Laplace transforms, systems of equations, matrix methods, numerical techniques and applications.